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Every system we run, documented for you

Implementation playbooks, scored templates, and campaign frameworks — the same tools we use in live client accounts, distilled from 160+ Google Ads and Meta Ads engagements. Four tiers from quick diagnostic audits to full-scale operating systems. Built for operators who prefer frameworks over guesswork.

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Google Ads

28 products

Not sure where to start? Follow the Google Ads learning path — 4 tiers from quick diagnostic audits to a complete operating system. Most buyers begin with Foundation and advance when their accounts are ready.

See the learning path →

starter Tier

4 products

startergoogle ads

The Negative Keyword Master Pack

The exact negative keyword system behind 160+ ecommerce accounts. 10 industries. 3,500+ keywords. Every one earned its place by wasting real money.

$47View details →

startergoogle adsshopping

The Product Title Scorecard

Score every title across 5 dimensions — placement, coverage, originality, relevance, and execution. Built from 500+ feed audits where we've seen one rewrite cycle add 34% more Shopping clicks. Takes about 15 minutes. You'll know exactly which titles are costing you impressions and which dimension to fix first.

$47View details →

startergoogle adsmeasurement

The Tracking Audit Kit

The same 5-layer audit we run on every account spending $10K–$500K/month. Two hours, start to finish — you'll know exactly what's broken, why it matters, and what it's costing you in misattributed spend. Most agencies skip at least two of these layers. That's why their audits miss things.

$47View details →

startergoogle adsmeasurement

The Account Health Scorecard

Score your Google Ads across 5 pillars — campaign architecture, extensions, negative keywords, conversion setup, and budget allocation. Takes about 90 minutes, built from the same diagnostic framework we've run on 400+ accounts. The average account carries 23% structural waste. Most operators don't know it's there until they look.

$47View details →

core Tier

17 products

coregoogle ads

# Bonus: Search Term Waste Calculator

**Standalone Value**: $37
**Format**: Google Sheets Template
**Time to Use**: 2 minutes

---

## Why This Exists

Your search term report has the answers. The problem is it has 500-5,000 rows of data and no prioritization. You need to know two things: how much you're wasting, and which queries to block first.

This calculator does both in under 2 minutes.

---

## How to Use It

### Step 1: Export Your Search Term Report

1. Open Google Ads
2. Navigate to Insights   Reports   Search terms
3. Set date range to last 30 days
4. Click the download icon (top right)
5. Select CSV format

### Step 2: Paste Into the Calculator

1. Open the Search Term Waste Calculator (Google Sheets)
2. Go to the "Raw Data" tab
3. Paste your exported CSV data starting at row 2
4. The "Analysis" tab updates automatically

### Step 3: Read Your Results

The Analysis tab shows:

**Waste Summary**
- Total spend on zero-conversion terms (clicks  = 3)
- Waste percentage of total spend
- Estimated monthly savings from blocking top candidates

**Top Negative Candidates** (sorted by wasted spend)
- Search term
- Impressions, clicks, cost, conversions
- Suggested match type (broad, phrase, or exact)
- Waste category (wrong intent, product gap, semantic drift, competitor)

**Category Breakdown**
- Waste grouped by category
- Percentage of total waste per category
- Which tiers of the 5-Tier System are covered vs. missing

---

## Reading Your Results

| Waste % | Status | Action |
|---------|--------|--------|
| Under 10% | Healthy | Minor gaps. Add top 10 candidates and monitor monthly. |
| 10-20% | Moderate | Significant gaps. Deploy full Universal Pack + industry pack. |
| 20-30% | High | Typical for accounts without a structured negative system. Deploy all packs immediately. |
| 30%+ | Critical | Heavy waste. Deploy all packs and review search terms weekly for 4 weeks. |

---

## Formulas Used

**Zero-Conversion Flag**: Cost   $0 AND Conversions = 0 AND Clicks  = 3
- Why clicks  = 3: Single or double clicks may be exploratory. Three or more clicks at zero conversions is a reliable waste signal.

**Waste Percentage**: Total cost of zero-conversion terms (3+ clicks) / Total account spend x 100

**Match Type Suggestion**:
- Single word, always irrelevant → Broad
- Multi-word phrase → Phrase
- Risk of over-blocking (contains "review", "best", etc.) → Exact

**Category Assignment**:
- Contains job/career/hiring keywords → Wrong Intent
- Contains competitor brand names → Competitor
- Contains product categories not in your catalog → Product Gap
- Contains your keywords + irrelevant modifier → Semantic Drift

---

## Example Output

From a real $15K/month supplements account:

| Search Term | Clicks | Cost | Conv | Suggested Match | Category |
|-------------|--------|------|------|-----------------|----------|
| vitamin d side effects | 47 | $61.20 | 0 | Phrase | Semantic Drift |
| best supplements reddit | 23 | $34.50 | 0 | Exact [best] | Wrong Intent |
| wholesale vitamins bulk | 18 | $27.00 | 0 | Broad | Product Gap |
| gnc near me | 14 | $19.60 | 0 | Phrase | Competitor |
| free vitamin samples | 11 | $16.50 | 0 | Broad | Wrong Intent |
| **Total flagged waste** | **387** | **$1,240** | **0** | | |

Waste percentage: 8.3% of $15K monthly spend
Monthly savings estimate: $1,240 (conservative - only counts terms with 3+ clicks)

This account had 43 negative keywords before the audit. After implementing the calculator's top 50 recommendations plus the Universal Pack, waste dropped to under 3%.


# Bonus: Negative Keyword Audit Checklist

**Standalone Value**: $27
**Format**: 30-Point Checklist
**Time to Complete**: 20 minutes

---

## Why This Exists

You can't fix what you don't measure. This checklist audits your current negative keyword coverage across all 5 tiers of the system. After 20 minutes, you'll know exactly where your gaps are and which tiers need immediate attention.

Most accounts fail at least 10 of the 30 checks. The ones that fail 15+ are usually wasting 25%+ of their budget.

---

## How to Use It

1. Open your Google Ads account
2. Go through each check below
3. Mark each as PASS or FAIL
4. Count your failures by tier
5. Use the priority table at the bottom to decide where to start

---

## The 30-Point Audit

### Tier 1: Competitor Brands (6 checks)

| # | Check | Pass/Fail |
|---|-------|-----------|
| 1 | Top 5 competitors' brand names are added as phrase match negatives | |
| 2 | Common misspellings of competitor names are included (e.g., "abstarct ocean" for "abstract ocean") | |
| 3 | Competitor + modifier phrases are included ("competitor coupon", "competitor store", "competitor reviews") | |
| 4 | Competitor parent company names are included where relevant | |
| 5 | Competitor negatives are correctly applied to Shopping/brand campaigns but NOT to conquest campaigns | |
| 6 | New competitors are reviewed and added at least quarterly | |

**Tier 1 Score**: ___/6

### Tier 2: Wrong Intent (6 checks)

| # | Check | Pass/Fail |
|---|-------|-----------|
| 7 | All 7 always-apply categories deployed (job seekers, free seekers, piracy, adult, complaints, warranty, social media) | |
| 8 | Applicable conditional categories deployed based on brand positioning | |
| 9 | Each conditional category correctly applied OR skipped with documented rationale | |
| 10 | Foreign language spam queries blocked (Hindi, Arabic, Cyrillic characters appearing in search terms) | |
| 11 | Social media platform names blocked where appropriate (as exact match to avoid over-blocking) | |
| 12 | Adult content terms blocked as exact match, NOT broad (to preserve "adult size" in apparel) | |

**Tier 2 Score**: ___/6

### Tier 3: Product Gaps (6 checks)

| # | Check | Pass/Fail |
|---|-------|-----------|
| 13 | Every product category you DON'T sell is listed and blocked | |
| 14 | Adjacent product categories that share keywords are blocked (e.g., "travel pillow" for a sleep pillow brand) | |
| 15 | Service queries blocked if you only sell products (e.g., "repair", "installation", "service near me") | |
| 16 | Geographic queries blocked if online-only ("near me", "store hours", "directions to") | |
| 17 | Product-specific support queries blocked (e.g., "product not working", "how to fix [product]") | |
| 18 | Queries for discontinued products are handled (either blocked or redirected) | |

**Tier 3 Score**: ___/6

### Tier 4: Semantic Drift (6 checks)

| # | Check | Pass/Fail |
|---|-------|-----------|
| 19 | "How to remove/clean/fix [your product]" queries blocked (existing owner intent) | |
| 20 | "[your product] problems" and "[your product] issues" queries reviewed and handled | |
| 21 | Informational modifiers blocked from BOF conversion campaigns ("what is", "how does", "guide") | |
| 22 | "[your product] alternative" queries reviewed (some are conquest opportunities, not negatives) | |
| 23 | Seasonal drift patterns identified (holiday queries, event queries unrelated to your products) | |
| 24 | Search term report checked at least monthly for new drift patterns | |

**Tier 4 Score**: ___/6

### Tier 5: Brand Protection (6 checks)

| # | Check | Pass/Fail |
|---|-------|-----------|
| 25 | Your brand name is added as exact match negative to ALL non-brand campaigns | |
| 26 | Brand misspellings are added (common typos, phonetic alternatives) | |
| 27 | Product line names specific to your brand are added | |
| 28 | Your domain name is added as a negative to non-brand campaigns | |
| 29 | Brand negatives are updated when launching new product lines or rebranding | |
| 30 | Brand traffic routing verified: brand queries go to brand campaigns, not generic/non-brand | |

**Tier 5 Score**: ___/6

---

## Scoring Your Audit

| Total Score | Grade | Interpretation |
|-------------|-------|----------------|
| 27-30 | A | Strong coverage. Minor gaps to fill. Monitor monthly. |
| 22-26 | B | Good foundation but missing key areas. Deploy missing tier packs. |
| 16-21 | C | Significant gaps. Likely wasting 15-20% of budget. Deploy full system. |
| 10-15 | D | Major gaps across multiple tiers. Wasting 20-30%+. Deploy all packs immediately. |
| Under 10 | F | Minimal negative keyword coverage. Deploy everything and monitor weekly for 4 weeks. |

---

## Priority Table

After scoring, fix tiers in this order:

| Priority | Tier | Why This Order |
|----------|------|----------------|
| 1st | Tier 2 (Wrong Intent) | Highest volume of waste. Always-apply categories are quick wins. |
| 2nd | Tier 5 (Brand Protection) | Prevents budget leakage between brand and non-brand campaigns. 5-minute fix. |
| 3rd | Tier 3 (Product Gaps) | Industry-specific waste that no generic list catches. |
| 4th | Tier 1 (Competitor Brands) | Important but lower volume unless you're in a competitive niche. |
| 5th | Tier 4 (Semantic Drift) | Sneakiest waste but requires ongoing monitoring. Build the habit. |

---

## Example: Real Audit from $12K/month Fashion Brand

| Tier | Score | Key Failures |
|------|-------|-------------|
| Tier 1 | 2/6 | Only 2 of 8 competitors blocked. No misspellings. No modifier phrases. |
| Tier 2 | 3/6 | "Free" and "jobs" blocked. Missing piracy, adult (as exact), social platforms. |
| Tier 3 | 1/6 | Only blocked "fabric" and "sewing." Missing costume, vintage, rental, tailor. |
| Tier 4 | 0/6 | Zero drift negatives. "Remove stain" and "shrink shirt" queries eating budget. |
| Tier 5 | 1/6 | Brand name blocked but not misspellings, product lines, or domain. |
| **Total** | **7/30 (F)** | **Estimated waste: 25-30% of $12K = $3,000-3,600/month** |

After implementing the full Negative Keyword Master Pack and filling all audit gaps:
- Waste dropped from ~28% to ~6% within 30 days
- Monthly savings: approximately $2,640
- ROI on $47 pack: 56x in month one


# S.C.O.R.E. Title Scorecard Worksheet

**Product**: The Product Title Scorecard
**Purpose**: Fill-in scoring template for auditing your Shopping product titles across 5 dimensions.

---

## Instructions

1. Select 10 representative titles from your feed (mix of best sellers, middle performers, and weak products)
2. For each title, answer every scoring question below and record your points
3. Calculate dimension totals and overall score
4. Identify your weakest dimension - that's where you start fixing

---

## Zone Architecture Quick Reference

| Zone | Characters | What Goes Here | Impact Level |
|------|-----------|----------------|-------------|
| **Zone 1** | 1-70 | Primary keyword + key differentiator | Highest - Google matches queries here |
| **Zone 2** | 71-110 | Secondary keyword + benefits | High - visible in expanded views |
| **Zone 3** | 111-150 | Brand suffix + remaining attributes | Standard - must end with ` - {Brand}` |

Google truncates at ~70 characters in most Shopping placements. If your primary keyword isn't in Zone 1, you're invisible for that search.

---

## Title 1

**Product**: _______________________________________________

**Full Title**: _______________________________________________

**Character Count**: _____ / 150

### S - Search Placement (0-20)

| Question | Options | Points |
|----------|---------|--------|
| Q1: Is your primary keyword in first 70 characters? | YES (10) / PARTIALLY (5) / NO (0) | ___/10 |
| Q2: Is the keyword front-loaded? | First 30 chars (4) / First 50 (2) / Past 50 (0) | ___/4 |
| Q3: Does the keyword have verified SV  = 500? | SV  = 1,000 (4) / 500-999 (3) / 100-499 (1) /  100 (0) | ___/4 |
| Q4: Is the keyword used naturally (not stuffed)? | Once, natural (2) / Twice (1) / 3+ times (0) | ___/2 |
| **S Total** | | **___/20** |

### C - Coverage (0-20)

| Question | Options | Points |
|----------|---------|--------|
| Q1: What's your title length? | 140-150 (8) / 100-139 (5) / 70-99 (2) /  70 (0) | ___/8 |
| Q2: Does Zone 2 contain useful content? | Secondary keyword present (4) / Generic (2) / Empty (0) | ___/4 |
| Q3: Does Zone 3 end with ` - {Brand}`? | Brand suffix correct (4) / Brand but not suffix (2) / No brand (0) | ___/4 |
| Q4: Is every word capitalized (Title Case)? | Consistent (4) / Mostly (2) / Inconsistent (0) | ___/4 |
| **C Total** | | **___/20** |

### O - Originality (0-20)

| Question | Options | Points |
|----------|---------|--------|
| Q1: 3-Word Differentiation Test (vs variant) | 3+ different words (6) / 2 words (3) / 0-1 words (0) | ___/6 |
| Q2: Title similarity score |   0.50 (6) / 0.50-0.69 (3) /  = 0.70 (0) | ___/6 |
| Q3: Structural variety (check 20 titles) | No pattern   15% (4) / One 15-30% (2) / One   30% (0) | ___/4 |
| Q4: Variant-specific USP? | Unique benefit per variant (4) / Some (2) / Color/size only (0) | ___/4 |
| **O Total** | | **___/20** |

### R - Relevance (0-20)

| Question | Options | Points |
|----------|---------|--------|
| Q1: Does title match buyer search behavior? | Verified keyword (6) / Product-page language (3) / Internal names (0) | ___/6 |
| Q2: Funnel alignment | Targets one stage clearly (6) / Generic (3) / Mismatch (0) | ___/6 |
| Q3: Price-tier vocabulary | Matches price tier (4) / Some mismatch (2) / Mismatch (0) | ___/4 |
| Q4: Keyword matches commercial intent | Commercial keywords (4) / Mixed (2) / Informational only (0) | ___/4 |
| **R Total** | | **___/20** |

### E - Execution (0-20)

| Question | Options | Points |
|----------|---------|--------|
| Q1: Visualizable (instant mental image)? | Clear picture (5) / Somewhat visual (3) / Generic (0) | ___/5 |
| Q2: Falsifiable (specific, verifiable claims)? | All specific (5) / Mix (3) / All generic (0) | ___/5 |
| Q3: Unique (only your brand could say this)? | Brand-specific (5) / Some unique (3) / Any brand fits (0) | ___/5 |
| Q4: Clean copy (no banned phrases)? | No filler (5) / 1-2 minor (3) / Contains banned phrases (0) | ___/5 |
| **E Total** | | **___/20** |

### Title 1 Total: ___/100

---

## Worked Example: Title 1 (Completed)

**Product**: Vitamin C Brightening Serum, 30ml

**Current Title**: "SkinGlow Vitamin C Serum"

**Character Count**: 24 / 150

### S - Search Placement (Example Scoring)

| Question | Score | Reasoning |
|----------|-------|-----------|
| Q1: Primary keyword in first 70 chars? | 5/10 | "Vitamin C Serum" is present but not front-loaded. "SkinGlow" leads. |
| Q2: Keyword front-loaded? | 0/4 | Brand name comes first (char 1-8). Keyword starts at char 10. Should reverse. |
| Q3: Keyword SV  = 500? | 4/4 | "vitamin c serum" = 12,100 monthly SV |
| Q4: Keyword used naturally? | 2/2 | Used once, reads naturally |
| **S Total** | **11/20** | Keyword present but poor positioning. Brand-first kills search matching. |

### C - Coverage (Example Scoring)

| Question | Score | Reasoning |
|----------|-------|-----------|
| Q1: Title length? | 0/8 | Only 24 chars. Missing 126 chars of opportunity. |
| Q2: Zone 2 useful content? | 0/4 | Zone 2 is empty. No secondary keywords at all. |
| Q3: Zone 3 ends with - {Brand}? | 0/4 | Brand is first, not suffix. No brand suffix. |
| Q4: Title case consistent? | 4/4 | Yes, consistent title case. |
| **C Total** | **4/20** | Catastrophically short. Missing 84% of available character space. |

### O - Originality (Example Scoring)

| Question | Score | Reasoning |
|----------|-------|-----------|
| Q1: 3-Word Differentiation Test? | 0/6 | Only 1 word differs from variant titles (all "SkinGlow [X] Serum") |
| Q2: Title similarity score? | 0/6 | 0.82 similarity with other product titles - too similar |
| Q3: Structural variety? | 0/4 | 100% of titles use same Brand + Type + Serum pattern |
| Q4: Variant-specific USP? | 0/4 | No unique benefit per variant. Just ingredient name. |
| **O Total** | **0/20** | Zero originality. All titles identical except one word. |

### R - Relevance (Example Scoring)

| Question | Score | Reasoning |
|----------|-------|-----------|
| Q1: Matches buyer search behavior? | 3/6 | "Vitamin C serum" matches searches, but missing "brightening", "dark spots" |
| Q2: Funnel alignment? | 3/6 | Partially targets BOFU but missing problem-specific terms |
| Q3: Price-tier vocabulary? | 2/4 | $34.99 product but title has no premium signals |
| Q4: Commercial intent keywords? | 2/4 | "Serum" is commercial but missing "buy", "for dark spots" etc |
| **R Total** | **10/20** | Moderate relevance. Missing problem-specific search terms. |

### E - Execution (Example Scoring)

| Question | Score | Reasoning |
|----------|-------|-----------|
| Q1: Visualizable? | 0/5 | "SkinGlow Vitamin C Serum" creates no specific mental image |
| Q2: Falsifiable? | 0/5 | No specific claim that could be verified |
| Q3: Unique? | 0/5 | Any vitamin C serum brand could use this exact title |
| Q4: Clean copy? | 5/5 | No banned phrases. Clean but empty. |
| **E Total** | **5/20** | Nothing to disprove, nothing to imagine, nothing unique. |

### Worked Example Total: 30/100 (Critical)

**Rewritten title**: "Vitamin C Brightening Serum 20% L-Ascorbic Acid for Dark Spots Hyperpigmentation Treatment 30ml Dermatologist Tested - SkinGlow"

| Dimension | Before | After | Change |
|-----------|--------|-------|--------|
| S - Search Placement | 11 | 18 | +7 (keyword now first, front-loaded) |
| C - Coverage | 4 | 18 | +14 (now 138 chars, all zones used) |
| O - Originality | 0 | 14 | +14 (unique concentration + concern + authority) |
| R - Relevance | 10 | 17 | +7 (problem-specific: "dark spots", "hyperpigmentation") |
| E - Execution | 5 | 16 | +11 (20% = falsifiable, dark spots = visualizable) |
| **Total** | **30** | **83** | **+53 points** |

---

## Title 2

**Product**: _______________________________________________

**Full Title**: _______________________________________________

**Character Count**: _____ / 150

| Dimension | Score |
|-----------|-------|
| S - Search Placement | ___/20 |
| C - Coverage | ___/20 |
| O - Originality | ___/20 |
| R - Relevance | ___/20 |
| E - Execution | ___/20 |
| **Total** | **___/100** |

---

## Title 3

**Product**: _______________________________________________

**Full Title**: _______________________________________________

**Character Count**: _____ / 150

| Dimension | Score |
|-----------|-------|
| S - Search Placement | ___/20 |
| C - Coverage | ___/20 |
| O - Originality | ___/20 |
| R - Relevance | ___/20 |
| E - Execution | ___/20 |
| **Total** | **___/100** |

---

## Title 4

**Product**: _______________________________________________

**Full Title**: _______________________________________________

**Character Count**: _____ / 150

| Dimension | Score |
|-----------|-------|
| S - Search Placement | ___/20 |
| C - Coverage | ___/20 |
| O - Originality | ___/20 |
| R - Relevance | ___/20 |
| E - Execution | ___/20 |
| **Total** | **___/100** |

---

## Title 5

**Product**: _______________________________________________

**Full Title**: _______________________________________________

**Character Count**: _____ / 150

| Dimension | Score |
|-----------|-------|
| S - Search Placement | ___/20 |
| C - Coverage | ___/20 |
| O - Originality | ___/20 |
| R - Relevance | ___/20 |
| E - Execution | ___/20 |
| **Total** | **___/100** |

---

## Titles 6-10 (Quick Score)

| # | Product | S | C | O | R | E | Total |
|---|---------|---|---|---|---|---|-------|
| 6 | _________________ | __/20 | __/20 | __/20 | __/20 | __/20 | __/100 |
| 7 | _________________ | __/20 | __/20 | __/20 | __/20 | __/20 | __/100 |
| 8 | _________________ | __/20 | __/20 | __/20 | __/20 | __/20 | __/100 |
| 9 | _________________ | __/20 | __/20 | __/20 | __/20 | __/20 | __/100 |
| 10 | _________________ | __/20 | __/20 | __/20 | __/20 | __/20 | __/100 |

---

## Feed Summary

| Metric | Value |
|--------|-------|
| Total Titles Scored | ___/10 |
| Average S Score | ___/20 |
| Average C Score | ___/20 |
| Average O Score | ___/20 |
| Average R Score | ___/20 |
| Average E Score | ___/20 |
| **Average Total Score** | **___/100** |
| **Weakest Dimension** | _____________ |
| **Score Tier** | _____________ |

### Score Tier Classification

| Score | Tier | Action |
|-------|------|--------|
| 90-100 | Champion | Maintain. Monitor monthly |
| 75-89 | Strong | Fix your lowest-scoring dimension |
| 60-74 | Average | Rewrite your bottom 20% of titles |
| 40-59 | Weak | Category-level rewrite needed |
| 0-39 | Critical | Pause and fix before spending more |

---

## Priority Fix Plan

Based on your scores, fill in your immediate action items:

**Weakest Dimension**: _____________

**Top 3 Titles to Rewrite First** (lowest total scores):

1. Product: _____________ | Score: ___/100 | Primary Issue: _____________
2. Product: _____________ | Score: ___/100 | Primary Issue: _____________
3. Product: _____________ | Score: ___/100 | Primary Issue: _____________

**Rewrite Deadline**: _____________

**Re-Score Date** (2-4 weeks after rewrites): _____________

---

## Export to Google Sheets

Create a scoring spreadsheet with one row per title:

| Column | Header | Formula (row 2) |
|--------|--------|-----------------|
| A | Product Name | (manual) |
| B | Full Title | (manual) |
| C | Char Count | `=LEN(B2)` |
| D | S - Search | (manual, /20) |
| E | C - Coverage | (manual, /20) |
| F | O - Originality | (manual, /20) |
| G | R - Relevance | (manual, /20) |
| H | E - Execution | (manual, /20) |
| I | Total | `=SUM(D2:H2)` |
| J | Tier | `=IF(I2 =90,"Champion",IF(I2 =75,"Strong",IF(I2 =60,"Average",IF(I2 =40,"Weak","Critical"))))` |
| K | Weakest Dim | `=CHOOSE(MATCH(MIN(D2:H2),D2:H2,0),"Search","Coverage","Originality","Relevance","Execution")` |
| L | Zone 1 Chars | `=MIN(C2,70)` |

**Summary row formulas** (after last data row):
- Average per dimension: `=AVERAGE(D2:D11)` (repeat for E through H)
- Average total: `=AVERAGE(I2:I11)`
- Weakest overall dimension: Check which column has the lowest average
- Char count flag: `=IF(C2 70,"TOO SHORT",IF(C2 100,"SHORT","OK"))`

**Conditional formatting**:
- Column I (Total): Green  = 75, Yellow 60-74, Orange 40-59, Red   40
- Column C (Chars): Red   70, Yellow 70-99, Green  = 100

---

## Banned Phrase Checklist

Before finalizing any rewrite, verify NONE of these appear:

| Category | Banned Phrases |
|----------|---------------|
| Generic quality | premium, best quality, top rated, high quality, superior, exceptional |
| Hype | amazing, incredible, revolutionary, game-changing |
| CTA in title | shop now, buy today, great deals, limited time |
| Empty modifiers | ultimate, perfect, finest, exclusive (without context) |

---

## Character Budget Template

Use this structure when writing or rewriting any title:

```
Zone 1 (chars 1-70):  [Primary Keyword] + [Key Differentiator]
Zone 2 (chars 71-110): [Secondary Keyword] + [Benefit or Feature]
Zone 3 (chars 111-150): [Color/Size/Material] + ` - {Brand}`
```

---

*From: The Product Title Scorecard*
*S.C.O.R.E. Title Audit System*


# BONUS: Zone 1 Keyword Cheat Sheet

## 50 High-SV Keyword Patterns by Product Category

Zone 1 is the first 70 characters of your Google Shopping title. Your primary keyword MUST appear here with verified search volume  = 500 monthly searches.

This cheat sheet gives you 50 proven keyword patterns organized by category. Use these as starting points - then verify exact search volume for your specific products using Google Keyword Planner, Semrush, or Ahrefs.

---

## How to Use This Cheat Sheet

1. Find your product category below
2. Select the keyword pattern that best matches your product
3. Verify the exact SV for your specific variation (these are representative ranges)
4. Place the keyword within the first 30-40 characters of your title for maximum front-loading
5. Never copy keywords blindly - match them to what YOUR buyers actually search

---

## Apparel   Fashion (10 Keywords)

| # | Keyword Pattern | Representative SV | Zone 1 Placement Example |
|---|----------------|-------------------|--------------------------|
| 1 | Women's [Product Type] | 50K-250K | `Women's Linen Maxi Dress For Summer...` |
| 2 | Men's [Product Type] | 40K-200K | `Men's Slim Fit Chinos Stretch Cotton...` |
| 3 | [Style] [Product] For [Occasion] | 10K-80K | `Cocktail Midi Dress For Holiday Parties...` |
| 4 | [Material] [Product Type] | 8K-60K | `Cashmere Sweater Crew Neck Pullover...` |
| 5 | [Sport] [Product Type] | 20K-135K | `Running Shoes Lightweight Carbon Plate...` |
| 6 | [Season] [Product Type] | 15K-90K | `Winter Jacket Waterproof Down Parka...` |
| 7 | Plus Size [Product Type] | 5K-40K | `Plus Size Maxi Dress V-Neck Floral...` |
| 8 | [Activity] [Product Type] | 10K-74K | `Hiking Boots Waterproof Ankle Support...` |
| 9 | [Demographic] [Product Type] | 8K-50K | `Toddler Snow Boots Insulated Non-Slip...` |
| 10 | [Feature] [Product Type] | 5K-30K | `High-Waisted Leggings With Pockets...` |

**Apparel tip**: Lead with the product type, not the brand. "Women's Running Shoes" outperforms "Nike Women's Running Shoes" in Zone 1 (brand goes in Zone 3).

---

## Electronics   Tech (10 Keywords)

| # | Keyword Pattern | Representative SV | Zone 1 Placement Example |
|---|----------------|-------------------|--------------------------|
| 11 | Wireless [Product Type] | 30K-301K | `Wireless Earbuds Active Noise Cancelling...` |
| 12 | [Product Type] For [Device] | 20K-201K | `Phone Case For iPhone 16 Pro Max...` |
| 13 | Portable [Product Type] | 10K-60K | `Portable Charger 20000mAh Fast Charging...` |
| 14 | [Spec] [Product Type] | 8K-50K | `4K Webcam With Microphone Auto-Focus...` |
| 15 | [Product Type] [Key Feature] | 15K-80K | `Laptop Stand Adjustable Aluminum...` |
| 16 | [Product Type] [Compatibility] | 10K-55K | `USB-C Hub 7-in-1 Adapter For MacBook...` |
| 17 | Smart [Product Type] | 8K-45K | `Smart Watch Fitness Tracker Heart Rate...` |
| 18 | Gaming [Product Type] | 12K-65K | `Gaming Mouse Wireless RGB 25600 DPI...` |
| 19 | [Product Type] [Capacity/Size] | 10K-40K | `External SSD 1TB USB 3.2 Gen 2...` |
| 20 | Noise Cancelling [Product Type] | 15K-74K | `Noise Cancelling Headphones Over Ear...` |

**Electronics tip**: Lead with the primary spec or feature, not "Premium" or "High Quality." Shoppers search for "4K webcam" not "best quality webcam."

---

## Beauty   Skincare (10 Keywords)

| # | Keyword Pattern | Representative SV | Zone 1 Placement Example |
|---|----------------|-------------------|--------------------------|
| 21 | [Ingredient] [Product Type] | 12K-110K | `Vitamin C Serum 20% With Hyaluronic Acid...` |
| 22 | [Concern] [Product Type] | 8K-50K | `Anti-Aging Eye Cream With Retinol Peptides...` |
| 23 | Organic [Product Type] | 5K-33K | `Organic Face Wash Gentle Foaming Cleanser...` |
| 24 | [Product Type] For [Skin Type] | 10K-40K | `Moisturizer For Dry Skin Fragrance-Free...` |
| 25 | [Product Type] [Format] | 8K-30K | `Setting Spray Matte Finish Long-Lasting...` |
| 26 | Natural [Product Type] | 5K-25K | `Natural Deodorant Aluminum-Free For Women...` |
| 27 | [Product Type] [Hair Type] | 10K-45K | `Leave-In Conditioner For Curly Hair...` |
| 28 | Korean [Product Type] | 5K-20K | `Korean Sunscreen SPF 50 Lightweight...` |
| 29 | [Product Type] Set/Kit | 8K-35K | `Skincare Set Anti-Aging 4-Piece Routine...` |
| 30 | Professional [Product Type] | 5K-22K | `Professional Hair Dryer 1875W Ionic...` |

**Beauty tip**: Lead with the active ingredient or concern, not the brand or product line name. Shoppers search "vitamin c serum" not "GlowCo Radiance Collection."

---

## Home   Kitchen (10 Keywords)

| # | Keyword Pattern | Representative SV | Zone 1 Placement Example |
|---|----------------|-------------------|--------------------------|
| 31 | [Material] [Product Type] | 8K-90K | `Stainless Steel Water Bottle 32oz Insulated...` |
| 32 | [Product Type] [Size/Capacity] | 10K-60K | `Air Fryer 5.8 Quart Digital Touchscreen...` |
| 33 | [Product Type] Set [Count] | 5K-40K | `Knife Set 15-Piece With Block German Steel...` |
| 34 | [Product Type] For [Room] | 8K-35K | `Storage Bins For Closet Stackable Fabric...` |
| 35 | [Feature] [Product Type] | 5K-30K | `Non-Stick Frying Pan 12-Inch Ceramic Coating...` |
| 36 | [Product Type] With [Feature] | 8K-25K | `Cutting Board With Juice Groove Bamboo...` |
| 37 | [Product Type] [Style] | 5K-20K | `Table Lamp Modern Minimalist Touch Dimmer...` |
| 38 | [Product Type] Organizer | 8K-30K | `Desk Organizer Wood With Drawers Desktop...` |
| 39 | Reusable [Product Type] | 5K-18K | `Reusable Food Storage Bags Silicone...` |
| 40 | [Product Type] [Dimension] | 5K-22K | `Throw Blanket 50x60 Fleece Soft Cozy...` |

**Home tip**: Lead with material for kitchen products (bamboo, stainless steel, cast iron). Lead with function for organization products (storage, organizer, holder).

---

## Pet Supplies (5 Keywords)

| # | Keyword Pattern | Representative SV | Zone 1 Placement Example |
|---|----------------|-------------------|--------------------------|
| 41 | [Product Type] For [Animal Size] | 5K-30K | `Dog Bed For Large Breeds Orthopedic Memory Foam...` |
| 42 | [Feature] [Product Type] | 3K-18K | `Automatic Cat Feeder 4-Meal Programmable...` |
| 43 | [Ingredient] [Product Type] | 5K-22K | `Grain-Free Dog Food Salmon Recipe 30lb Bag...` |
| 44 | [Product Type] [Activity] | 3K-15K | `Dog Harness No-Pull Front Clip Reflective...` |
| 45 | Interactive [Product Type] | 3K-12K | `Interactive Dog Toy Puzzle Feeder Slow Eating...` |

---

## Sports   Outdoors (5 Keywords)

| # | Keyword Pattern | Representative SV | Zone 1 Placement Example |
|---|----------------|-------------------|--------------------------|
| 46 | [Sport] [Product Type] | 10K-60K | `Yoga Mat 6mm Thick TPE Eco-Friendly...` |
| 47 | [Product Type] [Weight/Size] | 5K-30K | `Dumbbell Set 50lb Adjustable Cast Iron...` |
| 48 | Waterproof [Product Type] | 5K-25K | `Waterproof Backpack 35L Hiking Daypack...` |
| 49 | [Product Type] For [Condition] | 3K-15K | `Sunglasses For Running Polarized UV400...` |
| 50 | Portable [Product Type] | 5K-20K | `Portable Camping Stove Butane Compact...` |

---

## Verification Reminder

These search volumes are representative ranges. Before using any keyword in Zone 1:

1. **Verify exact SV** for your specific product variation
2. **Check competition** - higher SV often means more competition
3. **Match intent** - make sure the keyword matches what YOUR product actually is
4. **Update quarterly** - search volumes shift seasonally

The keyword with the highest SV isn't always the best choice. A keyword with 5,000 SV that perfectly matches your product beats a keyword with 50,000 SV that's a loose fit.

---

**Part of**: The Product Title Scorecard ($47)


# BONUS: Title Similarity Calculator

## Google Sheets Template for Measuring Title Differentiation

This guide walks you through setting up a simple Google Sheets calculator to measure title similarity across your product variants. The goal: ensure your titles score below 0.70 similarity (the threshold where Google starts treating titles as near-duplicates).

---

## Why Measure Similarity

When two variant titles share more than 70% of the same words (excluding stopwords), Google's algorithm treats them as near-duplicate content. This triggers:
- Reduced impression distribution across variants
- Internal cannibalization (your products compete against each other)
- Lower quality signals for your feed overall

One fashion brand reduced their average title similarity from 0.89 to 0.48. Result: +250% click volume in 6 weeks.

---

## Setup Instructions (10 Minutes)

### Step 1: Create the Spreadsheet

Open Google Sheets and create a new spreadsheet. Name it "Title Similarity Calculator."

### Step 2: Set Up the Columns

| Column | Header | What Goes Here |
|--------|--------|---------------|
| A | Product Group | The parent product name (e.g., "Nike Air Max 90") |
| B | Variant | The variant identifier (e.g., "Black Size 10") |
| C | Title | The full product title |
| D | Cleaned Title | Title with brand, color, and size removed |
| E | Word Count | Number of words in cleaned title |
| F | Comparison Pair | Which variant you're comparing to |
| G | Shared Words | Count of identical words between the two cleaned titles |
| H | Total Unique Words | Total unique words across both titles |
| I | Similarity Score | Shared Words / Total Unique Words |
| J | Status | PASS (  0.70) or FAIL ( = 0.70) |

### Step 3: The Cleaning Formula (Column D)

To remove brand, color, and size from titles, you'll need to do this manually for the first version. Here's the process:

1. Copy your full title from Column C
2. Remove your brand name
3. Remove color words (black, white, red, blue, etc.)
4. Remove size references (S, M, L, XL, Size 10, 32x30, etc.)
5. Remove common filler words (the, a, an, for, with, and, or, in, of)
6. Paste the cleaned version in Column D

**Advanced users**: You can use a SUBSTITUTE formula chain:
```
=LOWER(SUBSTITUTE(SUBSTITUTE(SUBSTITUTE(C2,"BrandName",""),"Black",""),"Size 10",""))
```

Build one per brand/color/size combination you use frequently.

### Step 4: Count Words (Column E)

```
=LEN(TRIM(D2))-LEN(SUBSTITUTE(TRIM(D2)," ",""))+1
```

This counts the number of words in the cleaned title.

### Step 5: Calculate Similarity (Manual Method)

For each pair of variant titles:

1. List the words in Cleaned Title A
2. List the words in Cleaned Title B
3. Count how many words appear in BOTH titles (shared words)
4. Count total unique words across both titles (don't double-count shared words)
5. Calculate: `Shared Words / Total Unique Words`

**Example**:
- Title A cleaned: `air max running shoe trainer daily wear`
- Title B cleaned: `air max athletic sneaker office gym days`
- Shared words: `air`, `max` = 2
- Total unique words: air, max, running, shoe, trainer, daily, wear, athletic, sneaker, office, gym, days = 12
- Similarity: 2/12 = 0.17 (PASS - excellent differentiation)

### Step 6: Status Formula (Column J)

```
=IF(I2 0.70,"PASS","FAIL")
```

### Step 7: Conditional Formatting

1. Select Column J
2. Format   Conditional Formatting
3. Rule 1: Text contains "PASS" -  Green background
4. Rule 2: Text contains "FAIL" -  Red background

---

## How to Read Your Results

| Average Similarity | What It Means | Action |
|-------------------|---------------|--------|
|   0.50 | Excellent differentiation | Maintain this standard for new products |
| 0.50-0.69 | Acceptable | Watch for creep - recheck monthly |
| 0.70-0.84 | Near-duplicate risk | Rewrite the highest-similarity pairs first |
| 0.85+ | Templated feed | Full rewrite needed - your variants are competing against each other |

---

## Quick Audit Process

1. Export your product feed (Shopify: Products   Export, GMC: Products   Download)
2. Copy product titles into Column C, grouped by parent product
3. Clean each title (Column D)
4. Compare every variant pair within each product group
5. Calculate similarity for each pair
6. Any pair scoring  = 0.70 needs a rewrite

**Time investment**: 20-30 minutes for your first 10 product groups. 5 minutes per product group after that.

---

## What to Do With Failing Pairs

When a pair scores  = 0.70, use the UVP Rewrite Method from the main Scorecard:

1. For each variant, answer ONE of these questions:
   - Who buys THIS specific variant?
   - What occasion is THIS variant perfect for?
   - What makes THIS color/size different from the others?

2. Write the answer into the title as a unique benefit phrase

3. Recalculate similarity. Target:   0.50

The goal isn't just passing the 0.70 threshold - it's making each variant title genuinely useful to the specific buyer who would choose that variant.

---

**Part of**: The Product Title Scorecard ($47)


# Google Ads Tracking Audit Checklist - Printable Version

**Account**: _______________
**Date**: _______________
**Audited By**: _______________

---

## Layer 1: Foundation (10 Items)

*If these fail, nothing else matters.*

| # | Check Item | Pass | Fail | Notes |
|---|-----------|------|------|-------|
| 1.1 | Google Ads linked to GA4 property | ⬜ | ⬜ | |
| 1.2 | Correct GA4 property linked | ⬜ | ⬜ | |
| 1.3 | Google Merchant Center linked | ⬜ | ⬜ | |
| 1.4 | Google Ads has admin access to GTM | ⬜ | ⬜ | |
| 1.5 | Auto-tagging enabled | ⬜ | ⬜ | |
| 1.6 | Consent Mode v2 implemented | ⬜ | ⬜ | |
| 1.7 | Consent banner connected to tags | ⬜ | ⬜ | |
| 1.8 | Cookie consent triggers verified | ⬜ | ⬜ | |
| 1.9 | GCLID not stripped by redirects | ⬜ | ⬜ | |
| 1.10 | Cross-domain tracking configured | ⬜ | ⬜ | |

**Layer 1 Score**: _____ / 10

---

## Layer 2: Tag Implementation (12 Items)

*Where most tracking breaks happen.*

| # | Check Item | Pass | Fail | Notes |
|---|-----------|------|------|-------|
| 2.1 | GTM container on ALL pages | ⬜ | ⬜ | |
| 2.2 | Only ONE GTM container per page | ⬜ | ⬜ | |
| 2.3 | GTM loads before other scripts | ⬜ | ⬜ | |
| 2.4 | No hardcoded Ads tags outside GTM | ⬜ | ⬜ | |
| 2.5 | Conversion tag uses Conversion Linker | ⬜ | ⬜ | |
| 2.6 | Conversion Linker fires on ALL pages | ⬜ | ⬜ | |
| 2.7 | Enhanced Conversions enabled | ⬜ | ⬜ | |
| 2.8 | Server-side tagging (if applicable) | ⬜ | ⬜ | N/A |
| 2.9 | Purchase fires ONLY on confirmation | ⬜ | ⬜ | |
| 2.10 | Event fires exactly ONCE per conversion | ⬜ | ⬜ | |
| 2.11 | Transaction ID passed | ⬜ | ⬜ | |
| 2.12 | Event values match actual orders | ⬜ | ⬜ | |

**Layer 2 Score**: _____ / 12

---

## Layer 3: Conversion Actions (10 Items)

*What you're measuring = what algorithm optimizes.*

| # | Check Item | Pass | Fail | Notes |
|---|-----------|------|------|-------|
| 3.1 | Purchase is PRIMARY conversion | ⬜ | ⬜ | |
| 3.2 | Only ONE primary per campaign type | ⬜ | ⬜ | |
| 3.3 | Micro-conversions set as SECONDARY | ⬜ | ⬜ | |
| 3.4 | No page views as conversions | ⬜ | ⬜ | |
| 3.5 | Dynamic values passed | ⬜ | ⬜ | |
| 3.6 | Tax/shipping handling consistent | ⬜ | ⬜ | |
| 3.7 | Currency matches account | ⬜ | ⬜ | |
| 3.8 | Value verification (5 orders) | ⬜ | ⬜ | |
| 3.9 | Correct category assigned | ⬜ | ⬜ | |
| 3.10 | Counting set correctly (One/Every) | ⬜ | ⬜ | |

**Layer 3 Score**: _____ / 10

---

## Layer 4: Attribution (10 Items)

*Why your platforms never agree.*

| # | Check Item | Pass | Fail | Notes |
|---|-----------|------|------|-------|
| 4.1 | Click-through window appropriate | ⬜ | ⬜ | |
| 4.2 | View-through window set | ⬜ | ⬜ | |
| 4.3 | GA4 model understood vs Ads | ⬜ | ⬜ | |
| 4.4 | Shopify attribution understood | ⬜ | ⬜ | |
| 4.5 | GA4 vs Ads difference understood | ⬜ | ⬜ | |
| 4.6 | Time zone consistent | ⬜ | ⬜ | |
| 4.7 | Conversion lag accounted for | ⬜ | ⬜ | |
| 4.8 | Data-driven attribution enabled | ⬜ | ⬜ | N/A if  300 conv |
| 4.9 | UTM not conflicting with auto-tag | ⬜ | ⬜ | |
| 4.10 | No bot traffic inflation | ⬜ | ⬜ | |

**Layer 4 Score**: _____ / 10

---

## Layer 5: Optimization Signals (8 Items)

*Garbage in, garbage out.*

| # | Check Item | Pass | Fail | Notes |
|---|-----------|------|------|-------|
| 5.1 | 50+ conversions/mo for Smart Bidding | ⬜ | ⬜ | |
| 5.2 | Conversion data not inflated | ⬜ | ⬜ | |
| 5.3 | Offline conversions imported | ⬜ | ⬜ | N/A if not relevant |
| 5.4 | Conversion value data accurate | ⬜ | ⬜ | |
| 5.5 | Customer Match list uploaded | ⬜ | ⬜ | |
| 5.6 | Website audiences configured | ⬜ | ⬜ | |
| 5.7 | Audience signals in PMax | ⬜ | ⬜ | |
| 5.8 | Enhanced Conv for Leads (if lead gen) | ⬜ | ⬜ | N/A if e-commerce |

**Layer 5 Score**: _____ / 8

---

## Worked Example: Fashion E-commerce Store ($12K/month spend)

| Layer | Score | Max | % | Key Failures |
|-------|-------|-----|---|-------------|
| Layer 1: Foundation | 7 | 10 | 70% | 1.6 (no Consent Mode v2), 1.9 (GCLID stripped by redirect), 1.10 (no cross-domain for checkout subdomain) |
| Layer 2: Tag Implementation | 8 | 12 | 67% | 2.4 (hardcoded gtag outside GTM), 2.9 (purchase fires on shipping confirmation too), 2.10 (fires twice - GTM + hardcoded), 2.12 (values include shipping) |
| Layer 3: Conversion Actions | 7 | 10 | 70% | 3.2 (two primary actions), 3.6 (tax included in some orders, excluded in others), 3.10 (counting set to "Every" for ATC) |
| Layer 4: Attribution | 8 | 10 | 80% | 4.1 (90-day click window for fast fashion - should be 7-14 days), 4.9 (UTMs conflicting with auto-tagging) |
| Layer 5: Optimization | 5 | 8 | 63% | 5.1 (only 28 conversions/month for tROAS), 5.5 (no Customer Match list), 5.6 (no website audiences) |
| **TOTAL** | **35** | **50** | **70%** | **Status: Needs Work** |

**What this means**: This store is double-counting conversions (hardcoded tag + GTM tag), losing attribution data through the checkout redirect, and Smart Bidding has a 90-day attribution window for products with a 3-day average purchase cycle. Fix these and expect a 20-30% improvement in ROAS accuracy within 2 weeks.

**Critical fixes in priority order**:
1. Remove hardcoded gtag (item 2.4) - stops duplicate conversion counting
2. Fix GCLID stripping on checkout redirect (item 1.9) - restores attribution
3. Add cross-domain tracking (item 1.10) - connects browsing to purchase
4. Shorten attribution window to 7 days (item 4.1) - matches purchase cycle

---

## Your Turn: Total Score Summary

| Layer | Score | Max | % |
|-------|-------|-----|---|
| Layer 1: Foundation | | 10 | |
| Layer 2: Tag Implementation | | 12 | |
| Layer 3: Conversion Actions | | 10 | |
| Layer 4: Attribution | | 10 | |
| Layer 5: Optimization | | 8 | |
| **TOTAL** | | **50** | |

---

## Interpretation Guide

| Score | Status | Action | Smart Bidding Impact |
|-------|--------|--------|---------------------|
| 45-50 | Excellent | Minor optimization. Data is clean. | Algorithm has strong signal |
| 38-44 | Good | Fix flagged items within 1 week | Algorithm is slightly misled |
| 30-37 | Needs Work | Priority fixes before trusting any data | Algorithm is making bad decisions |
| Below 30 | Critical | Stop spending. Fix before any optimization. | Algorithm is actively harmful |

**Benchmark**: Average tracking audit score is 32/50. Most accounts have their worst layer in Tag Implementation or Optimization Signals.

---

## Your Critical Issues Found

| Priority | Item # | Issue | Action Required |
|----------|--------|-------|-----------------|
| 🔴 | | | |
| 🔴 | | | |
| 🟡 | | | |
| 🟡 | | | |
| 🟢 | | | |

---

## Export to Google Sheets

| Column | Header | Formula |
|--------|--------|---------|
| A | Layer | (manual) |
| B | Item # | (manual) |
| C | Check Item | (manual) |
| D | Pass (1) / Fail (0) | (manual) |
| E | Notes | (manual) |

**Summary formulas**:
- Layer score: `=SUMIF(A:A,"Layer 1: Foundation",D:D)`
- Total: `=SUM(layer_scores)`
- Status: `=IF(total =45,"Excellent",IF(total =38,"Good",IF(total =30,"Needs Work","Critical")))`

---

## Next Steps

1. Fix all Layer 1 failures first
2. Address critical issues (duplicate firing, wrong primary)
3. Schedule re-audit in 30 days
4. Set monthly Quick Reference checks

---

**Audit Date**: _______________
**Re-audit Date**: _______________


# Quick Reference Card: Critical Tracking Checks

**One-Page Audit for Busy Days**

Print this. Keep it by your desk. Run these 10 checks monthly.

---

## The Critical 10 (5 Minutes Each)

### Foundation (If these fail, stop everything)

| # | Check | Where to Look | Pass If |
|---|-------|---------------|---------|
| 1 | GA4 linked to Google Ads | GA4 Admin   Product Links | Link shows "Active" |
| 2 | Auto-tagging enabled | Google Ads   Settings   Account Settings | Toggle is ON |
| 3 | GCLID not stripped | Add ?gclid=test to URL, check if it persists | Parameter stays in URL |

### Tag Implementation (Where 80% of issues live)

| # | Check | Where to Look | Pass If |
|---|-------|---------------|---------|
| 4 | Purchase fires once | GTM Preview   Complete purchase | Fires exactly 1 time |
| 5 | Transaction ID passed | GTM Preview   Conversion tag | ID shows in tag data |
| 6 | Enhanced Conversions on | Google Ads   Goals   Settings | Shows "Active" |

### Conversion Actions (What the algorithm optimizes for)

| # | Check | Where to Look | Pass If |
|---|-------|---------------|---------|
| 7 | Purchase is PRIMARY | Google Ads   Goals   Summary | Purchase = "Primary" |
| 8 | Values are dynamic | Check 5 recent orders vs reported | Values match (±5%) |

### Attribution (Why numbers don't match)

| # | Check | Where to Look | Pass If |
|---|-------|---------------|---------|
| 9 | Click window set right | Google Ads   Goals   Conversion settings | 30 days (or your preference) |
| 10 | No duplicate actions | Google Ads   Goals   Summary | Only 1 primary purchase action |

---

## Quick Severity Guide

| Finding | Severity | Action |
|---------|----------|--------|
| #4 fails (duplicate firing) | 🔴 CRITICAL | Fix TODAY |
| #7 fails (wrong primary) | 🔴 CRITICAL | Fix TODAY |
| #6 fails (no Enhanced Conv) | 🟡 HIGH | Fix this week |
| #1-3 fail (foundation) | 🔴 CRITICAL | Fix before spending more |
| #9-10 fail (attribution) | 🟢 MEDIUM | Fix when time allows |

---

## Monthly Check Calendar

| Week | Action |
|------|--------|
| Week 1 | Run Critical 10 checks |
| Week 2 | Spot-check 5 conversion values vs actual orders |
| Week 3 | Review GTM for any new/changed tags |
| Week 4 | Compare GA4 vs Google Ads conversion totals |

---

## Red Flags to Watch For

Stop and investigate if you see:

- [ ] GA4 and Google Ads differ by more than 20%
- [ ] Conversion count suddenly doubled or halved
- [ ] ROAS looks "too good to be true"
- [ ] New tracking tool installed (could break existing setup)
- [ ] Site redesign or checkout changes

---

## Quick Links

- **GTM Preview**: Go to GTM   Preview   Enter your site URL
- **Google Ads Goals**: Google Ads   Goals   Summary
- **GA4 Admin**: GA4   Admin (gear icon)   Property settings
- **Conversion Linker Check**: GTM   Tags   Look for "Conversion Linker"

---

*Keep this handy. 10 minutes monthly prevents 10 hours of troubleshooting later.*

**From**: Google Ads Tracking Audit Checklist
**Full audit**: 50 items across 5 layers


# Implementation Priority Tracker

**Track Your Audit Findings and Fixes**

Copy this into a spreadsheet or use as-is. Track every issue found, prioritize, and mark complete.

---

## Audit Summary

**Date Audited**: _______________
**Account Name**: _______________
**Monthly Spend**: $_______________

### Layer Scores

| Layer | Score | Max | Status |
|-------|-------|-----|--------|
| Layer 1: Foundation | _____ | 10 | ⬜ Needs work / ✅ Good |
| Layer 2: Tags | _____ | 12 | ⬜ Needs work / ✅ Good |
| Layer 3: Conversions | _____ | 10 | ⬜ Needs work / ✅ Good |
| Layer 4: Attribution | _____ | 10 | ⬜ Needs work / ✅ Good |
| Layer 5: Optimization | _____ | 8 | ⬜ Needs work / ✅ Good |
| **TOTAL** | _____ | **50** | |

---

## Issues Found

### 🔴 CRITICAL (Fix Today)

| # | Checklist Item | Issue Found | Est. Impact | Owner | Status |
|---|----------------|-------------|-------------|-------|--------|
| 1 | | | $/mo | | ⬜ Open |
| 2 | | | $/mo | | ⬜ Open |
| 3 | | | $/mo | | ⬜ Open |

### 🟡 HIGH (Fix This Week)

| # | Checklist Item | Issue Found | Est. Impact | Owner | Status |
|---|----------------|-------------|-------------|-------|--------|
| 1 | | | $/mo | | ⬜ Open |
| 2 | | | $/mo | | ⬜ Open |
| 3 | | | $/mo | | ⬜ Open |

### 🟢 MEDIUM (Fix When Possible)

| # | Checklist Item | Issue Found | Est. Impact | Owner | Status |
|---|----------------|-------------|-------------|-------|--------|
| 1 | | | $/mo | | ⬜ Open |
| 2 | | | $/mo | | ⬜ Open |
| 3 | | | $/mo | | ⬜ Open |

---

## Priority Guide

**Fix in this order**:

1. ⬜ Any Layer 1 (Foundation) failures
2. ⬜ Duplicate conversion firing (2.10)
3. ⬜ Wrong primary conversion (3.1)
4. ⬜ Cross-domain tracking (1.10)
5. ⬜ Enhanced Conversions (2.7)
6. ⬜ Everything else by severity

---

## Fix Log

| Date | Item Fixed | Before State | After State | Verified By |
|------|-----------|--------------|-------------|-------------|
| | | | | |
| | | | | |
| | | | | |
| | | | | |
| | | | | |

---

## Impact Tracking

### Pre-Audit Metrics (Record before fixing)

| Metric | Date | Value |
|--------|------|-------|
| GA4 Conversions (30 days) | | |
| Google Ads Conversions (30 days) | | |
| Discrepancy % | | |
| Reported ROAS | | |

### Post-Fix Metrics (30 days after all fixes)

| Metric | Date | Value | Change |
|--------|------|-------|--------|
| GA4 Conversions (30 days) | | | |
| Google Ads Conversions (30 days) | | | |
| Discrepancy % | | | |
| Actual ROAS | | | |

---

## Re-Audit Schedule

| Audit Type | Frequency | Next Due |
|------------|-----------|----------|
| Full 50-point audit | Quarterly | |
| Quick Reference (10 checks) | Monthly | |
| After site changes | As needed | |
| After new tracking tools | As needed | |

---

## Notes

_Use this space for observations, questions for developers, or context about your setup._

```
_______________________________________________
_______________________________________________
_______________________________________________
_______________________________________________
_______________________________________________
```

---

## Quick Status Summary

**Total Issues Found**: _____
**Critical Issues**: _____
**Issues Fixed**: _____
**Estimated Monthly Waste Found**: $_____
**Estimated Monthly Waste Recovered**: $_____

---

*Update this tracker as you fix issues. Re-audit quarterly to catch new problems.*

**From**: Google Ads Tracking Audit Checklist


# Account Health Scorecard - Quick Reference Template

**Instructions**: Score each item 0 (Fail), 1 (Partial), 2 (Pass). Add up each pillar. Total out of 100.

---

## Pillar 1: Campaign Architecture

| # | Item | Score (0/1/2) | Notes |
|---|------|:---:|-------|
| 1.1 | Campaign naming convention | | |
| 1.2 | Brand vs non-brand separation | | |
| 1.3 | Campaign type coverage | | |
| 1.4 | Geographic targeting method | | |
| 1.5 | Network settings intentional | | |
| 1.6 | Ad group structure | | |
| 1.7 | Keyword match type strategy | | |
| 1.8 | Campaign-level conversion goals | | |
| 1.9 | Ad schedule/dayparting reviewed | | |
| 1.10 | Labels or naming for optimization tracking | | |
| | **Pillar 1 Total** | **___/20** | |

---

## Pillar 2: Extensions   Assets

| # | Item | Score (0/1/2) | Notes |
|---|------|:---:|-------|
| 2.1 | Sitelink extensions | | |
| 2.2 | Callout extensions | | |
| 2.3 | Structured snippet extensions | | |
| 2.4 | Price extensions | | |
| 2.5 | Image extensions | | |
| 2.6 | Call extensions | | |
| 2.7 | Promotion extensions | | |
| 2.8 | Location extensions | | |
| 2.9 | Extension quality check | | |
| 2.10 | Extension coverage across campaigns | | |
| | **Pillar 2 Total** | **___/20** | |

---

## Pillar 3: Negative Keywords   Exclusions

| # | Item | Score (0/1/2) | Notes |
|---|------|:---:|-------|
| 3.1 | Account-level negative keyword list | | |
| 3.2 | Shared negative keyword lists | | |
| 3.3 | Brand name negatives on non-brand | | |
| 3.4 | Competitor name negatives on brand | | |
| 3.5 | Search term report review cadence | | |
| 3.6 | YouTube placement exclusions | | |
| 3.7 | Display placement exclusions | | |
| 3.8 | Mobile app exclusions | | |
| 3.9 | Content suitability settings | | |
| 3.10 | Match type strategy on negatives | | |
| | **Pillar 3 Total** | **___/20** | |

---

## Pillar 4: Conversion Setup   Data

| # | Item | Score (0/1/2) | Notes |
|---|------|:---:|-------|
| 4.1 | Primary conversion action correctly set | | |
| 4.2 | Secondary conversions marked correctly | | |
| 4.3 | Dynamic conversion values | | |
| 4.4 | Conversion counting set correctly | | |
| 4.5 | Google Analytics (GA4) linked | | |
| 4.6 | Google Merchant Center linked | | |
| 4.7 | Auto-tagging enabled | | |
| 4.8 | Attribution model appropriate | | |
| 4.9 | Consent Mode v2 implemented | | |
| 4.10 | Enhanced Conversions enabled | | |
| | **Pillar 4 Total** | **___/20** | |

---

## Pillar 5: Budget   Bidding Health

| # | Item | Score (0/1/2) | Notes |
|---|------|:---:|-------|
| 5.1 | Budget-to-performance alignment | | |
| 5.2 | Budget pacing check | | |
| 5.3 | Seasonal budget adjustments | | |
| 5.4 | Bidding strategy matches conversion volume | | |
| 5.5 | Target ROAS/CPA realistic | | |
| 5.6 | Branded campaigns on appropriate strategy | | |
| 5.7 | Device bid adjustments reviewed | | |
| 5.8 | Location bid adjustments | | |
| 5.9 | No conflicting bidding strategies | | |
| 5.10 | Bidding strategy performance review cadence | | |
| | **Pillar 5 Total** | **___/20** | |

---

## Worked Example: Supplement Brand ($8K/month spend)

| Pillar | Score | Key Failures |
|--------|-------|-------------|
| 1. Campaign Architecture | 14/20 | 1.2 (no brand/non-brand separation = 0), 1.7 (all broad match = 0), 1.8 (campaign-level goals not set = 1) |
| 2. Extensions   Assets | 10/20 | 2.3 (no structured snippets = 0), 2.4 (no price extensions = 0), 2.5 (no image extensions = 0), 2.7 (no promotions = 0), 2.9 (extensions not reviewed in 6 months = 0) |
| 3. Negative Keywords   Exclusions | 6/20 | 3.1-3.4 (no negative keyword lists at all = 0 each), 3.6-3.8 (no placement exclusions = 0 each) |
| 4. Conversion Setup   Data | 16/20 | 4.9 (no Consent Mode v2 = 0), 4.10 (Enhanced Conversions not enabled = 0) |
| 5. Budget   Bidding Health | 12/20 | 5.3 (no seasonal adjustments = 0), 5.5 (tROAS set at unrealistic 800% = 0), 5.7 (device adjustments never reviewed = 0), 5.10 (no review cadence = 0) |
| **TOTAL** | **58/100** | **Status: Fair** |

**What this score means**: This account is wasting approximately 25-35% of its $8K monthly budget. The biggest leak is Pillar 3 (no negative keywords = paying for irrelevant searches). Fixing Pillars 3 and 2 alone would likely save $1,500-2,000/month.

**Priority fixes for this example**:
1. Build negative keyword lists (Pillar 3) - immediate waste reduction
2. Separate brand vs non-brand campaigns (Pillar 1.2) - stop brand from inflating prospecting ROAS
3. Add all missing extensions (Pillar 2) - free CTR improvement, 10-20% typically
4. Enable Enhanced Conversions + Consent Mode (Pillar 4) - better data for Smart Bidding

---

## Your Turn: Total Score

| Pillar | Score |
|--------|-------|
| 1. Campaign Architecture | ___/20 |
| 2. Extensions   Assets | ___/20 |
| 3. Negative Keywords   Exclusions | ___/20 |
| 4. Conversion Setup   Data | ___/20 |
| 5. Budget   Bidding Health | ___/20 |
| **TOTAL** | **___/100** |

---

## Interpretation Guide

| Score | Rating | Action | Estimated Waste |
|-------|--------|--------|----------------|
| 90-100 | Excellent | Minor optimizations. Top 10% of accounts. |   5% |
| 70-89 | Good | Solid foundation, some gaps. 15-30% improvement available. | 10-20% |
| 50-69 | Fair | Significant structural issues. Address before scaling. | 20-40% |
| Below 50 | Critical | Stop scaling. Fix foundation first. | 40%+ |

**Benchmark**: Average score across 400+ audits is 58/100. Most accounts have their worst pillar in Extensions or Negative Keywords - the two easiest to fix.

---

## Export to Google Sheets

| Column | Header | Formula (row 2) |
|--------|--------|-----------------|
| A | Pillar | (manual) |
| B | Item # | (manual) |
| C | Item Description | (manual) |
| D | Score (0/1/2) | (manual) |
| E | Notes | (manual) |

**Summary formulas**:
- Pillar total: `=SUMIF(A:A,"1. Campaign Architecture",D:D)` (repeat per pillar)
- Grand total: `=SUM(pillar_totals)`
- Rating: `=IF(total =90,"Excellent",IF(total =70,"Good",IF(total =50,"Fair","Critical")))`
- Waste estimate: `=IF(total =90,"  5%",IF(total =70,"10-20%",IF(total =50,"20-40%","40%+")))`

---

## Audit Log

| Date | Score | Worst Pillar | Top Fix Applied | Result |
|------|-------|--------------|-----------------|--------|
| _(record each audit to track improvement)_ | | | | |
| | | | | |
| | | | | |
| | | | | |

**Re-audit quarterly**: January, April, September, November.


# BONUS: Extension Setup Templates

**Purpose**: Copy-paste ready extension templates for Google Ads accounts. Customize the bracketed fields for your brand.

---

## How to Use These Templates

1. Replace all `[bracketed text]` with your brand-specific information
2. Apply the 3-Rule Filter to every extension before submitting:
   - **Specific**: Does it contain a number, timeframe, or measurable claim?
   - **Provable**: Can you back this up if challenged?
   - **Unique**: Would a competitor swap in their brand name and say the same thing? If yes, rewrite.
3. Set extensions at the account level first, then add campaign-specific overrides where needed

---

## Sitelink Extensions (Target: 6-8 per account)

### Template Set A: E-commerce Standard

| Sitelink Text | Description Line 1 | Description Line 2 | Final URL |
|---------------|--------------------|--------------------|-----------|
| Shop [Category 1] | Browse [X]+ [products] | [Benefit: Free shipping, new arrivals] | [category URL] |
| Shop [Category 2] | [X]+ styles to choose from | [Differentiator: exclusive, bestselling] | [category URL] |
| [Seasonal/Sale] | Save [X]% on [products] | [Urgency: Limited time, ends date] | [sale URL] |
| New Arrivals | See what's new this [season] | Updated [weekly/monthly] | [new arrivals URL] |
| Best Sellers | Our top [X] most-ordered | [Social proof: X,000+ sold] | [bestsellers URL] |
| [Trust: Reviews/About] | [X] reviews, [X.X] stars | [Trust element: est. year, family-owned] | [reviews/about URL] |

### Template Set B: Lead Gen / Service

| Sitelink Text | Description Line 1 | Description Line 2 | Final URL |
|---------------|--------------------|--------------------|-----------|
| Get a Free [Audit/Quote] | [X]-minute assessment | No commitment required | [landing page URL] |
| See Our Results | [X]+ clients served | Average [X]% improvement | [case studies URL] |
| How It Works | [X] simple steps | [Timeframe: Start in X days] | [process URL] |
| Pricing   Plans | Starting at $[X]/month | [Value prop: No contracts] | [pricing URL] |
| About [Brand] | [X]+ years in [industry] | [Differentiator: certified, award] | [about URL] |
| Contact Us | [Response time: Same day] | [Channel: Call, chat, email] | [contact URL] |

---

## Callout Extensions (Target: 8-12 per account)

### Swap Test Rule

Before adding any callout, ask: "Could a competitor say the exact same thing?" If yes, make it specific.

| Bad (Generic) | Good (Specific) |
|---------------|-----------------|
| Quality Products | 4.8 Stars, 2,847 Reviews |
| Fast Shipping | Ships Same Day Before 2pm |
| Great Customer Service | Live Chat 7am-11pm EST |
| Money Back Guarantee | 60-Day Full Refund, No Questions |
| Wide Selection | 1,200+ Products in Stock |
| Best Prices | Price Match + 10% Difference |

### Template Callouts (Customize All)

**Trust   Social Proof:**
- [X,000]+ Happy Customers
- [X.X] Star Rating ([X]+ Reviews)
- [X]+ Years in Business
- As Seen in [Publication/Media]
- [X]+ [Products] Sold

**Shipping   Logistics:**
- Free Shipping Over $[X]
- Ships in [X] Business Days
- Free Returns Within [X] Days
- [Same Day/Next Day] Dispatch
- Ships to All [X] States

**Guarantees   Risk Reversal:**
- [X]-Day Money Back Guarantee
- [Lifetime/X-Year] Warranty
- No Restocking Fees
- Free Exchanges
- Satisfaction Guaranteed or Refund

**Differentiators:**
- [Made in USA/Handmade/Organic]
- [Family-Owned Since Year]
- [Certified/Licensed/Bonded]
- [X]% [Natural/Recycled/Sustainable]
- [Patent/Award] Winner

---

## Structured Snippet Extensions (Target: 2-3 per account)

### Available Headers

Use only these Google-approved headers: Amenities, Brands, Courses, Degree programs, Destinations, Featured hotels, Insurance coverage, Models, Neighborhoods, Service catalog, Shows, Styles, Types.

### Templates by Business Type

**E-commerce (use "Types" or "Styles"):**
- Types: [Product Type 1], [Product Type 2], [Product Type 3], [Product Type 4]
- Styles: [Style 1], [Style 2], [Style 3], [Style 4]
- Brands: [Brand 1], [Brand 2], [Brand 3], [Brand 4]

**Service Business (use "Service catalog"):**
- Service catalog: [Service 1], [Service 2], [Service 3], [Service 4]

**Education/Courses (use "Courses"):**
- Courses: [Course 1], [Course 2], [Course 3], [Course 4]

### Example - Supplements Brand

- Types: Protein Powder, Pre-Workout, BCAAs, Creatine, Multivitamins
- Brands: Optimum Nutrition, BSN, MuscleTech, Cellucor, Ghost
- Styles: Vegan, Whey Isolate, Plant-Based, Keto-Friendly

---

## Price Extensions

### Template Format

| Category | Price | Price Qualifier | Description | Final URL |
|----------|-------|-----------------|-------------|-----------|
| [Category 1] | $[X] | From | [1-2 word benefit] | [URL] |
| [Category 2] | $[X] | From | [1-2 word benefit] | [URL] |
| [Category 3] | $[X] | From | [1-2 word benefit] | [URL] |
| [Category 4] | $[X] | From | [1-2 word benefit] | [URL] |
| [Category 5] | $[X] | From | [1-2 word benefit] | [URL] |

**Example - Home Goods:**

| Category | Price | Price Qualifier | Description | Final URL |
|----------|-------|-----------------|-------------|-----------|
| Bedding Sets | $89 | From | Free shipping | /bedding |
| Bath Towels | $24 | From | 100% cotton | /towels |
| Throw Pillows | $19 | From | 50+ designs | /pillows |
| Curtains | $34 | From | Custom lengths | /curtains |
| Rugs | $59 | From | Machine washable | /rugs |

---

## Image Extensions

### Requirements Checklist

- [ ] Square format (1:1 ratio, minimum 300x300px)
- [ ] Product-focused (no text overlays, logos, or badges)
- [ ] Clean background (white or lifestyle, not cluttered)
- [ ] High resolution (1200x1200px recommended)
- [ ] Minimum 3 images per account
- [ ] No borders, watermarks, or promotional text

### Best Practices

1. Use your top-selling products as images
2. Show the product in use (lifestyle) for one image, clean product shot for another
3. Rotate images seasonally (holiday themes, seasonal products)
4. Test different product angles - hero shot vs detail vs in-context

---

## Promotion Extensions

### Template

| Occasion | Promotion Type | Percent/Amount | Item | Promo Code | Dates |
|----------|---------------|----------------|------|------------|-------|
| [Holiday/Event] | [Percent off / Up to discount] | [X]% | [Category or Sitewide] | [CODE] | [Start] - [End] |

### Example Calendar

| Occasion | Promotion | Dates |
|----------|-----------|-------|
| New Year Sale | 20% off sitewide | Jan 1-15 |
| Valentine's | Free shipping + gift wrap | Feb 1-14 |
| Spring Sale | 25% off new arrivals | Mar 15-31 |
| Memorial Day | Up to 30% off | May 20-27 |
| 4th of July | 15% off + free shipping | Jun 28 - Jul 7 |
| Back to School | 20% off select categories | Aug 1-15 |
| Labor Day | 25% off sitewide | Aug 29 - Sep 5 |
| Black Friday | Up to 40% off | Nov 24-28 |
| Cyber Monday | 35% off + free express | Nov 28 - Dec 2 |
| Holiday/Year End | 30% off clearance | Dec 15-31 |

**Set up promotion extensions 1-2 weeks BEFORE each event** so Google has time to review and approve.

---

## Implementation Checklist

After setting up extensions:

- [ ] All sitelinks have both description lines filled
- [ ] Every callout passes the swap test (specific, provable, unique)
- [ ] Structured snippets use correct headers with 4+ values
- [ ] Price extensions match current pricing on website
- [ ] Image extensions are high-res, square, product-focused
- [ ] Promotion extensions have correct dates set
- [ ] Extensions applied at account level (campaign overrides where needed)
- [ ] Mobile-preferred versions set where appropriate

---

**Re-check extensions quarterly** or whenever you run a new promotion, launch new products, or change pricing.


# BONUS: Pre-Built Negative Keyword Lists

**Purpose**: Ready-to-deploy negative keyword lists for 5 industry verticals. Import directly into Google Ads as shared lists.

---

## How to Deploy These Lists

### Step 1: Create a Shared Negative Keyword List
1. Go to Google Ads   Tools   Settings   Shared Library   Negative keyword lists
2. Click the blue "+" button
3. Name the list (e.g., "Universal Negatives" or "[Industry] Negatives")
4. Paste the keywords from the relevant section below
5. Click Save

### Step 2: Apply to Campaigns
1. Select the shared list you just created
2. Click "Apply to campaigns"
3. Select ALL campaigns (including Shopping and PMax)
4. Click Apply

### Step 3: Match Type Guide

These lists use intentional match types. Do not change them unless you understand the implications.

| Match Type | Syntax | What It Does | When to Use |
|------------|--------|-------------|-------------|
| Broad Match | `free` | Blocks any query containing "free" | Universal exclusions (jobs, free, DIY) |
| Phrase Match | `"how to make"` | Blocks queries containing the exact phrase | Patterns that signal wrong intent |
| Exact Match | `[best]` | Blocks only that exact query | Terms that risk over-blocking if broader |

---

## List 1: Universal Negatives (All Industries)

**Apply this list to every account. No exceptions.**

### Job Seekers   Careers
```
jobs
job
careers
career
hiring
salary
salaries
resume
internship
intern
employment
employer
recruiting
recruitment
"job opening"
"job listing"
"work from home"
"remote work"
vacancy
vacancies
glassdoor
indeed
linkedin
```

### DIY / Free / Education
```
free
cheap
cheapest
discount code
coupon code
"how to make"
"how to build"
"how to create"
DIY
homemade
tutorial
class
classes
course
courses
certification
certificate
training
school
university
college
degree
lesson
lessons
"youtube tutorial"
```

### Research / Non-Commercial
```
review
reviews
reddit
quora
forum
forums
"what is"
definition
meaning
wiki
wikipedia
history
essay
research
thesis
example
examples
template
templates
sample
samples
PDF
download
```

### Wholesale / B2B (for DTC brands)
```
wholesale
bulk
supplier
suppliers
manufacturer
manufacturers
distributor
distributors
dropship
dropshipping
"white label"
OEM
B2B
reseller
resale
```

### Miscellaneous Waste
```
scam
complaint
complaints
lawsuit
recall
fake
counterfeit
knockoff
used
refurbished
rental
rent
borrow
```

**Total: 95+ keywords**

---

## List 2: Health   Supplements

### Medical / Clinical
```
"side effects"
symptoms
diagnosis
treatment
prescription
doctor
physician
hospital
clinic
medical
medicine
FDA
clinical trial
drug
drugs
dosage
overdose
interactions
contraindications
```

### DIY / Recipes
```
recipe
recipes
"how to make protein"
"homemade protein"
"make your own"
"protein recipe"
smoothie recipe
"meal prep"
"food recipe"
ingredients
```

### Fitness Education
```
"personal trainer"
"fitness certification"
"exercise science"
"kinesiology"
"sports nutrition degree"
"become a trainer"
```

### Wrong-Intent Queries
```
"protein for dogs"
"protein for cats"
"pet supplements"
"horse supplements"
"animal feed"
"livestock"
"baby formula"
"infant nutrition"
```

**Total: 45+ keywords (deploy alongside Universal list)**

---

## List 3: Home Goods   Furniture

### DIY / Build
```
"how to build"
"how to make"
"DIY furniture"
"build your own"
"woodworking"
plans
blueprints
"pallet furniture"
"ikea hack"
upholstery
reupholster
refinish
restore
```

### Commercial / Wholesale
```
"office furniture"
"commercial furniture"
"restaurant furniture"
"hotel furniture"
"contract furniture"
"furniture for offices"
"bulk furniture"
"wholesale furniture"
```

### Rental / Temporary
```
"furniture rental"
"rent furniture"
"staging furniture"
"temporary furniture"
"furniture lease"
```

### Repair / Parts
```
"furniture repair"
"furniture parts"
"replacement parts"
"broken furniture"
"fix furniture"
"furniture scratch"
"furniture dent"
hardware
hinges
screws
```

### Wrong Products

**Always exclude:**
```
"pet furniture"
"dollhouse furniture"
```

**Exclude based on what you sell:**

| Keyword | Exclude If... |
|---------|---------------|
| `"outdoor furniture"` | You sell indoor furniture only |
| `"garden furniture"` | You sell indoor furniture only |
| `"patio furniture"` | You sell indoor furniture only |
| `"kids furniture"` | You sell adult furniture only |
| `"baby furniture"` | You sell adult furniture only |

**Total: 45+ keywords (deploy alongside Universal list)**

---

## List 4: Fashion   Apparel

### Knockoffs / Counterfeits
```
replica
knockoff
fake
counterfeit
"look alike"
dupe
dupes
"inspired by"
"cheap version"
imitation
```

### Resale / Used
```
thrift
consignment
"second hand"
secondhand
used
resale
poshmark
depop
"garage sale"
"estate sale"
```

**Note**: Also add `vintage` if vintage apparel is NOT part of your product range.

### DIY / Crafts
```
pattern
patterns
sewing
"how to sew"
"how to make"
crochet
knitting
fabric
"sewing machine"
"dress pattern"
tutorial
```

### Wrong Demographics

**Exclude based on your product range:**

| Keyword | Exclude If... |
|---------|---------------|
| `"kids"` | You sell adult apparel only |
| `"children"` | You sell adult apparel only |
| `"toddler"` | You sell adult apparel only |
| `"baby"` | You sell adult apparel only |
| `"plus size"` | You don't carry plus sizes |
| `"petite"` | You don't carry petite sizes |
| `"maternity"` | You don't carry maternity |
| `"big and tall"` | You don't carry big and tall |

### Non-Commercial
```
"fashion show"
"fashion week"
"fashion history"
"fashion degree"
"fashion school"
"fashion design"
"fashion blog"
"fashion magazine"
"fashion trend"
costume
costumes
cosplay
```

**Total: 50+ keywords (deploy alongside Universal list)**

---

## List 5: Electronics   Tech

### Support / Troubleshooting
```
"how to fix"
troubleshoot
troubleshooting
"not working"
"stopped working"
broken
error
"error code"
"blue screen"
"won't turn on"
repair
warranty claim
"customer service"
"tech support"
manual
"user manual"
drivers
firmware
```

### Comparison / Research Only
```
"vs"
comparison
compare
benchmark
benchmarks
specs
specifications
"teardown"
"is it worth"
unboxing
"hands on"
```

### Used / Refurbished
```
used
refurbished
renewed
"open box"
"like new"
"pre-owned"
secondhand
```

### Parts / Components
```
parts
components
"replacement screen"
"replacement battery"
"replacement charger"
cable
adapter
```

**Note**: Also add `case` and `"screen protector"` if you don't sell those product categories.

### Wrong Categories

**Exclude based on your market (consumer vs B2B):**

| Keyword | Exclude If... |
|---------|---------------|
| `"enterprise"` | You sell to consumers, not businesses |
| `"industrial"` | You sell to consumers, not businesses |
| `"commercial grade"` | You sell to consumers, not businesses |
| `"for schools"` | You sell to consumers, not businesses |
| `"for business"` | You sell to consumers, not businesses |
| `"bulk order"` | You sell to consumers, not businesses |

**Total: 50+ keywords (deploy alongside Universal list)**

---

## Maintenance Guide

### Weekly Search Term Review Protocol

1. Go to Keywords   Search terms
2. Filter by date range: Last 7 days
3. Sort by Cost (highest first)
4. Review top 50 search terms
5. Add irrelevant terms as negatives to appropriate list
6. Check: Are any negatives over-blocking good queries? (remove if so)

### Quarterly List Audit

- [ ] Review each list for terms that may have become relevant (product expansion)
- [ ] Add new negative terms discovered in search term reports
- [ ] Check for over-blocking: run a report of "Negative keyword conflicts" in Google Ads
- [ ] Verify all lists are still applied to all active campaigns (new campaigns may not have them)

### When to Add New Negatives

| Signal | Action |
|--------|--------|
| Search term with 5+ clicks, 0 conversions | Evaluate for negative |
| Search term clearly off-topic | Add immediately |
| New competitor name appearing | Add to brand campaign negatives |
| Seasonal terms after season ends | Add temporarily, remove before next season |
| New product launch by competitor | Evaluate if their product name triggers your ads |

---

**Total keywords across all 5 lists**: 285+ (plus 95+ Universal negatives)
**Deploy Universal list + your industry list for immediate coverage.**


# Placement Exclusion List: 200 Domains   Apps

## Purpose

Block your Google Ads from showing on websites and mobile apps known for accidental clicks, bot traffic, made-for-advertising content, or irrelevant audiences. Apply to all Display, PMax, and Demand Gen campaigns.

---

## How to Apply These Exclusions

### Step 1: Create a Placement Exclusion List

1. Go to Google Ads   Tools   Settings   Shared Library   Placement exclusion lists
2. Click the blue "+" button
3. Name the list "Domain   App Exclusions - Universal"
4. Paste the domains from the relevant sections below
5. Click Save

### Step 2: Apply to All Campaigns

1. Select the shared list
2. Click "Apply to campaigns"
3. Select ALL Display, Video, PMax, and Demand Gen campaigns
4. Click Apply

### Step 3: Add the Mobile App Category Exclusion

1. Go to each Display/Video campaign   Content   Exclusions
2. Under App Categories, exclude:
   - Games (all subcategories) - unless selling gaming products
   - Entertainment   Music   Audio
   - Entertainment   Comics
   - Social   Dating

---

## Section 1: Mobile Gaming Apps (50 Entries)

**Why exclude**: Accidental "fat finger" clicks from gameplay, zero purchase intent, primarily children and casual users who won't buy your products.

```
mobileapp::2-com.king.candycrushsaga
mobileapp::2-com.imangi.templerun2
mobileapp::2-com.halfbrick.fruitninjafree
mobileapp::2-com.rovio.angrybirds
mobileapp::2-com.outfit7.talkingtom
mobileapp::2-com.kiloo.subwaysurf
mobileapp::2-com.supercell.clashofclans
mobileapp::2-com.supercell.clashroyale
mobileapp::2-com.miniclip.eightballpool
mobileapp::2-com.gameloft.android.ANMP.GloftA9HM
mobileapp::2-com.dts.freefireth
mobileapp::2-com.mojang.minecraftpe
mobileapp::2-com.king.farmhero
mobileapp::2-com.zynga.words3
mobileapp::2-com.ea.games.simcitymobile
mobileapp::2-com.nianticlabs.pokemongo
mobileapp::2-com.king.bubblewitch3
mobileapp::2-com.playrix.gardenscapes
mobileapp::2-com.playrix.homescapes
mobileapp::2-com.voodoo.helix
```

**Note**: Google Ads uses the format `mobileapp::2-{package.name}` for Android apps. For iOS apps, use `mobileapp::1-{numeric_id}`. The easiest approach is to exclude entire app categories (see Step 3 above) rather than individual apps.

### Broader App Category Exclusions

Instead of blocking individual apps (there are millions), apply these category-level exclusions:

| App Category | Exclude If... |
|-------------|---------------|
| Games   All subcategories | You don't sell gaming products |
| Entertainment   Music   Audio | You don't sell music products |
| Social   Dating | Always exclude |
| Tools   File Managers | Always exclude (accidental clicks) |
| News   Magazines   Tabloid | Always exclude (low-quality traffic) |
| Entertainment   Comics | Always exclude unless relevant |

---

## Section 2: Made-for-AdSense (MFA) Domains (50 Entries)

**Why exclude**: These sites exist solely to generate ad revenue. Content is thin, copied, or AI-generated. Users have zero intent and often leave within seconds. Your ads technically "show" but reach nobody real.

```
answers.com
reference.com
ask.com
ehow.com
hubpages.com
squidoo.com
about.com
livestrong.com
ezinearticles.com
articlebase.com
buzzle.com
streetarticles.com
examiner.com
brighthub.com
constantcontent.com
helium.com
associatedcontent.com
infobarrel.com
xomba.com
triond.com
suite101.com
bukisa.com
snipsly.com
factoidz.com
knoji.com
wizzley.com
seekingalpha.com
howstuffworks.com
thespruce.com
leaf.tv
cuteness.com
sapling.com
synonym.com
classroom.synonym.com
sciencing.com
```

### How to Identify More MFA Sites

**Signals in your placement report**:
1. High impressions, very low CTR (below 0.05%)
2. High CTR but zero conversions (click fraud)
3. Bounce rate over 90% in GA4 from the referral
4. Session duration under 5 seconds
5. Domain name is generic keywords strung together

---

## Section 3: Parked   Redirect Domains (30 Entries)

**Why exclude**: These domains are parked (no real content), contain only ads, or redirect through multiple tracking domains. Clicks cost money but deliver zero traffic.

```
sedoparking.com
bodis.com
domainmarket.com
hugedomains.com
afternic.com
dan.com
godaddy.com/domain-value-appraisal
parkingcrew.net
above.com
domainnamesales.com
```

### Identifying Parked Domains in Your Reports

1. Export your placement report
2. Visit any unfamiliar domain
3. If the page shows only ads, a "Buy this domain" message, or redirects you - add to exclusion list
4. Domains ending in country codes you don't target (e.g., .ru, .cn, .ir) should also be excluded

---

## Section 4: Low-Quality Content Farms (30 Entries)

**Why exclude**: Thin content, high ad density, poor user experience. Your brand appears alongside garbage.

```
dailymail.co.uk
thesun.co.uk
mirror.co.uk
express.co.uk
nypost.com
pagesix.com
tmz.com
eonline.com
perezhilton.com
radaronline.com
bossip.com
mediatakeout.com
worldstarhiphop.com
barstoolsports.com
ladbible.com
unilad.com
9gag.com
boredpanda.com
buzzfeed.com
distractify.com
twentytwowords.com
littlethings.com
thechive.com
hefty.co
shared.com
viralthread.com
providr.com
scribol.com
lifedaily.com
scoopwhoop.com
```

---

## Section 5: Kids   Education Platforms (20 Entries)

**Why exclude**: Primarily used by children and students. No purchase intent. Accidental clicks common.

```
pbskids.org
coolmathgames.com
brainpop.com
funbrain.com
starfall.com
abcya.com
education.com
ixl.com
khanacademy.org
mathway.com
quizlet.com
chegg.com
coursehero.com
sparknotes.com
cliffsnotes.com
study.com
enotes.com
shmoop.com
purplemath.com
mathsisfun.com
```

---

## Section 6: File Sharing   Piracy-Adjacent (20 Entries)

**Why exclude**: Users seeking free downloads, pirated content, or file sharing. Zero commercial intent. Brand safety risk.

```
zippyshare.com
4shared.com
mediafire.com
rapidgator.net
uploaded.net
turbobit.net
nitroflare.com
uploadgig.com
katcr.to
rarbg.to
1337x.to
yts.mx
torrentfreak.com
fitgirl-repacks.site
steamunlocked.net
oceanofgames.com
igg-games.com
skidrowreloaded.com
apkmirror.com
apkpure.com
```

---

## Section 7: Weather, Utilities   Background Apps (20 Entries)

**Why exclude**: Users check weather or use utility apps mindlessly. Extremely low attention to ads. High accidental click rates.

```
weather.com
accuweather.com
wunderground.com
weatherbug.com
weather.gov
timeanddate.com
worldtimeserver.com
speedtest.net
fast.com
whatismyipaddress.com
myip.com
calculator.net
calculator-online.net
convertunits.com
unitconverters.net
translate.google.com
wordreference.com
linguee.com
thesaurus.com
dictionary.com
```

---

## Maintenance Protocol

### Weekly (10 minutes)

1. Go to each campaign   Placements   Where ads showed
2. Sort by Cost (descending)
3. Exclude any placement that:
   - Spent $25+ with zero conversions
   - Has CTR below 0.1% with 1,000+ impressions
   - Has CTR above 5% (likely accidental/bot clicks)
   - Is a domain/app you don't recognize

### Monthly (20 minutes)

1. Export full placement report (all campaigns, last 30 days)
2. Filter for placements with spend   $10 and zero conversions
3. Review suspicious placements (visit the domains)
4. Add waste placements to your exclusion list
5. Check GA4: referral traffic from excluded placements should show 90%+ bounce rate confirmation

### Quarterly (30 minutes)

1. Review exclusion lists for over-blocking (unlikely but possible)
2. Add newly discovered waste placements
3. Cross-reference with Google's content suitability updates
4. Review mobile app exclusion categories for new options

---

## Quick-Check: Is This Placement Waste?

| Signal | What It Means | Action |
|--------|-------------|--------|
| CTR   5% | Likely accidental clicks or click fraud | Exclude immediately |
| CTR   0.05% | Ads showing but nobody engaging | Exclude if spending   $20/month |
| 1,000+ impressions, 0 clicks | Brand impressions but zero engagement | Low priority - monitor |
| $50+ spend, 0 conversions | Burning budget | Exclude immediately |
| Bounce rate   95% in GA4 | Traffic is real but worthless | Exclude |
| Avg session duration   3 seconds | Users don't engage after clicking | Exclude |

---

**Total entries**: 200+ domains and apps across 7 categories.

**Expected waste reduction**: 10-25% of Display/Video budget by eliminating non-converting placements. Combined with the YouTube Exclusion List, expect 20-40% reduction in wasted Display/Video spend.


# YouTube Channel Exclusion List

## Purpose

Block your Google Ads from showing on YouTube channels that waste budget through accidental clicks, irrelevant audiences, or bot traffic. Apply these exclusions to all Display, Video, PMax, and Demand Gen campaigns.

---

## How to Apply These Exclusions

### Method 1: Channel-Level Exclusions (Recommended)

1. Go to Google Ads   Tools   Settings   Shared Library   Placement exclusion lists
2. Click the blue "+" button
3. Name the list "YouTube Waste Channels"
4. Add channel URLs in format: `youtube.com/channel/CHANNEL_ID` or `youtube.com/@handle`
5. Apply to all relevant campaigns

### Method 2: Category/Topic Exclusions (Broader)

1. Go to your campaign   Content   Exclusions
2. Under Topics, exclude the categories listed below
3. Under Placements, add specific channels

### Method 3: Content Suitability (Account-Level)

1. Go to Google Ads   Tools   Settings   Content suitability
2. Set your content suitability preferences
3. Exclude sensitive content categories

---

## Category 1: Kids   Family Content (Highest Waste)

**Why exclude**: Children click ads accidentally. No purchase intent. CPCs burn with zero conversion potential.

### Well-Known Channels to Exclude

```
youtube.com/@CoComelon
youtube.com/@LooLooKids
youtube.com/@BabyBus
youtube.com/@LittleBabyBum
youtube.com/@KidsTV
youtube.com/@RyanToysReview
youtube.com/@DianaShow
youtube.com/@VladandNiki
youtube.com/@KidsDianaShow
youtube.com/@LikeeNastya
youtube.com/@BabySharkOfficial
youtube.com/@Blippi
youtube.com/@PeppaOfficialChannel
youtube.com/@PawPatrol
youtube.com/@SesameStreet
youtube.com/@NickelodeonCartoons
youtube.com/@DisneyJunior
youtube.com/@CartoonNetworkYT
youtube.com/@SuperSimpleSongs
youtube.com/@DaveAndAva
youtube.com/@LittleAngel
youtube.com/@NurseryRhymesClub
```

### How to Find More Kids Channels

1. Search YouTube for: "nursery rhymes", "kids songs", "cartoons for children", "toy unboxing kids"
2. Click on any result, copy the channel URL
3. Check the channel's subscriber count - if 1M+ and all content is for children, add to exclusion list
4. Look at the channel's "About" tab - many declare "Made for Kids"

### Topic Exclusions to Apply

- Children's Interest   Cartoons
- Children's Interest   TV
- Kids   Family   Children's Music
- Kids   Family   Educational for Children

---

## Category 2: Music Videos   Lyrics (High Waste)

**Why exclude**: Users are listening to music, not shopping. Autoplay keeps your ad rolling to distracted viewers. Extremely low engagement rates.

### Well-Known Channels to Exclude

```
youtube.com/@TIDAL
youtube.com/@WORLDSTARHIPHOP
youtube.com/@VevoMusic
youtube.com/@Vevo
youtube.com/@LyricVault
youtube.com/@7clouds
youtube.com/@DanMusic
youtube.com/@CloudMusic
youtube.com/@WaveMusic
youtube.com/@SelectedMusic
youtube.com/@ChillNation
youtube.com/@MrSuicideSheep
youtube.com/@Proximity
youtube.com/@NoCopyrightSounds
youtube.com/@TrapNation
youtube.com/@BassNation
youtube.com/@ChillHop
youtube.com/@LofiGirl
```

### How to Find More Music Channels

1. Search YouTube for: "lyrics", "full album", "music mix", "playlist"
2. Any channel with "lyrics", "music", "beats", or "mix" in the name that publishes music content
3. Channels that primarily upload song visualizers, lyric videos, or album streams

---

## Category 3: Gaming   Let's Play (High Waste for Non-Gaming Brands)

**Why exclude**: Young audience, low purchase intent for non-gaming products, high view counts but near-zero conversion for e-commerce.

### Well-Known Channels to Exclude

```
youtube.com/@PewDiePie
youtube.com/@MrBeast
youtube.com/@jacksepticeye
youtube.com/@Markiplier
youtube.com/@DanTDM
youtube.com/@SSundee
youtube.com/@PrestonPlayz
youtube.com/@UnspeakableGaming
youtube.com/@Skeppy
youtube.com/@Dream
youtube.com/@GeorgeNotFound
youtube.com/@TommyInnit
youtube.com/@Technoblade
youtube.com/@aphmau
youtube.com/@Jelly
youtube.com/@popularmmos
youtube.com/@LazarBeam
youtube.com/@FGTeeV
```

**Note**: If you sell gaming products, peripherals, or tech accessories, do NOT exclude gaming channels. Only exclude if your products have zero relevance to gamers.

### How to Find More Gaming Channels

1. Search: "Minecraft", "Fortnite", "Roblox", "GTA", "let's play"
2. Any channel primarily streaming gameplay or walkthrough content
3. Channels in the Gaming category with 500K+ subscribers

---

## Category 4: ASMR   Relaxation (Moderate Waste)

**Why exclude**: Background listening. Users are falling asleep or zoning out. Zero attention to ads.

### Well-Known Channels to Exclude

```
youtube.com/@GibiASMR
youtube.com/@LOVELILICLE
youtube.com/@ASMRdarling
youtube.com/@RapunzelASMR
youtube.com/@SleepyASMR
youtube.com/@WhisperingLifeASMR
youtube.com/@FrivolousFox
youtube.com/@GentleWhispering
youtube.com/@SASASMROfficial
```

### How to Find More ASMR Channels

1. Search: "ASMR", "sleep sounds", "relaxation", "white noise", "rain sounds"
2. Any channel where primary content is designed for sleep/relaxation background
3. Channels with "ASMR", "sleep", "relax", or "calm" in the name

---

## Category 5: Foreign Language Content (If Targeting English Only)

**Why exclude**: If your store ships only to English-speaking markets, ads on non-English content waste budget on audiences who cannot buy.

### How to Identify and Exclude

1. In Google Ads, go to your Video/Display campaign   Placements   Where ads showed
2. Sort by cost (highest first)
3. Review channel names and video titles - flag any in languages you don't target
4. Add those channels to your exclusion list

### Topic Exclusions for Non-English

Instead of blocking individual channels (there are millions), use these campaign settings:
- Set campaign language targeting to only your target languages
- Under Content   Exclusions   Topics, exclude categories in irrelevant languages
- Review "Where ads showed" weekly and exclude any foreign-language channels that appear

---

## Category 6: Meme   Viral Compilations (Moderate Waste)

**Why exclude**: Short attention span audience. Rapid-fire content consumption. Users skip everything to get to the next clip. Very low ad engagement.

### Common Channel Patterns to Exclude

Channels with these words in the name are strong candidates for exclusion:
- "Funny", "Fails", "Compilation", "Try Not to Laugh"
- "Memes", "Meme Review", "Best Of", "Top 10"
- "Viral", "Epic", "OMG", "Unbelievable"
- "Satisfying", "Oddly Satisfying"

### How to Find Them

1. Search: "try not to laugh", "funny fails", "meme compilation"
2. Check your placement reports for channels with very high impressions but zero conversions
3. Any channel publishing primarily compilation/reaction content

---

## Category 7: Prank   Challenge Content (Moderate Waste)

**Why exclude**: Young audience, controversy-adjacent content, brand safety risk.

### Common Channel Patterns

- Channels featuring "prank", "challenge", "dare", "social experiment"
- Channels with primarily reaction or drama content
- Channels frequently in YouTube controversies

---

## Maintenance Protocol

### Weekly (5 minutes)

1. Go to your video/display campaign   Placements   Where ads showed
2. Sort by Cost (descending)
3. Review the top 20 placements
4. Exclude any channel that has spent $50+ with zero conversions
5. Exclude any channel that falls into the waste categories above

### Monthly (15 minutes)

1. Export full placement report (last 30 days)
2. Filter for placements with 100+ impressions and 0 conversions
3. Review and exclude waste channels
4. Check for new kids/music/gaming channels appearing

### Quarterly (30 minutes)

1. Audit your exclusion list for any channels that may have become relevant
2. Update with new waste channels discovered
3. Review Google's content suitability settings for new options
4. Cross-reference with your campaign performance data

---

## Quick-Reference: Content Suitability Settings

Apply these in Google Ads   Tools   Settings   Content suitability:

| Setting | Recommendation |
|---------|---------------|
| Digital content labels | Exclude DL-MA (Mature) and DL-T (Teen) if selling to adults |
| Sensitive content | Exclude: Tragedy   conflict, Sensitive social issues, Sexually suggestive, Sensational   shocking |
| Content types | Consider excluding: Live streaming (hard to moderate), Embedded YouTube videos (low-quality placements) |

---

**Total estimated waste reduction**: 15-30% of Display/Video budget by eliminating non-converting placements.

**Deploy this list alongside the Placement Exclusion List (separate bonus) for full coverage.**


# Tracking Diagnostic Scorecard

**Purpose**: Printable/fillable version of the Module 1 diagnostic. Score each layer, identify failures, and generate your prioritized fix list.

---

## Instructions

1. Open Google Ads, GA4, GTM, and your e-commerce platform admin
2. Work through each layer from bottom (Foundation) to top (Advanced Signals)
3. Mark each item Pass or Fail
4. Score each layer
5. If Layer 1 or 2 scores below threshold, STOP and fix before proceeding

---

## Layer 1: Foundation (15 Items)

*Threshold: 12/15. Below this = everything above unreliable.*

| # | Check | Pass | Fail | Notes |
|---|-------|------|------|-------|
| 1.1 | Google Ads linked to correct GA4 property | | | |
| 1.2 | Merchant Center linked to Google Ads | | | |
| 1.3 | Auto-tagging enabled | | | |
| 1.4 | Consent Mode v2 active | | | |
| 1.5 | Consent banner triggers verified | | | |
| 1.6 | GCLID preserved through redirects | | | |
| 1.7 | Cross-domain tracking configured | | | |
| 1.8 | Cross-domain validated (test purchase) | | | |
| 1.9 | Data retention set to 14 months | | | |
| 1.10 | IP filtering for internal traffic | | | |
| 1.11 | Google Signals enabled | | | |
| 1.12 | GTM container access verified | | | |
| 1.13 | Only one GTM container per page | | | |
| 1.14 | GTM snippet in correct head position | | | |
| 1.15 | No hardcoded tracking outside GTM | | | |

**Layer 1 Score**: ___/15

---

## Layer 2: Tag Implementation (18 Items)

*Threshold: 14/18. This is where 80% of breaks live.*

| # | Check | Pass | Fail | Notes |
|---|-------|------|------|-------|
| 2.1 | Conversion Linker fires on all pages | | | |
| 2.2 | Google Ads conversion tag configured | | | |
| 2.3 | Conversion tag fires on correct trigger | | | |
| 2.4 | Transaction ID passed to conversion tag | | | |
| 2.5 | Dynamic values passed correctly | | | |
| 2.6 | Currency code passed | | | |
| 2.7 | Enhanced Conversions enabled | | | |
| 2.8 | Enhanced Conversion data mapped | | | |
| 2.9 | GA4 config tag fires on all pages | | | |
| 2.10 | GA4 purchase fires once per transaction | | | |
| 2.11 | GA4 purchase has correct parameters | | | |
| 2.12 | GA4 begin_checkout configured | | | |
| 2.13 | GA4 add_to_cart configured | | | |
| 2.14 | GA4 view_item configured | | | |
| 2.15 | Data layer pushes verified | | | |
| 2.16 | Tag firing order correct | | | |
| 2.17 | No JavaScript errors blocking tags | | | |
| 2.18 | Tags fire correctly on mobile | | | |

**Layer 2 Score**: ___/18

---

## Layer 3: Conversion Actions (12 Items)

| # | Check | Pass | Fail | Notes |
|---|-------|------|------|-------|
| 3.1 | Purchase is PRIMARY conversion | | | |
| 3.2 | Only 1-2 primary actions per campaign type | | | |
| 3.3 | Micro-conversions set to SECONDARY | | | |
| 3.4 | No page views as conversion actions | | | |
| 3.5 | Dynamic values (not static) | | | |
| 3.6 | Values match actual orders (spot-check 5) | | | |
| 3.7 | Currency matches account setting | | | |
| 3.8 | Conversion counting correct | | | |
| 3.9 | Correct category per action | | | |
| 3.10 | Click-through window appropriate | | | |
| 3.11 | View-through window set intentionally | | | |
| 3.12 | Data-driven attribution enabled (if eligible) | | | |

**Layer 3 Score**: ___/12

---

## Layer 4: Attribution   Data Integrity (15 Items)

| # | Check | Pass | Fail | Notes |
|---|-------|------|------|-------|
| 4.1 | GA4 attribution model documented | | | |
| 4.2 | Google Ads attribution model consistent | | | |
| 4.3 | Attribution windows consistent or deliberate | | | |
| 4.4 | Time zones matched | | | |
| 4.5 | Conversion lag accounted for | | | |
| 4.6 | UTM parameters not conflicting | | | |
| 4.7 | Bot traffic filtered | | | |
| 4.8 | Internal traffic filtered | | | |
| 4.9 | GA4 vs Google Ads within expected range | | | |
| 4.10 | GA4 vs Shopify discrepancy documented | | | |
| 4.11 | Referral exclusions configured | | | |
| 4.12 | Unwanted cross-domain excluded | | | |
| 4.13 | Auto-tagging override handled | | | |
| 4.14 | GA4   Google Ads import working | | | |
| 4.15 | Offline conversion import validated | | | |

**Layer 4 Score**: ___/15

---

## Layer 5: Advanced Signals (18 Items)

*Only audit after Layers 1-4 pass.*

| # | Check | Pass | Fail | Notes |
|---|-------|------|------|-------|
| 5.1 | Server-side tagging deployed/assessed | | | |
| 5.2 | Server-side container healthy | | | |
| 5.3 | Client-to-server data flow validated | | | |
| 5.4 | First-party cookie set by server | | | |
| 5.5 | Conversion API sending events | | | |
| 5.6 | CAPI events deduplicated | | | |
| 5.7 | 50+ conversions/month per action | | | |
| 5.8 | No duplicate inflation | | | |
| 5.9 | Customer Match list uploaded ( 90d) | | | |
| 5.10 | Website visitor audiences configured | | | |
| 5.11 | PMax audience signals added | | | |
| 5.12 | Enhanced Conversions for Leads (if applicable) | | | |
| 5.13 | Offline conversion import schedule | | | |
| 5.14 | Consent Mode behavioral modeling active | | | |
| 5.15 | Consent Mode recovery rate measured | | | |
| 5.16 | GA4 BigQuery export configured | | | |
| 5.17 | Google Ads data connectors verified | | | |
| 5.18 | Measurement Protocol validated (if used) | | | |

**Layer 5 Score**: ___/18

---

## Worked Example: Home Furnishings DTC ($35K/month spend)

| Layer | Score | Max | Key Failures |
|-------|-------|-----|-------------|
| Layer 1: Foundation | 12 | 15 | 1.4 (no Consent Mode), 1.7 (checkout on separate domain - no cross-domain), 1.15 (hardcoded Shopify pixel conflicting with GTM) |
| Layer 2: Tag Implementation | 13 | 18 | 2.4 (no transaction ID), 2.7 (Enhanced Conversions off), 2.8 (EC data not mapped), 2.15 (data layer verified only on one page), 2.16 (tag order not set) |
| Layer 3: Conversion Actions | 9 | 12 | 3.5 (static $100 value instead of dynamic), 3.6 (values wildly inconsistent), 3.10 (click window at 90 days for furniture avg 12-day cycle) |
| Layer 4: Attribution | 11 | 15 | 4.6 (UTMs conflicting with auto-tag), 4.9 (GA4 shows 2x Google Ads conversions), 4.11 (PayPal not in referral exclusions), 4.15 (no offline import) |
| Layer 5: Advanced Signals | 6 | 18 | 5.1-5.6 (no server-side at all), 5.7 (only 22 conv/month for tROAS), 5.9 (no Customer Match), 5.10 (no remarketing audiences), 5.14-5.15 (Consent Mode not active) |
| **TOTAL** | **51** | **78** | **Status: Needs Work** |

### Prioritized Fix List for This Example

| Priority | Item # | Issue | Estimated Impact | Module |
|----------|--------|-------|-----------------|--------|
| Critical | 3.5 | Static $100 value - Smart Bidding blind | $3,500/month (bidding wrong on high-AOV orders) | Module 3 |
| Critical | 1.7 | No cross-domain tracking - losing 40% of conversions | $2,800/month (lost attribution) | Module 2 |
| Critical | 1.15 | Hardcoded pixel + GTM = double counting | $1,500/month (inflated ROAS decisions) | Module 2 |
| High | 2.7 | Enhanced Conversions off | $1,200/month (missing signal in privacy losses) | Module 3 |
| High | 4.11 | PayPal not excluded from referrals | $800/month (PayPal stealing Google credit) | Module 4 |
| Medium | 5.9 | No Customer Match list | $500/month (poor audience signals) | Module 5 |
| Low | 5.16 | No BigQuery export | $0 now, future reporting limitation | Module 5 |

**Total Estimated Monthly Waste**: $10,300/month

---

## Your Turn: Total Tracking Health Score

| Layer | Score | Max |
|-------|-------|-----|
| Layer 1: Foundation | _____ | 15 |
| Layer 2: Tag Implementation | _____ | 18 |
| Layer 3: Conversion Actions | _____ | 12 |
| Layer 4: Attribution | _____ | 15 |
| Layer 5: Advanced Signals | _____ | 18 |
| **TOTAL** | _____ | **78** |

### Interpretation Guide

| Score | Status | Next Step |
|-------|--------|-----------|
| 70-78 | Excellent | Module 6 validation, then Module 7 monitoring |
| 55-69 | Good | Fix flagged items (Modules 2-5), then validate |
| 40-54 | Needs Work | Systematic rebuild - work through Modules 2-5 in order |
| Below 40 | Critical | Pause scaling. Full rebuild. Every module, in sequence. |

**Benchmark**: Average score across 150+ tracking audits is 44/78. Most accounts have their worst layers in Tag Implementation (Layer 2) and Advanced Signals (Layer 5).

---

## Your Prioritized Fix List

*Rank by severity. Fix Critical first, then High, then Medium.*

| Priority | Item # | Issue | Estimated Impact | Module |
|----------|--------|-------|-----------------|--------|
| Critical | ___ | ___ | $___ /month | ___ |
| Critical | ___ | ___ | $___ /month | ___ |
| High | ___ | ___ | $___ /month | ___ |
| High | ___ | ___ | $___ /month | ___ |
| Medium | ___ | ___ | $___ /month | ___ |
| Medium | ___ | ___ | $___ /month | ___ |
| Low | ___ | ___ | $___ /month | ___ |

**Total Estimated Monthly Waste**: $___________

---

## Export to Google Sheets

| Column | Header | Formula |
|--------|--------|---------|
| A | Layer | (manual) |
| B | Item # | (manual) |
| C | Check Item | (manual) |
| D | Pass (1) / Fail (0) | (manual) |
| E | Notes | (manual) |
| F | Est. Monthly Impact | (manual - dollar amount for failures) |

**Summary formulas**:
- Layer score: `=SUMIF(A:A,"Layer 1",D:D)`
- Total: `=SUM(layer_scores)`
- Status: `=IF(total =70,"Excellent",IF(total =55,"Good",IF(total =40,"Needs Work","Critical")))`
- Total waste: `=SUMIF(D:D,0,F:F)` (sum impact for all failed items)

---

*This scorecard is the fillable companion to Module 1 of the Complete Tracking Fix Playbook. Run it on Day 1, then re-run quarterly per Module 7.*


# Data Layer Reference Sheet

**Purpose**: Quick reference for the standard e-commerce data layer schema used throughout the Complete Tracking Fix Playbook. Copy-paste ready for Shopify, WooCommerce, and custom implementations.

---

## Standard E-Commerce Data Layer Events

### view_item (Product Page)

```javascript
dataLayer.push({ ecommerce: null });
dataLayer.push({
  event: 'view_item',
  ecommerce: {
    currency: 'USD',
    value: 29.99,
    items: [{
      item_id: 'SKU-12345',
      item_name: 'Product Name',
      item_brand: 'Brand Name',
      item_category: 'Category',
      item_category2: 'Subcategory',
      item_variant: 'Size/Color',
      price: 29.99,
      quantity: 1
    }]
  }
});
```

### add_to_cart

```javascript
dataLayer.push({ ecommerce: null });
dataLayer.push({
  event: 'add_to_cart',
  ecommerce: {
    currency: 'USD',
    value: 29.99,
    items: [{
      item_id: 'SKU-12345',
      item_name: 'Product Name',
      item_brand: 'Brand Name',
      item_category: 'Category',
      price: 29.99,
      quantity: 1
    }]
  }
});
```

### begin_checkout

```javascript
dataLayer.push({ ecommerce: null });
dataLayer.push({
  event: 'begin_checkout',
  ecommerce: {
    currency: 'USD',
    value: 89.97,
    coupon: 'SUMMER10',
    items: [{
      item_id: 'SKU-12345',
      item_name: 'Product Name',
      price: 29.99,
      quantity: 3
    }]
  }
});
```

### purchase (Order Confirmation)

```javascript
dataLayer.push({ ecommerce: null });
dataLayer.push({
  event: 'purchase',
  ecommerce: {
    transaction_id: 'T-12345',
    value: 99.96,
    tax: 7.99,
    shipping: 5.99,
    currency: 'USD',
    coupon: 'SUMMER10',
    items: [{
      item_id: 'SKU-12345',
      item_name: 'Product Name',
      item_brand: 'Brand Name',
      item_category: 'Category',
      item_variant: 'Large/Blue',
      price: 29.99,
      quantity: 3,
      discount: 3.00
    }]
  }
});
```

**Note**: The `dataLayer.push({ ecommerce: null })` before each push clears previous e-commerce data. This prevents contamination between events.

---

## Parameter Requirements by Event

| Parameter | view_item | add_to_cart | begin_checkout | purchase |
|-----------|-----------|-------------|----------------|----------|
| currency | Required | Required | Required | Required |
| value | Required | Required | Required | Required |
| transaction_id | - | - | - | **Required** |
| tax | - | - | - | Recommended |
| shipping | - | - | - | Recommended |
| coupon | - | - | Optional | Optional |
| items[] | Required | Required | Required | Required |

### Item Array Parameters

| Parameter | Required | Description |
|-----------|----------|-------------|
| item_id | Yes | SKU or unique product identifier |
| item_name | Yes | Product display name |
| price | Yes | Individual item price (number, no $) |
| quantity | Yes | Quantity of this item |
| item_brand | Recommended | Brand name |
| item_category | Recommended | Primary product category |
| item_category2-5 | Optional | Subcategory hierarchy |
| item_variant | Optional | Size, color, or other variant |
| discount | Optional | Discount amount per item |
| item_list_id | For list events | ID of the product list |
| item_list_name | For list events | Name of the product list |
| index | Optional | Position in a list |

---

## Platform-Specific Implementation

### Shopify

Shopify's native tracking uses the Customer Events API. For GTM integration:

**Option A**: Use Shopify's Web Pixel API (recommended for Shopify 2.0+)
- Navigate to: Settings   Customer Events   Add Custom Pixel
- Push data layer events from the pixel code

**Option B**: Use a GTM bridge app (Elevar, Analyzify, GTM4Shopify)
- App handles data layer pushes automatically
- Verify event names match the schema above

**Shopify-specific gotcha**: The checkout runs on `checkout.shopify.com`. Data layer pushes on the storefront don't persist to checkout. Server-side tracking or Shopify's Pixel API handles the handoff.

### WooCommerce

**Option A**: GTM4WP plugin (free)
- Automatically pushes GA4-compatible data layer events
- Configure: WooCommerce   Integration   GTM4WP   Integration tab
- Enable all e-commerce events

**Option B**: Custom implementation
- Add data layer pushes to your theme's relevant templates
- `woocommerce_after_single_product` for view_item
- Cart page template for add_to_cart / view_cart
- `woocommerce_thankyou` hook for purchase

**WooCommerce gotcha**: Caching plugins can freeze data layer values on the thank-you page. Exclude the order confirmation page from all caching.

### BigCommerce

- No native GTM support (non-Enterprise)
- Use Script Manager to inject GTM container
- Data layer pushes require custom JavaScript
- Enterprise tier gets full checkout customization

### Custom Platforms

Implement data layer pushes at each event point in your application. Follow the exact schema above. The GTM variables in the Container Template (Bonus 1) expect this exact structure.

---

## Validation Checklist

After implementing data layer pushes:

- [ ] Open GTM Preview mode
- [ ] Navigate to a product page - check console for `view_item` push
- [ ] Add item to cart - check for `add_to_cart` push
- [ ] Proceed to checkout - check for `begin_checkout` push
- [ ] Complete purchase - check for `purchase` push
- [ ] Verify `transaction_id` is unique per order
- [ ] Verify `value` matches order total
- [ ] Verify `items` array has all purchased products
- [ ] Verify no duplicate pushes on any event

---

---

## Worked Example

**Business**: Shopify store selling organic skincare. 4 products. Monthly Google Ads spend: $15K. Implementing GA4 e-commerce tracking via GTM.

### Scenario: Customer purchases 2 items

A customer adds a Vitamin C Serum ($38) and a Moisturizer ($29) to cart, applies coupon "GLOW20", and completes checkout. Here's the exact data layer sequence that should fire:

**Event 1: view_item (customer visits serum product page)**

```javascript
dataLayer.push({ ecommerce: null });
dataLayer.push({
  event: 'view_item',
  ecommerce: {
    currency: 'USD',
    value: 38.00,
    items: [{
      item_id: 'SKU-VC-001',
      item_name: 'Vitamin C Brightening Serum',
      item_brand: 'GlowOrganics',
      item_category: 'Skincare',
      item_category2: 'Serums',
      item_variant: '30ml',
      price: 38.00,
      quantity: 1
    }]
  }
});
```

**Event 2: add_to_cart (customer adds serum)**

```javascript
dataLayer.push({ ecommerce: null });
dataLayer.push({
  event: 'add_to_cart',
  ecommerce: {
    currency: 'USD',
    value: 38.00,
    items: [{
      item_id: 'SKU-VC-001',
      item_name: 'Vitamin C Brightening Serum',
      item_brand: 'GlowOrganics',
      item_category: 'Skincare',
      price: 38.00,
      quantity: 1
    }]
  }
});
```

**Event 3: add_to_cart (customer adds moisturizer)**

```javascript
dataLayer.push({ ecommerce: null });
dataLayer.push({
  event: 'add_to_cart',
  ecommerce: {
    currency: 'USD',
    value: 29.00,
    items: [{
      item_id: 'SKU-HM-003',
      item_name: 'Hydrating Ceramide Moisturizer',
      item_brand: 'GlowOrganics',
      item_category: 'Skincare',
      price: 29.00,
      quantity: 1
    }]
  }
});
```

**Event 4: begin_checkout**

```javascript
dataLayer.push({ ecommerce: null });
dataLayer.push({
  event: 'begin_checkout',
  ecommerce: {
    currency: 'USD',
    value: 67.00,
    coupon: 'GLOW20',
    items: [
      {
        item_id: 'SKU-VC-001',
        item_name: 'Vitamin C Brightening Serum',
        price: 38.00,
        quantity: 1
      },
      {
        item_id: 'SKU-HM-003',
        item_name: 'Hydrating Ceramide Moisturizer',
        price: 29.00,
        quantity: 1
      }
    ]
  }
});
```

**Event 5: purchase (order confirmation)**

```javascript
dataLayer.push({ ecommerce: null });
dataLayer.push({
  event: 'purchase',
  ecommerce: {
    transaction_id: 'GO-20260223-4892',
    value: 60.56,
    tax: 4.76,
    shipping: 0.00,
    currency: 'USD',
    coupon: 'GLOW20',
    items: [
      {
        item_id: 'SKU-VC-001',
        item_name: 'Vitamin C Brightening Serum',
        item_brand: 'GlowOrganics',
        item_category: 'Skincare',
        item_variant: '30ml',
        price: 38.00,
        quantity: 1,
        discount: 7.60
      },
      {
        item_id: 'SKU-HM-003',
        item_name: 'Hydrating Ceramide Moisturizer',
        item_brand: 'GlowOrganics',
        item_category: 'Skincare',
        item_variant: '50ml',
        price: 29.00,
        quantity: 1,
        discount: 5.80
      }
    ]
  }
});
```

**Math check**: Subtotal $67.00 - 20% coupon ($13.40) = $53.60 + $4.76 tax + $0 shipping (free over $50) = **$58.36**. Wait - that doesn't match `value: 60.56`. Fix: The `value` field should be the total amount charged: $67.00 - $13.40 + $4.76 + $0.00 = **$58.36**, not $60.56.

This is a common implementation bug: the `value` field must equal the actual charge amount (items minus discounts plus tax plus shipping). Always validate the math.

### Validation Walkthrough

- [x] Open GTM Preview mode -  Connected to staging site
- [x] Product page -  `view_item` fires with correct item_id "SKU-VC-001" and price 38.00
- [x] Add to cart -  `add_to_cart` fires with matching item data
- [x] Checkout page -  `begin_checkout` fires with both items in the array and coupon "GLOW20"
- [x] Order confirmation -  `purchase` fires with unique transaction_id "GO-20260223-4892"
- [x] transaction_id is unique (includes date + order number)
- [x] value matches order total ($58.36 after correction)
- [x] items array has both products with correct quantities
- [x] No duplicate pushes (each event fires exactly once)

---

## Your Turn

Implement the data layer events for your store following the schema above. Then run through the validation checklist using GTM Preview mode.

Key things to verify:
1. Every event fires exactly once (no duplicates)
2. `value` matches the actual charge amount (items - discounts + tax + shipping)
3. `transaction_id` is unique per order (never reused)
4. `items` array includes ALL purchased products

---

## Interpretation Guide

| Issue | What It Means | Fix |
|-------|--------------|-----|
| Event fires but items array is empty | Data layer push is missing the items object | Check your template/code - items must be populated dynamically per page |
| transaction_id is "undefined" or blank | Order ID isn't being pulled into the data layer | For Shopify: use the checkout.order_id from the Customer Events API |
| value doesn't match Shopify order total | Math error in the data layer (common: forgetting to subtract discounts or add tax) | Validate: value = sum(item prices x quantities) - discounts + tax + shipping |
| Duplicate purchase events | Thank-you page isn't preventing re-fires on refresh | Add a check: only fire purchase if this transaction_id hasn't been seen before |
| Events fire on storefront but not checkout | Shopify's checkout runs on a separate domain | Use Shopify's Web Pixel API or a GTM bridge app to handle the checkout handoff |
| Console shows "ecommerce: null" but no event follows | The null-clearing push is working but the event push is failing | Check for JavaScript errors in the console - likely a syntax error in the event push |

*This reference sheet accompanies Module 2 (Tag Architecture) and Module 3 (GA4 Event Setup) of the Complete Tracking Fix Playbook.*


# GTM Container Template

**Standalone Value: $147** | **Bonus 1 of 5**

---

## Purpose

Pre-built Google Tag Manager container with the exact tag, trigger, and variable configurations from Module 2 of the Complete Tracking Fix Playbook. Import into your GTM workspace, update your IDs, and you have a clean, properly structured starting point.

Saves 8-10 hours of manual configuration.

---

## What's Included

### Tags (8)

| Tag Name | Type | Fires On | Purpose |
|----------|------|----------|---------|
| GA4 - Config | GA4 Configuration | All Pages | Base GA4 configuration tag |
| GA4 - Purchase Event | GA4 Event | Purchase (custom event) | E-commerce purchase tracking |
| GA4 - Add to Cart | GA4 Event | add_to_cart (custom event) | Cart behavior tracking |
| GA4 - Begin Checkout | GA4 Event | begin_checkout (custom event) | Checkout funnel tracking |
| GA4 - View Item | GA4 Event | view_item (custom event) | Product page tracking |
| Google Ads - Conversion | Google Ads Conversion Tracking | Purchase (custom event) | Primary conversion tracking |
| Google Ads - Remarketing | Google Ads Remarketing | All Pages | Audience building |
| Conversion Linker | Conversion Linker | All Pages | Cookie management for attribution |

### Triggers (6)

| Trigger Name | Type | Condition |
|-------------|------|-----------|
| Trigger - All Pages | Page View | All page views |
| Trigger - Purchase Event | Custom Event | event = "purchase" AND transaction_id is not empty |
| Trigger - Add to Cart | Custom Event | event = "add_to_cart" |
| Trigger - Begin Checkout | Custom Event | event = "begin_checkout" |
| Trigger - View Item | Custom Event | event = "view_item" |
| Trigger - DOM Ready | DOM Ready | All pages (for data layer checks) |

### Variables (10)

| Variable Name | Type | Source |
|--------------|------|--------|
| DLV - transaction_id | Data Layer Variable | ecommerce.transaction_id |
| DLV - transaction_value | Data Layer Variable | ecommerce.value |
| DLV - currency | Data Layer Variable | ecommerce.currency |
| DLV - items | Data Layer Variable | ecommerce.items |
| DLV - tax | Data Layer Variable | ecommerce.tax |
| DLV - shipping | Data Layer Variable | ecommerce.shipping |
| CJS - Transaction ID Validator | Custom JavaScript | Validates transaction_id, generates fallback |
| Const - GA4 Measurement ID | Constant | [YOUR_GA4_ID] |
| Const - Google Ads Conversion ID | Constant | [YOUR_CONVERSION_ID] |
| Const - Google Ads Conversion Label | Constant | [YOUR_CONVERSION_LABEL] |

### Folders (4)

| Folder | Contents | When to Touch |
|--------|----------|--------------|
| GA4 | GA4 Config + all GA4 event tags | Adding new events, updating Measurement ID |
| Google Ads | Conversion tag + Remarketing tag + Conversion Linker | Updating conversion IDs, adding new actions |
| Utilities | Transaction ID Validator, custom JS variables | Rarely - only when adding new validation logic |
| Triggers | All triggers in one place | When adding new events or changing firing conditions |

**Why this 4-folder structure**: When something breaks, you need to isolate fast. "Conversions doubled overnight" - open the Google Ads folder, check what changed. "GA4 missing events" - open the GA4 folder. Flat containers with 40+ unsorted tags turn a 5-minute investigation into a 45-minute search. Every container we've cleaned up that had no folder structure had at least 3 orphaned or duplicate tags nobody knew existed.

---

## Import Instructions

### Step 1: Export Your Current Container (Backup)

1. Open GTM   Admin   Export Container
2. Select current version
3. Download and save the JSON file (this is your backup)

### Step 2: Import the Template

1. Open GTM   Admin   Import Container
2. Select the template JSON file
3. Choose workspace: "Default Workspace" or create new
4. Choose import option: **Merge**   **Rename conflicting tags**
5. Review the import preview - it will show what's being added
6. Click Confirm

### Step 3: Update Your IDs

Replace these placeholder values with your actual IDs:

| Placeholder | Where to Find Your ID |
|-------------|----------------------|
| [YOUR_GA4_ID] | GA4 Admin   Data Streams   Measurement ID (G-XXXXXXXXXX) |
| [YOUR_CONVERSION_ID] | Google Ads   Goals   Conversions   [action]   Tag setup |
| [YOUR_CONVERSION_LABEL] | Google Ads   Goals   Conversions   [action]   Tag setup |

Update in: Const - GA4 Measurement ID, Const - Google Ads Conversion ID, Const - Google Ads Conversion Label

### Step 4: Verify Data Layer

The template expects your website to push these data layer events:
- `view_item` (product pages)
- `add_to_cart` (add to cart action)
- `begin_checkout` (checkout page)
- `purchase` (order confirmation)

**Shopify**: Most Shopify themes push these natively or via the Shopify Pixel API
**WooCommerce**: Requires data layer plugin (MonsterInsights, GTM4WP, or custom)
**BigCommerce**: Requires custom data layer implementation

### Step 5: Test in Preview Mode

1. Enable GTM Preview mode
2. Navigate through: Product page   Add to cart   Checkout   Purchase
3. Verify each tag fires on the correct event
4. Check that variables populate with correct values
5. Run Module 6 test fire protocol for full validation

---

## Transaction ID Validator (Custom JavaScript)

```javascript
function() {
  var txId = {{DLV - transaction_id}};
  if (!txId || txId === '' || txId === 'undefined' || txId === 'null') {
    return 'FALLBACK-' + new Date().getTime() + '-' + Math.random().toString(36).substr(2, 9);
  }
  return String(txId);
}
```

**What this does**: If your data layer fails to push a transaction ID (which breaks deduplication), this generates a unique fallback ID. It's a safety net, not a solution - fix your data layer to push real order IDs.

---

## Enhanced Conversions Configuration

The Google Ads Conversion tag in this template has Enhanced Conversions pre-configured. You need to map the user data fields to your data layer or page elements.

**Data layer method** (preferred):

```javascript
dataLayer.push({
  event: 'purchase',
  ecommerce: {
    transaction_id: 'T-12345',
    value: 89.97,
    currency: 'USD',
    items: [/* items */]
  },
  user_data: {
    email: 'customer@example.com',
    phone_number: '+11234567890',
    address: {
      first_name: 'John',
      last_name: 'Doe',
      street: '123 Main St',
      city: 'New York',
      region: 'NY',
      postal_code: '10001',
      country: 'US'
    }
  }
});
```

Google automatically hashes the data before sending. You do not need to hash it yourself.

---

## Cross-Domain Tracking Configuration

If your checkout runs on a different domain than your storefront (common with Shopify, headless setups, or presell funnels), add this to your GA4 Config tag:

**Linker configuration** (in the GA4 - Config tag, Fields to Set):

| Field | Value |
|-------|-------|
| linker.domains | Your domains, comma-separated (e.g., `store.com,checkout.store.com,try.store.com`) |
| cookie_flags | `SameSite=None;Secure` |

This ensures the `_gl` parameter passes between domains, maintaining session continuity. Without it, a user who clicks through from your presell page to your checkout appears as a new session - breaking attribution.

**Tracking parameter preservation**: The GA4 linker handles GA4's `_gl` parameter, but ad platform click IDs (gclid, gbraid, wbraid, fbclid) need explicit URL decoration on outbound links. The tracking script in Module 2 handles this by storing all parameters in a first-party cookie (`_presell_tracking`, SameSite=Lax, 365-day expiry) and decorating destination links on DOMContentLoaded.

## Customization Notes

- **Additional platforms** (Meta, TikTok, etc.): Create a new folder per platform and add tags following the same naming convention
- **Additional events** (email signup, phone click, etc.): Duplicate the GA4 event tag template, update the event name and trigger
- **Multiple conversion actions**: Duplicate the Google Ads Conversion tag, update the conversion ID/label, and set the appropriate trigger
- **Presell tracking dimensions**: If using presell pages, add custom GA4 event parameters: `presell_slug`, `angle_id`, `strategy`, `page_type` - then register as custom dimensions in GA4 Admin   Custom Definitions

---

*This template is based on the Module 2 Tag Architecture from the Complete Tracking Fix Playbook. Refer to Module 2 for detailed explanations of each configuration choice.*


# Conversion Action Decision Tree

**Standalone Value: $67** | **Bonus 2 of 5**

---

## Purpose

Visual decision flowchart for setting up Google Ads conversion actions correctly. Follow the tree for each conversion action in your account. Eliminates the guesswork of primary vs secondary, One vs Every, and attribution window configuration.

---

## Decision Tree: Should This Be a Conversion Action?

```
START: Is this action directly tied to revenue or a qualified lead?
│
├── YES: Does money change hands when this happens?
│   │
│   ├── YES (Purchase, subscription, payment)
│   │   → PRIMARY conversion action
│   │   → Category: Purchase
│   │   → Counting: Every (e-commerce) or One (subscription)
│   │   → Value: Dynamic (from data layer)
│   │
│   └── NO (Form submit, phone call, demo request)
│       │
│       ├── Is this a QUALIFIED lead action? (not just any form)
│       │   │
│       │   ├── YES → PRIMARY conversion action
│       │   │   → Category: Lead (submit_lead_form)
│       │   │   → Counting: One
│       │   │   → Value: Static (avg customer value) or Dynamic (if CRM passes value)
│       │   │
│       │   └── NO → SECONDARY conversion action (observation only)
│       │
│       └── Is this a phone call   60 seconds?
│           │
│           ├── YES → PRIMARY conversion action
│           │   → Category: Lead (phone_call_lead)
│           │   → Counting: One
│           │
│           └── NO → SECONDARY or don't track
│
└── NO: Is this action a meaningful step toward revenue?
    │
    ├── YES (Add to cart, begin checkout, newsletter signup)
    │   → SECONDARY conversion action (observation only)
    │   → Do NOT include in conversions
    │   → Use for audience building and reporting only
    │
    └── NO (Page view, scroll, video view, button click)
        → DO NOT create a conversion action
        → Track as GA4 event only (not in Google Ads)
```

---

## Decision Tree: Counting Method

```
What type of conversion is this?
│
├── E-COMMERCE PURCHASE
│   → Count: EVERY
│   → Reason: Each purchase is a separate revenue event
│
├── SUBSCRIPTION / RECURRING PAYMENT
│   → Count: ONE
│   → Reason: First payment matters, renewals are retention
│
├── LEAD FORM SUBMIT
│   → Count: ONE
│   → Reason: One lead per user, prevent form re-submit duplicates
│
├── PHONE CALL
│   → Count: ONE
│   → Reason: One call per user per session is meaningful
│
└── MICRO-CONVERSION (cart, checkout start)
    → Count: EVERY (but this is secondary, so it doesn't affect bidding)
```

---

## Decision Tree: Attribution Window

```
What is your average purchase cycle?
│
├── IMPULSE (same day / 1-3 days)
│   Examples: Low-priced DTC, fashion, consumables
│   → Click window: 7 days
│   → View window: 1 day
│
├── CONSIDERATION (3-14 days)
│   Examples: Mid-priced DTC, electronics, home goods
│   → Click window: 14 days or 30 days
│   → View window: 1 day
│
├── RESEARCH-HEAVY (14-30+ days)
│   Examples: High-priced items, furniture, B2B
│   → Click window: 30 days (or 60/90 if available)
│   → View window: 1 day
│
└── NOT SURE?
    → Keep default (30-day click, 1-day view)
    → Check GA4: Reports   Monetization   Purchase Journey   Days to conversion
    → If 80%+ convert within 7 days, shorten to 7 or 14
```

---

## Decision Tree: Attribution Model

```
How many conversions does this action get per month?
│
├── 300+ conversions/month
│   → Data-Driven Attribution (DDA)
│   → Google can model multi-touch paths
│
├── 50-299 conversions/month
│   → Data-Driven Attribution (DDA) - may work
│   → If DDA not available, use Last Click
│
└── Under 50 conversions/month
    → Last Click
    → Not enough data for algorithmic modeling
```

---

## The Two Flags That Control Everything

Every conversion action in Google Ads has two boolean flags that determine how it's used. Misunderstanding these causes most conversion action misconfiguration.

**`primary_for_goal`** = Should Smart Bidding optimize for this action?
- `true`: The algorithm actively seeks users who take this action. Your tCPA and tROAS targets are calculated against it.
- `false`: Observation only. Google reports it but doesn't bid toward it.

**`include_in_conversions_metric`** = Should this show in the "Conversions" column?
- `true`: The action appears in your main Conversions column in reports.
- `false`: Only visible in "All conversions" or segmented views.

**The 4 possible combinations**:

| primary_for_goal | include_in_conversions | Effect | Use For |
|-----------------|----------------------|--------|---------|
| true | true | Bidding target + reported | Purchase, qualified lead |
| false | true | Reported but not optimized | Rare - creates confusion. Avoid. |
| false | false | Pure observation | Add to cart, begin checkout, newsletter |
| true | false | Bidding target but hidden from reports | Never do this. Invisible optimization = chaos. |

**The safe pattern**: Primary actions get both flags set to `true`. Everything else gets both flags set to `false`. The middle combinations cause more confusion than they solve.

## Quick Audit Checklist

Run this for every conversion action currently in your account. Pull the full action list and check these fields for each:

| # | Field / Check | Expected State | Action if Failed |
|---|-------|----------------|-----------------|
| 1 | `status` | ENABLED (or REMOVED if deprecated) | Remove REMOVED actions to reduce noise |
| 2 | `primary_for_goal` | true ONLY for Purchase (and maybe Qualified Call) | Set to false for everything else |
| 3 | `include_in_conversions_metric` | true ONLY for primary actions | Set to false for secondary/observation actions |
| 4 | `counting_type` | EVERY_CONVERSION for purchases, ONE_CONVERSION for leads | Update to match business logic |
| 5 | `category` | Matches the actual action (PURCHASE, ADD_TO_CART, etc.) | Correct the category |
| 6 | Conversion value | Dynamic from data layer (not static) | Reconfigure GTM variable mapping |
| 7 | Attribution window | Matches actual purchase cycle (check GA4   Monetization   Purchase Journey) | Shorten if 80%+ convert in  7 days |
| 8 | Attribution model | Data-driven if 300+ conversions/month | Fall back to Last Click if  50/month |
| 9 | Duplicate actions | No two actions tracking the same event | Remove the duplicate, keep the one with history |

---

*Use this decision tree when implementing Module 4 (Google Ads Conversion Actions) of the Complete Tracking Fix Playbook.*


# Server-Side Tracking Setup Checklist

**Standalone Value: $97** | **Bonus 3 of 5**

---

## Purpose

Step-by-step checklist for deploying server-side tracking. Covers provider selection, domain configuration, container setup, parallel-run validation, and migration. The implementation-day companion to Module 5.

---

## Phase 1: Provider Selection

- [ ] **1.1** Choose hosting provider

| Provider | Monthly Cost | Setup Difficulty | Best For |
|----------|-------------|-----------------|----------|
| Stape.io | $20-100/mo | Low (managed) | Most e-commerce brands |
| Google Cloud Run | $50-150/mo | Medium | Brands with GCP experience |
| AWS Lambda/CloudFront | $50-200/mo | High | Enterprise with AWS infra |
| Custom server | $100-300/mo | High | Full control requirements |

**Our recommendation for most e-commerce brands**: Stape.io. Managed hosting, one-click GTM server container deployment, built-in custom loader (bypasses ad blockers), and support included. We've deployed it on 50+ client accounts. The cost/performance ratio beats self-hosted for any brand under $500K/month in ad spend.

**Cost comparison at common traffic levels**:

| Monthly Sessions | Stape.io | Google Cloud Run | Self-Hosted |
|-----------------|----------|-----------------|-------------|
| 100K | ~$20/mo | ~$50-70/mo | ~$100-150/mo + DevOps time |
| 500K | ~$50/mo | ~$80-120/mo | ~$150-200/mo + DevOps time |
| 2M | ~$100/mo | ~$120-180/mo | ~$200-300/mo + DevOps time |
| 5M+ | ~$200+/mo | ~$150-250/mo | ~$250-400/mo + DevOps time |

At 5M+ sessions, Cloud Run starts to compete on price - but you're managing infrastructure yourself. Below that threshold, Stape's managed service is cheaper when you factor in the engineering hours you're not spending on server maintenance.

- [ ] **1.2** Confirm provider supports your region (GDPR requirements for EU data)
- [ ] **1.3** Estimate monthly cost based on traffic volume
- [ ] **1.4** Create provider account

## Phase 2: Domain Configuration

- [ ] **2.1** Choose subdomain for server endpoint (recommended: `ss.yourdomain.com` or `track.yourdomain.com`)
- [ ] **2.2** Create CNAME or A record pointing subdomain to provider
- [ ] **2.3** Wait for DNS propagation (up to 48 hours, usually 1-4 hours)
- [ ] **2.4** Verify subdomain resolves correctly
- [ ] **2.5** Configure SSL certificate for subdomain (most providers handle automatically)
- [ ] **2.6** Test HTTPS on subdomain (should load without certificate errors)

## Phase 3: Server Container Setup

- [ ] **3.1** Create server-side GTM container (GTM   Admin   Create Container   Server)
- [ ] **3.2** Deploy container to hosting provider
- [ ] **3.3** Configure container URL to your subdomain
- [ ] **3.4** Verify container is running (visit subdomain, should return 200 status)

### Server-Side Tags to Configure

- [ ] **3.5** GA4 tag (server-side) - sends events to GA4
- [ ] **3.6** Google Ads Conversion Tracking tag (server-side)
- [ ] **3.7** Google Ads Remarketing tag (server-side) - if applicable
- [ ] **3.8** Consent Mode handling in server container

### Server-Side Clients to Configure

- [ ] **3.9** GA4 client - receives data from client-side GA4 tag
- [ ] **3.10** Google Ads client (if sending directly)

## Phase 4: Client-Side GTM Updates

- [ ] **4.1** Update GA4 Configuration tag to send data to server endpoint
  - Transport URL: `https://ss.yourdomain.com`
- [ ] **4.2** Update first-party cookie domain settings
- [ ] **4.3** Verify client-side tags still fire correctly in GTM Preview
- [ ] **4.4** Confirm data reaches server container (check server container logs)

## Phase 5: First-Party Cookie Configuration

- [ ] **5.1** Configure server to set first-party `_ga` cookie
- [ ] **5.2** Verify cookie is set by your domain (not `google-analytics.com`)
- [ ] **5.3** Confirm cookie lifespan is 2 years (not limited to 7 days by ITP)
- [ ] **5.4** Test in Safari: cookie should persist beyond 7 days

## Phase 6: Parallel Run (30 Days)

**Do not turn off client-side tracking yet.** Run both in parallel for 30 days.

- [ ] **6.1** Client-side tracking still running normally
- [ ] **6.2** Server-side tracking receiving and forwarding events
- [ ] **6.3** Set up comparison tracking:

| Metric | Client-Side | Server-Side | Delta |
|--------|-------------|-------------|-------|
| Purchase events (Week 1) | ___ | ___ | ___% |
| Purchase events (Week 2) | ___ | ___ | ___% |
| Purchase events (Week 3) | ___ | ___ | ___% |
| Purchase events (Week 4) | ___ | ___ | ___% |
| Total value (Month) | $___ | $___ | ___% |

- [ ] **6.4** Server-side should show equal or MORE events than client-side
- [ ] **6.5** If server-side shows fewer events, investigate:
  - [ ] Check server container error logs
  - [ ] Verify transport URL is correct
  - [ ] Check if CORS headers are configured
  - [ ] Verify consent state passes to server

## Phase 7: GCLID   Parameter Preservation

Server-side tracking must preserve ad platform click identifiers through the full user journey:

- [ ] **7.1** Verify GCLID captured on landing page (from URL `gclid=` parameter)
- [ ] **7.2** GCLID stored in first-party cookie (365-day expiry, SameSite=Lax)
- [ ] **7.3** All tracking parameters preserved: `gclid`, `gbraid`, `wbraid`, `fbclid`, `utm_source`, `utm_medium`, `utm_campaign`, `utm_content`, `utm_term`
- [ ] **7.4** Cross-domain links decorated with stored parameters (especially gclid for Google Ads attribution)
- [ ] **7.5** GCLID available at conversion time for server-side upload (critical: must be  90 days old)

## Phase 8: Deduplication

- [ ] **8.1** Configure event deduplication between client and server
- [ ] **8.2** Use transaction_id as deduplication key for purchase events
- [ ] **8.3** Verify no double-counting in GA4 or Google Ads
- [ ] **8.4** If using both client and server for same events, ensure only one set counts as primary
- [ ] **8.5** For offline conversion uploads, check that `partial_failure=True` is enabled so one bad record doesn't kill the batch

## Phase 9: Migration Decision

After 30-day parallel run:

```
Server-side data  = Client-side data?
│
├── YES (expected - server catches what client misses)
│   → Shift primary tracking to server-side
│   → Keep client-side as fallback (reduced role)
│   → Monitor for 2 weeks post-migration
│
├── CLOSE (within 5%)
│   → Keep both running
│   → Server-side value comes from first-party cookies
│   → Review again in 30 days
│
└── NO (server shows fewer)
    → Do NOT migrate
    → Investigate server container configuration
    → Check transport URL, CORS, consent handling
    → Fix issues, restart parallel run
```

- [ ] **9.1** Migration decision made based on data
- [ ] **9.2** If migrating: shift primary to server-side
- [ ] **9.3** Post-migration: monitor daily for 2 weeks
- [ ] **9.4** Add server container health check to Module 7 weekly monitoring

## Phase 10: Post-Setup Monitoring

- [ ] **10.1** Add server container uptime monitoring
- [ ] **10.2** Set up alerts for server errors or downtime
- [ ] **10.3** Include server-side metrics in weekly health check
- [ ] **10.4** Plan monthly cost review (traffic spikes = cost spikes)
- [ ] **10.5** Document full setup in Module 7 tracking documentation
- [ ] **10.6** Include GCLID  90-day freshness check in monitoring (for offline conversion import)

---

## Troubleshooting

| Issue | Cause | Fix |
|-------|-------|-----|
| No data in server container | Transport URL wrong | Verify client-side GA4 config points to correct subdomain |
| CORS errors in console | Missing headers | Add CORS headers to server configuration |
| Cookies still third-party | Server not setting cookies | Check cookie configuration in server container |
| Duplicate events | Both client and server sending | Configure deduplication via transaction_id |
| Higher costs than expected | Traffic spike or misconfiguration | Check container logs, optimize request handling |

---

*Use this checklist when implementing Module 5 (Server-Side Tracking) of the Complete Tracking Fix Playbook.*


# Tracking QA Protocol

**Standalone Value: $147** | **Bonus 4 of 5**

---

## Purpose

The complete test fire sequence template from Module 6, formatted as a reusable QA protocol. Use this after any tracking change - initial setup, platform update, theme change, or quarterly re-validation. Includes pre-formatted logging tables, cross-platform reconciliation, and conditional pass/fail criteria.

---

## Pre-Test Setup

### Environment Preparation

- [ ] GTM Preview mode enabled (open GTM   Preview   enter site URL)
- [ ] GA4 DebugView open (GA4   Admin   DebugView)
- [ ] GA4 Realtime open (GA4   Reports   Realtime)
- [ ] Google Ads conversion report filtered to today (24hr lag - check tomorrow)
- [ ] Shopify/platform admin open to Orders
- [ ] Browser: Chrome (incognito) with no ad blockers
- [ ] Mobile device available for Test #2
- [ ] Test payment method ready (Shopify test mode, Bogus Gateway, or $1 test product)
- [ ] VPN available for Test #3 (EU IP for consent testing - optional)

### Pre-Test Baseline

Record current state before running tests:

| Platform | Conversions (last 24hr) | Revenue (last 24hr) |
|----------|------------------------|---------------------|
| Google Ads | ___ | $___ |
| GA4 | ___ | $___ |
| Shopify/Platform | ___ | $___ |

---

## Test Fire Sequence (5 Tests)

**Quick Reference: 5 Test Conditions**

Every tracking validation must cover these 5 conditions. Skipping any one of them leaves a blind spot that will surface in production.

| Test | Condition | Device | Browser | What It Catches |
|------|-----------|--------|---------|----------------|
| 1 | Normal purchase | Desktop | Chrome | Baseline tag firing, value accuracy, funnel completeness |
| 2 | Normal purchase | Mobile | Safari | iOS tracking gaps, ITP cookie limits, mobile rendering |
| 3 | Consent denied | Desktop | Chrome | Consent Mode behavior, whether tags fire in restricted mode |
| 4 | Cross-domain checkout | Desktop | Firefox | Session continuity, _gl parameter passing, referral exclusions |
| 5 | Repeat purchase | Desktop | Chrome | Transaction ID deduplication, page refresh protection |

If all 5 pass, your tracking handles the real-world conditions that break most setups. If you can only run 3, prioritize tests 1, 2, and 5 - those catch 80% of production failures.

### Test 1: Baseline Desktop Purchase

**Condition**: Standard purchase flow, Desktop, Chrome, Consent granted
**Purpose**: Verify all tags fire correctly under ideal conditions

| Step | Action | Expected Result | Actual Result | Pass? |
|------|--------|----------------|---------------|-------|
| 1 | Visit product page | view_item fires in GTM Preview | | |
| 2 | Add to cart | add_to_cart fires in GTM Preview | | |
| 3 | Begin checkout | begin_checkout fires in GTM Preview | | |
| 4 | Complete purchase | purchase fires ONCE in GTM Preview | | |
| 5 | Check GA4 DebugView | purchase event with parameters | | |
| 6 | Check GA4 Realtime | Event appears, revenue populates | | |
| 7 | Check transaction_id | ID populated (not blank) | | |
| 8 | Check value | Matches order total | | |
| 9 | Check items array | Products listed with correct data | | |
| 10 | Check Conversion Linker | Fired on every page in session | | |

**Order ID**: _______________
**Order Value**: $_______________
**Transaction ID in GTM**: _______________

### Test 2: Mobile Safari Purchase

**Condition**: Standard purchase flow, Mobile, Safari, Consent granted
**Purpose**: Verify iOS/Safari tracking, mobile rendering

| Step | Action | Expected Result | Actual Result | Pass? |
|------|--------|----------------|---------------|-------|
| 1 | Visit product page (mobile) | view_item fires | | |
| 2 | Add to cart (mobile) | add_to_cart fires | | |
| 3 | Complete purchase (mobile) | purchase fires ONCE | | |
| 4 | Check GA4 DebugView | Event appears with parameters | | |
| 5 | Check transaction_id | ID populated | | |
| 6 | Check value | Matches order total | | |

**Order ID**: _______________
**Order Value**: $_______________

### Test 3: Consent Denied Purchase

**Condition**: Decline all cookies, then complete purchase
**Purpose**: Verify Consent Mode behavior

| Step | Action | Expected Result | Actual Result | Pass? |
|------|--------|----------------|---------------|-------|
| 1 | Visit site, DECLINE cookies | Consent state: denied in GTM | | |
| 2 | Complete purchase | Tags fire with consent state "denied" | | |
| 3 | Check GA4 Realtime | Event may NOT appear (expected) | | |
| 4 | Check GTM Preview | Tags show "fired" but with consent restrictions | | |
| 5 | Check Google Ads (next day) | Modeled conversion may appear | | |

**Expected behavior**: With Consent Mode active, tags fire in restricted mode. GA4 doesn't record the event in realtime. Google models the conversion later. If tags DON'T fire at all, Consent Mode is blocking incorrectly.

**Order ID**: _______________

### Test 4: Cross-Domain Purchase

**Condition**: Start on main domain, complete checkout on subdomain (if applicable)
**Purpose**: Verify session persists across domains

| Step | Action | Expected Result | Actual Result | Pass? |
|------|--------|----------------|---------------|-------|
| 1 | Visit main domain | Session starts, GA4 page_view | | |
| 2 | Navigate to checkout (different domain) | Session continues (same client_id) | | |
| 3 | Complete purchase | purchase event has same session as step 1 | | |
| 4 | Check GA4 Realtime | Single session, not two separate | | |
| 5 | Check referral source | Not showing as referral from checkout domain | | |

**Skip this test if**: Your checkout is on the same domain as your storefront.

**Order ID**: _______________

### Test 5: Repeat Purchase (Deduplication)

**Condition**: Same browser, complete second purchase
**Purpose**: Verify transaction ID prevents duplicate counting

| Step | Action | Expected Result | Actual Result | Pass? |
|------|--------|----------------|---------------|-------|
| 1 | Complete purchase #1 | purchase fires, unique transaction_id | | |
| 2 | Complete purchase #2 | purchase fires, DIFFERENT transaction_id | | |
| 3 | Check GA4 | Two separate purchase events, two different IDs | | |
| 4 | Refresh order confirmation page | purchase does NOT fire again | | |

**Order #1 ID**: _______________
**Order #2 ID**: _______________
**Transaction ID #1**: _______________
**Transaction ID #2**: _______________

---

## Cross-Platform Reconciliation Table

Fill in after all tests complete. Google Ads data available next day.

| Test # | Platform Order | GA4 Event? | GA4 Value | Google Ads Conv? | Google Ads Value | Value Match? |
|--------|---------------|------------|-----------|------------------|------------------|-------------|
| 1 | Yes / $____ | Yes/No | $____ | (check tomorrow) | $____ | Yes/No |
| 2 | Yes / $____ | Yes/No | $____ | (check tomorrow) | $____ | Yes/No |
| 3 | Yes / $____ | Modeled | N/A | (check tomorrow) | $____ | N/A |
| 4 | Yes / $____ | Yes/No | $____ | (check tomorrow) | $____ | Yes/No |
| 5 | Yes / $____ | Yes/No | $____ | (check tomorrow) | $____ | Yes/No |

### Pass/Fail Criteria

| Criteria | Requirement | Result |
|----------|-------------|--------|
| All purchase events fire exactly once | 5/5 tests | Pass / Fail |
| Transaction IDs unique and populated | All tests | Pass / Fail |
| Values match order totals (within $1) | Tests 1, 2, 4, 5 | Pass / Fail |
| Consent mode behavior correct | Test 3 | Pass / Fail |
| Cross-domain session persists | Test 4 (if applicable) | Pass / Fail |
| No duplicate fires on page refresh | Test 5, step 4 | Pass / Fail |
| Funnel events complete (view   cart   checkout   purchase) | Test 1 | Pass / Fail |

**Overall QA Result**: _____ / 7 criteria passed

---

## Failure Investigation Guide

If any test fails, use this decision tree:

```
TAG DOESN'T FIRE
├── Is the trigger condition met? (GTM Preview   Triggers)
│   ├── NO → Fix trigger (wrong event name, wrong page condition)
│   └── YES → Is consent blocking it?
│       ├── YES → Check consent tag configuration
│       └── NO → Check for JavaScript errors in browser console

VALUE IS WRONG
├── Is the data layer pushing correct value?
│   ├── NO → Fix data layer implementation
│   └── YES → Is the GTM variable reading the right key?
│       ├── NO → Fix variable mapping
│       └── YES → Check for cents vs dollars, tax/shipping inclusion

DUPLICATE FIRES
├── Is the tag firing twice in GTM Preview?
│   ├── YES → Check: multiple triggers? Data layer event fires twice?
│   └── NO → Check: hardcoded tag outside GTM? Second GTM container?

MISSING TRANSACTION ID
├── Is the data layer pushing transaction_id?
│   ├── NO → Fix data layer (platform-specific)
│   └── YES → Is the variable mapping correct in GTM?
│       └── Check DLV path: ecommerce.transaction_id

CROSS-DOMAIN BREAKS
├── Are domains configured in GA4? (Admin   Tag Settings   Configure Domains)
├── Is the Conversion Linker firing on all pages?
├── Does the URL include _gl parameter when crossing domains?
```

---

## Reuse Schedule

Run this full QA protocol:
- After initial tracking setup (Module 6)
- After any GTM container change
- After website redesign or theme update
- After platform update (Shopify, WooCommerce)
- Quarterly as part of Module 7 re-audit
- After any conversion action changes in Google Ads

---

## API-Level Test Fire (Advanced)

If you have Google Ads API access, you can validate server-side conversion upload paths directly. This is the automated version of the manual protocol above, based on the production test fire system.

**Step 1: Fetch enabled conversion actions**

Pull all actions with `status = ENABLED`. For each, record: id, name, resource_name (format: `customers/{cid}/conversionActions/{action_id}`), type, and category. These are the actions you'll test.

**Step 2: Obtain a valid GCLID**

The system needs a real GCLID from a recent click. Query `click_view` data (requires single-day date filter) working backwards from today. Look for any GCLID in the last 30 days. Record which campaign and date it came from.

If no GCLIDs are found (account has no recent clicks or click_view access is restricted):
1. Open your Google Ads account
2. Click "Ad preview" on any active ad
3. Click through to the landing page
4. Copy the `gclid=` value from the URL bar

**Step 3: Upload test conversions**

For each enabled conversion action, create a ClickConversion:
- `gclid`: The GCLID from Step 2
- `conversion_action`: The resource_name from Step 1
- `conversion_date_time`: Current timestamp in `YYYY-MM-DD HH:MM:SS+00:00` format
- `conversion_value`: 1.0 (test value)
- `currency_code`: USD

Upload via `ConversionUploadService.upload_click_conversions()` with `partial_failure=True`.

**Interpreting results per action**:

| Status | Meaning | Action |
|--------|---------|--------|
| SUCCESS | Action accepted the test conversion | This action is correctly configured for offline/API import |
| PARTIAL_FAILURE | This specific action failed | Check error: expired GCLID ( 90 days), wrong action type, duplicate upload |
| ERROR | Systemic failure | Check API credentials, customer ID, or network |
| DRY_RUN | Validation only (no upload) | Run with `--dry-run` flag first to validate before uploading |

**Common partial failure reasons**:
- GCLID expired ( 90 days old) - find a more recent one
- Conversion action type mismatch - action must be set up for import (type: UPLOAD_CLICKS)
- Conversion already uploaded for this GCLID + action pair - each pair is unique
- Time zone mismatch - use UTC format consistently

---

*This protocol is the manual version of the validation logic in our production test fire system. For automating diagnostics, see the Automated Diagnostic Workflow section in Module 7.*


# Monthly Tracking Health Report Template

**Standalone Value: $67** | **Bonus 5 of 5**

---

## Purpose

Pre-formatted report template for ongoing tracking health monitoring. Covers the weekly checks, monthly deep checks, and quarterly audits from Module 7. Fill in the data, track trends, and catch regressions before they compound.

---

## Weekly Health Check (15 Minutes)

**Week of**: _______________
**Checked by**: _______________

### Conversion Count Comparison

| Platform | Conversions (7 days) | Revenue (7 days) |
|----------|---------------------|-------------------|
| Google Ads | ___ | $___ |
| GA4 | ___ | $___ |
| Shopify/Platform | ___ | $___ |

### Conversion Ratio

| Comparison | Ratio | Expected Range | Status |
|------------|-------|---------------|--------|
| Google Ads / Shopify (conversions) | ___x | 0.8 - 1.2x | OK / Investigate |
| Google Ads / Shopify (revenue) | ___x | 0.85 - 1.15x | OK / Investigate |
| GA4 / Shopify (conversions) | ___x | 0.7 - 1.1x | OK / Investigate |

**If any ratio is outside expected range**: Check the investigation guide below.

### Quick Status Checks

| Check | Status | Notes |
|-------|--------|-------|
| Enhanced Conversions active? | Active / Error / Inactive | |
| Consent Mode active? | Active / Degraded / Inactive | |
| GTM container - any unauthorized publishes? | Yes / No | |
| GA4 purchase events - any sudden drops? | Yes / No | |
| Google Ads - any conversion alerts triggered? | Yes / No | |

### Weekly Verdict

- [ ] All ratios within expected range
- [ ] No alerts triggered
- [ ] No unauthorized GTM changes
- [ ] Enhanced Conversions and Consent Mode healthy

**Result**: All Clear / Investigation Needed

---

## Monthly Deep Check (1 Hour)

**Month**: _______________
**Checked by**: _______________

### 30-Day Platform Comparison

| Metric | Google Ads | GA4 | Shopify | Google/Shopify Delta | GA4/Shopify Delta |
|--------|-----------|-----|---------|---------------------|-------------------|
| Conversions | ___ | ___ | ___ | ___% | ___% |
| Revenue | $___ | $___ | $___ | ___% | ___% |
| Avg Order Value | $___ | $___ | $___ | ___% | ___% |

**Acceptable deltas**: Google Ads vs Shopify: 10-20%. GA4 vs Shopify: 10-25%. These are normal due to attribution model differences and conversion windows.

**Red flags**: Delta   30% or delta changed significantly from last month.

### Conversion Action Review

| Action Name | Type | Primary? | Conversions (30d) | Notes |
|-------------|------|----------|-------------------|-------|
| Purchase | Purchase | Yes | ___ | |
| ___ | ___ | ___ | ___ | |
| ___ | ___ | ___ | ___ | |

- [ ] No new actions added as primary since last check
- [ ] No old/deprecated actions reactivated
- [ ] Conversion counts consistent with previous month (no sudden 50%+ changes)

### Enhanced Conversions Health

| Metric | Current | Last Month | Change |
|--------|---------|------------|--------|
| Match rate | ___% | ___% | ___% |
| Status | Active/Error | Active/Error | |

**If match rate declined   5%**: Check data mapping, website changes, or data layer updates.

### GTM Audit

| Check | Status |
|-------|--------|
| Any new tags since last month? | ___ (list if yes) |
| Any new triggers since last month? | ___ (list if yes) |
| Version history - all publishes documented? | Yes / No |
| Any deprecated tags still firing? | Yes / No |

### Spot-Check: 5 High-Impact Diagnostic Items

Re-run these 5 items from the Module 1 diagnostic:

| # | Item | Status |
|---|------|--------|
| 1 | Conversion tag fires exactly once (GTM Preview test) | Pass / Fail |
| 2 | Transaction ID populated on test purchase | Pass / Fail |
| 3 | Purchase is only PRIMARY conversion | Pass / Fail |
| 4 | Conversion Linker fires on all pages | Pass / Fail |
| 5 | Cross-domain tracking working (if applicable) | Pass / Fail |

### Funnel Health Check (if running BOFU/MOFU/TOFU campaigns)

| Layer | Spend | Revenue | ROAS | Target | Status |
|-------|-------|---------|------|--------|--------|
| BOFU | $___ | $___ | ___x | 3.0x+ | OK / Below |
| MOFU | $___ | $___ | ___x | 1.5-3.0x | OK / Below |
| TOFU | $___ | $___ | ___x | 0.5-1.5x | OK / Below / Suspiciously High |

**TOFU Bleed Check**: Pull search terms from TOFU campaigns. Count BOFU/branded terms appearing.

| Metric | Value | Threshold | Status |
|--------|-------|-----------|--------|
| BOFU terms in TOFU | ___ terms | - | - |
| Bleed impressions | ___ | - | - |
| Bleed % of TOFU | ___% |  5% healthy, 5-15% monitor,  15% action | OK / Monitor / Action |

**If TOFU ROAS   3.0x**: Likely BOFU traffic bleeding into TOFU campaigns. The ROAS looks great but you're paying for traffic that would have converted anyway. Add exact-match negatives for brand and high-intent terms.

### Monthly Verdict

- [ ] Platform deltas within expected range
- [ ] No unauthorized conversion action changes
- [ ] Enhanced Conversions healthy
- [ ] No unexpected GTM changes
- [ ] Spot-check items all pass
- [ ] Funnel ROAS by layer within targets (if applicable)
- [ ] TOFU bleed below 15% (if applicable)

**Result**: All Clear / Action Items Below

**Action items** (if any):
1. _______________
2. _______________
3. _______________

---

## Quarterly Full Audit (3 Hours)

**Quarter**: Q___ 20___
**Checked by**: _______________

### Full Module 1 Diagnostic Re-Run

| Layer | Score | Last Quarter | Change |
|-------|-------|-------------|--------|
| Layer 1: Foundation (15 items) | ___/15 | ___/15 | ___ |
| Layer 2: Tag Implementation (18 items) | ___/18 | ___/18 | ___ |
| Layer 3: Conversion Actions (12 items) | ___/12 | ___/12 | ___ |
| Layer 4: Attribution (15 items) | ___/15 | ___/15 | ___ |
| Layer 5: Advanced Signals (18 items) | ___/18 | ___/18 | ___ |
| **Total** | ___/78 | ___/78 | ___ |

### Quarter-over-Quarter Trend

| Metric | This Quarter | Last Quarter | Q Before |
|--------|-------------|-------------|----------|
| Tracking Health Score | ___/78 | ___/78 | ___/78 |
| Enhanced Conv. Match Rate | ___% | ___% | ___% |
| Google Ads / Shopify Delta | ___% | ___% | ___% |
| GA4 / Shopify Delta | ___% | ___% | ___% |

### New Issues Found

| Issue | Layer | Severity | Fix By |
|-------|-------|----------|--------|
| ___ | ___ | Critical/High/Medium/Low | ___ |
| ___ | ___ | Critical/High/Medium/Low | ___ |
| ___ | ___ | Critical/High/Medium/Low | ___ |

### Platform Updates to Account For

| Update | Impact | Action Needed |
|--------|--------|---------------|
| ___ | ___ | ___ |
| ___ | ___ | ___ |

### Quarterly Verdict

**Overall Tracking Health**: Excellent / Good / Needs Attention / Critical

**Priority Actions**:
1. _______________
2. _______________
3. _______________

**Next Quarterly Audit Scheduled**: _______________

---

## Investigation Guide: When Ratios Go Wrong

### Google Ads showing MORE conversions than Shopify

| Possible Cause | How to Check | Fix |
|----------------|-------------|-----|
| Duplicate conversion firing | GTM Preview - does tag fire twice? | Fix trigger, add transaction_id dedup |
| View-through conversions inflating count | Google Ads   Conversions   Segments   Conversion type | Set view-through window to 0 or 1 day |
| Long attribution window capturing old clicks | Check attribution window settings | Shorten to match purchase cycle |
| Wrong counting method (Every vs One) | Google Ads   Conversions   Settings | Set to appropriate counting |

### Google Ads showing FEWER conversions than Shopify

| Possible Cause | How to Check | Fix |
|----------------|-------------|-----|
| Tag not firing on all purchases | GTM Preview through full purchase flow | Check trigger conditions |
| Cross-domain breaking | Complete test purchase, check GA4 | Configure cross-domain in GA4 |
| Consent Mode blocking without modeling | Check Google Ads   Diagnostics | Enable Advanced Consent Mode |
| Ad blockers/iOS preventing tracking | Compare mobile vs desktop conversion rates | Implement server-side tracking |
| Missing Enhanced Conversions | Google Ads   Conversions   Diagnostics | Enable and map fields |

### Sudden drop in conversions ( 30% week-over-week)

1. Check GTM version history - was container published?
2. Check website - any theme/plugin updates?
3. Check consent banner - still functioning?
4. Check GA4 Realtime - are events firing?
5. Check server-side container - still running? (if applicable)
6. Run Module 6 test fire protocol to isolate the break

---

---

## When This Fails, See Module X

Quick reference for mapping health check failures to the module that fixes them. When a check fails, go to the referenced module and re-run that section's implementation steps.

| Health Check Failure | Threshold | Go To |
|---------------------|-----------|-------|
| Conversion count mismatch   10% (Google Ads vs Shopify) | Ratio outside 0.8-1.2x | Module 2 (Tag Architecture) - check for duplicate tags, missing triggers, or hardcoded tags outside GTM |
| Conversion value mismatch   10% | Values differ by more than 5% on spot-check | Module 2 (Tag Architecture) - verify data layer variable mapping for transaction value and currency |
| GCLID coverage below 85% | Less than 85% of ad clicks carry a valid GCLID to conversion | Module 3 (GA4 Event Setup) - check auto-tagging, redirect chains, and cross-domain parameter preservation |
| Enhanced Conversions match rate below 60% | Match rate dropped below 60% or declining   5% month-over-month | Module 4 (Enhanced Conversions in Module 5) - re-verify field mapping, check for CSS selector breakage, confirm data layer population |
| Enhanced Conversions status Error or Inactive | Status is anything other than "Active" | Module 5 (Server-Side Tracking) - re-run Enhanced Conversions setup, check GTM tag configuration |
| Server-side events not firing | Zero server-side events in SGTM logs for 24+ hours | Module 5 (Server-Side Tracking) - check server container health, client-to-server data flow, and CAPI configuration |
| Consent Mode degraded or inactive | Google Ads diagnostics shows consent mode not active | Module 5 (Server-Side Tracking) - check consent banner integration, verify default consent state in GTM |
| GA4 purchase events sudden drop   20% | Week-over-week drop exceeds 20% | Module 6 (Testing   Validation) - run the test fire protocol to isolate which step in the funnel is breaking |
| Zero conversions for 24+ hours on primary action | No conversions reported on your primary action for a full day | Module 6 (Testing   Validation) - run immediate test fire, then check Module 2 triggers if test also fails |
| Unauthorized GTM container publish | Version history shows a publish you didn't authorize | Module 7 (Monitoring   Maintenance) - review change log, restrict publish access, roll back if needed |

When multiple checks fail simultaneously, start with the lowest-numbered module. Foundation issues (Module 2) cascade into everything above.

---

*Use this template for all ongoing monitoring as described in Module 7 (Monitoring   Maintenance) of the Complete Tracking Fix Playbook.*


# GTM Container Setup Guide: Step-by-Step Recreation

## Purpose

Recreate the complete GTM container from scratch using exact tag names, trigger configurations, variable definitions, and firing rules. Follow this guide if you cannot import the container JSON template, or if you want to understand every configuration decision.

---

## Prerequisites

Before starting, gather these IDs:

| ID | Where to Find It | Your Value |
|----|------------------|-----------|
| GA4 Measurement ID | GA4 Admin   Data Streams   Web   Measurement ID | G-_________________ |
| Google Ads Conversion ID | Google Ads   Goals   Conversions   Tag setup   Conversion ID | _________________ |
| Google Ads Conversion Label | Google Ads   Goals   Conversions   Tag setup   Conversion Label | _________________ |
| Google Ads Remarketing ID | Same as Conversion ID (they share the AW- prefix) | AW-_________________ |

---

## Step 1: Create Folder Structure

Create 4 folders before adding anything else. This keeps the container organized as it grows.

1. Open GTM   Workspace   Folders   New Folder
2. Create these folders in order:

| Folder Name | Contents | Purpose |
|-------------|----------|---------|
| GA4 | GA4 Config tag + all GA4 event tags | All Google Analytics tracking |
| Google Ads | Conversion + Remarketing + Conversion Linker | All paid ads tracking |
| Triggers | All custom triggers | Central trigger management |
| Utilities | Custom JS variables, validators | Helper logic |

---

## Step 2: Create Variables (10 Total)

### Data Layer Variables (6)

For each, go to Variables   User-Defined Variables   New   Data Layer Variable.

| Variable Name | Data Layer Variable Name | Data Layer Version | Folder |
|--------------|------------------------|-------------------|--------|
| DLV - transaction_id | ecommerce.transaction_id | Version 2 | Utilities |
| DLV - transaction_value | ecommerce.value | Version 2 | Utilities |
| DLV - currency | ecommerce.currency | Version 2 | Utilities |
| DLV - items | ecommerce.items | Version 2 | Utilities |
| DLV - tax | ecommerce.tax | Version 2 | Utilities |
| DLV - shipping | ecommerce.shipping | Version 2 | Utilities |

**Setting for all**: Set Default Value to blank (leave empty). Do NOT check "Set default value."

### Constant Variables (3)

For each, go to Variables   User-Defined Variables   New   Constant.

| Variable Name | Value | Folder |
|--------------|-------|--------|
| Const - GA4 Measurement ID | G-XXXXXXXXXX (your actual GA4 ID) | Utilities |
| Const - Google Ads Conversion ID | 123456789 (your actual conversion ID) | Utilities |
| Const - Google Ads Conversion Label | AbCdEfGhIjKlMn (your actual label) | Utilities |

### Custom JavaScript Variable (1)

Go to Variables   User-Defined Variables   New   Custom JavaScript.

**Name**: CJS - Transaction ID Validator
**Folder**: Utilities

```javascript
function() {
  var txId = {{DLV - transaction_id}};
  if (!txId || txId === '' || txId === 'undefined' || txId === 'null') {
    return 'FALLBACK-' + new Date().getTime() + '-' + Math.random().toString(36).substr(2, 9);
  }
  return String(txId);
}
```

**What this does**: If your data layer fails to push a transaction ID (which breaks deduplication and causes duplicate conversions), this generates a unique fallback. Fix your data layer to push real order IDs - this is a safety net.

---

## Step 3: Create Triggers (6 Total)

For each, go to Triggers   New.

### Trigger 1: All Pages

| Setting | Value |
|---------|-------|
| **Name** | Trigger - All Pages |
| **Type** | Page View |
| **Fires on** | All Page Views |
| **Folder** | Triggers |

### Trigger 2: DOM Ready

| Setting | Value |
|---------|-------|
| **Name** | Trigger - DOM Ready |
| **Type** | DOM Ready |
| **Fires on** | All DOM Ready Events |
| **Folder** | Triggers |

### Trigger 3: Purchase Event

| Setting | Value |
|---------|-------|
| **Name** | Trigger - Purchase Event |
| **Type** | Custom Event |
| **Event name** | purchase |
| **Fires on** | Some Custom Events |
| **Condition** | DLV - transaction_id   does not equal   (leave blank) |
| **Folder** | Triggers |

**Why the condition**: This prevents the conversion from firing if the data layer push is missing a transaction_id. A conversion without a transaction_id cannot be deduplicated and will cause double-counting.

### Trigger 4: Add to Cart

| Setting | Value |
|---------|-------|
| **Name** | Trigger - Add to Cart |
| **Type** | Custom Event |
| **Event name** | add_to_cart |
| **Fires on** | All Custom Events |
| **Folder** | Triggers |

### Trigger 5: Begin Checkout

| Setting | Value |
|---------|-------|
| **Name** | Trigger - Begin Checkout |
| **Type** | Custom Event |
| **Event name** | begin_checkout |
| **Fires on** | All Custom Events |
| **Folder** | Triggers |

### Trigger 6: View Item

| Setting | Value |
|---------|-------|
| **Name** | Trigger - View Item |
| **Type** | Custom Event |
| **Event name** | view_item |
| **Fires on** | All Custom Events |
| **Folder** | Triggers |

---

## Step 4: Create Tags (8 Total)

### Tag 1: GA4 - Config

| Setting | Value |
|---------|-------|
| **Name** | GA4 - Config |
| **Type** | Google Analytics: GA4 Configuration |
| **Measurement ID** | {{Const - GA4 Measurement ID}} |
| **Send a page view** | Checked |
| **Firing trigger** | Trigger - All Pages |
| **Folder** | GA4 |

**Fields to Set** (optional but recommended):

| Field Name | Value |
|-----------|-------|
| debug_mode | false |
| send_page_view | true |

**If using cross-domain tracking**, add under Fields to Set:

| Field Name | Value |
|-----------|-------|
| linker | {"domains": ["yourdomain.com", "checkout.yourdomain.com"]} |

### Tag 2: GA4 - View Item Event

| Setting | Value |
|---------|-------|
| **Name** | GA4 - View Item |
| **Type** | Google Analytics: GA4 Event |
| **Configuration Tag** | GA4 - Config |
| **Event Name** | view_item |
| **Firing trigger** | Trigger - View Item |
| **Folder** | GA4 |

**Event Parameters**:

| Parameter Name | Value |
|---------------|-------|
| currency | {{DLV - currency}} |
| value | {{DLV - transaction_value}} |
| items | {{DLV - items}} |

### Tag 3: GA4 - Add to Cart Event

| Setting | Value |
|---------|-------|
| **Name** | GA4 - Add to Cart |
| **Type** | Google Analytics: GA4 Event |
| **Configuration Tag** | GA4 - Config |
| **Event Name** | add_to_cart |
| **Firing trigger** | Trigger - Add to Cart |
| **Folder** | GA4 |

**Event Parameters**: Same as View Item (currency, value, items).

### Tag 4: GA4 - Begin Checkout Event

| Setting | Value |
|---------|-------|
| **Name** | GA4 - Begin Checkout |
| **Type** | Google Analytics: GA4 Event |
| **Configuration Tag** | GA4 - Config |
| **Event Name** | begin_checkout |
| **Firing trigger** | Trigger - Begin Checkout |
| **Folder** | GA4 |

**Event Parameters**: Same as View Item (currency, value, items).

### Tag 5: GA4 - Purchase Event

| Setting | Value |
|---------|-------|
| **Name** | GA4 - Purchase Event |
| **Type** | Google Analytics: GA4 Event |
| **Configuration Tag** | GA4 - Config |
| **Event Name** | purchase |
| **Firing trigger** | Trigger - Purchase Event |
| **Folder** | GA4 |

**Event Parameters**:

| Parameter Name | Value |
|---------------|-------|
| transaction_id | {{CJS - Transaction ID Validator}} |
| value | {{DLV - transaction_value}} |
| currency | {{DLV - currency}} |
| tax | {{DLV - tax}} |
| shipping | {{DLV - shipping}} |
| items | {{DLV - items}} |

### Tag 6: Google Ads - Conversion

| Setting | Value |
|---------|-------|
| **Name** | Google Ads - Conversion |
| **Type** | Google Ads Conversion Tracking |
| **Conversion ID** | {{Const - Google Ads Conversion ID}} |
| **Conversion Label** | {{Const - Google Ads Conversion Label}} |
| **Conversion Value** | {{DLV - transaction_value}} |
| **Currency Code** | {{DLV - currency}} |
| **Transaction ID** | {{CJS - Transaction ID Validator}} |
| **Firing trigger** | Trigger - Purchase Event |
| **Folder** | Google Ads |

**Enhanced Conversions**: Enabled. Under "Include user-provided data from your website", select "New data source"   "Data Layer" and map:

| User Data Field | Data Layer Path |
|----------------|----------------|
| Email | user_data.email |
| Phone Number | user_data.phone_number |
| First Name | user_data.address.first_name |
| Last Name | user_data.address.last_name |
| Street | user_data.address.street |
| City | user_data.address.city |
| Region | user_data.address.region |
| Postal Code | user_data.address.postal_code |
| Country | user_data.address.country |

### Tag 7: Google Ads - Remarketing

| Setting | Value |
|---------|-------|
| **Name** | Google Ads - Remarketing |
| **Type** | Google Ads Remarketing |
| **Conversion ID** | {{Const - Google Ads Conversion ID}} |
| **Firing trigger** | Trigger - All Pages |
| **Folder** | Google Ads |

### Tag 8: Conversion Linker

| Setting | Value |
|---------|-------|
| **Name** | Conversion Linker |
| **Type** | Conversion Linker |
| **Enable linking on all page URLs** | Checked |
| **Firing trigger** | Trigger - All Pages |
| **Folder** | Google Ads |

---

## Step 5: Tag Firing Order

Tags should fire in this sequence. GTM handles most ordering automatically, but verify:

| Order | Tag | Trigger | Why This Order |
|-------|-----|---------|---------------|
| 1 | Conversion Linker | All Pages | Must fire first to set cookies for attribution |
| 2 | GA4 - Config | All Pages | Must fire before any GA4 events |
| 3 | Google Ads - Remarketing | All Pages | Builds audience pools |
| 4 | GA4 - View Item | view_item event | Fires on product pages |
| 5 | GA4 - Add to Cart | add_to_cart event | Fires on cart action |
| 6 | GA4 - Begin Checkout | begin_checkout event | Fires at checkout |
| 7 | GA4 - Purchase Event | purchase event | Fires on confirmation |
| 8 | Google Ads - Conversion | purchase event | Fires on confirmation |

**Tag sequencing for purchase**: To ensure GA4 Purchase fires before Google Ads Conversion:

1. Open Google Ads - Conversion tag
2. Go to Advanced Settings   Tag Sequencing
3. Check "Fire a tag before Google Ads - Conversion fires"
4. Select: GA4 - Purchase Event
5. Check "Don't fire Google Ads - Conversion if GA4 - Purchase Event fails"

---

## Step 6: Debug / Preview Checklist

After creating all tags, triggers, and variables:

### Test Sequence

1. Click Preview in GTM (opens Tag Assistant)
2. Navigate to a product page on your site

**Check on product page**:
- [ ] Conversion Linker fires (Tag Assistant shows green)
- [ ] GA4 - Config fires
- [ ] Google Ads - Remarketing fires
- [ ] GA4 - View Item fires
- [ ] Variables populate: currency, value, items

3. Add a product to cart

**Check on add to cart**:
- [ ] GA4 - Add to Cart fires
- [ ] Variables: currency, value, items all populated

4. Go to checkout

**Check on checkout**:
- [ ] GA4 - Begin Checkout fires
- [ ] Variables: currency, value, items all populated

5. Complete a test purchase

**Check on confirmation page**:
- [ ] GA4 - Purchase Event fires (exactly ONCE)
- [ ] Google Ads - Conversion fires (exactly ONCE)
- [ ] transaction_id is populated (not FALLBACK-)
- [ ] value matches order total
- [ ] currency is correct

6. Refresh the confirmation page

**Check on refresh**:
- [ ] Tags do NOT fire again (deduplication working)

7. Hit the back button and return to confirmation

**Check on back-button return**:
- [ ] Tags do NOT fire again

### Common Issues

| Issue | Cause | Fix |
|-------|-------|-----|
| Tags fire twice on purchase | Data layer pushes twice | Add `dataLayer.push({ ecommerce: null })` before each push |
| transaction_id shows FALLBACK- | Data layer not pushing transaction_id | Fix data layer implementation (see Data Layer Reference) |
| Value shows $0 or blank | Wrong data layer path | Check ecommerce.value path in GTM Preview |
| GA4 events not appearing in GA4 | Wrong Measurement ID | Verify Const - GA4 Measurement ID matches GA4 Admin |
| Conversion not appearing in Google Ads | Wrong Conversion ID/Label | Verify constants match Google Ads   Goals   Conversions |

---

## Step 7: Publish

After all checks pass:

1. Click Submit in GTM
2. Name the version: "v1.0 - Complete Tracking Setup [DATE]"
3. Add description: "GA4 config + 4 e-commerce events + Google Ads conversion + remarketing + conversion linker"
4. Click Publish

### Post-Publish Verification

Wait 24-48 hours, then verify:

- [ ] GA4 Realtime shows events firing
- [ ] Google Ads   Goals   Conversions shows recent conversions
- [ ] Test order appears in both GA4 and Google Ads within 4 hours
- [ ] Enhanced Conversions status shows "Active" in Google Ads

---

*This setup guide recreates the container described in Module 2 of the Complete Tracking Fix Playbook. For detailed explanations of why each configuration was chosen, refer to Module 2.*


The AI-Powered Google Ads Workflow System

47% higher CTR. Not from better AI - from better instructions.

# 12-Angle Messaging Classification Reference Card

**Product**: The Competitor Intelligence Playbook
**Purpose**: Quick-reference for classifying competitor ads into the 12 messaging angles. Use during Phase 3 (DECODE) of the Competitor Decode System.

---

## How to Use This Card

For each competitor ad:
1. Read the ad copy (headlines + descriptions)
2. Scan for signal words from each angle below
3. Count signals: 1 signal = 0.33 confidence, 2 signals = 0.67, 3+ signals = 1.0
4. Apply the weight multiplier
5. Highest weighted score = primary angle

---

## The 12 Angles

### 1. Price/Value (Weight: 1.0)

**Signal words**: discount, % off, $-off, save, deal, affordable, budget, cheap, lowest price, best value, clearance, markdown, sale price, reduced, value pack

**Example ad**: "30% Off All Hammocks - Today Only"

**Why brands use it**: Conversion driver for price-sensitive markets. Dominant in commodity categories.

---

### 2. Quality/Premium (Weight: 1.0)

**Signal words**: premium, luxury, handcrafted, artisan, professional-grade, best-in-class, finest, superior, award-winning, top-tier, elite, high-end, mastercraft, refined

**Example ad**: "Handcrafted Premium Hammocks - Award-Winning Design"

**Why brands use it**: Justifies higher prices. Attracts quality-conscious buyers.

---

### 3. Urgency/Scarcity (Weight: 1.2x)

**Signal words**: limited, hurry, last chance, ending soon, only X left, selling fast, today only, final hours, while supplies last, don't miss, act now, countdown, expires, closing

**Example ad**: "Final Hours - 40% Off Ends Tonight"

**Why brands use it**: Drives immediate conversion. Higher weight because urgency signals compress purchase timeline.

---

### 4. Social Proof (Weight: 1.1x)

**Signal words**: reviews, stars, rated, trusted by, best-selling, #1, customer favorite, X+ customers, recommended, verified, top-rated, people love, popular choice

**Example ad**: "5,000+ 5-Star Reviews - America's #1 Camping Hammock"

**Why brands use it**: Reduces purchase anxiety. Higher weight because proof signals accelerate trust.

---

### 5. Authority/Expertise (Weight: 1.0)

**Signal words**: official, certified, since [year], X+ years, specialist, industry leader, authorized, professional, expert-recommended, accredited, established, licensed

**Example ad**: "Official Retailer Since 2005 - Certified Outdoor Specialists"

**Why brands use it**: Establishes credibility in categories where expertise matters.

---

### 6. Convenience/Ease (Weight: 0.9x)

**Signal words**: easy, simple, quick, instant, hassle-free, one-click, delivered, fast shipping, no setup, plug and play, ready to use, effortless, streamlined

**Example ad**: "Free 2-Day Shipping - Easy 60-Day Returns"

**Why brands use it**: Removes friction. Lower weight because convenience rarely drives primary purchase decision.

---

### 7. Guarantee/Trust (Weight: 1.1x)

**Signal words**: guarantee, warranty, money-back, risk-free, secure, satisfaction, refund, protected, insured, no-risk, backed by, promise, assured, peace of mind

**Example ad**: "Lifetime Warranty - 100% Satisfaction Guaranteed"

**Why brands use it**: Eliminates purchase risk. Higher weight because trust signals reduce cart abandonment.

---

### 8. Newness/Innovation (Weight: 0.9x)

**Signal words**: new, latest, 2026, just launched, introducing, next-gen, updated, improved, redesigned, breakthrough, cutting-edge, first-ever, modern, fresh

**Example ad**: "Introducing the 2026 UltraLight Collection"

**Why brands use it**: Captures early adopters and trend-followers. Lower weight because newness fades quickly.

---

### 9. Personalization (Weight: 0.8x)

**Signal words**: custom, personalized, tailored, made for you, your style, build your own, choose your, configure, bespoke, unique to you, individual, curated

**Example ad**: "Build Your Custom Hammock - Choose Colors, Size, Features"

**Why brands use it**: Appeals to buyers wanting unique products. Lowest weight because it requires product capability.

---

### 10. Comparison (Weight: 1.0)

**Signal words**: vs, versus, compared to, better than, alternative, switch from, why choose, outperforms, beats, side-by-side, competitor names, replace

**Example ad**: "Better Than ENO? Compare Side-by-Side"

**Why brands use it**: Intercepts comparison shoppers. Effective in crowded markets.

---

### 11. Free Offer (Weight: 1.2x)

**Signal words**: free, complimentary, no cost, free trial, free shipping, free gift with, bonus, included, at no charge, on the house, gratis, no fee

**Example ad**: "Free Carry Bag with Every Hammock Purchase"

**Why brands use it**: "Free" is the most powerful word in advertising. Highest weight alongside urgency.

---

### 12. Exclusivity (Weight: 1.0)

**Signal words**: exclusive, members-only, VIP, limited edition, rare, one-of-a-kind, invite-only, insider, select, private, first access, collector's, restricted

**Example ad**: "Exclusive Member Pricing - VIP Access Only"

**Why brands use it**: Creates in-group identity. Effective for brand-loyal audiences.

---

## Scoring Worksheet

| Ad Text | Angle | Signals Found | Raw Score | Weight | Final Score |
|---------|-------|---------------|-----------|--------|-------------|
| _______ | Price/Value | _____________ | ___ | 1.0 | ___ |
| | Quality/Premium | _____________ | ___ | 1.0 | ___ |
| | Urgency/Scarcity | _____________ | ___ | 1.2 | ___ |
| | Social Proof | _____________ | ___ | 1.1 | ___ |
| | Authority/Expertise | _____________ | ___ | 1.0 | ___ |
| | Convenience/Ease | _____________ | ___ | 0.9 | ___ |
| | Guarantee/Trust | _____________ | ___ | 1.1 | ___ |
| | Newness/Innovation | _____________ | ___ | 0.9 | ___ |
| | Personalization | _____________ | ___ | 0.8 | ___ |
| | Comparison | _____________ | ___ | 1.0 | ___ |
| | Free Offer | _____________ | ___ | 1.2 | ___ |
| | Exclusivity | _____________ | ___ | 1.0 | ___ |
| | **Primary Angle** | | | | **___** |

---

## CTA Type Classification

Also classify the call-to-action for funnel position analysis:

| CTA Type | Signal Phrases | Funnel |
|----------|---------------|--------|
| Shop | shop, buy, order, purchase, add to cart | BOFU |
| Learn | learn, discover, explore, find out, see | TOFU |
| Try | try, start, begin, test, experience | MOFU |
| Compare | compare, view, browse, check | MOFU |
| Contact | call, contact, speak, schedule | BOFU (DFY) |
| Sign Up | sign up, register, join, subscribe | MOFU |
| Download | download, get app, install | MOFU |
| Request | request quote, book, reserve | BOFU |

---

## From Individual Ads to Competitor Profiles

After scoring 20-40 ads per competitor, aggregate:

| Metric | Competitor A | Competitor B | Competitor C |
|--------|-------------|-------------|-------------|
| Top angle (% of ads) | _________ | _________ | _________ |
| 2nd angle (% of ads) | _________ | _________ | _________ |
| 3rd angle (% of ads) | _________ | _________ | _________ |
| Avg confidence (top angle) | _________ | _________ | _________ |
| Dominant CTA type | _________ | _________ | _________ |
| Funnel focus | _________ | _________ | _________ |

---

---

## Worked Example

**Scenario**: Classifying 3 competitor ads for the hammock market.

### Ad 1: "40% Off Premium Camping Hammocks - Free Shipping Today Only"

| Angle | Signals Found | Raw Score | Weight | Final Score |
|-------|---------------|-----------|--------|-------------|
| Price/Value | "40% off" | 1.0 | 1.0 | **1.0** |
| Urgency/Scarcity | "today only" | 1.0 | 1.2 | **1.2** |
| Free Offer | "free shipping" | 1.0 | 1.2 | **1.2** |
| Quality/Premium | "premium" | 0.33 | 1.0 | 0.33 |
| All others | - | 0 | - | 0 |

**Primary angle**: Free Offer or Urgency/Scarcity (tied at 1.2). Tiebreaker: "Free shipping" is the primary draw, urgency amplifies it. **Primary: Free Offer. Secondary: Urgency/Scarcity.**

**CTA type**: "Shop" -  BOFU

### Ad 2: "5,000+ 5-Star Reviews - America's #1 Camping Hammock Since 2016"

| Angle | Signals Found | Raw Score | Weight | Final Score |
|-------|---------------|-----------|--------|-------------|
| Social Proof | "5,000+", "5-star", "#1" | 1.0 (3 signals) | 1.1 | **1.1** |
| Authority/Expertise | "since 2016" | 0.33 | 1.0 | 0.33 |
| All others | - | 0 | - | 0 |

**Primary angle**: Social Proof (1.1). Clear winner - 3 signals, all social proof.

**CTA type**: "Learn" -  TOFU

### Ad 3: "Better Than ENO? Compare Our Hammock Side-by-Side"

| Angle | Signals Found | Raw Score | Weight | Final Score |
|-------|---------------|-----------|--------|-------------|
| Comparison | "better than", "compare", "side-by-side" | 1.0 (3 signals) | 1.0 | **1.0** |
| All others | - | 0 | - | 0 |

**Primary angle**: Comparison (1.0). Clear single-angle ad targeting competitor shoppers.

**CTA type**: "Compare" -  MOFU

### Aggregating Across 30 Ads (Competitor: HammockPro)

After scoring all 30 ads:

| Metric | Value |
|--------|-------|
| Top angle (% of ads) | Social Proof (37%) |
| 2nd angle (% of ads) | Price/Value (23%) |
| 3rd angle (% of ads) | Quality/Premium (17%) |
| Avg confidence (top angle) | 0.89 |
| Dominant CTA type | Shop (BOFU) |
| Funnel focus | 60% BOFU, 25% MOFU, 15% TOFU |

**Interpretation**: HammockPro leads with social proof (review volume is their moat) and uses price as a secondary lever. They're primarily BOFU-focused - they want to close sales, not educate. Opportunity: they're weak on TOFU content and comparison pages.

---

## Your Turn

Score 20-40 ads for each priority competitor:

1. Read the ad copy (headlines + descriptions)
2. Scan for signal words from each angle
3. Count signals: 1 = 0.33, 2 = 0.67, 3+ = 1.0
4. Apply weight multiplier
5. Record primary angle

After scoring all ads, aggregate into the competitor profile table.

---

## Interpretation Guide

| Competitor Profile Pattern | What It Means | Your Opportunity |
|---------------------------|--------------|-----------------|
| 50%+ of ads use Price/Value | They're competing on price - commodity positioning | Differentiate on quality, uniqueness, or social proof |
| Social Proof is dominant but you have more reviews | They're using proof but yours is stronger | Match their angle with bigger numbers |
| No Comparison ads at all | They're not defending against competitive searches | Build comparison pages to capture their brand searches |
| Heavy Urgency/Scarcity (30%+) | They rely on manufactured urgency | Counter with authority and trust signals (more sustainable) |
| Balanced across 4+ angles | Sophisticated advertiser testing multiple approaches | Look for the 1-2 angles they DON'T use - those are your blue ocean |
| 80%+ BOFU CTA types | They're only targeting ready-to-buy traffic | Build TOFU and MOFU content to capture customers before they're in-market |

*From: The Competitor Intelligence Playbook*
*Competitor Decode System - Phase 3: DECODE*


# Competitive Analysis Worksheet

**Product**: The Competitor Intelligence Playbook
**Purpose**: Complete fill-in worksheet for running the Competitor Decode System on your market. Follow phases 1-5 in order.

---

## Worked Example: Organic Skincare Brand ($20K/month Google Ads)

### Phase 1 Example: DISCOVER

**Step 1: Assumed Competitors**

| # | Competitor | Domain | Why |
|---|-----------|--------|-----|
| 1 | Drunk Elephant | drunkelephant.com | Same price range, clean ingredients |
| 2 | The Ordinary | theordinary.com | Competes on active ingredients |
| 3 | Cetaphil | cetaphil.com | Mass market, different tier |
| 4 | Paula's Choice | paulaschoice.com | Science-backed positioning |
| 5 | Herbivore Botanicals | herbivorebotanicals.com | Same "natural" positioning |

**Step 2: Auction Insights Reality Check**

| Competitor | Impression Share | Overlap Rate | Position Above Rate | Actual Bidding? |
|-----------|-----------------|-------------|--------------------|----|
| Drunk Elephant | 52% | 68% | 45% | [x] Yes |
| The Ordinary | 71% | 82% | 62% | [x] Yes |
| Cetaphil | 12% | 15% | 8% | [ ] Not really - different keywords |
| Paula's Choice | 48% | 55% | 38% | [x] Yes |
| Herbivore Botanicals | 22% | 35% | 18% | [x] Yes |

**Surprise competitors** (bidding but not on your assumed list):

| Competitor | Domain | Impression Share |
|-----------|--------|-----------------|
| Versed Skincare | versedskin.com | 38% |
| Naturium | naturium.com | 44% |

**Step 3: Final Selection** - Dropped Cetaphil (low overlap), added Versed + Naturium:

| Priority | Competitor | Domain | Why they matter |
|----------|-----------|--------|----------------|
| 1 | The Ordinary | theordinary.com | 82% overlap, 62% position above - biggest threat |
| 2 | Naturium | naturium.com | Surprise competitor, 44% impression share |
| 3 | Drunk Elephant | drunkelephant.com | Same tier, 68% overlap |

---

## Your Turn

## Phase 1: DISCOVER - Identify Real Competitors

### Step 1: List Your Assumed Competitors

| # | Competitor | Domain | Why you think they're a competitor |
|---|-----------|--------|-----------------------------------|
| 1 | _________________ | _________________ | _________________ |
| 2 | _________________ | _________________ | _________________ |
| 3 | _________________ | _________________ | _________________ |
| 4 | _________________ | _________________ | _________________ |
| 5 | _________________ | _________________ | _________________ |

### Step 2: Validate with Data

Check Google Ads Auction Insights for actual bidding competitors:

| Competitor | Impression Share | Overlap Rate | Position Above Rate | Actual Bidding? |
|-----------|-----------------|-------------|--------------------|----|
| _________________ | ____% | ____% | ____% | [ ] Yes [ ] No |
| _________________ | ____% | ____% | ____% | [ ] Yes [ ] No |
| _________________ | ____% | ____% | ____% | [ ] Yes [ ] No |
| _________________ | ____% | ____% | ____% | [ ] Yes [ ] No |
| _________________ | ____% | ____% | ____% | [ ] Yes [ ] No |

**Surprise competitors** (bidding but not on your assumed list):

| Competitor | Domain | Impression Share |
|-----------|--------|-----------------|
| _________________ | _________________ | ____% |
| _________________ | _________________ | ____% |

### Step 3: Final Competitor Selection (3-5 max)

| Priority | Competitor | Domain | Why they matter |
|----------|-----------|--------|----------------|
| 1 | _________________ | _________________ | _________________ |
| 2 | _________________ | _________________ | _________________ |
| 3 | _________________ | _________________ | _________________ |
| 4 | _________________ | _________________ | _________________ |
| 5 | _________________ | _________________ | _________________ |

---

## Phase 2: EXTRACT - Pull Ad Inventory

For each competitor, go to Google Ads Transparency Center and document:

### Competitor 1: _________________

| Ad # | Platform | Headline | Description (first line) | Days Running | Evergreen? |
|------|----------|---------|------------------------|-------------|-----------|
| 1 | _______ | _________________ | _________________ | ____ | [ ] |
| 2 | _______ | _________________ | _________________ | ____ | [ ] |
| 3 | _______ | _________________ | _________________ | ____ | [ ] |
| 4 | _______ | _________________ | _________________ | ____ | [ ] |
| 5 | _______ | _________________ | _________________ | ____ | [ ] |
| 6 | _______ | _________________ | _________________ | ____ | [ ] |
| 7 | _______ | _________________ | _________________ | ____ | [ ] |
| 8 | _______ | _________________ | _________________ | ____ | [ ] |
| 9 | _______ | _________________ | _________________ | ____ | [ ] |
| 10 | _______ | _________________ | _________________ | ____ | [ ] |

**Total ads found**: _____ | **Evergreen (180+ days)**: _____

**Platforms**: [ ] Search | [ ] Shopping | [ ] Display | [ ] YouTube

*(Repeat for each competitor - use separate sheets or copy this section)*

### Longevity Analysis

Ads running 180+ days are proven winners. Document them separately:

| Competitor | Ad Headline | Days Running | Primary Angle | Landing Page |
|-----------|------------|-------------|--------------|-------------|
| _________ | _________________ | ____ | _________________ | _________________ |
| _________ | _________________ | ____ | _________________ | _________________ |
| _________ | _________________ | ____ | _________________ | _________________ |
| _________ | _________________ | ____ | _________________ | _________________ |
| _________ | _________________ | ____ | _________________ | _________________ |

---

## Phase 3: DECODE - Analyze Messaging

### Angle Classification Summary

For each competitor, tally the 12-angle distribution (use the 12-Angle Classification Reference Card):

| Angle | Comp 1: _____ | Comp 2: _____ | Comp 3: _____ | Market Avg |
|-------|-------------|-------------|-------------|-----------|
| 1. Price/Value | ____% | ____% | ____% | ____% |
| 2. Quality/Premium | ____% | ____% | ____% | ____% |
| 3. Urgency/Scarcity | ____% | ____% | ____% | ____% |
| 4. Social Proof | ____% | ____% | ____% | ____% |
| 5. Authority/Expertise | ____% | ____% | ____% | ____% |
| 6. Convenience/Ease | ____% | ____% | ____% | ____% |
| 7. Guarantee/Trust | ____% | ____% | ____% | ____% |
| 8. Newness/Innovation | ____% | ____% | ____% | ____% |
| 9. Personalization | ____% | ____% | ____% | ____% |
| 10. Comparison | ____% | ____% | ____% | ____% |
| 11. Free Offer | ____% | ____% | ____% | ____% |
| 12. Exclusivity | ____% | ____% | ____% | ____% |

### A/B Test Detection

| Competitor | Test Type | Variant A | Variant B | Likely Winner | Learning |
|-----------|----------|-----------|-----------|--------------|---------|
| _________ | _______ | _________________ | _________________ | _________ | _________________ |
| _________ | _______ | _________________ | _________________ | _________ | _________________ |
| _________ | _______ | _________________ | _________________ | _________ | _________________ |

### Landing Page Intelligence

| Competitor | Page Type | Value Prop | Trust Signals | Social Proof Format | Pricing Display |
|-----------|----------|-----------|--------------|-------------------|----------------|
| _________ | _______ | _________ | ____________ | _________________ | _________________ |
| _________ | _______ | _________ | ____________ | _________________ | _________________ |
| _________ | _______ | _________ | ____________ | _________________ | _________________ |

---

## Phase 4: MAP - Build Messaging Matrix

### Worked Example: Skincare Market Saturation

| Angle | Market Usage | Classification | Your Current Usage | Gap? |
|-------|-------------|---------------|-------------------|------|
| Price/Value | 55% | Red Ocean | 40% | |
| Quality/Premium | 45% | Red Ocean | 60% | |
| Urgency/Scarcity | 30% | Contested | 20% | |
| Social Proof | 35% | Contested | 15% | [x] Under-using |
| Authority/Expertise | 20% | Contested | 5% | [x] Major gap |
| Convenience/Ease | 8% | Blue Ocean | 0% | [x] Blue opportunity |
| Guarantee/Trust | 25% | Contested | 10% | [x] Under-using |
| Newness/Innovation | 18% | Contested | 30% | |
| Personalization | 5% | Blue Ocean | 0% | [x] Blue opportunity |
| Comparison | 12% | Blue Ocean | 0% | [x] Blue opportunity |
| Free Offer | 22% | Contested | 15% | |
| Exclusivity | 3% | Blue Ocean | 0% | [x] Blue opportunity |

**Insight**: Everyone competes on Price and Quality (Red Ocean). Three Blue Ocean angles - Convenience, Personalization, and Exclusivity - are barely used by anyone. Authority/Expertise is contested but you're barely using it despite having dermatologist partnerships.

---

### Your Turn: Market Saturation by Angle

| Angle | Market Usage | Classification | Your Current Usage | Gap? |
|-------|-------------|---------------|-------------------|------|
| Price/Value | ____% | [ ] Red [ ] Contested [ ] Blue | ____% | [ ] |
| Quality/Premium | ____% | [ ] Red [ ] Contested [ ] Blue | ____% | [ ] |
| Urgency/Scarcity | ____% | [ ] Red [ ] Contested [ ] Blue | ____% | [ ] |
| Social Proof | ____% | [ ] Red [ ] Contested [ ] Blue | ____% | [ ] |
| Authority/Expertise | ____% | [ ] Red [ ] Contested [ ] Blue | ____% | [ ] |
| Convenience/Ease | ____% | [ ] Red [ ] Contested [ ] Blue | ____% | [ ] |
| Guarantee/Trust | ____% | [ ] Red [ ] Contested [ ] Blue | ____% | [ ] |
| Newness/Innovation | ____% | [ ] Red [ ] Contested [ ] Blue | ____% | [ ] |
| Personalization | ____% | [ ] Red [ ] Contested [ ] Blue | ____% | [ ] |
| Comparison | ____% | [ ] Red [ ] Contested [ ] Blue | ____% | [ ] |
| Free Offer | ____% | [ ] Red [ ] Contested [ ] Blue | ____% | [ ] |
| Exclusivity | ____% | [ ] Red [ ] Contested [ ] Blue | ____% | [ ] |

**Classification**:
- **Red Ocean**: 40%+ market usage - oversaturated, expensive to compete
- **Contested**: 15-39% - active competition, winnable with differentiation
- **Blue Ocean**: 0-14% - underused, positioning opportunity

### Blue Ocean Differentiation Score

| Dimension | Score (0-25) | Notes |
|-----------|-------------|-------|
| Messaging Uniqueness | ___/25 | How many Blue Ocean angles can you credibly claim? |
| Keyword Opportunity | ___/25 | High-value keywords competitors don't bid on? |
| Offer Differentiation | ___/25 | Can you offer something no competitor does? |
| Visual Distinctiveness | ___/25 | Can your creative look different from market norms? |
| **Blue Ocean Score** | **___/100** | |

| Score | Interpretation |
|-------|---------------|
| 80-100 | Massive Blue Ocean opportunity. Act immediately. |
| 60-79 | Strong opportunity. Build campaigns around 2-3 Blue Ocean angles. |
| 40-59 | Moderate opportunity. Mix Blue Ocean with contested angles. |
| 20-39 | Limited opportunity. Focus on contested angles with differentiation. |
| 0-19 | Saturated market. Compete on execution, not positioning. |

---

## Phase 5: COUNTER - Build Response Strategy

### Top 3 Positioning Opportunities

| Priority | Angle | Market Usage | Your Strategy | Counter-Ad Headline Concept |
|----------|-------|-------------|--------------|---------------------------|
| 1 | _________________ | ____% | _________________ | _________________ |
| 2 | _________________ | ____% | _________________ | _________________ |
| 3 | _________________ | ____% | _________________ | _________________ |

### Competitor Blind Spots

| Competitor | What they're NOT saying | Your opportunity |
|-----------|----------------------|-----------------|
| _________ | _________________ | _________________ |
| _________ | _________________ | _________________ |
| _________ | _________________ | _________________ |

### Funnel Coverage Gaps

| Funnel Stage | Competitor Coverage | Gap Identified | Your Campaign Plan |
|-------------|-------------------|---------------|-------------------|
| TOFU | _________________ | _________________ | _________________ |
| MOFU | _________________ | _________________ | _________________ |
| BOFU | _________________ | _________________ | _________________ |

### Action Items

| # | Action | Priority | Deadline | Status |
|---|--------|----------|----------|--------|
| 1 | _________________ | [ ] High [ ] Med [ ] Low | _________ | [ ] |
| 2 | _________________ | [ ] High [ ] Med [ ] Low | _________ | [ ] |
| 3 | _________________ | [ ] High [ ] Med [ ] Low | _________ | [ ] |
| 4 | _________________ | [ ] High [ ] Med [ ] Low | _________ | [ ] |
| 5 | _________________ | [ ] High [ ] Med [ ] Low | _________ | [ ] |

---

*From: The Competitor Intelligence Playbook*
*Competitor Decode System*


# Quarterly Competitive Review Checklist

**Product**: The Competitor Intelligence Playbook
**Purpose**: Systematic quarterly refresh of your competitive intelligence. Run every 90 days to catch shifts in competitor strategy, new market entrants, and evolving positioning opportunities.

---

## When to Run

- [ ] Q1 Review: January (post-holiday reset)
- [ ] Q2 Review: April (spring strategy shift)
- [ ] Q3 Review: July (back-to-school / H2 planning)
- [ ] Q4 Review: October (holiday / year-end planning)

**Date of this review**: _______________

**Previous review date**: _______________

---

## Section 1: Competitor Roster Check (15 minutes)

### Are your competitors still the same?

- [ ] Re-check Auction Insights for last 90 days
- [ ] Note any new competitors appearing with   10% impression share
- [ ] Note any competitors that disappeared or dropped below 5% impression share
- [ ] Search your top 10 keywords in incognito - who appears in Shopping/Search ads?

| Change | Competitor | Details |
|--------|-----------|---------|
| **New entrant** | _________________ | Impression share: ___%, First seen: _______ |
| **New entrant** | _________________ | Impression share: ___%, First seen: _______ |
| **Exited/declined** | _________________ | Previous share: ___%, Now: ___% |
| **Exited/declined** | _________________ | Previous share: ___%, Now: ___% |

### Updated Competitor Priority List

| Priority | Competitor | Change from last quarter |
|----------|-----------|------------------------|
| 1 | _________________ | [ ] Same [ ] New [ ] Moved up [ ] Moved down |
| 2 | _________________ | [ ] Same [ ] New [ ] Moved up [ ] Moved down |
| 3 | _________________ | [ ] Same [ ] New [ ] Moved up [ ] Moved down |
| 4 | _________________ | [ ] Same [ ] New [ ] Moved up [ ] Moved down |
| 5 | _________________ | [ ] Same [ ] New [ ] Moved up [ ] Moved down |

---

## Section 2: Ad Inventory Delta (30 minutes)

### What changed in their ads?

For each priority competitor, check Google Ads Transparency Center:

- [ ] Note new ads launched since last review
- [ ] Check if evergreen ads (180+ days) are still running
- [ ] Identify any ads that were paused/removed
- [ ] Check for new platforms (did they start YouTube ads? Display?)

### Competitor 1: _________________

| Metric | Last Quarter | This Quarter | Delta |
|--------|-------------|-------------|-------|
| Total active ads | _____ | _____ | _____ |
| Evergreen ads (180+ days) | _____ | _____ | _____ |
| New ads (last 90 days) | N/A | _____ | N/A |
| Platforms active | _________ | _________ | _____ |

**Notable new ads**: _____________________________________________

**Paused/removed ads**: _____________________________________________

### Competitor 2: _________________

| Metric | Last Quarter | This Quarter | Delta |
|--------|-------------|-------------|-------|
| Total active ads | _____ | _____ | _____ |
| Evergreen ads (180+ days) | _____ | _____ | _____ |
| New ads (last 90 days) | N/A | _____ | N/A |
| Platforms active | _________ | _________ | _____ |

**Notable new ads**: _____________________________________________

**Paused/removed ads**: _____________________________________________

### Competitor 3: _________________

| Metric | Last Quarter | This Quarter | Delta |
|--------|-------------|-------------|-------|
| Total active ads | _____ | _____ | _____ |
| Evergreen ads (180+ days) | _____ | _____ | _____ |
| New ads (last 90 days) | N/A | _____ | N/A |
| Platforms active | _________ | _________ | _____ |

**Notable new ads**: _____________________________________________

**Paused/removed ads**: _____________________________________________

---

## Section 3: Messaging Shift Analysis (20 minutes)

### Angle Distribution Delta

Compare current angle distribution to last quarter:

| Angle | Last Quarter Avg | This Quarter Avg | Shift | Signal |
|-------|-----------------|-----------------|-------|--------|
| Price/Value | ____% | ____% | ____% | _________________ |
| Quality/Premium | ____% | ____% | ____% | _________________ |
| Urgency/Scarcity | ____% | ____% | ____% | _________________ |
| Social Proof | ____% | ____% | ____% | _________________ |
| Authority/Expertise | ____% | ____% | ____% | _________________ |
| Convenience/Ease | ____% | ____% | ____% | _________________ |
| Guarantee/Trust | ____% | ____% | ____% | _________________ |
| Newness/Innovation | ____% | ____% | ____% | _________________ |
| Personalization | ____% | ____% | ____% | _________________ |
| Comparison | ____% | ____% | ____% | _________________ |
| Free Offer | ____% | ____% | ____% | _________________ |
| Exclusivity | ____% | ____% | ____% | _________________ |

**Significant shifts** (  10% change): _____________________________________________

**What does this tell you about market direction?**: _____________________________________________

---

## Section 4: Blue Ocean Score Reassessment (15 minutes)

### Updated Blue Ocean Score

| Dimension | Last Quarter | This Quarter | Delta |
|-----------|-------------|-------------|-------|
| Messaging Uniqueness | ___/25 | ___/25 | _____ |
| Keyword Opportunity | ___/25 | ___/25 | _____ |
| Offer Differentiation | ___/25 | ___/25 | _____ |
| Visual Distinctiveness | ___/25 | ___/25 | _____ |
| **Blue Ocean Score** | **___/100** | **___/100** | **_____** |

### Angle Reclassification

Any angles that changed status (Red/Contested/Blue)?

| Angle | Previous Status | Current Status | Implication |
|-------|----------------|---------------|-------------|
| _________________ | _________ | _________ | _________________ |
| _________________ | _________ | _________ | _________________ |
| _________________ | _________ | _________ | _________________ |

---

## Section 5: Keyword Gap Update (15 minutes)

- [ ] Re-run Auction Insights keyword overlap
- [ ] Check for new high-value keywords competitors bid on that you don't
- [ ] Verify your existing gap campaigns are still capturing the opportunity

| New Keyword Gap | Monthly SV | Competitor(s) Bidding | Est. CPC | Priority |
|----------------|-----------|----------------------|---------|---------|
| _________________ | _______ | _________________ | $______ | [ ] High [ ] Med [ ] Low |
| _________________ | _______ | _________________ | $______ | [ ] High [ ] Med [ ] Low |
| _________________ | _______ | _________________ | $______ | [ ] High [ ] Med [ ] Low |
| _________________ | _______ | _________________ | $______ | [ ] High [ ] Med [ ] Low |
| _________________ | _______ | _________________ | $______ | [ ] High [ ] Med [ ] Low |

---

## Section 6: Landing Page Changes (10 minutes)

- [ ] Re-visit top 3 competitor landing pages
- [ ] Note any redesigns, new offers, or changed value propositions
- [ ] Check for new trust signals, social proof, or conversion elements

| Competitor | What Changed | Impact on Your Strategy |
|-----------|-------------|----------------------|
| _________________ | _________________ | _________________ |
| _________________ | _________________ | _________________ |
| _________________ | _________________ | _________________ |

---

## Section 7: Your Response Plan

### Immediate Actions (This Week)

| # | Action | Reason |
|---|--------|--------|
| 1 | _________________ | _________________ |
| 2 | _________________ | _________________ |
| 3 | _________________ | _________________ |

### Campaign Adjustments (This Month)

| # | Campaign | Change | Expected Impact |
|---|---------|--------|----------------|
| 1 | _________________ | _________________ | _________________ |
| 2 | _________________ | _________________ | _________________ |
| 3 | _________________ | _________________ | _________________ |

### Strategic Shifts (This Quarter)

| # | Strategy | Blue Ocean Angle | Investment |
|---|---------|-----------------|-----------|
| 1 | _________________ | _________________ | _________________ |
| 2 | _________________ | _________________ | _________________ |

---

## Review Summary

| Metric | Value |
|--------|-------|
| Date of review | _________________ |
| Total time spent | _________________ |
| New competitors identified | _________________ |
| Competitors exited | _________________ |
| Significant messaging shifts | _________________ |
| New keyword gaps found | _________________ |
| Blue Ocean Score change | ___/100 -  ___/100 |
| Priority actions identified | _________________ |
| Next review date | _________________ |

---

---

## Worked Example

**Business**: DTC outdoor gear brand selling hammocks and camping accessories. Google Ads spend: $20K/month. Running Q2 review (April 2026).

### Section 1: Competitor Roster

Auction Insights (last 90 days) revealed:

| Change | Competitor | Details |
|--------|-----------|---------|
| **New entrant** | CampNest Co | Impression share: 14%, First seen: February 2026 |
| **Exited/declined** | OutdoorBasics | Previous share: 11%, Now: 3% |

| Priority | Competitor | Change from last quarter |
|----------|-----------|------------------------|
| 1 | HammockPro | [x] Same |
| 2 | CampNest Co | [x] New (entered at #2 by impression share) |
| 3 | WildRest | [x] Moved up (was #4) |
| 4 | GearVault | [x] Moved down (was #2) |
| 5 | TrailNest | [x] Same |

### Section 2: Ad Inventory Delta (Competitor 1: HammockPro)

| Metric | Last Quarter | This Quarter | Delta |
|--------|-------------|-------------|-------|
| Total active ads | 34 | 41 | +7 |
| Evergreen ads (180+ days) | 12 | 14 | +2 |
| New ads (last 90 days) | N/A | 9 | N/A |
| Platforms active | Search, Shopping | Search, Shopping, YouTube | +YouTube |

**Notable new ads**: Launched YouTube ads showing hammock setup tutorials. 3 new Shopping ads emphasizing "ultralight" ( 1lb) positioning.

**Paused/removed ads**: Removed their "family hammock" ads (the 3-person hammock line appears discontinued).

### Section 3: Messaging Shift (Key Finding)

| Angle | Last Quarter | This Quarter | Shift | Signal |
|-------|-------------|-------------|-------|--------|
| Price/Value | 35% | 22% | -13% | Moving upmarket |
| Quality/Premium | 18% | 31% | +13% | Repositioning as premium |
| Urgency/Scarcity | 12% | 8% | -4% | Less promotional |
| Social Proof | 20% | 24% | +4% | Doubling down on reviews |

**Significant shifts**: HammockPro shifted from price-led to quality-led messaging. 13-point swing from Price to Quality. They appear to be abandoning the budget segment.

**Market direction**: The budget hammock market is being vacated. CampNest (new entrant) is filling the price gap. Mid-market is getting crowded with quality claims.

### Section 7: Response Plan

**Immediate (This Week)**:
1. Add CampNest Co as a competitor monitoring target - they're growing fast
2. Add "ultralight" as an exact match keyword (HammockPro is bidding aggressively on this term)
3. Check if OutdoorBasics' decline means cheaper CPCs on their branded terms

**Campaign Adjustments (This Month)**:
1. Launch YouTube ads (HammockPro validated the channel)
2. Test "premium ultralight" positioning in 2 ad groups
3. Increase social proof in ad copy (competitors are stacking reviews)

**Strategic Shifts (This Quarter)**:
1. Build a comparison page: "[Brand] vs HammockPro" (they're now our closest competitor in the premium space)
2. Consider a budget-tier product to capture the gap OutdoorBasics left

---

## Your Turn

Run this checklist every 90 days. Set a calendar reminder for January, April, July, October. Allow 90 minutes for the full review.

Start with Section 1 (Roster Check - 15 min), then work through each section. The Response Plan (Section 7) is the most important output - don't skip it.

---

## Interpretation Guide

| Pattern | What It Means | Action |
|---------|--------------|--------|
| New competitor with 10%+ impression share overnight | They launched with significant budget - take seriously | Profile them immediately (run competitor decode) |
| Competitor shifted from price to quality messaging | They're moving upmarket, possibly testing premium positioning | Watch for 2 quarters - if it sticks, the budget segment is opening up |
| All competitors increasing social proof | Reviews and ratings are becoming table stakes for your category | Accelerate review collection and add aggregate proof to all ads |
| Your Blue Ocean Score dropped 10+ points | Competitors are copying your positioning | Find a new differentiator or double down on what's hardest to replicate |
| No changes across all competitors | Stable market - rare but possible | Don't over-react. Focus on your own optimization rather than competitive response |

*From: The Competitor Intelligence Playbook*
*Competitor Decode System - Quarterly Review Protocol*


# Bonus 1: Competitive Tracking Dashboard

**Format**: Google Sheets Template
**Standalone Value**: $97

---

## Overview

A pre-built Google Sheets dashboard for tracking competitor intelligence over time. Updates monthly to reveal competitive trends, messaging shifts, and positioning opportunities.

---

## Sheet Structure

### Sheet 1: Competitor Profiles

| Column | Description | Example |
|--------|-------------|---------|
| Domain | Competitor website | competitor.com |
| Brand Name | Display name | CompetitorCo |
| Advertiser ID | Google Ads ID (if known) | AD-12345 |
| Total Active Ads | Current ad count | 47 |
| Platform Distribution | Search/Shopping/Display/YouTube % | 48/26/17/9 |
| Primary Angle | Dominant messaging | Price/Value |
| Secondary Angle | Second strongest | Social Proof |
| Impression Share | From auction insights | 35% |
| Overlap Rate | Auction overlap with you | 78% |
| Threat Level | HIGH/MEDIUM/LOW | HIGH |
| Last Updated | Date of last analysis | 2026-02-18 |
| Notes | Strategic observations | Increasing urgency messaging |

### Sheet 2: Messaging Matrix (Monthly Snapshot)

Pivot table tracking angle percentages per competitor per month.

| Competitor | Month | Price | Quality | Urgency | Social | Authority | Guarantee | Personal | Compare | Free | Exclusive |
|-----------|-------|-------|---------|---------|--------|-----------|-----------|----------|---------|------|-----------|
| Comp A | Jan-26 | 62% | 12% | 28% | 41% | 8% | 8% | 3% | 0% | 15% | 2% |
| Comp A | Feb-26 | 55% | 18% | 32% | 41% | 10% | 8% | 5% | 0% | 12% | 2% |

**Conditional formatting**: Cells turn red when angle shifts 10%+ from previous month.

### Sheet 3: Evergreen Ad Tracker

Track ads running 90+ days with full copy documentation.

| Competitor | Platform | Ad Type | Headline | Description | CTA | Landing URL | First Seen | Days Active | Primary Angle | Score |
|-----------|----------|---------|----------|-------------|-----|-------------|------------|-------------|---------------|-------|
| Comp A | Search | Text | 30% Off Premium... | Handcrafted quality... | Shop Now | /sale | 2025-06-15 | 248 | Price + Quality | 0.85 |

### Sheet 4: A/B Test Log

| Competitor | Test Type | Variant A | Variant B | Variant C | Winner | Winner Longevity | Learning | Date Detected |
|-----------|-----------|-----------|-----------|-----------|--------|------------------|----------|---------------|
| Comp A | Headline | "Shop Premium..." | "Get Your..." | "Premium Deals..." | Variant A | 245 days | Shorter headlines win | 2026-01-15 |

### Sheet 5: Blue Ocean Score Tracker

Monthly scoring across 4 dimensions:

| Month | Messaging Score (0-25) | Keyword Score (0-25) | Offer Score (0-25) | Visual Score (0-25) | Total (0-100) | Rating |
|-------|------------------------|----------------------|--------------------|--------------------|---------------|--------|
| Jan-26 | 18 | 16 | 12 | 15 | 61 | Moderate Blue Ocean |
| Feb-26 | 20 | 18 | 15 | 19 | 72 | Strong Blue Ocean |

**Chart**: Line graph showing Blue Ocean score trend over time.

### Sheet 6: Keyword Opportunity Tracker

| Keyword | Search Volume | CPC | Competitors Bidding | Our Coverage | Opportunity Score | Priority | Status |
|---------|---------------|-----|---------------------|--------------|-------------------|----------|--------|
| hammock tent 2 person | 1,800 | $1.25 | 2 of 8 | NO | 85 | URGENT | Not started |

**Auto-sorting**: Highest opportunity score at top.

### Sheet 7: Counter-Ad Planning

| Target Competitor | Their Dominant Angle | Counter Angle | Our Differentiation Hook | Ad Headline Draft | Status | Results |
|-------------------|---------------------|---------------|--------------------------|-------------------|--------|---------|
| Comp A | Price/Value (62%) | Quality/Premium | Lifetime warranty | "Built to Last..." | Live | 3.2x ROAS |

### Sheet 8: Monthly Action Items

| Priority | Action | Source Insight | Expected Impact | Owner | Due Date | Status |
|----------|--------|---------------|-----------------|-------|----------|--------|
| HIGH | Target "hammock tent" keyword | Keyword gap (score: 85) | +$5K/mo revenue | - | 2026-03-01 | Pending |
| MEDIUM | Test personalization angle | Blue Ocean gap (2% usage) | Differentiation | - | 2026-03-15 | Pending |

---

## Setup Instructions

1. Make a copy of the template
2. Fill in Sheet 1 with your competitor list (start with 5-10)
3. Run your first messaging analysis using the playbook Chapter 3 method
4. Enter angle percentages in Sheet 2
5. Set a monthly calendar reminder to update all sheets
6. Review Sheet 8 action items weekly

---

## Conditional Formatting Rules (Pre-Built)

- **Red cells**: Competitor angle shift  10% month-over-month
- **Green cells**: Opportunity scores 70+
- **Yellow cells**: New competitors detected
- **Bold text**: Your uncovered keywords (coverage = NO)

---

**Update Frequency**: Monthly (set calendar reminder for 1st of each month)
**Time to Update**: 45-60 minutes per month after initial setup


# Bonus 2: Blue Ocean Scoring Framework

**Format**: Scoring worksheet + reference guide
**Standalone Value**: $147

---

## Overview

The complete Blue Ocean Differentiation Scoring system in a ready-to-use worksheet format. Score your market positioning opportunity on a 0-100 scale across 4 dimensions with detailed sub-criteria.

---

## The 4-Dimension Scoring System

### Dimension 1: Messaging Uniqueness (0-25 Points)

**Purpose**: How different is your messaging from the market?

**Scoring Rules**:

For each messaging angle you plan to use as a primary:

| Market Usage of That Angle | Points Awarded |
|---------------------------|----------------|
|  10% (virtually unused) | +8 points |
| 10-15% (underused) | +6 points |
| 15-25% (lightly contested) | +4 points |
| 25-40% (moderately contested) | +2 points |
|  40% (saturated) | +0 points |

**Cap**: 25 points maximum

**Worksheet**:

| Your Planned Angle | Current Market Usage | Points |
|-------------------|---------------------|--------|
| _________________ | _____% | _____ |
| _________________ | _____% | _____ |
| _________________ | _____% | _____ |
| **Subtotal** (cap at 25) | | **_____** |

**How to find market usage**: Average the angle percentage across all competitors in your messaging matrix (Chapter 7).

---

### Dimension 2: Keyword Opportunity (0-25 Points)

**Purpose**: How much uncovered search demand exists?

**Scoring Rules**:

For each keyword where competitors bid but you don't:

| Keyword Search Volume | Points Awarded |
|----------------------|----------------|
| 1,000+/mo | +3 points |
| 500-999/mo | +2 points |
| 100-499/mo | +1 point |

**Bonus**: If 3+ competitors bid on a keyword you don't cover: +1 additional point

**Cap**: 25 points maximum

**Worksheet**:

| Uncovered Keyword | Search Volume | Competitors Bidding | Points |
|------------------|---------------|---------------------|--------|
| _________________ | _____ | _____ | _____ |
| _________________ | _____ | _____ | _____ |
| _________________ | _____ | _____ | _____ |
| _________________ | _____ | _____ | _____ |
| _________________ | _____ | _____ | _____ |
| **Subtotal** (cap at 25) | | | **_____** |

**How to find uncovered keywords**: Use the keyword-ad mapping method from Chapter 6.

---

### Dimension 3: Offer Differentiation (0-25 Points)

**Purpose**: How unique are your offers compared to competitors?

**Scoring Rules**:

For each offer element you have that NO competitor offers:

| Unique Offer Element | Points |
|---------------------|--------|
| Per unique guarantee type | +5 |
| Per unique shipping/returns policy | +5 |
| Per unique pricing model | +5 |
| Per unique bundling approach | +5 |
| Per unique service inclusion | +5 |

**Cap**: 25 points maximum

**Worksheet**:

| Your Offer Element | # Competitors Also Offering | Unique? | Points |
|-------------------|---------------------------|---------|--------|
| _________________ | _____ | Y/N | _____ |
| _________________ | _____ | Y/N | _____ |
| _________________ | _____ | Y/N | _____ |
| _________________ | _____ | Y/N | _____ |
| **Subtotal** (cap at 25) | | | **_____** |

**How to find offer landscape**: Use landing page analysis from Chapter 5. Document every competitor's offers, guarantees, and policies.

---

### Dimension 4: Visual Distinctiveness (0-25 Points)

**Purpose**: How visually different are your ads from the market?

**Scoring Rules**:

| Visual Element | Condition | Points |
|---------------|-----------|--------|
| Ad layout | Different from dominant market layout | +15 |
| Color palette | Different from competitor norms | +10 |
| Creative format | Using format competitors don't (video vs static) | +10 |
| Image style | Different from market norm (lifestyle vs product) | +5 |

**Cap**: 25 points maximum

**Worksheet**:

| Visual Element | Market Dominant | Your Approach | Different? | Points |
|---------------|----------------|---------------|------------|--------|
| Layout | _________________ | _________________ | Y/N | _____ |
| Colors | _________________ | _________________ | Y/N | _____ |
| Format | _________________ | _________________ | Y/N | _____ |
| Image style | _________________ | _________________ | Y/N | _____ |
| **Subtotal** (cap at 25) | | | | **_____** |

**How to find visual norms**: Analyze display ads from Chapter 2. Note dominant layouts, color schemes, and creative types.

---

## Total Score Calculation

| Dimension | Your Score |
|-----------|-----------|
| Messaging Uniqueness | _____/25 |
| Keyword Opportunity | _____/25 |
| Offer Differentiation | _____/25 |
| Visual Distinctiveness | _____/25 |
| **TOTAL** | **_____/100** |

---

## Score Interpretation Guide

### 76-100: Strong Blue Ocean

**Your market position**: Significant differentiation opportunity. You have multiple angles to claim territory competitors haven't touched.

**Strategy**: Move fast. First-mover advantage in underused angles creates defensible positioning. Build messaging around your unique angles and reinforce with offer differentiation.

**Risk**: Low. The opportunity is clear and competitors aren't close to your positioning.

**Action items**:
- Launch campaigns on 2-3 underused angles immediately
- Target all uncovered high-volume keywords
- Promote unique offer elements prominently in all ads
- Build distinct visual identity

### 51-75: Moderate Blue Ocean

**Your market position**: Good differentiation available. Some angles are open, some keywords are uncovered, but competitors are moderately active.

**Strategy**: Pick ONE primary differentiation angle and defend it. Supplement with 1-2 secondary angles. Don't spread too thin.

**Risk**: Medium. Competitors may move into your territory if you don't establish quickly.

**Action items**:
- Focus on the highest-scoring angle opportunity
- Build 2-3 dedicated landing pages for uncovered keywords
- Test unique offer elements in A/B tests before full commitment
- Monitor competitor responses monthly

### 26-50: Contested Market

**Your market position**: Limited easy differentiation. Most angles and keywords are actively contested.

**Strategy**: Differentiate through COMBINATION of moderate-opportunity angles rather than any single angle. Or differentiate on execution quality - same angles, better proof.

**Risk**: Higher. You're competing in contested territory. Execution quality matters more than positioning novelty.

**Action items**:
- Find unique angle COMBINATIONS (e.g., Quality + Personalization)
- Focus on superior social proof and authority markers
- Build landing pages that outperform competitors on conversion
- Consider adjacent keywords competitors don't target

### 0-25: Red Ocean

**Your market position**: Heavily commoditized. Competitors saturate most angles and keywords.

**Strategy**: Compete on execution, not positioning. Better ad quality, better landing pages, better offers. Or shift to a less-contested market segment.

**Risk**: High. Margins are under pressure. Differentiation requires structural advantages.

**Action items**:
- Optimize Quality Score for better ad positions at lower cost
- Build superior conversion infrastructure (landing pages, checkout)
- Consider niche sub-segments with less competition
- Evaluate DFY service offering to capture value differently

---

## Quarterly Reassessment Protocol

Re-score every quarter. Track changes:

| Quarter | Messaging | Keywords | Offers | Visual | Total | Trend |
|---------|-----------|----------|--------|--------|-------|-------|
| Q1 2026 | _____ | _____ | _____ | _____ | _____ | Baseline |
| Q2 2026 | _____ | _____ | _____ | _____ | _____ | ↑/↓/→ |
| Q3 2026 | _____ | _____ | _____ | _____ | _____ | ↑/↓/→ |
| Q4 2026 | _____ | _____ | _____ | _____ | _____ | ↑/↓/→ |

**Score dropping?** Competitors are moving into your territory. Reassess and find new differentiation.

**Score rising?** Your positioning is getting more unique. Double down.


# Bonus 3: Competitor Ad Swipe File Template

**Format**: Structured documentation template
**Standalone Value**: $47

---

## Overview

A ready-to-use template for building your competitive ad swipe file. Organized by competitor, platform, and strategic value - not just a folder of screenshots.

---

## Per-Competitor Swipe File Template

### Competitor: _______________

**Domain**: _______________
**Advertiser ID**: _______________
**Total Active Ads**: _____
**Analysis Date**: _______________

---

### Section 1: Evergreen Winners (180+ Days Running)

These ads are proven performers. Study them closely.

#### Evergreen Ad #1

| Field | Details |
|-------|---------|
| Platform | Search / Shopping / Display / YouTube |
| Format | Text / Image / Video |
| First Seen | ___/___/______ |
| Days Active | _____ |
| **Headline** | |
| **Description** | |
| **CTA** | |
| **Landing URL** | |
| **Primary Angle** | _____ (Score: _____) |
| **Secondary Angle** | _____ (Score: _____) |
| **CTA Type** | Shop / Learn / Try / Compare / Contact |

**Why This Works** (Your Analysis):
_____________________________________________________________
_____________________________________________________________

**What to Steal** (Adapt, Don't Copy):
_____________________________________________________________

**What to Avoid** (Weaknesses You See):
_____________________________________________________________

---

*(Repeat for each evergreen ad - aim for 5-15 per competitor)*

---

### Section 2: Active A/B Tests

#### Test #1

| Field | Variant A | Variant B | Variant C |
|-------|-----------|-----------|-----------|
| Headline | | | |
| Description | | | |
| CTA | | | |
| Landing URL | | | |
| Days Running | | | |
| Likely Winner | ☐ | ☐ | ☐ |

**Test Type**: Headline / CTA / Messaging Angle / Copy Variation
**Learning for Us**: _______________________________________________

---

### Section 3: Messaging Angle Profile

| Angle | Usage % | Confidence | Trend (vs Last Month) |
|-------|---------|------------|----------------------|
| Price/Value | _____% | _____ | ↑ / ↓ / → |
| Quality/Premium | _____% | _____ | ↑ / ↓ / → |
| Urgency/Scarcity | _____% | _____ | ↑ / ↓ / → |
| Social Proof | _____% | _____ | ↑ / ↓ / → |
| Authority/Expertise | _____% | _____ | ↑ / ↓ / → |
| Convenience/Ease | _____% | _____ | ↑ / ↓ / → |
| Guarantee/Trust | _____% | _____ | ↑ / ↓ / → |
| Newness/Innovation | _____% | _____ | ↑ / ↓ / → |
| Personalization | _____% | _____ | ↑ / ↓ / → |
| Comparison | _____% | _____ | ↑ / ↓ / → |
| Free Offer | _____% | _____ | ↑ / ↓ / → |
| Exclusivity | _____% | _____ | ↑ / ↓ / → |

---

### Section 4: Landing Page Intelligence

| Field | Details |
|-------|---------|
| Primary Page Type | PDP / Collection / Advertorial / Quiz / Homepage / Landing Page |
| Key Value Props | |
| Trust Signals | |
| Social Proof Format | Reviews / Testimonials / Press / UGC |
| Review Count | _____ |
| Star Rating | _____/5 |
| Urgency Elements | Low stock / Countdown / Limited time / Social popularity |
| Pricing Display | Was/Now / Compare At / % Off / Starting At / Standard |
| Primary CTA | |

---

### Section 5: Strategic Assessment

**Threat Level**: HIGH / MEDIUM / LOW

**Their Strengths** (What they do better than us):
1. _____________________________________________________________
2. _____________________________________________________________
3. _____________________________________________________________

**Their Weaknesses** (Gaps we can exploit):
1. _____________________________________________________________
2. _____________________________________________________________
3. _____________________________________________________________

**Our Counter-Strategy**:
- Dominant angle to counter: _______________ → Our counter: _______________
- Differentiation hook: _______________________________________________
- Keyword gaps to target: _____________________________________________

---

## Proven Pattern Library

### High-Performing Headline Patterns

Extracted from evergreen ads across all competitors:

| Pattern | Example | Source | Days Running |
|---------|---------|-------|-------------|
| {Discount}% Off {Product} - {Urgency} | "30% Off Hammocks - Today Only" | comp.com | 267 |
| {Number}+ {Social Proof} - {CTA} | "5,000+ Reviews - Shop Now" | comp2.com | 245 |
| {Quality Claim} {Product} - {Guarantee} | "Premium Hammocks - Lifetime Warranty" | comp3.com | 200 |
| _______________________________ | | | |
| _______________________________ | | | |

### High-Performing Description Structures

| Structure | Example | Angles Used |
|-----------|---------|-------------|
| [Value prop]. [Social proof]. [CTA + urgency]. | "Handcrafted quality. 5,000+ reviews. Shop now - limited stock." | Quality + Social + Urgency |
| [Problem]. [Solution]. [Risk reversal]. | "Tired of cheap gear? Premium quality. 60-day guarantee." | Problem + Quality + Guarantee |
| _______________________________ | | |
| _______________________________ | | |

### Power Words (Appearing in Evergreen Ads)

**High frequency**: ________________________________
**In 6+ month ads**: ________________________________
**Avoid** (short-lived): ________________________________

---

## Maintenance Schedule

- **Weekly**: Quick scan of competitor ad libraries for new creatives (15 min)
- **Monthly**: Full analysis update - messaging angles, tests, landing pages (60 min)
- **Quarterly**: Complete swipe file refresh + strategic reassessment (2-3 hours)

---

**Pro tip**: Organize swipe files digitally. Screenshots in folders get forgotten. This structured template stays actionable.


# Bonus 4: Funnel Coverage Gap Analyzer

**Format**: Analysis framework + worksheet
**Standalone Value**: $97

---

## Overview

A systematic framework for analyzing where competitors invest across the purchase funnel - and where they leave gaps you can exploit. Maps TOFU/MOFU/BOFU ad distribution to reveal strategic opportunities.

---

## Funnel Stage Classification Guide

### TOFU (Top of Funnel) - Awareness

**Intent**: Informational. Not ready to buy.

**Detection Signals**:
- Keywords: "what is," "how to," "guide," "tips," "learn," "understand," "meaning of"
- CTAs: Learn More, Discover, Explore, Find Out, Read More
- Page types: Blog, Guide, Resource, How-To, Educational
- Ad angles: Education, thought leadership, problem awareness

**Example TOFU ads**:
- "How to Choose the Right Camping Hammock - Complete Guide"
- "5 Mistakes New Campers Make - Free Guide"

---

### MOFU (Middle of Funnel) - Consideration

**Intent**: Commercial investigation. Comparing options.

**Detection Signals**:
- Keywords: "best," "top," "vs," "compare," "review," "alternative," "which," "pros and cons"
- CTAs: Compare, View Options, Browse, See Collection, Try, Take Quiz
- Page types: Comparison, Collection, Category, Review, Quiz
- Ad angles: Comparison, social proof, authority, feature highlights

**Example MOFU ads**:
- "Best Camping Hammocks 2026 - Expert Reviews"
- "ENO vs Kammok: Which Is Better? Compare Now"

---

### BOFU (Bottom of Funnel) - Decision

**Intent**: Transactional. Ready to purchase.

**Detection Signals**:
- Keywords: "buy," "price," "discount," "order," "shop," "deal," "coupon," "free shipping"
- CTAs: Shop Now, Buy Now, Add to Cart, Get Yours, Order Today
- Page types: PDP, Checkout, Cart, Sale/Promo Landing Page
- Ad angles: Price/value, urgency/scarcity, free offers, convenience

**Example BOFU ads**:
- "Shop Premium Hammocks - 30% Off + Free Shipping"
- "Order Today - Same Day Shipping Available"

---

## Funnel Classification Worksheet

### Step 1: Classify Each Competitor's Ads

For each competitor, classify their ads by funnel stage:

**Competitor: _______________**

| Ad # | Headline (First 50 chars) | Keyword Signals | CTA | Page Type | Funnel Stage |
|------|---------------------------|-----------------|-----|-----------|-------------|
| 1 | | | | | TOFU / MOFU / BOFU |
| 2 | | | | | TOFU / MOFU / BOFU |
| 3 | | | | | TOFU / MOFU / BOFU |
| ... | | | | | |

**Summary**:
- TOFU ads: _____ (____%)
- MOFU ads: _____ (____%)
- BOFU ads: _____ (____%)

*(Repeat for each competitor)*

---

### Step 2: Build the Funnel Comparison Matrix

| Entity | TOFU % | MOFU % | BOFU % | Strategy Type |
|--------|--------|--------|--------|---------------|
| **Your Brand** | _____% | _____% | _____% | _____________ |
| Competitor A | _____% | _____% | _____% | _____________ |
| Competitor B | _____% | _____% | _____% | _____________ |
| Competitor C | _____% | _____% | _____% | _____________ |
| Competitor D | _____% | _____% | _____% | _____________ |
| Competitor E | _____% | _____% | _____% | _____________ |
| **Market Average** | _____% | _____% | _____% | _____________ |

**Strategy Type Guide**:
- 70%+ BOFU = "Bottom-Heavy" (conversion-focused, ignoring awareness)
- 40%+ TOFU = "Top-Heavy" (awareness-focused, weak on conversion)
- Balanced (15-25% TOFU, 25-35% MOFU, 40-60% BOFU) = "Full-Funnel"
- 50%+ MOFU = "Consideration-Heavy" (comparison strategy)

---

### Step 3: Identify Gaps

**Gap Analysis Matrix**:

| Funnel Stage | Market Avg | Your Coverage | Gap Size | Opportunity? |
|-------------|------------|--------------|----------|-------------|
| TOFU | _____% | _____% | _____% | YES / NO |
| MOFU | _____% | _____% | _____% | YES / NO |
| BOFU | _____% | _____% | _____% | YES / NO |

**Gap = Market Average - Your Coverage**

A positive gap means competitors invest more than you at that stage. A negative gap means you over-index relative to the market.

---

### Step 4: Competitor Gap Detection

Where are COMPETITORS leaving gaps?

| Competitor | Weakest Stage | Their % | Market Avg | Gap | Exploitable? |
|-----------|--------------|---------|------------|-----|-------------|
| Comp A | _____________ | _____% | _____% | _____% | YES / NO |
| Comp B | _____________ | _____% | _____% | _____% | YES / NO |
| Comp C | _____________ | _____% | _____% | _____% | YES / NO |

**Key question**: If a dominant competitor has 5% TOFU coverage vs 15% market average, they're ignoring awareness. Can you capture early-stage demand before they do?

---

## Strategic Playbooks by Gap Type

### Gap: Low TOFU in Market

**Opportunity**: Capture demand at the awareness stage before competitors enter.

**Tactics**:
- Create educational content ads ("How to Choose..." "Guide to..." "X Mistakes...")
- Build blog content or guide landing pages
- Target informational keywords competitors ignore
- Use "Learn More" CTAs with soft conversion (email capture)

**Expected outcome**: Lower CPAs (less competition), brand awareness lift, email list growth

### Gap: Low MOFU in Market

**Opportunity**: Own the consideration stage where buying decisions are made.

**Tactics**:
- Build comparison landing pages ("Us vs Them")
- Target "best," "review," "vs" keywords
- Create quiz-format pages for personalized recommendations
- Use "Compare" and "See Options" CTAs

**Expected outcome**: Higher conversion rates (warmer traffic), stronger brand preference

### Gap: Low BOFU in Market (Rare)

**Opportunity**: Capture ready-to-buy traffic with minimal competition.

**Tactics**:
- Aggressive Shopping campaigns on commercial keywords
- Promotional landing pages with urgency
- "Shop Now" and "Order Today" CTAs with strong offers
- Retargeting campaigns for cart abandoners

**Expected outcome**: Immediate revenue (highest intent traffic)

### Gap: Competitor-Specific

**Opportunity**: Target a specific competitor's weak funnel stage.

**Tactics**:
- If Comp A ignores TOFU: Run awareness ads on their branded "how to" keywords
- If Comp B ignores MOFU: Create comparison pages specifically against Comp B
- If Comp C ignores BOFU: Bid on Comp C's product keywords with shopping ads

---

## Funnel Coverage Visualization

Plot your coverage vs market average:

```
TOFU:  You [████------] __% | Market [██████----] __%
MOFU:  You [██████----] __% | Market [████████--] __%
BOFU:  You [████████--] __% | Market [██████----] __%
```

**Interpretation guide**:
- Bars aligned = you match the market
- Your bar shorter = gap (potential opportunity)
- Your bar longer = over-indexed (potential reallocation opportunity)

---

## Action Planning Template

| Priority | Gap Identified | Action | Content Needed | Budget Estimate | Timeline |
|----------|---------------|--------|----------------|-----------------|----------|
| 1 | _____________ | ________________________ | _____________ | $_____ | _____ weeks |
| 2 | _____________ | ________________________ | _____________ | $_____ | _____ weeks |
| 3 | _____________ | ________________________ | _____________ | $_____ | _____ weeks |

---

**Update cadence**: Quarterly (funnel strategies shift slowly)
**Time to complete**: 2-3 hours for initial analysis, 1 hour for quarterly updates


# Bonus 5: Counter-Ad Copy Templates (10 Patterns)

**Format**: Fill-in-the-blank ad frameworks
**Standalone Value**: $127

---

## Overview

10 proven counter-positioning ad templates. Each template targets a specific competitor weakness, includes RSA headline sets (15 headlines, 4 descriptions), and adapts to any product category.

---

## How to Use These Templates

1. Identify the competitor's dominant messaging angle (from your messaging matrix)
2. Select the counter-pattern that matches
3. Fill in the brackets with your brand-specific details
4. Adapt headlines to fit Google Ads 30-character limit
5. Adapt descriptions to fit 90-character limit
6. A/B test against your current ads

---

## Pattern 1: The Authority Counter

**Use when competitor leads with**: Price/Value
**Your angle**: Authority/Expertise

**Headlines (15):**
1. [Number]+ Years of [Industry] Expertise
2. [Your Brand] - Trusted Since [Year]
3. [Certification/Award] Certified
4. Why [Number]+ [Customers/Brands] Choose Us
5. The Expert Choice in [Category]
6. Not the Cheapest. The Best.
7. [Number] Years. [Number] [Customers].
8. Official [Certification] [Category]
9. Built by [Category] Specialists
10. [Industry] Professionals Choose Us
11. Award-Winning [Product Category]
12. Quality That Outlasts Price Tags
13. [Number]+ [Products] Sold. [Rating] Stars.
14. The [Category] Experts Trust
15. {KeyWord:[Category Fallback]}

**Descriptions (4):**
1. [Number]+ years building [category]. [Number]+ [customers] served. We don't compete on price - we compete on results. [CTA].
2. Certified [certification]. Trusted by [audience type]. [Your unique claim]. Experience the difference. [CTA].
3. Cheap [product] costs more in the long run. Our [products] last [timeframe]. [Guarantee claim]. [CTA].
4. Why do [number]+ [customers] choose us over cheaper alternatives? [Key differentiator]. [Social proof stat]. [CTA].

---

## Pattern 2: The Guarantee Counter

**Use when competitor leads with**: Urgency/Scarcity
**Your angle**: Guarantee/Trust

**Headlines (15):**
1. [Number]-Day Money-Back Guarantee
2. No Rush. No Pressure. No Risk.
3. Take Your Time. We're Confident.
4. [Guarantee Type] Guaranteed
5. Try [Product] Risk-Free
6. Not Happy? Full Refund. Simple.
7. [Number]-Day Free Trial Included
8. Zero Risk. [Guarantee Duration].
9. We Don't Need Fake Deadlines
10. Satisfaction Guaranteed or Refund
11. Confidence, Not Pressure
12. [Product] With [Number]-Day Guarantee
13. Try Before You Commit
14. No Questions Asked Returns
15. {KeyWord:[Category Fallback]}

**Descriptions (4):**
1. While others rush you with "limited time" offers, we give you [number] days to decide. Full refund if you're not satisfied. [CTA].
2. [Guarantee duration] money-back guarantee. Free returns. No restocking fees. We believe in our [product] enough to back it. [CTA].
3. Good [products] don't need countdown timers. Try ours risk-free for [number] days. [Social proof stat]. [CTA].
4. [Number]+ [customers] chose us without being pressured. [Guarantee claim]. [Key differentiator]. Take your time. [CTA].

---

## Pattern 3: The Personalization Counter

**Use when competitor leads with**: Convenience/Ease
**Your angle**: Personalization

**Headlines (15):**
1. Custom [Product] Built for You
2. Not One-Size-Fits-All
3. Personalized [Category] Selection
4. Find Your Perfect [Product]
5. Built to Your Specifications
6. Take the [Product] Quiz
7. Your [Category], Your Way
8. Custom Options Available
9. Tailored to Your [Need/Style]
10. Because You're Not Generic
11. Personalized Recommendations
12. Made for Your Specific Needs
13. [Number] Custom Options
14. Tell Us What You Need
15. {KeyWord:[Category Fallback]}

**Descriptions (4):**
1. Generic [products] for generic results. Our personalized [category] matches your specific [need]. Take the 2-minute quiz. [CTA].
2. [Number] customization options. We build your [product] to your specifications. Not mass-produced. Not generic. Yours. [CTA].
3. Start with our [number]-question assessment. Get personalized recommendations. [Number]+ [customers] found their perfect [product]. [CTA].
4. Why settle for off-the-shelf when you can have custom? Personalized [category] designed for your [specific need]. [CTA].

---

## Pattern 4: The Proof Counter

**Use when competitor leads with**: Claims without evidence
**Your angle**: Social Proof + Specificity

**Headlines (15):**
1. [Number]+ [Star Rating]-Star Reviews
2. See Why [Number]+ [Customers] Switched
3. [Number] [Products] Sold. [Rating] Stars.
4. Verified by [Number]+ [Customers]
5. Read [Number]+ Real Reviews
6. #1 Rated [Category] of [Year]
7. [Award Name] Winner [Year]
8. [Number]+ [Professionals] Recommend Us
9. Real Results. Real Reviews.
10. Don't Take Our Word For It
11. [Rating]/5 from [Number]+ Reviews
12. [Publication] Recommended
13. [Number]% Customer Satisfaction
14. Verified Purchase Reviews Only
15. {KeyWord:[Category Fallback]}

**Descriptions (4):**
1. [Number]+ verified reviews. [Rating] average stars. Don't just believe claims - read what real [customers] say. [CTA].
2. [Number] [customers] can't be wrong. [Key stat from reviews]. See why [audience] choose [brand] over alternatives. [CTA].
3. Award-winning [product]. [Number]+ verified reviews. Featured in [publication]. [Key differentiator]. [CTA].
4. We show you every review - the good and the critical. [Number]+ verified buyers. [Rating] stars average. See for yourself. [CTA].

---

## Pattern 5: The Comparison Counter

**Use when competitor avoids**: Direct comparison
**Your angle**: Transparency through comparison

**Headlines (15):**
1. Compare [Category] Options Honestly
2. [Your Brand] vs Alternatives
3. Side-by-Side [Category] Comparison
4. See How We Compare. Honestly.
5. We Welcome Comparison
6. Compare Before You Buy
7. [Category] Comparison Chart
8. Why [Customers] Switch to Us
9. The Honest [Category] Comparison
10. Facts, Not Marketing Claims
11. Compare Features + Pricing
12. Transparent [Category] Comparison
13. See All Options Side by Side
14. We'll Even Show Theirs
15. {KeyWord:[Category Fallback]}

**Descriptions (4):**
1. We put our [product] next to every alternative and compare honestly. Features, pricing, reviews - all transparent. [CTA].
2. Not sure which [category] is right? Our comparison page shows you every option side-by-side. No spin. Just facts. [CTA].
3. [Number]+ [customers] compared us to alternatives before choosing. See the same comparison they saw. [CTA].
4. We're confident enough to show you competitors' strengths AND ours. Honest comparison. Your decision. [CTA].

---

## Pattern 6: The Risk Reversal Counter

**Use when competitor leads with**: Scarcity/Hard sell
**Your angle**: Zero risk entry

**Headlines (15):**
1. Free [Number]-Day Trial
2. No Credit Card Required
3. Try Before You Buy
4. Cancel Anytime. No Fees.
5. Start Free. Upgrade When Ready.
6. [Number] Days Free. No Strings.
7. Risk-Free [Product] Trial
8. No Commitment Required
9. Test It. Love It. Keep It.
10. Sample Before Full Purchase
11. Free Trial + Free Returns
12. We Remove All the Risk
13. [Number]-Day No-Risk Trial
14. Zero Risk. Full Experience.
15. {KeyWord:[Category Fallback]}

**Descriptions (4):**
1. Why commit blindly? Try our [product] free for [number] days. No credit card. No commitment. Full access. [CTA].
2. We believe in our [product] so much, we let you try it free. [Number] days. Full access. Cancel anytime. [CTA].
3. [Number]+ [customers] started with our free trial. [Conversion stat]% stayed. Try risk-free and see why. [CTA].
4. Free trial. Free returns. [Guarantee duration] money-back. We remove every reason NOT to try. [CTA].

---

## Pattern 7: The Origin Story Counter

**Use when competitor is**: Generic/faceless brand
**Your angle**: Authentic origin/values

**Headlines (15):**
1. Family-Owned Since [Year]
2. [Location]-Made [Category]
3. [Number] Years. [Number] [People].
4. Built by [Category] Enthusiasts
5. A Story Behind Every [Product]
6. From [Origin] to Your [Location]
7. Small Batch. Big Quality.
8. Handcrafted by [Team Description]
9. We Started in a [Origin Place]
10. Meet the Team Behind [Brand]
11. [Year]: [Number] [Products]. Today: [Number].
12. [Category] by People Who [Activity]
13. Not a Corporation. A [Team Type].
14. Our Story. Your [Product].
15. {KeyWord:[Category Fallback]}

**Descriptions (4):**
1. Started in [year] by [founder description]. [Number] years later, [number]+ [customers] trust our [products]. [CTA].
2. Every [product] [made/designed] by [team description] who [authentic detail]. Not mass-produced. [Key differentiator]. [CTA].
3. Behind every [product] is [number] years of [expertise]. [Origin story detail]. [Social proof stat]. [CTA].
4. We're [team size] people who [authentic activity]. [Number]+ [customers] choose us because we're [authentic differentiator]. [CTA].

---

## Pattern 8: The Innovation Counter

**Use when competitor leads with**: Tradition/establishment
**Your angle**: Newness/innovation

**Headlines (15):**
1. New for [Year]: [Product Feature]
2. Redesigned from Customer Feedback
3. Next-Gen [Category] Technology
4. [Year]'s Most Innovative [Product]
5. Built Different. Built Better.
6. Updated [Product] Just Launched
7. The [Category] Upgrade Is Here
8. Fresh Design. Proven Results.
9. Why Settle for Last Year's [Product]?
10. Introducing [Product/Feature Name]
11. Modern [Category] for Modern [Audience]
12. Innovation Meets [Category]
13. [Number] New Features for [Year]
14. The Future of [Category]
15. {KeyWord:[Category Fallback]}

**Descriptions (4):**
1. [Year]'s [product] is here. [Number] improvements based on [number]+ customer reviews. [Key new feature]. [CTA].
2. While others sell the same [product] they sold [number] years ago, we redesigned ours from scratch. [Key improvement]. [CTA].
3. New [feature]. New [feature]. Same commitment to quality. See what's changed in the [year] [product line]. [CTA].
4. [Number]+ customers told us what they wanted improved. We listened. Introducing the [new product/version]. [CTA].

---

## Pattern 9: The Exclusivity Counter

**Use when competitor casts**: A wide net / mass market
**Your angle**: Selectivity/premium audience

**Headlines (15):**
1. Not for Everyone
2. For Serious [Category] [Enthusiasts]
3. The [Category] for [Audience Type]
4. If You Appreciate [Quality Trait]
5. Curated for [Audience Description]
6. Join [Number]+ [Selective Audience]
7. Members-Only [Benefit]
8. Application Required
9. For Those Who Know the Difference
10. The [Category] Connoisseurs Choose
11. Selective. Intentional. Premium.
12. Made for the [Number]%
13. If [Qualifier], This Is for You
14. Invitation to [Experience/Collection]
15. {KeyWord:[Category Fallback]}

**Descriptions (4):**
1. We don't try to be everything to everyone. Our [products] are built for [specific audience] who value [specific quality]. [CTA].
2. [Number] [customers] chose us because they're [audience description]. If [qualifier], you belong here. [CTA].
3. Not the mass market option. The [audience type] option. [Key differentiator]. [Proof point]. [CTA].
4. [Number]% of our customers are [audience description]. If that sounds like you, welcome. [CTA].

---

## Pattern 10: The Education Counter

**Use when competitor**: Sells hard
**Your angle**: Teach first, sell second

**Headlines (15):**
1. Free [Category] Guide - No Sales Pitch
2. Learn Before You Buy
3. The Complete [Category] Guide
4. [Number] Things to Know Before Buying
5. Free [Category] Education
6. We Teach. You Decide.
7. [Category] Buying Guide (Free)
8. Educated Buyers Choose Better
9. Free [Number]-Minute [Category] Guide
10. No Pitch. Just Information.
11. [Category] 101: Start Here
12. Your Questions, Answered Free
13. Free Expert [Category] Advice
14. Learn What Matters in [Category]
15. {KeyWord:[Category Fallback]}

**Descriptions (4):**
1. We believe educated buyers make better choices. Download our free [category] guide. No email required. No sales pitch. [CTA].
2. [Number]-page guide covering everything you need to know about [category]. Written by [expertise]. Free. [CTA].
3. Most brands want your money first. We want you informed first. Free [category] guide from [number]-year experts. [CTA].
4. [Number]+ [audience] used our free guide before purchasing. [Conversion stat]. Start with knowledge, not a sales page. [CTA].

---

## Implementation Checklist

For each counter-ad template you use:

- [ ] Identified competitor's dominant angle
- [ ] Selected appropriate counter-pattern
- [ ] Filled in all brackets with brand-specific details
- [ ] Verified all headlines are under 30 characters
- [ ] Verified all descriptions are under 90 characters
- [ ] Included at least 1 {KeyWord:Fallback} headline
- [ ] Included brand name in at least 1 headline
- [ ] Ensured 3+ distinct angles across the 15 headlines
- [ ] Each description addresses a different pain point
- [ ] Counter-angle is genuine (you can actually deliver on the promise)

---

**Usage note**: These templates are starting points. Your best-performing counter-ads will come from adapting these patterns with your specific brand proof, numbers, and differentiation. Test 2-3 patterns simultaneously, measure for 30 days, then scale the winners.


# Attribution Decision Tree

**Format**: Visual Decision Framework
**Standalone Value**: $75

---

## How to Use This Decision Tree

Work through the tree from top to bottom. Each decision point narrows your attribution model and configuration. By the end, you will have a specific recommendation for which model to use, what attribution windows to set, and how to configure your reporting.

Do not skip ahead. The decisions are sequential - each one depends on the answers above it.

---

## Decision 1: Monthly Conversion Volume

**Question: How many conversions does your account generate per month?**

This is the single most important variable in attribution model selection. Everything else is secondary.

Pull this number from Shopify (total orders), not from GA4 or Google Ads. Platform-reported conversions may already be affected by the attribution problems you are trying to fix.

```
How many monthly conversions (Shopify orders)?
│
├── UNDER 100 CONVERSIONS
│   │
│   │  Your data volume is too low for machine learning models.
│   │  DDA will not produce reliable results.
│   │
│   ├── Primary model: LAST CLICK
│   ├── Secondary model: None (insufficient data for cross-reference)
│   ├── Attribution window: 30 days (Google Ads), 7 days (Meta - cannot change)
│   ├── Optimization cadence: Monthly (too little data for weekly decisions)
│   │
│   └── Priority: Focus on increasing conversion volume before adding
│       model complexity. Accurate attribution with 50 conversions is
│       less impactful than getting to 200 conversions with basic tracking.
│
├── 100-299 CONVERSIONS
│   │
│   │  Transitional zone. DDA is partially functional but not fully reliable.
│   │  Use it as a secondary lens, not your primary decision tool.
│   │
│   ├── Primary model: LAST CLICK
│   ├── Secondary model: DDA (view-only, for directional insight)
│   ├── Attribution window: 30 days (Google Ads), match your conversion delay
│   ├── Optimization cadence: Biweekly
│   │
│   └── Action: Run GA4 Model Comparison report monthly. Compare DDA vs
│       Last Click for each channel. Where they agree, high confidence.
│       Where they disagree by more than 20%, investigate but trust
│       Last Click for decisions.
│
├── 300-499 CONVERSIONS
│   │
│   │  DDA is functional. You have enough data for the algorithm to
│   │  identify meaningful patterns. Use it with cross-reference.
│   │
│   ├── Primary model: DATA-DRIVEN ATTRIBUTION
│   ├── Secondary model: Last Click (cross-reference for sanity checks)
│   ├── Attribution window: Based on your conversion delay data (see Decision 3)
│   ├── Optimization cadence: Weekly with biweekly strategic review
│   │
│   └── Action: Compare DDA and Last Click monthly. If they diverge by
│       more than 30% on any channel, investigate that channel specifically.
│       The divergence usually reveals prospecting campaigns being
│       undervalued by Last Click.
│
└── 500+ CONVERSIONS
    │
    │  Full model capability. DDA has sufficient data to produce reliable
    │  multi-touch attribution. Layer additional models for specific use cases.
    │
    ├── Primary model: DATA-DRIVEN ATTRIBUTION
    ├── Cross-channel allocation: LINEAR PAID (via Triple Whale/Northbeam or manual)
    ├── Reporting model: LAST CLICK (matches Shopify closest)
    ├── Attribution window: Based on your conversion delay data (see Decision 3)
    ├── Optimization cadence: Weekly
    │
    └── Action: Run the full model stack.
        - DDA for within-channel campaign optimization
        - Linear Paid for cross-channel budget allocation
        - Last Click for stakeholder reporting
        - Model Comparison report monthly for full-funnel health
```

---

## Decision 2: Number of Active Ad Channels

**Question: How many paid advertising channels are you running?**

Count distinct platforms, not campaign types. Google Search and Google Shopping are one channel (Google Ads). Meta Ads is one channel. TikTok is one channel. Email is not a paid ad channel for this purpose.

```
How many active paid ad channels?
│
├── 1 CHANNEL (Google Ads only, or Meta only)
│   │
│   │  Single-channel attribution is relatively simple. Cross-channel
│   │  overlap does not exist. Your biggest risk is within-channel
│   │  model selection, not cross-channel reconciliation.
│   │
│   ├── Attribution model: Last Click or DDA (per Decision 1 volume)
│   ├── Cross-channel model: Not needed
│   ├── Reconciliation: Platform vs Shopify only (2-source comparison)
│   ├── Risk level: LOW (no overlap to untangle)
│   │
│   └── Action: Focus on getting your single platform's conversion
│       tracking as accurate as possible. Server-side tracking,
│       enhanced conversions, and accurate attribution windows matter
│       more than model sophistication.
│
├── 2 CHANNELS (typically Google + Meta)
│   │
│   │  Cross-channel overlap begins. The same customer may click a
│   │  Meta ad and then a Google ad. Both platforms claim the sale.
│   │
│   ├── Within-channel model: DDA or Last Click (per Decision 1)
│   ├── Cross-channel model: LINEAR PAID (required for budget allocation)
│   ├── Reconciliation: 3-source (GA4 vs Platform sum vs Shopify)
│   ├── Risk level: MEDIUM (overlap typically 20-40%)
│   │
│   └── Action: You MUST reconcile platform-reported revenue against
│       Shopify. Do not sum Google + Meta and call it total attributed
│       revenue. Use Linear Paid (Triple Whale or manual approximation)
│       for "how should I split budget between Google and Meta?"
│
├── 3+ CHANNELS (Google + Meta + TikTok/Pinterest/other)
│   │
│   │  Significant cross-channel overlap. Customer journeys span
│   │  multiple platforms. Platform self-reported totals will massively
│   │  exceed actual revenue (50-100%+ inflation is common).
│   │
│   ├── Within-channel model: DDA (if volume supports it per Decision 1)
│   ├── Cross-channel model: LINEAR PAID (essential, not optional)
│   ├── Third-party tool: STRONGLY RECOMMENDED (Triple Whale or Northbeam)
│   ├── Reconciliation: Multi-source with weekly cadence
│   ├── Risk level: HIGH (overlap can exceed 60%)
│   │
│   └── Action: Manual reconciliation becomes impractical with 3+ channels.
│       A third-party attribution tool saves hours per week and provides
│       more accurate cross-channel allocation. If you are spending
│       $20K+/month across 3+ channels, the tool pays for itself in
│       the first month through better budget allocation.
│
└── 3+ CHANNELS + OFFLINE/INFLUENCER
    │
    │  Most complex attribution environment. Some touchpoints cannot
    │  be directly tracked (podcast ads, influencer posts, word of mouth).
    │
    ├── Trackable channels: DDA + Linear Paid (per above)
    ├── Untrackable channels: Incrementality testing required
    ├── Third-party tool: REQUIRED (Northbeam preferred for offline modeling)
    ├── Reconciliation: Weekly tool-based + monthly incrementality review
    ├── Risk level: VERY HIGH
    │
    └── Action: Accept that attribution will never be 100% accurate for
        untrackable channels. Use incrementality tests (pause one channel,
        measure impact on total revenue) quarterly to validate. For
        trackable channels, follow the standard protocol.
```

---

## Decision 3: Average Conversion Delay

**Question: How long does it take your customers to buy after their first ad interaction?**

Use the Conversion Delay Calculator (Bonus 3) to find your actual number. If you have not run it yet, use the price-point benchmarks below as a starting estimate.

```
What is your average conversion delay?
│
├── UNDER 7 DAYS (mostly Day 0-3)
│   │
│   │  Fast conversions. Standard attribution windows work.
│   │  Typical for: products under $50, strong brand awareness,
│   │  heavy remarketing, impulse-friendly categories.
│   │
│   ├── GA4 acquisition lookback: 30 days (default is fine)
│   ├── GA4 engagement lookback: 90 days (set to max regardless)
│   ├── Google Ads window: 30 days (comfortable margin above your delay)
│   ├── Meta window: 7-day click default is sufficient
│   ├── Campaign evaluation: After 7-14 days
│   ├── ROAS reporting lag: 3 days
│   │
│   └── Note: Even with fast conversions, keep Google Ads at 30 days.
│       There is no downside to a longer window - it captures edge cases
│       without changing how you evaluate the majority of conversions.
│
├── 7-14 DAYS
│   │
│   │  Medium consideration cycle. Standard Meta windows are too short.
│   │  You are missing conversions if you use 7-day measurement.
│   │  Typical for: $50-200 products, competitive categories,
│   │  first-time buyers of subscription products.
│   │
│   ├── GA4 acquisition lookback: 30 days
│   ├── GA4 engagement lookback: 90 days
│   ├── Google Ads window: 30 days
│   ├── Meta window: 7-day click UNDERCOUNTS - supplement with:
│   │   ├── Triple Whale at 14-28 day window, OR
│   │   └── Meta compare attribution settings (1-day vs 7-day vs 28-day)
│   ├── Campaign evaluation: After 21-28 days minimum
│   ├── ROAS reporting lag: 7-14 days
│   │
│   └── Action: If you are comparing Meta to Google using default windows,
│       Meta looks 15-30% worse than reality. Align windows before
│       making channel allocation decisions.
│
├── 14-30 DAYS
│   │
│   │  Long consideration cycle. 7-day ROAS is meaningless for your business.
│   │  Typical for: $200+ products, B2B, high-ticket DTC,
│   │  furniture, electronics, luxury goods.
│   │
│   ├── GA4 acquisition lookback: 30 days (you are at the GA4 limit)
│   ├── GA4 engagement lookback: 90 days
│   ├── Google Ads window: 30 days (minimum - consider 60 or 90 if available)
│   ├── Meta window: Severely undercounts - 28-day Triple Whale REQUIRED
│   ├── Campaign evaluation: After 30-45 days minimum
│   ├── ROAS reporting lag: 14-30 days
│   │
│   └── Action: You need a third-party tool with longer windows.
│       GA4's 30-day acquisition lookback is capping your data.
│       Any conversion that takes 31+ days is unattributed in GA4.
│       Northbeam or Triple Whale with extended windows captures what GA4 cannot.
│
└── 30+ DAYS
    │
    │  Extended consideration cycle. You are likely selling
    │  high-ticket items ($500+), complex products, or B2B.
    │  Standard attribution tools were not built for this.
    │
    ├── GA4 acquisition lookback: 30 days (insufficient for your cycle)
    ├── GA4 engagement lookback: 90 days (better but still may not cover it)
    ├── Google Ads window: 90 days (maximum available)
    ├── Third-party tool: REQUIRED - set to 60-90+ day window
    ├── Campaign evaluation: After 60+ days
    ├── ROAS reporting lag: 30+ days
    │
    └── Action: Accept that real-time attribution is not possible for your
        business. Build a reporting cadence that accounts for the lag.
        "January campaign performance will be fully measurable by mid-March."
        Communicate this to stakeholders upfront. Use leading indicators
        (add-to-cart, initiate checkout, email signups) for faster signal
        while waiting for purchase attribution to complete.
```

---

## Decision 4: Third-Party Attribution Tools

**Question: Are you using (or should you use) a third-party attribution tool?**

```
Using a third-party attribution tool?
│
├── NO - Not using any third-party tool
│   │
│   │  Can you build accurate attribution without one?
│   │
│   ├── 1 ad channel + under $10K/month spend:
│   │   └── YES. GA4 + Google Ads native tracking + Shopify is sufficient.
│   │       Use the Data Reconciliation Template for manual weekly checks.
│   │
│   ├── 2 channels + $10-30K/month spend:
│   │   └── MAYBE. Manual reconciliation works but takes time.
│   │       Expect 30-45 min/week of manual data pulling.
│   │       Consider a tool if your time is worth more than the tool cost.
│   │
│   └── 2+ channels + $30K+/month spend:
│       └── STRONGLY CONSIDER a tool. At this spend level, a $100-300/month
│           tool saves hours of manual work and provides more accurate
│           cross-channel attribution. The budget allocation improvement
│           alone justifies the cost.
│
├── YES - Using Triple Whale
│   │
│   │  Which model for which decision:
│   │
│   ├── Budget allocation across channels: LINEAR PAID
│   │   (Total adds up to actual revenue. No double-counting.)
│   │
│   ├── Full-funnel analysis: LINEAR ALL
│   │   (Includes organic and email contribution.)
│   │
│   ├── Platform-to-platform audit: TRIPLE ATTRIBUTION
│   │   (Compares to platform self-reported. NEVER for total revenue.)
│   │
│   ├── Campaign optimization: DDA in GA4 or Google Ads
│   │   (Triple Whale is better for cross-channel. GA4/Google Ads
│   │   is better for within-channel campaign-level decisions.)
│   │
│   └── Stakeholder reporting: LAST CLICK or LINEAR PAID
│       (Depends on whether stakeholders want "which channel closed"
│       or "how should we allocate budget.")
│
├── YES - Using Northbeam
│   │
│   │  Which model for which decision:
│   │
│   ├── Budget allocation: LINEAR
│   │   (Northbeam's linear distributes credit across touchpoints.)
│   │
│   ├── New customer analysis: FIRST TOUCH
│   │   (Identifies which channels drive discovery.)
│   │
│   ├── Closing channel analysis: LAST TOUCH
│   │   (Identifies which channels close the sale.)
│   │
│   ├── Campaign optimization: Use Northbeam's creative-level attribution
│   │   (One of Northbeam's strengths - creative performance visibility.)
│   │
│   └── Stakeholder reporting: LAST TOUCH
│       (Closest to Shopify for clean reporting.)
│
└── YES - Using another tool (Hyros, Rockerbox, Wicked Reports, etc.)
    │
    │  General principles apply regardless of tool:
    │
    ├── Budget allocation: Use the tool's LINEAR or EQUAL-CREDIT model
    ├── Campaign optimization: Use the tool's ML or DDA model
    ├── Reporting: Use the tool's LAST-CLICK or LAST-TOUCH model
    │
    └── Critical: Always reconcile the tool's total against Shopify.
        If the tool's attributed revenue exceeds Shopify by more than 10%,
        you are using a model that double-counts (check your model selection).
```

---

## Decision Summary: The Configuration Matrix

After working through all four decisions, your configuration should look like this:

### Low Volume (Under 100 Conversions/Month)

| Setting | Value |
|---------|-------|
| GA4 attribution model | Last Click |
| GA4 acquisition window | 30 days |
| GA4 engagement window | 90 days |
| Google Ads model | Last Click |
| Google Ads window | 30 days |
| Cross-channel model | Not needed (likely single channel) |
| Third-party tool | Not needed |
| Optimization cadence | Monthly |
| Reconciliation | Biweekly, 2-source (platform + Shopify) |

### Medium Volume (100-299 Conversions/Month)

| Setting | Value |
|---------|-------|
| GA4 attribution model | Last Click (primary), DDA (secondary view) |
| GA4 acquisition window | 30 days |
| GA4 engagement window | 90 days |
| Google Ads model | Last Click |
| Google Ads window | 30 days |
| Cross-channel model | Manual Linear Paid approximation |
| Third-party tool | Optional (depends on channel count and spend) |
| Optimization cadence | Biweekly |
| Reconciliation | Weekly, 3-source |

### High Volume (300-499 Conversions/Month)

| Setting | Value |
|---------|-------|
| GA4 attribution model | Data-Driven Attribution |
| GA4 acquisition window | 30 days |
| GA4 engagement window | 90 days |
| Google Ads model | Data-Driven Attribution |
| Google Ads window | 30 days (or longer based on conversion delay) |
| Cross-channel model | Linear Paid |
| Third-party tool | Recommended if 2+ channels |
| Optimization cadence | Weekly with biweekly strategic review |
| Reconciliation | Weekly, multi-source |

### Very High Volume (500+ Conversions/Month)

| Setting | Value |
|---------|-------|
| GA4 attribution model | Data-Driven Attribution |
| GA4 acquisition window | 30 days |
| GA4 engagement window | 90 days |
| Google Ads model | Data-Driven Attribution |
| Google Ads window | 30 days minimum, extend based on conversion delay |
| Cross-channel model | Linear Paid (tool-based) |
| Third-party tool | Strongly recommended |
| Optimization cadence | Weekly |
| Reconciliation | Weekly, multi-source + monthly deep dive |

---

## Quick-Reference: Model-to-Decision Mapping

When you need to make a specific decision, use this table to find the right model instantly.

| Decision | Model | Why |
|----------|-------|-----|
| How to split budget between Google and Meta | Linear Paid | Prevents double-counting. Total = actual revenue. |
| Which Google Ads campaigns to scale | DDA (if 300+ conv) or Last Click | Shows which campaigns contribute, not just which close. |
| Whether to kill a Meta campaign | DDA + Conversion Delay Check | Never kill on 7-day data if your delay is longer. |
| Reporting to CFO/CMO | Last Click | Closest to Shopify. Easiest to explain and defend. |
| Evaluating prospecting impact | First Click or DDA | Prospecting gets zero last-click credit but drives discovery. |
| Comparing platform self-reported data | Triple Attribution | Mirrors how each platform reports. Do not use for totals. |
| Understanding organic contribution | Linear All | Includes organic, email, and direct in the credit distribution. |
| Setting ROAS targets per channel | Linear Paid | Channel ROAS based on fair credit. Targets are meaningful. |
| Deciding if you need a third-party tool | N/A | If 2+ channels and $20K+/month, the tool pays for itself. |

---

---

## Worked Example

**Scenario**: Mid-size DTC skincare brand. Shopify store. $28K/month ad spend across Google Ads ($18K) and Meta Ads ($10K). Selling serums, moisturizers, and bundles. AOV: $67. Monthly Shopify orders: 380.

### Walking Through the 4 Decisions

**Decision 1: Monthly Conversion Volume**
- Shopify orders last month: 380
- Falls in: **300-499 conversions** bracket
- Primary model: **Data-Driven Attribution**
- Secondary model: Last Click (cross-reference)
- Optimization cadence: Weekly with biweekly strategic review

**Decision 2: Number of Active Ad Channels**
- Google Ads (Search + Shopping + PMax) = 1 channel
- Meta Ads (Facebook + Instagram) = 1 channel
- Total: **2 channels** (Google + Meta)
- Cross-channel model: **Linear Paid** (required)
- Reconciliation: 3-source (GA4 vs Platform sum vs Shopify)
- Risk level: MEDIUM (overlap typically 20-40%)

**Cross-channel reality check**: Google reports $42K attributed revenue. Meta reports $31K. Sum = $73K. Shopify shows $58K actual revenue. Overlap = $15K (26%). This is why we need Linear Paid - summing platforms overcounts by 26%.

**Decision 3: Average Conversion Delay**
- Ran the Conversion Delay Calculator: 68% of conversions happen Day 0-3, 89% within 7 days
- Average delay: **Under 7 days**
- GA4 acquisition lookback: 30 days (default is fine)
- GA4 engagement lookback: 90 days
- Google Ads window: 30 days
- Meta window: 7-day click (sufficient for this delay profile)
- Campaign evaluation: After 7-14 days
- ROAS reporting lag: 3 days

**Decision 4: Third-Party Attribution Tool**
- 2 channels + $28K/month spend = **MAYBE** territory
- Manual reconciliation takes ~40 min/week currently
- Decision: **Hold off for now**. Manual reconciliation is manageable. Will reconsider if adding a 3rd channel (TikTok planned for Q3) or spend exceeds $40K/month.

### Final Configuration

| Setting | Value |
|---------|-------|
| GA4 attribution model | Data-Driven Attribution |
| GA4 acquisition window | 30 days |
| GA4 engagement window | 90 days |
| Google Ads model | Data-Driven Attribution |
| Google Ads window | 30 days |
| Cross-channel model | Manual Linear Paid approximation |
| Third-party tool | Not needed yet (revisit Q3) |
| Optimization cadence | Weekly with biweekly strategic review |
| Reconciliation | Weekly, 3-source |

### Model Usage in Practice

| Decision This Week | Model Used | Result |
|-------------------|-----------|--------|
| "Should I increase Google Shopping budget?" | DDA in Google Ads | Shopping campaigns show 4.2x DDA ROAS vs 3.8x Last Click. DDA reveals Shopping assists more conversions than Last Click shows. Decision: increase budget by 15%. |
| "How should I split budget between Google and Meta?" | Linear Paid (manual) | Shopify revenue = $58K. Google Linear Paid share = $38K (66%). Meta = $20K (34%). Current spend split is 64% Google / 36% Meta. Roughly aligned - hold current allocation. |
| "Should I kill this Meta prospecting campaign?" | DDA + Conversion Delay Check | Meta campaign shows 0.8x 7-day ROAS. But conversion delay data shows 11% of orders arrive Day 8-14. Extending the window to 14 days shows 1.3x. Decision: don't kill - it's profitable on a 14-day window. |
| "Monthly report for the founder" | Last Click | Total attributed revenue: $54K. Google: $36K. Meta: $18K. Matches Shopify closely. Clean, defensible numbers. |

---

## Your Turn

Work through all 4 decisions for your account:

**Decision 1**: Shopify orders last month: _____ -  Model: _____________

**Decision 2**: Active ad channels: _____ -  Cross-channel model: _____________

**Decision 3**: Conversion delay profile: _____ -  Windows: _____________

**Decision 4**: Third-party tool needed? _____ -  Selection: _____________

Then fill in the Configuration Matrix and write down your "which model for which decision" reference card.

---

## Interpretation Guide

| Situation | What It Means | Action |
|-----------|--------------|--------|
| Platform sum exceeds Shopify by 30%+ | Heavy cross-channel overlap - platforms are double-counting | Linear Paid is essential for budget allocation. Never trust platform totals. |
| DDA and Last Click agree within 10% | Simple customer journeys - most conversions are single-touch | Either model works. Stick with DDA for slightly better campaign-level signal. |
| DDA and Last Click diverge by 30%+ on one channel | That channel has lots of assist touches (usually prospecting) | Investigate with First Click model to see what's driving discovery |
| Conversion delay is 14+ days but you're using 7-day windows | You're undercounting conversions and making bad decisions | Extend windows immediately and stop evaluating campaigns before 21 days |
| Third-party tool shows different numbers than GA4 | Different models, different windows, different tracking methods | This is expected. Use each tool for its designated purpose (see Model-to-Decision table) |

*From: The Attribution Clarity Blueprint*
*C.L.A.R.I.T.Y. Protocol: Configure, Layer, Audit, Reconcile, Implement, Test, Yield*


# Bonus 1: Attribution Model Comparison Matrix

**Format**: Reference Guide
**Standalone Value**: $75

---

## How to Use This Matrix

Every attribution model answers a different question. The problem is that most brands pick one model and use it for everything - budget allocation, campaign optimization, stakeholder reporting, and platform comparison. That is four different questions answered with one tool.

This matrix shows you which model answers which question. Use it to pick the right model for the decision you are making right now.

---

## GA4 Attribution Models

### Data-Driven Attribution (DDA)

| Attribute | Detail |
|-----------|--------|
| **What it measures** | Distributes conversion credit across touchpoints using machine learning based on your account's actual conversion paths |
| **When to use it** | Campaign optimization within a single channel. Understanding which campaigns contribute to conversions even without last-click credit. Full-funnel health analysis. |
| **When NOT to use it** | Budget allocation across channels (double-counts). Accounts with under 300 monthly conversions (algorithm falls back to simplified last-click). Stakeholder reporting where you need numbers to match Shopify. |
| **Minimum data needed** | 300+ conversions per month for reliable output. Below 300, the model does not have enough paths to identify meaningful patterns. Below 100, it is essentially random. |
| **Best decisions** | Campaign optimization, prospecting campaign valuation, understanding assist interactions |
| **Watch out for** | DDA in GA4 only looks at Google touchpoints by default. It cannot see Meta, TikTok, or email touches unless they are captured via UTM parameters. Your "data-driven" model might be data-driven across a partial picture. |

### Last Click

| Attribute | Detail |
|-----------|--------|
| **What it measures** | 100% of conversion credit goes to the final touchpoint before purchase |
| **When to use it** | Budget allocation (clean, no double-counting). Stakeholder reporting (closest match to Shopify numbers). Accounts with under 300 monthly conversions where DDA is unreliable. |
| **When NOT to use it** | Evaluating prospecting or awareness campaigns (they rarely get last-click credit). Understanding full customer journeys. Deciding whether to invest in top-of-funnel. |
| **Minimum data needed** | Any conversion volume. Works with 10 conversions or 10,000. |
| **Best decisions** | Budget allocation between channels, reporting, direct-response campaign evaluation |
| **Watch out for** | Branded search will eat most of the credit. A customer discovers you through Meta, researches you on Google, and buys through a branded search click. Last-click gives 100% credit to branded search and 0% to Meta. This does not mean Meta is not working. |

---

## Google Ads Attribution Models

### Data-Driven Attribution (Google Ads)

| Attribute | Detail |
|-----------|--------|
| **What it measures** | Same ML approach as GA4 DDA but scoped to Google Ads touchpoints only. Distributes credit across Google campaigns, ad groups, and keywords based on their statistical contribution to conversions. |
| **When to use it** | Optimizing within Google Ads. Understanding which keywords and campaigns assist conversions. Feeding Smart Bidding with nuanced conversion signals. |
| **When NOT to use it** | Cross-channel budget allocation (it only sees Google). Accounts with under 300 Google Ads conversions per month. Comparing Google performance to Meta or other channels. |
| **Minimum data needed** | 300+ Google Ads conversions per month. Google previously required 3,000 clicks and 300 conversions in 30 days, though the threshold has been relaxed. Below 300 conversions, reliability drops significantly. |
| **Best decisions** | Google Ads campaign optimization, keyword valuation, Smart Bidding accuracy |
| **Watch out for** | Google Ads DDA and GA4 DDA will show different numbers for the same campaigns because they use different data sets and different attribution scopes. This is expected, not an error. |

### Last Click (Google Ads)

| Attribute | Detail |
|-----------|--------|
| **What it measures** | 100% credit to the last Google Ads click before conversion |
| **When to use it** | Accounts under 300 monthly conversions. Direct-response campaign evaluation. When you need a simple, explainable model for budget decisions. |
| **When NOT to use it** | Accounts running significant prospecting or YouTube campaigns (they will show near-zero conversions under last-click even when they are driving downstream purchases). |
| **Minimum data needed** | Any volume |
| **Best decisions** | Budget allocation within Google Ads, low-volume account optimization |

### First Click (Legacy)

| Attribute | Detail |
|-----------|--------|
| **What it measures** | 100% credit to the first Google Ads touchpoint in the conversion path |
| **When to use it** | Understanding which campaigns introduce new customers to your brand. Valuing top-of-funnel discovery campaigns. Evaluating prospecting performance. |
| **When NOT to use it** | Budget allocation (over-credits awareness, under-credits closing). Day-to-day campaign management. Most operational decisions. |
| **Minimum data needed** | Any volume |
| **Best decisions** | Prospecting campaign valuation, new customer acquisition analysis |
| **Watch out for** | Google removed first-click from GA4 in 2023 but it still exists in some Google Ads reporting views. If you are using it, you are looking at a model that Google has deprecated because it told an incomplete story. |

---

## Meta Attribution Models

### 7-Day Click + 1-Day View (Default)

| Attribute | Detail |
|-----------|--------|
| **What it measures** | Credits Meta with a conversion if the user clicked an ad within 7 days of purchase OR viewed an ad within 1 day of purchase (without clicking) |
| **When to use it** | In-platform optimization within Meta. Understanding Meta's self-reported performance. Comparing performance across Meta campaigns. |
| **When NOT to use it** | Cross-channel budget allocation (view-through inflates Meta numbers vs channels that only count clicks). Comparing Meta revenue to GA4 revenue (GA4 does not track views). Determining total attributed revenue. |
| **Minimum data needed** | Meta requires minimum ~50 conversions per week per ad set for stable optimization. Below that, the ad set is in limited learning. |
| **Best decisions** | Meta campaign optimization, creative testing, audience evaluation |
| **Watch out for** | View-through conversions account for 15-40% of Meta's self-reported conversions. A user scrolls past your ad without clicking, then searches your brand on Google and buys. Meta takes credit. Google takes credit. Shopify records one sale. If you sum Meta + Google, you have $200 from a $100 order. This is not fraud - it is how overlapping attribution windows work. |

### Click-Only Options (7-Day Click, 1-Day Click)

| Attribute | Detail |
|-----------|--------|
| **What it measures** | Only credits Meta with conversions where the user actually clicked an ad (no view-through) |
| **When to use it** | Comparing Meta to GA4 (GA4 is click-only, so this creates an apples-to-apples comparison). Cross-channel budget allocation where you need consistent methodology. Understanding Meta's click-driven performance separate from view-through halo. |
| **When NOT to use it** | Evaluating brand awareness campaigns (awareness generates views, not clicks). Full Meta performance assessment (you would be ignoring a legitimate attribution signal). |
| **Minimum data needed** | Same as standard Meta - 50+ conversions per week per ad set |
| **Best decisions** | Cross-platform comparison, isolating click-driven revenue |
| **Watch out for** | Switching to click-only in your comparison view will show Meta performing 15-40% worse than the default view. That is expected. You are removing view-through conversions from the count. This does not mean Meta is performing worse - it means you are measuring a narrower slice of its impact. |

---

## Triple Whale Attribution Models

### Linear Paid

| Attribute | Detail |
|-----------|--------|
| **What it measures** | Divides conversion credit equally among all paid touchpoints in the customer journey. If a customer clicked a Meta ad and then a Google ad before buying $100 worth of product, each channel gets $50. |
| **When to use it** | Budget allocation across paid channels. This is the single best model for "how should I split my budget between Meta and Google?" The total always adds up to actual revenue - no inflation, no double-counting. |
| **When NOT to use it** | Understanding which specific campaign closed the deal. Platform-to-platform comparison (use Triple Attribution for that). Valuing organic or email contribution. |
| **Minimum data needed** | Triple Whale's pixel needs 7-14 days of data for stable attribution. More data means more reliable path analysis. |
| **Best decisions** | Cross-channel budget allocation - this is the primary use case |
| **Watch out for** | Linear attribution gives equal credit regardless of touchpoint order or recency. A Meta ad that introduced the customer 28 days ago gets the same credit as the Google Shopping ad they clicked 2 hours before buying. This is a simplification, but it is a useful simplification for budget math. |

### Linear All

| Attribute | Detail |
|-----------|--------|
| **What it measures** | Same as Linear Paid but includes organic touchpoints (SEO, direct, email, social organic). Credit is divided among ALL touchpoints, not just paid. |
| **When to use it** | Full-funnel understanding of how paid and organic channels work together. Answering "what percentage of our revenue is driven by paid vs organic vs email?" Understanding the true blended acquisition cost. |
| **When NOT to use it** | Paid channel budget allocation (organic dilutes paid credit, making ROAS look lower than reality). Evaluating individual paid campaigns. Reporting paid channel efficiency to stakeholders. |
| **Minimum data needed** | Same as Linear Paid |
| **Best decisions** | Full-funnel analysis, organic vs paid contribution assessment |
| **Watch out for** | When you include organic and email in the attribution mix, every paid channel's credited revenue drops. Your Google Ads ROAS might go from 3.5x (Linear Paid) to 2.1x (Linear All). That does not mean Google got worse. It means organic and email are getting their share of credit. Use Linear Paid for paid budget decisions and Linear All for holistic business analysis. |

### Triple Attribution (Total Impact)

| Attribute | Detail |
|-----------|--------|
| **What it measures** | Gives each platform 100% credit for every conversion it touched. If a customer clicked Meta and Google before buying $100, Meta gets $100 AND Google gets $100. Total attributed revenue: $200 from a $100 order. |
| **When to use it** | Comparing one platform's self-reported data to Triple Whale's data for the same platform. Understanding platform overlap. Auditing whether Meta's Ads Manager matches Triple Whale's Meta attribution. |
| **When NOT to use it** | Total revenue calculation (it will exceed actual revenue by 30-100%+). Budget allocation (inflated numbers lead to inflated confidence). The "All Channels" dashboard view (this is the #1 mistake we find in Triple Whale accounts). Stakeholder reporting. |
| **Minimum data needed** | Same as other Triple Whale models |
| **Best decisions** | Platform audit, overlap analysis |
| **Watch out for** | This is the most dangerous model in the entire matrix. We find it used incorrectly in roughly 1 of every 5 Triple Whale accounts we audit. Brands run Triple Attribution on the All Channels dashboard, see $120K in attributed revenue on $100K in Shopify sales, and either ignore the gap or assume they have "missed orders." They do not. They have double-counted orders. If your Triple Whale revenue exceeds Shopify, check which model you are using. |

---

## Northbeam Attribution Models

### Linear

| Attribute | Detail |
|-----------|--------|
| **What it measures** | Similar to Triple Whale's Linear Paid - distributes credit equally across touchpoints in the conversion path. Uses Northbeam's proprietary tracking pixel and click/impression data. |
| **When to use it** | Cross-channel budget allocation. Northbeam's linear model is generally more granular than Triple Whale's due to longer tracking windows and ML-enhanced path stitching. |
| **When NOT to use it** | Same limitations as any linear model - does not weight recency or touchpoint importance. |
| **Minimum data needed** | Northbeam recommends $50K+/month in ad spend for reliable multi-touch analysis. Below that, paths are too sparse for the ML models to learn. |
| **Best decisions** | Budget allocation, channel efficiency comparison |

### First Touch

| Attribute | Detail |
|-----------|--------|
| **What it measures** | 100% credit to the first touchpoint Northbeam identifies in the conversion path |
| **When to use it** | Understanding which channels drive initial customer discovery. Valuing prospecting campaigns. Answering "where do new customers come from?" |
| **When NOT to use it** | Budget allocation (over-credits top-of-funnel). Day-to-day optimization. Revenue reporting. |
| **Minimum data needed** | Same as Northbeam Linear |
| **Best decisions** | New customer acquisition analysis, prospecting evaluation |

### Last Touch

| Attribute | Detail |
|-----------|--------|
| **What it measures** | 100% credit to the last touchpoint Northbeam identifies before conversion |
| **When to use it** | Comparable to last-click in other platforms. Understanding which channel closes the sale. Clean reporting that roughly matches Shopify. |
| **When NOT to use it** | Evaluating awareness or prospecting (they get zero credit). Full-funnel understanding. |
| **Minimum data needed** | Same as Northbeam Linear |
| **Best decisions** | Closing channel identification, Shopify-comparable reporting |

---

## Quick Decision Guide

Stop guessing which model to use. Match the decision you need to make with the model that answers it.

### Decision: Budget Allocation Across Channels

**Use**: Linear Paid (Triple Whale) or Last Click (GA4/Google Ads)

**Why**: Both prevent double-counting. Linear Paid divides credit so the total equals actual revenue. Last Click gives 100% to the closer so there is no overlap. Either gives you clean numbers for "Channel A gets X%, Channel B gets Y%."

**Do not use**: Triple Attribution (double-counts), DDA (partial double-counting across channels), Meta default (includes view-through that other channels cannot see).

---

### Decision: Campaign Optimization Within a Channel

**Use**: DDA (if 300+ conversions per month in that channel)

**Why**: DDA identifies which campaigns, ad groups, and keywords contribute to conversions even without last-click credit. This is critical for prospecting campaigns that warm up customers but rarely close the deal directly. DDA surfaces that contribution.

**Fallback**: If under 300 conversions per month, use Last Click as primary and check the Model Comparison report in GA4 to see where DDA and Last Click disagree. The disagreements reveal where your prospecting campaigns are being undervalued.

---

### Decision: Platform Comparison (Meta vs Google Self-Reported)

**Use**: Triple Attribution (Triple Whale) or compare each platform's self-reported data to its own baseline

**Why**: Triple Attribution mirrors how each platform reports - giving full credit to every platform that touched the customer. This lets you compare "what Meta says" to "what Triple Whale says about Meta" on equal footing. Use this ONLY for validating platform reporting accuracy, never for total revenue.

**Do not use**: Linear (it splits credit, which will always show lower per-platform numbers than the platform reports). Last Click (will not match Meta because Meta includes view-through and assisted conversions).

---

### Decision: Stakeholder Reporting

**Use**: Last Click (GA4 or Google Ads)

**Why**: Last Click produces numbers closest to Shopify because one conversion gets one credit. When your CFO asks "how much revenue did Google Ads drive?" Last Click gives the most conservative, defensible answer. It will not match Shopify exactly (nothing will), but the gap is typically the smallest and easiest to explain.

**Do not use**: DDA (distributes partial credit, harder to explain), Triple Attribution (inflated totals that will not reconcile with the P L), Linear All (organic dilution makes paid performance look worse than it is).

---

### Decision: Evaluating Prospecting / Top-of-Funnel

**Use**: First Click (if available) or DDA

**Why**: Prospecting campaigns introduce new customers. They rarely close the deal directly. First Click gives them full credit for the introduction. DDA gives them partial credit for their contribution. Last Click gives them zero credit - which is why brands kill profitable prospecting campaigns.

**Combination approach**: Run DDA as your primary view and compare against Last Click. Any campaign that shows high DDA credit but low Last Click credit is an assist campaign. Do not kill it based on Last Click alone.

---

## Model Selection by Conversion Volume

| Monthly Conversions | Primary Model | Secondary Model | Notes |
|---------------------|---------------|-----------------|-------|
| Under 100 | Last Click | None (not enough data for anything else) | DDA is unreliable. Keep it simple. Focus on getting more data before adding model complexity. |
| 100-299 | Last Click | DDA (view only, do not make decisions based on it) | DDA is partially functional. Use it to spot large discrepancies but do not trust the specific numbers. |
| 300-499 | DDA | Last Click (cross-reference) | DDA is working but still learning. Compare DDA and Last Click monthly. Where they agree, you have high confidence. Where they disagree, investigate. |
| 500+ | DDA | Last Click + Linear Paid (for cross-channel) | Full model stack. DDA for within-channel optimization. Last Click for reporting. Linear Paid for budget allocation across channels. |

---

## Attribution Window Quick Reference

For accurate cross-platform comparison, you need to know what window each platform uses.

| Platform | Default Click Window | Default View Window | Adjustable? |
|----------|---------------------|---------------------|-------------|
| GA4 | 30 days (acquisition) / 90 days (engagement) | None | Yes - Admin   Attribution Settings |
| Google Ads | 30 days | 1 day (YouTube/Display only) | Yes - per conversion action |
| Meta | 7 days | 1 day | Compare view only (cannot change default) |
| TikTok | 7 days | 1 day | Yes - up to 28-day click |
| Triple Whale | 28 days (default) | None | Yes - up to 365 days |
| Northbeam | Varies by model | ML-determined | Limited |

**Key implication**: When comparing Meta (7-day click) to Triple Whale (28-day), Triple Whale will capture conversions that Meta "forgot" after day 7. This is not a discrepancy. This is a measurement scope difference. Align windows before comparing.

---

*From: The Attribution Clarity Blueprint*
*C.L.A.R.I.T.Y. Protocol: Configure, Layer, Audit, Reconcile, Implement, Test, Yield*


# Bonus 2: GA4 Configuration Checklist

**Format**: 8-Point Audit Checklist
**Standalone Value**: $97

---

## Why This Checklist Exists

70% of attribution problems start with misconfigured GA4 settings. Not broken tracking code. Not missing pixels. Wrong settings in Admin panels that nobody checks after initial setup.

This checklist covers the 8 configuration items we audit on every new account. It takes 30-45 minutes to complete. We have never run it on an account and found zero issues. Every account has at least one misconfiguration. Most have three or four.

Run through each checkpoint in order. Fix as you go. By the end, your GA4 property will be correctly configured for accurate attribution.

---

## Checkpoint 1: Reporting Identity - Set to "Blended"

### Where to Find It

**Navigation**: GA4   Admin   Property Settings   Data Collection and Modification   Data Collection   Reporting Identity

### What to Set

Select **"Blended"** (this may also appear as "Blended" under the Reporting Identity section).

### Why It Matters

GA4 uses your reporting identity setting to determine how it identifies users across sessions and devices. There are three options:

- **Device-based**: Only uses the device ID (cookie). A user on mobile and desktop is counted as two separate users. Cross-device journeys break.
- **Observed**: Uses Google Signals (logged-in Google users) plus device ID. Better cross-device tracking, but gaps when users are not logged in.
- **Blended**: Uses device ID + Google Signals + Google's behavioral modeling to fill gaps. This gives you the most complete picture of user journeys.

Blended combines all available data sources and adds modeled data for gaps - users who were likely the same person across devices but could not be deterministically matched. It is the most accurate option for e-commerce attribution.

### Common Error

Many accounts are still on "Device-based" because that was the GA4 default during early migration. If you set up GA4 before mid-2023 and never changed this, check it now.

### Impact of Getting It Wrong

Device-based identity can undercount users by 15-25% and completely break cross-device conversion paths. A customer who discovers your product on mobile and buys on desktop shows as two users with the desktop purchase attributed to "direct" instead of the original campaign.

---

## Checkpoint 2: Google Signals - Enabled

### Where to Find It

**Navigation**: GA4   Admin   Property Settings   Data Collection and Modification   Data Collection   Google Signals Data Collection

### What to Set

Toggle **Google Signals data collection** to **ON**.

### Why It Matters

Google Signals uses data from users who are signed into their Google accounts and have opted into Ads Personalization. When enabled, GA4 can:

- Track users across devices (mobile, desktop, tablet) when they are logged into Google
- Access demographic and interest data for audience building
- Improve Data-Driven Attribution accuracy by stitching cross-device paths

Without Google Signals, GA4 relies entirely on cookies for user identification. Cookies are device-specific and expire (Safari ITP: 7 days). Google Signals provides a persistent identifier for logged-in users that survives cookie deletion.

### Privacy Note

Enabling Google Signals may trigger **thresholding** in your reports. When the user count for a specific segment is too small, GA4 will hide the data to protect user privacy. This usually appears as "(not set)" or missing rows in reports with very specific filters.

This is a tradeoff worth making. The cross-device tracking improvement far outweighs the occasional thresholded report row. If thresholding is causing problems in specific reports, widen your date range or reduce the number of dimensions to increase the user count above the threshold.

### Common Error

Google Signals is OFF by default. If you never explicitly turned it on, it is off. Check it.

### Impact of Getting It Wrong

Without Google Signals, cross-device attribution is limited to cookie-based matching. For e-commerce brands where 30-50% of customers research on mobile and buy on desktop, this means a significant portion of your conversion paths are invisible to GA4.

---

## Checkpoint 3: Attribution Model - Data-Driven or Last Click

### Where to Find It

**Navigation**: GA4   Admin   Property Settings   Attribution Settings   Reporting Attribution Model

### What to Set

- **If you have 300+ monthly conversions**: Select **Data-Driven Attribution**
- **If you have under 300 monthly conversions**: Select **Last Click**

### Why It Matters

GA4 offers two attribution models:

- **Data-Driven Attribution (DDA)**: Uses machine learning to distribute conversion credit across touchpoints based on their actual contribution to conversions in your account
- **Last Click**: 100% of credit goes to the last interaction before conversion

DDA is the more sophisticated option, but it has a hard requirement: sufficient data. Google states that DDA uses your data to calculate the actual contribution of each click interaction. With fewer than 300 monthly conversions, the algorithm does not have enough conversion paths to learn from. It falls back to a simplified model that approximates last-click - meaning you are running DDA in name only.

### How to Check Your Monthly Conversions

1. Go to GA4   Reports   Monetization   Ecommerce Purchases
2. Set date range to the last 30 days
3. Look at total purchase events

If the number is below 300, switch to Last Click. You are not losing anything - the DDA model was not working properly for your account anyway. You are gaining honesty about what your data actually says.

### Common Error

DDA is the default in GA4. Most accounts are running it without checking whether they have enough conversions for it to function. We have audited accounts with 40-60 monthly conversions running DDA where the attribution assignments were essentially random.

### Impact of Getting It Wrong

Running DDA with insufficient data gives you attribution that looks scientific but is not. Prospecting campaigns get zero credit (same as last-click). Branded search gets everything (same as last-click). But because it says "Data-Driven" in the settings, the brand owner trusts numbers that deserve no trust.

---

## Checkpoint 4: Acquisition Lookback Window - 30 Days

### Where to Find It

**Navigation**: GA4   Admin   Property Settings   Attribution Settings   Acquisition Conversion Events Lookback Window

### What to Set

**30 days** (maximum for acquisition events).

### Why It Matters

The acquisition lookback window determines how far back GA4 looks to attribute a conversion to a marketing touchpoint for new user acquisition events (first_open, first_visit).

If a user clicks your ad on Day 1 and makes their first purchase on Day 25:

- With a 7-day window: The conversion is attributed to "direct" or "organic" (the ad click was too long ago)
- With a 30-day window: The conversion is correctly attributed to the ad campaign

For e-commerce, consideration cycles vary by price point. Products over $50 frequently have purchase delays of 7-14 days. Products over $200 can take 14-30+ days. A 7-day acquisition window systematically misses these delayed conversions and under-credits the campaigns that started them.

### Common Error

GA4 defaults to 30 days for acquisition events, which is correct. However, some accounts have this changed to 7 days during setup (common when following outdated Universal Analytics migration guides). Check it explicitly.

### Impact of Getting It Wrong

A shorter window means longer consideration cycles are attributed to the wrong source. This disproportionately hurts prospecting and awareness campaigns that start the customer journey but do not close it within 7 days.

---

## Checkpoint 5: Engagement Lookback Window - 90 Days

### Where to Find It

**Navigation**: GA4   Admin   Property Settings   Attribution Settings   Other Conversion Events Lookback Window

### What to Set

**90 days** (maximum).

### Why It Matters

The engagement lookback window applies to all conversion events EXCEPT acquisition events (those use the acquisition window from Checkpoint 4). This includes purchase events for returning customers, add-to-cart events, and any custom conversion events you have configured.

90 days is the maximum GA4 allows. Set it to 90 days for one reason: you can always shorten your analysis window in reports, but you cannot retroactively extend data you did not capture.

If your lookback is set to 30 days and a returning customer bought after a 45-day gap since their last ad interaction, that conversion is unattributed. You cannot go back and fix this - the attribution assignment was made at the time of conversion based on the window setting.

### Common Error

Some accounts have this set to 30 days or even 7 days, typically from copying a setting from the acquisition window without realizing they are different controls.

### Impact of Getting It Wrong

Returning customers with longer repurchase cycles lose their attribution. This makes remarketing and retention campaigns look worse than they are, because conversions that happen outside the window get attributed to "direct" instead of the remarketing campaign that triggered the return.

---

## Checkpoint 6: Enhanced Measurement - All Applicable Events

### Where to Find It

**Navigation**: GA4   Admin   Data Streams   Select your web stream   Enhanced Measurement

### What to Set

Enable all events that apply to your site:

- **Page views**: ON (always)
- **Scrolls**: ON (tracks 90% scroll depth)
- **Outbound clicks**: ON (tracks clicks to external domains)
- **Site search**: ON (tracks internal search queries)
- **Video engagement**: ON if you have embedded videos
- **File downloads**: ON if you offer downloadable content
- **Form interactions**: ON if you have lead forms

### Why It Matters

Enhanced measurement events give GA4 additional behavioral signals about user engagement. While these are not directly used in attribution calculations, they feed into the behavioral data that DDA uses to model conversion paths.

More behavioral data means DDA has more touchpoints to analyze, which improves its accuracy. It also gives you richer data in your Conversion Paths report for manual analysis.

### Common Error

Two common issues:

1. **None enabled**: Some accounts have enhanced measurement turned off entirely, usually because someone followed a guide that said "disable enhanced measurement to prevent duplicate events." This advice is outdated for most setups.

2. **Site search misconfigured**: The site search parameter defaults to "q" but many Shopify stores use "search_term" or other parameters. If site search data looks empty, check the query parameter setting.

### Impact of Getting It Wrong

Missing enhanced measurement events means less behavioral data for DDA to work with. The attribution model is less informed. Your Conversion Paths and User Explorer reports are also less useful for manual analysis.

---

## Checkpoint 7: Conversion Counting - "Once" for Purchases

### Where to Find It

**Navigation**: GA4   Admin   Data Display   Events   Find your purchase event   Mark as Conversion   Click the event name   Counting Method

Alternatively: GA4   Admin   Data Display   Conversions   Select purchase   Counting Method

### What to Set

**Once** per session (not "Every").

### Why It Matters

GA4 lets you count conversions two ways:

- **Once**: Counts a maximum of one conversion per session, regardless of how many times the event fires
- **Every**: Counts every instance of the event as a separate conversion

For purchase events, "Once" is almost always correct. Here is why: if a customer completes a purchase and the thank-you page reloads (refresh, back-forward navigation, email confirmation redirect), the purchase event may fire multiple times in the same session. With "Every," each fire counts as a separate conversion. Your conversion count inflates.

"Every" is appropriate for events like add-to-cart where you legitimately want to count each instance. For purchases, one session = one transaction = one conversion.

### Common Error

GA4 defaults to "Once" for conversion counting, but some implementations change it to "Every" during setup - particularly when custom purchase events are configured through GTM where the default might differ. The dangerous version of this error: the conversion count looks "right" most of the time because most sessions only fire the event once. But the 5-10% of sessions that fire multiple times quietly inflate your numbers.

### Impact of Getting It Wrong

Conversion count inflation of 5-15%, depending on how often the purchase event fires multiple times per session. This inflates ROAS calculations, misleads Smart Bidding (in GA4-imported conversions), and creates reconciliation discrepancies against Shopify that are hard to diagnose because they are intermittent.

---

## Checkpoint 8: Data Streams - Verified for All Domains

### Where to Find It

**Navigation**: GA4   Admin   Data Streams

### What to Check

1. **All domains have a data stream**: If your site spans multiple domains (e.g., main site on yourstore.com, checkout on checkout.yourstore.com, blog on blog.yourstore.com), each needs to be captured.

2. **Cross-domain measurement is configured**: If customers navigate across domains during the purchase journey (common with headless Shopify setups or external checkout systems).

3. **Measurement ID is correct**: Verify the G-XXXXXXX ID in your data stream matches what is deployed on your site.

4. **No duplicate streams**: Some accounts have multiple web streams for the same domain, creating duplicate data.

### How to Verify

1. Open your data stream and note the Measurement ID
2. Visit your website and open browser Developer Tools (F12)
3. Go to Network tab, filter by "collect" or "gtag"
4. Verify the measurement ID in the network request matches your GA4 stream
5. Repeat on your checkout page and thank-you page

### Why It Matters

If your checkout process happens on a different domain (or subdomain) than your main site, and cross-domain measurement is not configured, GA4 treats the domain transition as a new session. The original campaign source is lost. The conversion gets attributed to the checkout domain as a referral instead of the campaign that drove the visit.

### Common Error

Shopify stores using custom domains frequently have this issue. The main site is on a custom domain, but Shopify's checkout runs on a different subdomain. Without cross-domain configuration, every purchase looks like it came from a Shopify referral instead of the ad that drove it.

### Impact of Getting It Wrong

Massive source/medium misattribution. Instead of seeing "google / cpc" driving your conversions, you see "checkout.myshopify.com / referral" driving everything. Your entire channel performance analysis is wrong because every conversion is credited to the checkout domain.

---

## Post-Checklist Verification

After completing all 8 checkpoints, run this verification:

### Immediate Verification (15 Minutes)

1. **DebugView test**: GA4   Admin   DebugView. Open your site with the Google Analytics Debugger Chrome extension. Browse to a product, add to cart, and complete a test purchase (or use a test order in Shopify). Verify the purchase event fires exactly once with the correct value.

2. **Realtime report**: GA4   Reports   Realtime. Verify active users are showing. Click through the event count to confirm purchase events are recording.

3. **Attribution settings confirmation**: GA4   Admin   Attribution Settings. Screenshot your settings. Compare against this checklist. Confirm all 8 items match.

### 7-Day Verification

One week after completing the checklist, pull these reports:

1. **GA4 purchase count vs Shopify order count**: The gap should be under 20% (and will improve further when you add server-side tracking in Chapter 5).

2. **Source/Medium report**: GA4   Reports   Acquisition   Traffic Acquisition. Verify your top campaigns are showing correct source/medium values. If "checkout.myshopify.com / referral" is a top source, revisit Checkpoint 8.

3. **Conversion Paths report**: GA4   Advertising   Attribution   Conversion Paths. Verify multiple touchpoints are showing (not just last-click single-touch paths). If you only see single-touch paths, Google Signals (Checkpoint 2) or your reporting identity (Checkpoint 1) may need attention.

---

## Configuration Summary

| Checkpoint | Setting | Correct Value |
|------------|---------|---------------|
| 1. Reporting Identity | Data Collection   Reporting Identity | Blended |
| 2. Google Signals | Data Collection   Google Signals | ON |
| 3. Attribution Model | Attribution Settings   Model | DDA (300+ conv) or Last Click ( 300) |
| 4. Acquisition Lookback | Attribution Settings   Acquisition Window | 30 days |
| 5. Engagement Lookback | Attribution Settings   Other Events Window | 90 days |
| 6. Enhanced Measurement | Data Streams   Enhanced Measurement | All applicable ON |
| 7. Conversion Counting | Events/Conversions   Purchase   Counting | Once |
| 8. Data Streams | Data Streams | All domains verified, cross-domain configured |

**Completion time**: 30-45 minutes for the full audit. Longer if you need to fix cross-domain measurement (Checkpoint 8).

**Re-audit cadence**: Run this checklist quarterly. GA4 updates can reset settings. Team members with admin access can change configurations. Settings drift. Check them.

---

*From: The Attribution Clarity Blueprint*
*C.L.A.R.I.T.Y. Protocol: Configure, Layer, Audit, Reconcile, Implement, Test, Yield*


# Bonus 3: Conversion Delay Calculator

**Format**: Spreadsheet Tool Guide
**Standalone Value**: $75

---

## What This Tool Measures

The conversion delay calculator measures the number of days between a customer's first ad interaction and their purchase. This is not an academic exercise. This single metric determines:

- Whether your attribution windows are wide enough to capture your actual conversions
- How long you should wait before making optimization decisions on a campaign
- Whether you are killing profitable campaigns by judging them too early
- What your minimum campaign run time should be before scaling or cutting

Most brands set their attribution window to the platform default and never question it. Meta defaults to 7-day click. Google Ads defaults to 30-day. But if 25% of your customers take 12 days to buy, Meta's 7-day window is missing a quarter of your conversions. And if you are evaluating campaigns at Day 7, you are making decisions on 75% of the data.

---

## How to Pull Your Conversion Delay Data

### From Google Ads

1. Go to **Tools   Settings** (wrench icon in the top navigation)
2. Click **Attribution** under Measurement
3. Select **Paths** from the left menu
4. Look at the **"Days to Conversion"** tab/view
5. Set the date range to the last 90 days for a stable sample
6. Export the data (download icon)

**What you get**: A breakdown showing what percentage of conversions happened on Day 0 (same day as click), Day 1, Day 2-3, Day 4-7, Day 8-14, Day 15-30, and Day 30+.

**Pro tip**: Filter by campaign type. Your branded search campaigns will show almost entirely Day 0 conversions (people searching your name are ready to buy). Your prospecting campaigns will show much longer delays. Averaging them together hides the campaigns that actually need longer windows.

### From GA4

1. Go to **Advertising** in the left navigation
2. Click **Attribution**   **Conversion Paths**
3. Filter by your primary conversion event (purchase)
4. Set date range to the last 90 days
5. Examine the **"Days to Conversion"** breakdown
6. Export the data

**What you get**: Similar day-bucket breakdown showing how long users take from first touchpoint to conversion within GA4's attribution scope.

**Important note**: GA4's "days to conversion" is limited by your lookback window setting (Checkpoint 4 and 5 in the GA4 Configuration Checklist). If your acquisition lookback is 30 days, GA4 cannot show you conversions that took longer than 30 days from first touch. The data is inherently capped by your window setting.

### Data You Need for the Calculator

For each channel (or at minimum, your top 2-3 ad channels), record:

| Day Bucket | Conversions | % of Total |
|------------|-------------|------------|
| Day 0 (same day) | ___ | ___% |
| Day 1 | ___ | ___% |
| Day 2-3 | ___ | ___% |
| Day 4-7 | ___ | ___% |
| Day 8-14 | ___ | ___% |
| Day 15-30 | ___ | ___% |
| Day 30+ | ___ | ___% |

---

## How to Interpret Your Results

### The Key Metrics

**Metric 1: Day 0-3 Conversion Rate**

Add up the percentage of conversions that happen on Day 0 through Day 3. This tells you what percentage of your customers are "impulse" or "ready to buy" converters.

- **90%+ on Day 0-3**: Your customers decide fast. 7-day attribution windows are probably sufficient. You are likely selling lower-priced impulse products or running strong remarketing.
- **70-89% on Day 0-3**: Most customers are fast, but a meaningful chunk takes longer. 14-day windows are safer.
- **Under 70% on Day 0-3**: Your customers need time. If you are making decisions at Day 7, you are working with incomplete data.

**Metric 2: Post-Day-7 Conversion Rate**

What percentage of conversions happen AFTER Day 7?

- **Under 5%**: 7-day windows capture nearly everything. Meta's default works for your business.
- **5-14%**: You are losing a non-trivial slice. A 14-day window would be more accurate.
- **15%+**: 7-day windows are significantly under-reporting. You need 14-day minimum, probably 30-day.
- **25%+**: You have a long consideration cycle. 30-day windows are required. You may also need to check if your 30-day window is long enough.

**Metric 3: Post-Day-14 Conversion Rate**

What percentage happens after Day 14?

- **Under 5%**: 14-day windows capture the vast majority.
- **5-14%**: Consider 30-day windows.
- **15%+**: 30-day windows are the minimum. Your product has an extended consideration cycle and you should build campaign evaluation cadence around this reality.

---

## The Decision Framework

### Attribution Window Selection

| Your Data Shows | Recommended Window | Action |
|----------------|-------------------|--------|
| 90%+ converts Day 0-3 | 7-day click window is acceptable | Meta default works. Google Ads can stay at 30-day (no harm). |
| 15%+ converts after Day 7 | 14-day minimum | Extend Meta comparison window (via Triple Whale or internal analysis). Set Google Ads window to minimum 14-day. |
| 15%+ converts after Day 14 | 30-day minimum | Google Ads window must be 30-day. Meta self-reported data will undercount - use a third-party tool with 28-30 day window for true Meta measurement. |
| 15%+ converts after Day 30 | 30-day + supplemental analysis | You have hit GA4's maximum lookback for acquisition events. Consider Northbeam or Triple Whale with extended windows (up to 365 days) for full-cycle measurement. |

### Campaign Evaluation Cadence

Your conversion delay directly determines how often you should evaluate campaign performance.

| Average Conversion Delay | Minimum Evaluation Period | Notes |
|--------------------------|---------------------------|-------|
| 1-3 days | 7 days | Check weekly. Safe to optimize weekly. |
| 3-7 days | 14 days | Check weekly for directional trends. Optimize biweekly. |
| 7-14 days | 21-28 days | Weekly monitoring for anomalies only. Do NOT optimize until 3 weeks of data. |
| 14-30 days | 30-45 days | Monthly optimization cadence. Resist the urge to check daily. |
| 30+ days | 60 days | You are selling high-consideration products. Build patience into your process. |

**The rule of thumb**: Wait at least 2x your average conversion delay before making scaling or cutting decisions on a campaign. If your average delay is 10 days, do not judge a campaign until it has been running at least 20 days.

### Minimum Campaign Run Time

Before killing any campaign:

1. Look up your conversion delay for that campaign type (prospecting vs remarketing - they will differ)
2. Multiply the average delay by 2
3. That is your minimum run time before a kill decision
4. If the campaign has not run that long, you do not have enough data to judge it

**Example**: Your prospecting campaigns show an average 12-day conversion delay. Minimum run time before killing = 24 days. If you kill a prospecting campaign at Day 7, you have seen roughly 40% of the conversions it will generate. You are judging a campaign on less than half its output.

---

## Price Point Benchmarks

Your product price strongly predicts conversion delay. Use these benchmarks to sanity-check your data and to set initial attribution windows if you do not yet have enough conversion delay data.

| Price Point | Typical Delay | Why | Initial Window Recommendation |
|-------------|---------------|-----|-------------------------------|
| Under $30 | 1-3 days | Low risk, impulse-friendly. Customers do not need to "think about it" for a $25 purchase. | 7-day |
| $30-$100 | 3-7 days | Some comparison shopping. Customers may browse competitors or wait for a coupon. | 14-day |
| $100-$300 | 7-14 days | Meaningful purchase. Research phase includes reading reviews, checking alternatives, discussing with partner. | 30-day |
| $300+ | 14-45+ days | High-consideration. Multiple site visits, email nurture sequences, possibly offline research. | 30-day (GA4 max) or extended via third-party tool |
| Subscription products | 7-21 days | First purchase decision includes evaluating ongoing commitment, not just one-time price. | 30-day |

### When Your Data Does Not Match These Benchmarks

If your conversion delay is significantly shorter than expected for your price point:

- You may have strong brand awareness driving ready-to-buy traffic
- Your remarketing is very effective at closing quickly
- You are running heavy promotions or urgency tactics that compress the decision timeline

If your conversion delay is significantly longer than expected:

- Your traffic may be more top-of-funnel than you realize
- Your site experience may have friction points that delay purchase decisions
- Your product category may require more education than the price alone suggests
- You might be in a competitive category where customers comparison shop extensively

Neither situation is "wrong." The point is to measure your actual delay and set windows accordingly - not to assume the benchmarks apply universally.

---

## Optimization Cadence by Delay Profile

### Fast Converters (90%+ Day 0-3)

**Weekly optimization cycle**:
- Monday: Pull last 7 days of data, compare to previous week
- Tuesday: Make bid adjustments, pause/enable ad sets, adjust budgets
- Thursday: Check mid-week trends for anything anomalous
- Friday: Set up any new tests for the following week

**ROAS reporting lag**: 3 days. Pull ROAS reports with a 3-day delay (compare through last Thursday, not yesterday).

### Medium Converters (70-89% Day 0-7)

**Biweekly optimization cycle**:
- Week 1 Monday: Review previous 14 days, identify trends
- Week 1 Tuesday: Make strategic adjustments (budget reallocation, audience changes)
- Week 2 Monday: Review impact of Week 1 changes (but understand it is only partial data)
- Week 2 Friday: Full assessment with near-complete data from Week 1 changes

**ROAS reporting lag**: 7 days. Never judge a campaign period that ended less than 7 days ago.

### Slow Converters (15%+ after Day 7)

**Monthly optimization cycle**:
- 1st of month: Review previous month's full data (now complete with 30-day lag)
- 1st week: Make strategic changes based on fully-lagged data
- Mid-month: Directional check only - do not make major changes based on incomplete data
- Last week: Prepare data for next month's review

**ROAS reporting lag**: 14-30 days depending on your specific delay profile. If you report "last month's ROAS" on the 1st of the next month, you are reporting an incomplete number. Wait until the 15th for a more accurate picture.

### Very Slow Converters (15%+ after Day 14)

**Quarterly optimization cycle** with monthly check-ins:
- Monthly: Review data that is 30+ days old for directional trends
- Quarterly: Make significant strategic changes (channel allocation, audience strategy, creative direction)
- Never: Kill a campaign based on 7-day or 14-day performance

**ROAS reporting lag**: 30+ days. Accept that you are always looking in the rearview mirror. Build this into stakeholder expectations. "Our ROAS for January will be fully calculated by mid-February."

---

## How to Set Up the Calculator Spreadsheet

### Tab 1: Raw Data Input

Create columns:
- Channel (Google Search, Google Shopping, Meta Prospecting, Meta Remarketing, etc.)
- Day 0 conversions
- Day 1 conversions
- Day 2-3 conversions
- Day 4-7 conversions
- Day 8-14 conversions
- Day 15-30 conversions
- Day 30+ conversions
- Total conversions

### Tab 2: Calculations (Auto-Generated)

For each channel, the spreadsheet calculates:
- Day 0-3 cumulative percentage
- Day 0-7 cumulative percentage
- Post-Day-7 percentage
- Post-Day-14 percentage
- Post-Day-30 percentage
- Recommended attribution window (based on the decision framework above)
- Recommended evaluation cadence
- Minimum campaign run time

### Tab 3: Comparison View

Side-by-side comparison across channels:
- Which channels convert fastest (best for quick-turn campaigns)
- Which channels have the longest delay (need patience and longer windows)
- Where your current window settings are leaving conversions on the table

### Update Cadence

Pull fresh conversion delay data quarterly. Purchase patterns shift with seasons, product launches, pricing changes, and audience composition.

---

## Real-World Application

### Scenario: Should You Kill This Campaign?

You launched a Meta prospecting campaign 10 days ago. It has spent $2,000. Meta reports 3 conversions worth $450. That is a 0.23x ROAS. Your target is 2.5x.

Before killing it, check your conversion delay data:

1. Your Meta prospecting campaigns show 35% of conversions happen after Day 7
2. At Day 10, you have captured roughly 70-75% of the conversions this spend will generate
3. Projected final conversions at Day 30: approximately 4.3 conversions (3 / 0.70)
4. Your average order value for prospecting customers is $180
5. Projected revenue: $774
6. Projected ROAS: 0.39x

Still below target? Yes. But "0.39x with full data" is a very different decision than "0.23x with partial data." The campaign is underperforming, but it is not as catastrophic as the Day 10 numbers suggest. You might give it another 10 days of data before making the call.

### Scenario: Are Your Attribution Windows Correct?

You are running Google Ads with a 30-day attribution window and Meta with the default 7-day click window. Your Google Ads ROAS is consistently 40% higher than Meta's.

Check your conversion delay data by channel:
- Google Ads: 85% converts Day 0-7, 10% converts Day 8-14, 5% converts Day 15-30
- Meta: 60% converts Day 0-7, 25% converts Day 8-14, 15% converts Day 15-30

Meta has a much longer conversion delay. Its 7-day window is missing 40% of the conversions it generates. Google's 30-day window captures nearly everything. The 40% ROAS gap between channels is not real - it is a measurement gap. Meta may be performing comparably to Google when measured on equal terms.

Action: Use Triple Whale or your own analysis with a 30-day window for both channels. Compare again. The gap will narrow significantly.

---

*From: The Attribution Clarity Blueprint*
*C.L.A.R.I.T.Y. Protocol: Configure, Layer, Audit, Reconcile, Implement, Test, Yield*


# Bonus 4: Data Reconciliation Template

**Format**: Google Sheets Template Guide
**Standalone Value**: $97

---

## What This Template Does

This is a pre-built Google Sheets workbook for weekly attribution reconciliation. Three sheets. One purpose: find out where your data sources disagree, how badly, and whether it matters.

The template compares revenue and conversion data across GA4, Google Ads, Meta Ads, and Shopify. It auto-calculates discrepancy rates with conditional formatting so problems are visible at a glance. Green means healthy. Yellow means investigate. Red means fix it now.

Set it up once. Spend 15 minutes every Monday pulling fresh numbers. In return, you get a clear picture of your tracking health and can catch configuration drift before it costs you money.

---

## Sheet 1: Revenue Reconciliation

### Purpose

Compare total revenue across all data sources against your commerce platform (Shopify is the ground truth). This answers the most fundamental question: "How much of my actual revenue does each platform see?"

### Column Structure

| Column | What to Enter | Where to Get It |
|--------|---------------|-----------------|
| Week | Date range (Mon-Sun) | Manual entry |
| Shopify Revenue | Total orders revenue | Shopify Admin   Analytics   Overview (or export) |
| Shopify Order Count | Total orders placed | Same report |
| GA4 Revenue | Purchase event revenue | GA4   Reports   Monetization   Ecommerce Purchases |
| GA4 Transactions | Purchase event count | Same report |
| Google Ads Revenue | Conversion value (native) | Google Ads   Campaigns   Columns: Conv. value |
| Google Ads Conversions | Conversion count | Google Ads   Campaigns   Columns: Conversions |
| Meta Revenue | Purchase value (default attribution) | Meta Ads Manager   Columns: Purchase ROAS or Purchase Value |
| Meta Purchases | Purchase count | Meta Ads Manager   Columns: Purchases |
| Platform Sum Revenue | Google Ads + Meta + other channels | Auto-calculated |
| Platform Sum vs Shopify | (Platform Sum / Shopify) - 1 | Auto-calculated |

### Auto-Calculated Metrics

The template generates these automatically:

**GA4 vs Shopify Gap** = (Shopify Revenue - GA4 Revenue) / Shopify Revenue

This tells you how much revenue GA4 is missing. This gap represents the combined effect of ad blockers, ITP, cross-device losses, and page load failures.

- Green: 0-12% gap (healthy - within expected range for client-side tracking)
- Yellow: 12-20% gap (concerning - investigate your data stream configuration, checkpoint 8 from the GA4 checklist)
- Red: 20%+ gap (critical - indicates a configuration problem beyond normal tracking loss)

**Platform Sum vs Shopify** = (Platform Sum / Shopify Revenue) - 1

This tells you how much cross-channel overlap exists. If Google Ads claims $50K and Meta claims $40K but Shopify shows $70K, your platform sum is $90K - a 29% inflation. That 29% represents shared credit - the same conversions being claimed by multiple platforms.

- Green: Platform sum is 0-30% above Shopify (normal overlap for multi-channel)
- Yellow: 30-60% above Shopify (high overlap - you need Linear Paid attribution for budget decisions)
- Red: 60%+ above Shopify (extreme overlap or possible conversion counting errors)

**Conversion Count Reconciliation** = Shopify Orders vs GA4 Transactions vs Platform Sum Conversions

If Google Ads shows 200 conversions and Meta shows 150 but Shopify only has 250 orders, those 100 "extra" platform conversions are shared credit - the same customer being counted by both platforms.

### How to Pull Data From Each Source

**Shopify**:
1. Go to Analytics   Overview
2. Set date range to the week you are reporting
3. Note "Total orders" and "Total sales" (gross revenue before refunds)
4. For net revenue: Analytics   Overview   Net sales

**GA4**:
1. Go to Reports   Monetization   Ecommerce Purchases
2. Set date range to the same week
3. Note the "Purchase revenue" total and "Ecommerce purchases" count
4. Important: GA4 processes data with a 24-48 hour delay. Pull data for the previous week, not the current one.

**Google Ads**:
1. Go to Campaigns view
2. Set date range to the same week
3. Add columns: Conversions, Conv. value
4. Use the "All campaigns" total row at the bottom
5. Verify you are looking at "Conversions" (primary actions only), not "All conversions"

**Meta Ads Manager**:
1. Go to Ads Manager   Campaigns
2. Set date range
3. Add columns: Purchases, Purchase conversion value
4. Use the account-level total
5. Note: Meta defaults to 7-day click + 1-day view attribution. Record which window you are using.

---

## Sheet 2: Channel Performance (Linear Paid Attribution)

### Purpose

Show true per-channel performance without double-counting. This is where you make budget allocation decisions. If you are using Triple Whale or Northbeam, pull Linear Paid data from there. If not, use the methodology below.

### Column Structure

| Column | What to Enter |
|--------|---------------|
| Week | Date range |
| Channel | Google Shopping, Google Search, Meta Prospecting, Meta Remarketing, TikTok, Email, Other |
| Revenue (Linear Paid) | Revenue attributed via Linear Paid model |
| Ad Spend | Actual spend for that channel and week |
| ROAS | Revenue / Spend (auto-calculated) |
| % of Total Revenue | Channel revenue / Total (auto-calculated) |
| % of Total Spend | Channel spend / Total spend (auto-calculated) |
| CPA | Spend / Conversions (auto-calculated) |
| Conv Count | Number of conversions attributed to this channel |
| AOV | Revenue / Conversions (auto-calculated) |

### Key Validation

**Revenue total must approximate Shopify**. If your Linear Paid column sums to $75K and Shopify shows $80K, the $5K gap is organic, direct, and email - channels not captured by Linear Paid. That is expected.

If Linear Paid sum EXCEEDS Shopify, something is wrong with your attribution setup. Linear Paid should never exceed actual revenue because it distributes credit proportionally.

### If You Do Not Have Triple Whale or Northbeam

You can approximate Linear Paid attribution manually:

1. Start with Shopify total revenue for the period
2. Subtract estimated organic/direct/email revenue (use GA4's source/medium report for this split)
3. The remainder is your paid-attributable revenue
4. Distribute proportionally based on each channel's last-click revenue share

This is an approximation. It is not as precise as a tool-based Linear Paid model. But it is significantly better than summing platform self-reported revenue and calling it a day.

### How to Use This Sheet for Budget Decisions

**Step 1**: Sort channels by ROAS (highest to lowest)

**Step 2**: Compare each channel's "% of Total Revenue" to its "% of Total Spend"

- Channel taking 40% of spend but driving 25% of revenue? Over-invested.
- Channel taking 15% of spend but driving 30% of revenue? Under-invested.

**Step 3**: Reallocate incrementally

Do not make 50% budget swings based on one week of data. Shift 10-15% at a time over 2-4 weeks. Monitor the impact.

---

## Sheet 3: Conversion Quality Metrics (Tracking Health Dashboard)

### Purpose

Track the health of your tracking infrastructure itself. This catches configuration drift, pixel issues, and server-side tracking problems before they contaminate your budget decisions.

### Metrics to Track

| Metric | Target | Where to Get It | Frequency |
|--------|--------|-----------------|-----------|
| GA4 vs Shopify Revenue Gap |  12% | Sheet 1 calculation | Weekly |
| GA4 vs Shopify Order Gap |  15% | Sheet 1 calculation | Weekly |
| Google Ads Enhanced Conv Rate |  80% | Google Ads   Conversions   Diagnostics | Weekly |
| Google Ads Conversion vs GA4 Import |  10% difference | Compare native vs imported | Weekly |
| Meta CAPI Match Rate |  85% | Meta Events Manager   Data Sources   Event Match Quality | Weekly |
| Meta Event Match Quality Score |  7.0 (Good or Great) | Meta Events Manager   Data Sources | Weekly |
| Average Conversion Delay | Know your number | Conversion Delay Calculator (Bonus 3) | Quarterly |
| Server-Side Event Delivery Rate |  95% | Stape/Elevar/GTM Server dashboard | Weekly |

### Conditional Formatting Rules

**GA4 vs Shopify Gap**:
- Green: 0-12%
- Yellow: 12-20%
- Red: 20%+

**Google Ads Enhanced Conversion Rate**:
- Green: 80%+
- Yellow: 60-79%
- Red: Under 60%

**Meta CAPI Match Rate**:
- Green: 85%+
- Yellow: 70-84%
- Red: Under 70%

**Meta Event Match Quality**:
- Green: 7.0+ (Good or Great)
- Yellow: 5.0-6.9 (OK)
- Red: Under 5.0 (Poor)

### Trend Analysis

The template includes a rolling 8-week trend row for each metric. A single yellow week is not alarming - it could be a data processing delay or a temporary issue. Two consecutive red weeks is a problem that needs investigation.

What to look for in trends:
- **Gradual drift upward** in GA4 vs Shopify gap: Your tracking is degrading. Check if a tracking script was removed, a new ad blocker update is blocking more pixels, or a site update broke the data layer.
- **Sudden spike** in any gap: Something broke. Check the specific date the gap appeared and correlate with site changes, GA4 updates, or platform pixel modifications.
- **Declining CAPI match rate**: Your server-side tracking data quality is dropping. Common causes: email field stopped populating, phone number format changed, or a checkout update removed customer data fields.

---

## Discrepancy Benchmarks

### What Is "Normal"?

Attribution will never be perfect. Every platform uses different models, different windows, and different data collection methods. The goal is not zero discrepancy. The goal is known, consistent, explainable discrepancy.

| Discrepancy Level | Range | What It Means | Action |
|-------------------|-------|---------------|--------|
| **Green** | 0-12% | Normal tracking loss from ad blockers, ITP, cross-device gaps. Expected range for well-configured client-side tracking. | Monitor. No action needed. |
| **Yellow** | 12-20% | Higher than expected. Likely cause: missing server-side tracking, misconfigured data stream, or a specific user segment being systematically dropped. | Investigate. Check GA4 Configuration Checklist. Consider server-side tracking if not yet implemented. |
| **Red** | 20%+ | Configuration problem. This level of discrepancy indicates broken tracking, not normal loss. | Fix immediately. Run through GA4 checklist, check for duplicate events, verify data streams, test purchase event firing. |
| **Critical** | 40%+ | Major tracking failure. Either your tracking code is not on all pages, your purchase event is misconfigured, or your data stream is pointing to the wrong property. | Stop making optimization decisions until fixed. The data is not directionally useful at this discrepancy level. |

### Discrepancy Sources Reference

When you find a gap, use this table to diagnose the likely cause:

| Symptom | Likely Cause | Fix |
|---------|-------------|-----|
| GA4 revenue 15-25% lower than Shopify | Ad blockers + Safari ITP blocking client-side tracking | Implement server-side tracking (Chapter 5) |
| GA4 revenue 25-40% lower than Shopify | Above causes + missing tracking on checkout/thank-you page | Verify GA4 fires on all checkout pages (Checkpoint 8) |
| Google Ads conv   GA4 conv for same channel | Google Ads uses enhanced conversions + different attribution model | Expected if enhanced conversions are enabled. Check counting method. |
| Google Ads conv   GA4 conv for same channel | GA4 counting micro-conversions or using "Every" counting | Check conversion counting method (Checkpoint 7) |
| Meta revenue    GA4 social revenue | Meta includes 1-day view-through; GA4 is click-only | Expected. Compare Meta click-only to GA4 for true comparison. |
| Platform sum 50%+ above Shopify | Heavy cross-platform overlap; same customers touching multiple channels | Normal for multi-channel. Use Linear Paid for allocation. |
| All platforms suddenly drop conversions | Tracking code removed or broken by site update | Check DebugView, verify purchase event fires on test order |

---

## Weekly Review Protocol (15 Minutes)

Run this every Monday for the previous week's data.

### Step 1: Revenue Check (3 minutes)

Open Sheet 1. Enter this week's numbers from Shopify, GA4, Google Ads, and Meta. Check the auto-calculated gaps.

- GA4 vs Shopify within 12%? Move on.
- Over 12%? Flag for investigation (see discrepancy sources reference above).

### Step 2: Channel Check (4 minutes)

Open Sheet 2. Enter Linear Paid revenue and spend by channel.

- Any channel ROAS below your target? Note it.
- Any channel's spend share significantly different from its revenue share? Flag for budget reallocation.
- Any channel showing a sudden ROAS change (30%+ week-over-week)? Investigate before making changes.

### Step 3: Tracking Health Check (3 minutes)

Open Sheet 3. Check your quality metrics.

- Enhanced conversion rate holding steady? Good.
- CAPI match rate holding steady? Good.
- Any metric in yellow or red? Prioritize fixing it this week.

### Step 4: Trend Scan (2 minutes)

Look at the 8-week trend rows. Any metric moving in the wrong direction across 2+ consecutive weeks?

- Yes: Add to investigation list.
- No: Move on.

### Step 5: Action Items (3 minutes)

Document any anomalies found in Steps 1-4. Write specific next steps:
- "GA4 gap increased from 11% to 16% - check if the Shopify theme update on Thursday affected the data layer"
- "Meta CAPI match rate dropped from 88% to 79% - check Events Manager diagnostics"
- "Google Shopping ROAS dropped 25% WoW - check for conversion delay before adjusting"

Rule: Do not make budget changes based on one anomalous week. Flag it, investigate, and confirm over a second week before acting.

---

## Monthly Deep-Dive Checklist

On the first Monday of each month, extend the weekly review to a 45-minute deep dive.

### Revenue Reconciliation Review

- [ ] Compare monthly totals (not just weekly) across all sources
- [ ] Calculate monthly discrepancy rates and compare to previous months
- [ ] Identify any new discrepancy trends that are not visible in weekly data
- [ ] Pull refund/return data from Shopify and verify it is not inflating the gap

### Channel Performance Audit

- [ ] Review full-month ROAS by channel (less noise than weekly)
- [ ] Calculate month-over-month ROAS trend per channel
- [ ] Identify any channel where monthly ROAS differs significantly from weekly averages (indicates conversion delay impact)
- [ ] Review spend allocation vs revenue allocation - are you investing proportionally to returns?

### Conversion Path Analysis

- [ ] Pull GA4 Conversion Paths report for the month
- [ ] Identify the top 5 multi-touch paths (which channel combinations drive the most revenue?)
- [ ] Compare DDA vs Last Click for each channel (where is the biggest disagreement?)
- [ ] Check if any channel's DDA credit is significantly higher than its last-click credit (indicates strong assist value)

### Infrastructure Health

- [ ] Run the GA4 Configuration Checklist (Bonus 2) - spot check 3-4 items
- [ ] Verify server-side tracking is still functioning (test order method)
- [ ] Check for any GA4 or Google Ads platform updates that may have changed defaults
- [ ] Review Meta CAPI event logs for any error patterns

---

## Quarterly Re-Audit Triggers

Every quarter, evaluate whether a full re-audit is needed. A full re-audit means running the complete GA4 Configuration Checklist and rebuilding the reconciliation baseline.

### Trigger a Full Re-Audit If:

- [ ] GA4 vs Shopify gap has increased by more than 5 percentage points vs last quarter
- [ ] You launched a new ad channel (TikTok, Pinterest, etc.) that is not yet in the reconciliation
- [ ] You changed your e-commerce platform or checkout flow
- [ ] You implemented or changed server-side tracking
- [ ] Google or Meta announced significant changes to their attribution models or tracking
- [ ] Your conversion volume crossed a threshold (e.g., crossed 300/month - time to re-evaluate DDA)
- [ ] You added or removed a third-party attribution tool
- [ ] Your monthly ad spend changed by more than 50% (scaling up or down changes the attribution dynamics)

### Quarterly Baseline Reset

After the re-audit, reset your benchmark numbers:
- New "normal" GA4 vs Shopify gap
- New channel ROAS baselines
- New tracking health metric targets

This prevents benchmark drift where a slowly increasing gap becomes "normal" because it increased gradually over 12 months.

---

## Template Setup Instructions

1. Make a copy of the template (link provided with product purchase)
2. Rename the copy with your brand name and the current quarter (e.g., "Attribution Reconciliation - BrandName - Q1 2026")
3. In Sheet 1, enter your first week of data from all four sources
4. In Sheet 2, enter channel-level performance data
5. In Sheet 3, populate your current tracking health metrics
6. Conditional formatting is pre-built - verify it is working by checking that your numbers show the correct colors based on the thresholds above
7. Set a recurring Monday calendar reminder: "15-min attribution check"
8. Set a first-of-month reminder: "45-min attribution deep dive"
9. Set a quarterly reminder: "Check re-audit triggers"

---

*From: The Attribution Clarity Blueprint*
*C.L.A.R.I.T.Y. Protocol: Configure, Layer, Audit, Reconcile, Implement, Test, Yield*


# Weekly Diagnostic Checklist

**Time**: 30 minutes | **Frequency**: Every Monday morning
**Framework**: P.U.L.S.E. Protocol - Systematize Cadence

  This is the operational heartbeat of your Google Ads account. Five checks, specific thresholds, clear actions. If you only do one thing from this playbook every week, do this.

---

## Before You Start

- Open Google Ads with **Last 7 days** selected
- Have last week's checklist nearby for comparison
- Set a 30-minute timer. If you're going over, you're investigating - not diagnosing. Note the issue and move on.

---

## Check 1: Budget Pacing (2 minutes)

Review every active campaign's spend against its daily budget.

### Pacing Table

| Campaign | Daily Budget | Yesterday Spend | Pacing % | 7-Day Avg Spend | Status |
|----------|-------------|-----------------|----------|-----------------|--------|
| | $ | $ | % | $ | |
| | $ | $ | % | $ | |
| | $ | $ | % | $ | |
| | $ | $ | % | $ | |
| | $ | $ | % | $ | |

### How to Calculate Pacing %

```
Pacing % = (7-Day Avg Daily Spend / Daily Budget) x 100
```

### Status Thresholds

| Status | Pacing % | What It Means |
|--------|----------|---------------|
| GREEN | 80-120% | Normal delivery. No action needed. |
| YELLOW | 50-80% or 120-150% | Watch. Could be seasonal, could be a problem. |
| RED | Below 50% | Severely underspending. Ads may not be serving. |
| RED | Above 150% | Overspending. Google's daily budget flexibility at work, but sustained overspend = problem. |

### Action Triggers

**Red - Overspend ( 150%)**:
1. Check if the bid strategy is in learning phase (recent changes trigger higher spend volatility)
2. Check if budget type was accidentally changed from daily to campaign total
3. Check if shared budgets are pulling spend from other campaigns
4. If sustained 3+ days: lower daily budget by 10-15% and monitor

**Red - Underspend ( 50%)**:
1. Check for ad disapprovals (Ads   extensions   filter by "Disapproved")
2. Check if targeting was narrowed recently (audiences, locations, demographics)
3. Check if bid floors are too low for current auction competition
4. Check impression share - is it budget lost or rank lost?
5. If all clear: the market may have contracted. Check Google Trends for seasonality.

**Yellow (50-80% or 120-150%)**:
1. Note it. Compare to last week.
2. If yellow for 2+ consecutive weeks in the same direction: investigate as if red.

---

## Check 2: Campaign Health Scan (5 minutes)

Quick pass across all campaigns for serving issues, disapprovals, and tracking breaks.

### Health Scan Checklist

- [ ] **Ad Disapprovals**: Filter ads by "Disapproved" or "Approved (limited)". Fix or appeal any found.
  - Count: ___ disapprovals found
  - Action taken: ___

- [ ] **Extension/Asset Disapprovals**: Check sitelinks, callouts, structured snippets. Silent disapprovals are common here.
  - Count: ___ disapprovals found
  - Action taken: ___

- [ ] **Campaign Status Flags**: Any campaigns showing "Eligible (limited)" or "Below first page bid"?
  - Campaigns flagged: ___
  - Action taken: ___

- [ ] **Bid Strategy Status**: Check each automated bid strategy for "Learning" or "Limited" status.
  - Learning campaigns: ___
  - Limited campaigns: ___
  - Note: Learning is normal for 1-2 weeks after changes. Limited needs investigation.

- [ ] **Negative Keyword Conflicts**: Run the negative keyword conflicts tool (Tools   Troubleshooting   Negative keyword conflicts). Even one conflict can silently block your best terms.
  - Conflicts found: ___
  - Resolved: ___

### Quick Reference: Common Silent Killers

| Issue | Where to Check | How Often It Happens |
|-------|---------------|---------------------|
| Sitelink disapproval | Extensions   Sitelinks | Very common after URL changes |
| Shared budget rebalancing | Settings   Shared budgets | Common with 3+ campaigns on shared budget |
| Location targeting drift | Settings   Locations   Matched locations | Happens when "presence or interest" is on |
| Conversion action deactivation | Tools   Conversions | After GA4 updates or tag changes |
| Audience list expiration | Audiences   filter by status | Lists under 1,000 users go inactive |

---

## Check 3: Search Term Review (10 minutes)

This is where you find the leaks. Every week. Non-negotiable.

### Search Term Audit Process

1. **Navigate**: Campaigns   Keywords   Search terms (last 7 days)
2. **Sort by cost** (highest first)
3. **Review the top 30-50 terms** by spend

### What to Look For

| Pattern | Example | Action |
|---------|---------|--------|
| Irrelevant queries eating budget | "free google ads course" on a paid product campaign | Add as exact match negative |
| Brand terms in non-brand campaigns | Your brand name showing in generic campaigns | Add brand negatives to generic campaigns |
| Competitor names you're not targeting | Competitor brand queries triggering your ads | Evaluate: intentional or accidental? |
| Close variants gone wrong | "google ads reporting" matching "google analytics reporting" | Add the wrong variant as a negative |
| Informational intent on commercial campaigns | "how to" or "what is" queries | Negative keyword or separate campaign |

### Search Term Log

| Search Term | Campaign | Clicks | Cost | Conv. | Action (Negative/Keep/Watch) |
|-------------|----------|--------|------|-------|------------------------------|
| | | | $ | | |
| | | | $ | | |
| | | | $ | | |
| | | | $ | | |
| | | | $ | | |

### Match Type Performance (Record Weekly)

| Match Type | Impressions | Clicks | CTR | Conv. | CPA | ROAS | Trend vs Last Week |
|-----------|-------------|--------|-----|-------|-----|------|--------------------|
| Exact | | | % | | $ | x | |
| Phrase | | | % | | $ | x | |
| Broad | | | % | | $ | x | |

**Rule of thumb**: If Broad match CPA is more than 2x your Exact match CPA with sufficient volume (50+ clicks), tighten Broad match or shift budget to Exact/Phrase.

---

## Check 4: Performance Anomaly Detection (8 minutes)

Compare this week to last week. Flag anything that moved more than the threshold.

### Week-over-Week Comparison

| Metric | This Week | Last Week | Change | Change % | Flag? |
|--------|-----------|-----------|--------|----------|-------|
| Impressions | | | | % | |
| Clicks | | | | % | |
| CTR | % | % | | pp | |
| Avg CPC | $ | $ | | % | |
| Cost | $ | $ | | % | |
| Conversions | | | | % | |
| Conv. Rate | % | % | | pp | |
| Conv. Value | $ | $ | | % | |
| ROAS | x | x | | % | |
| Cost/Conv. | $ | $ | | % | |

### Anomaly Thresholds

| Metric | Yellow Flag (Watch) | Red Flag (Investigate Now) |
|--------|--------------------|-----------------------------|
| Impressions | +/- 20% WoW | +/- 40% WoW |
| CTR | +/- 15% WoW | +/- 30% WoW |
| Avg CPC | +/- 15% WoW | +/- 30% WoW |
| Conversions | -15% WoW | -30% WoW |
| Conv. Rate | -15% WoW | -30% WoW |
| ROAS | -15% WoW | -25% WoW |
| CPA | +20% WoW | +40% WoW |

**Note on "pp"**: Percentage points. If CTR went from 4.0% to 3.5%, that's -0.5pp, or -12.5% relative change. Use relative change for thresholds.

### Investigation Priority Order

When you hit a red flag, investigate in this order:

1. **Tracking first** - Did something break? (Check 5 will confirm)
2. **External factors** - Holidays, competitor sales, industry events
3. **Internal changes** - Did someone change bids, budgets, ads, or landing pages?
4. **Auction dynamics** - Check Auction Insights for competitor shifts
5. **Seasonal patterns** - Compare to same week last month and last year if available

### Flagged Anomalies This Week

| Metric | Direction | Severity | Suspected Cause | Action |
|--------|-----------|----------|-----------------|--------|
| | Up/Down | Yellow/Red | | |
| | Up/Down | Yellow/Red | | |

---

## Check 5: Conversion Tracking Validation (5 minutes)

The fastest way to waste three weeks of budget: a tracking break nobody catches.

### Tracking Validation Steps

- [ ] **Conversion count sanity check**: Compare Google Ads conversions to your analytics platform (GA4, Shopify, etc.) for the same period. Variance under 15% = normal. Over 30% = investigate.
  - Google Ads conversions (7d): ___
  - Platform conversions (7d): ___
  - Variance: ___%
  - Status: Normal / Investigate

- [ ] **Conversion action status**: Tools   Conversions. Check each active conversion action shows "Recording conversions" with a recent date.
  - All actions recording: Yes / No
  - Last conversion recorded: ___
  - Any "No recent conversions" flags: ___

- [ ] **Tag firing verification**: Open your site in a new incognito window. Complete a test action if possible (add to cart, form submit). Check Google Tag Assistant or browser network tab for gtag/conversion firing.
  - Tag firing: Yes / No
  - GCLID passing: Yes / No

- [ ] **Enhanced conversions check** (if enabled): Verify match rate hasn't dropped. Tools   Conversions   [action name]   Diagnostics.
  - Match rate: ___%
  - Status: Normal ( 60%) / Low ( 60%) / Not enabled

- [ ] **Conversion lag awareness**: For accounts with long purchase cycles (7+ days), note that the last 7 days of conversion data is always incomplete. Compare conversions from 14-21 days ago for more accurate trend reading.
  - Average conversion lag for this account: ___ days

### Conversion Tracking Quick Reference

| Signal | What It Means | Urgency |
|--------|--------------|---------|
| Google Ads shows 0 conversions but site analytics shows sales | Tag broken or conversion action misconfigured | Fix today |
| Google Ads conversions 2x higher than analytics | Duplicate conversion counting | Fix today |
| Conversions dropped 50%+ but traffic is stable | Likely tracking issue, not performance issue | Fix today |
| Small variance (10-20%) between platforms | Normal. Attribution model differences. | Monitor |
| Enhanced conversion match rate dropped below 40% | Data quality issue upstream (email/phone not passing) | Fix this week |

---

## Weekly Summary

**Date**: _______________
**Time spent**: ___ minutes
**Overall account health**: GREEN / YELLOW / RED

### Issues Found This Week

| Check | Issue | Severity | Action Taken | Follow-up Needed? |
|-------|-------|----------|--------------|-------------------|
| Budget Pacing | | G/Y/R | | Yes / No |
| Campaign Health | | G/Y/R | | Yes / No |
| Search Terms | | G/Y/R | | Yes / No |
| Anomaly Detection | | G/Y/R | | Yes / No |
| Conversion Tracking | | G/Y/R | | Yes / No |

### Negatives Added This Week
| Keyword | Match Type | Campaign | Reason |
|---------|-----------|----------|--------|
| | Exact/Phrase | | |
| | Exact/Phrase | | |
| | Exact/Phrase | | |

### Open Items from Last Week
| Item | Status | Notes |
|------|--------|-------|
| | Resolved / Still Open | |
| | Resolved / Still Open | |

### Notes   Observations

_Use this space for anything that doesn't fit the checks above. Patterns you're noticing, hypotheses to test, seasonal factors to account for next week._

```
_____________________________________________________________
_____________________________________________________________
_____________________________________________________________
_____________________________________________________________
_____________________________________________________________
```

---

## Weekly Diagnostic Archive

Keep a running log. After 4 weeks, patterns emerge that single-week snapshots miss.

| Week | Date | Overall Status | Key Issues | Actions Taken |
|------|------|---------------|------------|---------------|
| 1 | | G/Y/R | | |
| 2 | | G/Y/R | | |
| 3 | | G/Y/R | | |
| 4 | | G/Y/R | | |

**Monthly pattern review**: At the end of each month, review this archive before your Monthly Deep Dive. Which checks are consistently yellow or red? That's where your systemic issues live.

---

*Print this. Pin it next to your monitor. 30 minutes every Monday. That's all it takes to catch problems before they cost you real money.*


# BONUS: Weekly Optimization Checklist

**Value**: $47
**Format**: Printable one-page checklist
**Purpose**: Compact 30-minute weekly rhythm. Print it, pin it, run it every Monday.

  This is the condensed version of the Weekly Diagnostic Checklist from Chapter 9. Same five checks, stripped down to pass/fail criteria you can evaluate at a glance. When a check fails, refer back to the full checklist template for investigation steps.

---

## Print-Ready Checklist

```
=====================================================
   WEEKLY GOOGLE ADS OPTIMIZATION CHECKLIST
   Week of: ____________  Completed by: ____________
=====================================================

 STEP 1: BUDGET PACING                    [2 min]
 -----------------------------------------------
 [ ] All campaigns spending 80-120% of daily budget
 [ ] No campaign  150% overspend (3+ day streak)
 [ ] No campaign  50% underspend (3+ day streak)
 [ ] Shared budgets balanced (no single campaign hogging)

 PASS: All boxes checked
 FAIL: Any unchecked -  Full investigation (see Check 1)
 Status: [ ] PASS  [ ] FAIL
 Notes: _________________________________________


 STEP 2: CAMPAIGN HEALTH                  [5 min]
 -----------------------------------------------
 [ ] Zero ad disapprovals (or all addressed)
 [ ] Zero extension/asset disapprovals
 [ ] No bid strategies stuck in "Limited"
 [ ] No negative keyword conflicts found
 [ ] No audience lists expired or below 1,000

 PASS: All boxes checked
 FAIL: Any unchecked -  Fix immediately or escalate
 Status: [ ] PASS  [ ] FAIL
 Notes: _________________________________________


 STEP 3: SEARCH TERMS                     [10 min]
 -----------------------------------------------
 [ ] Top 30 terms by spend reviewed
 [ ] Irrelevant terms added as negatives (count: ___)
 [ ] No brand terms leaking into generic campaigns
 [ ] No close variants triggering wrong intent
 [ ] Broad match CPA within 2x of Exact match CPA

 PASS: No waste found OR waste addressed with negatives
 FAIL: Significant waste found and not addressable with negatives
 Status: [ ] PASS  [ ] FAIL
 Negatives added: ___


 STEP 4: PERFORMANCE ANOMALIES            [8 min]
 -----------------------------------------------
 [ ] No metric moved  30% WoW (red threshold)
 [ ] Any 15-30% movements noted for next week
 [ ] If anomaly found: root cause identified
 [ ] If anomaly found: corrective action taken or scheduled

 Red Thresholds (investigate immediately):
   Impressions: +/- 40%    CPC: +/- 30%
   CTR: +/- 30%            Conversions: -30%
   ROAS: -25%              CPA: +40%

 PASS: No red flags, or root cause identified and addressed
 FAIL: Red flag with unknown cause
 Status: [ ] PASS  [ ] FAIL
 Anomalies: ______________________________________


 STEP 5: CONVERSION TRACKING              [5 min]
 -----------------------------------------------
 [ ] Google Ads conversions within 15% of analytics
 [ ] All conversion actions show "Recording"
 [ ] No conversion action has "No recent conversions"
 [ ] Enhanced conversion match rate  60% (if enabled)
 [ ] Conversion lag accounted for in trend reading

 PASS: All tracking verified
 FAIL: Any discrepancy -  Fix before doing anything else
 Status: [ ] PASS  [ ] FAIL
 Variance: ___%


=====================================================
   WEEKLY SUMMARY
=====================================================

 Overall:  [ ] ALL PASS  [ ] 1-2 FAILS  [ ] 3+ FAILS

 Total time: ___ min (target: 30 min)
 Negatives added this week: ___
 Open items for next week: ________________________
 __________________________________________________

 Rating: [ ] GREEN (all pass)
         [ ] YELLOW (1-2 fails, addressed)
         [ ] RED (3+ fails, or critical issue open)

=====================================================
   4-WEEK TRACKER (bottom of page)
=====================================================

 Week 1: ______ [ ] G  [ ] Y  [ ] R  Issues: ______
 Week 2: ______ [ ] G  [ ] Y  [ ] R  Issues: ______
 Week 3: ______ [ ] G  [ ] Y  [ ] R  Issues: ______
 Week 4: ______ [ ] G  [ ] Y  [ ] R  Issues: ______

 Pattern: ________________________________________
 -  Feed into Monthly Deep Dive
=====================================================
```

---

## How to Use This

1. **Print one copy per month** (4 weeks on one sheet using the tracker at bottom)
2. **Run it every Monday morning** before you touch any campaign settings
3. **If a step fails**: don't try to fix it during the 30-minute check. Note it, finish the remaining checks, then come back with the full diagnostic template
4. **After 4 weeks**: review the pattern tracker before your Monthly Deep Dive. Consistent failures in the same step reveal systemic issues - not one-off problems
5. **Keep completed checklists**: They're your audit trail. When someone asks "what happened in March?" you'll have the answer

---

## Pass/Fail Decision Guide

| Steps Passed | Overall Status | What It Means |
|--------------|---------------|---------------|
| 5/5 | GREEN | Account is healthy. Maintain cadence. |
| 4/5 | YELLOW | One area needs attention. Address this week. |
| 3/5 | YELLOW | Two areas degrading. Prioritize fixes before optimization work. |
| 2/5 or fewer | RED | Account has structural issues. Stop all optimization. Fix foundations first. |

**The one rule**: Never optimize (test new ads, adjust bids, scale budgets) when the checklist shows RED. Fix the foundation first. Optimizing a broken account just amplifies the problems.

---

*This checklist catches 90% of issues before they become expensive. The other 10% is what the Recovery Decision Trees are for.*


# BONUS: Monthly Deep Dive Template

**Value**: $97
**Format**: Google Sheets (8 tabs)
**Purpose**: Comprehensive monthly review framework. Build this once in Google Sheets, update monthly. 60-90 minutes per review.

  This is the build-it-yourself specification for the Monthly Deep Dive referenced in Chapter 10. Each tab includes exact column headers, formula logic, conditional formatting rules, and example data. Create the sheet once, then update it on the first business day of each month.

---

## Tab 1: Executive Summary

**Purpose**: One-screen KPI dashboard with month-over-month comparison and traffic-light status. This is what stakeholders see.

### Section A: Key Metrics Dashboard

| Metric | This Month | Last Month | Change | Change % | Status | Target | vs Target |
|--------|-----------|------------|--------|----------|--------|--------|-----------|
| Total Spend | $ | $ | $ | % | | $ | |
| Total Revenue | $ | $ | $ | % | | $ | |
| ROAS | x | x | | % | | x | |
| Total Conversions | | | | % | | | |
| Cost per Conversion | $ | $ | $ | % | | $ | |
| Avg CPC | $ | $ | $ | % | | $ | |
| CTR | % | % | | pp | | % | |
| Conv. Rate | % | % | | pp | | % | |
| Impression Share (Search) | % | % | | pp | | % | |

### Formulas

```
Change = This Month - Last Month
Change % = (This Month - Last Month) / Last Month * 100
vs Target = This Month - Target
```

### Conditional Formatting (Status Column)

| Condition | Color | Hex Code |
|-----------|-------|----------|
| Change % is positive AND metric direction is "higher is better" (ROAS, Conv, CTR, CVR, IS) | Green | #B7E1CD |
| Change % is negative AND metric direction is "higher is better" | Red | #F4C7C3 |
| Change % is positive AND metric direction is "lower is better" (CPC, CPA) | Red | #F4C7C3 |
| Change % is negative AND metric direction is "lower is better" | Green | #B7E1CD |
| Change % within +/- 5% | Yellow | #FCE8B2 |

### Section B: Month Narrative (Text Block)

```
3-5 sentences summarizing:
- Overall performance direction
- Biggest win this month
- Biggest concern this month
- Primary action for next month
```

### Example Data Row

| Metric | This Month | Last Month | Change | Change % | Status | Target | vs Target |
|--------|-----------|------------|--------|----------|--------|--------|-----------|
| Total Spend | $28,450 | $27,100 | $1,350 | +5.0% | Yellow | $30,000 | -$1,550 |
| ROAS | 3.8x | 3.5x | +0.3x | +8.6% | Green | 3.5x | +0.3x |

---

## Tab 2: Channel Performance

**Purpose**: Break down every metric by channel. See where your money is working and where it's leaking.

### Column Headers

| Channel | Spend | Spend % | Revenue | ROAS | Conversions | CPA | Clicks | CTR | Avg CPC | Impr. Share | Conv. Rate | MoM Spend Change | MoM ROAS Change |
|---------|-------|---------|---------|------|-------------|-----|--------|-----|---------|-------------|-----------|------------------|-----------------|

### Channel Rows

1. Search - Brand
2. Search - Non-Brand
3. Shopping - Standard
4. Shopping - PMax
5. PMax - Non-Shopping
6. Demand Gen
7. Display (if active)
8. Video (if active)
9. **TOTAL**

### Formulas

```
Spend % = Channel Spend / Total Spend * 100
ROAS = Revenue / Spend
CPA = Spend / Conversions
CTR = Clicks / Impressions * 100
Conv. Rate = Conversions / Clicks * 100
MoM Spend Change = (This Month Spend - Last Month Spend) / Last Month Spend * 100
MoM ROAS Change = (This Month ROAS - Last Month ROAS) / Last Month ROAS * 100
```

### Conditional Formatting

- ROAS below account target: Red background
- ROAS within 10% of target: Yellow background
- ROAS above target: Green background
- MoM ROAS Change negative: Red text
- MoM ROAS Change positive: Green text
- Spend %   40% for any single channel: Orange background (concentration risk)

### Example Data Row

| Channel | Spend | Spend % | Revenue | ROAS | Conversions | CPA | Clicks | CTR | Avg CPC | Impr. Share | Conv. Rate | MoM Spend | MoM ROAS |
|---------|-------|---------|---------|------|-------------|-----|--------|-----|---------|-------------|-----------|-----------|----------|
| Search - Non-Brand | $9,200 | 32.3% | $31,280 | 3.4x | 142 | $64.79 | 3,420 | 4.2% | $2.69 | 62% | 4.15% | +8% | -3% |

---

## Tab 3: Budget Pacing

**Purpose**: Daily spend tracking against linear pacing. Spot overspend and underspend trends before month-end.

### Section A: Daily Spend Tracker

| Day | Date | Planned Spend | Actual Spend | Cumulative Planned | Cumulative Actual | Pacing % | Status |
|-----|------|--------------|--------------|-------------------|-------------------|----------|--------|
| 1 | | $ | $ | $ | $ | % | |
| 2 | | $ | $ | $ | $ | % | |
| ... | | | | | | | |
| 31 | | $ | $ | $ | $ | % | |

### Formulas

```
Planned Spend = Monthly Budget / Days in Month
Cumulative Planned = Planned Spend * Day Number
Cumulative Actual = SUM of Actual Spend through current day
Pacing % = Cumulative Actual / Cumulative Planned * 100
```

### Conditional Formatting (Status Column)

| Pacing % | Status | Color |
|----------|--------|-------|
| 90-110% | On Track | Green |
| 75-89% or 111-125% | Watch | Yellow |
| Below 75% | Underspend Alert | Red |
| Above 125% | Overspend Alert | Red |

### Section B: Campaign-Level Pacing

| Campaign | Monthly Budget | MTD Spend | MTD Target | Pacing % | Projected Month-End | Over/Under |
|----------|---------------|-----------|------------|----------|---------------------|------------|
| | $ | $ | $ | % | $ | $ |
| | $ | $ | $ | % | $ | $ |
| **TOTAL** | $ | $ | $ | % | $ | $ |

### Formulas

```
MTD Target = (Monthly Budget / Days in Month) * Days Elapsed
Pacing % = MTD Spend / MTD Target * 100
Projected Month-End = (MTD Spend / Days Elapsed) * Days in Month
Over/Under = Projected Month-End - Monthly Budget
```

### Section C: Pacing Chart Specification

Create a line chart with:
- X axis: Day of month (1-31)
- Y axis: Cumulative spend ($)
- Line 1: Cumulative Planned (straight diagonal line - the target)
- Line 2: Cumulative Actual (your real spend curve)
- Gap between the two lines = your pacing deviation

When Line 2 runs above Line 1: overspending. Below: underspending.

---

## Tab 4: Quality Score Tracker

**Purpose**: Track Quality Score trends by keyword. QS directly impacts CPC and ad position - improving it is one of the highest-impact activities you can do.

### Column Headers

| Keyword | Campaign | Ad Group | Match Type | QS (Current) | QS (Last Month) | QS Change | Expected CTR | Ad Relevance | Landing Page Exp. | Impressions | Clicks | Avg CPC | Status |
|---------|----------|----------|-----------|--------------|-----------------|-----------|-------------|-------------|-------------------|-------------|--------|---------|--------|

### Component Values

Expected CTR, Ad Relevance, and Landing Page Experience each use Google's three-level scale:
- **Above Average**
- **Average**
- **Below Average**

### Conditional Formatting

| Condition | Color |
|-----------|-------|
| QS 8-10 | Green (#B7E1CD) |
| QS 5-7 | Yellow (#FCE8B2) |
| QS 1-4 | Red (#F4C7C3) |
| QS Change positive | Green text |
| QS Change negative | Red text |
| Any component "Below Average" | Red text on that cell |

### Summary Section (Bottom of Tab)

| QS Range | Keyword Count | % of Total | Avg CPC | MoM Change |
|----------|--------------|------------|---------|------------|
| 8-10 | | % | $ | +/- |
| 5-7 | | % | $ | +/- |
| 1-4 | | % | $ | +/- |
| **Avg QS** | | | | |

### Formulas

```
QS Change = QS Current - QS Last Month
Avg QS = AVERAGE of all QS values (weighted by impressions for meaningful average)
Weighted Avg QS = SUMPRODUCT(QS column, Impressions column) / SUM(Impressions column)
```

### What to Do With This Data

- QS 1-4 keywords with high spend: Fix or pause. Start with the "Below Average" component.
- QS 5-7 keywords: Check which component is dragging. One fix can move the needle.
- QS 8-10 keywords: Protect these. Don't change their ads or landing pages without reason.

---

## Tab 5: Impression Share Analysis

**Purpose**: Understand how much of your addressable market you're actually reaching, and why you're missing the rest.

### Column Headers

| Campaign | Impr. Share | Exact Match IS | Search Lost IS (Budget) | Search Lost IS (Rank) | Top IS | Abs. Top IS | MoM IS Change | MoM Budget Lost Change | MoM Rank Lost Change |
|----------|-----------|---------------|------------------------|----------------------|--------|-------------|---------------|----------------------|---------------------|

### Conditional Formatting

| Metric | Green | Yellow | Red |
|--------|-------|--------|-----|
| Impr. Share |  70% | 40-70% |  40% |
| Lost IS (Budget) |  10% | 10-25% |  25% |
| Lost IS (Rank) |  15% | 15-30% |  30% |
| Top IS |  50% | 25-50% |  25% |

### Interpretation Guide (Include as a note in the tab)

| Scenario | What's Happening | Action |
|----------|-----------------|--------|
| High budget lost, low rank lost | You're competitive but underfunded | Increase budget on profitable campaigns |
| Low budget lost, high rank lost | Budget is there but bids/QS can't compete | Improve QS or increase bids (check ROAS first) |
| Both high | Everything needs attention | Prioritize budget lost on highest-ROAS campaigns first |
| Both low | You're capturing most available impressions | Consider expanding keywords or audiences |

### Summary Section

| Metric | This Month | Last Month | Change | Direction |
|--------|-----------|------------|--------|-----------|
| Avg Search IS | % | % | pp | |
| Avg Budget Lost IS | % | % | pp | |
| Avg Rank Lost IS | % | % | pp | |
| Avg Top IS | % | % | pp | |

---

## Tab 6: Competitor View

**Purpose**: Monthly snapshot of competitive positioning from Auction Insights.

### Column Headers

| Competitor | Overlap Rate | Position Above Rate | Top of Page Rate | Abs. Top of Page Rate | Outranking Share | MoM Overlap Change | MoM Position Above Change | Trend |
|-----------|-------------|--------------------|-----------------|-----------------------|-----------------|-------------------|--------------------------|-------|

### How to Get This Data

1. Google Ads   Campaigns   Select a campaign   Auction Insights
2. Set date range to last full month
3. Export for each major campaign
4. Enter top 5-8 competitors per campaign

### Conditional Formatting

- Overlap Rate   80%: Red (heavy competition)
- Position Above Rate   50%: Red (they're winning)
- Position Above Rate   30%: Green (you're winning)
- MoM changes   +10pp: Orange (competitor getting more aggressive)
- MoM changes   -10pp: Blue (competitor pulling back)

### Competitor Notes Section

| Competitor | Observed Changes | Likely Strategy | Our Response |
|-----------|-----------------|-----------------|-------------|
| | | | |
| | | | |

### Monthly Competitive Summary

```
New competitors appeared: ___
Competitors who disappeared: ___
Most aggressive competitor this month: ___
Our competitive position (improving / stable / declining): ___
```

---

## Tab 7: Action Items

**Purpose**: Prioritized list of everything you need to do. Every insight from Tabs 1-6 that requires action ends up here.

### Column Headers

| Priority | Action Item | Source Tab | Category | Owner | Deadline | Expected Impact | Status | Actual Impact | Notes |
|----------|------------|-----------|----------|-------|----------|-----------------|--------|---------------|-------|

### Priority Levels

| Priority | Criteria | Timeline |
|----------|----------|----------|
| P1 - Critical | Tracking broken, massive overspend, conversion drop | Fix within 24 hours |
| P2 - High | Budget misallocation, QS degradation, competitive pressure | Fix within 1 week |
| P3 - Medium | Optimization opportunities, testing ideas | Schedule within 2 weeks |
| P4 - Low | Nice-to-haves, long-term improvements | Backlog for next month |

### Category Values

- Tracking
- Budget
- Bidding
- Creative
- Keywords
- Landing Page
- Competitive
- Structure

### Status Values

- Not Started
- In Progress
- Completed
- Deferred
- Cancelled

### Conditional Formatting

| Priority | Row Color |
|----------|-----------|
| P1 | Red background (#F4C7C3) |
| P2 | Orange background (#FCE8B2) |
| P3 | White (default) |
| P4 | Light gray (#F3F3F3) |
| Status = Completed | Strikethrough text, green Status cell |

### Example Data Rows

| Priority | Action Item | Source Tab | Category | Owner | Deadline | Expected Impact | Status |
|----------|------------|-----------|----------|-------|----------|-----------------|--------|
| P1 | Fix conversion tracking discrepancy (32% variance) | Tab 1 | Tracking | Alex | Jan 3 | Restore accurate bidding data | Not Started |
| P2 | Shift $2,000/mo from Display to Search Non-Brand | Tab 2 | Budget | Alex | Jan 10 | +0.3x overall ROAS | Not Started |
| P3 | Test new landing page for QS 4 keywords | Tab 4 | Landing Page | Sam | Jan 20 | QS improvement -  CPC reduction | Not Started |

---

## Tab 8: Trend Charts

**Purpose**: Visual month-over-month and quarter-over-quarter trends for key metrics. Numbers tell you the current state. Charts tell you the direction.

### Data Table (Source for Charts)

| Month | Spend | Revenue | ROAS | Conversions | CPA | Avg CPC | CTR | Conv. Rate | Search IS |
|-------|-------|---------|------|-------------|-----|---------|-----|-----------|-----------|
| Jan | $ | $ | x | | $ | $ | % | % | % |
| Feb | $ | $ | x | | $ | $ | % | % | % |
| Mar | $ | $ | x | | $ | $ | % | % | % |
| ... | | | | | | | | | |
| Dec | $ | $ | x | | $ | $ | % | % | % |

### Charts to Create

**Chart 1: Revenue vs Spend (Bar + Line)**
- X axis: Month
- Left Y axis: Dollar amounts
- Bar: Monthly Spend (blue)
- Bar: Monthly Revenue (green)
- Line: ROAS (red, secondary Y axis)
- Purpose: See if revenue is growing faster than spend

**Chart 2: CPC Trend (Line)**
- X axis: Month
- Y axis: CPC ($)
- Lines: Overall CPC, Search CPC, Shopping CPC
- Purpose: Detect CPC inflation before it hits your margins

**Chart 3: Conversion Metrics (Dual Line)**
- X axis: Month
- Left Y axis: Conversion count
- Right Y axis: Conversion rate (%)
- Line 1: Total conversions
- Line 2: Conversion rate
- Purpose: Separate volume changes from efficiency changes

**Chart 4: ROAS by Channel (Stacked or Multi-line)**
- X axis: Month
- Y axis: ROAS (x)
- Lines: Search Brand, Search Non-Brand, Shopping, PMax, Demand Gen
- Horizontal reference line: Account ROAS target
- Purpose: See which channels are improving and which are declining

**Chart 5: Impression Share Trend (Area)**
- X axis: Month
- Y axis: Percentage (0-100%)
- Area 1: Impression Share (green)
- Area 2: Lost IS - Budget (red)
- Area 3: Lost IS - Rank (orange)
- Total should sum to approximately 100%
- Purpose: Visualize competitive pressure over time

### Quarter-over-Quarter Summary Table

| Metric | Q1 Avg | Q2 Avg | Q3 Avg | Q4 Avg | YoY Direction |
|--------|--------|--------|--------|--------|---------------|
| ROAS | x | x | x | x | |
| CPA | $ | $ | $ | $ | |
| Spend | $ | $ | $ | $ | |
| Conv. Rate | % | % | % | % | |

---

## Setup Instructions

1. Create a new Google Sheet and name it: `[Brand Name] - Monthly Deep Dive - [Year]`
2. Create 8 tabs, named exactly: `Executive Summary`, `Channel Performance`, `Budget Pacing`, `Quality Score`, `Impression Share`, `Competitor View`, `Action Items`, `Trend Charts`
3. Copy the column headers from each section above into the corresponding tab
4. Apply conditional formatting rules as specified per tab
5. Enter formulas in calculated fields
6. Add one row of sample data per tab (mark it clearly: "SAMPLE - DELETE THIS ROW")
7. Freeze header rows (row 1) on all tabs
8. Adjust column widths for readability

**First month setup**: 45-60 minutes
**Monthly update time**: 60-90 minutes
**Stakeholder review version**: Share Tab 1 (Executive Summary) and Tab 8 (Trend Charts) for a 5-minute executive briefing

---

## TechReco Implementation Notes

**Render as**: Instructions page with a "Get the Template" CTA linking to a pre-built Google Sheets template.

**Google Sheets template specs**:
- 8 tabs matching the specifications above, all headers pre-populated
- Conditional formatting already applied per tab rules
- Formulas pre-entered in all calculated fields
- One sample data row per tab (clearly marked for deletion)
- Frozen header rows, column widths adjusted
- Tab colors: Tab 1 green, Tab 2 blue, Tab 3 orange, Tab 4 purple, Tab 5 teal, Tab 6 red, Tab 7 yellow, Tab 8 gray
- Print-friendly formatting on Tab 1 for stakeholder handouts

---

*The deep dive finds what the weekly check misses. Run it on the first business day of every month. The 90 minutes you spend here prevents the slow drift that turns profitable accounts into mediocre ones.*


# BONUS: Account Health Diagnostic Scorecard

**Value**: $47
**Format**: Printable one-page scorecard
**Purpose**: 25 health checks across 5 categories. Score your account in 15 minutes. Know exactly where to focus.

  Run this scorecard quarterly, or any time you inherit a new account, take on a new client, or feel like something is "off" but can't pinpoint what. Each check has specific pass/fail thresholds - no guesswork.

---

## Scoring System

- **Pass** (2 points): Meets or exceeds the threshold
- **Investigate** (1 point): In the gray zone - not failing, but needs a closer look
- **Fail** (0 points): Below threshold - action required

**Maximum score**: 50 points
**Your score**: ___ / 50

| Score Range | Health Rating | What It Means |
|-------------|--------------|---------------|
| 40-50 | Excellent | Account is well-maintained. Focus on scaling. |
| 30-39 | Good | Solid foundation with a few gaps. Address fails, then optimize. |
| 20-29 | Needs Work | Structural issues present. Fix fails before spending more. |
| Below 20 | Critical | Stop scaling. Fix foundations. This account is bleeding money. |

---

## Category 1: Tracking Health (10 points possible)

| # | Check | Pass (2 pts) | Investigate (1 pt) | Fail (0 pts) | Score |
|---|-------|-------------|--------------------|--------------|----|
| 1 | **Conversion actions firing** - All primary conversion actions show "Recording conversions" in the last 7 days | All actions recording in last 7 days | 1+ actions not recorded in 3+ days | Any primary action shows "No recent conversions" | /2 |
| 2 | **Enhanced conversions enabled** - Enhanced conversions active with acceptable match rate | Enabled, match rate  60% | Enabled, match rate 40-60% | Not enabled, or match rate  40% | /2 |
| 3 | **GCLID auto-tagging** - Auto-tagging enabled, GCLID passing correctly to the site | Auto-tagging ON, GCLID confirmed in URL params | Auto-tagging ON but not verified recently | Auto-tagging OFF or GCLID not passing | /2 |
| 4 | **Cross-platform variance** - Google Ads conversion count vs analytics platform (GA4, Shopify, etc.) | Variance  15% | Variance 15-30% | Variance  30% | /2 |
| 5 | **Tag freshness** - Conversion tags are current version, no deprecated tags, consent mode configured for applicable regions | All tags current, consent mode configured | Tags current but consent mode not configured | Deprecated tags found or Global Site Tag missing | /2 |

**Category Score**: ___ / 10

---

## Category 2: Campaign Structure (10 points possible)

| # | Check | Pass (2 pts) | Investigate (1 pt) | Fail (0 pts) | Score |
|---|-------|-------------|--------------------|--------------|----|
| 6 | **Naming conventions** - Campaigns, ad groups, and ads follow a consistent, readable naming pattern | Consistent naming across all campaigns | Mostly consistent with a few outliers | No naming convention or random naming | /2 |
| 7 | **Budget allocation** - Budget distributed intentionally based on channel performance, not evenly or arbitrarily | Budget weighted toward highest-ROAS channels | Budget roughly aligned but not recently reviewed | Even spread across all campaigns regardless of performance | /2 |
| 8 | **Match type strategy** - Deliberate match type selection per ad group, not all Broad or all Exact | Mixed match types with clear rationale per group | Mostly one match type but functional | All Broad with no negatives, or all Exact with low volume | /2 |
| 9 | **Negative keyword coverage** - Shared negative keyword lists applied, account-level negatives in place, no conflicts | 100+ negatives applied, shared lists active, zero conflicts | 50-100 negatives, some lists, minor conflicts |  50 negatives, no shared lists, or unresolved conflicts | /2 |
| 10 | **Ad group focus** - Each ad group has a clear, tight theme. Not more than 20-30 keywords per group (Search). | All groups themed,  30 keywords each | Most groups themed, a few bloated (30-50 keywords) | Ad groups with 50+ keywords or no thematic grouping | /2 |

**Category Score**: ___ / 10

---

## Category 3: Bidding Health (10 points possible)

| # | Check | Pass (2 pts) | Investigate (1 pt) | Fail (0 pts) | Score |
|---|-------|-------------|--------------------|--------------|----|
| 11 | **Strategy-maturity match** - Bid strategy complexity matches conversion volume (manual for  15 conv/mo, tCPA/tROAS for 30+, Max Conv Value for 15-30) | Strategy matches volume tier | Strategy slightly mismatched but functional | tROAS on a campaign with  15 conversions/month, or manual bidding on 100+ conversions/month | /2 |
| 12 | **Learning phase status** - No campaigns stuck in "Learning" for more than 14 days without a clear reason | All campaigns out of Learning or entered  14 days ago | 1-2 campaigns in Learning  14 days with known cause | 3+ campaigns stuck in Learning or unknown cause | /2 |
| 13 | **Target settings realistic** - tCPA or tROAS targets are within 20% of actual 30-day performance | Targets within 20% of actual | Targets 20-40% away from actual | Targets  40% from actual (too aggressive or too conservative) | /2 |
| 14 | **Portfolio vs individual** - Portfolio strategies used appropriately (campaigns with shared goals grouped, campaigns with different goals separated) | Portfolio where appropriate, individual where needed | All individual (works, but leaving efficiency on the table) | All campaigns in one portfolio regardless of goals, or conflicting campaigns grouped | /2 |
| 15 | **Conversion action alignment** - Each campaign optimizes toward the correct conversion action (purchase for e-commerce, lead for B2B, etc.) | All campaigns targeting correct primary action | Most correct, 1-2 campaigns targeting secondary actions | Campaigns optimizing toward micro-conversions (page views, clicks) or wrong action | /2 |

**Category Score**: ___ / 10

---

## Category 4: Creative Health (10 points possible)

| # | Check | Pass (2 pts) | Investigate (1 pt) | Fail (0 pts) | Score |
|---|-------|-------------|--------------------|--------------|----|
| 16 | **RSA ad strength** - Responsive Search Ads at "Good" or "Excellent" ad strength | 80%+ of RSAs at Good or Excellent | 50-79% at Good or Excellent |  50% at Good/Excellent, or any RSA at "Poor" | /2 |
| 17 | **Asset performance labels** - PMax/RSA assets have been reviewed, LOW-performing assets identified and replaced on a regular cadence | Assets reviewed monthly, LOW replaced within 2 weeks | Assets reviewed quarterly | Assets never reviewed, or LOW assets running for 3+ months | /2 |
| 18 | **Ad disapprovals** - Zero active ad or asset disapprovals across the account | Zero disapprovals | 1-3 disapprovals on low-traffic ads | 4+ disapprovals, or disapprovals on high-traffic ads | /2 |
| 19 | **Ad rotation and testing** - At least 2 active RSAs per ad group (Search), and a regular testing cadence for new ad variations | 2+ RSAs per group, new tests quarterly | 2+ RSAs per group, no active testing schedule | 1 RSA per group or no testing in 6+ months | /2 |
| 20 | **Extension/asset coverage** - Sitelinks, callouts, structured snippets, and at least one additional extension type active | 4+ extension types active, all approved | 2-3 extension types active | 0-1 extension types, or extensions with disapprovals | /2 |

**Category Score**: ___ / 10

---

## Category 5: Performance Health (10 points possible)

| # | Check | Pass (2 pts) | Investigate (1 pt) | Fail (0 pts) | Score |
|---|-------|-------------|--------------------|--------------|----|
| 21 | **ROAS vs target** - Account-level ROAS meets or exceeds target over the last 30 days | ROAS at or above target | ROAS within 15% below target | ROAS more than 15% below target | /2 |
| 22 | **CPA trend** - Cost per acquisition trending flat or improving over the last 90 days | CPA flat or decreasing (90-day trend) | CPA increased  15% (90-day trend) | CPA increased  15% (90-day trend) | /2 |
| 23 | **Impression share trend** - Search impression share stable or growing over the last 90 days | IS stable or growing (90-day trend) | IS declined  5pp (90-day trend) | IS declined  5pp (90-day trend) | /2 |
| 24 | **Quality Score distribution** - Account-wide QS distribution weighted toward 7+ | 60%+ of keywords QS 7-10 (by impression volume) | 40-59% of keywords QS 7-10 |  40% of keywords QS 7-10, or  20% at QS 1-4 | /2 |
| 25 | **Budget pacing** - Monthly spend within 5% of plan, no campaign consistently over or under | All campaigns pacing within 90-110% of budget | Most campaigns within range, 1-2 off | 3+ campaigns consistently over or under pacing | /2 |

**Category Score**: ___ / 10

---

## Scorecard Summary

| Category | Score | Max | Status |
|----------|-------|-----|--------|
| 1. Tracking Health | /10 | 10 | |
| 2. Campaign Structure | /10 | 10 | |
| 3. Bidding Health | /10 | 10 | |
| 4. Creative Health | /10 | 10 | |
| 5. Performance Health | /10 | 10 | |
| **TOTAL** | **/50** | **50** | |

### Category Status

| Score | Status |
|-------|--------|
| 8-10 | GREEN - Healthy |
| 5-7 | YELLOW - Needs attention |
| 0-4 | RED - Action required |

---

## Priority Action Plan

Based on your scores, fill in your top 3 actions:

| Priority | Category | Check # | Issue | Action | Deadline |
|----------|----------|---------|-------|--------|----------|
| 1 | | | | | |
| 2 | | | | | |
| 3 | | | | | |

### Priority Rules

1. **Tracking (Category 1) fails always come first.** Everything else depends on accurate data.
2. **Bidding (Category 3) fails come second.** Wrong bid strategies burn money faster than anything else.
3. **Structure (Category 2) and Creative (Category 4) come third.** These are efficiency improvements.
4. **Performance (Category 5) fails are usually symptoms, not causes.** Fix Categories 1-4 and Performance often fixes itself.

---

*Run this scorecard every quarter. Compare scores over time. An account moving from 25 to 35 to 42 is an account heading in the right direction - even if it's not perfect yet.*


# BONUS: Recovery Decision Trees

**Value**: $97
**Format**: 6 printable decision tree flowcharts
**Purpose**: When something breaks, follow the tree. Each path leads to a specific action. No guessing, no panic.

  These six decision trees cover the most common Google Ads crises. When one of these hits, pull up the relevant tree, start at the top, and follow the arrows. Every branch ends with a concrete action - not "investigate further."

---

## How to Read These Trees

- **START** is always the entry point
- Follow the arrows based on Yes/No answers
- Each path ends with an **ACTION** block (what to do)
- Estimated resolution time is listed at each endpoint
- If a path leads to "Escalate" - the issue is outside normal account management (platform bug, policy change, etc.)

---

## Decision Tree 1: ROAS Dropped

**Trigger**: ROAS dropped 20%+ week-over-week with stable spend.

```
START: ROAS dropped 20%+ WoW
  |
  v
Check conversion tracking
(Tools   Conversions   verify all actions "Recording")
  |
  +--  Tracking broken?
  |      |
  |      YES --  ACTION: Fix tracking first.
  |              Do NOT change bids or budgets until tracking
  |              is confirmed working for 48+ hours.
  |              Resolution: 1-3 days
  |
  NO
  |
  v
Check conversion lag
(Compare today's data vs same day last week at same maturity)
  |
  +--  Within normal lag window? (7-21 days depending on product)
  |      |
  |      YES --  ACTION: Wait. Re-evaluate when data matures.
  |              Set a calendar reminder for [lag window] days out.
  |              Do NOT adjust bids or kill campaigns prematurely.
  |              Resolution: Wait [lag window] days, then reassess
  |
  NO
  |
  v
Check Auction Insights
(Campaigns   Auction Insights   compare to last period)
  |
  +--  New competitors or existing competitors more aggressive?
  |      |
  |      YES --  Check: Is competition on brand or non-brand terms?
  |              |
  |              +--  Brand terms
  |              |      |
  |              |      ACTION: Review brand campaign bids.
  |              |      Ensure brand IS  90%. Consider competitor
  |              |      exclusion in PMax. Check if competitor is
  |              |      bidding on your brand name (search for it).
  |              |      Resolution: 3-5 days
  |              |
  |              +--  Non-brand terms
  |                     |
  |                     ACTION: Do NOT get into a bidding war.
  |                     Check if your QS is competitive (7+).
  |                     If QS is fine, evaluate if the CPA at
  |                     higher CPCs is still profitable.
  |                     If not profitable: shift budget to
  |                     lower-competition segments.
  |                     Resolution: 1-2 weeks
  |
  NO (no competitive shift)
  |
  v
Check audience composition
(Campaigns   Audiences   Segments)
  |
  +--  Audience mix shifted? (More new users, fewer returning?)
  |      |
  |      YES --  ACTION: Check if remarketing lists expired
  |              or shrank below 1,000 users. Rebuild lists.
  |              Adjust bid modifiers if audience targeting
  |              allows. Consider separate campaigns for
  |              new vs returning users.
  |              Resolution: 1-2 weeks
  |
  NO
  |
  v
Check landing page
(Landing page report + site speed test)
  |
  +--  Site changes, speed degradation, or broken elements?
  |      |
  |      YES --  ACTION: Revert site changes or fix speed issues.
  |              Check mobile experience specifically.
  |              Compare conversion rate before/after site change.
  |              Resolution: 1-5 days depending on the fix
  |
  NO
  |
  v
Check product/offer changes
  |
  +--  Price increase, stock issues, offer changes?
  |      |
  |      YES --  ACTION: ROAS drop is a business problem,
  |              not an ads problem. Align with business team.
  |              Consider adjusting ROAS targets to reflect
  |              new unit economics.
  |              Resolution: Depends on business decision
  |
  NO
  |
  v
ACTION: Likely a combination of small factors.
Run the full Weekly Diagnostic Checklist.
Compare 30-day trends, not just WoW.
If ROAS is declining over 30+ days with no identifiable cause,
consider a bid strategy reset (switch to Maximize Conversion
Value for 2 weeks, then re-apply target).
Resolution: 2-4 weeks
```

---

## Decision Tree 2: CPC Spiked

**Trigger**: Average CPC increased 25%+ week-over-week without budget or bid changes.

```
START: CPC spiked 25%+ WoW
  |
  v
Check Quality Score changes
(Keywords   Columns   Quality Score + components)
  |
  +--  QS dropped on high-volume keywords?
  |      |
  |      YES --  Which component dropped?
  |              |
  |              +--  Expected CTR dropped
  |              |      |
  |              |      ACTION: Review ad copy relevance.
  |              |      Test new RSA variations with stronger
  |              |      hooks. Check that keywords and ad copy
  |              |      are tightly aligned in each ad group.
  |              |      Resolution: 2-3 weeks (need testing data)
  |              |
  |              +--  Ad Relevance dropped
  |              |      |
  |              |      ACTION: Ad copy drifted from keyword intent.
  |              |      Rewrite headlines to include exact keyword
  |              |      themes. Check if ad group themes are too
  |              |      broad (split into tighter groups if needed).
  |              |      Resolution: 1-2 weeks
  |              |
  |              +--  Landing Page Experience dropped
  |                     |
  |                     ACTION: Check landing page speed (Core Web
  |                     Vitals). Check mobile experience. Verify
  |                     content relevance to keyword. Check for
  |                     broken elements, pop-ups, or intrusive
  |                     interstitials. Compare landing page to
  |                     what was there when QS was higher.
  |                     Resolution: 1-2 weeks
  |
  NO (QS stable)
  |
  v
Check Auction Insights
(Compare overlap rate and position above rate to last period)
  |
  +--  More competitors or existing competitors bidding higher?
  |      |
  |      YES --  ACTION: Calculate your break-even CPC.
  |              CPC at which ROAS hits your minimum target.
  |              If current CPC is below break-even: absorb it.
  |              If current CPC is above break-even: lower position
  |              targets, shift budget to lower-competition
  |              keywords, or test different match types.
  |              Resolution: 1-2 weeks
  |
  NO
  |
  v
Check bid strategy behavior
(Campaign   Bid strategy report)
  |
  +--  Bid strategy in learning phase or recently changed?
  |      |
  |      YES --  ACTION: Learning phase CPC volatility is normal.
  |              Wait 14 days before evaluating.
  |              If spend is dangerously high during learning:
  |              lower daily budget temporarily (not the bid
  |              strategy target).
  |              Resolution: 14 days
  |
  NO
  |
  v
Check for seasonal/market effects
(Google Trends for your keywords + industry news)
  |
  +--  Seasonal demand increase driving up auction prices?
  |      |
  |      YES --  ACTION: This is market-wide CPC inflation.
  |              Options: Ride it out if ROAS is still positive.
  |              Shift budget to lower-competition long-tail terms.
  |              Increase bids on highest-converting keywords only.
  |              Pre-plan for next year's seasonal CPC spikes.
  |              Resolution: Seasonal (weeks to months)
  |
  NO
  |
  v
Check keyword-level CPC changes
(Sort keywords by CPC change, highest first)
  |
  +--  CPC spike concentrated in a few keywords?
  |      |
  |      YES --  ACTION: Evaluate those specific keywords.
  |              If still profitable at new CPC: keep.
  |              If not profitable: pause or reduce bids.
  |              Replace with alternative keywords at lower CPCs.
  |              Resolution: 1 week
  |
  NO (broad CPC increase across account)
  |
  v
ACTION: Broad CPC increase with no clear cause usually means
market-level changes. Document the shift, adjust ROAS/CPA targets
to reflect new CPC reality, and focus on improving conversion rate
to offset higher CPCs. A 10% improvement in conversion rate offsets
a 10% CPC increase.
Resolution: Ongoing
```

---

## Decision Tree 3: Conversions Disappeared

**Trigger**: Conversions dropped to zero or near-zero for 48+ hours with normal traffic.

```
START: Conversions disappeared (48+ hours)
  |
  v
Check conversion tag status
(Tools   Conversions   check each action's status)
  |
  +--  Any action showing "No recent conversions" or "Inactive"?
  |      |
  |      YES --  Check: Was there a site update, tag manager
  |              change, or platform migration in the last 7 days?
  |              |
  |              +--  YES
  |              |      |
  |              |      ACTION: Tag was broken by the update.
  |              |      Re-install or fix the conversion tag.
  |              |      Test with Google Tag Assistant.
  |              |      Verify in real-time reports (GA4) that
  |              |      events are firing.
  |              |      Resolution: 1-2 days
  |              |
  |              +--  NO (no known changes)
  |                     |
  |                     ACTION: Check tag firing manually.
  |                     Open site in incognito   complete a
  |                     conversion action   check Tag Assistant
  |                     or Network tab for gtag firing.
  |                     If tag not firing: re-deploy tag.
  |                     If tag firing but not recording:
  |                     check conversion action settings
  |                     (counting, attribution window, category).
  |                     Resolution: 1-2 days
  |
  NO (all actions show "Recording")
  |
  v
Check conversion lag
(View conversions by conversion date, not click date)
  |
  +--  Within your normal conversion lag window?
  |      |
  |      YES --  ACTION: Wait. This is likely lag, not a real drop.
  |              Compare to the same day-of-lag from last week.
  |              Example: if avg lag is 3 days, compare today's
  |              data for 3 days ago vs last week's data for the
  |              equivalent day. If comparable: lag. If not: real drop.
  |              Resolution: Wait [lag window] days
  |
  NO (beyond normal lag)
  |
  v
Check landing page functionality
  |
  +--  Can you complete a purchase/conversion on the site right now?
  |      |
  |      NO --  ACTION: The site is broken. This is not an ads
  |             problem. Escalate to web/dev team immediately.
  |             Consider pausing ads until the site is fixed
  |             to avoid wasting budget on a broken funnel.
  |             Resolution: Depends on site fix
  |
  YES
  |
  v
Check traffic quality
(Compare click volume, bounce rate, pages/session)
  |
  +--  Traffic volume dropped significantly?
  |      |
  |      YES --  Go to Decision Tree 4 (Impression Share Dropped)
  |              Traffic loss is the root cause, not conversion loss.
  |
  NO (traffic normal, but not converting)
  |
  v
Check audience and placement shifts
  |
  +--  PMax/Display sending traffic to low-quality placements?
  |      |
  |      YES --  ACTION: Add placement exclusions.
  |              Check mobile app traffic. Exclude apps if CTR
  |              is high but CVR is zero. Review PMax placement
  |              report for new, low-quality traffic sources.
  |              Resolution: 3-5 days
  |
  NO
  |
  v
Check for external factors
  |
  +--  Holiday, industry event, competitor sale, economic news?
  |      |
  |      YES --  ACTION: External conversion suppression.
  |              If temporary (holiday): wait it out.
  |              If competitor sale: evaluate promotional response.
  |              Monitor daily. Set reminder to re-evaluate
  |              when external factor resolves.
  |              Resolution: Depends on external factor
  |
  NO
  |
  v
ACTION: Real conversion rate decline with no identifiable cause.
Check these in order:
1. Landing page A/B test running? (Variant may be tanking)
2. Payment processing issues? (Check payment gateway logs)
3. Inventory/availability problems? (Out-of-stock pages)
4. Pricing competitiveness changed? (Run competitor price check)
5. Search term quality shifted? (Review search terms for intent match)
If none of these: conversion rate declines sometimes happen.
Give it 7-10 days before structural changes.
Resolution: 1-2 weeks
```

---

## Decision Tree 4: Impression Share Dropped

**Trigger**: Search Impression Share dropped 10+ percentage points in a week.

```
START: Impression Share dropped 10+ pp
  |
  v
Check: Budget Lost IS vs Rank Lost IS
(Campaigns   Columns   Competitive metrics)
  |
  +--  Primarily Budget Lost IS increased?
  |      |
  |      YES --  Are the affected campaigns profitable (above ROAS target)?
  |              |
  |              +--  YES (profitable campaigns budget-constrained)
  |              |      |
  |              |      ACTION: This is your highest-priority fix.
  |              |      Profitable campaigns starving for budget = money
  |              |      left on the table. Options:
  |              |      1. Increase budget on these campaigns
  |              |      2. Shift budget from lower-ROAS campaigns
  |              |      3. Apply the 50/35/15 reallocation rule
  |              |      Resolution: Same day
  |              |
  |              +--  NO (unprofitable campaigns budget-constrained)
  |                     |
  |                     ACTION: Budget constraint on unprofitable
  |                     campaigns is actually protecting you.
  |                     Do NOT increase budget. Instead, improve
  |                     the campaign (QS, targeting, landing page)
  |                     until it's profitable, then consider
  |                     budget increase.
  |                     Resolution: 2-4 weeks (improvement cycle)
  |
  +--  Primarily Rank Lost IS increased?
  |      |
  |      YES --  Check Quality Score changes
  |              |
  |              +--  QS dropped?
  |              |      |
  |              |      YES --  Go to Decision Tree 5 (Quality Score Tanked)
  |              |              QS is the root cause of rank loss.
  |              |
  |              +--  QS stable?
  |                     |
  |                     Check Auction Insights for competitor changes
  |                     |
  |                     +--  Competitors more aggressive?
  |                     |      |
  |                     |      ACTION: Calculate your max bid threshold.
  |                     |      If current position is still profitable:
  |                     |      hold. If losing top position on high-value
  |                     |      terms: increase bids selectively on terms
  |                     |      where top position generates significantly
  |                     |      more conversions (not just clicks).
  |                     |      Resolution: 1-2 weeks
  |                     |
  |                     +--  No competitor change?
  |                            |
  |                            ACTION: Check if bid strategy targets
  |                            were tightened recently (lower tCPA or
  |                            higher tROAS). Aggressive targets force
  |                            the algorithm to bid less, losing IS.
  |                            Loosen targets by 10-15% and monitor.
  |                            Resolution: 1-2 weeks
  |
  +--  Both Budget Lost and Rank Lost increased?
         |
         ACTION: Dual pressure. Prioritize budget-constrained
         profitable campaigns first (immediate ROAS recovery).
         Then address rank loss on remaining campaigns through
         QS improvement and bid strategy adjustments.
         Resolution: 2-4 weeks (phased approach)
```

---

## Decision Tree 5: Quality Score Tanked

**Trigger**: Multiple keywords dropped 2+ QS points, or account average QS dropped below 5.

```
START: Quality Score dropped significantly
  |
  v
Identify which component changed
(Keywords   Columns   enable Expected CTR, Ad Relevance, Landing Page)
  |
  +--  Expected CTR dropped to "Below Average"?
  |      |
  |      YES --  Check: Did ad copy change recently?
  |              |
  |              +--  YES
  |              |      |
  |              |      ACTION: The new ad copy is underperforming.
  |              |      Compare CTR of new ads vs old ads.
  |              |      If old ads had higher CTR: revert.
  |              |      If testing: let it run 2 more weeks with
  |              |      sufficient data before concluding.
  |              |      Resolution: 1-2 weeks
  |              |
  |              +--  NO (ad copy unchanged)
  |                     |
  |                     Check: Did keyword match type change, or
  |                     are close variants diluting CTR?
  |                     |
  |                     +--  YES
  |                     |      |
  |                     |      ACTION: Close variant matching is
  |                     |      sending irrelevant queries that lower
  |                     |      CTR. Add negative keywords for the
  |                     |      irrelevant close variants. Consider
  |                     |      tighter match types.
  |                     |      Resolution: 1-2 weeks
  |                     |
  |                     +--  NO
  |                            |
  |                            ACTION: Competitor ad copy may have
  |                            improved, pulling clicks away from
  |                            your ads. Refresh ad copy with stronger
  |                            hooks, clearer value props, and specific
  |                            numbers. Add all relevant extensions.
  |                            Resolution: 2-3 weeks (testing cycle)
  |
  +--  Ad Relevance dropped to "Below Average"?
  |      |
  |      YES --  Check: Is the ad group tightly themed?
  |              |
  |              +--  NO (ad group has 20+ loosely related keywords)
  |              |      |
  |              |      ACTION: Split the ad group into tighter
  |              |      themes. Each group should have 5-15 closely
  |              |      related keywords with ad copy that directly
  |              |      addresses those specific terms.
  |              |      Resolution: 1 week (restructure)
  |              |
  |              +--  YES (tight theme, but relevance still dropped)
  |                     |
  |                     ACTION: Check that ad headlines and
  |                     descriptions include the core keyword
  |                     theme. Google needs to see direct alignment.
  |                     Pin one headline with the exact keyword
  |                     theme if necessary (use sparingly - pinning
  |                     reduces RSA flexibility).
  |                     Resolution: 1-2 weeks
  |
  +--  Landing Page Experience dropped to "Below Average"?
         |
         Check: Did the landing page change recently?
         |
         +--  YES
         |      |
         |      ACTION: Compare the old page to the new page.
         |      Check: load speed (Core Web Vitals), mobile UX,
         |      content relevance to keywords, trust signals,
         |      above-the-fold content, intrusive pop-ups.
         |      If possible, revert to old page and measure.
         |      Resolution: 1-2 weeks
         |
         +--  NO (landing page unchanged)
                |
                Check page speed
                (PageSpeed Insights or Core Web Vitals report)
                |
                +--  Speed degraded? (LCP   2.5s, CLS   0.1)
                |      |
                |      ACTION: Speed is the most common silent
                |      killer of landing page QS. Fix LCP by
                |      optimizing images, removing render-blocking
                |      resources, improving server response time.
                |      Fix CLS by setting explicit dimensions on
                |      images and ads.
                |      Resolution: 1-3 weeks depending on dev queue
                |
                +--  Speed fine?
                       |
                       ACTION: Content relevance may have drifted.
                       Check that the landing page prominently
                       features the keyword theme in the H1,
                       first paragraph, and meta description.
                       Ensure the page delivers on the ad's promise.
                       Add trust signals (reviews, certifications,
                       security badges) if missing.
                       Resolution: 1-2 weeks
```

---

## Decision Tree 6: Budget Overspent

**Trigger**: Monthly spend projected to exceed budget by 15%+ based on current pacing.

```
START: Budget overspent / on track to overspend
  |
  v
Check bid strategy type and status
  |
  +--  Bid strategy in learning phase?
  |      |
  |      YES --  Learning phase causes spend volatility.
  |              |
  |              How far into learning?
  |              |
  |              +--  Less than 7 days
  |              |      |
  |              |      ACTION: Normal. Learning phase spend
  |              |      fluctuation is expected. Lower daily budget
  |              |      by 10-15% to cap exposure, but do NOT change
  |              |      the bid strategy itself (resets learning).
  |              |      Resolution: Wait 7-14 days
  |              |
  |              +--  More than 14 days
  |                     |
  |                     ACTION: Learning is stuck. Likely cause:
  |                     not enough conversions, too many changes,
  |                     or target is unrealistic. Options:
  |                     1. Simplify the campaign (fewer ad groups)
  |                     2. Loosen targets (lower tROAS or raise tCPA)
  |                     3. Switch to Maximize Conversions temporarily
  |                     Resolution: 1-2 weeks
  |
  NO (not in learning)
  |
  v
Check shared budgets
  |
  +--  Campaigns on shared budgets?
  |      |
  |      YES --  Is one campaign consuming the majority of shared budget?
  |              |
  |              +--  YES
  |              |      |
  |              |      ACTION: Shared budgets let the algorithm
  |              |      shift spend to what it thinks performs best -
  |              |      but "best" by its measure may not match yours.
  |              |      Options:
  |              |      1. Move the heavy-spending campaign to its own budget
  |              |      2. Set individual daily budgets per campaign
  |              |      3. Keep shared budget but add bid caps on
  |              |         the over-spending campaign
  |              |      Resolution: Same day
  |              |
  |              +--  NO (spending is spread evenly)
  |                     |
  |                     ACTION: Shared budget total is too low for
  |                     the number of campaigns sharing it.
  |                     Either increase the shared budget or remove
  |                     the lowest-performing campaign from the pool.
  |                     Resolution: Same day
  |
  NO (individual budgets)
  |
  v
Check for recent changes that increased spend
  |
  +--  Budget, bid, targeting, or keyword changes in last 14 days?
  |      |
  |      YES --  ACTION: Identify which change caused the spike.
  |              Google's "Change History" (Tools   Change History)
  |              shows every modification with timestamp.
  |              If the change was intentional: adjust budget to
  |              accommodate new spend level.
  |              If unintentional: revert the change.
  |              Resolution: Same day
  |
  NO
  |
  v
Check Google's daily budget flexibility
(Google can spend up to 2x daily budget on any given day,
but monthly spend should not exceed daily budget x 30.4)
  |
  +--  Individual days spiking but monthly on track?
  |      |
  |      YES --  ACTION: This is normal Google behavior.
  |              The system overspends on high-opportunity days
  |              and underspends on others. Check the monthly
  |              total, not individual days. If monthly total
  |              will exceed budget x 30.4: file for a credit
  |              with Google Ads support.
  |              Resolution: No action needed (or file credit)
  |
  NO (monthly total genuinely exceeding budget)
  |
  v
Check campaign-level overspend
(Sort campaigns by "Cost - Budget" to find the biggest offenders)
  |
  +--  Overspend concentrated in 1-2 campaigns?
  |      |
  |      YES --  ACTION: Lower daily budget on those specific
  |              campaigns. If using automated bidding, the
  |              algorithm may be spending aggressively because
  |              it found convertible traffic. Check if the
  |              conversions justify the overspend.
  |              If ROAS is strong: consider increasing budget
  |              intentionally rather than capping a winner.
  |              If ROAS is poor: lower budget and investigate.
  |              Resolution: Same day
  |
  NO (overspend across all campaigns)
  |
  v
ACTION: Broad overspend with no clear trigger usually means
your targets are too loose (tCPA too high or tROAS too low),
giving the algorithm permission to spend more.
Tighten targets by 5-10% increments (no more than 10% at a time
to avoid triggering learning phase). Monitor daily for 1 week.
If overspend persists: lower daily budgets across the board by 10%.
Resolution: 1-2 weeks
```

---

## Quick Reference: Which Tree to Use

| Symptom | Decision Tree | Start Here |
|---------|--------------|------------|
| Revenue dropped but spend is stable | Tree 1: ROAS Dropped | Check tracking first |
| Clicks cost more than expected | Tree 2: CPC Spiked | Check Quality Score first |
| Sales/leads stopped coming in | Tree 3: Conversions Disappeared | Check tag status first |
| Ads showing less often | Tree 4: Impression Share Dropped | Budget Lost vs Rank Lost |
| Google says ad quality is low | Tree 5: Quality Score Tanked | Which component dropped |
| Spending too much too fast | Tree 6: Budget Overspent | Check bid strategy first |

**Note**: These trees often interconnect. A ROAS drop might lead you to Tree 5 (QS issue) or Tree 4 (IS issue). Follow the branches where they lead.

---

*Print the tree you need. Tape it to the wall. When the crisis hits, the last thing you want is to be guessing. Follow the tree.*


# BONUS: Metric Benchmarks by Industry

**Value**: $47
**Format**: Reference tables by vertical
**Purpose**: Know what "good" looks like for your industry. Stop comparing your fashion brand to a SaaS company.

  These benchmarks are directional ranges based on Google Ads performance data across e-commerce verticals. They represent typical performance for accounts spending $5,000-$100,000/month on Google Ads. Your specific numbers depend on your brand strength, margins, product price, competition, and a dozen other factors. Use these as calibration - not targets.

---

## How to Use This

1. **Find your vertical** (or the closest match)
2. **Compare your current metrics** to the ranges
3. **Identify where you fall**: Below Average, Average, Above Average, or Top 10%
4. **Focus on the gaps**: If your Search CTR is Top 10% but your CVR is Below Average, you don't have a traffic problem - you have a conversion problem
5. **Track movement, not position**: Moving from Below Average to Average matters more than being Average vs Above Average. Direction beats position.

**What these are NOT**: These are not guarantees, targets, or promises. An "Average" ROAS in Apparel is not a floor you should expect to hit on day one. And a "Below Average" result doesn't mean your account is broken - it might mean your product is new, your brand is unknown, or your category is hyper-competitive. Context matters.

---

## 1. Apparel   Fashion

Highly competitive, visual-driven, seasonal peaks in Q4 and mid-year sales. High return rates impact true profitability.

| Metric | Below Average | Average | Above Average | Top 10% |
|--------|--------------|---------|---------------|---------|
| Search CTR |  2.5% | 2.5-4.5% | 4.5-6.5% |  6.5% |
| Search CPC |  $1.80 | $0.90-$1.80 | $0.50-$0.90 |  $0.50 |
| Search CVR |  1.5% | 1.5-3.0% | 3.0-5.0% |  5.0% |
| Shopping CTR |  0.6% | 0.6-1.2% | 1.2-2.0% |  2.0% |
| Shopping CPC |  $0.70 | $0.35-$0.70 | $0.20-$0.35 |  $0.20 |
| Shopping CVR |  1.0% | 1.0-2.5% | 2.5-4.0% |  4.0% |
| Overall ROAS |  2.5x | 2.5-4.0x | 4.0-7.0x |  7.0x |
| Quality Score (median) |  5 | 5-6 | 7-8 | 9-10 |
| Search IS |  25% | 25-50% | 50-70% |  70% |

**Notes**: Branded search typically performs 3-5x better than non-brand on CTR and CVR. Seasonal variance can swing ROAS by 30-50% between peak and off-peak.

---

## 2. Beauty   Cosmetics

Repeat purchase behavior is high. Customer acquisition cost matters less if LTV is strong. Heavy competition on Shopping.

| Metric | Below Average | Average | Above Average | Top 10% |
|--------|--------------|---------|---------------|---------|
| Search CTR |  3.0% | 3.0-5.0% | 5.0-7.0% |  7.0% |
| Search CPC |  $1.50 | $0.70-$1.50 | $0.40-$0.70 |  $0.40 |
| Search CVR |  2.0% | 2.0-4.0% | 4.0-6.0% |  6.0% |
| Shopping CTR |  0.8% | 0.8-1.5% | 1.5-2.5% |  2.5% |
| Shopping CPC |  $0.60 | $0.30-$0.60 | $0.15-$0.30 |  $0.15 |
| Shopping CVR |  1.5% | 1.5-3.0% | 3.0-5.0% |  5.0% |
| Overall ROAS |  3.0x | 3.0-5.0x | 5.0-8.0x |  8.0x |
| Quality Score (median) |  5 | 5-7 | 7-8 | 9-10 |
| Search IS |  20% | 20-45% | 45-65% |  65% |

**Notes**: Beauty benefits from strong brand loyalty. Established brands see significantly higher CVR than newcomers. Subscription/replenishment models inflate ROAS when lifetime value is factored in.

---

## 3. Electronics   Consumer Tech

Higher AOVs but longer decision cycles. Comparison shopping is heavy. Price transparency makes margins thin.

| Metric | Below Average | Average | Above Average | Top 10% |
|--------|--------------|---------|---------------|---------|
| Search CTR |  2.0% | 2.0-3.5% | 3.5-5.5% |  5.5% |
| Search CPC |  $2.50 | $1.20-$2.50 | $0.70-$1.20 |  $0.70 |
| Search CVR |  1.0% | 1.0-2.5% | 2.5-4.0% |  4.0% |
| Shopping CTR |  0.5% | 0.5-1.0% | 1.0-1.8% |  1.8% |
| Shopping CPC |  $0.80 | $0.40-$0.80 | $0.25-$0.40 |  $0.25 |
| Shopping CVR |  0.8% | 0.8-2.0% | 2.0-3.5% |  3.5% |
| Overall ROAS |  2.0x | 2.0-3.5x | 3.5-6.0x |  6.0x |
| Quality Score (median) |  5 | 5-6 | 6-7 | 8-10 |
| Search IS |  20% | 20-40% | 40-60% |  60% |

**Notes**: Electronics has longer conversion lag (7-21 days for high-ticket items). Don't kill campaigns based on 7-day ROAS snapshots. Conversion-assisted clicks are common - last-click attribution undervalues upper-funnel activity.

---

## 4. Home   Garden

Seasonal with spring/summer peaks. Mix of impulse buys (decor) and considered purchases (furniture). Wide AOV range.

| Metric | Below Average | Average | Above Average | Top 10% |
|--------|--------------|---------|---------------|---------|
| Search CTR |  2.5% | 2.5-4.0% | 4.0-6.0% |  6.0% |
| Search CPC |  $1.60 | $0.80-$1.60 | $0.45-$0.80 |  $0.45 |
| Search CVR |  1.5% | 1.5-3.0% | 3.0-4.5% |  4.5% |
| Shopping CTR |  0.5% | 0.5-1.0% | 1.0-1.8% |  1.8% |
| Shopping CPC |  $0.65 | $0.30-$0.65 | $0.18-$0.30 |  $0.18 |
| Shopping CVR |  1.0% | 1.0-2.5% | 2.5-4.0% |  4.0% |
| Overall ROAS |  2.5x | 2.5-4.5x | 4.5-7.0x |  7.0x |
| Quality Score (median) |  5 | 5-6 | 7-8 | 9-10 |
| Search IS |  25% | 25-45% | 45-65% |  65% |

**Notes**: Furniture and large items have the longest conversion lag in this category (14-30 days). Smaller decor items convert more like impulse purchases. Segment your benchmarking by product category, not just vertical.

---

## 5. Health   Supplements

Strict ad policies (Google restricts health claims). High repeat purchase rate if product works. Supplement CPCs trending up as competition increases.

| Metric | Below Average | Average | Above Average | Top 10% |
|--------|--------------|---------|---------------|---------|
| Search CTR |  2.0% | 2.0-3.5% | 3.5-5.5% |  5.5% |
| Search CPC |  $2.00 | $1.00-$2.00 | $0.60-$1.00 |  $0.60 |
| Search CVR |  1.5% | 1.5-3.0% | 3.0-5.0% |  5.0% |
| Shopping CTR |  0.6% | 0.6-1.2% | 1.2-2.0% |  2.0% |
| Shopping CPC |  $0.70 | $0.35-$0.70 | $0.20-$0.35 |  $0.20 |
| Shopping CVR |  1.0% | 1.0-2.5% | 2.5-4.5% |  4.5% |
| Overall ROAS |  2.0x | 2.0-4.0x | 4.0-6.5x |  6.5x |
| Quality Score (median) |  4 | 4-6 | 6-7 | 8-10 |
| Search IS |  20% | 20-40% | 40-55% |  55% |

**Notes**: Ad disapproval rates are higher in this vertical due to Google's health-related ad policies. Budget for creative compliance review. Subscription models change the profitability math - a $30 CPA on a $25 product is fine if average retention is 6+ months.

---

## 6. Pet Products

Loyal customer base, high repeat purchase, emotional buying decisions. Growing e-commerce penetration.

| Metric | Below Average | Average | Above Average | Top 10% |
|--------|--------------|---------|---------------|---------|
| Search CTR |  2.5% | 2.5-4.5% | 4.5-6.5% |  6.5% |
| Search CPC |  $1.40 | $0.65-$1.40 | $0.35-$0.65 |  $0.35 |
| Search CVR |  2.0% | 2.0-3.5% | 3.5-5.5% |  5.5% |
| Shopping CTR |  0.7% | 0.7-1.3% | 1.3-2.2% |  2.2% |
| Shopping CPC |  $0.55 | $0.25-$0.55 | $0.15-$0.25 |  $0.15 |
| Shopping CVR |  1.5% | 1.5-3.0% | 3.0-5.0% |  5.0% |
| Overall ROAS |  3.0x | 3.0-5.0x | 5.0-8.0x |  8.0x |
| Quality Score (median) |  5 | 5-6 | 7-8 | 9-10 |
| Search IS |  25% | 25-50% | 50-70% |  70% |

**Notes**: Pet product shoppers show strong brand loyalty once they find a product that works (especially food and supplements). First-purchase CPA is often higher than average, but LTV makes it profitable. Subscription/auto-ship models are standard.

---

## 7. Food   Beverage

Lower AOV, higher frequency. Shipping costs impact margins significantly. Local competition from grocery and delivery services.

| Metric | Below Average | Average | Above Average | Top 10% |
|--------|--------------|---------|---------------|---------|
| Search CTR |  2.0% | 2.0-4.0% | 4.0-6.0% |  6.0% |
| Search CPC |  $1.30 | $0.60-$1.30 | $0.30-$0.60 |  $0.30 |
| Search CVR |  1.5% | 1.5-3.0% | 3.0-4.5% |  4.5% |
| Shopping CTR |  0.5% | 0.5-1.0% | 1.0-1.8% |  1.8% |
| Shopping CPC |  $0.50 | $0.25-$0.50 | $0.12-$0.25 |  $0.12 |
| Shopping CVR |  1.0% | 1.0-2.0% | 2.0-3.5% |  3.5% |
| Overall ROAS |  2.0x | 2.0-3.5x | 3.5-5.5x |  5.5x |
| Quality Score (median) |  5 | 5-6 | 6-7 | 8-10 |
| Search IS |  20% | 20-40% | 40-60% |  60% |

**Notes**: Shipping costs are the hidden margin killer in F B e-commerce. ROAS looks lower because shipping eats into revenue. Evaluate on contribution margin, not gross ROAS. Bundle and subscription models dramatically improve unit economics.

---

## 8. Sports   Outdoors

Seasonal peaks around major sporting events and outdoor season. Mix of commodity items (balls, basic gear) and premium equipment.

| Metric | Below Average | Average | Above Average | Top 10% |
|--------|--------------|---------|---------------|---------|
| Search CTR |  2.5% | 2.5-4.5% | 4.5-6.5% |  6.5% |
| Search CPC |  $1.50 | $0.70-$1.50 | $0.40-$0.70 |  $0.40 |
| Search CVR |  1.5% | 1.5-3.0% | 3.0-5.0% |  5.0% |
| Shopping CTR |  0.6% | 0.6-1.2% | 1.2-2.0% |  2.0% |
| Shopping CPC |  $0.60 | $0.30-$0.60 | $0.18-$0.30 |  $0.18 |
| Shopping CVR |  1.2% | 1.2-2.5% | 2.5-4.0% |  4.0% |
| Overall ROAS |  2.5x | 2.5-4.5x | 4.5-7.0x |  7.0x |
| Quality Score (median) |  5 | 5-6 | 7-8 | 9-10 |
| Search IS |  20% | 20-45% | 45-65% |  65% |

**Notes**: Commodity items (basic equipment) have lower CPCs but razor-thin margins. Premium gear has higher CPCs but better margin potential. Segment your benchmarks by price tier within the category.

---

## Cross-Vertical Summary

Quick reference for how verticals compare to each other.

### Search CPC (Average Range, Midpoint)

| Vertical | Avg CPC (Midpoint) | Relative Cost |
|----------|-------------------|---------------|
| Food   Beverage | $0.95 | Lowest |
| Pet Products | $1.03 | Low |
| Apparel   Fashion | $1.35 | Medium |
| Home   Garden | $1.20 | Medium |
| Beauty   Cosmetics | $1.10 | Medium |
| Sports   Outdoors | $1.10 | Medium |
| Health   Supplements | $1.50 | High |
| Electronics | $1.85 | Highest |

### Overall ROAS (Average Range, Midpoint)

| Vertical | Avg ROAS (Midpoint) | Relative Return |
|----------|-------------------|-----------------|
| Food   Beverage | 2.75x | Lowest |
| Electronics | 2.75x | Lowest |
| Health   Supplements | 3.0x | Low-Medium |
| Apparel   Fashion | 3.25x | Medium |
| Home   Garden | 3.5x | Medium |
| Sports   Outdoors | 3.5x | Medium |
| Beauty   Cosmetics | 4.0x | High |
| Pet Products | 4.0x | High |

### Shopping CVR (Average Range, Midpoint)

| Vertical | Avg Shopping CVR (Midpoint) | Relative Conversion |
|----------|-----------------------------|---------------------|
| Electronics | 1.4% | Lowest |
| Home   Garden | 1.75% | Low |
| Food   Beverage | 1.5% | Low |
| Apparel   Fashion | 1.75% | Medium |
| Health   Supplements | 1.75% | Medium |
| Sports   Outdoors | 1.85% | Medium |
| Beauty   Cosmetics | 2.25% | High |
| Pet Products | 2.25% | Highest |

---

## Important Caveats

1. **These ranges reflect e-commerce accounts spending $5K-$100K/month.** Accounts below $5K/month often see higher CPCs and lower ROAS due to limited data for automated bidding. Accounts above $100K/month may see different patterns due to market saturation effects.

2. **Brand strength changes everything.** A well-known brand in any vertical will outperform these benchmarks on CTR, CVR, and ROAS. An unknown brand launching cold will underperform them. That's expected.

3. **Geographic variation is real.** US CPCs are typically 20-40% higher than UK, which are 20-40% higher than most European markets. These benchmarks assume US-primary traffic.

4. **Seasonal swings matter.** Q4 (Black Friday through Christmas) inflates both CPCs and ROAS across most verticals. Q1 typically sees lower CPCs but also lower conversion rates. Compare like-for-like periods.

5. **These benchmarks age.** CPC inflation is real - expect 5-15% annual CPC increases across most verticals. Revisit your benchmark comparisons annually.

6. **The best benchmark is your own account history.** These tables tell you where you stand relative to the market. Your own month-over-month trends tell you where you're heading. Both matter, but direction beats position.

---

*Find your vertical. Know your numbers. Then focus on moving them in the right direction - one metric at a time.*


# Page Structure Template: Single-Product Offer Page

**Use when**: You have one hero product (not a bundle) and want to maximize conversion from paid traffic. The page replaces the standard product page for ad-driven visitors.

**Best for**: Products with strong margins, products with multiple use cases or audiences, products where social proof and value framing outperform catalog browsing.

---

## Page Structure (Scroll Order)

### 1. Hero Section
**Purpose**: Stop the scroll. One product, one promise, one CTA.

```
[HERO IMAGE - product in use, not on white background]

HEADLINE: [Specific outcome] in [timeframe]
SUB: [What it is] + [key differentiator] + [price anchor]
CTA: [Action verb] - $[price]
TRUST: [Guarantee] | [Shipping] | [Review count + stars]
```

**Rules**:
- Headline focuses on outcome, not product name
- Sub-headline establishes what makes this product different from alternatives
- Product image shows the product in context (being used, in environment) - not product-on-white
- Price is visible above the fold - don't hide it

**Example**:
```
HEADLINE: Wake Up Without Back Pain - Starting Tonight
SUB: The ergonomic pillow 12,000+ side sleepers switched to. Memory foam + cooling gel.
CTA: Try It Risk-Free - $79
TRUST: 100-Night Trial | Free Shipping | 4.8 stars (12,400 reviews)
```

### 2. Problem Agitation
**Purpose**: Make the reader feel the cost of their current situation.

**Structure** (150-200 words):
- Paragraph 1: Describe the specific frustration they experience (use customer language from reviews)
- Paragraph 2: Name the root cause they haven't identified
- Paragraph 3: Quantify the cost of not solving it (time, money, discomfort)
- Transition line: "What if [simple reframe]?"

**Key difference from bundle pages**: Single-product problem agitation focuses on ONE problem deeply, not multiple product gaps. Go narrow and specific.

### 3. Product Reveal + Mechanism
**Purpose**: Show HOW the product solves the problem. Not features - mechanism.

**Structure**:
```
[PRODUCT DETAIL IMAGE - close-up of key feature]

SECTION HEADLINE: How [Product Name] Works

1. [Mechanism step 1] - [what happens physically/technically]
2. [Mechanism step 2] - [what the user experiences]
3. [Mechanism step 3] - [the outcome they'll notice]
```

**Rules**:
- 3 mechanism steps maximum. If it takes more, you're explaining features, not mechanism.
- Each step should be one sentence
- Include one technical detail that builds credibility (material, measurement, specification)
- Avoid jargon the customer wouldn't use in conversation

### 4. Variant Selector (If Applicable)
**Purpose**: If the product has size/color/quantity variants, present them as a selection decision.

**Structure**:
```
| | [Variant A] | [Variant B] | [Variant C] |
|---|---|---|---|
| [Key differentiator] | [spec] | [spec] | [spec] |
| Best for | [use case] | [use case] | [use case] |
| Price | $[price] | $[price] | $[price] |
| Per-unit cost | $[calc] | $[calc] | $[calc] |
```

**Rules**:
- Pre-select the variant you want most customers to buy
- If quantity variants: show per-unit savings to encourage multi-buy
- If size variants: frame by use case ("travel" vs "home" vs "gift"), not just dimensions
- "Most Popular" badge on the target variant

### 5. Value Stack
**Purpose**: Make the price feel small relative to what they get.

**Structure**:
```
What's included with your [Product Name]:
- [Product] ($[retail value])
- [Included accessory or bonus] ($[value])
- [Digital guide/instructions] ($[value])
- [Guarantee/warranty] (priceless but stated)

Total value: $[sum]
Your price: $[price]
```

**Rules for single products**:
- Don't over-inflate. A single product's value stack should be 1.3-1.8x the price, not 3-5x
- Include only real extras (carrying case, instructions, warranty)
- If no real extras exist, skip the value stack and use a per-day cost reframe instead
- Per-day reframe: "$79 / 365 nights = $0.22 per night of better sleep"

### 6. Social Proof Block
**Purpose**: External validation from people like the reader.

**Structure**:
- 3-5 customer reviews (1-2 sentences each)
- At least one review per buyer type: skeptic-converted, specific-result, comparison-to-alternative
- Star rating + total review count
- Optional: "As seen in [publication]" logos if real

**Rules**:
- Short quotes only. If a review is 4+ sentences, excerpt the strongest line.
- Include the reviewer's name and one identifying detail ("side sleeper", "marathon runner", "mom of 3")
- Never fabricate reviews. If you don't have enough, launch with fewer and add real ones weekly.

### 7. Comparison to Alternatives
**Purpose**: Pre-empt the "let me check Amazon" instinct.

**Structure**:
```
| | [Your Product] | [Generic Alternative] | [Premium Alternative] |
|---|---|---|---|
| [Key feature 1] | [yours] | [theirs] | [theirs] |
| [Key feature 2] | [yours] | [theirs] | [theirs] |
| Price | $[price] | $[price] | $[price] |
| Guarantee | [yours] | [theirs] | [theirs] |
```

**Rules**:
- Compare to categories ("memory foam pillows on Amazon"), not specific brand names (legal risk)
- Be honest about where alternatives win. Credibility matters more than winning every row.
- Include price as the last row so the comparison context is set before the customer sees the number

### 8. FAQ (5-7 Questions)
**Purpose**: Handle objections the page didn't address.

**Question types to include**:
1. Shipping/logistics: "When will it arrive?"
2. Fit/compatibility: "Will this work for [specific use case]?"
3. Comparison: "How is this different from [common alternative]?"
4. Guarantee: "What if it doesn't work for me?"
5. Value: "Is $[price] worth it for [product category]?"

**Rules**:
- 2-3 sentence answers maximum
- If an FAQ answer is longer than 3 sentences, the page copy above needs to address that topic better
- Include the guarantee details in at least one answer

### 9. Final CTA
**Purpose**: Close with urgency and clarity.

```
[PRODUCT IMAGE - aspirational, product in use]

HEADLINE: [Restate the core outcome in 1 line]
CTA: [Same CTA as hero] - $[price]
MICRO-COPY: [Guarantee] + [Shipping] + [One social proof stat]
```

---

## Section Length Guide

| Section | Target Words | Target Scroll Depth |
|---------|-------------|-------------------|
| Hero | 30-50 | Above the fold |
| Problem | 150-200 | 1 scroll |
| Mechanism | 100-150 | 1.5 scrolls |
| Variants | Table only | 2 scrolls |
| Value Stack | 80-120 | 2.5 scrolls |
| Social Proof | 100-150 | 3 scrolls |
| Comparison | Table + 1-2 sentences | 3.5 scrolls |
| FAQ | 200-350 | 4 scrolls |
| Final CTA | 20-30 | 4.5 scrolls |

**Total page**: 700-1,100 words. Single-product pages should be shorter than bundle pages. The product is simpler - the page should be too.

---

## When to Use This vs Three-Tier Bundle

Use single-product offer when:
- You genuinely have one product to sell (no natural complements)
- The product has variants that serve as natural tiers (sizes, quantities)
- You're testing a new product before building bundle architecture around it
- The product's margin is high enough that AOV optimization via bundles isn't critical

Switch to the three-tier bundle template when:
- Co-purchase data shows 25%+ affinity with other products
- AOV needs to increase and you have complementary products to bundle
- Conversion is good but revenue per visitor is low

---

## Worked Example

**Product**: CloudRest Weighted Blanket (15 lbs, $129). Google Ads spend: $18K/month. Targeting cold/warm traffic from "how to fall asleep faster" and "weighted blanket for anxiety."

### Completed Page Structure

**1. Hero Section**:
```
[IMAGE: Woman sleeping peacefully under weighted blanket, bedroom setting, warm lighting]

HEADLINE: Fall Asleep in 12 Minutes - Not 90
SUB: The 15-lb weighted blanket 8,200+ restless sleepers switched to. Deep pressure therapy + cooling cotton.
CTA: Try It Risk-Free - $129
TRUST: 100-Night Trial | Free Shipping | 4.7 stars (8,200 reviews)
```

**2. Problem Agitation** (180 words):
- P1: "You've tried the melatonin. The sleep apps. The blue light glasses. But every night around 11:30, the same thing happens: your body is exhausted and your brain won't stop."
- P2: "The issue isn't your routine. It's your nervous system. When cortisol stays elevated at bedtime, no supplement or app can override it. Your body needs a physical signal to switch off."
- P3: "The average restless sleeper loses 90 minutes per night. That's 547 hours per year - the equivalent of 68 full workdays. Plus $340/year in supplements that sit half-used in your nightstand."
- Transition: "What if you could trigger that 'switch off' signal in under 15 minutes?"

**3. Product Mechanism** (3 steps):
1. **Deep pressure therapy** - 15 lbs of evenly distributed weight activates your parasympathetic nervous system (the same response as being held)
2. **Cortisol reduction** - Clinical studies show deep pressure touch reduces cortisol by 31% within 15 minutes
3. **Sleep onset acceleration** - Average time-to-sleep drops from 45+ minutes to 12 minutes (based on 8,200 user survey)

**4. Variant Selector**:

| | Travel (8 lb) | Standard (15 lb) | King (20 lb) |
|---|---|---|---|
| Best for | Under 130 lbs | 130-230 lbs | 200+ lbs / couples |
| Size | 41"x60" | 48"x72" | 60"x80" |
| Price | $89 | $129 | $169 |
| Per-night cost | $0.24/night | $0.35/night | $0.46/night |

"Most Popular" badge on Standard (15 lb). Pre-selected on page load.

**5. Value Stack** (per-day reframe, not inflated):
- CloudRest 15-lb Weighted Blanket ($129)
- Removable cooling cotton cover ($29 value)
- Sleep Optimization Guide (digital, $0 - don't overvalue a PDF)
- 100-night trial + full refund guarantee

Total: $158 in real value. Your price: $129. You save: $29.

Per-night reframe: "$129 / 365 nights = $0.35 per night of better sleep. Less than a single melatonin gummy."

**6. Social Proof** (5 reviews, 1-2 sentences each):
- **Skeptic-converted**: "I thought weighted blankets were a gimmick. Night one, I fell asleep before finishing my podcast. Night 30, I donated my melatonin." - Rachel M., marketing manager
- **Specific-result**: "Tracked my sleep with my Oura ring. Average sleep onset dropped from 47 minutes to 14 minutes in the first week." - James K., software engineer
- **Comparison**: "Tried the Bearaby ($250) and the Gravity ($200). CloudRest is half the price and the cooling cover actually works." - Sarah T., nurse

**7. Comparison**:

| | CloudRest | Generic weighted blankets | Premium brands |
|---|---|---|---|
| Weight distribution | Glass beads, even | Plastic pellets, clumpy | Glass beads, even |
| Cooling | Yes (cotton cover) | No | Some models |
| Price | $129 | $40-80 | $200-300 |
| Trial period | 100 nights | 30 days (if any) | 30-90 nights |

**8. FAQ** (5 questions):
- "Will 15 lbs feel too heavy?" -  "The rule is 10% of body weight. If you're 130-230 lbs, the 15-lb model is right. Under 130, go with the 8-lb Travel."
- "What if I sleep hot?" -  "The removable cotton cover is breathable and machine washable. We also offer a bamboo cooling upgrade ($19)."
- "Is $129 worth it for a blanket?" -  "At $0.35/night over a year, it costs less than a single melatonin dose. 96% of buyers keep it past the trial period."

**9. Final CTA**:
```
Stop losing 90 minutes every night.

CTA: Try CloudRest Risk-Free - $129
100-night trial | Free shipping | 4.7 stars from 8,200 reviews
```

---

## Your Turn

Follow the 9-section structure above. Fill in each section with your product's specifics. Key rules:
- Hero headline = outcome, not product name
- Problem agitation = quantify the cost of not solving
- Mechanism = 3 steps max
- Value stack = 1.3-1.8x ratio (don't over-inflate)
- Social proof = real reviews only, include one skeptic-converted

---

## Interpretation Guide

| Page Performance Issue | Likely Cause | Fix |
|----------------------|-------------|-----|
| High bounce rate (70%+) | Hero section doesn't match the ad promise | Align headline with the keyword/ad that drove the click |
| Scrolls to problem section but drops off | Problem agitation is generic or too long | Use customer language from real reviews, keep under 200 words |
| Reaches comparison but doesn't convert | Your product doesn't win enough rows | Be honest about trade-offs - credibility matters more than winning every comparison |
| FAQ section has high engagement but low conversion | Key objections aren't addressed in the main page | Move the most-clicked FAQ answer into the main body copy |
| Converts but AOV is low | Variant selector isn't steering to the right tier | Pre-select the tier you want most buyers to choose, add "Most Popular" badge |


# Page Structure Template: Three-Tier Bundle Offer Page

**Use when**: You have a hero product with complementary products that form natural tiers. This is the core B.O.L.T. System page structure.

**Best for**: Skincare routines, supplement stacks, pet care kits, fitness gear sets, kitchen bundles, outdoor gear kits, or any catalog with 10+ products and clear complementary relationships.

---

## Page Structure (Scroll Order)

### 1. Hero Section
**Purpose**: Communicate the bundle value proposition and anchor to the tier selection.

```
[BUNDLE IMAGE - all tier products arranged, Complete tier emphasized]

HEADLINE: [Outcome] - Everything You Need in One [Kit/Set/System]
SUB: [X] curated products. [Y] days of supply. Save $[amount] vs buying individually.
CTA: Choose Your [Kit Name] - Starting at $[Starter price]
TRUST: [Guarantee] | [Free shipping threshold] | [Review count]
```

**Rules**:
- Hero image shows the COMPLETE tier's products (the tier you want most people to buy)
- "Starting at" price references Starter to anchor low - the tier comparison does the upsell work
- Never use the product name as the headline. Use the outcome the bundle delivers.

### 2. Problem Agitation
**Purpose**: Make the reader feel the cost of buying products individually.

**Structure** (150-250 words, 4 paragraphs):

**P1 - The piecemeal pain**: "You've been buying [product category] one product at a time. A [product] from one brand, a [product] from another, a [product] you found on sale."

**P2 - The hidden cost**: "The real problem isn't the products. It's the approach. Buying individually means [specific downside: products don't work together / you miss complementary items / you overpay for each piece]."

**P3 - The math**: "The average [customer type] spends $[individual total] buying these products separately over [timeframe]. Plus [X] hours researching. Plus the [products that didn't work / sat unused]."

**P4 - The transition**: "What if someone who [credibility: understands formulation / has tested 40+ accounts / has built 160+ kits] put the right combination together for you?"

### 3. Tier Comparison (CRITICAL SECTION)
**Purpose**: Convert the purchase decision from "Should I buy?" to "Which tier fits me?"

**Layout**:
```
| | [Starter Name] | [Complete Name] ★ | [Pro Name] |
|---|---|---|---|
| [Product 1 - Hero] | ✓ | ✓ | ✓ |
| [Product 2 - L1 complement] | ✓ | ✓ | ✓ |
| [Product 3 - L2 enhancement] | - | ✓ | ✓ |
| [Product 4 - L2 enhancement] | - | ✓ | ✓ |
| [Product 5 - L3 premium] | - | - | ✓ |
| [Bonus 1] | - | ✓ | ✓ |
| [Bonus 2] | - | - | ✓ |
| **Your Price** | **$[price]** | **$[price]** | **$[price]** |
| **Per product** | **$[calc]** | **$[calc]** | **$[calc]** |
| **You save** | **$[calc]** | **$[calc]** | **$[calc]** |
```

**Visual treatment**:
- Complete tier column: 10-15% wider, highlighted border (2-3px brand accent), "Most Popular" badge
- Starter tier: standard styling, no badge
- Pro tier: standard styling, "Most Complete" badge in muted tone
- Complete tier CTA button: filled/solid. Other tiers: ghost/outline.
- Complete tier pre-selected on page load

**Decoy validation before building**:
- Starter price: 60-75% of Complete
- Value increase Starter to Complete: 2x+ the price increase
- Decoy score above 2.0 (see Module 3 formula)

### 4. Value Stack
**Purpose**: Make the Complete tier price feel small by showing total value.

**8-Step Psychological Sequence**:

```
Your [Complete Tier Name] includes:

1. EMOTIONAL: "[Peace of mind / confidence / relief] knowing you have [complete solution]"

2. PRIMARY FUNCTIONAL: "[Core capability with specific measurement]"

3. SECONDARY BENEFITS: "[Feature 1], [Feature 2], [Feature 3]"

4. BONUS VALUE: "FREE [Bonus Name] ($[value]) - [one sentence on what problem it solves]"

5. RISK REVERSAL: "[X]-day [guarantee type]. [Specific coverage]. [How to claim]."

6. SOCIAL PROOF: "Join [X]+ [customers/users] who chose the [Tier Name]"

7. URGENCY: "[Legitimate time-limited offer - bonus item, seasonal pricing, launch pricing]"

8. PRICE ANCHOR:
| What You Get | Individual Price |
|---|---|
| [Product 1] ([supply/spec]) | $[price] |
| [Product 2] ([supply/spec]) | $[price] |
| [Product 3] ([supply/spec]) | $[price] |
| [Bonus item] | $[price] |
| **If purchased individually** | **$[total]** |
| **Your [Tier Name] price** | **$[bundle price]** |
| **You save** | **$[savings]** |
```

**Per-unit reframes** (include at least one):
- Per-item: "[X] products for $[price] - less than $[per-item] each"
- Per-day: "$[price] for [X]-day supply = $[per-day]/day"
- Comparison: "Less than [daily coffee / one dinner out / a streaming subscription]"

**Rules**:
- Always use "Your [Tier Name]" not "The [Tier Name]" (endowment effect)
- Show dollar savings, never percentages
- Anchor ratio should be 1.3-2.0x (individual total vs bundle price)
- Don't inflate individual prices. Use real retail prices from your store.

### 5. Social Proof Block
**Purpose**: Reduce purchase anxiety through external validation.

**Structure**:
- 3-5 short testimonials (1-2 sentences each)
- Must include at least one quote specifically about the BUNDLE value (not just individual products)
- Include aggregate stat: "[X]+ [kits/bundles] sold" or "4.8 stars from [X] reviews"

**4 testimonial types** (include at least 3):
1. **Identity match**: "As a [their identity], I was looking for exactly this..."
2. **Objection crusher**: "I wasn't sure I needed all of it, but..."
3. **Value validator**: "When I added up what I would have spent individually..."
4. **Result reporter**: "[Specific outcome] after [timeframe]"

### 6. Urgency Element
**Purpose**: Create a legitimate reason to buy now.

**Choose ONE** (must be real):
- "Free [bonus item] included through [actual date]"
- "[Season] kit - this configuration available through [date]"
- "Launch pricing ends [date] - prices increase to $[higher price]"

**Never use**:
- Countdown timers that reset on refresh
- "Only X left in stock" unless inventory is actually limited
- "Offer expires soon" without a real date

### 7. Guarantee
**Purpose**: Remove the final barrier.

**Structure**:
```
[X]-Day [Guarantee Name]

[What's covered - 1 sentence]
[How to claim - 1 sentence]
[Why you're confident - 1 sentence with data]
```

**Example**:
"30-day satisfaction guarantee. If any product in your kit doesn't meet expectations, email us for a full refund. We can offer this because 96% of kit buyers keep everything."

### 8. Final CTA
**Purpose**: Close the sale with the tier selection repeated.

```
[RESTATE TRANSFORMATION - 1 line]

Choose Your [Kit Name]:
- [Starter Name] - $[price] [Add to Cart]
- **[Complete Name] - $[price] [Add to Cart] Most Popular**
- [Pro Name] - $[price] [Add to Cart]

[Guarantee reminder] | [Shipping] | [Social proof stat]
```

---

## Section Length Guide

| Section | Target Words | Notes |
|---------|-------------|-------|
| Hero | 40-60 | Above the fold. Every extra word dilutes. |
| Problem | 150-250 | 4 short paragraphs. Don't over-explain. |
| Tier Comparison | Table + 20-30 words | The table does the work. Minimal copy. |
| Value Stack | 200-350 | 8-step sequence. Each step is 1-3 sentences. |
| Social Proof | 100-150 | Short quotes. Never long-form testimonials. |
| Urgency | 20-40 | One line. Specific. Legitimate. |
| Guarantee | 50-80 | Clear and simple. Don't over-explain. |
| Final CTA | 30-50 | Repeat the tier options. Done. |

**Total page**: 600-1,000 words of copy + tables. Bundle pages should be dense, not long.

---

## Behavioral Checklist (Verify Before Launch)

- [ ] Complete tier pre-selected on page load
- [ ] "Most Popular" badge on Complete tier (only if true or launching fresh)
- [ ] Loss framing on at least one element ("costs you $X more" vs "save $X")
- [ ] Endowment language throughout ("Your kit" not "The kit")
- [ ] Per-unit price breakdown visible
- [ ] Dollar savings shown (not percentages)
- [ ] Tier comparison shows clear feature gap (Starter to Complete = significant, Complete to Pro = incremental)
- [ ] Mobile: tiers stack vertically, sticky CTA bar after first scroll
- [ ] All prices end in 7 or 9 (charm pricing)
- [ ] Guarantee details visible without scrolling past the final CTA

---

## Cart Integration

Connect each tier's CTA to the appropriate cart action:
- **Pattern 1 (Bundle app)**: Each CTA links to the bundle product's add-to-cart URL
- **Pattern 2 (Discount code)**: Each CTA adds individual products + auto-applies tier discount
- **Pattern 3 (Landing page redirect)**: Each CTA redirects to pre-populated Shopify cart

See the Shopify Cart Integration Guide (Bonus 4) for step-by-step setup for each pattern.

---

## Worked Example

**Business**: DTC supplement brand selling a gut health line. 6 products in the line. Monthly Google Ads spend: $22K. Current AOV from product pages: $38.

### Tier Architecture

| | Starter Kit | Complete Gut Reset ★ | Pro Protocol |
|---|---|---|---|
| Daily Probiotic (30-day) | ✓ | ✓ | ✓ |
| Prebiotic Fiber (30-day) | ✓ | ✓ | ✓ |
| Digestive Enzyme (30-day) | - | ✓ | ✓ |
| L-Glutamine Repair (30-day) | - | ✓ | ✓ |
| Gut Test Kit (at-home) | - | - | ✓ |
| 1-on-1 Nutritionist Consult (30 min) | - | - | ✓ |
| **Products** | **2** | **4** | **6** |
| **Your Price** | **$49** | **$89** | **$149** |
| **Per product** | **$24.50** | **$22.25** | **$24.83** |
| **You save** | **$9** (vs individual) | **$27** | **$51** |

### Decoy Validation

- Starter price: $49 (55% of Complete at $89) - within 60-75% range
- Value increase Starter -  Complete: +2 products for +$40. Each additional product = $20.
- Value increase Complete -  Pro: +2 items (including a consult) for +$60. Premium but justifiable.
- Decoy score: 2.4 (above 2.0 threshold)

Expected distribution: 20% Starter, 60% Complete, 20% Pro.

### Hero Section
```
[IMAGE: All 6 products arranged with Complete tier centered and larger]

HEADLINE: Fix Your Gut in 30 Days - Everything You Need in One Kit
SUB: 4 clinically-backed supplements. 30-day supply. Save $27 vs buying individually.
CTA: Choose Your Gut Reset Kit - Starting at $49
TRUST: 90-Day Guarantee | Free Shipping Over $75 | 4.6 stars (2,400 reviews)
```

### Value Stack (Complete Tier)

```
Your Complete Gut Reset includes:

1. EMOTIONAL: "Confidence that your gut health is finally being addressed properly -
   not with a single probiotic, but with a complete protocol."

2. PRIMARY FUNCTIONAL: "4 supplements targeting all 4 stages of gut repair:
   populate (probiotic), feed (prebiotic), break down (enzyme), repair (L-glutamine)."

3. SECONDARY BENEFITS: "Reduced bloating within 7 days. Better nutrient absorption.
   More consistent energy levels."

4. BONUS VALUE: "FREE Gut Health Meal Plan ($19 value) - 30 days of gut-friendly
   recipes designed to work with the supplement protocol."

5. RISK REVERSAL: "90-day money-back guarantee. Take the full 30-day protocol.
   If you don't feel a measurable difference, full refund - keep the meal plan."

6. SOCIAL PROOF: "Join 2,400+ customers who chose the Complete Reset.
   Average review: 4.6 stars."

7. URGENCY: "Free expedited shipping on Complete and Pro kits through March 15."

8. PRICE ANCHOR:
| What You Get | Individual Price |
|---|---|
| Daily Probiotic (30-day) | $29 |
| Prebiotic Fiber (30-day) | $24 |
| Digestive Enzyme (30-day) | $32 |
| L-Glutamine Repair (30-day) | $31 |
| Gut Health Meal Plan | $19 |
| **If purchased individually** | **$135** |
| **Your Complete Reset price** | **$89** |
| **You save** | **$46** |
```

Per-unit reframe: "4 supplements for $89 - less than $22.25 each. That's $2.97/day for a complete gut protocol."

### Results After 60 Days

| Metric | Before (Product Pages) | After (Bundle Page) |
|--------|----------------------|---------------------|
| AOV | $38 | $84 |
| Conversion rate | 3.1% | 2.8% (slight drop expected) |
| Revenue per visitor | $1.18 | $2.35 |
| Tier distribution | N/A | Starter 18%, Complete 64%, Pro 18% |

**Revenue per visitor doubled** despite a small conversion rate decrease. The bundle page generates 2x more revenue per click.

---

## Your Turn

Follow the 8-section structure. Start with the tier architecture - if your decoy score is below 2.0, adjust pricing before building the page.

Key decisions to make:
1. Which products go in each tier?
2. What's the price for each tier? (Starter = 60-75% of Complete)
3. What bonus increases perceived value of Complete?
4. What legitimately time-limited element creates urgency?

---

## Interpretation Guide

| Metric | What It Means | Action |
|--------|--------------|--------|
| 50%+ of buyers choose Starter | Complete tier isn't compelling enough | Widen the feature gap (add more to Complete) or narrow the price gap |
| 50%+ choose Pro | Complete is undervalued or Pro is too cheap | Raise Pro price or move a Pro feature down to Complete |
| CVR dropped 30%+ vs product page | Bundle page is overwhelming buyers | Simplify - check if you have too many sections or too much text |
| AOV increased but total revenue flat | Getting fewer conversions on higher baskets | Re-examine if the traffic temperature matches the page type (bundle pages work best for warm/hot traffic) |
| Return rate spiked after bundle launch | Buyers don't understand what they're getting | Add clearer product descriptions in the tier table and verify guarantee messaging |


# Page Structure Template: Quiz-to-Offer Page

**Use when**: Your catalog serves multiple customer segments and you need to route visitors to the right bundle. The quiz replaces the "Which one is right for me?" decision with a guided recommendation.

**Best for**: Skincare (skin type matching), supplements (goal-based stacks), pet products (breed/age matching), fitness gear (activity-based kits), any catalog where the right bundle depends on customer attributes.

---

## How Quiz-to-Offer Works

Standard offer pages present 3 tiers and let the customer self-select. Quiz-to-offer adds a layer: the customer answers 3-5 questions, and the page recommends a specific tier and bundle configuration based on their answers.

**Why this converts**: Quiz completers convert at 3-5x the rate of standard page visitors. The act of answering questions creates investment (commitment bias) and the personalized recommendation removes decision paralysis.

**When to use this instead of a standard 3-tier page**:
- Your bundles serve genuinely different customer segments (not just spending levels)
- Customers frequently ask "Which one is right for me?" in support tickets
- You have 3+ distinct bundle configurations that map to different needs
- Your return rate is above 8% (often caused by customers choosing the wrong bundle)

---

## Page Structure (Scroll Order)

### Phase 1: Quiz (Above the Fold)

#### 1A. Quiz Entry
**Purpose**: Hook the visitor into starting the quiz.

```
HEADLINE: Find Your Perfect [Product Category] Match
SUB: Answer [3-5] quick questions. Get a personalized recommendation in 60 seconds.
CTA: [Start the Quiz] / [Find My Match]
```

**Rules**:
- The quiz headline promises a personalized outcome, not a product
- "60 seconds" or "3 questions" sets a time expectation - reduces abandonment
- Never require email before the quiz. Collect email AFTER showing the recommendation.

#### 1B. Quiz Questions (3-5 Maximum)
**Purpose**: Collect the minimum information needed to route to the right recommendation.

**Question design rules**:
- 3-5 questions. More than 5 = drop-off spikes. Fewer than 3 = recommendation feels shallow.
- Visual answers when possible (images   text options   dropdowns)
- Each question should feel like it matters - "What's your biggest challenge with [category]?" not "What color do you prefer?"
- Progress indicator (Step 1 of 4) reduces abandonment by 15-20%

**Question types that work**:

| Question Type | Example | What It Routes |
|---------------|---------|---------------|
| Goal/Outcome | "What's your #1 goal with skincare?" | Bundle composition |
| Experience Level | "How long have you been using [category]?" | Tier complexity |
| Situation | "What's your [skin type / activity level / pet breed]?" | Product variants within bundle |
| Budget Signal | "Which best describes your approach to [category]?" (options: "keep it simple" / "give me everything" / "I want the best") | Tier level |
| Urgency/Timeline | "When do you need this by?" | Urgency framing on results page |

**Recommended 4-question sequence**:
1. **Goal question**: Routes to the right bundle category
2. **Situation question**: Selects product variants within the bundle
3. **Experience question**: Determines tier complexity (beginner = Starter, experienced = Complete/Pro)
4. **Budget signal**: Confirms tier recommendation

#### 1C. Quiz Results / Recommendation
**Purpose**: Present the personalized bundle recommendation with the full offer page below it.

```
[PERSONALIZED HEADLINE]: Based on your answers, here's your [custom recommendation name]

[RESULT CARD]:
- "We recommend: [Complete Tier Name] for [their goal]"
- [Tier image with highlighted products]
- "This includes [X] products specifically selected for [their situation]"
- Price: $[price] (Save $[amount] vs buying individually)
- [Add to Cart - CTA]

[OPTIONAL]: "See all options" link expands to show all 3 tiers with the recommended one highlighted
```

**Rules**:
- The recommendation should feel personalized even though it routes to one of 3-5 pre-built bundles
- Reference their specific quiz answers in the recommendation copy: "Since you mentioned [dry skin / beginner / training for a marathon]..."
- Default recommendation should be the Complete tier in 60-70% of quiz paths
- Include a "See all options" link for customers who want to self-select after seeing the recommendation

### Phase 2: Offer Page (Below Quiz Results)

After the quiz recommendation, the page transitions into a standard offer page structure. The quiz recommendation sits at the top, and the remaining sections reinforce the purchase decision.

### 2. Problem Agitation (Personalized)
**Purpose**: Mirror back the problem they identified in the quiz.

**Structure** (100-180 words - shorter than standard because the quiz already established context):

"You told us your biggest challenge is [quiz answer 1] and you're currently [quiz answer 2]. Here's why that matters..."

Then 2-3 paragraphs connecting their specific situation to the bundle's solution.

**Key difference from standard pages**: You already know their problem from the quiz. Don't agitate generically - use their words back to them.

### 3. Recommended Tier (Expanded)
**Purpose**: Full breakdown of the recommended bundle.

**Structure**:
```
Why the [Recommended Tier] is right for you:

Based on your [quiz answer category]:
- [Product 1] addresses your [specific need from quiz]
- [Product 2] works with [Product 1] because [mechanism]
- [Bonus] helps you [specific quiz-identified goal]

[TIER COMPARISON TABLE - recommended tier highlighted, others available]
```

**Rules**:
- The recommended tier gets 2-3x the copy of the other tiers
- Other tiers are visible but de-emphasized (collapsed or below the recommended tier)
- Show WHY this tier matches their quiz answers - don't just say "we recommend this"

### 4. Value Stack (Personalized)
**Purpose**: Same 8-step sequence as the standard template, but with personalized language.

Replace generic benefit language with quiz-informed language:
- Generic: "Peace of mind knowing you have a complete solution"
- Personalized: "Peace of mind knowing your [dry skin / sensitive skin / oily skin] routine is finally right"

### 5-8. Standard Sections
Follow the three-tier bundle template for:
- Social Proof (include testimonials from the same customer segment when possible)
- Urgency (same rules - legitimate only)
- Guarantee (same structure)
- Final CTA (show the recommended tier prominently, other tiers as alternatives)

---

## Quiz Logic: Mapping Answers to Recommendations

### Simple Scoring Model

Assign point values to each answer. Total points determine the tier recommendation.

```
Question 1 (Goal):
- "Basic maintenance" = 1 point
- "Targeted improvement" = 2 points
- "Complete transformation" = 3 points

Question 2 (Experience):
- "Brand new" = 1 point
- "Some experience" = 2 points
- "Advanced" = 3 points

Question 3 (Situation):
- [Low complexity] = 1 point
- [Medium complexity] = 2 points
- [High complexity] = 3 points

Question 4 (Budget signal):
- "Keep it simple" = 1 point
- "Give me what works" = 2 points
- "I want the best" = 3 points

Routing:
- 4-6 points = Starter tier
- 7-9 points = Complete tier (most common)
- 10-12 points = Pro tier
```

**Calibration rule**: 60-70% of quiz completers should route to the Complete tier. If routing is skewed, adjust the point thresholds - not the quiz questions. The questions capture genuine customer segments; the thresholds are a business decision.

### Advanced: Segment-Based Routing

For catalogs with 3+ distinct bundle configurations (not just tiers), use segment routing:

```
Question 1 answer -  determines WHICH bundle family
Question 2-3 answers -  determines WHICH tier within that family
Question 4 -  confirms or overrides tier selection
```

**Example (Supplement brand)**:
- Goal = "Build muscle" -  routes to Performance Stack family
- Goal = "Lose weight" -  routes to Lean Stack family
- Goal = "General health" -  routes to Foundation Stack family
- Experience + Budget -  determines Starter/Complete/Pro within the family

This creates 9 possible recommendations (3 families x 3 tiers) from 4 questions.

---

## Email Capture: When and How

### Capture Point Options

| Timing | Method | Conversion Rate | Best For |
|--------|--------|----------------|----------|
| Before quiz | "Enter email to see your results" | 25-35% of starters | Maximum email capture, but quiz completion drops 20-30% |
| After quiz, before full results | "Enter email to unlock your personalized plan" | 40-50% of completers | Balance of capture and quiz completion |
| After recommendation, optional | "Email me my results + a discount code" | 15-20% of completers | Lowest friction, lowest capture rate |

**Recommendation**: Capture after quiz completion but before showing the full personalized offer page. The customer has invested 60-90 seconds answering questions - they're committed. The email gate feels like unlocking their results, not a barrier.

**Copy for email gate**:
```
Your personalized [Kit Name] is ready.

Where should we send your recommendation + a $[X] first-order code?

[Email field]
[Show My Results]

We'll also send a comparison of all [X] kits so you can make the best choice.
```

---

## Section Length Guide

| Section | Target Words | Notes |
|---------|-------------|-------|
| Quiz Entry | 20-30 | Headline + sub + CTA. Nothing else. |
| Quiz Questions | 10-15 per question | Question + 3-4 answer options. Minimal text. |
| Quiz Results | 50-80 | Personalized recommendation card |
| Problem (personalized) | 100-180 | Shorter than standard - quiz did the setup |
| Recommended Tier | 150-250 | More detailed than standard tier comparison |
| Value Stack | 200-350 | Same as standard, with personalized language |
| Social Proof | 80-120 | Segment-matched testimonials when possible |
| Guarantee + Final CTA | 80-100 | Same as standard |

**Total page**: Quiz (150-200 words) + Offer page (700-1,000 words). Longer than a standard offer page, but the quiz section reads fast because it's interactive.

---

## Implementation Options

### No-Code Quiz Tools

| Tool | Price | Shopify Integration | Custom Results Page |
|------|-------|--------------------|--------------------|
| Octane AI | $50-200/mo | Native | Yes - full customization |
| Typeform | $25-83/mo | Via Zapier | Limited - redirect to results URL |
| Jebbit | Custom pricing | Native | Yes - embedded experience |
| Landingi | $29-65/mo | Via webhook | Yes - conditional page sections |

### Custom Build (Recommended for $20K+ ad spend)

Build the quiz as a custom Shopify page section or standalone page:
- 3-5 question steps with JavaScript state management
- Answer selections stored in local storage or URL parameters
- Results page reads parameters and conditionally displays the recommended tier
- Cart integration follows Pattern 1, 2, or 3 from the Shopify Cart Integration Guide

**Advantage**: No monthly tool cost, full control over design and tracking, no third-party script load times slowing your page.

---

## Behavioral Checklist

- [ ] Quiz has 3-5 questions (not more)
- [ ] Progress indicator visible during quiz
- [ ] Visual answer options used where possible
- [ ] 60-70% of quiz paths route to Complete tier
- [ ] Recommendation copy references specific quiz answers
- [ ] "See all options" available for self-selectors
- [ ] Email capture between quiz and results (not before quiz)
- [ ] Recommended tier highlighted in full offer page below
- [ ] Mobile: quiz steps are full-width, one question per screen
- [ ] Quiz completion tracked in analytics (measure drop-off per question)

---

## Worked Example

**Business**: DTC skincare brand with 12 SKUs across cleansers, serums, and moisturizers. AOV: $52. Monthly Google Ads spend: $20K. 40% of support tickets are "which products should I use together?"

### Quiz Design (4 Questions)

**Q1: What's your #1 skin goal?** (Routes to bundle family)
- A) Reduce acne and breakouts -  Acne Control family
- B) Anti-aging and wrinkle prevention -  Age Defense family
- C) Hydration and glow -  Hydration Boost family

**Q2: How would you describe your skin type?** (Selects product variants)
- A) Oily / combination
- B) Normal / balanced
- C) Dry / sensitive

**Q3: How experienced are you with a multi-step routine?** (Determines tier)
- A) Brand new - keep it simple (1 pt)
- B) Some experience - open to adding steps (2 pts)
- C) Advanced - give me the full protocol (3 pts)

**Q4: Which best describes your skincare approach?** (Confirms tier)
- A) "I want the basics that work" (1 pt)
- B) "Give me what's proven effective" (2 pts)
- C) "I want the best possible results" (3 pts)

### Scoring + Routing

Q3 + Q4 combined:
- 2-3 points -  **Starter Kit** ($39 - cleanser + moisturizer)
- 4-5 points -  **Complete Routine** ($79 - cleanser + serum + moisturizer + treatment)
- 6 points -  **Pro Protocol** ($119 - complete routine + eye cream + weekly mask)

Q1 determines WHICH family. Q2 selects variants within that family.

**Result**: 9 possible recommendations (3 families x 3 tiers). 63% route to Complete Routine (target: 60-70%).

### Sample Quiz Result (Q1: Anti-aging, Q2: Dry/Sensitive, Q3: Some experience, Q4: Give me what's proven)

```
Your Personalized Recommendation: Age Defense Complete Routine

Based on your answers:
- Your goal is anti-aging and wrinkle prevention
- You have dry/sensitive skin (so we selected our fragrance-free formulas)
- You're ready for a multi-step routine but want it proven and simple

Your Age Defense Complete Routine ($79):
- Gentle Amino Acid Cleanser (for sensitive skin) - $22 value
- Retinol 0.3% Serum (beginner-friendly concentration) - $38 value
- Ceramide Barrier Cream (extra hydration for dry skin) - $28 value
- Niacinamide Treatment (anti-aging + calming) - $24 value

Total if purchased individually: $112
Your Complete Routine price: $79
You save: $33

[Add to Cart - $79]

See all options (Starter $39 | Complete $79 | Pro $119)
```

### Email Capture (After quiz, before results)

```
Your personalized skincare routine is ready.

Where should we send your recommendation + a $10 first-order code?

[Email field]
[Show My Results]

We'll also send a comparison of all 3 routine levels so you can make the best choice.
```

**Capture rate**: 42% of quiz completers enter email (benchmark: 40-50%).

### Results

- Quiz completion rate: 78% (started -  finished)
- Quiz-to-purchase rate: 14.2% (3.8x higher than standard product page at 3.7%)
- Average bundle tier selected: Complete Routine (63%)
- AOV for quiz buyers: $82 (vs $52 site-wide)
- Return rate for quiz buyers: 4.8% (vs 9.2% site-wide - right product matching reduces returns)

---

## Your Turn

Design your quiz following the 4-question sequence:
1. Goal question (routes to bundle family)
2. Situation question (selects variants)
3. Experience question (determines tier)
4. Budget signal (confirms tier)

Test the scoring: does 60-70% of the population route to your Complete tier? If not, adjust thresholds.

---

## Interpretation Guide

| Metric | What It Means | Action |
|--------|--------------|--------|
| Quiz completion under 60% | Too many questions or questions feel irrelevant | Reduce to 3 questions or improve question relevance |
| 80%+ routing to Starter | Questions are too skewed toward basic answers | Adjust scoring thresholds (lower the Starter ceiling) |
| 80%+ routing to Pro | Questions are too skewed toward advanced answers | Adjust scoring thresholds (raise the Pro floor) |
| Low email capture ( 25%) | Gate feels too aggressive or value isn't clear | Add "$X off" incentive or move gate after showing partial results |
| High quiz-to-cart but low checkout completion | Cart friction or shipping surprise | Add shipping info to the quiz results page |
| Returns higher for quiz buyers | Quiz is routing to wrong products | Review routing logic - Q2 (situation) may need more options |


# Bundle Discovery Worksheet

**Standalone Value**: $97
**Purpose**: Systematically identify bundle opportunities in your product catalog using purchase data, complementary analysis, and margin validation.

---

## Worked Example: GlowUp Skincare

Before diving into the blank worksheet, here's a fully completed example for a mid-market skincare brand. Use this as a reference for quality and detail level.

**Store**: GlowUp Skincare (Shopify, ~$180k/mo revenue)
**Products analyzed**: Vitamin C Serum ($49), Hyaluronic Moisturizer ($39), Retinol Eye Cream ($29), SPF 50 Daily Sunscreen ($25)

**Co-purchase data (from 6 months of Shopify orders):**
| Product Pair | Co-Purchase Rate | Signal |
|---|---|---|
| Serum + Moisturizer | 42% | Obvious pair - customers already expect these together |
| Moisturizer + Sunscreen | 31% | Strong - natural morning routine connection |
| Serum + Eye Cream | 18% | Moderate - needs "complete brightening" narrative |
| Eye Cream + Sunscreen | 9% | Weak - skip unless bundled with stronger pairs |

**Hero product**: Vitamin C Serum (highest revenue, most reviews, natural routine starting point, 72% margin). Score: 5/5/4 = 14/15.

**Bundle concept**: "Complete Brightening Routine"
- Starter: Serum + Moisturizer = $88 individual → $69 bundle (22% discount)
- Complete: Serum + Moisturizer + Eye Cream = $117 individual → $89 bundle (24% discount)
- Pro: All 4 products = $142 individual → $109 bundle (23% discount)

**Decoy score**: Complete value increase over Starter = 33%. Complete price increase over Starter = 29%. Score: 33/29 = 1.14 - too low. Fix: add a bonus sheet mask ($12 value) to Complete only. New score: 47/29 = 1.62 - better. Adding free shipping ($8 value) to Complete pushes it to 1.89 - approaching the 2.0 target.

**Projected AOV lift**: From $49 (average single product) to $89 (target Complete tier) = 82% AOV increase.

**Margin check**: Complete tier COGS = $31.50. Bundle price = $89. Gross margin = 65%. Passes the 50% threshold.

---

## How to Use This Worksheet

This worksheet walks you through the B.O.L.T. Discovery process from Module 2. Complete each section in order. Most brands finish in 2-3 hours and walk away with 3-5 validated bundle concepts.

You'll need:
- Access to your product catalog (names, prices, categories, margins)
- 6-12 months of order data (ideally from Shopify Analytics or GA4)
- A spreadsheet tool (Google Sheets, Excel)

---

## Section 1: Hero Product Identification

List your top 20 products by revenue. Score each on three criteria:

| Product | Monthly Revenue | Units/Mo | Reviews | Awareness (1-5) | Lead-In Quality (1-5) | Margin Flexibility (1-5) | Total Score | Hero? |
|---------|----------------|----------|---------|------------------|----------------------|--------------------------|-------------|-------|
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |

**Scoring guide:**

**Awareness** (Do customers already know about it?):
- 5: Best seller, most reviews, highest search volume, most-advertised
- 4: Top 25% by revenue, solid review count
- 3: Moderate sales, some reviews
- 2: Growing product, few reviews
- 1: Low visibility, few reviews, new product

**Lead-In Quality** (Is it the natural starting point?):
- 5: First product in a routine/workflow (cleanser starts skincare, food anchors pet care)
- 4: Strong lead-in for most customers
- 3: Could be first or second product
- 2: Usually a second or third purchase
- 1: Supplementary product only

**Margin Flexibility** (Room for bundle discounting?):
- 5: 70%+ gross margin (plenty of room for 25-35% bundle discounts)
- 4: 60-70% gross margin
- 3: 50-60% gross margin (workable but tight on deep discounts)
- 2: 40-50% gross margin (limits tier aggressiveness)
- 1: Under 40% gross margin (problematic for bundle economics)

**Hero threshold**: Products scoring 12+ are your hero product candidates. Prioritize the top 3-5.

**Why 12+ is the threshold**: A product scoring 4/4/4 across all three axes is a solid hero - well-known, natural starting point, and healthy margins. Products at 5/5/2 (high awareness and lead-in but tight margins) can work but limit your tier pricing flexibility. Products at 2/5/5 (great lead-in and margins but low awareness) mean you'll need to spend more on education before the bundle page converts. The 12+ threshold ensures at least two axes are strong and none are critically weak.

**Scoring tiebreaker**: When two products score the same total, prioritize the one with the higher Awareness score. Awareness is the hardest to build and the most expensive to buy. A hero product customers already know about converts immediately. A hero they've never heard of requires the offer page to sell the product AND the bundle - double the cognitive load.

### Bundle Type Classification

For each hero candidate, classify the most natural bundle type:

| Hero Product | Bundle Type | Logic | Tier Naming Direction |
|-------------|-------------|-------|----------------------|
| | Completion / Enhancement / Protection / Volume / Upgrade | Why these products together? | e.g., "Complete Kit" / "Full Routine" / "Pro Setup" |
| | | | |
| | | | |

**Bundle type definitions:**
- **Completion**: Complete the solution (bivvy + blanket + fire starter)
- **Enhancement**: Make it work better (serum + moisturizer + SPF)
- **Protection**: Protect the investment (phone + case + screen protector)
- **Volume**: More of the same (1-pack, 3-pack, 6-pack)
- **Upgrade**: Better version + extras (basic kit to pro kit)

---

## Section 2: Purchase Sequence Mapping

For each hero product, pull the following data from your order history:

**Hero Product: ________________**

| Product Frequently Bought With | % of Hero Buyers Who Also Bought | Average Days Between Purchases | Same Order or Separate? |
|-------------------------------|--------------------------------|-------------------------------|------------------------|
| | | | |
| | | | |
| | | | |
| | | | |
| | | | |

**Where to find this data:**
- Shopify: Analytics   Products   [Product]   "Frequently bought with"
- GA4: Explore   Product Affinity report
- Manual: Export orders containing the hero product, analyze accompanying items

**Repeat this table for each hero product (3-5 heroes).**

---

## Section 3: Complementary Cluster Building

For each hero product, assign complementary products to three levels:

**Bundle Concept: ________________** (Hero Product: ________________)

| Level | Product | Individual Price | Role in Bundle |
|-------|---------|-----------------|----------------|
| Level 1 (Essential) | | $ | Makes the hero work better |
| Level 1 (Essential) | | $ | |
| Level 2 (Enhancement) | | $ | Adds capability |
| Level 2 (Enhancement) | | $ | |
| Level 3 (Premium) | | $ | Upgrades the experience |
| Level 3 (Premium) | | $ | |

**Tier mapping:**
- Starter = Hero + Level 1 products
- Complete = Hero + Level 1 + Level 2 products
- Pro = Hero + Level 1 + Level 2 + Level 3 products

---

## Section 4: Tier Construction and Pricing

**Bundle Concept: ________________**

| | Starter | Complete | Pro |
|---|---------|----------|-----|
| Products included | | | |
| Individual total | $ | $ | $ |
| Bundle price | $ | $ | $ |
| Discount % | % | % | % |
| Gross margin | % | % | % |
| Per-item cost | $ | $ | $ |

**Pricing formula check:**
- [ ] Starter price = Hero price minus 10-15%
- [ ] Complete price = 1.6-1.8x Starter price
- [ ] Complete discount feels "obviously worth it" vs Starter
- [ ] Pro price = 2.2-2.5x Starter price
- [ ] Pro-to-Complete gap   Complete-to-Starter gap
- [ ] All tier prices end in 7 or 9 (charm pricing)

---

## Section 4b: Decoy Effect Validation

**Bundle Concept: ________________**

For the decoy effect to work, the Starter-to-Complete upgrade must feel like an obvious decision. Use this formula to verify:

| Metric | Starter | Complete | Calculation |
|--------|---------|----------|-------------|
| Tier price | $ | $ | |
| Tier total value (sum of individual prices) | $ | $ | |
| Price increase (Starter to Complete) | | | (Complete price - Starter price) / Starter price x 100 = ___% |
| Value increase (Starter to Complete) | | | (Complete value - Starter value) / Starter value x 100 = ___% |
| **Decoy Score** | | | Value increase % / Price increase % = ____ |

**Decoy Score interpretation:**
- Above 2.5: Excellent - Complete is an irresistible upgrade
- 2.0-2.5: Good - Strong pull toward Complete
- 1.5-2.0: Weak - Rework tier composition (add more value to Complete or reduce its price)
- Below 1.5: Failing - Starter doesn't function as an effective decoy

**Price ratio check:** Starter price / Complete price = ____ (target: 0.60-0.75)
**Value ratio check:** Starter value / Complete value = ____ (target: 0.30-0.40)

**Also verify the Pro tier anchor:**
- Pro-to-Complete price gap   Complete-to-Starter price gap? Y/N ____
- Pro feels "nice to have" while Complete-to-Starter upgrade feels "obviously worth it"? Y/N ____

---

## Section 5: Margin Validation

| Tier | Product Costs (COGS) | Bundle Price | Gross Margin $ | Gross Margin % | Pass? ( 50%) |
|------|---------------------|-------------|---------------|---------------|-------------|
| Starter | $ | $ | $ | % | Y/N |
| Complete | $ | $ | $ | % | Y/N |
| Pro | $ | $ | $ | % | Y/N |

**Blended margin calculation:**

Expected distribution: Starter 20% / Complete 60% / Pro 20%

Blended margin = (Starter margin x 0.20) + (Complete margin x 0.60) + (Pro margin x 0.20) = _____%

**Compare to current single-product margin**: Current ____% vs Bundle blended ____%

If bundle blended margin is within 5 points of single-product margin but AOV is 30%+ higher: margin math works.

---

## Section 6: Demand Validation

For each bundle concept, check search demand for the solution:

| Bundle Concept | Search Query | Monthly Volume | Competition | Demand Signal |
|----------------|-------------|---------------|-------------|---------------|
| | | | | Strong/Moderate/Weak |
| | | | | |
| | | | | |

**Where to check**: Google Keyword Planner, Ahrefs, or DataForSEO

Search queries to check:
- "[product category] bundle"
- "[product category] starter kit"
- "[product category] complete set"
- "best [product category] for beginners"

If monthly volume exceeds 500 for relevant queries: Strong demand signal.

---

## Summary: Your Bundle Concepts

| Rank | Bundle Name | Hero Product | Tiers | Target AOV | Priority |
|------|-------------|-------------|-------|------------|----------|
| 1 | | | $ / $ / $ | $ | Build first |
| 2 | | | $ / $ / $ | $ | Build second |
| 3 | | | $ / $ / $ | $ | Test |
| 4 | | | $ / $ / $ | $ | Future |
| 5 | | | $ / $ / $ | $ | Future |

**Next step**: Take your #1 bundle concept to Module 5 (Offer Page Architecture) and build your first offer page using the Offer Page Copy Templates (Bonus 3).


# Pricing Psychology Cheat Sheet

**Standalone Value**: $47
**Purpose**: One-page implementation reference for all 12 pricing tactics from Module 6. Print and pin next to your screen.

---

## Two Frameworks, 12 Tactics

These tactics draw from two Nobel Prize-level frameworks:

**Kahneman (System 1/System 2)**: How customers process pricing decisions
- System 1 tactics (fast, emotional): Anchoring, Decoy Effect, Loss Aversion, Charm Pricing, Endowment Effect
- System 2 tactics (slow, logical): Price Partitioning, Compromise Effect, Reference Prices

**Cialdini (6 Principles of Persuasion)**: What makes customers say yes
- Social Proof Pricing, Ethical Scarcity, Contrast Effect, Bundle-Specific Urgency

**Rule**: System 1 tactics go on tier cards, badges, and headlines. System 2 tactics go in value breakdowns, FAQs, and comparison tables.

### Kahneman's System 1 vs System 2 Placement Rules

This isn't just theory - where you place each tactic on the page directly determines whether it works. Kahneman's core insight: System 1 is fast, emotional, and effortless. System 2 is slow, logical, and deliberate. Customers enter your page in System 1 mode (scanning, feeling, deciding intuitively). They shift to System 2 only when they need to justify the purchase to themselves.

**System 1 placement (fast-scan elements - tier cards, badges, headlines, CTAs, sticky bars):**
- Anchoring: Show the highest price first so System 1 sets the reference point before rational evaluation begins
- Decoy effect: Tier card layout and visual de-emphasis of Starter happens at a glance
- Loss aversion: "Don't miss" and "costs you more" in headlines and threshold messaging
- Charm pricing: $49/$79/$149 on tier cards - left-digit processing is purely System 1
- Endowment effect: "Your bundle" and "Claim My Kit" in CTAs and tier descriptions
- Social proof badges: "Most Popular" and "67% choose this" on the target tier card

**System 2 placement (deliberate-evaluation elements - value breakdowns, FAQs, comparison tables, guarantee section):**
- Price partitioning: Per-item cost breakdowns and daily cost calculations in the value stack
- Compromise effect: Detailed feature comparison table where customers can methodically compare tiers
- Reference prices: "A CRO consultant charges $5,000+" in the FAQ or value justification section
- Contrast effect: Feature gap visualization in the comparison table (check marks vs empty cells)

**Why this matters**: Putting a System 2 tactic in a System 1 position wastes it. A detailed per-item cost breakdown on the tier card itself adds clutter and slows the scanning process. Putting a System 1 tactic in a System 2 position buries it. A "Most Popular" badge hidden in the FAQ section misses the moment when it would influence tier selection. Match the tactic to the processing mode of the page section.

---

## 12 Pricing Tactics - Quick Implementation Guide

### 1. Anchoring (Kahneman - System 1)
**What**: First number seen becomes reference point for all subsequent prices
**Where to use**: Tier comparison (show Pro tier first), value stack ("If purchased individually: $105")
**How to implement**: Display highest-price option first or left-most in comparison table. Use the 4-step display sequence: individual prices -  total value -  bundle price -  savings.
**Credibility rule**: Anchor ratio must be 1.3-2.0x. Below 1.3x, savings don't feel meaningful. Above 2.0x, customers suspect inflated pricing.
**Expected lift**: 63% increase in mid-tier selection when anchor is visible
**Test**: Show Pro first vs Starter first. Measure mid-tier selection rate.

### 2. Decoy Effect (Kahneman - Asymmetric Dominance)
**What**: A strategically inferior option makes the target option more attractive
**Where to use**: Starter tier design - close in price to Complete, far in value
**How to implement**: Calculate decoy score: (value gap %) / (price gap %). Target above 2.0. Starter price should be 60-75% of Complete price. Starter value should be 30-40% of Complete value.
**Formula**: If Starter is $34/$34 value and Complete is $49/$76 value: price gap 44%, value gap 124%, decoy score 2.82 (excellent)
**Expected lift**: 41% increase in target tier selection
**Test**: Three tiers vs two tiers. Measure Complete tier selection rate.

### 3. Loss Aversion (Kahneman - Prospect Theory)
**What**: Pain of losing is roughly 2x stronger than pleasure of gaining
**Where to use**: Value stack, CTA copy, problem section, threshold messaging
**How to implement**: "Buying individually costs you $26 more" instead of "Save $26 with the bundle"
**Intensity rule**: Loss language should escalate with proximity. Standard: "Add $25 to reach free shipping." Close (within $10): "Almost there! Don't miss..." Very close (within $5): "SO CLOSE! Just $5 more!"
**Expected lift**: 12-18% increase in bundle selection
**Test**: "Save $X" vs "costs $X more" in value stack. Measure conversion rate.

### 4. Charm Pricing (Kahneman - Left-Digit Effect)
**What**: Prices ending in 7/9 feel significantly cheaper than round numbers
**Where to use**: Every tier price
**How to implement**: $49 / $79 / $149 instead of $50 / $80 / $150. Use .95 or .97 endings.
**Price psychology**: .00 endings for premium feel, .99/.97 for value feel. Match to your brand positioning.
**Expected lift**: 6-9% conversion improvement
**Test**: Charm prices vs round prices. Measure conversion rate.

### 5. Price Partitioning (Kahneman - Mental Accounting)
**What**: Breaking price into components makes it feel smaller by moving it to a different mental account
**Where to use**: Per-item cost line, daily cost calculation, relatable comparisons
**How to implement**: "$79 for 5 products = less than $16 each" or "$1.32/day" or "Less than your daily coffee"
**Three breakdowns to include**: Per-item cost, per-day cost, and one relatable comparison
**Expected lift**: Reduces price resistance on high-AOV bundles
**Test**: Total price only vs per-item breakdown. Measure add-to-cart rate.

### 6. Compromise Effect (Kahneman - System 1)
**What**: People disproportionately choose the middle option to avoid extremes
**Where to use**: Three-tier architecture (the structural foundation)
**How to implement**: Design Complete tier with clear upgrades over Starter (enough that Starter feels incomplete) and clear overlap with Pro (enough that Pro feels like overkill for most). Pre-select Complete as the default.
**Expected lift**: 58-67% mid-tier selection when calibrated correctly (60-70% with default selection)
**Test**: Track tier distribution weekly. Adjust gaps if mid-tier   55%.

### 7. Endowment Effect (Kahneman - Pre-Purchase Ownership)
**What**: People value things more when they feel ownership - even before purchase
**Where to use**: ALL copy on the offer page - tier descriptions, CTAs, shipping, gifts
**How to implement**: Replace every instance of "the" with "your" in product references. Use present tense ("You're getting") not future ("You will get"). CTAs use "My" not "Your": "Claim My Bundle" not "Get Your Bundle."
**Language substitution table**:
- "The bundle includes..." -  "Your bundle includes..."
- "Get free shipping" -  "Your order ships free"
- "You will receive..." -  "You're getting..."
- "Buy Now" -  "Claim My Bundle"
- "Includes bonus gift" -  "Your bonus gift:"
**Expected lift**: Subtle but compounds across all copy (5-12% when applied consistently)
**Test**: "Your" language vs "The" language in tier descriptions.

### 8. Social Proof Pricing (Cialdini - Consensus Principle)
**What**: Showing what others choose influences selection. One of Cialdini's 6 core persuasion principles.
**Where to use**: "Most Popular" badge on Complete tier, selection rate statistic
**How to implement**: Add badge after collecting real data (don't fake it). Show "67% of customers choose this" once you have data. Pre-selected tiers also use the default effect (2-3x more likely to be chosen).
**Expected lift**: 22-34% increase in badged tier selection
**Test**: Badge vs no badge on mid-tier. Measure selection rate.

### 9. Ethical Scarcity (Cialdini - Scarcity Principle)
**What**: Limited availability increases perceived value. Must be legitimate.
**Where to use**: Launch window, seasonal bundles, limited configurations
**How to implement**: "Launch pricing ends [real date]" or "Seasonal bundle through [date]"
**Hard rules**: No fake countdown timers. No "Only 3 left!" unless actually limited. No scarcity claims that reset on page refresh. Dishonest urgency destroys trust permanently.
**Expected lift**: 15-30% urgency lift when legitimate
**Test**: Page with scarcity element vs without. Only use real scarcity.

### 10. Contrast Effect (Kahneman - Relative Evaluation)
**What**: Items appear more or less valuable based on what's placed next to them
**Where to use**: Tier feature comparison table
**How to implement**: Design LARGE feature gap between Starter and Complete (Starter feels incomplete). Design SMALL feature gap between Complete and Pro (Pro feels incremental). This makes the Starter-to-Complete upgrade feel essential while Complete-to-Pro feels optional.
**Expected lift**: Increases perception of Complete tier value
**Test**: Adjust which features are highlighted per tier. Track tier selection.

### 11. Reference Price Manipulation (Cialdini - Authority + Contrast)
**What**: External references change value perception by providing an outside anchor
**Where to use**: Value stack, problem section, comparison copy
**How to implement**: "A CRO consultant charges $5,000+ for this strategy" or "Individual purchase over 6 months: $315 - the Complete Kit gives you everything for $79"
**Expected lift**: Makes your price feel small relative to alternatives
**Test**: With external reference vs without. Measure conversion rate.

### 12. Bundle-Specific Urgency (Cialdini - Scarcity + Commitment)
**What**: Time-limited configurations create real urgency because the specific combination genuinely goes away
**Where to use**: Seasonal bundles, launch bundles, holiday configurations
**How to implement**: Change bundle composition quarterly. Seasonal-specific products. First-purchase-only bundle pricing. This is "limited configuration" scarcity - different from "limited stock" and more honest.
**Expected lift**: 20-40% conversion lift during urgency windows
**Test**: Seasonal vs evergreen bundle pages. Measure conversion rate and AOV.

---

## Tactics by Traffic Temperature

Not every tactic works at every stage. Match your tactics to how familiar the visitor is with your brand.

**Cold Traffic (First-time visitors from ads, search, or social)**
Priority tactics: Anchoring (set the reference point before they comparison-shop), Contrast Effect (make the value gap obvious at a glance), Social Proof Pricing (other people's choices reduce risk for a stranger), Guarantee prominence (risk reversal is the #1 conversion driver for cold traffic).
Avoid: Bundle-Specific Urgency (they don't trust you enough yet for urgency to work - it reads as pressure).

**Warm Traffic (Email list, retargeting, returning visitors)**
Priority tactics: Endowment Effect ("your bundle" language resonates because they've been thinking about it), Price Partitioning (they're ready to justify the purchase - give them the math), Decoy Effect (they're comparing tiers now, not deciding whether to buy at all), Bundle-Specific Urgency (they already trust you - a real deadline moves them to action).
Avoid: Heavy anchoring (they already know your prices - over-anchoring feels manipulative on return visits).

**Hot Traffic (Past customers, loyalty program, referrals)**
Priority tactics: Cross-sell bundle pricing (they already own one product - show them the system), Volume discounts (they know the product works - reward bigger orders), Loyalty pricing (exclusive bundle prices for returning customers), Endowment Effect at maximum intensity ("upgrade your routine" not "try our bundle").
Avoid: Problem agitation (they already bought - skip the pain points and go straight to value).

---

## Quick Implementation Checklist

Before launching any offer page, verify:

**Pricing Architecture (Kahneman):**
- [ ] Anchoring: 4-step display sequence applied (individual -  total -  bundle -  savings)
- [ ] Anchoring credibility: Ratio between 1.3-2.0x (not inflated)
- [ ] Decoy: Starter price is 60-75% of Complete price, value is 30-40%
- [ ] Decoy score: Above 2.0 (value gap / price gap)
- [ ] Loss aversion: "Costs you more" framing on page, intensity escalates near thresholds
- [ ] Charm pricing: All prices end in 7 or 9
- [ ] Per-item cost: Shown alongside total price with relatable comparison
- [ ] Three tiers: Good/Better/Best with Complete as pre-selected default
- [ ] Ownership language: "Your" not "The" in ALL tier descriptions and CTAs

**Persuasion Elements (Cialdini):**
- [ ] Social proof badge: "Most Popular" on target tier (only if real data)
- [ ] External reference: Comparison to alternative costs (agency, individual purchase total)
- [ ] Feature contrast: Big gap Starter-Complete, small gap Complete-Pro
- [ ] Ethical scarcity: Real deadlines only - no fake timers or inventory counts

**No percentage discounts**: All savings shown as dollar amounts ("Save $28" not "20% off")

Score: ___/13 tactics applied

**Target**: 10+ tactics active on every offer page.


# Offer Page Copy Templates

**Standalone Value**: $147
**Purpose**: Three complete offer page copy frameworks for different bundle types. Fill in your product details, adapt the language, and launch.

---

## How to Use These Templates

Each template provides the full 8-section structure from Module 5. Replace the bracketed placeholders with your specific product details, prices, and proof points.

### The Emotional Truth Extraction Framework

Before writing any offer page copy, run this 5-question framework to extract the emotional truths behind your product. Generic copy comes from skipping this step. Specific, high-converting copy comes from answering these questions with real customer data:

**Question 1: What does the customer say out loud when frustrated?**
Pull from 1-star and 3-star reviews, support tickets, and Reddit threads. You're looking for the exact phrases customers use - not your marketing version of their problem. "I've tried three different serums and nothing works" is an emotional truth. "Many customers struggle with product selection" is marketer language.

**Question 2: What are they secretly afraid of?**
The unspoken fear behind the purchase. For skincare: "What if I'm wasting money again?" For supplements: "What if this is just another placebo?" For pet products: "What if I'm not taking good enough care of my dog?" This fear drives the guarantee section and the problem agitation copy.

**Question 3: What would they brag about to a friend?**
This reveals the outcome they actually care about - not the product features. Nobody brags about buying a serum. They brag about someone asking what they've been doing differently. Nobody brags about a pet supplement. They brag about the vet commenting on their dog's coat. Use this language in your hero headline and social proof section.

**Question 4: What's the "lazy" version of success they'd accept?**
Customers want results with minimum effort. "Just tell me what to buy" is the emotional truth behind every bundle purchase. Your tier comparison copy should make the Complete tier feel like "the decision has been made for you."

**Question 5: What did they try before this that didn't work?**
This feeds your problem agitation section directly. If they tried "Buy 2 Get 1 Free" deals, generic collection pages, or random product combinations - call those out specifically. The reader should think "that's exactly what I did" before you present your solution.

**Template 1**: Product bundles (physical products grouped by routine/workflow)
**Template 2**: Service/product hybrid bundles (product + digital/service component)
**Template 3**: Seasonal/limited offer bundles (time-limited configurations)

---

## Filled Example: GlowUp Skincare Complete Brightening Routine

This is Template 1 filled in for a mid-market skincare brand. Use it as a reference for tone, specificity, and length.

### Hero

**Headline**: Clear, Bright Skin in 30 Days - The Complete Routine in One Kit

**Subheadline**: 4 clinical-strength products. 60 days of supply. One price. Save $28 vs buying individually.

**CTA**: Choose Your Brightening Kit - Starting at $69

**Trust badges**: 60-Day Money Back | Free Shipping on Complete   Pro | 2,400+ 5-Star Reviews

### Problem Agitation

You've been building your skincare routine one product at a time. A serum from one brand, a moisturizer from another, sunscreen from whoever was on sale. Each purchase felt like a gamble - will this one actually work with what you're already using?

The real problem isn't the products. It's the approach. Layering mismatched formulas means active ingredients compete instead of complement. Your vitamin C degrades before it absorbs because your moisturizer's pH is wrong. Your retinol irritates because nothing in your routine buffers it.

The average skincare buyer spends $142 buying these four products separately over 3-4 months. Plus 6+ hours reading ingredient lists and Reddit threads. Plus the half-used bottles under the sink that didn't deliver.

What if someone who actually understands formulation chemistry built the routine for you?

### Tier Comparison

| | Starter Glow | Complete Brightening | Pro Radiance |
|---|---|---|---|
| Vitamin C Serum (20% L-AA) | Included | Included | Included |
| Hyaluronic Moisturizer | Included | Included | Included |
| Retinol Eye Cream | - | Included | Included |
| SPF 50 Daily Sunscreen | - | - | Included |
| Bonus: Application Guide | - | Included | Included |
| Bonus: Ingredient Cheat Sheet | - | - | Included |
| **Your Price** | **$69** | **$89** | **$109** |
| **Per product** | **$34.50** | **$29.67** | **$27.25** |
| **You save** | **$19** | **$28** | **$33** |

[Most Popular badge on Complete Brightening]

### Value Stack

Your Complete Brightening Kit includes:

**The confidence of knowing your products work together.** Every formula in this kit was designed to layer in a specific order. The vitamin C absorbs first, the hyaluronic acid locks in moisture, and the retinol eye cream works overnight without irritation.

**Clinical-strength brightening in 4 weeks.** 20% L-Ascorbic Acid vitamin C - the concentration dermatologists recommend. Most drugstore serums use 5-10% or cheaper derivatives.

**A complete AM/PM routine.** Serum and moisturizer for morning. Eye cream at night. No gaps, no redundancy, no guessing which product goes when.

**FREE Application Guide ($29 value)** - the exact layering sequence, wait times, and amounts that double absorption vs random application. Based on the same protocol our formulator uses.

**60-day money-back guarantee.** If your skin doesn't look noticeably brighter in 30 days, email hello@glowupskincare.com with a photo and we'll refund every dollar. We've shipped 12,000+ kits with a 4.2% return rate.

**Join 2,400+ customers** who switched from piecemeal buying to the Complete Brightening routine.

**Free shipping included** on your Complete Brightening Kit.

| What You Get | Individual Price |
|---|---|
| Vitamin C Serum (60-day supply) | $49 |
| Hyaluronic Moisturizer (60-day supply) | $39 |
| Retinol Eye Cream (60-day supply) | $29 |
| Application Guide (digital) | $29 |
| **If purchased individually** | **$146** |
| **Your Complete Brightening price** | **$89** |
| **You save** | **$57** |

3 products for $89 - that's less than $30 each. $89 for a 60-day supply = $1.48/day. Less than your morning coffee.

### Social Proof

  "I spent $200+ trying to build my own routine from different brands. This kit replaced everything and my skin actually cleared up in 3 weeks."
  - **Sarah M.**, verified buyer

  "As someone with sensitive skin, I was nervous about layering actives. The application guide made it foolproof. Zero irritation."
  - **Jamie L.**, verified buyer

  "My dermatologist asked what I changed. That's when I knew it was working."
  - **Rachel K.**, verified buyer

### Urgency

Free travel-size Brightening Mask included with every Complete and Pro kit ordered this month. This bonus goes away March 1.

### Guarantee

Try the Complete Brightening Kit for 60 days. If you don't see visibly brighter, more even skin, email us a photo at hello@glowupskincare.com and we'll refund your purchase in full. No hoops, no return shipping required.

We can offer this because 95.8% of customers keep their kit.

### Final CTA

Stop guessing. Start with the routine that 2,400+ customers already trust.

- Starter Glow - $69 [Add to Cart]
- **Complete Brightening - $89 [Add to Cart] Most Popular**
- Pro Radiance - $109 [Add to Cart]

Free shipping. 60-day guarantee. Your skin will thank you by day 14.

---

## Template 1: Product Bundle Offer Page

Best for: Skincare routines, supplement stacks, pet care kits, kitchen sets, fitness gear bundles.

### Section 1: Hero

**Headline formula**: [Desired outcome] + [Unique Mechanism] + [Time/Simplicity]

Write 3 headline candidates. Score each on:
- Scannability (can you understand it in under 2 seconds?)
- Thumb-stop (would this stop someone mid-scroll?)
- Clarity (does it communicate the core value?)
- Unique-to-product (could a competitor use this exact headline? If yes, rework.)

Target score: 70+ out of 100. If none pass, try a different format.

**Primary format - Offer-Price**: "[Outcome] - Everything You Need in One [Kit]"
**Secondary format - Bold Call-Out**: "Stop [Pain]. Start [Outcome]."
**Tertiary format - Numerical**: "[X] Products. [Y] Days. $[Price]."

Example: "Clear Skin in 30 Days - Everything You Need in One Kit"

**Subheadline formula**: [X] products. [Y] weeks of supply. One price. [Savings statement].

Example: "5 products. 60 days of supply. One price. Save $26 vs buying individually."

**CTA**: Choose Your [Kit/Set] - Starting at $[Starter price]

**Trust badges**: [Guarantee] | [Shipping] | [Review count]

**3-Rule Filter for headlines**: Before finalizing, verify the headline is (1) Visualizable - can the reader picture the outcome? (2) Falsifiable - does it make a specific enough claim to be tested? (3) Unique - does it differentiate from competitors?

### Section 2: Problem Agitation

**Paragraph 1** (Surface pain):
You've been buying [product category] one product at a time. Each purchase feels like a gamble - will this one actually work? Will it work with the other products you're already using?

**Paragraph 2** (Deeper problem):
The real problem isn't the products. It's the approach. Buying individually means you're building a [routine/system] from mismatched pieces. No one told you which [products] work together, in what order, or at what amounts.

**Paragraph 3** (Cost):
The average [customer type] spends $[individual total] buying these products separately over [timeframe]. Plus [X] hours researching which ones to combine. Plus the products that didn't work and sat in the [cabinet/shelf] unused.

**Paragraph 4** (Transition):
What if you could skip the guessing entirely?

### Section 3: Tier Comparison

| | Starter [Name] | Complete [Name] | Pro [Name] |
|---|---|---|---|
| [Hero Product] | Included | Included | Included |
| [Level 1 Product] | Included | Included | Included |
| [Level 2 Product A] | - | Included | Included |
| [Level 2 Product B] | - | Included | Included |
| [Level 3 Product] | - | - | Included |
| [Bonus Item] | - | - | Included |
| **Price** | **$[Starter]** | **$[Complete]** | **$[Pro]** |
| **Per item** | **$[calc]** | **$[calc]** | **$[calc]** |
| **You save** | **$[calc]** | **$[calc]** | **$[calc]** |

[Most Popular] badge on Complete tier

### Section 4: Value Stack (8-Step Psychological Sequence)

Present value in this exact order - emotion first, logic second:

**Step 1 - Emotional benefit** (what they'll feel):
"[Peace of mind / Confidence / Relief] knowing you have [complete solution]"

**Step 2 - Primary functional benefit** (the core product value):
"[Key product capability with specific number: "90% heat retention" / "60-day supply"]"

**Step 3 - Secondary benefits** (supporting features):
"[Feature 1] + [Feature 2] + [Feature 3]"

**Step 4 - Bonus/unexpected value** (overdelivery):
"[Unexpected benefit: free guide, community access, donation per purchase]"

**Step 5 - Risk reversal** (remove barriers):
"[30]-day [satisfaction/money-back] guarantee"

**Step 6 - Social proof stat** (external validation):
"Join [X]+ [customers/enthusiasts] who chose the [Tier Name]"

**Step 7 - Ethical urgency** (reason to act now):
"Free [bonus item] included through [real date]"

**Step 8 - Price anchor to actual** (the final reframe):

| What You Get | Individual Price |
|---|---|
| [Product 1] ([supply duration]) | $[price] |
| [Product 2] ([supply duration]) | $[price] |
| [Product 3] ([supply duration]) | $[price] |
| [Product 4] ([supply duration]) | $[price] |
| [Product 5] ([supply duration]) | $[price] |
| **If purchased individually** | **$[total]** |
| **Your [Tier Name] price** | **$[bundle price]** |
| **You save** | **$[savings]** |

**Per-item cost**: "[X] products for $[price] - that's less than $[per-item] each"
**Per-day cost**: "$[price] for a [X]-day supply = $[per-day]/day"
**Relatable comparison**: "Less than [daily coffee / streaming subscription / dinner out]"

**Important**: Use "Your [Tier Name] price" not "The [Tier Name] price" (endowment effect). Show dollar savings, never percentages.

### Section 5: Social Proof

  "[Specific result quote mentioning the bundle/kit]"
  - **[Name]**, [Context]

Include 4 types of testimonials for maximum psychological coverage:

1. **Identity-matching**: "As a [their identity], I was skeptical about bundles..."
2. **Objection-crushing**: "I wondered if I really needed all of this..."
3. **Value-validation**: "When I added up what I would have paid separately..."
4. **Result**: "[Specific outcome] after [time period]"

Include 3-5 reviews that specifically mention: the convenience of buying together, the results from using products as a system, or the value of the bundle pricing.

### Section 6: Urgency

Choose one (must be legitimate):
- "Free [bonus item] included with every [Complete/Pro] kit purchased this [month/week]"
- "[Seasonal] kit - available through [date]"
- "Launch pricing - [Starter/Complete/Pro] prices increase [date]"

### Section 7: Guarantee

Try the [Starter/Complete/Pro] kit for [30] days. If you don't [specific outcome] with the [product combination], email us at [email] with [proof requirement - photo, screenshot] and we'll refund your purchase.

We can offer this because [reason for confidence - data point, track record].

### Section 8: Final CTA

[Restate the transformation in one sentence]

Choose Your Kit:
- [Starter Name] - $[price] [Add to Cart]
- [Complete Name] - $[price] [Add to Cart] **Most Popular**
- [Pro Name] - $[price] [Add to Cart]

[Micro-copy: Free shipping. 30-day guarantee. [X] customers already chose their kit.]

---

## Template 2: Service/Product Hybrid Bundle

Best for: Products + digital guide, product + consultation, product + membership access, supplements + coaching program.

### Section 1: Hero

**Headline formula**: [Product] + [Service/Digital Component] = [Outcome]

**Primary format**: "The Complete Setup: [Product Category] + [Knowledge Component]"
**Secondary format**: "[Outcome] - The Products AND the Plan"
**Tertiary format**: "Stop Wasting [Product]. Start [Outcome]. Products + Coaching in One Kit."

Example: "The Complete Setup: Premium Coffee Gear + Brewing Masterclass"

**Subheadline**: Get the [products] AND the knowledge to use them like a [expert/professional]. [X] products + [Y]-week [program/guide]. Save $[amount] vs buying separately.

### Section 2: Problem Agitation

Focus on: The product alone isn't enough without the knowledge/service to use it properly. Customers who buy [product] without [guidance/service] typically [specific failure - underuse, wrong technique, wasted money].

**Paragraph 1** (The product-only trap):
You bought the [product category] but nobody showed you how to get the most out of it. The [product] works - when used correctly. Most people use it wrong for 3-6 months before they either figure it out or give up.

**Paragraph 2** (The knowledge gap):
The real issue isn't the product quality. It's the gap between owning the product and knowing how to use it for [desired outcome]. That gap costs you [time wasted / money wasted / results missed].

**Paragraph 3** (The cost of separate solutions):
Buying the products separately: $[price]. Hiring a [coach/consultant]: $[price]/session. This kit gives you both for less than either one alone.

### Section 3: Tier Comparison

| | Essentials | Complete Package | Expert Setup |
|---|---|---|---|
| [Core products] | Included | Included | Included |
| [Additional products] | - | Included | Included |
| [Digital guide/course] | Basic version | Full version | Full version |
| [Community/group access] | - | Included | Included |
| [Service component] | - | - | [1-on-1 consultation/setup call] |
| **Price** | **$[price]** | **$[price]** | **$[price]** |

### Worked Example: FitStack Supplements + Coaching Program

| | Starter Stack | Complete Program | Pro Coaching |
|---|---|---|---|
| Core Supplement Stack (Protein + Creatine + Multivitamin) | Included | Included | Included |
| Advanced Supplements (Pre-workout + Omega-3) | - | Included | Included |
| 12-Week Training Program (PDF) | Quick-start guide only | Full program | Full program |
| Private Community Access (6 months) | - | Included | Included |
| 1-on-1 Nutrition Coaching Call (60 min) | - | - | Included |
| **Your Price** | **$89** | **$149** | **$279** |
| **Per month** | **$29.67/mo** | **$24.83/mo** | **$46.50/mo** |
| **You save vs separate** | **$31** | **$98** | **$171** |

### Social Proof for Hybrid Offers

Hybrid bundles need a specific type of social proof - testimonials that validate the *combination*, not just the product or service individually:

**Product-only buyer regret**: "I bought the supplements three times before I found this bundle. Turns out I was taking them at the wrong times and missing half the benefit. The training program fixed everything."

**Service upgrade testimonial**: "I started with the Starter Stack. Two months later I upgraded to the Complete Program because the quick-start guide wasn't enough. Should have started with Complete."

**Expert tier validation**: "The coaching call was worth the price difference alone. She looked at my training plan and diet and found 3 things I was doing wrong. I would have wasted months without it."

**Copy variation by price point:**
- **Under $100 hybrid**: Emphasize convenience and cost savings vs buying separately. "Everything you need in one order."
- **$100-250 hybrid**: Emphasize the knowledge gap and expertise transfer. "The products AND the plan to use them."
- **$250+ hybrid**: Emphasize personalization and the 1-on-1 component. "Your personal [expert] builds this around you."

### Section 4: Value Stack (Hybrid-Specific)

Hybrid bundles have a unique advantage in value stacking: physical products have concrete prices, while digital/service components have *perceived* values that can be legitimately high without feeling inflated.

| What You Get | Value |
|---|---|
| Core Supplement Stack (3-month supply) | $120 |
| Advanced Supplements (3-month supply) | $78 |
| 12-Week Training Program | $97 |
| Private Community Access (6 months) | $47 |
| **If purchased individually** | **$342** |
| **Your Complete Program price** | **$149** |
| **You save** | **$193** |

**Key rule for hybrid stacks**: List physical products with their real retail prices. List digital/service components at the price they sell for individually (or would sell for). If the course doesn't exist as a standalone product, use conservative comparison pricing: "Similar 12-week programs sell for $97-197."

### Sections 5-8: Follow same structure as Template 1

Social proof should include quotes about the combination of product + knowledge/service - not just the product quality.
Guarantee should cover both the physical and digital components: "If the [product] doesn't work with the [program], return both for a full refund."

---

## Template 3: Seasonal/Limited Offer Bundle

Best for: Holiday collections, seasonal kits, limited edition combinations, first-purchase offers, gift sets.

### Section 1: Hero

**Headline formula**: [Season/Event] [Kit/Collection] - Only Available Through [Date]

**Primary format**: "[Season] [Kit/Collection] - Only Available Through [Date]"
**Secondary format**: "The Perfect [Holiday] Gift: [X] Products, One Price, Done."
**Tertiary format**: "[Season]-Only [Outcome] - This Bundle Disappears [Date]"

Example: "Summer Essentials Kit - Available Through August 31"
Example: "The Perfect Holiday Gift: 5 Products, One Price, Done."

**Subheadline**: [X] curated [products] for [seasonal need]. [Savings]. This specific combination goes away on [date].

### Section 2: Problem Agitation

Focus on: Seasonal relevance (why they need this NOW), the cost of buying piecemeal during the season, and the fact that this specific combination won't be repeated.

**Paragraph 1** (Seasonal urgency):
[Season/Holiday] is [X weeks] away and you still haven't [solved the seasonal problem]. Last year you scrambled, bought random products at full price, and ended up with [bad outcome].

**Paragraph 2** (The piecemeal cost):
Buying these products individually during [season] means paying full retail on every item. Plus the stress of choosing from hundreds of options when you're already busy. Plus the risk that half of what you buy doesn't work together.

**Paragraph 3** (The configuration angle):
We only build this specific combination once a year. Each product was selected for [seasonal reason]. After [date], the products return to individual pricing and this exact bundle won't be available until next [season].

### Section 3: Tier Comparison

Same structure as Template 1, but include:
- Seasonal-specific product names ("Summer SPF Duo" not just "SPF Bundle")
- Urgency element in the comparison itself ("Available through [date]")
- Limited-edition or seasonal-exclusive items highlighted with a "Seasonal Exclusive" badge

| | [Season] Essentials | [Season] Complete | [Season] Deluxe |
|---|---|---|---|
| [Seasonal core products] | Included | Included | Included |
| [Seasonal enhancement products] | - | Included | Included |
| [Limited-edition/exclusive item] | - | - | Included |
| [Gift packaging/presentation] | Standard | Premium box | Premium box + card |
| **Price** | **$[price]** | **$[price]** | **$[price]** |
| **Available through** | **[date]** | **[date]** | **[date]** |

### Worked Example: Holiday Gift Set (Candle   Home Fragrance Brand)

| | Stocking Stuffer | The Perfect Gift | Holiday Luxury |
|---|---|---|---|
| Holiday Signature Candle (8oz) | Included | Included | Included |
| Winter Spice Room Spray | Included | Included | Included |
| Fireside Collection Wax Melts (6-pack) | - | Included | Included |
| Limited Edition: Midnight Snow Candle (12oz) | - | - | Included |
| Satin gift box with ribbon | - | Included | Included |
| Handwritten gift card | - | - | Included |
| **Your Price** | **$39** | **$69** | **$109** |
| **If bought separately** | **$52** | **$98** | **$163** |
| **You save** | **$13** | **$29** | **$54** |
| **Available through** | **Dec 15** | **Dec 15** | **Dec 15** |

### Urgency Framing for Seasonal Bundles (Not Fake Scarcity)

The key difference between seasonal urgency and fake scarcity: seasonal urgency is *structural*. The bundle genuinely goes away because the season ends, the limited-edition product sells out, or the holiday passes. This is not a countdown timer that resets on refresh.

**Three legitimate urgency frameworks for seasonal bundles:**

**1. Configuration urgency** (strongest):
"This exact combination of products is only available through [date]. After that, each product returns to individual pricing. We build this specific bundle once per [season/year]."

This works because the urgency is about the *configuration*, not artificial stock limits. The customer can buy individual products anytime - but this specific bundle at this specific price is genuinely time-limited.

**2. Limited-edition urgency** (strong):
"The [Limited Edition Product] in the Deluxe tier is a one-time production run. We made [X] units. When they're gone, this tier goes away."

Only use this when you actually have a limited-edition item with a real production count. Update the remaining count in real time from your inventory system.

**3. Calendar urgency** (moderate):
"Holiday shipping cutoff: Order by [date] to guarantee delivery before [holiday]. After that, standard shipping may not arrive in time."

This is the weakest urgency because it doesn't create scarcity - it creates a deadline. But for gift buyers, the delivery deadline is real and motivating.

### Calendar-Based Offer Strategy

Plan your seasonal bundles 4-6 weeks before each event. Here's the annual calendar for maximum impact:

| Season/Event | Bundle Launch | Bundle End | Key Angle |
|-------------|-------------|-----------|-----------|
| Valentine's Day | Jan 15 | Feb 13 | Gift sets, "for them" bundles |
| Mother's/Father's Day | 4 weeks before | Day before | "Complete gift" positioning, premium packaging |
| Summer | May 15 | Aug 31 | Seasonal essentials, travel kits |
| Back to School | Jul 15 | Sep 15 | Starter kits, preparation bundles |
| Halloween/Fall | Sep 15 | Oct 30 | Themed collections, seasonal scents/flavors |
| Black Friday/Cyber Monday | Nov 1 (teaser) / Nov 25 (live) | Nov 30 | Deepest discounts, biggest bundles, annual best offer |
| Holiday/Christmas | Nov 15 | Dec 15 (shipping cutoff) | Gift sets, luxury tiers, presentation packaging |
| New Year | Dec 26 | Jan 15 | "Fresh start" bundles, resolution kits |

**BFCM note**: Black Friday bundles should be your most aggressive offer of the year. This is the one time customers expect deep discounts, so your anchor ratio can go to 2.0-2.5x without triggering suspicion. Build BFCM-specific offer pages 4 weeks in advance and test them with small paid traffic before the event.

### Sections 4-5, 7-8: Follow same structure as Template 1

**Guarantee adaptation for seasonal bundles**: Since the bundle is time-limited, your guarantee should cover the full return window: "Try it for 30 days. If any product doesn't meet your expectations, return the bundle for a full refund - even after the seasonal offer has ended."

---

## Copy Formula Quick Reference

### Headlines

| Formula | Example |
|---------|---------|
| [Outcome] - Everything in One [Kit] | "Clear Skin in 30 Days - Everything in One Kit" |
| Stop [Pain]. Start [Outcome]. | "Stop Guessing. Start Glowing." |
| The [Audience] [Kit/System] | "The New Pet Parent Kit" |
| [Number] Products. [Number] [Timeframe]. $[Price]. | "5 Products. 60 Days. $79." |

### CTAs

| Placement | Formula | Example |
|-----------|---------|---------|
| Hero | Choose Your [Kit] | "Choose Your Kit - Starting at $49" |
| Mid-page | Get the [Target Tier] | "Get the Complete Kit - $79" |
| Final | Start [Outcome] Today | "Start Your Routine Today - $79" |

### Urgency Lines

| Type | Formula | Example |
|------|---------|---------|
| Launch | Launch pricing ends [date] | "Launch pricing ends March 15" |
| Seasonal | Available through [date] | "Summer Kit available through August 31" |
| Bonus | Free [item] with [tier] this [week/month] | "Free travel bag with every Complete Kit this month" |


# Shopify Cart Integration Guide

**Standalone Value**: $57
**Purpose**: Step-by-step setup for all three cart integration patterns from Module 5. Covers Shopify-native bundles, discount code bundles, and landing page redirects.

---

## Which Pattern Should You Use?

| Pattern | Best For | Setup Time | Complexity |
|---------|----------|------------|------------|
| Pattern 1: Direct Add-to-Cart | Brands using bundle apps (recommended) | 2-4 hours | Medium |
| Pattern 2: Discount Code Bundle | Quick setup without apps | 1-2 hours | Low |
| Pattern 3: Landing Page to Cart | Maximum page control | 4-8 hours | High |

**Recommendation**: Start with Pattern 1 if you have a Shopify Plus plan or use a bundle app. Use Pattern 2 for a quick first test. Use Pattern 3 only if you need full control over the page experience.

### How to Choose: Decision Logic

Don't overthink this. Answer these three questions:

**Q1: Do you have a Shopify bundle app installed (or Shopify Plus)?**
- Yes -  **Pattern 1** (Direct Add-to-Cart). This is the cleanest customer experience. One click, one cart line item, correct bundle price. Stop here unless you have a specific reason to use another pattern.
- No -  Go to Q2.

**Q2: Do you need to launch this week with minimal setup?**
- Yes -  **Pattern 2** (Discount Code). Set up in 1-2 hours. Individual products appear in cart with an auto-applied discount. Not as clean visually, but functional and fast. Good for a first test before investing in a bundle app.
- No -  Go to Q3.

**Q3: Do you need full control over the page (custom domain, non-Shopify page builder, A/B testing tool)?**
- Yes -  **Pattern 3** (Landing Page to Cart). The offer page lives outside Shopify (Unbounce, Webflow, custom HTML). CTA buttons redirect to a pre-populated Shopify cart. Maximum control, maximum setup time. Only use this when Pattern 1 or 2 physically can't do what you need.

**Migration path**: Most brands start with Pattern 2, validate the bundle concept works, then upgrade to Pattern 1 when they install a bundle app. Pattern 3 is for brands spending $50K+/month on paid traffic who need pixel-level page control for CRO testing.

---

## Pattern 1: Direct Add-to-Cart (Bundle Apps)

### Supported Apps

- **Shopify Bundles** (native, free on all plans)
- **Bold Bundles** ($19.99/mo)
- **PickyStory** ($49.50/mo)
- **Bundler** (free tier available)

### Setup Steps

**Step 1: Create Bundle Products**

For each tier (Starter/Complete/Pro), create a bundle product:

1. In Shopify Admin, go to Products   Bundles (if using native Bundles) or your bundle app
2. Create new bundle:
   - Title: "[Bundle Name] - [Tier Name]" (e.g., "Skincare Routine - Complete Kit")
   - Include all component products for that tier
   - Set bundle price (from your tier pricing in Module 3)
   - Upload a bundle-specific product image
3. Repeat for each tier (3 bundle products total)

**Step 2: Build the Offer Page**

Option A: Use Shopify's built-in page builder
1. Go to Online Store   Pages   Add page
2. Build the 8-section structure from Module 5
3. For CTA buttons, link directly to the bundle product variant's add-to-cart URL

Option B: Use a page builder app (Shogun, PageFly, GemPages)
1. Create new landing page
2. Build the 8-section structure
3. Use the app's "Add to Cart" button component pointing to bundle product IDs

**Step 3: Configure Add-to-Cart URLs**

Direct add-to-cart URL format:
```
https://yourstore.com/cart/add?id=[VARIANT_ID] quantity=1
```

To find variant IDs:
1. Go to Products   [Bundle Product]
2. Click the variant
3. The variant ID is in the URL: `/variants/[ID]`

For each tier CTA button, set the link to the corresponding add-to-cart URL.

**Step 4: Test the Flow**

- [ ] Click each tier's CTA button
- [ ] Verify correct products appear in cart
- [ ] Verify bundle price (not individual product prices)
- [ ] Verify inventory decrements correctly
- [ ] Test on mobile (button alignment, cart drawer behavior)

### Troubleshooting

| Issue | Cause | Fix |
|-------|-------|-----|
| Cart shows individual products instead of bundle | Bundle app not handling cart display | Check bundle app settings for "display as single line item" |
| Price in cart doesn't match offer page | Variant price mismatch | Update the bundle variant price to match your tier pricing |
| "Out of stock" on bundle page | One component is out of stock | Check inventory for all component products |
| Cart drawer doesn't open after add | Theme JS conflict | Test with a different theme or check bundle app's cart integration settings |

---

## Pattern 2: Discount Code Bundle

### How It Works

Each tier has a pre-generated discount code that applies automatically when the customer adds the right combination of products.

### Setup Steps

**Step 1: Create Discount Codes**

In Shopify Admin   Discounts   Create discount:

For each tier:
1. Discount type: "Amount off order"
2. Discount value: [Individual total - tier price]
3. Minimum requirements: Minimum purchase amount = [slightly below individual total]
4. Customer eligibility: Everyone
5. Discount code: "[BUNDLE-TIER]" (e.g., "SKINCARE-COMPLETE")

Alternative: Use automatic discounts (no code needed)
1. Discount type: Automatic discount
2. Conditions: When cart contains specific products from your bundle
3. This removes the need for customers to enter a code

**Step 2: Build the Offer Page**

1. Create the offer page with the 8-section structure
2. For CTA buttons, create links that add all tier products to cart AND apply the discount:

Multi-add URL format:
```
https://yourstore.com/cart/add?items[][id]=[VARIANT_1_ID] items[][quantity]=1 items[][id]=[VARIANT_2_ID] items[][quantity]=1 discount=[CODE]
```

**Step 3: Test the Flow**

- [ ] Click each tier's CTA
- [ ] Verify all products from that tier appear in cart
- [ ] Verify discount code is applied automatically
- [ ] Verify final price matches your tier pricing
- [ ] Test removing one item (discount should deactivate)

### Troubleshooting

| Issue | Cause | Fix |
|-------|-------|-----|
| Discount doesn't apply | URL format incorrect | Double-check variant IDs and discount code spelling |
| Customer removes one product, keeps discount | Discount conditions too loose | Set minimum item requirements to match exact bundle products |
| Multiple discounts stacking | Shopify allows one discount at a time | Ensure discount settings disallow combination with other discounts |

---

## Pattern 3: Landing Page to Custom Cart

### How It Works

The offer page is a standalone page (can be on a different domain or subdomain) that redirects to a pre-populated Shopify cart.

### Setup Steps

**Step 1: Build the Landing Page**

Use any page builder (Unbounce, Instapage, Webflow, or Shopify page builder):
1. Build the full 8-section offer page
2. CTA buttons will link to Shopify cart URLs

**Step 2: Create Cart Permalink URLs**

Shopify cart permalink format:
```
https://yourstore.com/cart/[VARIANT_1_ID]:[QTY],[VARIANT_2_ID]:[QTY]?discount=[CODE]
```

Example for a 3-product Complete tier:
```
https://yourstore.com/cart/12345678:1,23456789:1,34567890:1?discount=COMPLETE20
```

**Step 3: Set Up Redirect Tracking**

Add UTM parameters to track which tier and which page drove the cart visit:
```
https://yourstore.com/cart/12345678:1,23456789:1?discount=COMPLETE20 utm_source=offer-page utm_medium=cta utm_campaign=skincare-bundle utm_content=complete-tier
```

**Step 4: Test the Flow**

- [ ] Click each tier's CTA
- [ ] Verify redirect to Shopify cart with correct products
- [ ] Verify discount is pre-applied
- [ ] Verify UTM parameters carry through to checkout
- [ ] Test on mobile (redirect speed, cart display)
- [ ] Test with items already in cart (products should add, not replace)

### Troubleshooting

| Issue | Cause | Fix |
|-------|-------|-----|
| Cart permalink gives 404 | Variant ID incorrect | Re-check variant IDs in product admin |
| Discount doesn't apply via URL | Discount requires manual entry | Enable "customers can use this discount at checkout" in discount settings |
| Page load time is slow (redirect delay) | Landing page on different domain | Optimize landing page speed; consider using Shopify page builder instead |

---

## Mobile-Specific Setup

Regardless of which pattern you use:

### Sticky Add-to-Cart Bar

1. Add a fixed-position bar at the bottom of mobile viewport
2. Shows after user scrolls past the first CTA
3. Contains: Tier selector dropdown + price + "Add to Cart" button
4. Shopify themes with this built in: Dawn, Impulse, Prestige

### Mobile Tier Display

Don't use horizontal comparison tables on mobile. Instead:
- Stack tiers vertically (Starter first, Complete second with highlight, Pro third)
- Or use a swipeable carousel
- Each tier card should show: tier name, key products, price, CTA button

### Testing Checklist

- [ ] Offer page loads in under 3 seconds on 4G
- [ ] All CTA buttons are thumb-reachable
- [ ] Tier comparison is readable without horizontal scrolling
- [ ] Cart integration works on iOS Safari and Chrome Android
- [ ] Sticky bar appears and functions correctly
- [ ] Discount applies correctly on mobile checkout


# Shopify Offer Page Implementation Guide

**Standalone Value**: $67
**Purpose**: End-to-end guide for building and launching your offer page on Shopify. Covers theme setup, bundle product creation, page building, tracking, and the 5 most common launch failures.

---

## Before You Start: Pre-Launch Checklist

Complete these before building anything:

- [ ] Bundle compositions defined (Modules 2-3 completed)
- [ ] Tier pricing finalized with decoy score validated (above 2.0)
- [ ] All component products live in Shopify with correct inventory
- [ ] Product images shot/sourced for bundle presentation (not just individual SKU photos)
- [ ] Offer page copy written using the Offer Page Copy Templates (Bonus 3)
- [ ] Cart integration pattern selected (see Shopify Cart Integration Guide for the decision logic)

---

## Step 1: Create Bundle Products in Shopify

### Option A: Shopify Native Bundles (Free, All Plans)

1. Go to **Products   Bundles** in Shopify Admin
2. Click **Create bundle**
3. Select component products for your first tier (e.g., Starter)
4. Set the bundle price (from your tier pricing formula)
5. Upload a bundle-specific hero image (all products arranged together)
6. Set the product title: "[Bundle Name] - [Tier Name]" (e.g., "Survival Kit - Complete")
7. In the description, add tier-specific copy from your offer page templates
8. Repeat for each tier (3 bundle products total)

**Inventory behavior**: Shopify native bundles automatically decrement each component's inventory when the bundle sells. No manual sync needed.

### Option B: Third-Party Bundle App

If you need features beyond native bundles (mix-and-match, quantity breaks, automatic discounts):

1. Install your chosen app (Bold Bundles, Rebundle, or PickyStory - see comparison in the Cart Integration Guide)
2. Create bundle products following the app's workflow
3. Configure inventory sync (verify each component SKU decrements correctly)
4. Test a purchase through checkout to confirm bundle price, inventory, and fulfillment display

### Common Setup Mistakes

| Mistake | Consequence | Prevention |
|---------|-------------|-----------|
| Bundle visible in main collection | Customers find bundle at discounted price without seeing offer page context | Set bundle product to "Not included in any collection" or create a hidden collection |
| Component inventory not synced | Bundle sells but component stock doesn't update - overselling risk | Run 3 test purchases and verify each component's inventory decrements |
| Bundle image is just the hero product | Customers think they're buying one product at a higher price | Shoot or composite an image showing ALL tier products together |
| No product description on bundle | If customer finds bundle directly, no context for the price | Add condensed version of tier value proposition as product description |

---

## Step 2: Build the Offer Page

### Option 1: Shopify Custom Page Template (Recommended)

Best for most brands. Full control within your existing theme.

**In your Shopify theme editor**:

1. Go to **Online Store   Themes   Customize**
2. Create a new page template: **Templates   Add template   Page**
3. Name it "offer-page" (this creates the `page.offer-page.json` template)
4. Build sections matching the 8-section structure from Module 5:

| Section | Shopify Section Type | Notes |
|---------|---------------------|-------|
| Hero | Custom HTML or Rich text | Use custom HTML for full control over headline, image, CTA layout |
| Problem | Rich text | Standard text formatting works here |
| Tier Comparison | Custom HTML | Tables need HTML - Shopify's rich text doesn't support complex tables well |
| Value Stack | Rich text + Custom HTML | Hybrid: text for copy, HTML for the pricing breakdown table |
| Social Proof | Testimonials section (if theme includes) or Custom HTML | Many themes have a testimonial section built in |
| Urgency | Announcement bar or Custom HTML | Keep it simple - one line |
| Guarantee | Rich text with icon | Badge/icon + guarantee text |
| Final CTA | Custom HTML | Tier buttons linking to add-to-cart URLs |

5. Go to **Pages   Add page**
6. Set the page template to "offer-page"
7. URL: `/pages/[your-offer-name]` (e.g., `/pages/survival-kit-offer`)

### Option 2: Page Builder App

If your theme's customization is limited:

| App | Monthly Cost | Learning Curve | Template Library |
|-----|-------------|---------------|-----------------|
| Shogun | $39-149/mo | Medium | Yes - includes landing page templates |
| PageFly | $24-99/mo | Low | Yes - drag-and-drop |
| GemPages | $29-199/mo | Low | Yes - conversion-focused templates |

**Setup**: Install app   Create new landing page   Build 8 sections using drag-and-drop   Connect CTA buttons to bundle product add-to-cart URLs.

### Option 3: Standalone Page (For $20K+/mo Ad Spend)

When you need full page speed and A/B testing control:

1. Build the offer page on a subdomain (e.g., `offers.yourbrand.com`) using Webflow, Unbounce, or custom HTML
2. CTA buttons use Shopify cart permalink URLs (see Pattern 3 in Cart Integration Guide)
3. Configure cross-domain tracking in GA4 to connect offer page visits to Shopify purchases

**Important**: Cross-domain tracking adds complexity. Only use this option when you need capabilities that Shopify can't provide (sub-200ms page loads, advanced A/B testing, custom interactive elements).

---

## Step 3: Implement Tier Selection JavaScript

For offer pages with interactive tier selection (user clicks a tier card and the page updates), add this behavior:

**What needs to happen when a customer selects a tier**:

1. Selected tier card gets visual emphasis (highlighted border, elevated shadow)
2. All CTA buttons on the page update to the selected tier's add-to-cart URL
3. Sticky bottom bar (mobile) updates with selected tier's price and CTA
4. Value stack updates to show the selected tier's product list and savings
5. Confirmation toast appears: "Great choice! [Tier Name] is our most popular."

**Implementation approach**:

Use data attributes on your tier cards and a single event listener:

```
Each tier card: data-tier="starter" / data-tier="complete" / data-tier="pro"
Each CTA button: data-tier-cta (updates href based on selected tier)
Sticky bar: data-tier-price + data-tier-cta (updates on selection)
```

When a tier is clicked:
- Remove `.selected` class from all tier cards
- Add `.selected` to the clicked card
- Update all `[data-tier-cta]` elements with the selected tier's add-to-cart URL
- Update `[data-tier-price]` elements with the selected tier's price
- Trigger the confirmation toast (3-second auto-dismiss)

**Default state**: Complete tier has `.selected` class on page load.

---

## Step 4: Set Up Tracking

### GA4 Event Tracking

Track these events on your offer page:

| Event | When It Fires | Parameters |
|-------|--------------|-----------|
| `offer_page_view` | Page load | `page_title`, `offer_name` |
| `tier_select` | Customer clicks a tier | `tier_name`, `tier_price` |
| `offer_add_to_cart` | Customer clicks any CTA | `tier_name`, `tier_price`, `product_ids` |
| `offer_purchase` | Order completes (from offer page traffic) | `tier_name`, `order_value`, `items_count` |

### UTM Structure for Paid Traffic

When running ads to your offer page, use this UTM structure:

```
?utm_source=[platform] utm_medium=cpc utm_campaign=[offer-name] utm_content=[ad-variant]
```

Example:
```
?utm_source=google utm_medium=cpc utm_campaign=survival-kit-offer utm_content=problem-aware-v2
```

### Tier Attribution

To know which tier each purchase came from:

**Pattern 1 (Bundle app)**: Each tier is a different product. Shopify's orders export shows which bundle product was purchased.

**Pattern 2 (Discount code)**: Each tier uses a different discount code (e.g., STARTER15, COMPLETE25, PRO30). Filter orders by discount code.

**Pattern 3 (Cart permalink)**: Add a tier identifier to the UTM content parameter: `utm_content=complete-tier`.

---

## Step 5: Pre-Launch Testing Protocol

Run these tests BEFORE sending any paid traffic:

### Functional Tests

- [ ] **Desktop**: Click each tier's CTA. Verify correct products + price in cart.
- [ ] **Mobile (iOS Safari)**: Same test. Verify sticky bar works.
- [ ] **Mobile (Chrome Android)**: Same test. Verify touch interactions.
- [ ] **Empty cart**: Add a tier. Verify cart displays bundle correctly.
- [ ] **Existing cart items**: Add a tier with items already in cart. Verify no conflicts.
- [ ] **Checkout flow**: Complete a test purchase through Shopify's test mode. Verify order shows correct products, pricing, and inventory deduction.

### Visual Tests

- [ ] **Hero image**: Loads properly on mobile (compressed, no layout shift)
- [ ] **Tier comparison**: Readable on mobile (stacked cards, not horizontal table)
- [ ] **Sticky CTA bar**: Appears after scrolling past first CTA on mobile
- [ ] **Default selection**: Complete tier is pre-selected on fresh page load
- [ ] **"Most Popular" badge**: Visible and correctly positioned on Complete tier

### Speed Tests

- [ ] **PageSpeed Insights**: Score 70+ on mobile
- [ ] **Load time**: Under 3 seconds on 4G connection
- [ ] **Largest Contentful Paint**: Under 2.5 seconds
- [ ] **No render-blocking resources**: JS and CSS deferred where possible

---

## The 5 Most Common Launch Failures

These are the failures we see in the first week of every offer page launch. Catching them early saves thousands in wasted ad spend.

### Failure 1: Bundle Appears in Site Search and Collections

**Symptom**: Customers find the bundle product through your site's search bar or collection pages at the discounted price, without seeing the offer page context. No value stacking, no tier comparison, no psychological framing.

**Fix**: Set bundle products to "Not included in any collection." Remove from site search by adding the `noindex` tag to the bundle product page (or use a Shopify app that hides products from search). The ONLY path to the bundle should be through your offer page.

### Failure 2: Discount Codes Stack With Other Promotions

**Symptom**: Customer uses your tier discount code AND a welcome/newsletter discount code. Margin destroyed.

**Fix**: In Shopify Discount settings, ensure "Can't be combined with other discounts" is enabled for all tier-specific discount codes. Test by attempting to apply two codes at checkout.

### Failure 3: Inventory Desync on Components

**Symptom**: Bundle sells but one component goes out of stock without the bundle being marked "out of stock." Customer orders, you can't fulfill.

**Fix**: After setup, place 3 test orders. Verify each component's inventory decrements by the correct amount. Set up a Shopify Flow (or manual process) to pause the bundle product when any component drops below your safety stock threshold.

### Failure 4: Mobile Tier Table Is Unreadable

**Symptom**: The comparison table renders as a squished horizontal layout on mobile. Customers can't compare tiers. They bounce.

**Fix**: CSS media query at 768px switches from horizontal table to stacked cards. Each card shows: tier name, key products (3-5 bullet points), price, savings, CTA button. The Complete tier card should be visually elevated (larger, highlighted border).

### Failure 5: No Post-Purchase Tier Tracking

**Symptom**: The offer page is live and generating revenue, but you can't tell which tier customers are choosing. You can't optimize tier distribution because you don't have the data.

**Fix**: Implement tier-level tracking before launch (see Step 4). At minimum, use different discount codes per tier so you can pull a Shopify report filtered by discount code. Review tier distribution weekly - target 60-70% Complete tier.

---

## Post-Launch: First 14 Days

### Day 1-3: Validation
- Confirm tracking is firing correctly (check GA4 real-time reports)
- Verify 3-5 real orders processed correctly (fulfillment, inventory, pricing)
- Check mobile conversion rate vs desktop (should be within 30% of each other)

### Day 4-7: Initial Read
- Pull tier distribution (% Starter / % Complete / % Pro)
- Compare offer page conversion rate to your product page baseline
- Check AOV lift vs baseline
- Identify any drop-off points (high cart abandonment = pricing or checkout friction)

### Day 8-14: First Optimization
- If Complete tier   55%: Check decoy score, adjust Starter price upward or add value to Complete
- If Complete tier   75%: Pro tier may be priced too high or Starter too unattractive - test adding value to Pro
- If conversion rate is below product page baseline: Problem section may not resonate - test different pain angles
- If AOV lift   15%: Tier pricing gaps may be too narrow - test wider gaps

### Ongoing: Weekly Review
- Pull tier distribution, AOV, conversion rate, and revenue per visitor weekly
- Log all changes in the Performance Tracking Dashboard (Bonus 5)
- Run one A/B test per 2-week cycle (follow the 3-Layer Testing Protocol from Module 5)


# 3 Page Structure Templates

**Standalone Value**: $97
**Purpose**: Three ready-to-use page structure blueprints for the most common offer page formats. Each template includes section-by-section copy formulas, word count targets, worked examples, and mobile-specific adaptations.

---

## Which Template Should You Use?

| Template | Best For | Complexity | Typical AOV Lift |
|----------|----------|-----------|-----------------|
| **Single-Product Offer** | One hero product, no natural bundles, strong margins | Low | 15-25% (variant upsell) |
| **Three-Tier Bundle** | Hero product + complementary products forming natural tiers | Medium | 28-47% (tier architecture) |
| **Quiz-to-Offer** | Multiple customer segments needing guided recommendations | High | 35-55% (personalized routing) |

---

## Template 1: Single-Product Offer Page

**Use when**: You have one hero product (not a bundle) and want to maximize conversion from paid traffic. The page replaces the standard product page for ad-driven visitors.

**9-section structure**: Hero → Problem Agitation → Product Mechanism → Variant Selector → Value Stack → Social Proof → Comparison to Alternatives → FAQ → Final CTA

**Target page length**: 700-1,100 words

**Key features**:
- Variant selector with per-unit savings to encourage multi-buy
- Comparison table pre-empting the "let me check Amazon" instinct
- Value stack ratio of 1.3-1.8x (conservative for single products)
- Worked example: CloudRest Weighted Blanket ($129)

**When to switch**: Move to the Three-Tier Bundle template when co-purchase data shows 25%+ affinity with other products.

---

## Template 2: Three-Tier Bundle Offer Page

**Use when**: You have a hero product with complementary products that form natural tiers. This is the core B.O.L.T. System page structure.

**8-section structure**: Hero → Problem Agitation → Tier Comparison → Value Stack (8-step psychological sequence) → Social Proof → Urgency → Guarantee → Final CTA

**Target page length**: 600-1,000 words + tables

**Key features**:
- Complete tier pre-selected on page load with "Most Popular" badge
- Decoy validation formula built into the tier pricing
- 8-step psychological value stack sequence (emotion first, logic second)
- Behavioral checklist (10 items) for pre-launch validation
- Cart integration for all 3 patterns (bundle app, discount code, landing page redirect)
- Worked example: DTC Supplement Gut Health Kit ($49/$89/$149)

**Critical section**: Tier Comparison table — this is where "Should I buy?" becomes "Which tier fits me?"

---

## Template 3: Quiz-to-Offer Page

**Use when**: Your catalog serves multiple customer segments and you need to route visitors to the right bundle. The quiz replaces the "Which one is right for me?" decision with a guided recommendation.

**Two-phase structure**:
- **Phase 1 (Quiz)**: Entry → 3-5 Questions → Personalized Results
- **Phase 2 (Offer Page)**: Personalized Problem Agitation → Recommended Tier → Value Stack → Social Proof → Guarantee → Final CTA

**Target page length**: Quiz (150-200 words) + Offer page (700-1,000 words)

**Key features**:
- 4-question scoring model routing 60-70% to Complete tier
- Segment-based routing for catalogs with 3+ bundle families
- Email capture between quiz completion and results (40-50% capture rate)
- Personalized copy using quiz answers ("Since you mentioned [their answer]...")
- No-code tool comparison (Octane AI, Typeform, Jebbit, Landingi)
- Worked example: DTC Skincare Brand with 12 SKUs (quiz → 9 possible recommendations)

**When to choose this**: If 40%+ of support tickets ask "which one should I get?" — the quiz answers that question at scale.

---

## Implementation Priority

**Start here**: Most brands should start with the **Three-Tier Bundle** template. It's the core B.O.L.T. System format and delivers the highest ROI for the effort.

**Add later**: Once your bundle page is converting, test the **Quiz-to-Offer** format on your highest-traffic ad groups to see if personalized routing lifts conversion further.

**Use for exceptions**: The **Single-Product Offer** template works best for new products you're testing before building bundle architecture around them.

---

## How to Use These Templates

1. Choose the template that matches your catalog structure
2. Fill in each section with your product specifics following the copy formulas
3. Run the Behavioral Checklist before launch
4. Connect cart integration using the Shopify Cart Integration Guide (Bonus 4)
5. Measure results using the Offer Performance Tracking Dashboard (Bonus 7)


# Offer Performance Tracking Dashboard

**Standalone Value**: $27
**Purpose**: Build-it-yourself framework for monitoring bundle performance in Google Sheets.

**What this is**: This is a build-it-yourself framework. Follow these instructions to create your dashboard in Google Sheets in about 20 minutes. You'll set up the tabs, formulas, and conditional formatting from the specifications below. No pre-built template to download - you're building it so you understand every metric and can customize it for your business.

---

## The 6 Metrics That Matter

Before diving into the tabs, here are the six numbers you should check every week. Everything else in this dashboard exists to help you diagnose and improve these:

| Metric | What It Measures | Target | Why It Matters |
|--------|-----------------|--------|----------------|
| **AOV lift vs baseline** | Offer page AOV divided by your pre-launch site-wide AOV | 28-47% lift | The primary success metric. If this number isn't moving, something in your tier structure or page architecture needs adjustment. |
| **Tier distribution %** | Percentage of buyers choosing Starter / Complete / Pro | 20% / 60% / 20% | Tells you whether your pricing psychology is working. If Complete is below 55%, your decoy isn't functioning. If Starter is above 35%, the price gap feels too large. |
| **CPA reduction** | Cost per acquisition on offer page traffic vs standard product page traffic | 20-34% lower | Higher conversion rates on offer pages mean your ad spend goes further. Track this weekly against the same traffic source to isolate the page effect from audience effects. |
| **Bundle attach rate** | Percentage of total orders that come through offer pages vs standard product pages | Increasing weekly | Shows adoption momentum. As you drive more traffic to offer pages, this should climb. Target: 50%+ of paid traffic orders through offer pages within 60 days. |
| **LTV comparison** | 90-day customer value for bundle buyers vs single-product buyers | Bundle buyers 30-41% higher | The long-term payoff. Bundle buyers are invested in a system, not a single product. They repurchase at higher rates and higher values. |
| **Blended margin** | Weighted average gross margin across all tiers | Within 5 points of single-product margin | Ensures you're not buying AOV with margin. If blended margin drops more than 5 points below your single-product margin, your discounts are too aggressive. |

Check these six numbers every Monday. If all six are on target, your system is working. If any are off, the detailed tabs below will help you diagnose the issue.

## Dashboard Structure

This dashboard has 5 tabs. Set up each one in order.

---

## Tab 1: Daily Metrics

Track daily performance of each offer page.

| Date | Offer Page | Sessions | Add-to-Cart | Orders | Conversion Rate | Revenue | AOV | Starter Orders | Complete Orders | Pro Orders |
|------|-----------|----------|-------------|--------|----------------|---------|-----|---------------|----------------|------------|
| [date] | [page name] | | | | =Orders/Sessions | | =Revenue/Orders | | | |

**Formulas to set up:**
- Conversion Rate: `=E2/C2` (format as %)
- AOV: `=G2/E2` (format as currency)
- Tier Distribution: `=I2/E2`, `=J2/E2`, `=K2/E2` (add these in separate columns, format as %)

**Where to pull data:**
- Sessions + Conversion: GA4   Reports   Pages and screens   Filter to offer page URL
- Orders + Revenue: Shopify Admin   Analytics   Reports   Sales by landing page
- Tier breakdown: Shopify Admin   Products   Filter by bundle product names   Export order data

**Update frequency**: Daily for first 2 weeks after launch. Weekly after optimization period.

---

## Tab 2: Tier Distribution Monitor

Track the percentage of buyers choosing each tier over time.

| Week | Starter % | Complete % | Pro % | Notes |
|------|-----------|------------|-------|-------|
| Week 1 | | | | Launch week |
| Week 2 | | | | |
| Week 3 | | | | |

**Target distribution:**
- Starter: 20-25%
- Complete: 55-65%
- Pro: 15-20%

**If Complete is below 55%:**
- Check price gap between Starter and Complete (may need to narrow)
- Verify "Most Popular" badge is visible
- Review Complete tier value proposition (enough differentiation from Starter?)

**If Complete is above 70%:**
- Pro tier may be priced too high (anchor is too extreme)
- Or Starter is priced too close to Complete (no reason to choose Starter)
- Consider adjusting Pro price down 10-15%

**If Starter is above 35%:**
- Gap between Starter and Complete feels too large
- Add perceived value to Complete without changing price
- Consider narrowing the price gap

---

## Tab 3: AOV Trend Tracking

Compare offer page AOV against site-wide AOV over time.

| Week | Site-Wide AOV | Offer Page AOV | Lift % | Offer Page Revenue | Offer Page Orders | Offer % of Total Revenue |
|------|--------------|---------------|--------|-------------------|------------------|------------------------|
| Baseline (pre-launch) | $ | N/A | N/A | N/A | N/A | N/A |
| Week 1 | $ | $ | =((C-B)/B)*100 | $ | | =E/[total revenue] |
| Week 2 | $ | $ | | $ | | |

**Key metric**: Offer Page AOV Lift %. This is your primary success metric.

**Target**: 28-47% lift over site-wide AOV (based on B.O.L.T. System benchmarks).

**If lift is below 20%:**
- Review tier pricing (may need adjustment)
- Check value stack visibility (is the savings obvious?)
- Audit the offer page copy (is the tier comparison clear?)
- Review Module 3 tier pricing formula

---

## Tab 4: Per-Tier Margin Analysis

Track profitability at the tier level.

| Tier | Bundle Price | Total COGS | Gross Margin $ | Gross Margin % | Orders This Month | Total Margin $ |
|------|-------------|-----------|---------------|---------------|------------------|---------------|
| Starter | $ | $ | =B-C | =D/B | | =D*F |
| Complete | $ | $ | | | | |
| Pro | $ | $ | | | | |
| **Blended** | | | | =SUMPRODUCT(D:D,F:F)/SUM(F:F) | =SUM(F:F) | =SUM(G:G) |

**Margin floor**: No tier below 50% gross margin.

**Blended margin target**: Within 5 percentage points of single-product margin.

**Compare monthly**: If blended margin drops below floor, investigate. Common causes:
- COGS increased (supplier pricing)
- Discount applied incorrectly (double-discount bug)
- Pro tier selling at higher % than expected (lower-margin tier)

---

## Tab 5: Experiment Log

Track pricing and page experiments over time.

| Experiment | Start Date | End Date | Variable | Control | Variant | Metric | Control Result | Variant Result | Winner | Implemented? |
|-----------|-----------|---------|----------|---------|---------|--------|---------------|---------------|--------|-------------|
| | | | | | | | | | | Y/N |

**Experiment ideas to run (in priority order):**

1. **Tier pricing gaps**: Test narrower vs wider gap between Starter and Complete
2. **"Most Popular" badge**: With badge vs without badge on Complete tier
3. **Loss aversion copy**: "Save $26" vs "Buying individually costs $26 more"
4. **Anchor display**: Show Pro tier first vs show Starter first
5. **Per-item cost display**: With per-item breakdown vs without
6. **CTA button text**: "Add to Cart" vs "Get the [Tier Name]" vs "Choose [Tier Name]"
7. **Social proof placement**: Above tier comparison vs below
8. **Guarantee visibility**: Guarantee badge near CTA vs separate section
9. **Cross-out pricing**: Individual prices crossed out vs no cross-out
10. **Tier naming**: Generic names vs outcome-based names

**Experiment rules:**
- Run one experiment at a time per offer page
- Minimum 200 sessions per variant before declaring a winner
- Statistical significance threshold: 95%
- Log every experiment, even losers (learning compounds)

---

## Setup Instructions

### Google Sheets Setup

1. Create a new Google Sheet
2. Create 5 tabs named: "Daily Metrics", "Tier Distribution", "AOV Trend", "Per-Tier Margin", "Experiment Log"
3. Copy the column headers from each tab above
4. Set up the formulas noted in each tab
5. Format currency columns as $ with 2 decimals
6. Format percentage columns as % with 1 decimal
7. Add conditional formatting:
   - Green: Complete tier   55% (Tier Distribution tab)
   - Red: Any tier margin   50% (Per-Tier Margin tab)
   - Green: AOV lift   28% (AOV Trend tab)

### GA4 Connection (Semi-Automated)

For semi-automated data updates:
1. Install the Google Analytics add-on for Google Sheets
2. Create a custom report pulling:
   - Page path (filtered to offer page URL)
   - Sessions
   - Conversions
   - Revenue
3. Schedule weekly auto-refresh

### Weekly Review Routine

Every Monday, spend 15 minutes:
1. Update Daily Metrics for the past week
2. Check Tier Distribution (is Complete at 55-65%?)
3. Check AOV Trend (is lift maintaining or declining?)
4. Review any running experiments
5. Log observations and next actions


# DR Principle Audit Template

**Purpose**: Score your current Demand Gen creative against all 8 DR Principles to identify gaps

---

## Instructions

1. Pull screenshots of your current top 5-10 Demand Gen images
2. Score each image against each of the 8 DR Principles (0-10 scale)
3. Calculate the total score per image and per principle
4. Identify the 3 weakest principles - these are your priority fixes

---

## Scoring Scale

| Score | Description |
|-------|-------------|
| 0 | Principle completely absent |
| 1-3 | Principle attempted but weak/vague |
| 4-6 | Principle present but not optimized |
| 7-8 | Principle well-applied |
| 9-10 | Principle mastered - could be a teaching example |

---

## Detailed Scoring Criteria Per Principle

Use these specific criteria to score each principle accurately. Each principle has 5 sub-criteria worth 2 points each (total 10).

### Principle 1: Specificity (10 points)
| Sub-Criteria | 0 pts | 1 pt | 2 pts |
|-------------|-------|------|-------|
| Contains a number | No numbers anywhere | Rounded/vague number ("thousands") | Exact number ("47,000" or "11 minutes") |
| Includes timeframe | No time reference | Vague ("soon", "fast") | Specific ("in 14 days", "by Friday") |
| Measurable outcome | Abstract benefit | Named benefit without measurement | Quantified result ("40% less redness") |
| Product-specific claim | Generic statement fits any product | Category-specific | Only THIS product could say it |
| Passes falsifiability test | Cannot be proven true/false | Partially verifiable | Fully falsifiable claim |

### Principle 2: Visceral Language (10 points)
| Sub-Criteria | 0 pts | 1 pt | 2 pts |
|-------------|-------|------|-------|
| Sensory words present | No sensory language | 1 weak sensory word | 2+ strong sensory words (temperature, texture, movement, pain) |
| Physical reaction triggered | Reader feels nothing | Mild recognition | Reader physically feels the sensation described |
| Specificity of sensation | Generic ("feels good") | Named sensation ("cool relief") | Time + body + sensation ("2am acid-burn") |
| Contrast/juxtaposition | No contrast | Mild before/after implied | Sharp sensory contrast ("silk against sunburned skin") |
| Avoids abstract language | All abstract | Mix of abstract + sensory | Pure sensory, zero abstractions |

### Principle 3: Tension/Relief (10 points)
| Sub-Criteria | 0 pts | 1 pt | 2 pts |
|-------------|-------|------|-------|
| Problem named | No problem stated | Implied problem | Specific problem named explicitly |
| Resolution hinted | No resolution | Vague hope | Clear path from tension to relief |
| Emotional arc present | Flat tone | Slight shift | Clear emotional progression within the copy |
| Zeigarnik tension | Information complete | Mild curiosity | Strong incomplete loop demanding resolution |
| Balance of tension/relief | All tension (anxiety) or all relief (boring) | Weighted to one side | Balanced - tension creates need, relief shows path |

### Principle 4: Loss Framing (10 points)
| Sub-Criteria | 0 pts | 1 pt | 2 pts |
|-------------|-------|------|-------|
| Loss language used | Only gain-framed | Implied loss | Explicit "you're losing/missing/wasting" |
| Cost quantified | No cost mentioned | Vague cost ("money") | Specific cost ("$47/month", "8 hours/week") |
| Time urgency | No time pressure | Vague urgency | Specific time-based loss ("every month you wait") |
| Competitive comparison | No competitor reference | Implied others have solved it | "Your competitors figured this out 6 months ago" |
| Paired with resolution path | Pure negativity (creates anxiety) | Weak resolution hint | Clear loss + clear path forward |

### Principle 5: Borrowed Authority (10 points)
| Sub-Criteria | 0 pts | 1 pt | 2 pts |
|-------------|-------|------|-------|
| Third-party reference | Self-claims only | Brand credentials | External authority (expert, publication, institution) |
| Authority specificity | "Experts recommend" | Named authority type ("dermatologists") | Named + counted ("200+ dermatologists") |
| Proof visibility | No visual authority | Text-only reference | Visual authority element (badge, logo, photo) |
| Credibility level | Low (self-awarded) | Medium (industry recognition) | High (institutional, expert, media) |
| Relevance of authority | Authority unrelated to product | Tangentially related | Directly relevant to the claim being made |

### Principle 6: Proof Integration (10 points)
| Sub-Criteria | 0 pts | 1 pt | 2 pts |
|-------------|-------|------|-------|
| Claims backed by evidence | Unsubstantiated claims | Partial evidence | Every claim has proof within 2 visual beats |
| Proof type strength | No proof | Volume/time proof | Transformation proof (before/after with metrics) |
| Proof specificity | Vague ("results may vary") | General ("customers love it") | Specific ("11,400 of 12,000 report better sleep") |
| Visual proof elements | No visual evidence | Text-only proof | Visual proof (before/after photos, charts, screenshots) |
| Proof-claim proximity | Proof separated from claim | Same ad set | Same image or immediately adjacent image |

### Principle 7: One Clear Action (10 points)
| Sub-Criteria | 0 pts | 1 pt | 2 pts |
|-------------|-------|------|-------|
| Single CTA present | No CTA | Multiple competing CTAs | Exactly one clear CTA |
| CTA matches temperature | CTA mismatched (e.g., "Buy Now" to cold) | Partially appropriate | Perfect temperature match |
| Action clarity | Unclear what to do | General direction ("Learn More") | Specific action ("See the 14-Day Results") |
| CTA consistency | Different CTAs across image set | Mostly consistent | Same CTA reinforced across all images |
| Cognitive load | Viewer has to think about what to do | Mild decision needed | Zero-friction, obvious next step |

### Principle 8: Continuation (10 points)
| Sub-Criteria | 0 pts | 1 pt | 2 pts |
|-------------|-------|------|-------|
| Incomplete loop created | Complete information, no reason to click | Mild curiosity | Strong Zeigarnik effect - brain can't let go |
| Narrative momentum | Static, no progression | Slight forward pull | Each image makes the next feel necessary |
| Information withholding | All information given | Minor detail withheld | Key resolution requires clicking |
| Curiosity technique used | None | Basic ("learn more") | Advanced (numbered reveal, partial transformation, social curiosity) |
| Click necessity | Viewer satisfied without clicking | Might click | Must click to resolve the tension |

---

## Principle Validation Criteria (Reference)

Use this reference while scoring. Each principle has a specific validation test.

| # | Principle | What to Look For | Fail Signal |
|---|-----------|-----------------|-------------|
| 1 | **Specificity** | Contains a specific number, timeframe, or measurable claim. "Fall asleep in 11 minutes" not "Better sleep." | No numbers, no timeframes, no measurable outcomes |
| 2 | **Visceral Language** | Words that create a physical or sensory reaction. Temperature, texture, movement, pain/relief words. | Abstract descriptions only ("soothing solution" instead of "ice-cold relief") |
| 3 | **Tension/Relief** | Creates discomfort then hints at resolution. Problem named -  solution suggested. | No problem named, no resolution arc, or all relief with no tension |
| 4 | **Loss Framing** | Frames what the viewer is losing, missing, or wasting - not just what they'll gain. At least 30% of overlays should use loss framing. | Only gain-framed copy. "Save $200" instead of "You're losing $200/month" |
| 5 | **Borrowed Authority** | References credible third-party validation: expert endorsements, review counts, media mentions, certifications. | Only brand self-claims with no external validation |
| 6 | **Proof Integration** | Every claim paired with evidence within 2 visual beats. Transformation proof   Volume proof   Process proof   Comparison proof   Time proof. | Claims without supporting evidence, proof without clear claims |
| 7 | **One Clear Action** | Exactly one thing the viewer should do. One CTA, consistent across the set. | Multiple competing CTAs, unclear next step, or no CTA at all |
| 8 | **Continuation** | Creates an incomplete loop that can only be closed by taking action (Zeigarnik effect). Numbered reveals, partial transformations, social curiosity. | No reason to click, complete information that doesn't require action |

---

## Audit Worksheet

### Image 1: ________________ (description)

| Principle | Score (0-10) | Notes |
|-----------|-------------|-------|
| 1. Specificity | /10 | Does it contain specific numbers, timeframes, or measurable claims? |
| 2. Visceral Language | /10 | Does the text create a physical or sensory reaction? (temperature, texture, movement, pain words) |
| 3. Tension/Relief | /10 | Does it create discomfort then hint at resolution? |
| 4. Loss Framing | /10 | Does it frame what the viewer is losing, not just gaining? |
| 5. Borrowed Authority | /10 | Does it reference credible third-party validation? |
| 6. Proof Integration | /10 | Is every claim paired with evidence within 2 visual beats? |
| 7. One Clear Action | /10 | Is there exactly one thing the viewer should do? |
| 8. Continuation | /10 | Does it create an incomplete loop driving the click? (Zeigarnik effect) |
| **TOTAL** | **/80** | |

### Image 2: ________________

| Principle | Score (0-10) | Notes |
|-----------|-------------|-------|
| 1. Specificity | /10 | |
| 2. Visceral Language | /10 | |
| 3. Tension/Relief | /10 | |
| 4. Loss Framing | /10 | |
| 5. Borrowed Authority | /10 | |
| 6. Proof Integration | /10 | |
| 7. One Clear Action | /10 | |
| 8. Continuation | /10 | |
| **TOTAL** | **/80** | |

### Image 3: ________________

| Principle | Score (0-10) | Notes |
|-----------|-------------|-------|
| 1. Specificity | /10 | |
| 2. Visceral Language | /10 | |
| 3. Tension/Relief | /10 | |
| 4. Loss Framing | /10 | |
| 5. Borrowed Authority | /10 | |
| 6. Proof Integration | /10 | |
| 7. One Clear Action | /10 | |
| 8. Continuation | /10 | |
| **TOTAL** | **/80** | |

### Image 4: ________________

| Principle | Score (0-10) | Notes |
|-----------|-------------|-------|
| 1. Specificity | /10 | |
| 2. Visceral Language | /10 | |
| 3. Tension/Relief | /10 | |
| 4. Loss Framing | /10 | |
| 5. Borrowed Authority | /10 | |
| 6. Proof Integration | /10 | |
| 7. One Clear Action | /10 | |
| 8. Continuation | /10 | |
| **TOTAL** | **/80** | |

### Image 5: ________________

| Principle | Score (0-10) | Notes |
|-----------|-------------|-------|
| 1. Specificity | /10 | |
| 2. Visceral Language | /10 | |
| 3. Tension/Relief | /10 | |
| 4. Loss Framing | /10 | |
| 5. Borrowed Authority | /10 | |
| 6. Proof Integration | /10 | |
| 7. One Clear Action | /10 | |
| 8. Continuation | /10 | |
| **TOTAL** | **/80** | |

---

## Summary: Principle Scores Across All Images

| Principle | Img 1 | Img 2 | Img 3 | Img 4 | Img 5 | Average |
|-----------|-------|-------|-------|-------|-------|---------|
| 1. Specificity | | | | | | /10 |
| 2. Visceral Language | | | | | | /10 |
| 3. Tension/Relief | | | | | | /10 |
| 4. Loss Framing | | | | | | /10 |
| 5. Borrowed Authority | | | | | | /10 |
| 6. Proof Integration | | | | | | /10 |
| 7. One Clear Action | | | | | | /10 |
| 8. Continuation | | | | | | /10 |

**3 Weakest Principles (priority fixes)**:
1. ________________ (avg score: ___/10)
2. ________________ (avg score: ___/10)
3. ________________ (avg score: ___/10)

**Overall Score**: ___/80

| Score Range | Assessment | Action |
|-------------|------------|--------|
| 0-20 | Critical - creative needs full rebuild | Start at Module 1, rebuild all images |
| 21-40 | Weak - significant gaps | Focus on 3 weakest principles, rebuild 60% of images |
| 41-55 | Average - room for improvement | Focus on 2 weakest principles, refresh specific images |
| 56-70 | Good - optimize the details | Fine-tune weakest principle, rotate in new angles |
| 71-80 | Excellent - maintain and iterate | Focus on creative refresh protocol to maintain performance |

---

## Example: Completed Audit

**Product**: DTC Skincare Brand
**Image**: Product bottle on white background with "Shop Our Collection" text

| Principle | Score | Notes |
|-----------|-------|-------|
| 1. Specificity | 1/10 | No numbers, no timeframe, no specific claim |
| 2. Visceral Language | 0/10 | Zero sensory words, purely descriptive |
| 3. Tension/Relief | 0/10 | No problem named, no resolution arc |
| 4. Loss Framing | 0/10 | No mention of what viewer is losing |
| 5. Borrowed Authority | 2/10 | Brand name present but not an authority signal |
| 6. Proof Integration | 0/10 | No proof of any claim |
| 7. One Clear Action | 5/10 | "Shop Now" CTA exists but premature for cold audience |
| 8. Continuation | 0/10 | No incomplete loop, no reason to click |
| **TOTAL** | **8/80** | Typical of generic ecommerce creative |

**Diagnosis**: This creative is invisible to scrolling viewers. It has zero emotional hooks, no specificity, and no reason for a stranger to engage. The only functioning element is the CTA, but even that is misaligned (too direct for cold audiences).

---

## Worked Example

**Product**: DTC weighted blanket brand. Auditing their top 5 Demand Gen images. Monthly ad spend: $18K.

### Image 1: "Woman sleeping under weighted blanket with text 'Sleep Better Tonight'"

| Principle | Score | Notes |
|-----------|-------|-------|
| 1. Specificity | 2/10 | No numbers, no timeframe, "better" is unmeasurable. No sub-criteria pass above 0. |
| 2. Visceral Language | 3/10 | "Sleep" is mildly sensory but no temperature, texture, or body sensation words. |
| 3. Tension/Relief | 1/10 | No problem named. Just relief with no preceding tension. Flat. |
| 4. Loss Framing | 0/10 | Pure gain frame. No mention of what viewer is losing. |
| 5. Borrowed Authority | 0/10 | Brand name only. No external validation. |
| 6. Proof Integration | 0/10 | Zero evidence for the "better" claim. |
| 7. One Clear Action | 6/10 | Implied "Shop Now" but no explicit CTA. Somewhat clear. |
| 8. Continuation | 1/10 | No incomplete loop. Viewer satisfied without clicking. |
| **TOTAL** | **13/80** | Critical - needs full rebuild |

### Image 2: "Close-up of blanket texture with text 'Fall Asleep in 12 Minutes - 8,200+ Happy Sleepers'"

| Principle | Score | Notes |
|-----------|-------|-------|
| 1. Specificity | 9/10 | "12 minutes" = specific timeframe. "8,200+" = exact number. Measurable and falsifiable. |
| 2. Visceral Language | 4/10 | "Fall asleep" is functional but not visceral. Missing sensory detail. |
| 3. Tension/Relief | 5/10 | Implied relief (falling asleep fast) but tension is absent. |
| 4. Loss Framing | 0/10 | No loss mentioned. Could add "Stop losing 90 min/night." |
| 5. Borrowed Authority | 3/10 | "8,200+" is a volume signal but no external authority (no expert, no publication). |
| 6. Proof Integration | 7/10 | "8,200+ happy sleepers" backs the claim. Close to the claim. Specific. |
| 7. One Clear Action | 4/10 | No CTA at all. Viewer doesn't know what to do next. |
| 8. Continuation | 6/10 | "How do they do it?" creates mild curiosity. Not a strong open loop. |
| **TOTAL** | **38/80** | Weak - needs work on 3+ principles |

### Summary Across All 5 Images

| Principle | Img 1 | Img 2 | Img 3 | Img 4 | Img 5 | Average |
|-----------|-------|-------|-------|-------|-------|---------|
| 1. Specificity | 2 | 9 | 5 | 7 | 4 | 5.4/10 |
| 2. Visceral Language | 3 | 4 | 2 | 3 | 6 | 3.6/10 |
| 3. Tension/Relief | 1 | 5 | 7 | 4 | 3 | 4.0/10 |
| 4. Loss Framing | 0 | 0 | 3 | 0 | 2 | 1.0/10 |
| 5. Borrowed Authority | 0 | 3 | 2 | 6 | 1 | 2.4/10 |
| 6. Proof Integration | 0 | 7 | 4 | 5 | 3 | 3.8/10 |
| 7. One Clear Action | 6 | 4 | 5 | 7 | 8 | 6.0/10 |
| 8. Continuation | 1 | 6 | 3 | 4 | 5 | 3.8/10 |

**3 Weakest Principles (priority fixes)**:
1. Loss Framing (avg: 1.0/10) - zero loss language across the set
2. Borrowed Authority (avg: 2.4/10) - no expert citations, no media mentions
3. Visceral Language (avg: 3.6/10) - copy is functional but not sensory

**Overall Score**: 29/80 (Weak)

**Action Plan**:
- Add loss framing to images 1, 4: "You're losing 90 minutes every night" / "Every sleepless night costs you $47 in lost productivity"
- Add borrowed authority to image 3: "Recommended by 200+ sleep specialists" or include a Sleep Foundation logo
- Replace "Sleep Better Tonight" (Image 1) with visceral copy: "That heavy-eyelid feeling in 12 minutes flat"

---

## Your Turn

Pull screenshots of your top 5 Demand Gen images. Score each one against all 8 principles using the detailed sub-criteria above. Fill in the summary table and identify your 3 weakest principles.

---

## Interpretation Guide

| Overall Score | Assessment | What to Do |
|--------------|-----------|------------|
| 0-20 | Critical - creative is invisible | Rebuild all images from scratch using the Emotional Journey Planner |
| 21-40 | Weak - significant blind spots | Focus on your 3 weakest principles, rebuild 60% of images |
| 41-55 | Average - has some hooks but gaps remain | Fix your 2 weakest principles, refresh the lowest-scoring images |
| 56-70 | Good - fundamentals are working | Fine-tune the weakest principle, focus on creative refresh cadence |
| 71-80 | Excellent - maintain and iterate | Keep testing new angles but don't fix what isn't broken |


# Emotional Journey Planner Template

**Purpose**: Map your product's emotional journey across all 20 Demand Gen image slots

---

## Instructions

1. Complete the Emotional Truth Extraction first
2. Map each stage to your product's specific emotional arc
3. Assign DR Principles and Headline Types per slot
4. Verify coverage: all 8 DR Principles must appear, all 6 Headline Types represented

---

## Step 1: Emotional Truth Extraction (5 Questions)

Before writing any copy or mapping images, extract the emotional core with these 5 questions. Every answer must be specific - not segments, not features, not generalities.

**Product**: ________________

### Question 1: Who is ONE specific person?
Not a segment - a real human with name-worthy specificity.
**Example**: "Sarah, 34, wakes up with neck pain every morning and dreads the pillow aisle."
**Your answer**: ________________

### Question 2: What HUMAN DESIRE?
Not a product benefit - what they want in life.
**Example**: "To wake up feeling rested and pain-free, like she did in her 20s."
**Your answer**: ________________

### Question 3: What DEEPER PAIN?
Not the surface problem - what keeps them up at night.
**Example**: "She's tried 6 pillows in 2 years and feels like a sucker each time."
**Your answer**: ________________

### Question 4: What CUSTOMER LANGUAGE?
Exact phrases from reviews, forums, Reddit. Pull at least 5 distinct phrases.
**Example**: "waste of money", "my neck is killing me", "nothing works"
**Your phrases**:
1. ________________
2. ________________
3. ________________
4. ________________
5. ________________

### Question 5: What FEELING?
One core emotion that drives everything.
**Example**: "Frustration bordering on resignation."
**Your answer**: ________________

### Feature-to-Feeling Map

Now map your product's top features to feelings (use the "Feelings Not Features" principle):

| Feature | What It Means for the Person | The Feeling | Simple Version (5-Year-Old Test) |
|---------|------------------------------|-------------|----------------------------------|
| 1. ________________ | ________________ | ________________ | ________________ |
| 2. ________________ | ________________ | ________________ | ________________ |
| 3. ________________ | ________________ | ________________ | ________________ |
| 4. ________________ | ________________ | ________________ | ________________ |
| 5. ________________ | ________________ | ________________ | ________________ |

**Core Emotional Truth** (1 sentence): ________________

**Validation**: Does this make someone FEEL the emotion in Question 5? Would a 5-year-old understand the feeling? If no to either, revise.

---

## Quick Reference: Complete 20-Image Slot Map

Use this map as your starting point. Each slot has a pre-assigned emotional target and primary DR principle. You can adjust based on your product, but don't deviate from the stage progression.

| Slot | Stage | Emotional Target | Primary DR Principle | Headline Type (Default) |
|------|-------|-----------------|---------------------|------------------------|
| 1 | Recognition | "That's my problem" | Specificity | Bold Call-Out |
| 2 | Recognition | "It happens every time" | Visceral Language | Customer Quote |
| 3 | Recognition | "I'm losing because of this" | Loss Framing | Bold Call-Out |
| 4 | Recognition | "Someone understands" | Tension (peak) | Question |
| 5 | Hope | "Wait, there's a way" | Relief (begins) | Statistic- Mechanism |
| 6 | Hope | "This could be different" | Borrowed Authority | Customer Quote |
| 7 | Hope | "I need to see more" | Continuation | Question |
| 8 | Hope | "This is credible" | Proof Integration | Customer Quote |
| 9 | Belief | "Real people got results" | Social Proof | Customer Quote |
| 10 | Belief | "The numbers check out" | Specificity | Statistic- Mechanism |
| 11 | Belief | "I see how it works" | Proof Integration | Comparison/Versus |
| 12 | Belief | "Experts validate this" | Borrowed Authority | Customer Quote |
| 13 | Desire | "I want this result" | Visceral Language | Bold Call-Out |
| 14 | Desire | "I can see myself there" | Tension/Relief | Customer Quote |
| 15 | Desire | "This fits my life" | One Clear Action | Bold Call-Out |
| 16 | Desire | "I'm almost ready" | Continuation | Question |
| 17 | Action | "I need this now" | Loss Framing | Bold Call-Out |
| 18 | Action | "No risk to try" | Proof Integration | Customer Quote |
| 19 | Action | "Everyone else is doing it" | Borrowed Authority | Customer Quote |
| 20 | Action | "Buy now" | One Clear Action | Offer/Price |

---

## Step 2: Stage-by-Stage Planning

### Stage 1: Recognition (Images 1-4)
**Emotional target**: "That's exactly my problem"

| Slot | Image Scene | Text Overlay | DR Principle | Headline Type |
|------|------------|--------------|-------------|---------------|
| 1 | ________________ | ________________ | Specificity | Bold Call-Out |
| 2 | ________________ | ________________ | Visceral Language | Customer Quote |
| 3 | ________________ | ________________ | Loss Framing | Bold Call-Out |
| 4 | ________________ | ________________ | Tension (peak) | Question |

**Stage check**: Does the viewer recognize themselves in these 4 images? [ ] Yes [ ] No

### Stage 2: Hope (Images 5-8)
**Emotional target**: "Wait - maybe there IS a solution"

| Slot | Image Scene | Text Overlay | DR Principle | Headline Type |
|------|------------|--------------|-------------|---------------|
| 5 | ________________ | ________________ | Relief (begins) | Statistic- Mechanism |
| 6 | ________________ | ________________ | Borrowed Authority | Customer Quote |
| 7 | ________________ | ________________ | Continuation | Question |
| 8 | ________________ | ________________ | Proof Integration | Customer Quote |

**Stage check**: Does the viewer feel a shift from problem to possibility? [ ] Yes [ ] No

### Stage 3: Belief (Images 9-12)
**Emotional target**: "This actually works - I can see the proof"

| Slot | Image Scene | Text Overlay | DR Principle | Headline Type |
|------|------------|--------------|-------------|---------------|
| 9 | ________________ | ________________ | Social Proof | Customer Quote |
| 10 | ________________ | ________________ | Specificity | Statistic- Mechanism |
| 11 | ________________ | ________________ | Proof Integration | Comparison/Versus |
| 12 | ________________ | ________________ | Borrowed Authority | Customer Quote |

**Stage check**: Would a skeptic be convinced by these 4 images? [ ] Yes [ ] No

### Stage 4: Desire (Images 13-16)
**Emotional target**: "I want this outcome for myself"

| Slot | Image Scene | Text Overlay | DR Principle | Headline Type |
|------|------------|--------------|-------------|---------------|
| 13 | ________________ | ________________ | Visceral Language | Bold Call-Out |
| 14 | ________________ | ________________ | Tension/Relief | Customer Quote |
| 15 | ________________ | ________________ | One Clear Action | Bold Call-Out |
| 16 | ________________ | ________________ | Continuation | Question |

**Stage check**: Does the viewer visualize themselves with the result? [ ] Yes [ ] No

### Stage 5: Action (Images 17-20)
**Emotional target**: "I need to do this now"

| Slot | Image Scene | Text Overlay | DR Principle | Headline Type |
|------|------------|--------------|-------------|---------------|
| 17 | ________________ | ________________ | Loss Framing | Bold Call-Out |
| 18 | ________________ | ________________ | Proof Integration | Customer Quote |
| 19 | ________________ | ________________ | Borrowed Authority | Customer Quote |
| 20 | ________________ | ________________ | One Clear Action | Offer/Price |

**Stage check**: Is there enough urgency to drive the click? [ ] Yes [ ] No

---

## Step 3: Coverage Verification

### DR Principle Coverage

| Principle | Images Used In | Count | Min Required |
|-----------|---------------|-------|-------------|
| 1. Specificity | | | 2+ |
| 2. Visceral Language | | | 2+ |
| 3. Tension/Relief | | | 2+ |
| 4. Loss Framing | | | 2+ |
| 5. Borrowed Authority | | | 2+ |
| 6. Proof Integration | | | 3+ |
| 7. One Clear Action | | | 2+ |
| 8. Continuation | | | 2+ |

**All 8 represented?** [ ] Yes [ ] No - add missing principles to weakest images

### Headline Type Coverage

| Type | Images Used In | Count |
|------|---------------|-------|
| Bold Call-Out | | |
| Statistic- Mechanism | | |
| Comparison/Versus | | |
| Customer Quote | | |
| Question | | |
| Offer/Price | | |

**At least 4 types used?** [ ] Yes [ ] No - diversify headline approaches

---

## Step 4: Traffic Temperature Overlay

Check which temperature each image best serves:

| Image | Cold | Warm | Hot | Notes |
|-------|------|------|-----|-------|
| 1-4 | Primary | | | Recognition = cold audience priority |
| 5-8 | Secondary | Primary | | Hope = cold/warm transition |
| 9-12 | | Primary | Secondary | Belief = warm audience priority |
| 13-16 | | Secondary | Primary | Desire = warm/hot transition |
| 17-20 | | | Primary | Action = hot audience priority |

**For cold-only campaigns**: Weight images 1-8 more heavily
**For warm-only campaigns**: Weight images 5-16 more heavily
**For hot-only campaigns**: Weight images 13-20 more heavily

---

## Worked Example

**Product**: DTC sleep brand selling a weighted blanket ($129). Monthly Google Ads spend $18K, launching Demand Gen campaign targeting cold audiences.

### Emotional Truth Extraction (Completed)

**Product**: CloudRest Weighted Blanket (15 lbs, $129)

**Q1: Who is ONE specific person?**
"Rachel, 29, marketing manager, lies in bed scrolling her phone for 90 minutes every night because her brain won't shut off. She's tried melatonin, sleep apps, and blue light glasses."

**Q2: What HUMAN DESIRE?**
"To fall asleep within 15 minutes of getting into bed, like she did before her promotion."

**Q3: What DEEPER PAIN?**
"She's spent $340 on sleep supplements and gadgets that sit in her nightstand drawer. She feels like she's tried everything and nothing works. The exhaustion is affecting her work performance and she's starting to wonder if this is just her life now."

**Q4: What CUSTOMER LANGUAGE?**
1. "My brain just won't turn off"
2. "I've tried everything and nothing works"
3. "I'm so tired of being tired"
4. "Wasted money on another sleep gimmick"
5. "I just want to sleep like a normal person"

**Q5: What FEELING?**
"Resigned frustration - she's stopped believing solutions exist."

### Feature-to-Feeling Map

| Feature | What It Means | The Feeling | Simple Version |
|---------|--------------|-------------|----------------|
| 15 lb weight | Deep pressure touch activates parasympathetic nervous system | Being held. Safety. | "Like a hug that lasts all night" |
| Glass bead fill | Even weight distribution, no hot spots | Consistent comfort, no fidgeting | "Every inch feels the same" |
| Removable cover | Machine washable, easy maintenance | One less thing to worry about | "Throw it in the wash" |
| 48"x72" size | Covers full body without hanging off bed | Cocoon feeling, total coverage | "Wraps around you completely" |
| Cooling cotton | Breathable fabric, no overheating | Comfortable all night, no waking up sweaty | "Cool side of the pillow, all night" |

**Core Emotional Truth**: "Rachel doesn't need another gadget. She needs her body to physically override her racing mind."

### Completed 20-Image Slot Map (First 8 Shown)

| Slot | Stage | Image Scene | Text Overlay | DR Principle | Headline Type |
|------|-------|------------|--------------|-------------|---------------|
| 1 | Recognition | Woman staring at phone in dark bedroom, clock shows 1:47am | "1:47am. Still awake. Sound familiar?" | Specificity | Bold Call-Out |
| 2 | Recognition | Close-up of nightstand: melatonin bottle, sleep app on phone, eye mask | "My brain just won't turn off" | Visceral Language | Customer Quote |
| 3 | Recognition | Split screen: exhausted woman at desk vs energized coworker | "You're losing 7 hours of productivity every week to bad sleep" | Loss Framing | Bold Call-Out |
| 4 | Recognition | Woman lying awake, partner sleeping peacefully next to her | "What if the problem isn't your routine - it's your nervous system?" | Tension (peak) | Question |
| 5 | Hope | Infographic: "Deep pressure touch reduces cortisol by 31%" | "31% cortisol reduction in 15 minutes" | Relief (begins) | Statistic- Mechanism |
| 6 | Hope | Photo of woman sleeping peacefully under weighted blanket | "First night I fell asleep in 12 minutes. I cried the next morning." | Borrowed Authority | Customer Quote |
| 7 | Hope | Question text on calming gradient background | "What would you do with 90 extra minutes every night?" | Continuation | Question |
| 8 | Hope | 4.7 star rating badge with "8,200+ reviews" | "8,200 people stopped counting sheep" | Proof Integration | Customer Quote |

### Coverage Verification (Completed)

| Principle | Images Used In | Count | Min Required | Status |
|-----------|---------------|-------|-------------|--------|
| 1. Specificity | 1, 10 | 2 | 2+ | PASS |
| 2. Visceral Language | 2, 13 | 2 | 2+ | PASS |
| 3. Tension/Relief | 4, 14 | 2 | 2+ | PASS |
| 4. Loss Framing | 3, 17 | 2 | 2+ | PASS |
| 5. Borrowed Authority | 6, 12, 19 | 3 | 2+ | PASS |
| 6. Proof Integration | 8, 11, 18 | 3 | 3+ | PASS |
| 7. One Clear Action | 15, 20 | 2 | 2+ | PASS |
| 8. Continuation | 7, 16 | 2 | 2+ | PASS |

**All 8 represented?** [x] Yes

---

## Your Turn

Complete the Emotional Truth Extraction for YOUR product, then fill in the 20-image slot map using the stage assignments as your guide. Start with the Feature-to-Feeling Map - if you can't turn a feature into a feeling, that feature shouldn't be in your creative.

---

## Interpretation Guide

| Issue | What It Means | Fix |
|-------|--------------|-----|
| Can't answer Q1 with a specific person | You don't know your customer well enough | Read 50 product reviews before filling this out |
| Q4 language sounds like marketing copy | You're writing what you WANT them to say | Go to Reddit, Amazon reviews, or support tickets for real words |
| Feature-to-Feeling Map has empty "Feeling" column | Some features don't have emotional weight | Drop those features from your creative - they're for the product page, not ads |
| Recognition images feel generic | You're describing a category problem, not YOUR customer's specific pain | Add time, place, and sensory detail ("1:47am" not "late at night") |
| Belief images have no numbers | Social proof without specificity feels empty | Add star ratings, review counts, or measured results |
| Action images feel weak | Not enough urgency to drive the click | Add loss framing ("Every night you wait...") paired with a clear CTA |


# Cooper Framework Checklist: 5 Sacred Creative Principles

**Purpose**: Validate every image against the 5 Sacred Principles before production

---

## Quick Reference

Every image must pass ALL 5 principles. An image failing any single principle should not run. These are NON-NEGOTIABLE across all creativity levels.

| # | Principle | Core Rule | Test | Pass Threshold |
|---|-----------|-----------|------|---------------|
| 1 | Text Block Limits | Max 3-4 text blocks per image | Count text blocks before generating | 3-4 max |
| 2 | Visual Hierarchy (50/30/20) | ONE dominant element owns 40-50% of visual weight | Can viewer identify dominant element in 0.5 seconds? | Yes/No |
| 3 | Congruency | Visual message and copy message align perfectly | Cover copy - does image still support the message? | Yes + type identified |
| 4 | Simplicity | One image = one idea | Can any element be removed without loss? | Yes/No |
| 5 | Mobile-First Thumb-Stop | Readable at 200px wide, center-weighted | Show at thumbnail size - still works? | Yes/No |

---

## Text Block Counting Rules

A "text block" is a grouped content unit. These rules determine your count:

| Element | Block Count |
|---------|------------|
| Headline | 1 block |
| Subheadline | 1 block |
| 3-5 bullet points (grouped) | 1 block |
| Each separate badge/callout | 1 block each |
| CTA button | 1 block |
| Logo/brand name | NOT counted |

**If count exceeds 4 blocks, auto-prune using this decision flow:**

```
Step 1: ALWAYS KEEP (non-negotiable)
  -  Main headline (1 block)
  -  CTA button (1 block)
  = 2 blocks locked. 2 remaining slots.

Step 2: SELECT 2 from these options (priority order):
  1st choice: Primary supporting text (benefit statement or social proof)
  2nd choice: Trust signal (review count, certification badge, "as seen in")
  3rd choice: Offer callout (discount, free shipping, bonus)
  4th choice: Subheadline (secondary message)

Step 3: REMOVE everything else. Removal priority (first to go):
  -  Subheadline (if not selected above)
  -  Secondary badges (if primary trust signal already kept)
  -  Offer callout (if not the primary message)
  -  Duplicative text (any element restating what another already says)
```

**Common auto-prune scenarios**:
- Headline + CTA + benefits + trust badge + subheadline (5 blocks) -  Remove subheadline
- Headline + CTA + 2 separate badges + offer (5 blocks) -  Merge badges into 1 or remove weaker badge
- Headline + CTA + benefits + offer + trust (5 blocks) -  Remove offer OR trust, keep whichever matches the angle better

---

## Visual Hierarchy Reference

| Level | Weight | Purpose | Example |
|-------|--------|---------|---------|
| Dominant | 40-50% | Primary message or product | Hero product shot, main headline |
| Supporting | 25-35% | Reinforcement | Benefit bullets, social proof |
| Tertiary | 10-20% | Context | Background, setting, atmosphere |
| Barely visible | 5-10% | Texture | Subtle patterns, gradients |

**Rule**: If a viewer can't identify the dominant element in 0.5 seconds, the hierarchy is broken.

---

## Congruency Types Reference

| Type | When to Use | Example |
|------|-------------|---------|
| **Literal** | Product does exactly what copy says | "40-hour battery" -  person using headphones all day |
| **Emotional** | Visual evokes the FEELING of the benefit | "Wake up refreshed" -  serene morning scene |
| **Symbolic** | Visual metaphor for the benefit | "Bulletproof protection" -  shield/armor imagery |

**Congruency validation by angle:**
- Benefit Hero: Literal congruency (show the benefit happening)
- Problem Solution: Emotional congruency (show the transformation feeling)
- Social Proof: Literal congruency (show real person using product)
- Urgency Scarcity: Emotional congruency (create FOMO feeling)
- Feature Spotlight: Literal congruency (show the feature in detail)

**NEVER compromise congruency. Non-negotiable.**

---

## Image Validation Sheet

### Image ___: ________________

**Principle 1: Text Block Limits** - Count: ___/4 max

Count every text element on the image:
- [ ] Headline block: ___
- [ ] Subheadline block: ___
- [ ] Bullet/grouped text block: ___
- [ ] Badge/callout blocks: ___
- [ ] CTA block: ___
- **TOTAL**: ___ blocks (must be 4 or fewer)
- [ ] If  4, pruned using the auto-prune priority order

**Principle 2: Visual Hierarchy (50/30/20)** - Pass: [ ] Yes [ ] No

Does ONE element dominate 40-50% of visual weight?
- Dominant element (40-50%): ________________
- Supporting element (25-35%): ________________
- Tertiary element (10-20%): ________________
- [ ] Viewer identifies dominant element in 0.5 seconds
- [ ] Supporting elements reinforce, don't compete with dominant
- [ ] No two elements fight for the same visual weight

**Principle 3: Congruency** - Pass: [ ] Yes [ ] No

Do the visual and copy tell the same story?
- Congruency type: [ ] Literal [ ] Emotional [ ] Symbolic
- [ ] Image supports the copy message without the copy needing to explain the image
- [ ] Cover the copy - does the image still support the message?
- [ ] Cover the image - does the copy still make sense with this visual?
- [ ] Congruency type matches the angle (see reference above)

**Principle 4: Simplicity** - Pass: [ ] Yes [ ] No

One image = one idea.
- Core idea in 7 words or fewer: ________________
- [ ] Only ONE core message (not 2-3 competing ideas)
- [ ] Every element earns its place (removing it would hurt)
- [ ] White space used intentionally (not wasted space)
- [ ] No competing visual elements pulling attention away

**Principle 5: Mobile-First Thumb-Stop** - Pass: [ ] Yes [ ] No

Does this stop the scroll on a 6-inch screen?
- [ ] Readable at 200px wide (thumbnail test)
- [ ] High contrast text (dark on light OR light on dark)
- [ ] Safe margins: 72-120px minimum from edges (mobile UI overlay zones)
- [ ] Key elements in center 60% of canvas
- [ ] Pattern interrupt present (unexpected color, human eyes, bold typography, unusual scale)
- [ ] NOT stock photography (brain recognizes generic in  0.5 seconds)
- [ ] NOT low contrast (won't blend with platform UI)

---

**OVERALL**: [ ] 5/5 PASS - Proceed to production [ ] FAIL - Fix before production

**Failing principle(s)**: ________________
**Fix plan**: ________________

---

## Batch Validation (20 Images)

| Image | Text Blocks (3-4 max) | Hierarchy (50/30/20) | Congruency | Simplicity | Thumb-Stop | Pass 5/5? |
|-------|----------------------|---------------------|------------|------------|------------|-----------|
| 1 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 2 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 3 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 4 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 5 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 6 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 7 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 8 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 9 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 10 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 11 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 12 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 13 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 14 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 15 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 16 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 17 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 18 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 19 | Y/N | Y/N | Y/N | Y/N | Y/N | |
| 20 | Y/N | Y/N | Y/N | Y/N | Y/N | |

**Images passing 5/5**: ___/20
**Images needing fixes**: ___/20

**Do NOT upload any image that fails even 1 principle.** Fix it first.

---

## Worked Example

**Product**: DTC weighted blanket brand. Validating Image 3 from a 20-image Demand Gen set.

### Image 3: "Woman wrapped in blanket on couch, text overlay: 'Fall Asleep 3x Faster', subtext: 'Deep pressure therapy activates your parasympathetic nervous system', CTA button: 'Learn How', trust badge: '8,200+ reviews'"

**Principle 1: Text Block Limits** - Count: **4/4 max**

- [x] Headline block: "Fall Asleep 3x Faster" (1 block)
- [x] Subheadline block: "Deep pressure therapy activates..." (1 block)
- [ ] Bullet/grouped text block: none (0 blocks)
- [x] Badge/callout blocks: "8,200+ reviews" badge (1 block)
- [x] CTA block: "Learn How" button (1 block)
- **TOTAL**: 4 blocks (at the limit - no more can be added)
- [x] No pruning needed

**Principle 2: Visual Hierarchy (50/30/20)** - Pass: [x] Yes

- Dominant element (40-50%): Woman wrapped in blanket - warm, cozy scene dominates the frame
- Supporting element (25-35%): "Fall Asleep 3x Faster" headline text
- Tertiary element (10-20%): Subtext + CTA + badge
- [x] Viewer identifies dominant element (woman in blanket) in 0.5 seconds
- [x] Text supports but doesn't compete with the image
- [x] No two elements fight for visual weight

**Principle 3: Congruency** - Pass: [x] Yes

- Congruency type: [x] Emotional (visual evokes the FEELING of the benefit)
- [x] Image supports the copy: peaceful woman = "fall asleep faster"
- [x] Cover the copy: image alone suggests relaxation/sleep
- [x] Cover the image: copy alone makes sense (faster sleep claim + mechanism)
- [x] Emotional congruency matches the Problem-Solution angle

**Principle 4: Simplicity** - Pass: [x] Yes

- Core idea in 7 words or fewer: "This blanket makes you fall asleep fast"
- [x] ONE core message (fall asleep faster - everything supports this one claim)
- [x] Every element earns its place (removing any would weaken the message)
- [x] White space around CTA button for visual breathing room

**Principle 5: Mobile-First Thumb-Stop** - Pass: [ ] **No** - FAIL

- [x] Readable at 200px wide - text is large enough
- [x] High contrast - white text on darker scene
- [ ] **FAIL**: Safe margins - the "8,200+ reviews" badge is 60px from the bottom edge, overlapping with platform UI (Instagram story controls)
- [x] Key elements in center 60%
- [x] Pattern interrupt: warm domestic scene breaks the typical ad visual
- [x] Not stock photography - custom lifestyle shot

**OVERALL**: [ ] **FAIL** - 4/5 principles pass. Mobile margin issue on the trust badge.

**Failing principle(s)**: Principle 5 - Mobile-First Thumb-Stop

**Fix plan**: Move the "8,200+ reviews" badge from bottom-right corner to below the headline (becomes part of the supporting text area). This keeps it in the safe zone (center 60%) and maintains 4 text blocks.

### Batch Validation Result (20 Images)

| Image | Text Blocks | Hierarchy | Congruency | Simplicity | Thumb-Stop | Pass 5/5? |
|-------|------------|-----------|------------|------------|------------|-----------|
| 1 | Y | Y | Y | Y | Y | 5/5 PASS |
| 2 | Y | Y | Y | Y | Y | 5/5 PASS |
| 3 | Y | Y | Y | Y | **N** | **4/5 FAIL** |
| 4 | **N** (5 blocks) | Y | Y | Y | Y | **4/5 FAIL** |
| 5 | Y | Y | Y | Y | Y | 5/5 PASS |
| ... | ... | ... | ... | ... | ... | ... |

**Images passing 5/5**: 16/20
**Images needing fixes**: 4/20

Image 3: Move badge to safe zone. Image 4: Prune subheadline (5th text block). Images 11 and 17: Fix contrast issues for mobile readability.

---

## Your Turn

For each image in your set, work through all 5 principles using the validation sheet above. Count text blocks first (fastest check), then assess hierarchy, congruency, simplicity, and mobile readability.

Do not skip directly to the batch validation table - scoring individual images first catches issues the batch table alone would miss.

---

## Interpretation Guide

| Failure Pattern | What It Means | Fix |
|----------------|--------------|-----|
| 5+ text blocks on multiple images | Your designer is treating ads like brochures | Enforce the 4-block rule and auto-prune flow for every image |
| Hierarchy fails frequently | No clear focal point - everything competes | Increase the dominant element to 50%+ of visual weight |
| Congruency fails | Your copy says one thing, your image says another | Reshoot or re-select images that match the specific copy angle |
| Simplicity fails | Trying to say too many things in one image | Remove secondary messages - one image, one idea, no exceptions |
| Thumb-stop fails | Safe margins or contrast issues | Test every image at 200px width before production. Move elements to center 60%. |
| Less than 80% of images pass | The creative set isn't ready for launch | Fix all failures before uploading - one weak image drags down the whole set |


# AI Image Prompt Library: 50 Proven Prompts for Demand Gen Creative

**Standalone Value**: $197
**Works with**: Midjourney, DALL-E, Stable Diffusion, Canva AI

---

## How to Use This Library

1. Find your product category below
2. Select prompts matching your emotional journey stage (Recognition, Hope, Belief, Desire, Action)
3. Replace bracketed placeholders with your product specifics
4. Adjust the style directive for your brand aesthetic
5. Generate, review against Cooper Framework (5 Sacred Principles), add text overlays

---

## The 7-Section Prompt Structure

Every high-quality image prompt should specify ALL 7 sections. Missing sections produce generic, "AI-slop" results. Use this structure when customizing any prompt in this library.

### Section 1: Scene Composition
Specify: composition type (rule of thirds, centered, split-screen), camera angle (eye-level, 15 elevated, overhead), framing (full shot, medium, close-up, macro), depth of field (shallow f/1.8, medium f/4, deep f/11), focal length (35mm environmental, 50mm natural, 85mm portrait, 100mm+ product detail).

### Section 2: Lighting Specification
Never say "good lighting." Specify: source (natural window, golden hour, studio softbox, rim light), direction (front-lit, side-lit, backlit, 45 degree), quality (soft/diffused, hard/sharp shadows), temperature (warm 3200K, neutral 5500K, cool 7000K), specials (catch lights, reflections, lens flare).

### Section 3: Color Psychology
Specify palette intention: Trust = blue-dominant/cool neutrals, Energy = red-orange/warm, Premium = black/gold/deep navy, Natural = green/earth tones/cream, Clean = white/light gray/minimal.

### Section 4: Product Treatment
Specify: scale (true-to-life, enlarged for detail), orientation (front-facing, 3/4 angle preferred for depth, flat-lay, in-use), surface condition (pristine, slightly used for authenticity), branding (logo visible, label readable), context props (complementary items, not competing).

### Section 5: Person Direction (when applicable)
Specify: interaction (holding, using, examining), expression (genuine smile, focused, relief, satisfaction), gaze (at product, at camera, off-camera), posture (relaxed, active, professional), demographics (match target audience).

### Section 6: Environment   Atmosphere
Specify: setting (specific location), time (morning light, golden hour, bright midday), weather/season cues, atmosphere (cozy, energetic, serene), background treatment (clean blur, contextual detail).

### Section 7: Technical   Style Keywords
Always end with: photography style (commercial, editorial, lifestyle, product), post-processing (clean/natural, high contrast, matte film), resolution (high-resolution, sharp details), restrictions (no text overlays, no watermarks, no artificial elements).

---

## Prompt Anti-Patterns (Avoid These)

| Anti-Pattern | Why It Fails | Better Alternative |
|-------------|-------------|-------------------|
| "Beautiful product photo" | Too vague, AI defaults to generic | Specify composition, lighting, angle per sections above |
| "High quality" | Meaningless to AI | Specify resolution, sharpness, style |
| "Professional lighting" | 50 different interpretations | "Soft window light from left, 45 degrees, warm 4000K" |
| "Nice background" | Generic backdrop | "Modern kitchen counter, white marble, morning light" |
| "A person" | No specificity | "Woman 30-35, genuine smile, holding product at eye level" |
| "Lifestyle image" | Too broad | Describe the exact scene, time, mood |

---

## Positioning Strategies

| Strategy | Description | Best For |
|----------|-------------|----------|
| Center-weighted | Key elements in center 60% of canvas | Safe default, all placements |
| Reverse gradient | Dark edges fading to light center | Product hero shots |
| Rule of thirds | Product at intersection points | Lifestyle with context |
| Asymmetric balance | Product offset, visual weight balanced by props | Editorial style |

**Mobile Safety Zones**: Top 15% may be covered by status bar. Bottom 10% by navigation. Left/right 5% edge bleed. Safe area: center 70% horizontal, center 75% vertical.

---

## Category 1: Skincare (10 Prompts)

### Recognition Stage
**Prompt 1**: Close-up photograph of a woman examining her face in a bathroom mirror, early morning light, visible skin concern on [specific area], expression of frustration and concern. Natural, unfiltered skin texture. Bathroom setting with everyday products visible. Shot from slightly behind to include mirror reflection.

**Prompt 2**: Split-screen composition. Left: woman touching her face with worried expression under harsh fluorescent office lighting. Right: same woman's daily skincare lineup of 6+ products arranged on a cluttered bathroom counter. Overhead perspective.

### Hope Stage
**Prompt 3**: Soft golden-hour photograph of a woman gently touching her cheek with a subtle smile, product bottle visible but not dominant (bottom-right, 15% of frame). Clean, bright bathroom setting. Expression suggests pleasant surprise.

**Prompt 4**: Before-and-after style composition, single frame. Left half slightly desaturated showing skin concern, right half warm-toned showing clear improvement. Transition line down the middle. No text - image tells the story.

### Belief Stage
**Prompt 5**: Flat-lay arrangement of the product surrounded by 5-star review cards (visible but not readable), a "dermatologist recommended" badge, and fresh botanical ingredients. White marble surface. Overhead shot with natural shadows.

### Desire Stage
**Prompt 6**: Confident woman walking outdoors on a sunny day, no makeup visible, skin glowing naturally. The image radiates health and confidence. Product NOT visible - this is about the outcome, not the object. Candid, not posed.

### Action Stage
**Prompt 7**: Product packaging in hand, being opened. Close-up of hands opening the box with anticipation. Background blurred. The composition suggests "moment of arrival" - unboxing energy.

## Category 2: Supplements (8 Prompts)

### Recognition Stage
**Prompt 8**: Person sitting at desk at 2pm, head in hands, empty coffee cups visible (3+), laptop screen blurry in background. Natural office lighting. The exhaustion is physical and visible. Shot from desk-level perspective.

**Prompt 9**: Medicine cabinet open, revealing 8+ supplement bottles of various brands, disorganized. Hand reaching in with uncertain expression visible in medicine cabinet mirror. Conveying "nothing works" feeling.

### Hope Stage
**Prompt 10**: Person stretching in morning sunlight streaming through window, expression of genuine energy. Supplement bottle on nightstand, visible but secondary to the human moment. Warm, golden light.

### Belief Stage
**Prompt 11**: Clean flat-lay: supplement bottle center, surrounded by ingredient close-ups (turmeric root, ashwagandha, magnesium crystals - replace with actual ingredients), a lab coat sleeve visible at edge, and a small graph trending upward.

### Desire Stage
**Prompt 12**: Active person in their element - running, cooking, playing with kids - radiating natural energy. No supplement visible. This is the life AFTER. Shot with movement, not posed.

### Action Stage
**Prompt 13**: Hand holding supplement bottle with morning routine visible in background (water glass, phone showing 6:30am, sunlight). The "adding one thing to your routine" moment.

## Category 3: Home Goods (8 Prompts)

### Recognition Stage
**Prompt 14**: Cluttered, disorganized space [kitchen counter / closet / bathroom]. Natural messy - not staged mess. Overhead shot showing the chaos from above. The viewer should recognize their own space.

**Prompt 15**: Person standing in doorway looking at a messy room, shoulders slightly slumped, side-lit to create a contemplative mood. The "I don't even know where to start" moment.

### Hope Stage
**Prompt 16**: Same space as Prompt 14 but halfway organized. Product visible in use. The "it's getting better" moment. Same overhead angle for continuity.

### Belief Stage
**Prompt 17**: Perfectly organized space using the product. Tight crop showing detailed organization. Magazine-quality but achievable. Include one imperfect element (a slightly crooked label, a toy peeking out) to keep it real.

### Desire Stage
**Prompt 18**: Person relaxing in the now-organized space, cup of coffee/tea in hand, expression of calm satisfaction. Wide shot showing the full transformed environment. Natural evening light.

### Action Stage
**Prompt 19**: Product in its retail packaging, being placed on the counter/shelf. The "arrival" moment. Hands visible, background of the space that's about to be transformed.

## Category 4: Fashion (8 Prompts)

### Recognition Stage
**Prompt 20**: Person standing before an overflowing closet, wearing something ill-fitting, expression of "I have nothing to wear." Bedroom lighting. Clothes scattered on bed visible in background.

### Hope Stage
**Prompt 21**: Person holding up one garment against themselves in front of a mirror, head tilted with an intrigued expression. The "maybe this could work" moment. Store or bedroom setting.

### Belief Stage
**Prompt 22**: Three or four flat-lay outfit combinations using the same core piece in different ways. Clean white or natural wood surface. Styled with accessories. Shows versatility.

**Prompt 23**: Street-style photograph of someone wearing the item confidently in a real environment (not studio). Candid-looking, movement in the shot, urban or lifestyle backdrop.

### Desire Stage
**Prompt 24**: Social situation photograph - dinner table, outdoor event, casual gathering. Person wearing the item receiving a visible compliment or admiring glance from someone nearby. The social validation moment.

### Action Stage
**Prompt 25**: Close-up of fabric texture and construction details. Stitching, material quality, zipper pull. The "this is well-made" reassurance shot.

## Category 5: Pet Products (8 Prompts)

### Recognition Stage
**Prompt 26**: Dog/cat showing the specific problem the product solves - scratching, anxious posture, refusing food, tangled fur. Pet owner in background with concerned expression. Home setting.

### Hope Stage
**Prompt 27**: Pet owner holding the product while pet looks up with interest. Warm home lighting. The "let's try this" moment.

### Belief Stage
**Prompt 28**: Happy, healthy pet in motion - running, playing, eating enthusiastically. Product visible in the scene but not dominant. The contrast to the problem state is clear.

**Prompt 29**: Flat-lay of product with ingredient callouts, vet badge, and pet surrounded by the elements. Clean, trustworthy composition.

### Desire Stage
**Prompt 30**: Pet and owner having a joyful moment together - couch cuddle, outdoor play, peaceful sleeping. The emotional bond payoff. No product visible.

### Action Stage
**Prompt 31**: Product being offered to the pet - hand holding treat, pouring food, applying product. The "simple to use" demonstration moment.

## Category 6: Food   Beverage (8 Prompts)

### Recognition Stage
**Prompt 32**: Person staring into open refrigerator with disappointed expression. The "nothing to eat" or "nothing healthy" moment. Kitchen lighting, realistic fridge contents.

**Prompt 33**: Meal prep disaster scene - overcooked food, too many dishes, stressed expression. The "cooking is too hard" recognition.

### Hope Stage
**Prompt 34**: Hands opening the product packaging. Clean, appealing product interior revealed. Steam or freshness indicators. The "this looks good" moment.

### Belief Stage
**Prompt 35**: Overhead food photography of the finished meal/product plated beautifully. Fork or spoon mid-bite. Ingredients visible around the plate for "made with real X" signal.

### Desire Stage
**Prompt 36**: Family/friends gathered around a table enjoying the meal together. Conversation, laughter, plates with the product. The social eating experience.

### Action Stage
**Prompt 37**: Product in retail context - on a counter next to a cutting board, in a pantry alongside other products. Positioned as "part of your routine now."

## Universal Prompts (Any Category, 13 Prompts)

### Social Proof Templates
**Prompt 38**: Grid of 6-9 phone screens showing 5-star reviews, slightly overlapping. Clean background. Each review partially visible, creating a "wall of proof" effect.

**Prompt 39**: "As Featured In" composition - publication logos arranged on clean background with product centered. Professional press-style layout.

### Before/After Templates
**Prompt 40**: Split-frame composition template. Left side cool-toned (before), right side warm-toned (after). Same angle, same subject, clear transformation. Dividing line sharp and clean.

**Prompt 41**: Timeline-style composition: 3 frames in a row showing Day 1, Day 14, Day 30 progression. Small date stamps in corners. Progressive improvement visible.

### Urgency/Offer Templates
**Prompt 42**: Product packaging with a bold, clean price tag or offer badge. Minimal background. The "here's what you get" clarity shot. Badge positioned lower-right.

**Prompt 43**: "Last chance" styled composition - product with countdown-style elements (calendar, clock, "limited" badge). Creates visual urgency without words.

### Lifestyle/Aspirational Templates
**Prompt 44**: Morning routine scene with product naturally integrated. Person in motion - not posed, not looking at camera. The "part of my life now" integration shot.

**Prompt 45**: Evening wind-down scene with product visible. Warm lighting, comfortable setting, relaxation mood. The "reward yourself" moment.

### Ingredient/Process Templates
**Prompt 46**: Macro photography of key ingredients or materials. Extreme close-up showing quality and texture. Clean background with subtle brand color accent.

**Prompt 47**: "Behind the scenes" style - manufacturing, farming, or sourcing imagery that conveys quality process. Documentary style, not corporate.

### Authority Templates
**Prompt 48**: Product with certification badges, award logos, or expert endorsement elements arranged neatly. Clean, professional, trustworthy composition.

**Prompt 49**: Expert (doctor, chef, trainer - relevant to category) holding or recommending the product. Professional setting. Authority figure clearly identifiable by attire/setting.

**Prompt 50**: Customer mosaic - grid of 12-20 happy customer faces (diverse), product in center. Community feeling. Consensus visual.

---

## Text Overlay Placement Guide

For every generated image, add text overlays following these rules:

- **Top third**: Headlines and hooks (largest text)
- **Middle third**: Supporting copy (medium text)
- **Bottom third**: CTA and brand elements (button-style)
- **Ensure contrast**: Use semi-transparent overlay bars behind text on busy images
- **Mobile first**: Test readability at 375px width before finalizing


# Text Overlay Copy Templates: 64 Fill-in-the-Blank Templates by DR Principle

**Standalone Value**: $147
**Format**: Copy, customize, apply to any product

---

## How to Use

1. Identify which DR Principle your image targets (from the emotional journey map)
2. Find the matching principle section below
3. Choose a template that fits your product and audience temperature
4. Fill in the brackets with your product specifics
5. Score the result using the Headline Scoring Rubric (Module 4) - must be 70+

### Cooper Framework Reminder: 3-4 Text Block Maximum

Every image ad has a hard limit of 3-4 text blocks. A text overlay from this library counts as 1 block. Before adding text, count what's already on the image:

| Element | Block Count |
|---------|------------|
| Your text overlay (from templates below) | 1 block |
| CTA button | 1 block |
| Trust badge or social proof callout | 1 block |
| Subheadline or secondary copy | 1 block |
| Logo/brand name | NOT counted |

If your image already has a headline + CTA + trust badge (3 blocks), you can add ONE more text overlay from these templates. If it already has 4 blocks, something must go. The auto-prune priority: always keep headline + CTA, then select 2 from supporting elements.

---

## Principle 1: Specificity (8 Templates)

**S-1**: "[Exact number] [customers/users] switched to this in [timeframe]"
Example: "47,000 women switched to this sunscreen in 2025"

**S-2**: "[Specific outcome] in [exact timeframe]"
Example: "Clear skin in 14 days"

**S-3**: "[Exact number] [units] of [result] per [time period]"
Example: "8 hours of uninterrupted sleep per night"

**S-4**: "From [specific bad metric] to [specific good metric]"
Example: "From 3 hours of sleep to 8"

**S-5**: "[Product] costs $[price]. [Competing solution] costs $[higher price]."
Example: "This costs $34. Your dermatologist charges $200."

**S-6**: "[Specific percentage] of [group] reported [specific result]"
Example: "87% of users reported less bloating in 14 days"

**S-7**: "Tested on [specific number] [people/products/scenarios]"
Example: "Tested on 12,000 skin types over 3 years"

**S-8**: "[Exact time] to [specific result]. Not [vague alternative]."
Example: "11 minutes to fall asleep. Not 'better sleep eventually.'"

---

## Principle 2: Visceral Language (8 Templates)

**V-1**: "That [time] [physical sensation] feeling"
Example: "That 2am acid-burn feeling"

**V-2**: "Your [body part] [physical verb] by [time of day]"
Example: "Your feet are screaming by 3pm"

**V-3**: "[Sensory adjective] against [body part/surface]"
Example: "Silk against sunburned skin"

**V-4**: "Remember when [body/life] didn't [physical complaint]?"
Example: "Remember when your knees didn't crack?"

**V-5**: "The [visceral relief] of [specific moment]"
Example: "The cool relief of the first application"

**V-6**: "[Body part] that finally [stops/starts] [physical action]"
Example: "A stomach that finally stops burning"

**V-7**: "Wake up without the [physical symptom]"
Example: "Wake up without the stiffness"

**V-8**: "Feel the difference in your [body part] by [time]"
Example: "Feel the difference in your joints by morning"

---

## Principle 3: Tension/Relief (8 Templates)

**T-1**: "[Specific problem]? [Specific solution timeframe]."
Example: "Breakouts every Monday? Clear by Friday."

**T-2**: "You've tried [number] [solutions]. This is the last one."
Example: "You've tried 6 mattresses. This is the last one."

**T-3**: "Stop [pain activity]. Start [relief activity]."
Example: "Stop tossing. Start sleeping."

**T-4**: "[Painful reality]. But not after [product/day/moment]."
Example: "Every morning hurts. But not after Day 3."

**T-5**: "What if [pain] wasn't your normal?"
Example: "What if bloating wasn't your normal?"

**T-6**: "[Current suffering] or [better alternative]. Your call."
Example: "$200/month on products that don't work. Or $34 that does. Your call."

**T-7**: "The last time you'll [negative experience]"
Example: "The last time you'll dread looking in the mirror"

**T-8**: "[Pain point] ends here."
Example: "Sleepless nights end here."

---

## Principle 4: Loss Framing (8 Templates)

**L-1**: "You're losing [specific amount] every [time period]"
Example: "You're losing $47/month on supplements that don't absorb"

**L-2**: "Every [time period] without this costs you [specific cost]"
Example: "Every month without proper sleep costs you 8 productive hours"

**L-3**: "Your competitors figured this out [timeframe] ago"
Example: "Your competitors figured this out 6 months ago"

**L-4**: "[Time period] of [result] you'll never get back"
Example: "6 months of clear skin you'll never get back"

**L-5**: "You're paying [amount] for [product] that [doesn't work]"
Example: "You're paying $200/month for skincare that isn't working"

**L-6**: "[Number] [people] already have this. You don't."
Example: "47,000 people already sleep better. You don't."

**L-7**: "Still [suffering] while [others] already [solved it]?"
Example: "Still breaking out while everyone else figured it out?"

**L-8**: "The [cost] of waiting another [time period]"
Example: "The cost of waiting another summer with that skin"

---

## Principle 5: Borrowed Authority (8 Templates)

**B-1**: "Recommended by [number]+ [authority type]"
Example: "Recommended by 200+ dermatologists"

**B-2**: "As seen in [publication/media]"
Example: "As seen in Vogue, Allure, and Women's Health"

**B-3**: "[Authority figure] uses this [frequency/way]"
Example: "Olympic athletes use this for recovery"

**B-4**: "[Number] [star rating] reviews on [platform]"
Example: "47,000+ 5-star reviews on Amazon"

**B-5**: "Developed with [institution/expert type]"
Example: "Developed with Stanford sleep researchers"

**B-6**: "#1 [category] on [platform/ranking]"
Example: "#1 sleep supplement on Amazon"

**B-7**: "[Certification/award] certified"
Example: "FDA-registered facility. GMP certified."

**B-8**: "[Expert type] keep running out of this"
Example: "Dermatologists keep recommending this to their own families"

---

## Principle 6: Proof Integration (8 Templates)

**P-1**: "Before: [specific bad state]. After: [specific good state]."
Example: "Before: 3 hours of sleep. After: 8 hours, every night."

**P-2**: "[Customer name/type] went from [bad] to [good] in [time]"
Example: "Sarah went from daily breakouts to clear skin in 14 days"

**P-3**: "[Specific result]. We have the [proof type] to prove it."
Example: "87% improvement. We have the clinical data to prove it."

**P-4**: "[Number] customers. [Number] [positive outcomes]."
Example: "12,000 customers. 11,400 report better sleep within 2 weeks."

**P-5**: "We tested this for [time] before launching"
Example: "We tested this for 3 years before launching"

**P-6**: "[Bad metric] -  [good metric]. [Timeframe]."
Example: "1.4x ROAS -  4.1x ROAS. 45 days."

**P-7**: "See what [number] [time period] looks like"
Example: "See what 14 days of consistent use looks like"

**P-8**: "[Result] isn't a promise. It's what happened to [number] people."
Example: "Clear skin isn't a promise. It's what happened to 12,000 people."

---

## Principle 7: One Clear Action (8 Templates)

**O-1**: "Shop now. [Benefit] by [timeframe]."
Example: "Shop now. Better sleep by this weekend."

**O-2**: "Try it for [timeframe]. [Guarantee]."
Example: "Try it for 30 days. Full refund if you don't love it."

**O-3**: "Get yours before [scarcity element]"
Example: "Get yours before the next batch sells out"

**O-4**: "[Number] left at this price"
Example: "127 left at the launch price"

**O-5**: "Start [desired outcome] today"
Example: "Start sleeping better tonight"

**O-6**: "[Free/discounted] [element] with your first order"
Example: "Free overnight shipping with your first order"

**O-7**: "See the full results - tap here"
Example: "See the full 30-day results - tap here"

**O-8**: "Your [specific outcome] starts with this"
Example: "Your clearest skin starts with this"

---

## Principle 8: Continuation (8 Templates)

**C-1**: "[Number] reasons your [problem]. #[last] changes everything."
Example: "3 reasons your skin breaks out. #3 changes everything."

**C-2**: "[Number] [people] tried this. Here's what happened."
Example: "12,000 women tried this. Here's what happened."

**C-3**: "The ingredient your [expert type] won't tell you about"
Example: "The ingredient your dermatologist won't tell you about"

**C-4**: "Why [time] is the [worst/best] time for [your problem/product]"
Example: "Why 3am is the worst time for your mattress"

**C-5**: "One change that [specific dramatic result]"
Example: "One change that cut her energy bill by 40%"

**C-6**: "We almost didn't release this because [intriguing reason]"
Example: "We almost didn't release this because it made our $89 product obsolete"

**C-7**: "What happened when [number] people stopped using [competitor/old way]"
Example: "What happened when 5,000 people stopped using their old skincare"

**C-8**: "The real reason [pain point] keeps happening"
Example: "The real reason you wake up at 3am"


# Creative Brief Template: Complete 20-Image Specification

**Standalone Value**: $97
**Format**: Fill-in-the-blank brief that generates a full Demand Gen creative spec

---

## Instructions

1. Complete the Product   Audience section
2. Define your 4 angles using the Angle Matrix
3. Fill in all 20 image specifications (5 per angle)
4. Score every headline using the rubric at the bottom
5. Review against the Cooper Framework checklist
6. Hand the completed brief to your designer, AI tool, or internal team

---

## Section 1: Product   Audience

**Product Name**: ________________
**Product Category**: ________________
**Price Point**: $________________
**Product URL**: ________________

**Target Audience**: ________________
**Primary Pain Point**: ________________
**Primary Desired Outcome**: ________________
**Current Awareness Level**: [ ] Unaware [ ] Problem-Aware [ ] Solution-Aware [ ] Product-Aware

**Brand Aesthetic**: ________________
**Primary Color Palette**: ________________
**Typography Style**: ________________
**Tone**: ________________

---

## Section 2: Emotional Truth Extraction

Complete the People Not Products conversion for your top 5 features:

| Feature | Human Experience | Core Emotion | Simple Language (5-Year-Old Test) |
|---------|-----------------|-------------|----------------------------------|
| 1. ________________ | ________________ | ________________ | ________________ |
| 2. ________________ | ________________ | ________________ | ________________ |
| 3. ________________ | ________________ | ________________ | ________________ |
| 4. ________________ | ________________ | ________________ | ________________ |
| 5. ________________ | ________________ | ________________ | ________________ |

---

## Section 3: 4-Angle Definition

### The 4-Angle Framework: Problem/Outcome x Rational/Emotional

Every product can be positioned from 4 distinct angles by crossing two dimensions. This matrix ensures creative diversity - each angle activates a different part of the viewer's brain.

```
                    RATIONAL                    EMOTIONAL
              +---------------------+---------------------+
   PROBLEM    | Angle 2:            | Angle 1:            |
              | Problem-Rational    | Problem-Emotional   |
              | Numbers, costs,     | Frustration, pain,  |
              | wasted effort       | identity threat     |
              +---------------------+---------------------+
   OUTCOME    | Angle 4:            | Angle 3:            |
              | Outcome-Rational    | Outcome-Emotional   |
              | Stats, proof,       | Relief, confidence, |
              | measurable results  | identity shift      |
              +---------------------+---------------------+
```

**Why this works**: Problem angles activate the threat detection system (faster, more powerful). Outcome angles activate the reward system (builds desire). Rational angles convince the logical brain. Emotional angles bypass logic entirely. Running all 4 means you reach every buyer type, every decision mode.

### Angle 1: Problem-Emotional
**Core emotion**: ________________
**The viewer's internal thought**: "________________"
**Best traffic temperature**: [ ] Cold [ ] Warm [ ] All
**Key DR Principles**: ________________

### Angle 2: Problem-Rational
**Core emotion**: ________________
**The viewer's internal thought**: "________________"
**Best traffic temperature**: [ ] Cold [ ] Warm [ ] All
**Key DR Principles**: ________________

### Angle 3: Outcome-Emotional
**Core emotion**: ________________
**The viewer's internal thought**: "________________"
**Best traffic temperature**: [ ] Warm [ ] Hot [ ] All
**Key DR Principles**: ________________

### Angle 4: Outcome-Rational
**Core emotion**: ________________
**The viewer's internal thought**: "________________"
**Best traffic temperature**: [ ] Warm [ ] Hot [ ] All
**Key DR Principles**: ________________

---

## Section 4: 20-Image Specifications

### ANGLE 1: Problem-Emotional

**Image 1 - Recognition**
- Scene description: ________________
- Text overlay: ________________
- Headline type: [ ] Bold Call-Out [ ] Question [ ] Customer Quote
- DR Principle: ________________
- Headline score: ___/100 (must be 70+)
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 2 - Hope**
- Scene description: ________________
- Text overlay: ________________
- Headline type: [ ] Bold Call-Out [ ] Statistic- Mechanism [ ] Customer Quote
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 3 - Belief**
- Scene description: ________________
- Text overlay: ________________
- Headline type: [ ] Customer Quote [ ] Comparison/Versus [ ] Statistic- Mechanism
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 4 - Desire**
- Scene description: ________________
- Text overlay: ________________
- Headline type: [ ] Bold Call-Out [ ] Customer Quote [ ] Offer/Price
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 5 - Action**
- Scene description: ________________
- Text overlay: ________________
- Headline type: [ ] Offer/Price [ ] Customer Quote
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

---

### ANGLE 2: Problem-Rational

**Image 6 - Recognition**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 7 - Hope**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 8 - Belief**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 9 - Desire**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 10 - Action**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

---

### ANGLE 3: Outcome-Emotional

**Image 11 - Recognition**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 12 - Hope**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 13 - Belief**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 14 - Desire**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 15 - Action**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

---

### ANGLE 4: Outcome-Rational

**Image 16 - Recognition**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 17 - Hope**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 18 - Belief**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 19 - Desire**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

**Image 20 - Action**
- Scene description: ________________
- Text overlay: ________________
- Headline type: ________________
- DR Principle: ________________
- Headline score: ___/100
- Cooper checklist: Text Blocks [ ] Hierarchy [ ] Congruency [ ] Simplicity [ ] Thumb-Stop [ ]

---

## Section 5: Production Notes

**Aspect ratios required**:
- [ ] Landscape (1.91:1) - 1200x628
- [ ] Square (1:1) - 1200x1200
- [ ] Portrait (4:5) - 960x1200
- [ ] Tall (9:16) - 1080x1920 (optional)

**Design master**: Start with [ ] Square [ ] Landscape - adapt to others

**Text overlay specs**:
- Font: ________________
- Max words per line: 8
- Max lines: 2
- Contrast method: [ ] Solid overlay bar [ ] Drop shadow [ ] Dark gradient
- CTA button style: ________________

**File naming convention**: [brand]-[angle#]-[image#]-[ratio].png
Example: acme-a1-img3-square.png

---

## Section 6: Headline Score Summary

**Headline Quality Gate**: Score each headline below using the Module 4 rubric. Any headline scoring below 70 must be rewritten before proceeding to production. Do not skip this step - sub-70 headlines waste test budget and dilute your creative signal.

| Headline | 3-Rule Filter (/30) | Relevance (/20) | Clarity (/15) | Proofability (/15) | Uniqueness (/10) | Visual Synergy (/10) | Total (/100) | Pass/Fail |
|----------|-------------------|-----------------|---------------|-------------------|-----------------|---------------------|-------------|-----------|
| ________________ | | | | | | | | [ ] Pass [ ] Fail |
| ________________ | | | | | | | | [ ] Pass [ ] Fail |
| ________________ | | | | | | | | [ ] Pass [ ] Fail |

*Copy this row for all 20 headlines. Any "Fail" = rewrite before production.*

**Production image summary (after all headlines pass 70+):**

| Image # | Headline | Type | Score | Pass? |
|---------|----------|------|-------|-------|
| 1 | | | /100 | |
| 2 | | | /100 | |
| 3 | | | /100 | |
| 4 | | | /100 | |
| 5 | | | /100 | |
| 6 | | | /100 | |
| 7 | | | /100 | |
| 8 | | | /100 | |
| 9 | | | /100 | |
| 10 | | | /100 | |
| 11 | | | /100 | |
| 12 | | | /100 | |
| 13 | | | /100 | |
| 14 | | | /100 | |
| 15 | | | /100 | |
| 16 | | | /100 | |
| 17 | | | /100 | |
| 18 | | | /100 | |
| 19 | | | /100 | |
| 20 | | | /100 | |

**All 70+?** [ ] Yes - proceed to production [ ] No - rewrite sub-70 headlines

---

## Section 7: Cooper Framework Final Check

| Principle | Rule | Images Passing | Images Failing | Fix Needed? |
|-----------|------|---------------|----------------|-------------|
| Text Block Limits | Max 3-4 text blocks per image | /20 | /20 | |
| Visual Hierarchy | 50/30/20 split (Primary/Secondary/Tertiary) | /20 | /20 | |
| Congruency | Visual matches copy (Demonstrative, Emotional, or Symbolic) | /20 | /20 | |
| Simplicity | One message per image, no clutter | /20 | /20 | |
| Mobile-First Thumb-Stop | Readable at mobile size, scroll-stopping | /20 | /20 | |

**All images pass 5/5?** [ ] Yes - brief is complete [ ] No - fix failing images before production


# Headline Scoring Rubric Worksheet

**Standalone Value**: $67
**Purpose**: Score every headline before it costs you test budget

---

## Quick Reference: 6 Headline Types

The production system uses 6 deterministic headline types. Each angle maps to a default type via the decision tree below.

| Type | Formula | Best For |
|------|---------|----------|
| Bold Call-Out | Short, dominant statement asserting a benefit (3-8 words) | Benefit Hero, warm audiences |
| Statistic- Mechanism | [Specific number]. [How it works]. | Feature Spotlight, proof-heavy angles |
| Comparison/Versus | [Failed solution] -  [Your remedy] | Differentiation, audiences who've tried alternatives |
| Customer Quote | Verbatim line from actual customer review | Social Proof, authenticity |
| Question | Poses the reader's biggest worry as a question | Problem Solution, cold audiences |
| Offer/Price | [Exact discount/price] + [time/quantity limit] | Urgency Scarcity ONLY when price IS the value prop |

### Decision Tree: Angle -  Headline Type

| Angle | Default Type | Alternative | When to Switch |
|-------|-----------------------|-------------|----------------|
| Benefit Hero | Bold Call-Out | Statistic- Mechanism | Product has standout metric (hours, %, count) |
| Problem Solution | Question | Customer Quote | Strong review language available about the problem |
| Social Proof | Customer Quote | Bold Call-Out (first-person) | No strong verbatim quotes available |
| Urgency Scarcity | Offer/Price | Bold Call-Out | No real urgency triggers (avoid fake scarcity) |
| Feature Spotlight | Statistic- Mechanism | Comparison | Audience has tried alternatives (known from reviews) |

### Funnel-Stage Modifiers

| Stage | Angles | Tone |
|-------|--------|------|
| TOF (Top of Funnel) | Benefit Hero, Problem Solution | Curiosity, pattern-interrupt - don't sell, intrigue |
| MOF (Middle of Funnel) | Social Proof, Feature Spotlight | Credibility, mechanism - show proof, explain how |
| BOF (Bottom of Funnel) | Urgency Scarcity | Direct offer, mechanism - clear CTA, specific deal |

---

## Production Scoring Rubric (The Actual System We Use)

The production system scores headlines on 6 dimensions, not just type-specific criteria. This is the exact rubric used across 50+ Demand Gen accounts.

### Universal Scoring Rubric (100 points)

| Criteria | Points | What It Measures |
|----------|--------|-----------------|
| **3-Rule Filter** | 30 | Passes Visualizable + Falsifiable + Unique - binary 0 or 30 |
| **Relevance** | 20 | Does it speak to the angle's specific focus? (not generic) |
| **Clarity** | 15 | Understood in  2 seconds? No jargon, no ambiguity |
| **Proofability** | 15 | Can the claim be backed by real product data? |
| **Uniqueness** | 10 | Would this headline ONLY work for THIS product? |
| **Visual Synergy** | 10 | Does the headline complement (not duplicate) what the image shows? |

**The 3-Rule Filter is binary (0 or 30)**. If a headline fails any of the 3 rules, it scores 0 on this dimension, capping maximum at 70. Since the threshold is 70, a 3-Rule failure is an automatic kill.

### 3-Rule Filter Quick Reference

| Rule | Test |
|------|------|
| **Visualizable** | Can the reader instantly picture it in  0.5 seconds? |
| **Falsifiable** | Can someone prove this claim true or false? |
| **Unique** | Could only THIS brand say it? Swap in a competitor - does it still work? |

**Auto-fail banned phrases**: "premium", "best quality", "top rated", "amazing", "incredible", "experience excellence", "discover the difference", "best in class", "revolutionary", "innovative", "world-class", "industry-leading"

---

## Type-Specific Scoring Dimensions (Supplementary)

Use these alongside the universal rubric for deeper evaluation within each type.

### Bold Call-Out Scoring
| Dimension | 0-5 | 6-12 | 13-19 | 20-25 |
|-----------|-----|------|-------|-------|
| Benefit Clarity | Vague category | Named benefit | Specific improvement | Hyper-specific result |
| Emotional Punch | No feeling | Mild interest | Felt response | Visceral reaction |
| Audience Identification | Anyone | General group | Specific segment | "That's exactly me" |
| Brevity | 15+ words | 11-14 words | 8-10 words | Under 8 words |

### Statistic- Mechanism Scoring
| Dimension | 0-5 | 6-12 | 13-19 | 20-25 |
|-----------|-----|------|-------|-------|
| Number Specificity | Rounded/vague | Named metric | Exact verifiable number | Surprising + verifiable |
| Mechanism Clarity | No mechanism | Vague "how" | Clear mechanism | Instantly understood |
| Believability | Sounds inflated | Possible | Plausible | Credible without explanation |
| Memorability | Forgettable | Somewhat catchy | Sticky | Quotable |

### Comparison/Versus Scoring
| Dimension | 0-5 | 6-12 | 13-19 | 20-25 |
|-----------|-----|------|-------|-------|
| Comparison Clarity | Vague reference | Named category | Named alternative | Specific known product |
| Advantage Specificity | Vague | Named advantage | Quantified | Measured + proven |
| Fairness | Cheap shot | Biased | Balanced | Honest + generous |
| Value Perception | None | Slight | Clear savings | Obvious value gap |

### Customer Quote Scoring
| Dimension | 0-5 | 6-12 | 13-19 | 20-25 |
|-----------|-----|------|-------|-------|
| Authenticity | Sounds scripted | Somewhat real | Real person | Undeniably authentic |
| Transformation | No change | Mild improvement | Clear change | Dramatic + specific |
| Relatability | Niche | Some overlap | Many could relate | "That could be me" |
| Intrigue | Predictable | Mildly interesting | Want the story | Need the full story |

### Question Scoring
| Dimension | 0-5 | 6-12 | 13-19 | 20-25 |
|-----------|-----|------|-------|-------|
| Self-Identification | Generic question | Somewhat targeted | Specific audience | "I ask myself this" |
| Emotional Intensity | No feeling | Mild concern | Felt discomfort | Physical/emotional reaction |
| Answer Desire | Indifferent | Mild curiosity | "I want to know" | "I need to know" |
| Empathy | Accusatory | Neutral | Empathetic | Deeply understanding |

### Offer/Price Scoring
| Dimension | 0-5 | 6-12 | 13-19 | 20-25 |
|-----------|-----|------|-------|-------|
| Offer Specificity | "Great value" | Named discount | Exact price/percentage | Price comparison included |
| Urgency Legitimacy | Fake scarcity | Vague timeline | Specific deadline | Verifiable + specific |
| Value Perception | None | Slight | Clear savings | Obvious value gap |
| Action Clarity | Unclear what to do | General direction | Specific CTA | Irresistible CTA |

---

## Scoring Sheets (Photocopy-Ready)

### Sheet 1: Single Headline Score

```
HEADLINE: _______________________________________________
TYPE: [ ] Bold Call-Out    [ ] Statistic- Mechanism  [ ] Comparison/Versus
      [ ] Customer Quote   [ ] Question              [ ] Offer/Price

3-Rule Filter (binary - all 3 must pass):
  Visualizable [ ] Falsifiable [ ] Unique [ ]     Score: ___/30 (0 or 30)

Relevance to audience:     ___/20
Clarity of message:        ___/15
Proofability of claim:     ___/15
Uniqueness vs. category:   ___/10
Visual Synergy with image: ___/10

TOTAL: ___/100

VERDICT: [ ] PASS (70+) - Use in creative
         [ ] BORDERLINE (60-69) - Revise and re-score
         [ ] FAIL ( 60) - Kill immediately
```

### Sheet 2: Batch Scoring (10 Headlines)

| # | Headline | Type | 3-Rule (/30) | Relev (/20) | Clarity (/15) | Proof (/15) | Unique (/10) | Visual (/10) | Total | Pass? |
|---|----------|------|-------------|------------|--------------|------------|-------------|-------------|-------|-------|
| 1 | | | | | | | | | /100 | |
| 2 | | | | | | | | | /100 | |
| 3 | | | | | | | | | /100 | |
| 4 | | | | | | | | | /100 | |
| 5 | | | | | | | | | /100 | |
| 6 | | | | | | | | | /100 | |
| 7 | | | | | | | | | /100 | |
| 8 | | | | | | | | | /100 | |
| 9 | | | | | | | | | /100 | |
| 10 | | | | | | | | | /100 | |

**Passing headlines**: ___/10
**Kill rate**: ___%
**Target kill rate**: 50-60% (if everything passes, your standards are too low)

---

## Examples: 70+ vs Sub-70

Understanding why headlines score where they do is more valuable than the scores themselves. Study these breakdowns.

### Bold Call-Out Examples

**PASS - 82/100**: "Still staring at the ceiling at 2am?"
| Criteria | Score | Why |
|----------|-------|-----|
| 3-Rule Filter | 30/30 | Visualizable (2am ceiling), Falsifiable (specific time), Unique (specific behavior) |
| Relevance | 18/20 | Speaks directly to insomnia sufferers |
| Clarity | 14/15 | Understood instantly |
| Proofability | 10/15 | Experience-based, not data-based |
| Uniqueness | 5/10 | Could apply to several sleep products |
| Visual Synergy | 5/10 | Pairs well with dark bedroom imagery |

**FAIL - 45/100**: "Trouble sleeping?"
| Criteria | Score | Why |
|----------|-------|-----|
| 3-Rule Filter | 30/30 | Barely passes - visualizable but not falsifiable or unique |
| Relevance | 8/20 | Too generic to feel targeted |
| Clarity | 7/15 | Clear but says nothing |
| Proofability | 0/15 | No claim to prove |
| Uniqueness | 0/10 | Any sleep product could say this |
| Visual Synergy | 0/10 | Works with anything = works with nothing |

### Statistic- Mechanism Examples

**PASS - 78/100**: "Fall asleep in 11 minutes tonight"
- 3-Rule: 30 (visualizable + falsifiable + the "11 minutes" is specific enough to be unique)
- Relevance: 16, Clarity: 15, Proofability: 12, Uniqueness: 5, Visual Synergy: 0 (needs pairing)

**FAIL - 38/100**: "Better sleep starts here"
- 3-Rule: 0 (not visualizable, not falsifiable, not unique = 0 on the binary filter)
- Maximum possible score: 70. Contains banned-adjacent language. Kill immediately.

### Customer Quote Examples

**PASS - 85/100**: "47,000 women switched to this sunscreen"
- 3-Rule: 30 (specific number, falsifiable claim, product-specific)
- Relevance: 18, Clarity: 15, Proofability: 12, Uniqueness: 8, Visual Synergy: 2

**FAIL - 42/100**: "Thousands of happy customers"
- 3-Rule: 0 (not visualizable, "thousands" is vague, any brand could say it)
- This is the most common headline mistake - brands default to vague social proof

### Comparison/Versus Examples

**PASS - 76/100**: "Everything your $200 serum does. For $34."
- 3-Rule: 30 (visualizable price comparison, falsifiable prices, specific to this product's price point)
- Relevance: 16, Clarity: 13, Proofability: 12, Uniqueness: 3, Visual Synergy: 2

**FAIL - 35/100**: "Better than the competition"
- 3-Rule: 0 (nothing specific, nothing falsifiable, any brand claims this)
- This headline should never survive a first draft

### Question Examples

**PASS - 80/100**: "The ingredient dermatologists won't tell you about"
- 3-Rule: 30 (visualizable scenario, falsifiable claim about dermatologists, category-specific)
- Relevance: 18, Clarity: 12, Proofability: 10, Uniqueness: 5, Visual Synergy: 5

**FAIL - 40/100**: "Find out our secret"
- 3-Rule: 0 (not visualizable, not falsifiable, every brand has a "secret")
- Generic curiosity bait without substance

### Offer/Price Examples

**PASS - 77/100**: "Complete skincare routine. $34/month. Free shipping."
- 3-Rule: 30 (specific price, falsifiable, product-specific value proposition)
- Relevance: 15, Clarity: 14, Proofability: 13, Uniqueness: 3, Visual Synergy: 2

**FAIL - 36/100**: "Great prices on skincare"
- 3-Rule: 0 (not visualizable, not falsifiable, not unique)
- Contains near-banned vagueness. No anchor price, no specific deal

---

## Performance Tracking

Track which headline types perform best for YOUR brand:

| Week | Type Used | Top Performer | CTR | Score |
|------|----------|--------------|-----|-------|
| 1 | | | % | /100 |
| 2 | | | % | /100 |
| 3 | | | % | /100 |
| 4 | | | % | /100 |

**Pattern after 4 weeks**: Your best-performing type is likely _______________. Weight future batches 40% toward this type, 60% distributed across others.


# Aspect Ratio Guide: Demand Gen Image Specifications

**Standalone Value**: $47
**Purpose**: Complete specifications for all 4 required aspect ratios with safe zones, platform guidelines, and production workflow

---

## Required Aspect Ratios

| Ratio | Name | Dimensions | Placement | Priority |
|-------|------|-----------|-----------|----------|
| 1.91:1 | Landscape | 1200 x 628 px | Gmail, Discover feed | Required |
| 1:1 | Square | 1200 x 1200 px | YouTube, Discover, Gmail | Required |
| 4:5 | Portrait | 960 x 1200 px | YouTube Shorts, mobile feed | Required |
| 9:16 | Tall | 1080 x 1920 px | YouTube Shorts (full screen) | Optional |

**Asset limits per angle (Google Ads Demand Gen)**:
- Landscape images (1.91:1): 1-20 per asset group
- Square images (1:1): 1-20 per asset group
- Portrait images (4:5): 0-20 per asset group
- Shorts images (9:16): 0-5 per asset group

**Default generation**: 5 images per ratio x 4 ratios = 20 images per angle. With 4 angles = 80 total images.

**File requirements**:
- Format: PNG or JPG (also supports GIF, WebP, BMP, TIFF)
- Max file size: 5MB per image (Google allows up to 16MB but 5MB is practical max)
- Color space: sRGB
- Resolution: 72 DPI minimum (150 DPI recommended for quality)
- Minimum size: 100x100 pixels (250x250 for apparel products)
- Maximum size: 64 megapixels
- Restrictions: No watermarks, no promotional text baked into images, no placeholder images
- Product coverage: Product should fill 75%+ of the image frame for product-focused shots

---

## Safe Zones for Text Placement

### Landscape (1.91:1) - 1200 x 628

```
+--------------------------------------------------+
|  [20px margin all sides]                          |
|                                                    |
|  HEADLINE ZONE (top 35%)                          |
|  y: 20-220px                                      |
|  Best for: Primary text overlay                   |
|                                                    |
|  ------------------------------------------------ |
|                                                    |
|  PRODUCT/IMAGE ZONE (middle 35%)                  |
|  y: 220-440px                                     |
|  Best for: Product or scene imagery               |
|                                                    |
|  ------------------------------------------------ |
|                                                    |
|  CTA ZONE (bottom 30%)                            |
|  y: 440-608px                                     |
|  Best for: CTA button, logo, micro-copy           |
|                                                    |
+--------------------------------------------------+
```

**Platform-specific notes**:
- Gmail: Full image visible, no cropping
- Discover: May crop 5-10% from edges on some devices
- Keep critical text 40px from edges

### Square (1:1) - 1200 x 1200

```
+----------------------------------+
|  [20px margin]                    |
|                                    |
|  HEADLINE ZONE (top 30%)          |
|  y: 20-360px                      |
|                                    |
|  -------------------------------- |
|                                    |
|  PRODUCT ZONE (middle 40%)        |
|  y: 360-840px                     |
|                                    |
|  -------------------------------- |
|                                    |
|  CTA ZONE (bottom 30%)            |
|  y: 840-1180px                    |
|  Logo: bottom-right corner        |
|                                    |
+----------------------------------+
```

**Platform-specific notes**:
- Most versatile format - renders well across all placements
- YouTube: Appears in feed alongside video thumbnails
- Design master in square first, adapt to other ratios

### Portrait (4:5) - 960 x 1200

```
+---------------------------+
|  [20px margin]             |
|                             |
|  HEADLINE ZONE (top 25%)   |
|  y: 20-300px               |
|                             |
|  ------------------------- |
|                             |
|  PRODUCT ZONE (middle 45%) |
|  y: 300-840px              |
|  More vertical space for   |
|  product/scene imagery     |
|                             |
|  ------------------------- |
|                             |
|  CTA ZONE (bottom 30%)     |
|  y: 840-1180px             |
|  Larger CTA button area    |
|                             |
+---------------------------+
```

**Platform-specific notes**:
- Ideal for mobile-first viewing
- More screen real estate for emotional imagery
- CTA naturally falls where thumb rests

### Tall (9:16) - 1080 x 1920

```
+------------------------+
|  [20px margin]          |
|                          |
|  HEADLINE ZONE (top 20%)|
|  y: 20-384px            |
|                          |
|  ---------------------- |
|                          |
|  STORY ZONE (50%)       |
|  y: 384-1344px          |
|  Full-screen immersive  |
|  imagery space           |
|                          |
|  ---------------------- |
|                          |
|  CTA ZONE (bottom 30%)  |
|  y: 1344-1900px         |
|  Large CTA area          |
|  Swipe-up zone           |
|                          |
+------------------------+
```

**Platform-specific notes**:
- YouTube Shorts full-screen format
- Most immersive ratio - use for strongest visuals
- Bottom 15% may be obscured by platform UI - keep CTA above y:1700

---

## Text Overlay Specifications

### Font Size Guidelines

| Element | Landscape | Square | Portrait | Tall |
|---------|-----------|--------|----------|------|
| Headline | 36-48px | 42-56px | 38-50px | 44-58px |
| Sub-text | 24-32px | 28-36px | 26-34px | 30-38px |
| CTA button text | 20-28px | 24-32px | 22-30px | 26-34px |
| Micro-copy | 16-20px | 18-24px | 16-22px | 20-26px |

### Contrast Requirements

Text must be readable against any background. Use one of these methods:

**Method 1: Solid overlay bar**
- Semi-transparent black (70-80% opacity) rectangle behind text
- 10-15px padding around text
- Rounded corners optional (4-8px radius)

**Method 2: Drop shadow**
- 2px offset, 4px blur, black at 60% opacity
- Works on simple backgrounds only
- Not recommended for busy/detailed images

**Method 3: Gradient overlay**
- Top-to-bottom gradient: transparent to 70% black
- Apply to bottom 40% of image for CTA zone
- Clean look for dark text on light images

**Method 4: Dedicated text zone**
- Design image with intentional blank space for text
- Solid color background in text area
- Cleanest look, requires design planning

### Word Count Limits

| Element | Max Words | Max Characters |
|---------|-----------|----------------|
| Primary headline | 8 | 45 |
| Secondary text | 12 | 70 |
| CTA button | 3 | 20 |
| Micro-copy | 6 | 35 |

---

## Production Workflow: Single Master to 4 Ratios

### The Square-First Method (Recommended Default)

**Why square first**: Square is the most versatile ratio - it renders well across YouTube, Discover, and Gmail. Landscape crops the top/bottom (losing vertical content), and portrait crops the sides (losing horizontal context). Starting with square means your core composition survives every adaptation. Designing each ratio independently takes 3x longer and produces inconsistent creative.

Design your master image in square (1:1) format, then adapt.

**Step 1: Design in square (1200 x 1200)**
- Place product/subject in the center 60% of the frame
- Leave breathing room on all sides
- Add text overlays in designated zones
- This is your "hero" version

**Step 2: Adapt to landscape (1200 x 628)**
- Crop top and bottom of square
- Reposition text overlay to fit new headline zone
- May need to reposition product slightly
- Check: is the main subject still centered and clear?

**Step 3: Adapt to portrait (960 x 1200)**
- Crop sides of square slightly (960 vs 1200 width)
- Extend vertical space if possible (add background)
- Text overlays get more vertical breathing room
- CTA zone is larger - take advantage

**Step 4: Adapt to tall (1080 x 1920) - optional**
- Requires significant vertical extension
- Add background above and below the square content
- Use gradient or solid color extensions
- Most immersive - strongest visuals go here

### Time Estimate

| Approach | Time per Image | Time for 20 Images |
|----------|---------------|-------------------|
| Design each ratio independently | 45-60 min | 15-20 hours |
| Square-first adaptation method | 15-20 min | 5-7 hours |
| **Time saved** | **30-40 min** | **10-13 hours** |

---

## File Naming Convention

```
[brand]-[angle]-[image]-[ratio].[ext]

Examples:
acme-a1-img01-landscape.png
acme-a1-img01-square.png
acme-a1-img01-portrait.png
acme-a1-img01-tall.png
acme-a2-img01-landscape.png
...
```

**Angle codes**: a1, a2, a3, a4
**Image codes**: img01-img05 (per angle)
**Ratio codes**: landscape, square, portrait, tall

Total files for a complete 20-image set across 3 required ratios: **60 files**
Total files including optional tall ratio: **80 files**

---

## Pre-Upload Checklist

Before uploading to Google Ads:

```
For each image file:
[ ] Correct dimensions for stated ratio
[ ] File size under 5MB
[ ] Text readable at mobile size (zoom to 50%)
[ ] No text in bottom 15% for tall ratio (platform UI overlap)
[ ] Brand logo visible but not dominant
[ ] Cooper Framework 5/5 pass
[ ] Headline score 70+
[ ] Consistent visual style across all 20 images
[ ] File naming follows convention
```

**Batch upload order**: Upload all 20 images for one angle first, verify rendering, then proceed to next angle. This lets you catch formatting issues before uploading the full set.


# How to Use AI Tools With This System

**Standalone Value**: $47
**Works with**: ChatGPT (GPT-4o), Claude, Gemini, Midjourney, DALL-E 3, Stable Diffusion, Canva AI

---

## When AI Helps vs. When It Hurts

AI accelerates execution of the D.R.I.V.E. Creative System. It does not replace the thinking behind it.

**AI is strong at**: generating prompt variations, converting features to feelings, scoring headlines against rubrics, assembling structured briefs from your inputs, producing image drafts from detailed specifications.

**AI is weak at**: extracting genuine customer language (it invents plausible-sounding phrases instead of finding real ones), judging emotional authenticity (it can't feel), and knowing your product's actual data (it will fabricate numbers if you don't provide them).

**The rule**: You supply the truth (real customer language, real product data, real competitive context). AI supplies the volume (variations, scoring, formatting, image generation).

---

## Workflow 1: Emotional Truth Extraction

**Module reference**: Module 3 (Emotional Copy Framework) + Module 4 (Headline Types)
**Best tool**: ChatGPT or Claude
**Time saved**: ~30 minutes per product

You still need to answer the 5 Emotional Truth questions yourself. AI can't do this step because it requires real customer research. But AI can help you structure and pressure-test your answers.

### The Prompt

```
I'm building Demand Gen creative for [PRODUCT NAME] at [PRICE POINT].
My target audience is [SPECIFIC PERSON DESCRIPTION].

Here are my Emotional Truth answers:

1. ONE SPECIFIC PERSON: [Your answer]
2. HUMAN DESIRE (not product benefit): [Your answer]
3. DEEPER PAIN (not surface problem): [Your answer]
4. CUSTOMER LANGUAGE (exact phrases from reviews/forums): [Your answer - paste 5-10 real phrases]
5. CORE FEELING (one emotion): [Your answer]

Pressure-test these answers:
- Does #2 describe what they want in LIFE, not what the product does?
- Does #3 go deeper than the obvious problem?
- Are the phrases in #4 things a real person would say out loud?
- Is #5 specific enough? ("frustrated" is vague. "frustrated bordering on resignation after trying 6 alternatives" is specific.)

Give me feedback on each answer and suggest how to sharpen any that are too surface-level.
```

### What to Do With the Output

AI feedback is a thinking tool, not a final answer. If it suggests sharper language for #3 or #5, check whether that language actually matches your customer research. Don't adopt AI-generated "customer language" unless you've seen those exact patterns in real reviews.

---

## Workflow 2: Feature-to-Feeling Conversion

**Module reference**: Module 3 (People Not Products principle)
**Best tool**: ChatGPT or Claude
**Time saved**: ~20 minutes per product

This workflow converts your product's feature list into emotionally resonant copy angles using the People Not Products principle from Module 3.

### The Prompt

```
I need to convert product features into human experiences using the "People Not Products" principle.

The rule: Copy should describe a PERSON'S experience, not a product's features. Lead with the emotion, support with the mechanism. A 5-year-old should understand the feeling.

Here are my product features:
1. [Feature 1]
2. [Feature 2]
3. [Feature 3]
4. [Feature 4]
5. [Feature 5]

For each feature, give me:
- The HUMAN EXPERIENCE it enables (what changes in someone's day?)
- The CORE EMOTION it triggers
- A "5-Year-Old Version" (simple language a child would understand)

Example of what I want:
Feature: "40-hour battery life"
Human Experience: "Charge on Sunday, forget about it until next weekend"
Core Emotion: Relief from daily charging anxiety
5-Year-Old Version: "You don't have to plug it in every night"

Do NOT use these words: experience, discover, unlock, elevate, transform, unleash, empower, embrace, premium, exceptional, innovative, cutting-edge.
```

### Quality Gate

Check every output against the Emotional Copy Validation Checklist from Module 3:
1. Would a 5-year-old understand the feeling?
2. Does it use words real customers would say?
3. Does it lead with emotion, not features?
4. Could the reader say this about themselves?
5. Would you stop scrolling to read this?

4 out of 5 must pass. If 3+ fail, discard and rewrite manually.

---

## Workflow 3: Headline Generation + Scoring

**Module reference**: Module 4 (Headline Types + 100-Point Rubric)
**Best tool**: ChatGPT or Claude
**Time saved**: ~45 minutes per angle

This is where AI volume saves the most time. You need 5 short headlines + 1 long headline per angle. AI can generate 15 candidates so you can score and select the top 5.

### Step 1: Generate Candidates

```
I need Demand Gen ad headlines for a [ANGLE TYPE] angle.

Angle: [Problem-Emotional / Problem-Rational / Outcome-Emotional / Outcome-Rational]
Product: [PRODUCT NAME]
Headline type to use: [Bold Call-Out / Statistic-Mechanism / Comparison / Customer Quote / Question / Offer-Price]

My Emotional Truth:
- Target person: [From Workflow 1, answer #1]
- Deeper pain: [From Workflow 1, answer #3]
- Customer language: [From Workflow 1, answer #4 - paste exact phrases]
- Core feeling: [From Workflow 1, answer #5]

Rules:
- 15 short headline candidates (3-8 words each)
- 3 long headline candidates (up to 90 characters)
- Use the customer language phrases I provided — at least 5 of 15 should incorporate real customer words
- Short headlines must use the [HEADLINE TYPE] formula
- Long headlines should use Emotional Contradiction: "[Positive thing] + [Negative reality]"
- BANNED words: experience, discover, unlock, elevate, transform, unleash, empower, embrace, premium, exceptional, innovative, cutting-edge, state-of-the-art, world-class, game-changing, next-level
- BANNED phrases: "your journey to", "take your X to the next level", "everything you need", "the perfect solution", "designed for you", "the ultimate", "redefine your"
- No em dashes as clause connectors (use periods or commas)
- No exclamation marks
- No ellipsis for dramatic effect
```

### Step 2: Score Each Candidate

```
Score each of these headline candidates on this 100-point rubric:

| Criteria | Points | What It Measures |
|----------|--------|-----------------|
| Filter | 30 | Visualizable (can you picture it?) + Falsifiable (could it be proven wrong?) + Unique (only works for this product?) — all 3 must pass for 30 points, else 0 |
| Relevance | 20 | Does it speak to the angle's specific focus? |
| Clarity | 15 | Understood in under 2 seconds? No jargon? |
| Proofability | 15 | Can the claim be backed by real product data? |
| Uniqueness | 10 | Would this headline ONLY work for THIS product? |
| Visual Synergy | 10 | Does it complement (not duplicate) what an image would show? |

Threshold: 70 or above to keep. Show me the score breakdown for each headline, then list the top 5 short and top 1 long that score 70+.

Here are the headlines to score:
[Paste the 15 short + 3 long from Step 1]
```

### What to Watch For

AI tends to score its own headlines generously. Apply your own judgment on the Filter criterion (30 points, all-or-nothing). If a headline isn't visualizable, falsifiable, AND unique, it gets 0 on Filter regardless of what the AI says.

---

## Workflow 4: Creative Brief Assembly

**Module reference**: Module 7 (Multi-Angle Architecture, 4x5 system)
**Best tool**: ChatGPT or Claude
**Time saved**: ~60 minutes per product

After you've completed the emotional truth extraction, selected your 4 angles, and chosen creative patterns, AI can assemble the structured brief.

### The Prompt

```
Assemble a complete Demand Gen creative brief for my product using the 4x5 system (4 angles, 5 images each, 20 total).

PRODUCT: [Product name]
CATEGORY: [Product category]
PRICE: $[Price]
TARGET AUDIENCE: [Specific person from Emotional Truth #1]

MY 4 ANGLES:
1. [Angle name] — Type: [Problem-Emotional/etc] — Pattern: [F1/L1/etc] — Temperature: [cold/warm/hot]
2. [Angle name] — Type: [Problem-Emotional/etc] — Pattern: [F1/L1/etc] — Temperature: [cold/warm/hot]
3. [Angle name] — Type: [Problem-Emotional/etc] — Pattern: [F1/L1/etc] — Temperature: [cold/warm/hot]
4. [Angle name] — Type: [Problem-Emotional/etc] — Pattern: [F1/L1/etc] — Temperature: [cold/warm/hot]

MY WINNING HEADLINES (scored 70+ from Workflow 3):
Angle 1: [5 short + 1 long]
Angle 2: [5 short + 1 long]
Angle 3: [5 short + 1 long]
Angle 4: [5 short + 1 long]

For each of the 20 images, output:
- Angle # and name
- Image # (1-5) and emotional journey stage (Recognition/Hope/Belief/Desire/Action)
- Which headline to pair with this image
- Scene description (what the image shows)
- DR Principle to emphasize (from Module 1: Specificity, Visceral Language, Pattern Interrupt, Social Proof, Scarcity, Story, Contrast, Identity)
- Text overlay recommendation (which area: top third, middle, bottom third)
- Cooper Framework compliance note (text blocks  = 4, message passes 7-word test)
```

### Important

Review every image specification against the Cooper Framework 5-Principle Checklist (Bonus 3). AI will produce plausible-sounding briefs that violate Cooper principles if you don't check. The most common violations: too many text blocks (Cooper says max 4), message fails the 7-word test, and visual hierarchy inverted (text competing with product).

---

## Workflow 5: Image Prompt Building

**Module reference**: Module 7 (Text Overlay Generation) + Bonus 1 (AI Image Prompt Library)
**Best tool**: Gemini Pro for generation, ChatGPT/Claude for prompt writing
**Time saved**: ~90 minutes per 20-image set

This workflow turns your creative brief into AI image generation prompts using the 7-Section Prompt Structure from Bonus 1.

### The Prompt (for writing image prompts)

```
Convert this image specification into a complete AI image generation prompt using the 7-Section structure.

IMAGE SPECIFICATION:
- Angle: [From brief]
- Journey stage: [Recognition/Hope/Belief/Desire/Action]
- Scene description: [From brief]
- Product: [Product name + key visual details]
- Target emotion: [From emotional truth]
- Pattern: [F1/L1/etc from brief]

Write the prompt with ALL 7 SECTIONS:

1. SCENE COMPOSITION: Composition type, camera angle, framing, depth of field, focal length
2. LIGHTING: Source, direction, quality, temperature (in Kelvin), specials
3. COLOR PSYCHOLOGY: Palette intention + specific hex codes or descriptions
4. PRODUCT TREATMENT: Scale, orientation, surface, branding, context props
5. PERSON DIRECTION (if applicable): Interaction, expression, gaze, posture, demographics
6. ENVIRONMENT: Setting, time, weather/season, atmosphere, background treatment
7. STYLE   TECHNICAL: Photography style, post-processing, resolution, restrictions

Rules:
- Positive-only language (describe what you WANT, never "don't" or "avoid")
- Product must fill 40-50% of frame when it's the hero
- Mobile safety zones: keep key elements in center 70% horizontal, center 75% vertical
- End with "RESTRICTIONS: No text overlays, no watermarks, no artificial elements"
```

### Tool-Specific Notes

| Tool | Best For | Tip |
|------|----------|-----|
| Gemini Pro | Product shots with accurate branding | Provide a reference product image alongside the text prompt |
| Midjourney | Lifestyle and atmospheric scenes | Add `--ar 1:1` or `--ar 4:5` for Demand Gen aspect ratios |
| DALL-E 3 | Quick concept drafts | Tends to add text to images — explicitly state "no text in image" |
| Stable Diffusion | Batch generation of variants | Use ControlNet for consistent product placement across 20 images |
| Canva AI | Quick edits and text overlay | Best for adding overlays to AI-generated base images |

### Prompt Anti-Patterns

These produce generic "AI-slop" results:

| Don't Say | Say Instead |
|-----------|------------|
| "Beautiful product photo" | "3/4 angle, shallow depth of field f/2.8, product fills 45% of frame" |
| "Professional lighting" | "Soft window light from left at 45 degrees, warm 4000K, subtle rim light" |
| "Nice background" | "Modern kitchen counter, white marble, morning light, organized props" |
| "High quality" | "Commercial photography style, sharp product details, 4K resolution" |
| "A person using the product" | "Woman 30-35, genuine satisfaction expression, holding product at chest level, relaxed posture, looking slightly off-camera" |

---

## Workflow 6: Text Overlay Copy

**Module reference**: Module 7 (Text Overlay Generation, 5-step process)
**Best tool**: ChatGPT or Claude
**Time saved**: ~30 minutes per 20-image set

After your images are generated, every image needs text overlay copy. This follows the 5-step process from Module 7.

### The Prompt

```
Write text overlay copy for [NUMBER] Demand Gen images.

For each image I'll give you: the angle, journey stage, headline, and scene description.

Rules for EVERY overlay:
1. Identify the most relevant DR Principle (Specificity, Visceral Language, Pattern Interrupt, Social Proof, Scarcity, Story, Contrast, or Identity)
2. Use the Emotional Copy Framework: People Not Products, Feelings Not Features, 5-Year-Old Test
3. Apply customer language: [paste your 5-10 customer phrases from Emotional Truth extraction]
4. Score against the 100-point rubric. Kill anything below 70.
5. Cooper Framework compliance: maximum 4 text blocks per image, message passes 7-word test (can you say the core message in 7 words?), readable at 200px thumbnail size

BANNED: em dashes as connectors, exclamation marks, ellipsis, "experience", "discover", "unlock", "elevate", "transform", "premium", "exceptional", "innovative"

Output format for each image:
- Primary text (headline area, top third): [X words]
- Supporting text (middle or bottom third): [X words]
- CTA text (bottom, if Action stage): [X words]
- DR Principle used: [Which one]
- 7-word test: [Core message in 7 words]
- Rubric score: [XX/100]

Here are my images:
[List each image with angle, stage, headline, and scene description]
```

---

## Workflow 7: Anti-AI Copy Cleaning

**Module reference**: All copy outputs
**Best tool**: Manual review first, then Claude for pattern detection
**Time saved**: ~15 minutes per review pass

Every piece of copy that AI helped generate needs to pass through the Anti-AI Copy Protocol. AI-generated copy has structural tells that make ads look and feel like ads, which kills engagement.

### Structural Tells to Catch (Auto-Fail)

| Pattern | Why It's AI | Fix |
|---------|------------|-----|
| Em dash (--) as connector | LLMs default to em dashes for clause joining | Replace with period or comma |
| 3+ nouns with no verb | LLMs pack keywords without grammar | Rewrite with complete grammar |
| More than 1 exclamation mark per description | LLMs add enthusiasm artificially | Max 1 per description |
| Ellipsis (...) for dramatic effect | LLM pacing pattern | Remove or restructure |
| Perfectly parallel structure across all variants | LLMs produce unnaturally consistent formatting | Vary structure deliberately |
| Identical sentence length across descriptions | LLMs normalize length | Mix short and long sentences |

### The Cleaning Prompt

```
Review the following ad copy for AI-generated patterns. Flag and fix any of these:

STRUCTURAL (auto-fail):
- Em dashes used as clause connectors (replace with . or ,)
- Word-salad headlines (3+ nouns, no verb/preposition)
- More than 1 exclamation mark per piece
- Ellipsis for dramatic effect
- Perfectly parallel structure across all variants
- Identical sentence lengths

SEMANTIC (flag for manual review):
- Any of these banned verbs used as generic openers: experience, discover, unlock, elevate, revolutionize, transform, unleash, empower, embrace, explore
- Any of these banned adjectives without evidence: premium, exceptional, unparalleled, innovative, cutting-edge, state-of-the-art, world-class, game-changing, next-level
- Any banned phrases: "your journey to", "take your X to the next level", "everything you need", "the perfect solution", "designed for you", "made with love", "crafted with care", "your go-to", "the ultimate", "redefine your"

For each flagged item, show:
1. The original text
2. What pattern was detected
3. A rewritten version that sounds like a real person wrote it

Here is the copy to review:
[Paste all headlines, descriptions, and text overlays]
```

### Final Manual Pass

After AI cleaning, read every piece of copy out loud. If any line sounds like it came from a corporate brochure or a LinkedIn post, rewrite it. The test: would a customer text this exact phrase to a friend? If not, it's still too AI.

---

## Quick Reference: Which Tool for Which Step

| D.R.I.V.E. Step | System Module | AI Tool | What AI Does | What You Do |
|------------------|---------------|---------|-------------|-------------|
| **D** - Diagnose | Module 1 (8 DR Principles) | None | N/A | Score your existing creative against the 8 principles manually |
| **R** - Research | Module 3 (Emotional Truth) | ChatGPT/Claude | Pressure-test your answers | Extract real customer language from reviews and forums |
| **I** - Ideate | Module 4 (Headlines) + Module 5 (Cooper) | ChatGPT/Claude | Generate 15 headline candidates per angle, score against rubric | Select headline type, provide customer language, final selection |
| **V** - Validate | Module 5 (Cooper Framework) | ChatGPT/Claude | Check Cooper compliance on brief | Final sign-off on every image spec |
| **E** - Execute | Module 7 (Multi-Angle) | Gemini/Midjourney/DALL-E + ChatGPT/Claude | Generate images from prompts, write text overlays | Build 7-section prompts, review outputs, apply anti-AI protocol |

---

## Cost Optimization

Running the full D.R.I.V.E. workflow with AI tools costs between $2-15 per 20-image creative set, depending on your tools.

| Step | Tool | Approximate Cost |
|------|------|-----------------|
| Emotional Truth pressure-test | ChatGPT Free or Claude Free | $0 |
| Feature-to-Feeling conversion | ChatGPT Free or Claude Free | $0 |
| Headline generation + scoring (4 angles) | ChatGPT Plus or Claude Pro | $0.50-1.00 in token costs (or included in subscription) |
| Creative brief assembly | ChatGPT Plus or Claude Pro | $0.25-0.50 |
| Image prompt writing (20 prompts) | ChatGPT Plus or Claude Pro | $0.25-0.50 |
| Image generation (20 images) | Midjourney ($10/mo) or DALL-E 3 ($0.04-0.08/image) | $0.80-1.60 |
| Text overlay copy | ChatGPT Plus or Claude Pro | $0.25-0.50 |
| Anti-AI copy cleaning | Claude Pro (best at pattern detection) | $0.10-0.25 |

**Total per 20-image set**: $2.15-4.35 with subscriptions, up to $15 with pay-per-use pricing.

**Compare to**: Hiring a creative agency for 20 Demand Gen images typically costs $2,000-5,000. Even with the D.R.I.V.E. system and AI tools at full pay-per-use pricing, you're at less than 1% of agency cost with a more systematic, framework-driven output.

**Tip**: Batch your workflow. Run all 4 angles through headline generation in one session, all 20 image prompts in one session, and all text overlays in one session. This reduces context-switching and keeps the AI tool's context window loaded with your product specifics.


# 7-Layer Angle Scoring Cheat Sheet

**Product**: Google Ads Audience   Angle Intelligence
**Purpose**: Quick-reference scoring guide for the 7-Layer Angle System. Print this and keep it next to your monitor during angle explosion and campaign architecture work.

---

## The 7 Layers at a Glance

| Layer | Name | Funnel | Budget % | Bid Modifier | Landing Page | Target Angles |
|-------|------|--------|----------|-------------|-------------|---------------|
| 1 | Core Commercial | BOFU | 40% | 1.2x | Product Detail Page | 30-50 |
| 2 | Specificity | BOFU | 25% | 1.1x | Filtered Category Page | 80-150 |
| 3 | Competitor Capture | MOFU | 15% | 1.0x | Comparison Landing Page | 40-80 |
| 4 | Seasonal/Temporal | MOFU | 8% | 1.0x | Seasonal Collection Page | 30-60 |
| 5 | Persona | MOFU | 5% | 0.9x | Persona-Specific Page | 50-100 |
| 6 | Discovery | TOFU | 3% | 0.7x | Educational/Blog Content | 80-120 |
| 7 | Shopping Micro-Intent | BOFU | 4% | 1.3x | Product Page + Trust Signals | 70-120 |
| **Total** | | | **100%** | | | **380-620** |

---

## Layer Details

### Layer 1: Core Commercial (BOFU - 40% Budget)

**What it captures**: Direct product searches. The keywords every competitor targets.

**Keyword signals**: Product type + brand name, category terms, exact product matches

**Examples**: "memory foam pillow," "protein powder," "running shoes"

**Campaign type**: Shopping, PMax

**ROAS target**: 3.0x+

**Why it matters**: Highest intent, highest conversion rate. This is your revenue foundation.

---

### Layer 2: Specificity (BOFU - 25% Budget)

**What it captures**: Long-tail product searches with attribute modifiers.

**Keyword signals**: Color, size, material, style, specification added to product terms

**Examples**: "navy blue memory foam pillow queen size," "organic vegan protein powder chocolate"

**Campaign type**: Shopping (automatic), Search (long-tail)

**ROAS target**: 2.5x+

**Why it matters**: Lower CPC than Layer 1. Higher purchase intent (specific = ready to buy). Less competition per term.

---

### Layer 3: Competitor Capture (MOFU - 15% Budget)

**What it captures**: Shoppers comparing your product to competitors.

**Keyword signals**: "vs," "alternative," "compared to," "better than," competitor brand names

**Examples**: "casper vs purple pillow," "best protein powder brand," "optimum nutrition alternative"

**Campaign type**: Search

**ROAS target**: 1.5x+

**Why it matters**: High-intent comparison shoppers. They've already decided to buy - they're choosing who to buy from. Your opportunity to intercept.

---

### Layer 4: Seasonal/Temporal (MOFU - 8% Budget)

**What it captures**: Time-bound search demand spikes.

**Keyword signals**: Season names, holidays, events, "2026," "new," "spring," "back to school"

**Examples**: "christmas gift pillow," "spring collection running shoes," "black friday protein deals"

**Campaign type**: Search, Shopping (seasonal labels)

**ROAS target**: 2.0x+ (peak periods)

**Why it matters**: Seasonal windows have 2-5x baseline ROAS. Miss the window and you miss the revenue entirely. Plan 30 days ahead.

---

### Layer 5: Persona (MOFU - 5% Budget)

**What it captures**: Demographic and use-case specific searches.

**Keyword signals**: "for [demographic]," "for [use case]," age groups, occupations, activities

**Examples**: "pillow for side sleepers," "protein powder for women over 40," "running shoes for flat feet"

**Campaign type**: Search, Demand Gen

**ROAS target**: 1.5x+

**Why it matters**: Hidden audiences you never thought to target. The fashion brand that discovered gift-givers (women buying men's clothing) got 3.2x ROAS from an audience they didn't know existed.

---

### Layer 6: Discovery (TOFU - 3% Budget)

**What it captures**: Problem-aware searchers who don't know your product category yet.

**Keyword signals**: "how to," "why," "what causes," "fix," "help with," "tips for"

**Examples**: "how to fix neck pain while sleeping," "why does my protein shake taste bad," "best way to start running"

**Campaign type**: Search (broad/phrase), Demand Gen

**ROAS target**: 0.8x+ (acceptable for top-of-funnel)

**Why it matters**: Feeds your remarketing funnel. TOFU visitors who return via BOFU campaigns convert at 2-3x cold traffic rates. Small budget, long-term compounding.

**Critical**: Set up BOFU exclusion keywords BEFORE launching Layer 6.

---

### Layer 7: Shopping Micro-Intent (BOFU - 4% Budget)

**What it captures**: Ultra-high-intent shopping modifier searches.

**Keyword signals**: Tier 1 modifiers (buy, shop, price, sale, discount, deal, order, purchase, cost, pricing) combined with product terms

**Examples**: "buy memory foam pillow online," "protein powder price comparison," "running shoes on sale"

**Campaign type**: Shopping, PMax

**ROAS target**: 3.5x+ (highest intent layer)

**Why it matters**: These searchers are ready to purchase right now. Layer 7 captures the buying moment with maximum precision.

---

## Angle Scoring Formula

Score each angle pocket using this formula to prioritize campaign deployment:

```
Angle Score = (Total SV x Avg CPC x Shopping Viability x (1 / Competition)) x Layer Weight
```

| Shopping Viability | Score |
|-------------------|-------|
| HIGH (Tier 1 modifier + SV  = 1,000 + Shopping SERP) | 1.0 |
| MEDIUM (Tier 2 modifier + SV 500-999) | 0.6 |
| OPPORTUNITY (Tier 3 modifier + SV 100-499) | 0.3 |
| ORGANIC_ONLY (no modifier + informational) | 0.0 |

| Layer Weight | Modifier |
|-------------|----------|
| Layer 1 (Core Commercial) | 1.5x |
| Layer 7 (Shopping Micro-Intent) | 1.4x |
| Layer 2 (Specificity) | 1.2x |
| Layer 3 (Competitor Capture) | 1.0x |
| Layer 4 (Seasonal) | 0.9x |
| Layer 5 (Persona) | 0.8x |
| Layer 6 (Discovery) | 0.5x |

---

## Angle Tiering

After scoring all angles, tier them:

| Tier | Criteria | Action |
|------|----------|--------|
| **A** | Top 20% by score | Standalone campaign per angle |
| **B** | Middle 40% | Merge 2-3 related angles into one campaign |
| **C** | Bottom 40% | Monitor list - revisit quarterly |

**Target**: 15-25 actionable campaign segments after tiering and merging.

---

## Funnel Disambiguation Quick Rules

When a keyword could belong to multiple funnel stages, use this priority order:

1. **BOFU wins** if: contains Tier 1 shopping modifier, contains brand/product name, OR (CPC  = $0.50 AND competition == HIGH)
2. **TOFU next** if: contains "how to," "why," "what causes," "guide," "tips for," "fix," "solve," "help with"
3. **MOFU default** if: contains "best," "top," "vs," "compare," "alternative," "review," "rated"
4. **Fallback**: Product-type keywords default to BOFU

---

## 4-Stage Deployment Protocol

| Stage | Timing | Layers | Budget Split | Advancement Criteria |
|-------|--------|--------|-------------|---------------------|
| 1 | Weeks 1-2 | L1 + L7 | 100% BOFU | 14+ days, 20+ conversions, ROAS 3.0x+, variance   30% |
| 2 | Weeks 3-4 | + L3 | 70% BOFU / 30% MOFU | 14+ days, 50+ total conv, MOFU ROAS   1.5x |
| 3 | Weeks 5-6 | + L6 | 55% BOFU / 30% MOFU / 15% TOFU | 14+ days, TOFU ROAS   0.8x, BOFU bleed   15% |
| 4 | Week 7+ | + L2, L4, L5 | 45% BOFU / 30% MOFU / 25% TOFU | Scale 10-20% weekly on validated campaigns |

---

## Campaign Naming Convention

```
{FUNNEL}_{LAYER}_{intent_description}
```

Examples:
- `BOFU_L1_memory_foam_pillow`
- `BOFU_L2_navy_queen_pillow`
- `MOFU_L3_best_pillow_comparison`
- `MOFU_L4_spring_pillow_sale`
- `MOFU_L5_pillow_side_sleepers`
- `TOFU_L6_neck_pain_relief`
- `BOFU_L7_buy_pillow_online`

---

*From: Google Ads Audience   Angle Intelligence*
*The A.N.G.L.E. Protocol*


# BOFU Bleed Detection   Prevention Checklist

**Product**: Google Ads Audience   Angle Intelligence
**Purpose**: Prevent BOFU search terms from appearing in your MOFU/TOFU campaigns, wasting budget on traffic that should convert through higher-ROAS campaigns.

---

## What is BOFU Bleed?

When you run multiple funnel stages simultaneously, BOFU search terms (ready-to-buy queries) can trigger your lower-intent campaigns. You end up paying TOFU-level bids for traffic that should be in your high-converting BOFU campaigns.

**Example**: A search for "buy protein powder" triggers your TOFU campaign about "how to build muscle" instead of your BOFU Shopping campaign. You're paying for the click, but the landing page is wrong, the bid is wrong, and the conversion rate drops.

**Threshold**: If more than 15% of your TOFU/MOFU campaign's search terms contain BOFU signals, you have a bleed problem.

---

## Pre-Launch Prevention Checklist

Complete this BEFORE launching any MOFU or TOFU campaigns.

### Step 1: Build BOFU Exclusion List

- [ ] Export all keywords from your BOFU campaigns (Layer 1 + Layer 7)
- [ ] Add all product names (exact match)
- [ ] Add all brand terms (exact match)
- [ ] Add all Tier 1 shopping modifiers combined with your product terms:

| Modifier | Combined with your product | Add as negative? |
|----------|--------------------------|------------------|
| buy + [product] | _______________ | [ ] |
| shop + [product] | _______________ | [ ] |
| price + [product] | _______________ | [ ] |
| sale + [product] | _______________ | [ ] |
| discount + [product] | _______________ | [ ] |
| deal + [product] | _______________ | [ ] |
| order + [product] | _______________ | [ ] |
| purchase + [product] | _______________ | [ ] |
| cost + [product] | _______________ | [ ] |
| pricing + [product] | _______________ | [ ] |

- [ ] Add standalone Tier 1 modifiers as phrase-match negatives
- [ ] Minimum 20 exclusion keywords per MOFU/TOFU campaign
- [ ] Maximum 100 exclusion keywords (avoid over-restricting)

### Step 2: Apply Negatives

- [ ] Add BOFU exclusion list to every MOFU campaign as negative keywords
- [ ] Add BOFU exclusion list to every TOFU campaign as negative keywords
- [ ] Set match type: exact match for product terms, phrase match for modifiers
- [ ] Consider creating a shared negative keyword list (easier maintenance)

### Step 3: Verify Campaign Settings

- [ ] MOFU campaigns target MOFU keywords only (no broad match without negatives)
- [ ] TOFU campaigns target TOFU keywords only
- [ ] PMax campaigns have appropriate search theme exclusions
- [ ] Budget allocation matches deployment stage targets

---

## Weekly Bleed Detection Protocol

Run this every Monday morning. Takes 10-15 minutes.

### Step 1: Pull Search Term Reports

- [ ] Go to each MOFU campaign   Search Terms
- [ ] Go to each TOFU campaign   Search Terms
- [ ] Filter to last 7 days
- [ ] Sort by impressions (highest first)

### Step 2: Scan for BOFU Signals

Check each search term for these BOFU indicators:

**Tier 1 Shopping Modifiers** (immediate add as negative):
- [ ] buy, shop, purchase, order
- [ ] price, cost, pricing, how much
- [ ] sale, discount, deal, coupon, promo
- [ ] free shipping, fast delivery

**Product/Brand Terms** (immediate add as negative):
- [ ] Your brand name appearing in MOFU/TOFU campaigns
- [ ] Specific product names appearing in MOFU/TOFU campaigns
- [ ] SKU numbers or model numbers

**High-Intent Signals** (review case-by-case):
- [ ] "near me" or location-based terms
- [ ] "reviews" combined with product name (could be MOFU)
- [ ] "[brand] vs [competitor]" (belongs in Layer 3, not TOFU)

### Step 3: Calculate Bleed Percentage

```
Bleed % = (BOFU search terms in MOFU/TOFU campaign) / (Total search terms) x 100
```

| Bleed % | Status | Action |
|---------|--------|--------|
| 0-5% | Healthy | Continue monitoring weekly |
| 5-10% | Warning | Add negatives for flagged terms. Re-check in 3 days |
| 10-15% | Elevated | Pause and add comprehensive negatives. Review match types |
| 15%+ | Critical | Pause MOFU/TOFU campaigns. Rebuild negative lists completely |

### Step 4: Add New Negatives

- [ ] Add all identified BOFU terms as negative keywords
- [ ] Update shared negative keyword list (if using one)
- [ ] Record added negatives in your tracking spreadsheet with date

---

## Monthly Bleed Audit

Run on the first Monday of each month. More thorough than weekly checks.

### Full Search Term Analysis

- [ ] Pull 30-day search term report for ALL campaigns
- [ ] Export to spreadsheet
- [ ] Create pivot table: search term x campaign x impressions x conversions
- [ ] Flag any search term appearing in both BOFU and MOFU/TOFU campaigns

### Cross-Campaign Cannibalization Check

| Search Term | BOFU Campaign | MOFU/TOFU Campaign | Action |
|-------------|---------------|-------------------|--------|
| _____________ | [ ] Present | [ ] Present | [ ] Add as negative in MOFU/TOFU |
| _____________ | [ ] Present | [ ] Present | [ ] Add as negative in MOFU/TOFU |
| _____________ | [ ] Present | [ ] Present | [ ] Add as negative in MOFU/TOFU |
| _____________ | [ ] Present | [ ] Present | [ ] Add as negative in MOFU/TOFU |
| _____________ | [ ] Present | [ ] Present | [ ] Add as negative in MOFU/TOFU |

### Budget Impact Assessment

| Metric | This Month | Last Month | Trend |
|--------|-----------|-----------|-------|
| BOFU campaign ROAS | _________ | _________ | _____ |
| MOFU campaign ROAS | _________ | _________ | _____ |
| TOFU campaign ROAS | _________ | _________ | _____ |
| Bleed % (MOFU) | _________ | _________ | _____ |
| Bleed % (TOFU) | _________ | _________ | _____ |
| Estimated wasted spend from bleed | $________ | $________ | _____ |

---

## Quarterly Negative List Refresh

Every 90 days, audit your negative keyword lists.

- [ ] Remove negatives that block legitimate MOFU/TOFU traffic (over-restriction)
- [ ] Add new BOFU terms that emerged from product launches or seasonal campaigns
- [ ] Check that shared negative lists are applied to correct campaigns
- [ ] Verify PMax search theme exclusions are current
- [ ] Update Layer 1 and Layer 7 keyword exports (source of truth for negatives)

---

## Quick Decision Tree

```
Search term found in MOFU/TOFU campaign:

1. Contains Tier 1 shopping modifier (buy, price, sale)?
   -  YES: Add as exact-match negative immediately
   -  NO: Continue to step 2

2. Contains your brand name or product name?
   -  YES: Add as exact-match negative immediately
   -  NO: Continue to step 3

3. Contains competitor brand name?
   -  YES: Should be in Layer 3 (MOFU), not TOFU. Move if in TOFU.
   -  NO: Continue to step 4

4. Is the search intent clearly bottom-of-funnel?
   -  YES: Add as negative, review match types
   -  NO: Leave in campaign, it belongs here
```

---

*From: Google Ads Audience   Angle Intelligence*
*The A.N.G.L.E. Protocol*


# Headline Formula Templates

**Purpose**: Fill-in-the-blank headline formulas for all 13 page types. Run every headline through the 3-Rule Filter before publishing.

---

## The 3-Rule Filter (Apply to Every Headline)

Before you use any formula, the output must pass all three rules:

**Rule 1: Visualizable** - Can the reader picture it in under 0.5 seconds?
- PASS: "Save 4 hours every week on feed updates"
- FAIL: "Optimize your workflow efficiency"

**Rule 2: Falsifiable** - Can someone prove this claim true or false?
- PASS: "160+ accounts optimized"
- FAIL: "Industry-leading optimization"

**Rule 3: Unique** - Could only THIS brand say it?
- PASS: "160+ presell page deployments across 160+ accounts"
- FAIL: "Expert-level Google Ads management"

Score each headline 0-3 per rule. Total 0-9. Ship at 7+. Revise at 4-6. Rewrite at 0-3.

---

## Banned Phrase List

These words and phrases auto-fail any headline. No exceptions.

**Vague qualifiers**: premium, best quality, top-tier, world-class, cutting-edge, state-of-the-art, next-level, high-end, superior

**Generic CTAs**: shop now, learn more, discover, explore, get started today, find out, see for yourself

**Unfalsifiable claims**: revolutionary, game-changing, transformative, industry-leading, best-in-class, unmatched, unparalleled, groundbreaking

**AI cliches**: unlock, harness, leverage, supercharge, elevate, empower, streamline, amplify, skyrocket, delve

**Empty intensifiers**: incredibly, remarkably, dramatically, significantly, truly, extremely, absolutely

---

## Format 1: Advertorial Headlines

**Best awareness match**: Unaware, Problem-Aware
**Lead type pairing**: Secret, Problem-Solution

### Headline Formulas

1. "Why Most [Audience] Stay Stuck With [Problem]"
2. "The Real Reason [Common Solution] Falls Apart After [Timeframe]"
3. "[Solution] Explained: What It Is and Whether It Actually Works"
4. "We Tried [Popular Approach] for [Timeframe]. Here's What Happened"
5. "[Number] [Audience] Share the Same [Problem]. Here's What Actually Fixes It"
6. "What [Industry] Won't Tell You About [Topic]"

### Examples (E-commerce)
- "Why Most DTC Brands Stay Stuck at 2% Conversion on Google Ads"
- "We Tried Sending All Traffic to Product Pages for 6 Months. Here's What Happened"

### Subheadline Formulas
1. "The [Adjective] truth about [topic] that [audience] learn too late"
2. "A [timeframe] analysis of [sample size] reveals [unexpected finding]"
3. "What happened when [number] [audience] switched from [old approach] to [new approach]"
4. "The [number]-step process behind [specific result] - and why [common approach] doesn't work"

---

## Format 2: Listicle Headlines

**Best awareness match**: Problem-Aware
**Lead type pairing**: Problem-Solution, Secret

### Headline Formulas

1. "[Number] Reasons You're Not [Achieving Outcome] (Even If You're Trying)"
2. "[Number] Mistakes That [Negative Outcome] - And How to Fix Them"
3. "The [Number] Fastest Ways to [Desired Result] Without [Common Sacrifice]"
4. "[Number] [Category] Mistakes That Cost [Audience] [Dollar Amount] Every [Timeframe]"
5. "Stop [Common Action]: [Number] Better Approaches to [Outcome]"

### Examples (E-commerce)
- "7 Reasons Your Landing Pages Convert at 2% While Competitors Hit 5%+"
- "5 Google Ads Mistakes That Cost E-commerce Brands $3,000+ Every Month"

### Subheadline Formulas
1. "Plus: the one fix that solves [number] of these at once"
2. "Based on [sample size] audits over [timeframe]"
3. "How many of these are you making right now?"

---

## Format 3: Comparison (Us vs Them) Headlines

**Best awareness match**: Product-Aware
**Lead type pairing**: Promise, Problem-Solution

### Headline Formulas

1. "[Your Product] vs [Competitor]: An Honest Comparison"
2. "Switching from [Competitor]? Here's What You Need to Know"
3. "[Your Product] vs [Competitor]: Which Is Right for [Audience]?"
4. "Why [Number] [Audience] Switched from [Competitor] to [Your Product] in [Timeframe]"
5. "[Competitor] vs [Your Product]: [Number] Differences That Actually Matter"
6. "We Compared [Your Product] and [Competitor] on [Number] Factors. Here's the Breakdown"

### Examples (E-commerce)
- "Our Serum vs Brand X: An Honest Comparison of Ingredients, Price, and Results"
- "Why 4,200 Customers Switched from Brand X to Us in the Last 6 Months"

### Subheadline Formulas
1. "A side-by-side breakdown of [number] features, pricing, and real user results"
2. "Updated [month/year] with verified data from both products"
3. "Includes real customer switching stories and measurable outcomes"

---

## Format 4: Guide Headlines

**Best awareness match**: Problem-Aware, Solution-Aware
**Lead type pairing**: Promise, Proclamation

### Headline Formulas

1. "The Complete Guide to [Outcome] for [Audience] ([Year])"
2. "How to [Achieve Outcome] in [Timeframe]: A [Number]-Step Process"
3. "[Outcome] Guide: From [Starting Point] to [End Point] in [Timeframe]"
4. "How [Number] [Audience] [Achieved Outcome] Using [Method] - Step by Step"
5. "Everything You Need to Know About [Topic] Before [Action]"

### Examples (E-commerce)
- "The Complete Guide to Landing Page Formats for Google Ads (2026)"
- "How to Cut Google Ads CPCs by 40-80% in 3 Weeks: A 5-Step Process"

### Subheadline Formulas
1. "A practitioner's guide based on [sample size] and [dollar amount] in [activity]"
2. "Step-by-step from [starting point] to [measurable outcome]"
3. "Includes [number] templates, [number] examples, and [specific tool/resource]"

---

## Format 5: Quiz Headlines

**Best awareness match**: Solution-Aware
**Lead type pairing**: Promise, Secret

### Headline Formulas

1. "Find Your Perfect [Product] in [Time] - Take the Quiz"
2. "Which [Product Category] Is Right for [Your Situation]?"
3. "[Number]-Question Quiz: What [Product/Solution] Should You Choose?"
4. "Not Sure Which [Product] Fits? Answer [Number] Questions and Find Out"
5. "Your Personalized [Product] Recommendation in [Time]"

### Examples (E-commerce)
- "Find Your Perfect Moisturizer in 60 Seconds - Take the Quiz"
- "Which Supplement Stack Is Right for Your Goals? Answer 6 Questions and Find Out"

### Subheadline Formulas
1. "[Number] quick questions. Personalized recommendation. No email required."
2. "Based on [number]+ customer matches and [data point]"
3. "Takes [time]. Saves you [time or money] on the wrong product."

---

## Format 6: Social-Proof Page Headlines

**Best awareness match**: Product-Aware
**Lead type pairing**: Promise, Problem-Solution

### Headline Formulas

1. "[Number] [Audience] Can't Be Wrong: See What They Say About [Product]"
2. "[Product] Results: [Aggregate Metric] Across [Number] Customers"
3. "Real [Audience], Real Results: [Number] Stories from [Product] Users"
4. "What Happens When [Number] [Audience] Try [Product] for [Timeframe]"
5. "The [Product] Results Page: [Number] Verified [Outcomes]"

### Examples (E-commerce)
- "12,000+ Customers, Average 3.2x ROAS Improvement: See Their Results"
- "What Happens When 500 DTC Brands Try the C.L.I.C.K. Framework for 30 Days"

### Subheadline Formulas
1. "Verified results from [audience segment] using [product] in [context]"
2. "[Number] case studies with before-and-after metrics"
3. "Sorted by [industry/use case/timeframe] so you can find results like yours"

---

## Format 7: Roundup Headlines

**Best awareness match**: Solution-Aware
**Lead type pairing**: Proclamation, Promise

### Headline Formulas

1. "The [Number] Best [Products] for [Use Case] in [Year]"
2. "[Number] [Products] Worth Your Money in [Year] (and [Number] to Avoid)"
3. "Our [Number] Top Picks for [Outcome]: Tested and Ranked"
4. "[Number] [Products] for [Specific Audience]: Expert Recommendations"
5. "The Only [Number] [Products] You Should Consider for [Use Case]"

### Examples (E-commerce)
- "The 8 Best Vitamin C Serums for Sensitive Skin in 2026"
- "9 Google Ads Tools Worth Your Money in 2026 (and 4 to Avoid)"

### Subheadline Formulas
1. "Independently tested. Ranked by [criteria]. Updated [month/year]."
2. "We tried [number]. These [number] actually delivered on their promises."
3. "Includes pricing, pros/cons, and who each [product] is best for"

---

## Format 8: VSL (Video Sales Letter) Headlines

**Best awareness match**: Solution-Aware, Most-Aware
**Lead type pairing**: Promise, Offer

### Headline Formulas

1. "Watch: How [Audience] [Achieve Outcome] in [Timeframe]"
2. "[Outcome] in [Timeframe] - See Exactly How It Works [Video]"
3. "The [Number]-Minute Video That Shows You How to [Outcome]"
4. "[Number] [Audience] Watched This and [Took Action]. Here's Why."
5. "See the [Product/Method] in Action: [Specific Result] in [Timeframe]"

### Examples (E-commerce)
- "Watch: How DTC Brands Cut CPCs by 40-80% With One Format Change"
- "The 4-Minute Video That Shows You Which Landing Page Type Converts Your Traffic"

### Subheadline Formulas
1. "No fluff. Just the [number]-step process behind [result]."
2. "[Time] long. Covers everything you need to [action] today."
3. "Includes the exact [framework/template] used on [sample size]"

---

## Format 9: Story Page Headlines

**Best awareness match**: Unaware
**Lead type pairing**: Story, Secret

### Headline Formulas

1. "I Never Thought [Relatable Statement] Until [Turning Point]"
2. "How a [Specific Detail] Changed Everything I Knew About [Topic]"
3. "We Lost [Dollar Amount] Before We Figured Out [Insight]"
4. "The Day I Realized [Commonly Held Belief] Was Completely Wrong"
5. "From [Bad State] to [Good State]: What [Number] [Timeframe] Taught Me About [Topic]"
6. "What Happened When We Stopped [Common Practice] and Started [New Practice]"

### Examples (E-commerce)
- "We Lost $40,000 on Landing Page Testing Before We Found the Pattern"
- "From 2.1% to 3.8% Conversion: What 3 Weeks of Advertorial Testing Taught Us"

### Subheadline Formulas
1. "A [honest/uncomfortable/expensive] lesson from [specific context]"
2. "The mistake that cost us [amount] - and the fix that earned it back"
3. "What [timeframe] and [dollar amount] in testing revealed about [topic]"

---

## Format 10: Problem-Solution Page Headlines

**Best awareness match**: Problem-Aware
**Lead type pairing**: Problem-Solution

### Headline Formulas

1. "Tired of [Problem]? Here's Why Nothing You've Tried Has Worked"
2. "[Problem] Solved: The [Number]-Step Fix That Actually Lasts"
3. "Why [Common Solution] Fails at [Problem] - And What to Do Instead"
4. "The [Problem] Fix: How to Go From [Bad State] to [Good State] in [Timeframe]"
5. "You're Not [Failing] Because of [Common Excuse]. Here's the Real Reason."

### Examples (E-commerce)
- "Tired of 2% Conversion Rates? Here's Why Better Headlines Won't Fix It"
- "Low ROAS Solved: The 3-Step Fix That Doubled Revenue for 160+ Accounts"

### Subheadline Formulas
1. "It's not [what they think]. It's [what it actually is]."
2. "The same fix that solved this for [number] [audience] in [timeframe]"
3. "Why [common approach] makes the problem worse - and the alternative that works"

---

## Format 11: Lander (Direct Response) Headlines

**Best awareness match**: Most-Aware
**Lead type pairing**: Offer, Promise

### Headline Formulas

1. "[Product] - [Price] | [Key Benefit]"
2. "Get [Product] Today: [Offer Detail]"
3. "[Benefit] in [Timeframe]. [Price]. [Guarantee]."
4. "Last Chance: [Product] at [Price] (Ends [Date])"
5. "[Number]+ [Audience] Use [Product] to [Outcome]. Join Them."

### Examples (E-commerce)
- "The Landing Page Conversion Kit - $197 | 13 Page Types, Copy Templates, Decision Tree"
- "2-3x Higher Conversions in 30 Days. $197. 30-Day Money-Back Guarantee."

### Subheadline Formulas
1. "Instant access. Lifetime updates. [Specific compatibility detail]."
2. "[What's included] for [price]. [Risk reversal]."
3. "Used by [number] [audience]. [Aggregate result]."

---

## Format 12: Review Page Headlines

**Best awareness match**: Product-Aware
**Lead type pairing**: Promise, Problem-Solution

### Headline Formulas

1. "[Product] Review: Is It Worth [Price] in [Year]?"
2. "We Tested [Product] for [Timeframe]. Here's Our Honest Review"
3. "[Product]: [Number] Things to Know Before You Buy"
4. "[Product] Review: [Rating] After [Timeframe] of Real Use"
5. "Is [Product] Worth It? An In-Depth Review With Real [Metrics/Results]"
6. "[Product] Review [Year]: Pros, Cons, and Who It's Best For"

### Examples (E-commerce)
- "CeraVe Moisturizer Review: Is It Worth $16 in 2026?"
- "We Tested the Ordinary's Vitamin C for 90 Days. Here's Our Honest Review"

### Subheadline Formulas
1. "Tested on [specific conditions/context] over [timeframe]"
2. "Includes comparisons to [number] alternatives at similar price points"
3. "Updated [date] with [number] months of real usage data"

---

## Format 13: Editorial (Wirecutter-Style) Headlines

**Best awareness match**: Solution-Aware
**Lead type pairing**: Proclamation, Promise

### Headline Formulas

1. "The Best [Product Category] in [Year], According to [Number] Hours of Testing"
2. "[Number] [Products] Tested: The [Number] Worth Buying in [Year]"
3. "The Best [Product] for [Use Case] After Testing [Number] Options"
4. "Our Top [Product Category] Picks for [Year]: Tested and Ranked"
5. "We Spent [Timeframe] Testing [Number] [Products]. These [Number] Won."

### Examples (E-commerce)
- "The Best Face Moisturizers in 2026, According to 200+ Hours of Testing"
- "We Spent 3 Months Testing 15 Vitamin C Serums. These 5 Won."

### Subheadline Formulas
1. "Ranked by [criteria]. Tested by [who/methodology]. Updated [date]."
2. "Quick picks: [Best overall], [Best value], [Best for specific use case]"
3. "[Number] products evaluated. [Number] criteria scored. No sponsorships."
4. "Independent testing methodology with [number] evaluation criteria explained"

---

## Cross-Reference: Headline Formula by Awareness Level

Quick lookup when you know the awareness level but haven't picked the page type yet.

### Unaware Headlines
Focus on curiosity and stories. No product mentions.
- "The Hidden Reason [Number]% of [Audience] Struggle With [Issue]"
- "What [Expert/Industry] Won't Tell You About [Topic]"
- "We Lost [Amount] Before We Figured Out [Insight]"

### Problem-Aware Headlines
Focus on the problem and its cost. Solutions mentioned, not products.
- "Tired of [Problem]? Here's Why Nothing You've Tried Has Worked"
- "[Number] [Audience] Share the Same [Problem]. Here's What Actually Fixes It"
- "[Number] Mistakes That [Negative Outcome] - And How to Fix Them"

### Solution-Aware Headlines
Focus on comparison and mechanism. Your product as one (best) option.
- "The [Mechanism] That Makes [Product Type] Actually Work"
- "[Number] [Products] Tested. Here's What Won"
- "The Best [Product Category] in [Year], According to [Testing Method]"

### Product-Aware Headlines
Focus on proof and objection handling. Your product by name.
- "Why [Number] [Audience] Switched to [Your Product] This Year"
- "[Product] Review: Everything You Need to Know Before Buying"
- "[Your Product] vs [Competitor]: [Number] Differences That Matter"

### Most-Aware Headlines
Focus on the offer. Price, deadline, action.
- "[Product] - [Price] | [Key Benefit]"
- "Last Chance: [Offer] Ends [Date]"
- "[Benefit] in [Timeframe]. [Price]. [Guarantee]."

---

---

## Worked Example

**Business**: DTC brand selling an at-home teeth whitening kit ($49). Google Ads spend: $16K/month. Building headlines for 3 different page types targeting 3 awareness levels.

### Page 1: Listicle (Problem-Aware)
**Keyword**: "why are my teeth still yellow after whitening"

| # | Headline | 3-Rule Score | Verdict |
|---|----------|-------------|---------|
| 1 | "5 Reasons Your Whitening Strips Stopped Working" | V:3 F:2 U:2 = **7** | SHIP - specific, falsifiable (strips do stop working), unique to whitening |
| 2 | "Why 60% of Strip Users See Results Fade After 2 Weeks" | V:3 F:3 U:2 = **8** | SHIP - "60%" and "2 weeks" are visualizable and falsifiable |
| 3 | "The Whitening Mistake 4 Out of 5 People Make" | V:2 F:2 U:1 = **5** | REVISE - "mistake" is vague, not unique to this brand |
| 4 | "Unlock Brighter Smiles Today" | V:1 F:0 U:0 = **1** | REWRITE - fails all 3 rules, uses banned word "unlock" |

**Selected headline**: #2 - "Why 60% of Strip Users See Results Fade After 2 Weeks"
**Subheadline**: "Based on 1,400 at-home whitening reviews. The 3rd reason explains 90% of failures."

### Page 2: Comparison (Product-Aware)
**Keyword**: "[brand] vs crest white strips"

| # | Headline | 3-Rule Score | Verdict |
|---|----------|-------------|---------|
| 1 | "[Brand] vs Crest: An Honest Comparison of Price, Speed, and Duration" | V:3 F:3 U:3 = **9** | SHIP - crystal clear, verifiable, only this brand |
| 2 | "Why 2,100 Crest Users Switched in the Last 6 Months" | V:3 F:3 U:3 = **9** | SHIP - specific number, specific timeframe |
| 3 | "The Best Teeth Whitening Solution" | V:0 F:0 U:0 = **0** | REWRITE - unfalsifiable, could be anyone |

**Selected headline**: #1
**Subheadline**: "We compared 6 factors side-by-side. Updated February 2026 with real user data."

### Page 3: Lander (Most-Aware)
**Keyword**: "buy [brand] whitening kit"

| # | Headline | 3-Rule Score | Verdict |
|---|----------|-------------|---------|
| 1 | "[Brand] Whitening Kit - $49 | 4 Shades Whiter in 7 Days" | V:3 F:3 U:3 = **9** | SHIP - price, timeframe, measurable result |
| 2 | "4 Shades Whiter. 7 Days. $49. 30-Day Guarantee." | V:3 F:3 U:2 = **8** | SHIP - compressed and scannable |

### 3-Rule Filter Applied to Common Mistakes

| Headline | V | F | U | Total | Problem |
|----------|---|---|---|-------|---------|
| "Transform Your Smile" | 1 | 0 | 0 | 1 | Unfalsifiable + banned word "transform" |
| "Premium Whitening Experience" | 0 | 0 | 0 | 0 | Three banned words in one headline |
| "4 Shades in 7 Days - $49" | 3 | 3 | 2 | 8 | Strong - specific, measurable, priced |
| "Join Thousands of Happy Customers" | 1 | 1 | 0 | 2 | "Thousands" is vague, not unique |
| "2,100+ 5-Star Reviews" | 3 | 3 | 2 | 8 | Strong - exact count, verifiable |

---

## Your Turn

For each page you're building:

1. Pick the matching headline format from the templates above
2. Write 4-5 headline candidates
3. Score each one with the 3-Rule Filter (0-9)
4. Ship at 7+, revise at 4-6, rewrite at 0-3
5. Pair with a subheadline from the matching subheadline formulas

---

## Interpretation Guide

| Score Pattern | What It Means | Action |
|--------------|--------------|--------|
| 0-3 on most headlines | You're writing marketing-speak, not headlines | Start with a specific data point and build the headline around it |
| Failing Visualizable repeatedly | Headlines are abstract | Rewrite using numbers, timeframes, or physical outcomes |
| Failing Falsifiable | Claims are subjective ("best", "premium") | Replace with provable claims (review count, measured result) |
| Failing Unique | Headlines work for any competitor | Include your brand's specific data (customer count, specific result) |
| All headlines are the same format | You're stuck in one pattern | Mix formats: try one story, one data-led, one question, one direct offer |

*Part of The Landing Page Conversion Kit. C.L.I.C.K. Framework.*


# Advertorial Page Structure Template

## Purpose

Build a native-content-style page that educates cold traffic about a problem before introducing your product as the solution. Looks like a blog post or news article, reads like editorial content, converts like a sales page.

---

## Page Parameters

| Parameter | Value |
|-----------|-------|
| Best awareness level | Unaware, Problem-Aware |
| Traffic temperature | Cold |
| Total word count | 1,200-2,500 words (3 length variants below) |
| Primary CTA | Soft - "Learn More" / "See How It Works" |
| Number of CTAs | 2-3 (mid-page soft, end-of-page medium) |
| Mobile priority | High - editorial layout must read well on mobile |
| Product reveal | No earlier than 60% through the page |

---

## Length Variants

| Variant | Word Count | When to Use |
|---------|-----------|-------------|
| Short | 300-600 | Congruence advertorials (bridge ad to product page) |
| Medium | 600-1,200 | Sell-the-click (get them to the product page) |
| Long | 1,200-2,500 | Full sell (complete purchase from advertorial) |

---

## Section-by-Section Structure (Long Variant)

### Section 1: Editorial Headline + Byline

**Purpose**: Look like a real article, not an ad. Stop the scroll.
**Word count**: 20-40 words
**Mobile note**: Full-width text, no product images visible yet

| Element | Format |
|---------|--------|
| Headline | Editorial style - uses headline formulas from the Headline Formula library |
| Byline | Author name + date + read time |
| Category tag | Small label above headline ("Skincare", "Health", "Home") |

**Worked example**:
```
SKINCARE

Why Most Women Over 30 Still Have Dark Spots
(Even After Trying Everything)

By Sarah Chen | Updated February 2026 | 6 min read
```

**What NOT to do**: "Amazing New Serum Transforms Skin!" (reads like an ad, not an article)

---

### Section 2: Problem Mirror (Recognition Stage)

**Purpose**: Make the reader feel seen. "That's exactly my experience."
**Word count**: 200-400 words
**Mobile note**: Single column, generous line spacing, no distractions

| Element | Purpose |
|---------|---------|
| Opening paragraph | Paint the reader's daily experience with specific sensory detail |
| Agitation | Name the emotional cost of the problem |
| Failed solutions | Acknowledge what they've already tried |

**Worked example opening**:
```
You've stood in the skincare aisle more times than you can count.
Vitamin C this. Retinol that. "Clinical strength." "Dermatologist
recommended."

You bought the $68 serum with the beautiful packaging. Used it
for 3 months. Checked the mirror every morning.

The dark spots didn't move.

So you tried the drugstore version. Then the K-beauty option your
friend swore by. Then the one from that Instagram ad with the
before-and-after that looked too good to be true.

Still there. Every morning. Same spots.

Here's the thing nobody in the skincare industry wants to tell you...
```

---

### Section 3: Root Cause Reveal (Hope Stage)

**Purpose**: Shift from "I have a problem" to "Now I understand WHY"
**Word count**: 200-400 words
**Mobile note**: Include 1 simple diagram or data visualization if possible

| Element | Purpose |
|---------|---------|
| Data/research | Cite a real study, stat, or mechanism |
| Mechanism explanation | Explain WHY previous solutions failed |
| The insight | The "aha moment" that reframes the problem |

**Conversion elements**: Inline authority markers ("According to a 2024 study published in the Journal of Dermatological Science...")

---

### Section 4: Solution Category Introduction

**Purpose**: Introduce the TYPE of solution without naming your product yet
**Word count**: 150-300 words
**Mobile note**: Standard editorial layout

| Element | Purpose |
|---------|---------|
| Solution approach | Explain the approach at a category level |
| Why it's different | Differentiate from solutions they've tried |
| Evidence preview | Hint at proof without revealing everything |

**Product reveal rule**: Your product name should NOT appear in sections 1-4. You're still educating, not selling.

---

### Section 5: Product Discovery (Belief Stage)

**Purpose**: Introduce your product naturally as one manifestation of this approach
**Word count**: 200-400 words
**Mobile note**: First product image appears here - lifestyle context, not product-on-white

| Element | Purpose |
|---------|---------|
| Natural product introduction | "One brand that's applied this research is..." |
| How it works | Connect the mechanism to the product's formulation |
| Key differentiator | What makes THIS product deliver on the approach |

**CTA #1 (soft)**: Place after this section. "See the clinical results" or "Learn more about [product name]"

---

### Section 6: Proof Stack

**Purpose**: Build belief with volume of evidence
**Word count**: 200-400 words
**Mobile note**: Testimonial cards that scroll horizontally

| Element | Format |
|---------|--------|
| Customer results | 2-3 specific testimonials with before/after timeframes |
| Aggregate data | "In a 90-day study of 500 users, 94% reported visible improvement" |
| Expert validation | Dermatologist quote or certification |

---

### Section 7: Objection Handling

**Purpose**: Address the "yeah but..." thoughts before they leave
**Word count**: 100-200 words
**Mobile note**: Q A format, collapsible

| Common Objections to Address |
|------------------------------|
| "How is this different from what I've already tried?" |
| "How long until I see results?" |
| "What if it doesn't work for my skin type?" |

---

### Section 8: Final CTA Block (Action Stage)

**Purpose**: Convert readers who made it to the end
**Word count**: 50-100 words
**Mobile note**: Full-width CTA section, product image + button

| Element | Placement |
|---------|-----------|
| Brief value recap | 1-2 sentences summarizing the key benefit |
| Product image | Lifestyle shot |
| **CTA #2 (medium)** | "Try [Product] Risk-Free" or "See [Product]" |
| Risk reversal | "60-day money-back guarantee. No questions asked." |

**Do NOT use**: "Buy Now" or "Add to Cart" on cold-traffic advertorials. The CTA should feel like a natural next step, not a hard sell.

---

## Conversion Element Placement Map

| Element | Where | Why |
|---------|-------|-----|
| Authority markers | Sections 3 + 6 | Build credibility during education |
| Social proof | Section 6 | After product introduction, before ask |
| Soft CTA | After Section 5 | For readers ready to learn more |
| Medium CTA | Section 8 | For readers who consumed everything |
| Product image | Section 5 (first appearance) | Late reveal maintains editorial feel |
| Risk reversal | Section 8 only | Only relevant at the ask |
| NO hard CTAs | Anywhere | Cold traffic bounces from "Buy Now" |

---

## Mobile Layout Notes

| Desktop Element | Mobile Behavior |
|----------------|-----------------|
| Editorial header | Full-width, larger text for readability |
| Long paragraphs | Break into shorter chunks (3-4 sentences max) |
| Inline images | Full-width, not floated |
| Data visualizations | Simplified for mobile (no complex charts) |
| CTAs | Full-width buttons |
| Testimonial cards | Horizontal scroll carousel |
| Product reveal section | Product image full-width above text |

---

## Design Notes

The advertorial MUST look like editorial content, not a product page:

- **Typography**: Serif or clean sans-serif body text (like a magazine)
- **Layout**: Single column, generous margins, 60-70 characters per line
- **Colors**: Neutral/editorial palette, not brand colors until product reveal
- **Navigation**: Minimal - no product nav, no shopping cart icon in header
- **Footer**: Simple - no upsells, no related products
- **Social share buttons**: Optional but reinforces "article" feel

---

*Part of The Landing Page Conversion Kit. C.L.I.C.K. Framework.*


# Comparison Page Structure Template

## Purpose

Build a page that helps solution-aware buyers evaluate your product against alternatives. The reader already knows they need something - this page proves yours is the right choice.

---

## Page Parameters

| Parameter | Value |
|-----------|-------|
| Best awareness level | Solution-Aware |
| Traffic temperature | Warm |
| Total word count | 1,000-2,000 words |
| Primary CTA | "Try [Product]" / "Get Started" |
| Number of CTAs | 3 (after hero, after comparison table, final block) |
| Mobile priority | High - tables must be readable on mobile |
| Comparison angle | Honest - acknowledge competitor strengths |

---

## Section-by-Section Structure

### Section 1: Comparison Hero

**Purpose**: Immediately frame the comparison and signal this page will help them decide.
**Word count**: 40-80 words
**Mobile note**: Full-width, no table elements visible yet

| Element | Format |
|---------|--------|
| Headline | "[Your Product] vs [Alternative]: Which One Is Right for You?" |
| Subheadline | 1 sentence framing the decision criteria |
| Update badge | "Updated [Month Year] - Latest pricing and features" |

**Worked example** (Standing Desk):
```
ErgoRise Pro vs FlexDesk 3000: Which Standing Desk
Actually Fits a Small Home Office?

We tested both for 90 days. Here's what we found
when space is under 50 square feet.

Updated February 2026 - Current pricing and specs
```

**What NOT to do**: "Why ErgoRise Pro Is Better Than FlexDesk" (biased framing kills trust immediately)

---

### Section 2: Quick Verdict Box

**Purpose**: Give impatient readers the answer immediately. Paradoxically, this keeps them on page longer because they trust you're not wasting their time.
**Word count**: 50-100 words
**Mobile note**: Full-width card with colored border

| Element | Format |
|---------|--------|
| Winner badge | "Best for [specific use case]: [Product Name]" |
| Runner-up | "Best for [different use case]: [Alternative]" |
| 1-sentence summary | Why each wins its category |

**Worked example**:
```
QUICK VERDICT

Best for small spaces (under 50 sq ft): ErgoRise Pro
  Narrower frame, same stability, built-in cable management

Best for heavy dual-monitor setups: FlexDesk 3000
  Higher weight capacity, wider surface, costs $80 more
```

**CTA #1 (soft)**: "See ErgoRise Pro specs" - placed directly after the quick verdict

---

### Section 3: Side-by-Side Comparison Table

**Purpose**: Feature-by-feature comparison for systematic buyers who want data.
**Word count**: 100-200 words (mostly table)
**Mobile note**: Horizontal scroll with your product column pinned left, OR stacked cards per feature

| Element | Format |
|---------|--------|
| Feature rows | 8-12 most important comparison points |
| Value highlighting | Bold or checkmark for advantage per row |
| Price row | Always last - anchor after value is established |

**Table structure**:

| Feature | [Your Product] | [Alternative 1] | [Alternative 2] |
|---------|---------------|-----------------|-----------------|
| [Most important feature] | Your value | Their value | Their value |
| [Second feature] | ... | ... | ... |
| ... | ... | ... | ... |
| **Price** | $X | $Y | $Z |

**Worked example**:

| Feature | ErgoRise Pro | FlexDesk 3000 | BudgetStand Basic |
|---------|-------------|---------------|-------------------|
| Desktop width | 48" | 60" | 42" |
| Weight capacity | 150 lbs | 200 lbs | 80 lbs |
| Height range | 25.5" - 50.5" | 24" - 50" | 28" - 44" |
| Motor noise | 40 dB (whisper) | 55 dB | Manual (no motor) |
| Cable management | Built-in tray | Add-on ($40) | None |
| Assembly time | 15 min (pre-assembled legs) | 45 min | 60 min |
| Warranty | 10 years | 5 years | 1 year |
| Memory presets | 4 heights | 3 heights | None |
| Frame width | 24" (fits small spaces) | 30" | 22" |
| Anti-collision | Yes | Yes | No |
| Wobble at max height | Minimal | Moderate | Significant |
| **Price** | **$449** | **$529** | **$189** |

**Honesty rule**: Your product should NOT win every row. If it does, the comparison feels fake. Acknowledge 2-3 areas where alternatives are genuinely better.

---

### Section 4: Deep-Dive Breakdown (3-4 Criteria)

**Purpose**: Expand on the 3-4 factors that matter most for this buying decision.
**Word count**: 300-600 words (75-150 per criterion)
**Mobile note**: Collapsible sections, one criterion per accordion

For each criterion:

| Element | Purpose |
|---------|---------|
| Criterion headline | "[Criterion]: How They Compare" |
| Why it matters | 1-2 sentences on why this factor affects their decision |
| Your product's performance | Specific data, test results, or user feedback |
| Alternative's performance | Fair assessment - acknowledge their strengths |
| Verdict for this criterion | Who wins and in what context |

**Worked example** (one criterion):
```
NOISE LEVEL: HOW THEY COMPARE

If you take calls from your home office, motor noise matters.
A loud desk moving during a Zoom call is the kind of small
annoyance that becomes a daily frustration.

ErgoRise Pro: 40 dB at full speed. For reference, that's
quieter than a refrigerator hum. We measured it moving from
sitting to standing during a live call - the other person
didn't notice.

FlexDesk 3000: 55 dB at full speed. Audible on calls.
The heavier motor handles more weight but creates more noise.
Fair trade-off if you need the 200 lb capacity.

VERDICT: ErgoRise Pro wins on noise. FlexDesk 3000 wins
if you need to support 150+ lbs of equipment.
```

---

### Section 5: Who Should Buy What (Decision Guide)

**Purpose**: Help the reader self-select. People trust recommendations that sometimes point them elsewhere.
**Word count**: 100-200 words
**Mobile note**: Two cards side by side (or stacked on narrow screens)

| Element | Format |
|---------|--------|
| "Choose [Your Product] if..." | 4-5 bullet points describing ideal buyer |
| "Choose [Alternative] if..." | 3-4 bullet points describing when the alternative is better |

**Worked example**:
```
CHOOSE ERGORISE PRO IF:
- Your office is under 50 sq ft
- You take calls and need quiet transitions
- You want under-15-minute setup
- Cable management matters (no visible wires)
- You prefer longer warranty coverage

CHOOSE FLEXDESK 3000 IF:
- You need a 60" or wider desktop
- Your monitor/equipment weighs over 150 lbs
- You prioritize surface area over compact footprint
- You don't mind a louder motor
```

**CTA #2**: Place after this section. "See ErgoRise Pro in your space" or "Configure your ErgoRise Pro"

---

### Section 6: Social Proof (Comparison-Specific)

**Purpose**: Show reviews from people who evaluated the same alternatives.
**Word count**: 100-200 words
**Mobile note**: Testimonial cards, horizontally scrollable

| Element | Format |
|---------|--------|
| 2-3 testimonials | From buyers who considered the same alternatives |
| Switching stories | "I returned the [alternative] and got [your product] because..." |
| Aggregate review comparison | "4.8/5 from 2,340 reviews vs 4.3/5 from 890 reviews" |

**Key**: The most persuasive testimonials explicitly mention they considered or tried the competitor first.

---

### Section 7: FAQ (Comparison-Focused)

**Purpose**: Address questions specific to this comparison decision.
**Word count**: 100-200 words
**Mobile note**: Accordion format

| Questions to Address |
|---------------------|
| "Can I use [your product] for [thing alternative is known for]?" |
| "Is [your product] worth the price difference?" |
| "What about [third alternative] - how does it compare?" |
| "What's the return policy if I pick the wrong one?" |
| "Are these specs current / when was this comparison updated?" |

---

### Section 8: Final CTA Block

**Purpose**: Convert the reader who consumed the full comparison.
**Word count**: 30-50 words
**Mobile note**: Full-width CTA section

| Element | Placement |
|---------|-----------|
| Value recap | "The [best-fit descriptor] for [their specific situation]" |
| Product image | Lifestyle shot in the use context |
| **CTA #3** | "Try ErgoRise Pro - 60-Day Home Trial" |
| Risk reversal | "Free shipping. Free returns. 60 days to decide." |

---

## Conversion Element Placement Map

| Element | Where | Why |
|---------|-------|-----|
| Quick verdict | Section 2 (early) | Builds trust by giving the answer upfront |
| Comparison table | Section 3 | Data for systematic buyers |
| Soft CTA | After Section 2 | Catch decisive readers early |
| Medium CTA | After Section 5 | After self-selection, motivation is highest |
| Social proof | Section 6 | Comparison-specific reviews validate the decision |
| Final CTA | Section 8 | Catch thorough researchers |
| Honesty markers | Sections 3 + 4 | Acknowledging competitor wins builds trust |
| Update date | Section 1 | Signals current, reliable information |

---

## Mobile Layout Notes

| Desktop Element | Mobile Behavior |
|----------------|-----------------|
| Side-by-side comparison table | Horizontal scroll (your product pinned left) OR stacked feature cards |
| Quick verdict box | Full-width card, prominent border |
| Deep-dive breakdowns | Collapsible accordion (first one open) |
| "Who should buy what" cards | Stacked vertically |
| Testimonial cards | Horizontal scroll carousel |
| CTAs | Full-width buttons |

---

## Design Notes

The comparison page must feel objective, not promotional:

- **Tone**: Reviewer, not salesperson. Third-person perspective ("ErgoRise Pro offers..." not "Our desk offers...")
- **Visual balance**: Give equal visual weight to all products in the comparison table
- **Color coding**: Use subtle advantage highlighting (light green background), not aggressive "WINNER" badges
- **Data first**: Lead with numbers and test results, not marketing claims
- **Competitor links**: Optional but powerful - linking to competitor product pages shows confidence
- **Disclosure**: If this is your product's page, add a small disclosure: "We make ErgoRise Pro. We've tried to be fair, but we're obviously biased. Check independent reviews too."

---

*Part of The Landing Page Conversion Kit. C.L.I.C.K. Framework.*


# Offer Page Structure Template

## Purpose

Build a dedicated landing page for time-sensitive offers, bundles, or promotions. Converts warm-to-hot traffic from ads, emails, or retargeting by stacking value and creating legitimate urgency.

---

## Page Parameters

| Parameter | Value |
|-----------|-------|
| Best awareness level | Product-Aware, Most-Aware |
| Traffic temperature | Warm to Hot |
| Total word count | 600-1,200 words |
| Primary CTA | "Claim This Offer" / "Get the Bundle" |
| Number of CTAs | 3 (hero, after value stack, final) |
| Mobile priority | Highest - 70%+ of promo traffic is mobile |
| Urgency type | Real deadline, real scarcity, or seasonal |

---

## Offer Types This Template Covers

| Offer Type | When to Use | Example |
|------------|-------------|---------|
| Limited-time discount | Seasonal promotions, flash sales | "30% off - ends Sunday midnight" |
| Bundle deal | Increasing AOV, clearing inventory | "Buy 2 Get 1 Free" or "The Complete Kit" |
| First-purchase offer | New customer acquisition | "First order: 20% off + free shipping" |
| Threshold offer | Raising AOV | "Free gift with orders over $75" |
| Launch offer | New product introduction | "Introductory price: $34.99 (regular $49.99)" |

---

## Section-by-Section Structure

### Section 1: Offer Hero (Above the Fold)

**Purpose**: Communicate the offer in under 3 seconds. Visitor must understand WHAT they get, HOW MUCH they save, and WHEN it expires - immediately.
**Word count**: 40-80 words
**Mobile note**: Offer details and CTA visible without scrolling.

| Element | Placement |
|---------|-----------|
| Offer headline | Top - largest text on page |
| Savings callout | Below headline - specific dollar or percentage amount |
| Deadline/scarcity | Below savings - countdown timer or end date |
| Hero image | Product lifestyle shot or bundle layout |
| **CTA #1** | Below image - "Claim This Offer" |
| Trust badges | Below CTA - payment, shipping, guarantee |

**Worked example** (Skincare Bundle):
```
THE COMPLETE BRIGHTENING KIT
3 Products. 1 Price. 40% Off.

$59.99 (Regular price: $99.97 if bought separately)
You save $39.98

⏱️ Offer ends Sunday, March 2 at midnight EST

[HERO IMAGE: All 3 products arranged on marble counter]

[CLAIM THE BRIGHTENING KIT - $59.99]

🔒 Secure Checkout | 🚚 Free Shipping | ↩️ 60-Day Guarantee
```

**Urgency rules**:
- Only use countdown timers for REAL deadlines
- "Limited stock" only if inventory is genuinely limited
- Fake urgency destroys trust and violates platform policies
- If no real deadline exists, use "introductory pricing" instead of fake scarcity

---

### Section 2: What's Included (Value Stack)

**Purpose**: Make the total value feel like a steal. List every component with its individual value.
**Word count**: 150-300 words
**Mobile note**: Stacked cards, one per product/component

| Element | Format |
|---------|--------|
| Individual product cards | Image + name + standalone price + 1-line benefit |
| Bonus items | Marked as "FREE BONUS" with separate value |
| Total value calculation | Sum of individual prices (crossed out) vs bundle price |

**Worked example**:
```
HERE'S EVERYTHING IN YOUR BRIGHTENING KIT:

┌─────────────────────────────────────────────┐
│ [Product Image]                              │
│ Vitamin C Brightening Serum - 30ml           │
│ Value: $34.99                                │
│ 20% L-ascorbic acid. Visible results         │
│ in 14 days. 2,340 five-star reviews.         │
├─────────────────────────────────────────────┤
│ [Product Image]                              │
│ Gentle Enzyme Cleanser - 120ml               │
│ Value: $24.99                                │
│ Removes dead skin without stripping.         │
│ Preps skin for serum absorption.             │
├─────────────────────────────────────────────┤
│ [Product Image]                              │
│ SPF 50 Daily Moisturizer - 50ml              │
│ Value: $29.99                                │
│ Protects brightening results from UV         │
│ damage. Lightweight, no white cast.          │
├─────────────────────────────────────────────┤
│ 🎁 FREE BONUS                                │
│ Printable 30-Day Brightening Routine Card    │
│ Value: $9.99                                 │
│ Morning + evening steps. Stick it on         │
│ your bathroom mirror.                        │
└─────────────────────────────────────────────┘

Total value: $99.96
YOUR PRICE: $59.99
YOU SAVE: $39.97 (40%)
```

**CTA #2**: Place immediately after the value stack. "Get Everything for $59.99"

---

### Section 3: Why This Bundle / Why Now

**Purpose**: Justify the offer. An unexplained discount feels suspicious.
**Word count**: 80-150 words
**Mobile note**: Standard text block

| Reason Type | When to Use | Example |
|------------|-------------|---------|
| Seasonal | Holiday, BFCM, New Year | "New Year skin reset - we run this once a year" |
| Launch | New product or new bundle | "We're launching this kit at an introductory price" |
| Milestone | Company anniversary, customer count | "We just hit 50,000 customers - this is our thank you" |
| Strategic | You want first-purchase or email capture | "We'd rather you try all 3 products at a discount than 1 at full price" |

**Worked example**:
```
WHY 40% OFF?

Most people buy the serum alone. But brightening works
3x faster when you combine it with proper cleansing and
UV protection.

We'd rather you see real results with all three products
at a lower price than buy one product at full price and
wonder why it's not working.

This bundle price runs through March 2. After that,
each product returns to its individual price.
```

---

### Section 4: Social Proof (Offer-Specific)

**Purpose**: Validate the offer with reviews, purchase count, or results data.
**Word count**: 100-200 words
**Mobile note**: Testimonial cards or a simple stats row

| Element | Format |
|---------|--------|
| Offer popularity | "2,847 kits sold this month" |
| Bundle-specific reviews | Reviews from people who bought the bundle (not individual products) |
| Results data | "94% of kit users saw improvement vs 71% of serum-only users" |
| Before/after | If available, showing bundle results specifically |

---

### Section 5: FAQ (Offer-Focused)

**Purpose**: Handle objections specific to this offer.
**Word count**: 100-200 words
**Mobile note**: Accordion format

| Questions to Address |
|---------------------|
| "When does this offer expire?" |
| "Can I buy the products separately instead?" |
| "What if I only need one of the products?" |
| "Is this the lowest price you'll offer?" |
| "What's the return policy on bundles?" |
| "Will this offer come back?" |

---

### Section 6: Final CTA Block

**Purpose**: Last chance conversion with urgency reinforcement.
**Word count**: 40-80 words
**Mobile note**: Full-width, sticky option on scroll

| Element | Placement |
|---------|-----------|
| Offer summary | 1 line: "The Complete Brightening Kit - $59.99 (save 40%)" |
| Deadline reminder | Countdown timer or date |
| **CTA #3** | "Claim the Kit Before [Deadline]" |
| Guarantee | "60-day money-back guarantee. Return any or all products." |
| Alternative action | "Or buy products individually at full price" (anchors the discount value) |

**Worked example**:
```
THE COMPLETE BRIGHTENING KIT
$59.99 (save $39.97)

⏱️ Offer ends Sunday, March 2 at midnight EST

[CLAIM THE BRIGHTENING KIT - $59.99]

60-day money-back guarantee. Free shipping.
Return any or all products - no questions asked.

Prefer to buy individually? Shop all products →
```

---

## Conversion Element Placement Map

| Element | Where | Why |
|---------|-------|-----|
| Savings amount | Hero section (largest visual weight) | Anchor the deal immediately |
| Countdown / deadline | Hero + final CTA block | Bookend urgency without being pushy |
| Value stack | Section 2 | Show total value before asking for money |
| Justification | Section 3 | Unexplained discounts feel suspicious |
| Social proof | Section 4 | Validate with purchase volume and results |
| CTA #1 | Hero (above fold) | Capture ready-to-buy visitors |
| CTA #2 | After value stack | Catch visitors convinced by the breakdown |
| CTA #3 | Final block | Last chance with urgency reminder |
| Guarantee | Below CTA #1 and CTA #3 | Remove risk at decision points |
| "Buy individually" link | Final block only | Anchors bundle value against individual prices |

---

## Mobile Layout Notes

| Desktop Element | Mobile Behavior |
|----------------|-----------------|
| Product cards in value stack | Full-width, stacked vertically |
| Countdown timer | Fixed at top of screen (small bar) or inline |
| Side-by-side images | Single column, product image per card |
| FAQ | Accordion, closed by default |
| Trust badges | 2x2 grid below CTA |
| Final CTA block | Sticky bottom bar option after scrolling past hero |

---

## Design Notes

Offer pages need controlled urgency - excited, not desperate:

- **Color**: Use accent color for savings/discount callouts. Not the entire page.
- **Typography**: Price display large and clear. Original price struck through in smaller text.
- **Countdown timer**: If used, simple and clean. Not flashing or animated aggressively.
- **White space**: More is better. Don't cram the value stack. Let each product breathe.
- **Trust signals**: Prominent but not overwhelming. 3 badges max.
- **No distractions**: Remove site navigation, footer links, sidebar. One page, one offer, one action.
- **Exit intent**: Optional popup offering a smaller discount or email capture for those about to leave.

---

## Offer Integrity Checklist

Before publishing, verify:

- [ ] Deadline is real (offer actually expires on that date)
- [ ] Stock scarcity is real (if claiming limited quantity)
- [ ] Discount math is correct (original prices are actual selling prices, not inflated)
- [ ] Offer doesn't violate platform ad policies (Google Ads, Meta, etc.)
- [ ] Countdown timer stops and page updates after deadline passes
- [ ] Return policy is clearly stated and honored for bundle purchases
- [ ] Individual product pages still exist at regular prices (for price anchor to work)

---

*Part of The Landing Page Conversion Kit. C.L.I.C.K. Framework.*


# Product Page Structure Template

## Purpose

Build a high-converting e-commerce product page for Google Ads traffic. This wireframe defines every section, its purpose, recommended word count, and conversion element placement.

---

## Page Parameters

| Parameter | Value |
|-----------|-------|
| Best awareness level | Product-Aware, Most-Aware |
| Traffic temperature | Warm to Hot |
| Total word count | 800-1,500 words |
| Primary CTA | Add to Cart / Buy Now |
| Number of CTAs | 3 (hero, mid-page, bottom) |
| Mobile priority | Highest - 70%+ of traffic |

---

## Section-by-Section Structure

### Section 1: Hero (Above the Fold)

**Purpose**: Instant product identification + primary purchase action
**Word count**: 50-100 words
**Mobile note**: Image takes 60% of viewport. CTA visible without scrolling.

| Element | Placement | Notes |
|---------|-----------|-------|
| Product image gallery | Left 60% (desktop), Top 100% (mobile) | Lead with lifestyle shot, not white background |
| Product name/title | Right top (desktop), Below image (mobile) | Include primary keyword naturally |
| Star rating + review count | Below title | "4.8 stars from 2,340 reviews" |
| Price | Below rating | Show original price struck through if on sale |
| Key benefit (1 line) | Below price | "Clinically proven to reduce fine lines in 14 days" |
| **CTA #1: Add to Cart** | Below benefit | Full-width button on mobile, prominent color |
| Trust badges | Below CTA | Payment icons, security seal, shipping promise |

**Worked example** (Vitamin C Serum):
```
[HERO IMAGE: Lifestyle photo of serum on vanity with morning light]

SkinGlow Vitamin C Brightening Serum - 30ml
★★★★★ 4.8 (2,340 reviews)
$34.99 (was $49.99) - 30% OFF

Visible dark spot reduction in 14 days or your money back.

[ADD TO CART - $34.99]

🔒 Secure Checkout | 🚚 Free Shipping $50+ | ↩️ 60-Day Returns
```

---

### Section 2: Quick Benefits Strip

**Purpose**: Scannable value propositions for scrollers
**Word count**: 30-50 words
**Mobile note**: 2x2 grid or horizontal scroll

| Element | Format |
|---------|--------|
| 4 benefit icons | Icon + 5-7 word statement each |

**Worked example**:
```
🧪 20% L-Ascorbic Acid     📋 Dermatologist Tested
⏱️ Results in 14 Days      🌱 Cruelty-Free   Vegan
```

---

### Section 3: Product Description + Ingredients/Specs

**Purpose**: Detailed product information for considered buyers
**Word count**: 150-250 words
**Mobile note**: Collapsible accordion sections

| Element | Format |
|---------|--------|
| 2-3 paragraph description | Focus on outcomes, not features |
| Key ingredients/specs list | Bulleted, scannable |
| How to use | Numbered steps (3-5 max) |

**Conversion elements**: Inline trust markers ("used by 50,000+ customers", "recommended by 200+ dermatologists")

---

### Section 4: Social Proof Block

**Purpose**: Overcome skepticism with volume of proof
**Word count**: 100-200 words
**Mobile note**: Horizontally scrollable testimonial cards

| Element | Format |
|---------|--------|
| 3-5 customer reviews | Photo + name + verified badge + quote |
| Before/after images | Side-by-side with timeframe |
| Aggregate stat | "94% of customers saw improvement in 30 days" |

**CTA #2**: Place a secondary "Add to Cart" button after the social proof section.

---

### Section 5: Comparison Table (Optional)

**Purpose**: Position against alternatives for solution-aware buyers
**Word count**: 50-100 words
**Mobile note**: Horizontal scroll with your product pinned left

| Element | Format |
|---------|--------|
| Feature comparison | Your product vs 2-3 alternatives |
| Highlight advantages | Green checkmarks for your wins |

---

### Section 6: FAQ

**Purpose**: Handle objections without the buyer needing to leave
**Word count**: 150-250 words
**Mobile note**: Accordion/collapsible format

| Include These Questions |
|------------------------|
| What results should I expect and when? |
| What's the return/refund policy? |
| How is this different from [competitor/alternative]? |
| Is this right for my [skin type/situation/use case]? |
| What's included / How does shipping work? |

---

### Section 7: Final CTA Block

**Purpose**: Catch buyers who scrolled through everything
**Word count**: 30-50 words
**Mobile note**: Sticky "Add to Cart" bar appears after scrolling past hero

| Element | Placement |
|---------|-----------|
| Product image (small) | Left |
| Price + key benefit | Center |
| **CTA #3: Add to Cart** | Right, full-width on mobile |
| Guarantee reminder | Below CTA ("60-day money-back guarantee") |

---

## Conversion Element Placement Map

| Element | Where It Goes | Why |
|---------|-------------|-----|
| Primary CTA | Hero (above fold) | Capture ready-to-buy visitors immediately |
| Trust badges | Below hero CTA + below final CTA | Reduce friction at decision points |
| Social proof | Section 4 (after features, before FAQ) | Build confidence after educating |
| Urgency (if real) | Hero section, near price | Low stock, sale ending, limited edition |
| Guarantee | FAQ section + final CTA block | Remove risk at the moment of commitment |
| Secondary CTA | After social proof section | Catch mid-page converts |
| Sticky CTA (mobile) | Fixed bottom bar, appears after scrolling past hero | Always accessible without scrolling back up |

---

## Mobile Layout Notes

| Desktop Element | Mobile Behavior |
|----------------|-----------------|
| Side-by-side image + info | Stacks vertically (image on top) |
| Image gallery (thumbnails below) | Horizontal swipe carousel |
| Comparison table | Horizontal scroll with sticky first column |
| FAQ | Accordion (closed by default, open on tap) |
| Trust badges | 2x2 grid instead of horizontal row |
| Sticky CTA bar | Appears after scrolling 500px, stays fixed at bottom |

---

*Part of The Landing Page Conversion Kit. C.L.I.C.K. Framework.*


# Quiz Funnel Page Structure Template

## Purpose

Build a multi-step quiz that segments visitors by need, then routes them to the right product recommendation. Converts cold traffic by exchanging personalized advice for an email address.

---

## Page Parameters

| Parameter | Value |
|-----------|-------|
| Best awareness level | Problem-Aware, Solution-Aware |
| Traffic temperature | Cold to Warm |
| Total word count | 300-500 words (visible at any one time) |
| Primary CTA | "See My Results" (email gate) then product recommendation |
| Number of questions | 5-8 (sweet spot: 6) |
| Mobile priority | Highest - quiz must work flawlessly on mobile |
| Completion rate target | 65-80% of starters finish |
| Email capture rate target | 40-60% of finishers submit email |

---

## Quiz Flow Architecture

```
Landing Page (hook + start button)
  -  Question 1 (easiest, builds momentum)
  -  Question 2
  -  Question 3
  -  Question 4
  -  Question 5 (optional)
  -  Question 6 (optional)
  -  Email Gate ("See your personalized results")
  -  Results Page (recommendation + CTA)
```

**Drop-off pattern**: Most abandonment happens between questions 1-2. If they reach question 3, 85%+ will finish.

---

## Page 1: Quiz Landing Page

**Purpose**: Sell the quiz, not the product. Get them to click "Start."
**Word count**: 80-150 words
**Mobile note**: Entire page visible without scrolling. One clear button.

| Element | Format |
|---------|--------|
| Headline | Outcome-focused: "Find Your Perfect [Category] in 60 Seconds" |
| Subheadline | Specificity + time: "Answer 6 quick questions. Get a personalized recommendation." |
| Social proof micro-line | "12,847 people have taken this quiz" |
| Visual | Illustration or lifestyle image related to outcome (NOT product shots) |
| **Start button** | "Start the Quiz" or "Find My Match" - large, centered |
| Time estimate | "Takes about 60 seconds" below button |

**Worked example** (Skincare):
```
WHAT'S YOUR SKIN ACTUALLY TELLING YOU?

Answer 6 questions about your skin, routine, and goals.
Get a dermatologist-backed recommendation tailored to your
specific concerns.

14,203 people have taken this quiz this month.

[FIND MY ROUTINE - 60 SECONDS]
```

**What NOT to do**: "Take Our Product Quiz!" (makes it about you, not them)

---

## Page 2-7: Question Pages

**Purpose**: Gather segmentation data while keeping momentum.
**Mobile note**: One question per screen. No scrolling required to see all options.

### Question Design Rules

| Rule | Why |
|------|-----|
| 1 question per screen | Reduces cognitive load, increases completion |
| 2-4 answer options per question | More than 4 causes decision paralysis |
| Image-based answers when possible | Faster to process than text |
| Progress bar visible | Reduces abandonment ("3 of 6" or visual progress) |
| Back button available | Reduces anxiety about wrong answers |
| No "wrong" answers | Every option leads to a valid recommendation |

### Question Sequence Strategy

| Position | Question Type | Purpose | Example |
|----------|-------------|---------|---------|
| Q1 | Easy identity | Build momentum, zero friction | "What's your skin type?" |
| Q2 | Current situation | Understand where they are | "What does your current routine look like?" |
| Q3 | Pain point | Identify their primary problem | "What bothers you most about your skin?" |
| Q4 | Past attempts | Understand what's failed | "What have you tried that didn't work?" |
| Q5 | Goal/outcome | Define their desired state | "What would success look like for you?" |
| Q6 | Practical constraints | Segment by budget/time/preference | "How much time do you spend on skincare daily?" |

### Worked Example: Full 6-Question Skincare Quiz

**Question 1** (Identity - Easy start):
```
WHAT'S YOUR SKIN TYPE?

[Image: Oily]     Oily - Shiny by noon, visible pores
[Image: Dry]      Dry - Tight, flaky, sometimes itchy
[Image: Combo]    Combination - Oily T-zone, dry cheeks
[Image: Normal]   Normal - Balanced, minimal issues

Progress: ■□□□□□ (1 of 6)
```

**Question 2** (Current situation):
```
WHAT DOES YOUR DAILY SKINCARE LOOK LIKE?

Nothing - I wash my face and that's it
Basic - Cleanser + moisturizer
Moderate - 3-5 products, somewhat consistent
Extensive - Full routine, AM and PM, very consistent

Progress: ■■□□□□ (2 of 6)
```

**Question 3** (Pain point):
```
WHAT BOTHERS YOU MOST RIGHT NOW?

Dark spots or uneven tone
Fine lines and wrinkles
Breakouts or acne
Dullness - skin looks tired

Progress: ■■■□□□ (3 of 6)
```

**Question 4** (Past attempts):
```
WHAT HAVE YOU TRIED THAT DIDN'T WORK?

Expensive serums (no visible results)
Drugstore products (not strong enough)
Prescription treatments (too harsh)
I haven't tried much yet

Progress: ■■■■□□ (4 of 6)
```

**Question 5** (Goal):
```
WHAT WOULD YOU LOVE TO SEE IN 30 DAYS?

Visibly brighter, more even skin tone
Fewer fine lines around eyes and mouth
Clearer skin with fewer breakouts
Healthy glow - less dull, more radiant

Progress: ■■■■■□ (5 of 6)
```

**Question 6** (Constraints):
```
HOW MUCH TIME CAN YOU SPEND ON SKINCARE DAILY?

Under 2 minutes - keep it fast
2-5 minutes - willing to commit a bit
5-10 minutes - happy to invest the time
10+ minutes - skincare is my self-care

Progress: ■■■■■■ (6 of 6)
```

### Answer-to-Segment Mapping

Each answer combination maps to a product recommendation. Build a scoring matrix:

| Answer | Segment A Weight | Segment B Weight | Segment C Weight |
|--------|-----------------|-----------------|-----------------|
| Q1: Oily | +2 | 0 | +1 |
| Q1: Dry | 0 | +2 | +1 |
| Q3: Dark spots | +3 | 0 | 0 |
| Q3: Fine lines | 0 | +3 | 0 |
| Q3: Breakouts | 0 | 0 | +3 |
| ... | ... | ... | ... |

**Highest total score = recommended product/segment.**

---

## Email Gate Page

**Purpose**: Capture the email before showing results. This is the value exchange.
**Word count**: 40-80 words
**Mobile note**: Email field + button visible without scrolling. No distractions.

| Element | Format |
|---------|--------|
| Headline | "Your Results Are Ready" |
| Value statement | "We'll send your personalized routine + a [bonus] to your inbox" |
| Email field | Single field, large, pre-focused on mobile |
| Submit button | "See My Results" (NOT "Subscribe" or "Sign Up") |
| Privacy line | "No spam. Unsubscribe anytime." |
| Skip option | Optional - "Skip and see results" (lower conversion but higher trust) |

**Worked example**:
```
YOUR PERSONALIZED ROUTINE IS READY

Based on your answers, we've built a 3-step routine
matched to your skin type, concerns, and time budget.

Enter your email to see your results - plus a printable
morning/evening routine card.

[your@email.com          ]
[SEE MY RESULTS]

No spam. Unsubscribe anytime. We take privacy seriously.
```

**Skip option debate**: Including a "skip" link drops email capture 15-25% but increases trust and page completion. Test both.

---

## Results Page

**Purpose**: Deliver the personalized recommendation and convert to product page or purchase.
**Word count**: 200-400 words
**Mobile note**: Recommendation card visible immediately. Product CTA above first scroll.

| Element | Format |
|---------|--------|
| Personalization header | "Based on your answers, [Name]..." or "Your Skin Profile:" |
| Profile summary | 2-3 sentences reflecting their quiz answers back to them |
| Primary recommendation | Product card with image, name, price, 1-line benefit |
| Why this product | 2-3 sentences connecting their answers to this specific product |
| **CTA** | "Try [Product Name]" or "Shop [Product Name]" |
| Secondary recommendations | 1-2 complementary products (smaller cards) |
| Social proof | "Others with your profile saw results in [timeframe]" |

**Worked example**:
```
YOUR SKIN PROFILE: The Brightening Reset

Your skin type: Combination
Primary concern: Dark spots and uneven tone
Routine level: Basic (ready to add 1-2 steps)
Time budget: 2-5 minutes

RECOMMENDED FOR YOU:

[Product Image]
SkinGlow Vitamin C Brightening Serum - 30ml
$34.99

Your combination skin with dark spot concerns responds
best to stabilized L-ascorbic acid at 20% concentration.
Since you're keeping your routine simple, this single
addition to your existing cleanser + moisturizer delivers
the most impact per step.

[TRY SKINGLOW SERUM - $34.99]

60-day money-back guarantee. Free shipping over $50.

COMPLETE YOUR ROUTINE:
[Small card] Gentle Enzyme Cleanser - $24.99
[Small card] SPF 50 Daily Moisturizer - $29.99

8,432 people with your profile reported visible
improvement in dark spots within 21 days.
```

---

## Conversion Element Placement Map

| Element | Where | Why |
|---------|-------|-----|
| Social proof count | Quiz landing page | "12,847 people took this" reduces friction |
| Progress bar | Every question page | Reduces abandonment |
| Email gate | Before results | Value exchange at peak curiosity |
| Personalization | Results header | Proves the quiz was worth taking |
| Product CTA | Results page, above scroll | Capitalize on recommendation momentum |
| Risk reversal | Below product CTA | Remove final purchase friction |
| Complementary products | Below primary recommendation | Increase AOV |

---

## Mobile Layout Notes

| Element | Mobile Behavior |
|---------|-----------------|
| Quiz landing page | Full-screen, no scroll needed to see CTA |
| Question pages | One question per screen, large tap targets (min 48px) |
| Answer options | Full-width buttons, stacked vertically |
| Image answer options | 2x2 grid with labels below each image |
| Progress bar | Fixed at top of screen |
| Email gate | Email field auto-focused, keyboard appears |
| Results page | Product card full-width, CTA sticky at bottom |

---

## Design Notes

Quiz pages should feel app-like, not website-like:

- **Transitions**: Smooth slide between questions (left-to-right or fade)
- **Colors**: Calm, clean palette. Avoid aggressive brand colors on question screens
- **Typography**: Large, readable text. Question text at least 20px on mobile
- **Tap targets**: Answer options minimum 48px tall, with generous padding
- **Loading indicator**: Brief "Analyzing your answers..." animation before results (builds anticipation, even if results are instant)
- **No navigation**: Hide site header/footer during quiz. Full-screen experience.
- **No back-to-site link**: Until results page. Minimize exit opportunities.

---

## Technical Implementation Notes

| Component | Recommendation |
|-----------|----------------|
| Quiz builder tool | Typeform, Octane AI (Shopify), or custom build |
| Email integration | Connects to Klaviyo, Mailchimp, or your ESP |
| Segmentation tagging | Tag subscriber with quiz answers for email personalization |
| Results logic | Weighted scoring matrix (see Answer-to-Segment Mapping above) |
| Retargeting pixel | Fire on quiz start AND quiz completion for retargeting segments |
| Abandoned quiz flow | Email/retarget people who started but didn't finish |

---

*Part of The Landing Page Conversion Kit. C.L.I.C.K. Framework.*


# Page Type Decision Tree

**Purpose**: Select the right landing page type in under 60 seconds. No guessing.

---

## How to Use This Tree

Start with Question 1. Follow the path based on your answer. You'll land on a page type recommendation in 3-4 questions.

If you're building for multiple keyword groups, run the tree once per group. Different keywords often need different page types. That's the whole point.

---

## Question 1: What is the buyer's awareness level?

Think about the person typing the search query. Where are they?

- **They don't know they have a problem** - UNAWARE (go to Q2-U)
- **They know the problem but not solutions** - PROBLEM-AWARE (go to Q2-P)
- **They know solutions exist, researching options** - SOLUTION-AWARE (go to Q2-S)
- **They know your product, not convinced yet** - PRODUCT-AWARE (go to Q2-PR)
- **Ready to buy, just need the push** - MOST-AWARE (go to Q2-M)

Not sure? Here's a shortcut. Look at the search query:
- "How to..." or "Why does..." = Problem-aware
- "Best [product]" or "[product] vs" = Solution-aware
- "[Your brand] review" = Product-aware
- "Buy [your product]" = Most-aware
- Broad informational ("what is...") = Unaware or Problem-aware

---

## Q2-U: Unaware Buyer Path

The buyer doesn't know they have a problem. You need to create the awareness before you can sell anything.

**What's your traffic source?**

- **Informational search queries** ("what causes...", general topic browsing)
  - Do you have a compelling origin story or transformation narrative?
    - YES → **Story Page** (narrative-driven, problem reveal through experience)
    - NO → **Advertorial** (educational content that looks like a blog post)

- **Display or YouTube ads** (interruption-based, cold audience)
  - Do you have video assets?
    - YES → **VSL** (video does the heavy lifting for cold audiences)
    - NO → **Story Page** (narrative hooks work better than data for unaware audiences)

- **Social media traffic** (Facebook, Instagram, TikTok ads)
  - → **Advertorial** (social traffic responds to editorial-style content)

**Unaware buyer rules**: Always use long-form (2,500-4,000 words). Don't mention your product before the halfway point. Lead with curiosity or story. Soft CTAs only.

---

## Q2-P: Problem-Aware Buyer Path

The buyer knows their problem. They feel the pain. They don't know solutions exist or which solutions work.

**What's the search intent type?**

- **"How to fix..." or "why does..." queries** (seeking understanding)
  - Is the problem complex with multiple contributing factors?
    - YES → **Listicle** ("7 Reasons Your [Problem] Won't Go Away")
    - NO → **Problem-Solution Page** (direct: here's the problem, here's the fix)

- **"Best way to..." or "how to improve..." queries** (seeking methods)
  - Do you have a step-by-step process to teach?
    - YES → **Guide** (comprehensive how-to that positions your product as the recommended tool)
    - NO → **Advertorial** (educational content that bridges to your product naturally)

- **"[Problem] solutions" or "[issue] help" queries** (seeking relief)
  - Can you quantify the cost of the problem with specific numbers?
    - YES → **Problem-Solution Page** (agitate with real cost data, then present the fix)
    - NO → **Advertorial** (educate first, solve second)

- **Display or social traffic** (cold-warm, problem-focused targeting)
  - → **Listicle** (numbered formats get higher completion rates from interruptive traffic)

**Problem-aware buyer rules**: Agitate the pain before introducing solutions. 2,000-3,000 words. Introduce your product in the second half, not the first paragraph. Educational CTAs ("See what works").

---

## Q2-S: Solution-Aware Buyer Path

The buyer knows solutions exist. They're comparing options. They haven't chosen yours yet.

**What's the buyer's primary question?**

- **"Which product is right for me?"** (personalization seekers)
  - Do you have a product catalog with multiple options?
    - YES → **Quiz** (interactive assessment that recommends the right product)
    - NO → **Guide** (walk them through selection criteria where your product wins)

- **"Best [product category]" or "top [products]"** (comparison shoppers)
  - Are you confident your product can win an objective comparison?
    - YES → **Editorial** (Wirecutter-style, neutral-feeling, your product as #1)
    - NO → **Roundup** (curated picks, position your product's strengths in the right context)

- **"How does [solution type] work?"** (mechanism seekers)
  - → **Guide** (explain the process, position your product as the best way to execute it)

- **"[Category] for [specific use case]"** (niche seekers)
  - → **Roundup** (curated collection focused on their specific use case)

- **Retargeting traffic** (they've visited before, browsing competitors)
  - Do you have competitor data to compare against?
    - YES → **Comparison (Us vs Them)** (factual side-by-side)
    - NO → **Editorial** (broader category comparison that favors your strengths)

**Solution-aware buyer rules**: Don't re-explain the problem - they know it. 1,500-2,500 words. Focus on differentiation and mechanism. Comparison CTAs ("See why we're different").

---

## Q2-PR: Product-Aware Buyer Path

The buyer knows your product. They're not sold yet. Something is holding them back - objections, trust gaps, or a competitor offer.

**What's blocking the purchase?**

- **Trust/credibility gap** ("does [product] work?", "[brand] reviews", "is [product] worth it?")
  - Do you have strong testimonials and case studies with specific metrics?
    - YES → **Social-Proof Page** (wall of evidence, minimal selling)
    - NO → **Review Page** (structured analysis with pros, cons, methodology)

- **Competitor comparison** ("[your product] vs [competitor]", "switching from [competitor]")
  - Do you have factual, verifiable differentiators?
    - YES → **Comparison (Us vs Them)** (head-to-head, factual, you control the narrative)
    - NO → **Social-Proof Page** (let customer results speak instead of feature comparisons)

- **Price objection** ("[product] worth the price?", "cheaper alternative to...")
  - → **Review Page** (detailed analysis that justifies value through evidence and ROI)

- **Retargeting visitors who didn't convert**
  - Do you have video assets (product demo, testimonial video)?
    - YES → **VSL** (video removes friction that text couldn't)
    - NO → **Social-Proof Page** (proof stack they didn't see on the first visit)

**Product-aware buyer rules**: 800-1,500 words. Lead with proof, not education. Handle their specific objection directly. Proof-backed CTAs ("See results").

---

## Q2-M: Most-Aware Buyer Path

The buyer is ready to purchase. They've done the research. They want to buy. Don't get in their way.

**What's driving this visit?**

- **Brand search or Shopping ads** (direct purchase intent)
  - → **Lander** (direct response, one goal, remove all friction)

- **Email offer or promotion** (they already know and trust you)
  - → **Lander** (price, offer, CTA, guarantee - nothing else needed)

- **Retargeting with special offer** (final push)
  - Do you have a video pitch or product demo?
    - YES → **VSL** (video + offer = highest conversion for warm-hot traffic)
    - NO → **Lander** (clean, fast, frictionless)

- **Abandoned cart follow-up**
  - → **Lander** (they already selected the product - just remove the last friction point)

**Most-aware buyer rules**: 500-1,000 words maximum. Direct offer. Price. Deadline (if legitimate). Risk reversal. Remove every friction point. Don't educate. Close.

---

## Edge Cases

### "I'm not sure about the awareness level"

Default to one level LOWER than you think. It's better to over-educate than under-educate. An advertorial for a product-aware buyer is slightly slower. A lander for a problem-aware buyer is a complete miss.

### "My keyword targets multiple awareness levels"

Build for the DOMINANT awareness level. If 70% of searchers for "best moisturizer" are solution-aware, build a solution-aware page. The 30% who are more or less aware will still get value.

### "I want to test multiple page types for the same keyword"

Good instinct. Build 2-3 formats and split test. We've seen listicles outperform advertorials by 2.3x for one brand's audience and underperform by 40% for another. The decision tree gives you the best starting point. Testing confirms it.

### "My product is B2B, not e-commerce"

The awareness framework still applies. The page types still work. Adjust word counts upward (B2B buyers tolerate longer content) and lean toward Guide, Editorial, and Comparison formats. Quizzes and Roundups work well for B2B lead gen.

---

## Quick Reference Matrix

| Awareness Level | Traffic Temp | Best Page Types | Word Count | CTA Style | Lead Type |
|-----------------|-------------|-----------------|------------|-----------|-----------|
| Unaware | Cold | Story, Advertorial | 2,500-4,000 | Soft ("Learn more") | Story, Secret |
| Problem-Aware | Cold/Warm | Advertorial, Listicle, Problem-Solution, Guide | 2,000-3,000 | Educational ("See what works") | Problem-Solution, Secret |
| Solution-Aware | Warm | Guide, Editorial, Roundup, Quiz, Comparison | 1,500-2,500 | Differentiation ("See why we're different") | Proclamation, Promise |
| Product-Aware | Warm/Hot | Comparison, Social-Proof, Review, VSL | 800-1,500 | Proof-backed ("See results") | Promise, Problem-Solution |
| Most-Aware | Hot | Lander, VSL | 500-1,000 | Direct ("Buy now") | Offer, Promise |

---

## Page Type Summary Table

| # | Page Type | Best Awareness | Traffic Temp | Typical CPC vs Product Keywords | Volume vs Product Keywords |
|---|-----------|---------------|-------------|--------------------------------|---------------------------|
| 1 | Advertorial | Unaware, Problem-Aware | Cold | 40-80% cheaper | 10-100x more |
| 2 | Listicle | Problem-Aware | Cold/Warm | 30-60% cheaper | 5-50x more |
| 3 | Comparison | Product-Aware | Warm/Hot | Variable (competitor bidding) | Depends on competitor awareness |
| 4 | Guide | Problem-Aware, Solution-Aware | Cold/Warm | 30-60% cheaper | 5-50x more |
| 5 | Quiz | Solution-Aware | Warm | 20-40% cheaper | 2-10x more |
| 6 | Social-Proof | Product-Aware | Warm/Hot | Same tier | Same tier |
| 7 | Roundup | Solution-Aware | Warm | 20-40% cheaper | 2-10x more |
| 8 | VSL | Solution-Aware, Most-Aware | Warm/Hot | Same tier | Same tier |
| 9 | Story | Unaware | Cold | 40-80% cheaper | 10-100x more |
| 10 | Problem-Solution | Problem-Aware | Cold/Warm | 30-60% cheaper | 5-50x more |
| 11 | Lander | Most-Aware | Hot | Same tier (brand/product) | Lowest volume, highest intent |
| 12 | Review | Product-Aware | Hot | 20-40% cheaper | 2-10x more |
| 13 | Editorial | Solution-Aware | Cold/Warm | 30-60% cheaper | 5-50x more |

---

## Reference This

Run the decision tree every time you plan a new landing page or campaign. Takes 60 seconds. Saves weeks of testing the wrong format.

The most expensive mistake in landing pages isn't bad copy. It's the right copy on the wrong page type.

---

---

## Worked Example

**Business**: DTC brand selling posture correctors ($59). Google Ads budget: $15K/month. Running the decision tree for 2 keyword groups.

### Keyword 1: "how to fix rounded shoulders"

**Q1**: Buyer doesn't know about posture correctors specifically - searching for a solution to a problem they understand -  **PROBLEM-AWARE** -  Q2-P

**Q2-P**: "How to fix..." query (seeking methods). Do you have a step-by-step process? Yes - 4-week posture correction program -  **Guide** (comprehensive how-to that positions product as the recommended tool)

**Validation**:
- Page type matches awareness: Guide = Problem-Aware/Solution-Aware (yes)
- Word count: 2,500-3,000 (cold-warm range)
- CTA: Educational - "See the 4-week correction program" (yes)
- Proof available: before/after posture photos from 3,200 customers (yes)
- Product introduced in second half of the guide (after teaching the method)

**Result**: Build a **Guide** page. Teach the posture correction method, introduce the corrector as the recommended tool in week 2 of the program.

### Keyword 2: "[brand name] posture corrector review"

**Q1**: They know the product, searching for validation -  **PRODUCT-AWARE** -  Q2-PR

**Q2-PR**: Trust/credibility gap - "is [brand] worth it?" Do you have strong testimonials with specific metrics? Yes - 3,200 reviews, 4.6 stars, 89% report improvement within 2 weeks -  **Social-Proof Page**

**Validation**:
- Page type matches awareness: Social-Proof = Product-Aware (yes)
- Word count: 1,500-2,000 (warm-hot range)
- CTA: Proof-backed - "See results from 3,200+ users"
- Abundant proof: reviews, before/after photos, survey data

**Result**: Build a **Social-Proof Page**. Wall of evidence organized by concern (rounded shoulders, desk pain, workout posture).

### Edge Case: "posture corrector vs chiropractor"

**Q1**: Comparing solutions -  **SOLUTION-AWARE** -  Q2-S

**Q2-S**: "Which is right for me?" but only 1 product (not a catalog) -  Can't build a Quiz. Confident the product wins an objective comparison? Yes, on cost: $59 one-time vs $75-150/session -  **Comparison (Us vs Them)**

**Result**: Build a **Comparison** page. "$59 once vs $3,600/year in chiropractic visits. Side-by-side comparison of cost, convenience, and outcomes."

---

## Your Turn

Run the decision tree for each of your keyword groups. Start at Q1, follow the path, then validate at Q4 before building.

| Keyword | Q1 Answer | Q2 Answer | Page Type | Word Count | CTA Style |
|---------|-----------|-----------|-----------|------------|-----------|
| _______ | _________ | _________ | _________ | __________ | _________ |
| _______ | _________ | _________ | _________ | __________ | _________ |
| _______ | _________ | _________ | _________ | __________ | _________ |

---

## Interpretation Guide

| Decision Tree Result | What It Means | Watch Out For |
|---------------------|--------------|---------------|
| Advertorial or Story recommended | You need long-form content (2,500-4,000 words) with late product reveal | If you can't create quality long-form, move to Listicle (shorter format for same awareness level) |
| Quiz recommended | Interactive format works best for your multi-product catalog | If you have fewer than 5 products, a Guide or Roundup serves the same purpose with less dev work |
| Same page type for all keywords | Your keywords might be too narrow in awareness range | Expand to cover adjacent awareness levels for more traffic opportunity |
| Lander recommended | Hot traffic, short page, direct offer | Don't over-build - 500-1,000 words max. Adding education to a Lander kills conversion for ready-to-buy traffic |

*Part of The Landing Page Conversion Kit. C.L.I.C.K. Framework.*


# Copy Template Library

**Purpose**: One complete copy template for each of the 13 page types. Sit down with your product info and produce a first draft using these structures.

Each template includes section-by-section guidance, word counts, Cialdini principles to deploy, and example opening lines. Not wireframes. Actual copy structures.

---

## How to Use These Templates

1. Run the Decision Tree to identify your page type
2. Find that page type's template below
3. Fill in each section with your product's details
4. Run every headline through the 3-Rule Filter (Visualizable, Falsifiable, Unique)
5. Check social proof and CTA placement against the guidance
6. Score the draft against the mobile optimization checklist

Don't skip sections. Don't reorder them. The sequence is the strategy. Each section builds on the previous one psychologically.

---

## Template 1: Advertorial

**Best for**: Informational, problem-aware searches ("how to fix [problem]", "does [solution] work")
**Awareness level**: Unaware to Problem-Aware
**Recommended word count**: 2,500-4,000 words
**Key principle**: Look like a blog, work like direct response. Don't mention your product before Section 5.

### Section 1: Hook + Establish the Problem
- **Purpose**: Stop the scroll. Make the reader feel seen.
- **Word count**: 200-400 words
- **What to write**: Open with a specific, relatable scenario the reader is living right now. Use customer language from reviews and forums. Describe symptoms, not solutions. Make them nod.
- **Cialdini principles**: Unity ("we're in this together"), Curiosity (open a knowledge gap)
- **Example opening**: "You're spending $15K a month on Google Ads. Clicks come in. But your conversion rate hasn't moved in four months - and you've tried everything the agency suggested."
- **CTA**: None. Too early.

### Section 2: Why Common Solutions Fail
- **Purpose**: Build credibility by showing you understand the problem deeply.
- **Word count**: 300-500 words
- **What to write**: List 2-3 common approaches the reader has likely tried. Explain WHY each one doesn't work. This isn't about trashing solutions - it's about showing the mechanism behind the failure.
- **Cialdini principles**: Authority (demonstrate deep knowledge), Loss Aversion (show the cost of each failed approach)
- **Example opening**: "You've probably tried the standard playbook. Better headlines. Cleaner layouts. Faster load times. Maybe even a $3,000/month CRO agency. Here's why none of it worked."

### Section 3: The Real Solution (Concept)
- **Purpose**: Introduce the solution CATEGORY, not your product.
- **Word count**: 400-600 words
- **What to write**: Explain the mechanism behind the real fix. Why does this approach work when others don't? Use data to support the concept. The reader should understand the principle before you introduce your product.
- **Cialdini principles**: Authority (data, specifics), Commitment (small yeses - "makes sense, right?")
- **Example opening**: "The issue isn't your page copy. It's the mismatch between what the searcher wants and what your page gives them."

### Section 4: What to Look For in a Solution
- **Purpose**: Set buying criteria that favor your product.
- **Word count**: 200-400 words
- **What to write**: Give the reader a framework for evaluating options. 3-5 criteria that any good solution should meet. These criteria should naturally describe your product's strengths.
- **Cialdini principles**: Commitment (they agree to criteria before seeing your product), Anchoring (set the standard)
- **Example opening**: "If you're going to invest in this approach, here's what to look for."

### Section 5: What We Recommend (Product Introduction)
- **Purpose**: Introduce your product as the natural answer to the criteria from Section 4.
- **Word count**: 300-500 words
- **What to write**: Bridge from the criteria to your product. Show how it meets each criterion. Use specific features matched to specific benefits. This should feel like a logical conclusion, not a pitch.
- **Cialdini principles**: Consistency (they agreed to the criteria - your product matches), Liking (introduce yourself, be relatable)
- **Example opening**: "After testing across 160+ accounts, we built a system that hits every one of these markers."

### Section 6: Social Proof
- **Purpose**: Remove doubt. Prove the product works for people like the reader.
- **Word count**: 200-400 words
- **What to write**: 2-3 testimonials or case studies with specific metrics. Match the social proof to the reader's situation. Include before/after data.
- **Cialdini principles**: Social Proof (others did it), Authority (results speak)
- **Placement**: After the product introduction, before the CTA.

### Section 7: CTA + Risk Reversal
- **Purpose**: Convert. Remove the last friction point.
- **Word count**: 100-200 words
- **What to write**: Clear CTA with soft language (appropriate for cold traffic). Strong guarantee. Restate the key benefit in one sentence.
- **Cialdini principles**: Reciprocity (you gave value, now ask), Loss Aversion ("every month without this costs...")
- **Example opening**: "The kit costs less than what most accounts waste on bounced clicks in a single day."

---

## Template 2: Listicle

**Best for**: Problem-aware searches about mistakes, reasons, or solutions
**Awareness level**: Problem-Aware
**Recommended word count**: 2,000-3,000 words
**Key principle**: Each list item is a mini-advertorial. Educate per item, then bridge to your product naturally at the end.

### Section 1: Introduction
- **Purpose**: Frame the problem. Promise the list.
- **Word count**: 150-250 words
- **What to write**: State the problem clearly. Tell them what the list covers. Set expectations for what they'll know by the end.
- **Cialdini principles**: Curiosity (what are the items?), Loss Aversion (they might be making these mistakes)
- **Example opening**: "Most e-commerce brands make the same landing page mistakes. We've audited 160+ accounts. These 7 show up in nearly every one."

### Section 2: List Items (5-7 Items)
- **Purpose**: Educate. Build authority. Create "aha" moments.
- **Word count**: 250-350 words per item (1,500-2,000 total)
- **What to write per item**: Name the mistake/reason/solution. Explain WHY it matters with data. Give the specific fix. Each item should stand alone as valuable content. Vary the structure across items - not every one needs the same format.
- **Cialdini principles**: Authority (data per item), Commitment (each item they agree with = closer to your product)
- **Example opening (item 1)**: "Mistake #1: Sending all traffic to product pages. Informational searchers bounce at 87% on product pages. That's not a conversion problem - it's a format problem."

### Section 3: Bridge to Product
- **Purpose**: Natural transition from education to recommendation.
- **Word count**: 200-300 words
- **What to write**: Summarize the pattern across all list items. Show how your product solves the underlying theme. This shouldn't feel forced - the list should logically lead here.
- **Cialdini principles**: Consistency (they've agreed to the problems, now here's the solution), Social Proof

### Section 4: Social Proof + CTA
- **Purpose**: Prove and close.
- **Word count**: 200-350 words
- **What to write**: 1-2 short case studies or testimonials. CTA with benefit language. Risk reversal.
- **Cialdini principles**: Social Proof, Reciprocity (you just gave them massive free value)
- **CTA placement**: End of page, after social proof.

---

## Template 3: Comparison (Us vs Them)

**Best for**: Competitor brand searches ("[competitor] alternative", "[product] vs [competitor]")
**Awareness level**: Product-Aware
**Recommended word count**: 1,000-2,000 words
**Key principle**: Be factual. All competitor claims must be verifiable. Dishonesty here destroys trust and creates legal risk.

### Section 1: Headline + Quick Comparison
- **Purpose**: Answer the search query immediately above the fold.
- **Word count**: 100-150 words
- **What to write**: Clear headline with both brand names. 3-5 bullet point summary of key differences. The reader should get the TL;DR in 10 seconds.
- **Cialdini principles**: Anchoring (set the comparison frame), Authority
- **Example opening**: "Thinking about switching from [Competitor]? Here's an honest breakdown of how we compare on the metrics that matter."

### Section 2: Comparison Table
- **Purpose**: Visual, scannable differentiation.
- **Word count**: 50-100 words (the table does the work)
- **What to write**: Side-by-side table with 6-10 comparison criteria. Include features, pricing, and benefits. Bold your advantages. Be honest about areas where you're similar or where they win on a specific metric.
- **Cialdini principles**: Anchoring, Commitment (they engage with each row)
- **Social proof placement**: Star ratings or review counts in the table if available.

### Section 3: Your USP Deep Dive
- **Purpose**: Expand on 2-3 differentiators where you win clearly.
- **Word count**: 300-500 words
- **What to write**: Pick your strongest 2-3 differentiators. Explain each in detail with specific data. Don't cover everything - focus on what matters most to the buyer.
- **Cialdini principles**: Authority (specific data), Future Pacing ("imagine having [your advantage]")

### Section 4: Competitor Weaknesses
- **Purpose**: Address why buyers consider switching.
- **Word count**: 200-300 words
- **What to write**: Factual. Verifiable. Sourced from public reviews and publicly available information. Reframe weaknesses as areas where your approach differs - not attacks.
- **Cialdini principles**: Loss Aversion (what they lose by staying), Social Proof (other switchers)

### Section 5: Switcher Testimonials
- **Purpose**: Social proof specifically from people who made the switch.
- **Word count**: 150-250 words
- **What to write**: 2-3 testimonials from people who switched from the competitor. Include why they switched and what improved.
- **Cialdini principles**: Social Proof (people like them switched), Unity (they're joining a group)
- **Placement**: After competitor weaknesses, before CTA.

### Section 6: CTA + Risk Reversal
- **Purpose**: Make the switch easy.
- **Word count**: 100-150 words
- **What to write**: Direct CTA. Address switching friction specifically. Guarantee. Make it clear the switch is low-risk.
- **Cialdini principles**: Loss Aversion, Scarcity (if applicable)

---

## Template 4: Guide

**Best for**: Tutorial and process searches ("how to [do thing]", "[topic] guide")
**Awareness level**: Problem-Aware to Solution-Aware
**Recommended word count**: 2,000-3,500 words
**Key principle**: Teach genuinely. Your product shows up as the recommended tool, not the lesson.

### Section 1: Introduction + Scope
- **Purpose**: Tell them exactly what they'll learn and who this guide is for.
- **Word count**: 150-250 words
- **What to write**: State what the guide covers. Who it's for. What they'll be able to do after reading. Set clear expectations.
- **Cialdini principles**: Commitment (they invest time = more likely to act), Reciprocity (free value)
- **Example opening**: "This guide covers the exact process for matching landing page formats to search intent - step by step. You'll know which format to build, why it works, and how to measure results."

### Section 2: Step-by-Step Process (5-10 Steps)
- **Purpose**: Core education. Make them capable.
- **Word count**: 1,200-2,000 words (200-300 per step)
- **What to write per step**: Clear instruction. Why this step matters. Common pitfalls at this step. Mention tools/products that help (your product featured naturally alongside others).
- **Cialdini principles**: Authority (deep knowledge), Commitment (each completed step = investment)

### Section 3: Common Pitfalls
- **Purpose**: Show you've been through this. Save them from your mistakes.
- **Word count**: 200-400 words
- **What to write**: 3-5 mistakes that people make when implementing this process. How to avoid each one. Reference specific consequences.
- **Cialdini principles**: Authority (been there), Loss Aversion (avoid these costs)

### Section 4: Results to Expect + Timeline
- **Purpose**: Set realistic expectations. Build confidence.
- **Word count**: 150-250 words
- **What to write**: What results to expect at Week 1, Month 1, Month 3. Realistic ranges, not promises. Factors that affect outcomes.
- **Cialdini principles**: Future Pacing, Social Proof (these are real results from real users)

### Section 5: Recommended Tools (Product Featured)
- **Purpose**: Natural product placement.
- **Word count**: 200-300 words
- **What to write**: List tools that make the process easier. Your product featured prominently with explanation of how it specifically helps at the steps you just taught.
- **Cialdini principles**: Reciprocity (you taught them free, now recommend), Consistency

### Section 6: CTA
- **Purpose**: Convert the educated reader.
- **Word count**: 100-150 words
- **What to write**: Benefit-focused CTA. Tie back to the process they just learned. Your product as the shortcut.
- **CTA placement**: End of guide. Optional soft CTA at the midpoint.

---

## Template 5: Quiz

**Best for**: "Which [product] is right for me?" personalization seekers
**Awareness level**: Solution-Aware
**Recommended word count**: 800-1,200 words (plus quiz mechanics)
**Key principle**: Micro-commitments. Each question is a small yes. By the recommendation, they're invested.

### Section 1: Promise
- **Purpose**: Get them to start the quiz.
- **Word count**: 50-100 words
- **What to write**: What they'll get (personalized recommendation). How long it takes (60 seconds). What's required (nothing).
- **Cialdini principles**: Curiosity, Commitment (start = likely to finish)
- **Example opening**: "Find the right [product] for your [situation] in 60 seconds. No email required."

### Section 2: Questions (5-8 Questions)
- **Purpose**: Qualify the visitor and build psychological investment.
- **Word count**: 20-40 words per question
- **What to write**: Progressive qualifying questions. Start easy (broad situation), get specific (needs, preferences, budget). Each question should feel relevant and quick. Multiple choice only - no text inputs.
- **Cialdini principles**: Commitment (each answer = investment), Consistency (answers build a profile)

### Section 3: Personalized Recommendation
- **Purpose**: Deliver the product recommendation based on their answers.
- **Word count**: 200-400 words
- **What to write**: "Based on your answers..." with specific reasoning. Why this product/option matches their profile. Key benefits relevant to their specific answers. This should feel genuinely personalized, not a generic pitch.
- **Cialdini principles**: Consistency (matches their self-reported needs), Authority (the system chose this for them)

### Section 4: Social Proof (Segment-Specific)
- **Purpose**: Prove this recommendation works for people like them.
- **Word count**: 100-200 words
- **What to write**: 1-2 testimonials from people who match their quiz profile. Specific results.
- **Cialdini principles**: Social Proof (people like them got results)
- **Placement**: Between recommendation and CTA.

### Section 5: CTA
- **Purpose**: Convert.
- **Word count**: 50-100 words
- **What to write**: Direct CTA for the recommended product. Risk reversal. Urgency (if legitimate).
- **Cialdini principles**: Scarcity (if applicable), Reciprocity (you just gave them a free recommendation)

---

## Template 6: Social-Proof Page

**Best for**: Product-aware searches where trust is the bottleneck ("[brand] reviews", "does [product] work")
**Awareness level**: Product-Aware
**Recommended word count**: 800-1,500 words
**Key principle**: Minimal selling. Maximum evidence. Let the proof do the work.

### Section 1: Aggregate Result Headline
- **Purpose**: Lead with the strongest number.
- **Word count**: 50-100 words
- **What to write**: One clear headline with your aggregate result. Subheadline with sample size.
- **Cialdini principles**: Social Proof (scale), Authority (the number itself)
- **Example opening**: "12,000+ customers. Average 3.2x improvement in conversion rates. Here are their stories."

### Section 2: Case Study Grid (5-10 Stories)
- **Purpose**: Prove results across different situations.
- **Word count**: 400-600 words (60-80 per case study)
- **What to write**: Mini case studies. Each one: Who they are, what their situation was, what happened. Specific metrics. Vary the customer types so visitors find someone like them.
- **Cialdini principles**: Social Proof (volume), Unity (varied customers = "someone like me")
- **Social proof placement**: This IS the social proof section.

### Section 3: Before/After Evidence
- **Purpose**: Visual proof of transformation.
- **Word count**: 100-200 words
- **What to write**: Before/after data in table or visual format. Screenshots if available. Real numbers, not percentages only.
- **Cialdini principles**: Contrast Effect, Future Pacing

### Section 4: FAQ (Common Concerns)
- **Purpose**: Handle remaining objections.
- **Word count**: 200-300 words
- **What to write**: 4-6 questions addressing why someone who's seen all this proof might still hesitate. Price, time investment, compatibility, refund policy.
- **Cialdini principles**: Commitment (each answered objection removes a barrier)

### Section 5: CTA
- **Purpose**: Convert.
- **Word count**: 50-100 words
- **What to write**: Direct CTA. Restate the aggregate result. Guarantee.
- **CTA placement**: After FAQ. Also consider a sticky CTA that scrolls with the page.

---

## Template 7: Roundup

**Best for**: Solution-aware browsers ("best [products] for [use case]")
**Awareness level**: Solution-Aware
**Recommended word count**: 2,000-3,500 words
**Key principle**: Be comprehensive and credible. Your product featured prominently but alongside legitimate alternatives.

### Section 1: Category Introduction
- **Purpose**: Frame the category and your selection criteria.
- **Word count**: 150-250 words
- **What to write**: What this roundup covers. How you selected and evaluated the products. Your criteria. Who this roundup is for.
- **Cialdini principles**: Authority (methodology), Commitment (trust your framework)
- **Example opening**: "We tested 12 landing page builders over 3 months. Here are the 7 worth your money - ranked by conversion rate, ease of use, and price."

### Section 2: Quick Picks Summary
- **Purpose**: Scannable summary for impatient readers.
- **Word count**: 100-150 words
- **What to write**: Best Overall (your product), Best Value, Best for [Specific Use Case]. 1-2 lines each.
- **Cialdini principles**: Anchoring (your product first), Commitment
- **Social proof placement**: Star ratings or aggregate scores in the summary.

### Section 3: Individual Product Reviews (5-10 Products)
- **Purpose**: Detailed evaluation of each product.
- **Word count**: 200-300 words per product (your product gets 300-400)
- **What to write**: Pros, cons, best for whom, pricing, key differentiator. Your product first with the most detail. Be genuinely useful about all products.
- **Cialdini principles**: Authority (thorough knowledge), Liking (honest, helpful)

### Section 4: Comparison Table
- **Purpose**: Side-by-side quick reference.
- **Word count**: Table format
- **What to write**: All products compared on 5-8 criteria. Your product's strengths highlighted.
- **Cialdini principles**: Anchoring (your product sets the standard)

### Section 5: Buying Guide + CTA
- **Purpose**: Help them decide and convert.
- **Word count**: 150-250 words
- **What to write**: "If you need X, go with Y" decision guidance. Your product as the top recommendation with direct CTA.
- **CTA placement**: After buying guide. Link back to your product throughout individual reviews.

---

## Template 8: VSL (Video Sales Letter)

**Best for**: Complex products, demo-friendly products, video-first audiences
**Awareness level**: Solution-Aware to Most-Aware
**Recommended word count**: 500-1,000 words (supporting text - video carries the page)
**Key principle**: The video does the heavy lifting. Supporting text catches non-watchers and reinforces key points.

### Section 1: Headline + Video Embed
- **Purpose**: Get them to press play.
- **Word count**: 50-100 words (headline + 1-2 line setup)
- **What to write**: Compelling headline with specific outcome. Brief setup text that creates urgency to watch. Video embed prominently placed.
- **Cialdini principles**: Curiosity (what will the video reveal), Authority
- **Example opening**: "Watch: How 160+ e-commerce brands doubled landing page conversions with one format change. 4 minutes."

### Section 2: Key Points Summary
- **Purpose**: Catch people who don't watch or skim.
- **Word count**: 150-250 words
- **What to write**: 5-7 bullet points covering the video's main content. Each bullet should stand alone as compelling. This isn't a transcript - it's the highlights.
- **Cialdini principles**: Social Proof (results mentioned), Commitment (they engage with content)

### Section 3: Social Proof
- **Purpose**: Reinforce what the video claimed.
- **Word count**: 150-200 words
- **What to write**: 2-3 short testimonials. Ideally video testimonial thumbnails with pull quotes if available.
- **Cialdini principles**: Social Proof, Authority
- **Placement**: Below key points, above CTA.

### Section 4: CTA
- **Purpose**: Convert.
- **Word count**: 50-100 words
- **What to write**: Direct CTA. Repeat the core promise. Risk reversal.
- **CTA placement**: Below video (visible without scroll if possible), after social proof, and consider a sticky bar.

---

## Template 9: Story Page

**Best for**: Unaware audiences. Hook through experience, bridge to product.
**Awareness level**: Unaware
**Recommended word count**: 2,500-4,000 words
**Key principle**: The story IS the sell. Don't break the narrative to pitch. Let the product emerge naturally from the experience.

### Section 1: Personal Hook
- **Purpose**: Hook through relatable experience.
- **Word count**: 200-400 words
- **What to write**: Start with a specific moment. A date, a place, a situation. Make it vivid and real. The reader should feel like they're in the story with you.
- **Cialdini principles**: Liking (vulnerability), Unity (shared experience)
- **Example opening**: "Last March, we got the monthly report for a $50K/month account. Four months of optimizing. ROAS hadn't moved a tenth of a point."

### Section 2: Problem Escalation
- **Purpose**: Build tension. Show the problem getting worse.
- **Word count**: 300-500 words
- **What to write**: What you tried. How it failed. The cost of failure. Escalate the stakes. The reader should feel the frustration and urgency you felt.
- **Cialdini principles**: Loss Aversion (the cost of failure), Curiosity (how did this resolve?)

### Section 3: The Turning Point
- **Purpose**: The "aha moment" that changed everything.
- **Word count**: 300-500 words
- **What to write**: What you discovered. How you discovered it. Why it was different from everything else you'd tried. Make the insight clear and memorable.
- **Cialdini principles**: Authority (the insight itself), Curiosity (what happened next?)

### Section 4: Transformation with Results
- **Purpose**: Show the outcomes. Data-backed.
- **Word count**: 400-600 words
- **What to write**: What happened after implementing the discovery. Specific metrics. Timeline. Multiple proof points. This is where data enters the story.
- **Cialdini principles**: Social Proof (results), Authority (data), Future Pacing

### Section 5: "If You're Like Me..." Bridge
- **Purpose**: Connect the story to the reader's situation.
- **Word count**: 200-300 words
- **What to write**: Transition from your experience to their situation. "If you're dealing with the same thing..." Introduce the product as the systematized version of what you discovered.
- **Cialdini principles**: Unity (same situation), Consistency (you'd want the same solution)

### Section 6: CTA
- **Purpose**: Convert.
- **Word count**: 100-200 words
- **What to write**: Soft CTA appropriate for cold traffic. Strong risk reversal. Restate the transformation.
- **CTA placement**: End of story. Optional soft mention in the bridge section.

---

## Template 10: Problem-Solution

**Best for**: Direct problem acknowledgment followed by structured solution
**Awareness level**: Problem-Aware
**Recommended word count**: 1,500-2,500 words
**Key principle**: No storytelling, no education beyond what's necessary. Straight to the point.

### Section 1: Problem Statement
- **Purpose**: Mirror the reader's exact problem.
- **Word count**: 100-200 words
- **What to write**: State the problem in 1-2 sentences. Quantify the cost. Use customer language. Be direct.
- **Cialdini principles**: Loss Aversion (the cost), Unity (you understand them)
- **Example opening**: "Your Google Ads get clicks. Your landing pages don't convert. At 2-3% conversion on $25K/month spend, you're losing $24,000+ in potential revenue every month."

### Section 2: Why It Happens
- **Purpose**: Explain the mechanism behind the problem.
- **Word count**: 300-500 words
- **What to write**: The root cause. Why their current approach fails. What they're not seeing. Use data to support your explanation.
- **Cialdini principles**: Authority (deep understanding), Curiosity (the real reason)

### Section 3: The Fix
- **Purpose**: Present your solution.
- **Word count**: 400-600 words
- **What to write**: Your product/solution as the fix. How it addresses the root cause from Section 2. Features mapped to benefits. Clear mechanism of action.
- **Cialdini principles**: Consistency (the fix matches the problem), Authority

### Section 4: Proof
- **Purpose**: Back up the solution with evidence.
- **Word count**: 200-400 words
- **What to write**: 2-3 case studies or data points. Before/after metrics. Specific results from real users.
- **Cialdini principles**: Social Proof, Authority
- **Social proof placement**: After the fix, before CTA.

### Section 5: CTA
- **Purpose**: Convert.
- **Word count**: 100-150 words
- **What to write**: Clear CTA. Benefit restatement. Risk reversal. Urgency if legitimate.
- **CTA placement**: End of page. Optional secondary CTA after Section 3.

---

## Template 11: Lander (Direct Response)

**Best for**: Most-aware, ready-to-buy traffic. Retargeting. Email campaigns.
**Awareness level**: Most-Aware
**Recommended word count**: 500-1,000 words
**Key principle**: One goal. Remove friction. Don't educate. Close.

### Section 1: Headline + Offer
- **Purpose**: Lead with the deal.
- **Word count**: 50-100 words
- **What to write**: Product name, price, key benefit in the headline. Offer details immediately visible. If there's a deadline, state it.
- **Cialdini principles**: Scarcity (if real deadline), Anchoring (value vs price)
- **Example opening**: "The Landing Page Conversion Kit - $197. 13 page types. Copy templates. Decision tree. Instant access."

### Section 2: Key Benefits
- **Purpose**: Reinforce the decision.
- **Word count**: 100-200 words
- **What to write**: 3-5 bullet points. Each bullet = one specific, tangible benefit. No fluff. No explanation needed - they already know what this is.
- **Cialdini principles**: Commitment (confirm their decision), Social Proof (if applicable)

### Section 3: Price + CTA
- **Purpose**: Make buying effortless.
- **Word count**: 50-100 words
- **What to write**: Clear price. Single CTA button. What happens after they click (instant access, shipping details, etc.).
- **Cialdini principles**: Cognitive Ease (simple process)
- **CTA placement**: Prominent. Above the fold if possible.

### Section 4: Risk Reversal
- **Purpose**: Remove the last objection.
- **Word count**: 50-100 words
- **What to write**: Guarantee. Return policy. Refund process. Make it simple and clear.
- **Cialdini principles**: Loss Aversion (reduce perceived risk)

### Section 5: Urgency (If Legitimate)
- **Purpose**: Create time pressure.
- **Word count**: 50-100 words
- **What to write**: Deadline. Limited quantity. Price increase date. ONLY if it's real. Fake urgency destroys trust.
- **Cialdini principles**: Scarcity (real only)

---

## Template 12: Review Page

**Best for**: Product research searches ("[product] review", "is [product] worth it?")
**Awareness level**: Product-Aware
**Recommended word count**: 1,500-2,500 words
**Key principle**: Objective tone. Include honest cons. Credibility comes from being balanced.

### Section 1: Review Summary + Verdict
- **Purpose**: Answer their question immediately.
- **Word count**: 100-200 words
- **What to write**: Rating or verdict upfront. 3-4 sentence summary. Who it's best for. Key strength.
- **Cialdini principles**: Authority (clear judgment), Anchoring (set expectations)
- **Example opening**: "Rating: 8.5/10. The Landing Page Conversion Kit is the most comprehensive page-type selection system we've tested. Best for e-commerce brands spending $3K+/month on Google Ads who need a systematic approach to landing pages."

### Section 2: Testing Methodology
- **Purpose**: Establish credibility for the review.
- **Word count**: 150-250 words
- **What to write**: How you tested. What criteria you used. How long you tested. This is what separates a real review from a paid endorsement.
- **Cialdini principles**: Authority (rigor), Commitment (they trust your process)

### Section 3: Pros (Detailed)
- **Purpose**: Highlight strengths with evidence.
- **Word count**: 300-500 words
- **What to write**: 4-6 pros, each with specific evidence or examples. Don't just list features - explain why they matter.
- **Cialdini principles**: Social Proof (results from using it), Authority

### Section 4: Cons (Honest)
- **Purpose**: Build trust through honesty.
- **Word count**: 200-300 words
- **What to write**: 2-3 genuine weaknesses. Reframe where possible ("X is a limitation, but here's the workaround" or "this won't matter if you're [target audience]"). Never hide real drawbacks.
- **Cialdini principles**: Liking (honesty builds trust), Authority (balanced judgment)

### Section 5: Who It's Best For / Not For
- **Purpose**: Help the reader self-qualify.
- **Word count**: 150-250 words
- **What to write**: Clear "This is for you if..." and "This isn't for you if..." lists. Help the wrong people opt out - this builds trust with the right people.
- **Cialdini principles**: Unity (identity match), Commitment (self-selection)

### Section 6: Final Verdict + CTA
- **Purpose**: Close the loop and convert.
- **Word count**: 100-200 words
- **What to write**: Restate the rating. Restate who it's for. CTA with risk reversal.
- **CTA placement**: After verdict. Also include CTA links throughout pros section where natural.

---

## Template 13: Editorial (Wirecutter-Style)

**Best for**: High-volume informational queries ("best [product] 2026", "top [category]")
**Awareness level**: Solution-Aware
**Recommended word count**: 2,500-4,000 words
**Key principle**: Neutral feel. Comprehensive. Your product wins through methodology, not bias.

### Section 1: Methodology + Testing Criteria
- **Purpose**: Establish editorial authority.
- **Word count**: 200-400 words
- **What to write**: How you selected products to test. Your evaluation criteria (4-6 criteria, weighted). How long you tested. Sample sizes if applicable. The reader should trust your process.
- **Cialdini principles**: Authority (rigor), Commitment (trust the framework)
- **Example opening**: "We evaluated 15 vitamin C serums across 6 criteria: ingredient quality, absorption rate, price per ml, packaging stability, skin tolerance, and visible results at 30 days."

### Section 2: Quick Picks
- **Purpose**: Scannable summary for the 60% who don't read everything.
- **Word count**: 150-250 words
- **What to write**: Top Pick (your product), Best Value, Best for [Specific Need]. 2-3 sentences each with the key differentiator.
- **Cialdini principles**: Anchoring (your product is the standard), Social Proof
- **CTA placement**: Link to product from each quick pick.

### Section 3: Detailed Reviews (All Products)
- **Purpose**: Thorough evaluation that rewards deeper reading.
- **Word count**: 1,500-2,500 words (150-250 per product, 300-400 for yours)
- **What to write**: Each product reviewed on all criteria. Honest pros and cons. Scores per criteria. Your product reviewed first and most thoroughly.
- **Cialdini principles**: Authority, Liking (honest about all products)

### Section 4: Comparison Table
- **Purpose**: Visual reference for comparison shoppers.
- **Word count**: Table format
- **What to write**: All products scored on all criteria. Your product's advantages visible at a glance. Include pricing.
- **Cialdini principles**: Anchoring, Cognitive Ease

### Section 5: Buying Guide + FAQ
- **Purpose**: Address remaining questions.
- **Word count**: 200-400 words
- **What to write**: "How to choose" guidance based on situation. 4-6 FAQ items. Help the reader make a confident decision.
- **Cialdini principles**: Reciprocity (useful information), Commitment

### Section 6: Final Recommendation + CTA
- **Purpose**: Close with authority.
- **Word count**: 100-200 words
- **What to write**: "Our top pick is..." with one-paragraph summary of why. Direct CTA.
- **CTA placement**: End of editorial. Also woven throughout quick picks and individual reviews.

---

## CTA Placement Summary

| Page Type | # of CTAs | Placement |
|-----------|-----------|-----------|
| Advertorial | 1-2 | End only (soft). Optional mid-page for warm readers. |
| Listicle | 1-2 | End. Optional after bridge section. |
| Comparison | 2-3 | After comparison table, after switcher testimonials, end. |
| Guide | 1-2 | End. Optional soft mention in tools section. |
| Quiz | 1 | After recommendation only. |
| Social-Proof | 2 | After case study grid, end. Sticky CTA recommended. |
| Roundup | 2-3 | In product #1 review, after comparison table, end. |
| VSL | 2 | Below video, end. Sticky bar recommended. |
| Story | 1-2 | End. Optional soft mention in bridge. |
| Problem-Solution | 2 | After the fix section, end. |
| Lander | 3+ | Above fold, after benefits, end. Sticky CTA. |
| Review | 2 | In pros section, after verdict. |
| Editorial | 3+ | Quick picks, product #1 review, comparison table, end. |

---

*Part of The Landing Page Conversion Kit. C.L.I.C.K. Framework.*


# Social Proof Section Formulas

**Purpose**: 15 formats for structuring social proof on landing pages. Match the formula to your evidence type, page type, and buyer awareness level.

Social proof isn't decoration. It's evidence. The format you choose determines how persuasive that evidence feels. A quote wall works differently than a before/after grid. Pick the format that matches what you have and where the buyer is.

---

## Format 1: Single Testimonial

**When to use**: You have one strong testimonial with a specific result. Works on any page type as a supporting element. Best for Product-Aware and Most-Aware buyers who need one clear piece of proof.

**Best page types**: Lander, Problem-Solution, Comparison
**Placement**: Near the CTA. After your product introduction. Between objection and action.

### Structure
```
"[Direct quote from customer - 2-3 sentences max. Include the specific result.]"

- [Full Name], [Role/Title], [Company or Context]
- Result: [One specific metric or outcome]
```

### Example
```
"We switched from sending all traffic to product pages and launched
3 advertorials. Within 3 weeks, our CPC dropped from $4.20 to $0.85
and conversion rates went from 2.1% to 3.8%."

- Sarah Chen, Head of Growth, VitaWell Supplements
- Result: 80% CPC reduction, 81% conversion rate improvement
```

### Minimum Requirements
- One real testimonial with permission to use
- Specific result (number, metric, or measurable outcome)
- Real name and context (anonymous testimonials are 40% less persuasive)

---

## Format 2: Comparison Testimony

**When to use**: You have a customer who can articulate the before AND after clearly. Works when the transformation is dramatic. Best for Problem-Aware buyers who need to see the contrast.

**Best page types**: Problem-Solution, Story, Advertorial
**Placement**: After you've described the problem (Section 2-3 of most templates). The testimony validates the problem and proves the solution.

### Structure
```
BEFORE:
"[Customer's own words describing their situation before your product.
Include specific numbers, frustrations, or failed attempts.]"

AFTER:
"[Customer's own words describing the transformation.
Include specific results, timeline, and how things changed.]"

- [Full Name], [Context]
- Timeline: [How long the transformation took]
```

### Example
```
BEFORE:
"We were spending $30K/month on Google Ads with a 1.8% conversion rate.
Tried three different CRO agencies. Nothing moved. I was ready to
cut our ad budget in half."

AFTER:
"Four weeks after launching comparison pages for competitor keywords,
we captured an entirely new traffic stream. $14K/month in incremental
revenue at $1.20 CPC instead of $5.60. Our overall ROAS went from
1.4x to 3.2x."

- Marcus Rivera, Co-Founder, GlowSkin DTC
- Timeline: 4 weeks from launch to results
```

### Minimum Requirements
- Customer who can articulate both states
- Specific before AND after metrics
- Clear timeline

---

## Format 3: Before-After Grid

**When to use**: You have multiple transformations and want to show pattern, not just one story. Works when you need to demonstrate consistency across different customer types.

**Best page types**: Social-Proof, Advertorial, Comparison
**Placement**: After your solution explanation. The grid proves the pattern you just described.

### Structure

| Customer | Before | After | Timeframe |
|----------|--------|-------|-----------|
| [Name/Segment] | [Key metric before] | [Key metric after] | [Duration] |
| [Name/Segment] | [Key metric before] | [Key metric after] | [Duration] |
| [Name/Segment] | [Key metric before] | [Key metric after] | [Duration] |
| [Name/Segment] | [Key metric before] | [Key metric after] | [Duration] |

### Example

| Brand | CPC Before | CPC After | Conversion Before | Conversion After | Timeline |
|-------|-----------|-----------|------------------|-----------------|----------|
| DTC Supplements ($5M/yr) | $4.20 | $0.85 | 2.1% | 3.8% | 3 weeks |
| Skincare DTC ($3M/yr) | $5.60 | $1.20 | 1.8% | 4.2% | 2 weeks |
| Home Goods ($4M/yr) | ROAS 2.1x | ROAS 3.4x | Flat 4 months | 62% improvement | 4 weeks |
| Fashion ($8M/yr) | $3.40 CPC | $0.95 CPC | 0% (missing traffic) | 3.1% | 3 weeks |

### Minimum Requirements
- 3+ transformations minimum (5+ is stronger)
- Consistent metrics across rows
- Real data (fabricated grids are obvious and destroy trust)

---

## Format 4: Aggregate Result

**When to use**: You have scale - large customer base, many data points. Works when the total number is more impressive than any individual story.

**Best page types**: Social-Proof, Lander, Editorial
**Placement**: Credibility bar (near the top), or as the opening statement of your social proof section.

### Structure
```
[Big Number]+ [audience]

[Aggregate metric]: [Specific result]

[Supporting detail in one sentence]
```

### Example
```
160+ e-commerce accounts

Average result: 40-80% CPC reduction on informational keywords

Brands running matched page types convert 2-4x higher than
product-page-only strategies, based on 160+ presell page deployments.
```

### Variations
- Counter style: "12,847 customers and counting"
- Milestone style: "$2M+ in attributable landing page revenue"
- Percentage style: "93% of users launch their first page within 2 weeks"

### Minimum Requirements
- Real aggregate data (verifiable)
- Sample size or scope stated
- One specific metric (not just "thousands of happy customers")

---

## Format 5: Expert Endorsement

**When to use**: You have a recognized authority figure who can vouch for your approach. Best for Unaware and Problem-Aware buyers who don't know you yet.

**Best page types**: Advertorial, Guide, Editorial
**Placement**: Early in the page (credibility section). After your first major claim. Before the reader decides whether to keep reading.

### Structure
```
"[Expert's quote about the approach or product.
Must be specific - not generic praise.]"

[Expert Name]
[Title/Credentials that establish authority]
[Optional: logo, headshot, or publication]
```

### Example
```
"Matching landing page format to search intent is the single
highest-impact conversion optimization you can make. Most brands
skip this entirely and wonder why their pages underperform."

Dr. Amanda Torres
CRO Director, Growth Analytics Lab
Author: "Conversion Architecture" (2024)
```

### Minimum Requirements
- Expert with recognizable credentials in the relevant field
- Specific endorsement (not "this is great!")
- Permission to use their name and quote

---

## Format 6: User-Generated Content

**When to use**: Your customers mention you on social media, in forums, or in reviews unprompted. Works because it feels authentic - you didn't ask for it.

**Best page types**: Social-Proof, Advertorial, Roundup
**Placement**: After your own claims. UGC validates that real people independently share positive experiences.

### Structure
```
[Screenshot of social post or review]
- [Platform] | [Date] | [Verified purchase badge if applicable]
- [Brief context if needed]
```

### Example
```
[Screenshot of tweet]
@ecomfounder: "Just implemented the advertorial format from
the conversion kit. Day 5 results: CPC went from $3.80 to $1.40.
Same ad budget, 2.7x more clicks. Still early but damn."

Twitter | Jan 15, 2026 | Verified buyer
```

### Minimum Requirements
- Real screenshots (not recreated or mocked up)
- Permission from the user (or public post with attribution)
- 3+ pieces minimum (one screenshot looks staged, three looks organic)

---

## Format 7: Case Study Mini

**When to use**: You have a full case study's worth of data but need to condense it for a landing page section. Works when you want depth without length.

**Best page types**: Advertorial, Comparison, Problem-Solution, Guide
**Placement**: After your solution description. The case study proves the solution works in a real scenario.

### Structure
```
[Customer name/segment]: [One-line result]

CONTEXT: [2-3 sentences on who they are and what their situation was]

ACTION: [2-3 sentences on what they did - what specifically they implemented]

RESULT: [2-3 sentences with specific metrics and timeline]
```

### Example
```
DTC Supplements Brand ($5M/yr): $28K/month in new revenue

CONTEXT: Spending $50K/month on Google Ads. All traffic going
to product pages. 2.1% conversion rate, $4.20 average CPC on
product keywords. Couldn't scale beyond branded and product terms.

ACTION: Used the decision tree to identify advertorials as the
right format for informational keywords. Built one advertorial
targeting "how to improve gut health" - 3,000 words, problem-aware
structure, reciprocity + authority principles.

RESULT: $0.85 average CPC (80% reduction). 3.8% conversion on the
advertorial. 12x more volume than product keywords. $28K/month in
new attributable revenue within 3 weeks.
```

### Minimum Requirements
- Real customer data (anonymized is fine, but numbers must be real)
- All three elements: context, action, result
- At least one specific metric in the result

---

## Format 8: Metric Grid

**When to use**: You have 4-6 strong numbers that tell a story together. Works when the data speaks louder than any testimonial.

**Best page types**: Social-Proof, Lander, Comparison
**Placement**: Credibility bar near the top, or as the opening of the social proof section.

### Structure
```
[Metric 1]          [Metric 2]          [Metric 3]
[Label]             [Label]             [Label]

[Metric 4]          [Metric 5]          [Metric 6]
[Label]             [Label]             [Label]
```

### Example
```
160+                $2M+                13
Presell Deploys     Attributable Rev    Page Types

$2M+                40-80%              2-4x
Attributable Rev    CPC Savings         Conversion Lift
```

### Variations
- 4-metric grid (2x2): cleaner for above-the-fold
- 6-metric grid (2x3 or 3x2): more comprehensive
- Single row (3-4 metrics): works as a credibility bar

### Minimum Requirements
- 4+ metrics minimum
- Each metric must be specific and falsifiable
- No vanity metrics ("1M+ impressions" means nothing without context)

---

## Format 9: Quote Wall

**When to use**: You have many short testimonials. Individually, none are remarkable. Together, they show volume and consistency.

**Best page types**: Social-Proof, Lander, Review
**Placement**: After your product description. The wall creates a "everyone's doing this" feeling.

### Structure
```
[Grid of 8-12 short quotes in masonry/card layout]

Each card:
"[1-2 sentence quote]"
- [Name], [Context]
```

### Example
```
"CPCs dropped 40% in two weeks."        "Finally understand which format
- James K., DTC Electronics              to use for which keyword."
                                         - Priya M., Skincare Brand

"Built our first advertorial in          "The decision tree alone is
a weekend. Converting at 3.2%."          worth the price."
- Rachel S., Health Supplements          - David L., Home Goods

"Wish I'd found this 6 months           "Our team references this
ago. Would've saved $15K."              weekly."
- Tom W., Fashion E-commerce            - Lisa H., Beauty DTC

"Simple. Practical. No fluff."          "Implemented 3 page types in
- Carlos R., Fitness Brand              30 days. All converting."
                                        - Jenny F., Pet Products
```

### Minimum Requirements
- 8+ quotes minimum (12 is ideal)
- Varied customer types (different industries, sizes, use cases)
- Each quote must be real (fabricated walls are instantly obvious)

---

## Format 10: Video Testimonial

**When to use**: You have a customer willing to record a video testimonial. Video beats text for believability because it's harder to fake.

**Best page types**: VSL, Social-Proof, Review
**Placement**: Mid-page after your key claims. Or as the primary proof element on a VSL page.

### Structure
```
[Video thumbnail with play button]

"[Pull quote - the strongest 1-2 sentences from the video]"

- [Full Name], [Title], [Company]
- Key result: [One specific metric]
- Video length: [X minutes]
```

### Example
```
[Video thumbnail: Sarah at her desk with Google Ads dashboard visible]

"We went from one page type to four. Revenue from Google Ads
went up 62% in the first month without increasing our ad budget."

- Sarah Chen, Head of Growth, VitaWell Supplements ($5M/yr)
- Key result: 62% revenue increase, same ad budget
- Video length: 2 minutes
```

### Minimum Requirements
- Real video (not stock footage with voiceover)
- Good audio quality (bad audio kills credibility)
- Pull quote visible for non-watchers
- Key metric highlighted outside the video

---

## Format 11: Social Mention

**When to use**: Industry people or publications mention you publicly. Works because third-party mentions carry more weight than self-promotion.

**Best page types**: Social-Proof, Editorial, Advertorial
**Placement**: Credibility section near the top, or scattered throughout as supporting evidence.

### Structure
```
[Embedded post or screenshot]

[Platform icon] [Author name/handle] | [Date]
[Brief context if the mention needs explanation]
```

### Example
```
[Embedded tweet]
@google_ads_expert (42K followers): "Just went through the
C.L.I.C.K. Framework for a client account. The page type
decision tree caught 4 opportunities we'd missed. Not an
ad - genuinely useful."

Twitter | Feb 2026

---

[Embedded LinkedIn post]
Marketing Director at [Brand]: "Our agency recommended
we try advertorials based on this framework. 3 weeks in,
CPCs are down 52%. Should've done this a year ago."

LinkedIn | Jan 2026
```

### Minimum Requirements
- Real posts from real accounts (verifiable)
- Permission or public post status
- 2+ mentions minimum (one looks planted)

---

## Format 12: Screenshot Proof

**When to use**: You have dashboard screenshots, analytics data, or results screens that visually prove outcomes. Seeing is believing.

**Best page types**: Social-Proof, Comparison, Problem-Solution
**Placement**: Next to the claims they support. After each case study or bold claim.

### Structure
```
[Screenshot image - client info blurred]
Caption: [What the screenshot shows + date + context]

Key metrics visible:
- [Metric 1]: [Value]
- [Metric 2]: [Value]
- [Metric 3]: [Value]
```

### Example
```
[Google Ads dashboard screenshot - account name blurred]
Caption: Advertorial campaign performance, 30 days after launch.
Account: DTC Supplements, $50K/month total spend.

Key metrics visible:
- CPC: $0.85 (down from $4.20)
- Conversion rate: 3.8%
- Monthly clicks: 14,200 (informational keywords)
```

### Minimum Requirements
- Real screenshots (not mockups)
- Client-identifying information blurred
- Date visible or stated
- Context explaining what the reader is looking at

---

## Format 13: Industry Validation

**When to use**: Your product has been recognized by industry awards, press, publications, or rankings. Third-party validation outweighs self-claims.

**Best page types**: Social-Proof, Lander, Editorial
**Placement**: Credibility bar near the top. Or as a supporting element in your authority section.

### Structure
```
AS FEATURED IN / RECOGNIZED BY:

[Logo 1] [Logo 2] [Logo 3] [Logo 4] [Logo 5]

[Optional: Specific award or mention with link]
```

### Example
```
AS FEATURED IN:

Search Engine Journal | PPC Hero | Google Partners | eCommerceFuel

"Top 10 Google Ads Resources for E-commerce" - Search Engine Journal, 2026
```

### Variations
- Logo bar: Clean row of publication/partner logos
- Awards section: Specific awards with year and category
- Press mentions: Quotes from press coverage with source links

### Minimum Requirements
- Real recognition (verifiable with a link or screenshot)
- Logos used with permission
- Relevant to your audience (industry-specific   generic)

---

## Format 14: Switcher Testimony

**When to use**: You have customers who left a competitor for you and can articulate why. Best format for Comparison pages.

**Best page types**: Comparison (Us vs Them), Review, Social-Proof
**Placement**: On comparison pages - after the comparison table. On other pages - after competitor mentions.

### Structure
```
SWITCHED FROM: [Competitor]
SWITCHED TO: [Your Product]
REASON: [One sentence]

"[2-3 sentence quote explaining why they switched and what changed]"

- [Full Name], [Context]
- Time as [Competitor] customer: [Duration]
- Key improvement since switching: [Specific metric]
```

### Example
```
SWITCHED FROM: Generic landing page templates
SWITCHED TO: C.L.I.C.K. Framework
REASON: Needed page type selection, not just page design.

"I'd been building landing pages from Unbounce templates for
2 years. They looked great. Converted terribly. The issue was
never the design - it was the format. Once I started matching
page types to search intent, conversion rates doubled across
3 campaigns."

- Michael Torres, E-commerce Director, HomeStyle ($4M/yr)
- Previous approach: 2 years with generic templates
- Improvement: 2x conversion rate across 3 campaigns
```

### Minimum Requirements
- Named competitor (or at least competitor category)
- Clear reason for switching
- Measurable improvement since switching

---

## Format 15: Milestone Proof

**When to use**: Your product or company has growth milestones that demonstrate momentum. Works for building trust through trajectory.

**Best page types**: Social-Proof, About page sections, Lander
**Placement**: Credibility section. Timeline visual works well in about/story sections.

### Structure
```
[Date/Year] → [Milestone]
[Date/Year] → [Milestone]
[Date/Year] → [Milestone]
[Date/Year] → [Milestone]
```

### Example
```
2020 → Started managing Google Ads for 5 e-commerce accounts
2022 → $80M+ in managed spend. Built first page type matching system.
2024 → 100+ accounts. $120M+ managed. C.L.I.C.K. Framework formalized.
2026 → 160+ accounts. 160+ presell page deployments. $2M+ in attributable landing page revenue.
```

### Variations
- Timeline: Chronological milestones
- Achievement list: Non-chronological highlights
- Counter: Live or recent milestone ("160+ accounts as of February 2026")

### Minimum Requirements
- 3+ milestones minimum
- Each milestone verifiable
- Shows meaningful progression (not just time passing)

---

## Social Proof Selection Guide

Use this matrix to pick the right format based on what you have:

| What You Have | Best Formats | Page Types |
|--------------|-------------|------------|
| One strong testimonial | Single Testimonial, Comparison Testimony | Lander, Problem-Solution |
| Multiple short quotes | Quote Wall | Social-Proof, Lander |
| Before/after data for multiple customers | Before-After Grid | Social-Proof, Advertorial |
| Large customer base with aggregate metrics | Aggregate Result, Metric Grid | Social-Proof, Lander, Credibility bar |
| Video testimonials | Video Testimonial | VSL, Social-Proof |
| Social media mentions | UGC, Social Mention | Social-Proof, Advertorial |
| Dashboard screenshots or analytics | Screenshot Proof | Comparison, Problem-Solution |
| Press mentions or awards | Industry Validation | Credibility bar, Editorial |
| Customers who switched from competitors | Switcher Testimony | Comparison |
| Full case study data | Case Study Mini | Advertorial, Guide, Comparison |
| Company growth milestones | Milestone Proof | Social-Proof, About sections |
| Expert endorsements | Expert Endorsement | Advertorial, Guide |

---

## Placement Rules

1. **Every CTA needs social proof within scroll distance.** The reader should see evidence before (or alongside) the ask.

2. **Match proof intensity to awareness level.** Unaware buyers need authority-based proof (expert endorsements, data, credentials). Most-aware buyers need volume-based proof (quote walls, aggregate results, metric grids).

3. **Vary your formats.** Don't use the same format three times on one page. A case study mini + a quote wall + a metric grid is more persuasive than three case study minis.

4. **Lead with the strongest.** Your best testimonial or case study goes first. The reader decides whether to trust you in the first proof element they see.

5. **Include specifics.** Every piece of social proof needs at least one number, metric, or timeframe. "Great product!" doesn't move the needle. "CPC dropped 40% in two weeks" does.

---

*Part of The Landing Page Conversion Kit. C.L.I.C.K. Framework.*


# Mobile Optimization Checklist

**Purpose**: Score your landing page's mobile experience against the same criteria we use on client accounts. 72% of e-commerce traffic is mobile. If your page doesn't work on a phone, it doesn't work.

---

## How to Score

- Check each item: PASS (1 point) or FAIL (0 points)
- Score each category
- Calculate total score
- Grade your page

Don't rationalize failures. "It's close enough" on mobile means "it doesn't work." Users don't give partial credit.

---

## Category 1: Above-the-Fold (6 Items)

Everything the user sees before scrolling. You have 2-3 seconds. If the headline isn't visible and the purpose isn't clear, they're gone.

| # | Item | Pass/Fail | Notes |
|---|------|-----------|-------|
| 1.1 | Headline fully visible without scrolling on standard mobile (375px width) | ☐ | Test on iPhone SE (smallest common), iPhone 14, and Samsung Galaxy S |
| 1.2 | Headline renders in 2 lines or fewer on mobile | ☐ | Headlines that wrap to 4+ lines lose clarity. Rewrite shorter or increase font size. |
| 1.3 | Primary CTA visible above the fold (or within one thumb scroll) | ☐ | If the CTA requires more than one scroll to reach, you're losing 30-50% of ready buyers |
| 1.4 | Page loads in under 2 seconds on 4G connection | ☐ | Test with Chrome DevTools   Network   Slow 4G. If images load after the fold, compress or lazy-load them. |
| 1.5 | No horizontal overflow causing left-right scroll | ☐ | Check at 320px, 375px, and 414px widths. Any horizontal scroll = auto-fail. |
| 1.6 | Value proposition clear within 3 seconds of page load | ☐ | Show the page to someone for 3 seconds. If they can't tell you what it's about, the above-the-fold fails. |

**Category Score**: ___/6

---

## Category 2: Touch Targets (5 Items)

Fingers aren't cursors. Buttons need to be big enough to tap accurately, spaced far enough apart to avoid mis-taps, and placed where thumbs naturally reach.

| # | Item | Pass/Fail | Notes |
|---|------|-----------|-------|
| 2.1 | All tappable elements are at least 48x48px | ☐ | Google's minimum. Apple recommends 44x44pt. Smaller = mis-taps = frustration = bounces. |
| 2.2 | At least 8px spacing between adjacent tappable elements | ☐ | Two buttons next to each other with no gap = the user taps the wrong one. Guaranteed. |
| 2.3 | Primary CTA is in the thumb zone (bottom 40% of screen) | ☐ | Users hold phones with one hand. The thumb's natural arc covers the bottom and center of the screen. Put your most important button there. |
| 2.4 | No tiny text links as primary actions | ☐ | "Click here" in 12px text is not a CTA on mobile. Use buttons, not text links, for primary actions. |
| 2.5 | CTA button has enough padding (minimum 16px internal padding) | ☐ | A button with text touching the edges looks cramped and feels untappable. |

**Category Score**: ___/5

---

## Category 3: Typography (5 Items)

If they can't read it, they can't buy. Mobile typography isn't a design preference. It's a conversion requirement.

| # | Item | Pass/Fail | Notes |
|---|------|-----------|-------|
| 3.1 | Body text is minimum 16px (1rem) | ☐ | Anything smaller and mobile browsers zoom in, breaking your layout. 16px is the floor, not the target. |
| 3.2 | Headlines are 24px+ (1.5rem+) | ☐ | Headlines need to feel like headlines, not slightly larger body text. 24px minimum. 28-32px is better. |
| 3.3 | Line height is 1.5 or greater for body text | ☐ | Tight line spacing that works on desktop becomes unreadable on small screens. 1.5 minimum. 1.6 is ideal. |
| 3.4 | Color contrast ratio is 4.5:1 minimum (WCAG AA) | ☐ | Test with WebAIM's contrast checker. Light gray text on white background fails. Your eyes might adjust - a phone screen in sunlight won't. |
| 3.5 | No more than 2 font families used on the page | ☐ | Each font adds load time. Multiple fonts on mobile create visual noise. One for headings, one for body. Maximum. |

**Category Score**: ___/5

---

## Category 4: Images (5 Items)

Images that work on desktop can destroy mobile performance. Every image that isn't optimized for mobile is money you're spending on clicks that never see your page.

| # | Item | Pass/Fail | Notes |
|---|------|-----------|-------|
| 4.1 | All images use responsive sizing (max-width: 100%) | ☐ | Fixed-width images break mobile layouts. Every image should scale with the viewport. |
| 4.2 | Images below the fold use lazy loading | ☐ | Don't load 15 images on page load. Load what's visible, lazy-load the rest. Cuts initial load time by 30-60%. |
| 4.3 | Images served in WebP format with fallbacks | ☐ | WebP is 25-35% smaller than JPEG at the same quality. Every major browser supports it. JPEG/PNG fallbacks for the rare exceptions. |
| 4.4 | Hero image is under 200KB | ☐ | The hero image loads first and blocks rendering. Keep it under 200KB. Use compression tools (TinyPNG, Squoosh, ImageOptim). |
| 4.5 | Images have explicit width and height attributes | ☐ | Without dimensions, the browser doesn't know how much space to reserve. Content jumps around as images load. This is CLS (Cumulative Layout Shift) and it kills conversions. |

**Category Score**: ___/5

---

## Category 5: Forms (5 Items)

Every unnecessary form field costs conversions. On mobile, every field costs MORE conversions because typing on a phone is painful.

| # | Item | Pass/Fail | Notes |
|---|------|-----------|-------|
| 5.1 | Form uses appropriate input types (email, tel, number, url) | ☐ | Input type="email" shows the @ keyboard. Input type="tel" shows the number pad. Small detail, big reduction in friction. |
| 5.2 | Autofill and autocomplete enabled on all applicable fields | ☐ | Let the browser fill in name, email, address, and payment. Users who autofill convert at higher rates because you removed the typing. |
| 5.3 | Form has 5 or fewer fields (3 is ideal) | ☐ | Every field you add past 3 reduces completion by 5-10%. Name + email + one qualifier = maximum for mobile lead gen. |
| 5.4 | Form is single-column layout | ☐ | Side-by-side fields on mobile create tap targets that are too small and layouts that feel cramped. One field per row. No exceptions. |
| 5.5 | Error messages appear inline, next to the field | ☐ | Don't show errors at the top of the form. The user has to scroll up to find them, then scroll back down to fix them. Inline only. |

**Category Score**: ___/5

---

## Category 6: Navigation (4 Items)

Mobile landing pages should have one job. If the navigation creates exits, it's working against you.

| # | Item | Pass/Fail | Notes |
|---|------|-----------|-------|
| 6.1 | Sticky CTA visible during scroll | ☐ | As the user scrolls, the CTA should remain accessible. Sticky footer bar or floating button. Not intrusive, but always available. |
| 6.2 | No horizontal scrolling anywhere on the page | ☐ | Test every section. Tables, images, and code blocks are the most common culprits. If it scrolls sideways, fix it. |
| 6.3 | Back button works correctly (doesn't trap the user) | ☐ | Single-page apps and aggressive redirects sometimes break the back button. Test it. Broken back button = instant trust loss. |
| 6.4 | Minimal navigation links (landing page should limit exit points) | ☐ | Your landing page has one goal. Every nav link is a potential exit. Remove or minimize top navigation on landing pages. Logo link to homepage is fine. Full nav bar is not. |

**Category Score**: ___/4

---

## Category 7: Speed (5 Items)

Speed isn't a nice-to-have. Every 100ms of additional load time costs 1% in conversions. On mobile, where connections are slower and patience is shorter, speed is revenue.

| # | Item | Pass/Fail | Notes |
|---|------|-----------|-------|
| 7.1 | Largest Contentful Paint (LCP) under 2.5 seconds | ☐ | LCP measures when the main content becomes visible. Under 2.5s = good. 2.5-4s = needs improvement. Over 4s = poor. Test at PageSpeed Insights. |
| 7.2 | Interaction to Next Paint (INP) under 200ms | ☐ | INP measures responsiveness to all user interactions, not just the first. Under 200ms = good. 200-500ms = needs improvement. Over 500ms = poor. Replaced FID as a Core Web Vital in March 2024. |
| 7.3 | Cumulative Layout Shift (CLS) under 0.1 | ☐ | CLS measures visual stability. Content that jumps around as the page loads = bad experience. Set image dimensions, use font-display: swap. |
| 7.4 | CSS and JavaScript minified and compressed | ☐ | Unminified code adds unnecessary bytes. Use build tools (Webpack, Vite) or your platform's built-in optimization. |
| 7.5 | Content served via CDN | ☐ | If your page loads from a single server and your audience is global (or national), a CDN cuts load times by 30-60%. Most hosting platforms include this. Make sure it's enabled. |

**Category Score**: ___/5

---

## Category 8: Page-Type-Specific Mobile (6 Items)

Different page types have different mobile requirements. These items catch format-specific issues that generic checklists miss.

| # | Item | Pass/Fail | Notes |
|---|------|-----------|-------|
| 8.1 | Advertorial: Body text broken into paragraphs of 3 lines or fewer on mobile | ☐ | Desktop paragraphs that are 4-5 lines become 8-10 lines on mobile. Wall of text = bounce. Break aggressively. |
| 8.2 | Comparison table: Scrollable or stacked on mobile (not shrunk to unreadable) | ☐ | Side-by-side comparison tables that work on desktop become illegible at 375px. Use horizontal scroll with sticky first column, or stack rows vertically. |
| 8.3 | Quiz: Each question fills the screen without requiring scroll to see all options | ☐ | Quiz UX on mobile should feel like a mobile app. One question visible at a time. Tap to advance. Progress indicator visible. |
| 8.4 | Listicle: Each list item has a clear visual separator | ☐ | On desktop, white space separates items. On mobile, items blend together. Use dividers, background alternation, or numbered headers. |
| 8.5 | VSL: Video player responsive and controls accessible | ☐ | Video should scale to full-width on mobile. Play/pause controls should be large enough to tap. Autoplay with sound off if autoplaying. |
| 8.6 | Social-Proof: Testimonial cards don't overflow their containers | ☐ | Long testimonials in fixed-height cards create overflow or truncation. Use expandable cards ("Read more") or let them flow naturally. |

**Category Score**: ___/6

---

## Scoring

### Category Totals

| Category | Your Score | Max |
|----------|-----------|-----|
| 1. Above-the-Fold | ___/6 | 6 |
| 2. Touch Targets | ___/5 | 5 |
| 3. Typography | ___/5 | 5 |
| 4. Images | ___/5 | 5 |
| 5. Forms | ___/5 | 5 |
| 6. Navigation | ___/4 | 4 |
| 7. Speed | ___/5 | 5 |
| 8. Page-Type-Specific | ___/6 | 6 |
| **TOTAL** | **___/41** | **41** |

### Grade Thresholds

| Grade | Score | Meaning |
|-------|-------|---------|
| **A** | 37-41 (90%+) | Ship it. Your mobile experience is solid. Monitor and maintain. |
| **B** | 33-36 (80-89%) | Good foundation. Fix the failures before scaling ad spend. |
| **C** | 25-32 (61-79%) | Significant issues. Fix before driving paid traffic. Each failure is costing conversions. |
| **D** | 17-24 (41-60%) | Major problems. Mobile users are bouncing at high rates. Prioritize fixes immediately. |
| **F** | 0-16 (0-40%) | Don't send paid traffic to this page until it's fixed. You're wasting ad budget. |

### Priority Fix Order

When you can't fix everything at once, prioritize by impact:

1. **Speed** (Category 7) - If the page doesn't load, nothing else matters
2. **Above-the-Fold** (Category 1) - First impression determines whether they stay
3. **Touch Targets** (Category 2) - If they can't tap the CTA, they can't convert
4. **Typography** (Category 3) - If they can't read the copy, the copy doesn't exist
5. **Images** (Category 4) - Directly impacts speed and visual experience
6. **Page-Type-Specific** (Category 8) - Format-specific issues that generic fixes miss
7. **Navigation** (Category 6) - Prevents leaks and confusion
8. **Forms** (Category 5) - Only applies if your page has forms

---

## Testing Protocol

Don't just score this on paper. Test on real devices.

**Minimum test devices**:
- iPhone SE (smallest common iOS screen - 375px)
- iPhone 14/15 (standard iOS - 390px)
- Samsung Galaxy S23 or similar (standard Android - 360-412px)

**Testing tools**:
- Chrome DevTools Device Mode (quick check, not 100% accurate)
- BrowserStack or LambdaTest (real device testing)
- PageSpeed Insights (speed and Core Web Vitals)
- WebAIM Contrast Checker (typography contrast)

**Testing frequency**:
- Before launch: Full checklist
- After any design change: Categories 1, 2, 3, 8
- Monthly: Speed check (Category 7)
- Quarterly: Full checklist re-audit

A page that scored A at launch can degrade to C within 6 months if you're adding content, changing images, or updating CTAs without re-testing mobile.

---

*Part of The Landing Page Conversion Kit. C.L.I.C.K. Framework.*


# 3-Rule Copy Filter Scorecard

**Purpose**: Score every headline before it goes live. Three rules. Nine points max. If it doesn't pass, it doesn't ship.

We run this filter on every headline across 160+ accounts. It takes 30 seconds per headline and catches 90% of the copy that would underperform. The rules are simple. Most headlines fail anyway.

---

## The Three Rules

### Rule 1: Visualizable

**The test**: Can the reader picture it in under 0.5 seconds?

The human brain processes images 60,000x faster than text. A headline that creates a picture gets processed instantly. A headline that stays abstract gets skipped. The reader's brain should generate a mental image the moment they read your headline.

**Scoring**:
- **3 points**: Instant picture. Reader sees a specific scene, number, or outcome in their mind.
- **2 points**: Partial picture. Some concrete elements, but vague in places.
- **1 point**: Abstract with one concrete detail. Mostly conceptual.
- **0 points**: Completely abstract. Reader pictures nothing.

**PASS examples**:
- "Save 4 hours every week on feed updates" - reader pictures their calendar with empty blocks
- "Cut your CPC from $4.20 to $0.85 in 3 weeks" - reader sees the number drop in their dashboard
- "7 landing page mistakes costing you $3,000/month" - reader pictures money leaving their account

**FAIL examples**:
- "Optimize your workflow efficiency" - no picture
- "Drive meaningful business outcomes" - no picture
- "Enhance your digital presence" - what does that even look like?

**The fix**: Add a number, a timeframe, or a specific object. "Improve your ads" becomes "Cut your CPC by 40% in 2 weeks." Now there's a picture.

---

### Rule 2: Falsifiable

**The test**: Can someone prove this claim true or false?

Falsifiable claims are specific enough that someone could check. "We've deployed 160+ presell pages generating $2M+ in attributable revenue" is falsifiable - you could verify it. "We provide industry-leading ad management" is not - who decides what "industry-leading" means?

Falsifiable claims build trust because the reader knows you're willing to be held accountable. Unfalsifiable claims read as marketing fluff because they can't be challenged.

**Scoring**:
- **3 points**: Completely verifiable. Specific number, date, or measurable claim.
- **2 points**: Mostly verifiable. Directionally specific with some measurability.
- **1 point**: Partially verifiable. Has one specific element buried in vagueness.
- **0 points**: Completely unfalsifiable. Pure opinion or generic claim.

**PASS examples**:
- "160+ accounts optimized" - verifiable count
- "40-80% cheaper CPCs on informational keywords" - measurable range with context
- "3.8% conversion rate on advertorials vs 2.1% on product pages" - two specific, comparable numbers

**FAIL examples**:
- "Industry-leading optimization" - who decides "leading"?
- "Best-in-class landing pages" - measured by what standard?
- "World-class conversion rates" - compared to what?

**The fix**: Replace adjectives with numbers. "Industry-leading" becomes "Top 5% of accounts by conversion rate." "Best quality" becomes "4.8/5 average rating from 2,400 reviews." Now it's checkable.

---

### Rule 3: Unique

**The test**: Could only THIS brand say it?

If your competitor could swap their name into your headline and it would still work, it's not unique. Unique headlines reference specific experiences, data, frameworks, or perspectives that only you have.

This is the hardest rule to pass. It's also the most important. In a market where everyone claims "expert optimization" and "proven results," the brand that says something only they can say wins attention.

**Scoring**:
- **3 points**: Only this brand could say this. References proprietary data, named framework, or specific experience.
- **2 points**: Mostly unique. References specific data but the claim structure is common.
- **1 point**: Slightly differentiated. One unique element in an otherwise generic headline.
- **0 points**: Any brand could claim this. Completely interchangeable.

**PASS examples**:
- "160+ presell page deployments generating $2M+ in attributable revenue" - those are your numbers
- "The C.L.I.C.K. Framework: 5 stages to match page format to buyer intent" - your framework, your name
- "We lost $40K testing landing pages before we found the pattern" - your specific story

**FAIL examples**:
- "Expert Google Ads management" - any agency can claim this
- "Proven results for e-commerce brands" - what does "proven" even mean? Anyone can say it.
- "Your trusted conversion partner" - swap any brand name in and it works

**The fix**: Add YOUR data, YOUR framework name, YOUR story. "Expert landing pages" becomes "13 page types from 160+ presell page deployments." Now only you can say it.

---

## Scoring Matrix

Score each headline on all three rules. Total determines action.

| Headline | Visualizable (0-3) | Falsifiable (0-3) | Unique (0-3) | Total (0-9) | Action |
|----------|--------------------|--------------------|--------------|-------------|--------|
| | | | | | |
| | | | | | |
| | | | | | |
| | | | | | |
| | | | | | |

### Grade Thresholds

| Score | Grade | Action |
|-------|-------|--------|
| **7-9** | Ship it | This headline is ready. Move to the page. |
| **4-6** | Revise | One or two rules need work. Fix the lowest-scoring rule first. |
| **0-3** | Rewrite | Start over. The headline's core concept isn't strong enough to fix with tweaks. |

### Auto-Fail Override

Any headline scoring 0 on ANY rule = automatic rewrite, regardless of total score. A headline that scores 3-3-0 (total 6) still fails because it's not unique. All three rules must score at least 1.

---

## Auto-Fail Banned Phrase List

These words and phrases score 0 on at least one rule by definition. If your headline contains any of these, don't bother scoring it. Rewrite.

### Category 1: Vague Qualifiers (Fail: Visualizable + Falsifiable)
These words sound impressive but create no picture and can't be verified.

| Banned Phrase | Why It Fails | Replace With |
|---------------|-------------|-------------|
| premium | Picture what? Measured how? | Specific quality marker ("medical-grade", "certified organic") |
| best quality | Who certified this? | Specific rating or test result |
| top-tier | Compared to what? | Specific ranking or benchmark |
| world-class | Says who? | Specific credential or achievement |
| cutting-edge | What edge? | Specific technology or method |
| state-of-the-art | Measured by what standard? | Specific feature or capability |
| next-level | Level of what? | Specific improvement with number |
| high-end | How high? | Price point or spec comparison |
| superior | To what specifically? | Direct comparison with named alternative |
| innovative | How specifically? | Named feature or approach |

### Category 2: Generic CTAs (Fail: Unique)
Any brand can use these. They differentiate nothing.

| Banned Phrase | Why It Fails | Replace With |
|---------------|-------------|-------------|
| shop now | Every store says this | Specific action with benefit ("Get the 13-template kit") |
| learn more | Learn about what? | Specific content ("See the 5 case studies") |
| discover | Discover what? | Specific thing being discovered |
| explore | Explore what? | Specific area with benefit |
| get started today | Started with what? | Specific first step |
| find out | Find out what? | Specific information |
| see for yourself | See what specifically? | Specific thing to see |
| take the next step | What step? | Named action |
| click here | Where? Why? | Action + outcome |
| sign up | For what benefit? | What they get when they sign up |

### Category 3: Unfalsifiable Claims (Fail: Falsifiable)
These can't be proven true or false. They're empty marketing noise.

| Banned Phrase | Why It Fails | Replace With |
|---------------|-------------|-------------|
| revolutionary | Revolution against what? | Specific change with measurable impact |
| game-changing | What game? What change? | Specific outcome with data |
| transformative | Transformed into what? | Before/after with metrics |
| industry-leading | Leading by what measure? | Specific ranking or metric |
| best-in-class | What class? What ranking? | Named comparison or benchmark |
| unmatched | Unmatched by whom, on what criteria? | Specific comparison |
| unparalleled | Show the parallel that fails | Specific data vs named competitors |
| groundbreaking | What ground? What broke? | Specific innovation with impact |
| disruptive | Disrupted what specifically? | Named change with evidence |
| proven | Proven by whom? How? | Specific study, data, or methodology |

### Category 4: AI Cliches (Fail: All Three Rules)
These words signal AI-generated copy. They create no picture, can't be verified, and any AI could produce them.

| Banned Phrase | Why It Fails | Replace With |
|---------------|-------------|-------------|
| unlock | Unlock what? How? Measurably? | Specific access or capability gained |
| harness | Harness what energy? | Specific tool or method used |
| leverage | Leverage what specifically? | Named asset or approach |
| supercharge | By how much? Measured how? | Specific speed or power increase |
| elevate | Elevated to where? | Specific improvement with number |
| empower | Empowered to do what? | Specific new capability |
| streamline | Streamlined by how much? | Time or step reduction with number |
| amplify | Amplified by what factor? | Specific multiplier or increase |
| skyrocket | To what altitude specifically? | Specific percentage or number increase |
| delve | Into what? | Named topic or data |
| dive deep | How deep? | Specific depth or detail level |
| tap into | Into what reservoir? | Named resource or data source |
| fuel | Fuel what engine? | Specific driver or input |
| catalyze | Catalyze what reaction? | Specific trigger and outcome |

---

## 10 Example Headlines - Scored

### Example 1
**Headline**: "Cut Your Google Ads CPC by 40-80% With One Landing Page Format Change"

| Rule | Score | Reasoning |
|------|-------|-----------|
| Visualizable | 3 | Reader pictures their CPC dropping in their dashboard. Specific percentage range. |
| Falsifiable | 3 | 40-80% is measurable. "One format change" is testable. |
| Unique | 2 | The specific range is based on real data, but the structure is common. |
| **Total** | **8** | **Ship it.** |

### Example 2
**Headline**: "Unlock the Power of Better Landing Pages"

| Rule | Score | Reasoning |
|------|-------|-----------|
| Visualizable | 0 | "Power" of pages? No picture. Nothing concrete. |
| Falsifiable | 0 | "Better" compared to what? "Power" measured how? |
| Unique | 0 | Any landing page product could say this. Also contains banned word "unlock." |
| **Total** | **0** | **Rewrite. Auto-fail on banned phrase.** |

### Example 3
**Headline**: "13 Landing Page Formats Tested Across 160+ E-commerce Accounts"

| Rule | Score | Reasoning |
|------|-------|-----------|
| Visualizable | 2 | Reader pictures a collection of pages. "160+ accounts" adds scale. |
| Falsifiable | 3 | 13 formats - countable. 160+ accounts - verifiable. |
| Unique | 3 | Only this brand has this data from this many accounts. |
| **Total** | **8** | **Ship it.** |

### Example 4
**Headline**: "Improve Your Landing Page Conversion Rates"

| Rule | Score | Reasoning |
|------|-------|-----------|
| Visualizable | 1 | Vague picture. "Improve" and "conversion rates" are somewhat concrete but not specific. |
| Falsifiable | 0 | Improve by how much? From what baseline? No way to check. |
| Unique | 0 | Any CRO tool, agency, or course can claim this. |
| **Total** | **1** | **Rewrite. Core concept too generic.** |

### Example 5
**Headline**: "The C.L.I.C.K. Framework: Match Page Format to Buyer Intent in 60 Seconds"

| Rule | Score | Reasoning |
|------|-------|-----------|
| Visualizable | 3 | Reader pictures using a tool, checking a clock. "60 seconds" is vivid. |
| Falsifiable | 2 | "60 seconds" is testable. The match between format and intent is verifiable through use. |
| Unique | 3 | "C.L.I.C.K. Framework" is proprietary. Only this brand has it. |
| **Total** | **8** | **Ship it.** |

### Example 6
**Headline**: "Best Landing Page Tips for E-commerce"

| Rule | Score | Reasoning |
|------|-------|-----------|
| Visualizable | 0 | "Tips" creates no picture. How many? About what specifically? |
| Falsifiable | 0 | "Best" by what measure? Can't be proven. |
| Unique | 0 | Literally thousands of blog posts use this exact headline. |
| **Total** | **0** | **Rewrite. Contains banned phrase "best" as unfalsifiable claim.** |

### Example 7
**Headline**: "From $4.20 CPC to $0.85: How One DTC Brand Cut Google Ads Costs by 80%"

| Rule | Score | Reasoning |
|------|-------|-----------|
| Visualizable | 3 | Reader pictures the CPC numbers in their ads dashboard. Before and after. |
| Falsifiable | 3 | $4.20, $0.85, 80% - all specific, verifiable numbers. |
| Unique | 3 | Specific case study data. Only this brand can reference this result. |
| **Total** | **9** | **Ship it. Perfect score.** |

### Example 8
**Headline**: "Why Your Ads Get Clicks But Your Pages Don't Convert"

| Rule | Score | Reasoning |
|------|-------|-----------|
| Visualizable | 2 | Reader pictures clicking ads and seeing a bouncing page. Somewhat concrete. |
| Falsifiable | 1 | Directionally testable but no specific claim to verify. |
| Unique | 1 | Common enough format, but the specific framing has personality. |
| **Total** | **4** | **Revise. Add specifics: numbers, sample size, or framework reference.** |

### Example 9
**Headline**: "We Tested 13 Page Types Across 160+ Presell Deployments. Here's What Converts."

| Rule | Score | Reasoning |
|------|-------|-----------|
| Visualizable | 2 | Reader pictures testing at scale. The dollar amount creates scale imagery. |
| Falsifiable | 3 | 13 types - countable. 160+ deployments - verifiable. "What converts" implies measurable data to follow. |
| Unique | 3 | 160+ presell deployments and 13 page types are proprietary data points. |
| **Total** | **8** | **Ship it.** |

### Example 10
**Headline**: "Transform Your Landing Pages with Our Revolutionary Approach"

| Rule | Score | Reasoning |
|------|-------|-----------|
| Visualizable | 0 | "Transform" into what? "Approach" to what? No picture. |
| Falsifiable | 0 | "Revolutionary" by what standard? Completely unfalsifiable. |
| Unique | 0 | Any company could say this. Two banned phrases ("transform", "revolutionary"). |
| **Total** | **0** | **Rewrite. Auto-fail on multiple banned phrases.** |

---

## Worksheet: Score Your Headlines

Use this section to score your own headlines. Write the headline, score each rule, total it up.

| # | Your Headline | V (0-3) | F (0-3) | U (0-3) | Total | Action |
|---|--------------|---------|---------|---------|-------|--------|
| 1 | | | | | | |
| 2 | | | | | | |
| 3 | | | | | | |
| 4 | | | | | | |
| 5 | | | | | | |
| 6 | | | | | | |
| 7 | | | | | | |
| 8 | | | | | | |
| 9 | | | | | | |
| 10 | | | | | | |
| 11 | | | | | | |
| 12 | | | | | | |
| 13 | | | | | | |
| 14 | | | | | | |
| 15 | | | | | | |

### Scoring Reminders
- Auto-fail if any single rule scores 0
- 7-9 = Ship it
- 4-6 = Revise (fix lowest-scoring rule first)
- 0-3 = Rewrite from scratch
- Check every headline against the banned phrase list before scoring
- Score all headline variations for a page, then pick the highest scorer

### Quick Diagnostic

If your headlines consistently fail on the same rule:

**Low Visualizable scores**: You're writing in abstractions. Add numbers, timeframes, and concrete objects. Every headline should contain at least one element the reader can picture.

**Low Falsifiable scores**: You're making claims you can't back up. Replace adjectives with data. Replace opinions with measurements. If you don't have the data, find it or narrow the claim.

**Low Unique scores**: You're writing generic industry copy. Add your brand name, your framework name, your specific data, or your specific story. If a competitor could use your headline, it's not yours.

---

*Part of The Landing Page Conversion Kit. C.L.I.C.K. Framework.*


# Title Optimization Templates by Category

**Purpose**: Copy these structures and apply to your product titles. Front-load the most important information in the first 70 characters.

---

## General Rules

- Google allows 150 characters
- Only first 70 characters display in most placements
- Include: Brand + Product Type + Key Attributes + Search Terms
- Avoid: ALL CAPS, excessive punctuation, promotional language

---

## Category 1: Apparel

**Structure**: Brand + Gender + Product Name + Type + Color + Size

### Examples

| Before (Weak) | After (Optimized) |
|---------------|-------------------|
| Black Running Shoes | Nike Men's Air Zoom Pegasus 40 Running Shoes Black Size 11 |
| Women's Dress | Reformation Midi Floral Dress Women's Wrap Style Green Size M |
| Blue Jacket | Patagonia Men's Nano Puff Insulated Jacket Blue Size L |
| Yoga Pants | Lululemon Align High-Rise Leggings Women's Black 25" Size 6 |

### Template

```
[Brand] [Gender] [Product Name] [Product Type] [Color] Size [Size]
```

### Key Attributes to Include

- Gender (Men's, Women's, Unisex)
- Color (primary color)
- Size (if variant)
- Material (if differentiator)
- Fit type (if relevant: Slim, Regular, Relaxed)

---

## Category 2: Electronics

**Structure**: Brand + Product Type + Key Spec + Model + Color

### Examples

| Before (Weak) | After (Optimized) |
|---------------|-------------------|
| Wireless Earbuds | Apple AirPods Pro 2nd Gen Wireless Earbuds Active Noise Cancelling |
| Laptop | Dell XPS 15 Laptop 15.6" 4K OLED Intel i7 32GB RAM 1TB SSD |
| Smart Watch | Samsung Galaxy Watch 6 Classic 47mm Bluetooth Black |
| Camera | Sony A7 IV Full Frame Mirrorless Camera 33MP Body Only |

### Template

```
[Brand] [Model/Series] [Product Type] [Key Spec] [Secondary Spec] [Color]
```

### Key Attributes to Include

- Model number/series
- Screen size (if display)
- Storage/Memory
- Key differentiating spec
- Color/Finish

---

## Category 3: Home   Garden

**Structure**: Brand + Product Type + Feature + Feature + Size/Capacity

### Examples

| Before (Weak) | After (Optimized) |
|---------------|-------------------|
| Vacuum Cleaner | Dyson V15 Detect Cordless Vacuum Cleaner Laser Dust Detection HEPA |
| Blender | Vitamix A3500 Ascent Series Blender 64oz Self-Cleaning Smart |
| Mattress | Casper Original Hybrid Mattress Queen Size 12" Medium Firm |
| Air Purifier | Molekule Air Pro PECO Air Purifier Large Room 1000sqft Medical Grade |

### Template

```
[Brand] [Model/Series] [Product Type] [Feature 1] [Feature 2] [Size/Capacity]
```

### Key Attributes to Include

- Model name/number
- Key differentiating features (2-3)
- Size/Capacity
- Technology/Material
- Room size (if applicable)

---

## Category 4: Beauty   Skincare

**Structure**: Brand + Product Name + Type + Size + Key Benefit

### Examples

| Before (Weak) | After (Optimized) |
|---------------|-------------------|
| Face Serum | SkinCeuticals C E Ferulic Vitamin C Serum 30ml Anti-Aging Brightening |
| Mascara | Maybelline Lash Sensational Sky High Mascara Volumizing Washable Black |
| Moisturizer | La Mer Creme de la Mer Moisturizing Cream 60ml Hydrating Anti-Aging |
| Shampoo | Olaplex No. 4 Bond Maintenance Shampoo 250ml Repair Damaged Hair |

### Template

```
[Brand] [Product Name] [Product Type] [Size] [Key Benefit 1] [Key Benefit 2]
```

### Key Attributes to Include

- Full product name (as customers know it)
- Size/Volume
- Key benefits (2-3)
- Skin/Hair type (if targeted)
- Hero ingredients (if differentiator)

---

## Category 5: Supplements   Nutrition

**Structure**: Brand + Product Name + Form + Quantity + Key Attribute

### Examples

| Before (Weak) | After (Optimized) |
|---------------|-------------------|
| Protein Powder | Optimum Nutrition Gold Standard Whey Protein Powder 5lb Double Chocolate |
| Creatine | Momentous Creatine Monohydrate Powder 60 Servings NSF Certified |
| Vitamin D | Nature Made Vitamin D3 2000 IU Softgels 250 Count Bone Health |
| Collagen | Vital Proteins Collagen Peptides Powder 20oz Unflavored Grass-Fed |

### Template

```
[Brand] [Product Name] [Form] [Quantity/Servings] [Key Attribute/Certification]
```

### Key Attributes to Include

- Form (Powder, Capsules, Softgels, Gummies)
- Quantity/Servings
- Flavor (if flavored)
- Certifications (NSF, USP, Organic)
- Key benefit/claim

---

## Multi-Angle Title Variations

For feed duplication strategy, create multiple titles targeting different search intents:

### Example: Collagen Supplement

| Angle | Title |
|-------|-------|
| Base | Momentous Collagen Peptides Powder 20oz Unflavored NSF Certified |
| Women | Momentous Collagen for Women Skin Hair Nails 20oz NSF Certified |
| Athletic | Momentous Collagen for Athletes Joint Recovery 20oz NSF Certified |
| Anti-Aging | Momentous Collagen Anti-Aging Supplement Peptides 20oz NSF Certified |

### Example: Running Shoes

| Angle | Title |
|-------|-------|
| Base | Nike Air Zoom Pegasus 40 Men's Running Shoes Black Size 10 |
| Cushioned | Nike Air Zoom Pegasus 40 Cushioned Running Shoes Men's Black Size 10 |
| Marathon | Nike Air Zoom Pegasus 40 Marathon Training Shoes Men's Black Size 10 |
| Flat Feet | Nike Air Zoom Pegasus 40 Running Shoes for Flat Feet Men's Black Size 10 |

---

## Common Title Mistakes to Avoid

| Mistake | Example | Why It's Bad |
|---------|---------|--------------|
| Generic | "Black Running Shoes" | No brand, no differentiation |
| ALL CAPS | "NIKE AIR MAX 90" | Algorithm penalizes |
| Promo language | "BEST DEAL! Nike Shoes" | Gets disapproved |
| Keyword stuffing | "Shoes Running Black Nike Men Athletic Sport" | Unnatural, flagged |
| Too short | "Nike Shoes" | Misses matching opportunities |
| Missing brand | "Air Zoom Pegasus 40" | Loses branded searches |

---

## Quick Reference: First 70 Characters

What to prioritize in the visible portion:

1. Brand name (ALWAYS)
2. Gender/Target (if applicable)
3. Product name/type
4. Primary differentiator (color, size, key feature)

Everything else can go in characters 71-150.

---

---

## Worked Example

**Business**: DTC supplement brand selling protein powders, collagen, and vitamins. 85 active SKUs. Monthly Shopping spend: $22K.

### Title Optimization for 4 Products

**Product 1: Whey Protein Powder**

| Version | Title | Characters | Issues |
|---------|-------|-----------|--------|
| Before | "Chocolate Protein Powder" | 26 | No brand, no form, no size, no differentiator |
| After | "FuelFit Whey Protein Isolate Powder Chocolate 2lb 30 Servings Low Sugar" | 69 | Brand + type + form + flavor + size + servings + differentiator - all within 70 chars |

**Product 2: Collagen Peptides**

| Version | Title | Characters |
|---------|-------|-----------|
| Before | "Collagen Powder" | 16 |
| After | "FuelFit Collagen Peptides Powder Unflavored 20oz 40 Servings Grass-Fed NSF" | 74 (first 70: "FuelFit Collagen Peptides Powder Unflavored 20oz 40 Servings Gras") |

Key attributes in first 70 chars: Brand, product name, form, flavor, size, servings. Certifications ("NSF") overflow to chars 71-74 - acceptable since core info is in the visible window.

**Product 3: Vitamin D3 (Multi-Angle Variation)**

| Angle | Title |
|-------|-------|
| Base | FuelFit Vitamin D3 5000 IU Softgels 120 Count Bone Health NSF Certified |
| Immune | FuelFit Vitamin D3 5000 IU Immune Support Softgels 120 Count NSF Certified |
| Athletic | FuelFit Vitamin D3 for Athletes 5000 IU Softgels 120 Count NSF Certified |

Each angle targets different search intent while keeping the same core product data. Use feed duplication to run all three simultaneously.

**Product 4: Pre-Workout (Common Mistakes Fixed)**

| Mistake | Bad Title | Fixed Title |
|---------|-----------|-------------|
| No brand | "Pre-Workout Powder Blue Raspberry" | "FuelFit Surge Pre-Workout Powder Blue Raspberry 30 Servings" |
| ALL CAPS | "FUELFIT SURGE PRE-WORKOUT POWDER" | "FuelFit Surge Pre-Workout Powder Blue Raspberry 30 Servings" |
| Promo language | "BEST DEAL! FuelFit Pre-Workout" | "FuelFit Surge Pre-Workout Powder Blue Raspberry 30 Servings" |
| Keyword stuffing | "Pre-Workout Energy Powder Workout Supplement Gym Pre Workout" | "FuelFit Surge Pre-Workout Powder Blue Raspberry 30 Servings" |

### Before/After Audit Summary

| SKU | Before Length | After Length | Attributes Added | Search Terms Gained |
|-----|-------------|-------------|-----------------|-------------------|
| Whey Protein | 26 chars | 69 chars | +Brand, +type, +size, +servings, +differentiator | "whey protein isolate", "low sugar protein" |
| Collagen | 16 chars | 74 chars | +Brand, +type, +size, +servings, +certification | "grass-fed collagen", "NSF collagen" |
| Vitamin D3 | 22 chars | 71 chars | +Brand, +dosage, +count, +benefit, +cert | "vitamin D3 5000 IU", "bone health supplement" |
| Pre-Workout | 38 chars | 60 chars | +Brand, +product name, +servings | "FuelFit pre-workout", "blue raspberry pre-workout" |

---

## Your Turn

Pick 5 of your highest-spend products. For each one:

1. Write the current title
2. Identify what's missing (use the category template above)
3. Write the optimized title (keep most important info in first 70 characters)
4. Create 2-3 multi-angle variations for feed duplication

| Product | Current Title | Optimized Title | Angles Created |
|---------|-------------|----------------|----------------|
| 1 | ____________ | ____________ | ___ |
| 2 | ____________ | ____________ | ___ |
| 3 | ____________ | ____________ | ___ |
| 4 | ____________ | ____________ | ___ |
| 5 | ____________ | ____________ | ___ |

---

## Interpretation Guide

| Situation | What It Means | Action |
|-----------|--------------|--------|
| Title under 40 characters | You're missing matching opportunities for long-tail searches | Add 2-3 more attributes (size, color, use case) |
| Brand name missing | Losing all branded search matches | Always put brand first in the title |
| Key attributes after character 70 | They won't display in most Shopping placements | Reorder to front-load the most important info |
| Multi-angle titles cannibalize each other | Too similar - Google shows the same product twice for the same query | Differentiate angles more sharply (benefit vs use case vs audience) |
| Title gets disapproved | Likely contains promotional language or ALL CAPS | Remove sale/deal language and fix capitalization |

*From: The Shopping Feed Optimization Playbook*
*F.I.L.L. Protocol: Feed, Images, Landing Pages, Listings*


# 50-Point Feed Audit Scorecard

**Account**: _______________
**Date**: _______________
**Audited By**: _______________

---

## Section 1: Foundation (10 Points)

*If these fail, everything else is unreliable.*

| # | Check Item | Pass | Fail | Notes |
|---|-----------|------|------|-------|
| 1.1 | Merchant Center linked to Google Ads | ⬜ | ⬜ | |
| 1.2 | Correct property linked (not old/wrong) | ⬜ | ⬜ | |
| 1.3 | Feed processing successfully (no errors) | ⬜ | ⬜ | |
| 1.4 | Less than 5% products disapproved | ⬜ | ⬜ | |
| 1.5 | No account-level warnings | ⬜ | ⬜ | |
| 1.6 | Currency matches target market | ⬜ | ⬜ | |
| 1.7 | Language matches target market | ⬜ | ⬜ | |
| 1.8 | Feed updates at least daily | ⬜ | ⬜ | |
| 1.9 | Price/availability sync with site | ⬜ | ⬜ | |
| 1.10 | No duplicate product IDs | ⬜ | ⬜ | |

**Section 1 Score**: _____ / 10

---

## Section 2: Titles (8 Points)

*The #1 factor for search matching.*

| # | Check Item | Pass | Fail | Notes |
|---|-----------|------|------|-------|
| 2.1 | Brand name included in titles | ⬜ | ⬜ | |
| 2.2 | Product type clearly stated | ⬜ | ⬜ | |
| 2.3 | Key attributes in title (color, size, etc.) | ⬜ | ⬜ | |
| 2.4 | Important info in first 70 characters | ⬜ | ⬜ | |
| 2.5 | Category-appropriate structure used | ⬜ | ⬜ | |
| 2.6 | No keyword stuffing | ⬜ | ⬜ | |
| 2.7 | No ALL CAPS or excessive punctuation | ⬜ | ⬜ | |
| 2.8 | Titles include actual search terms | ⬜ | ⬜ | |

**Section 2 Score**: _____ / 8

---

## Section 3: Identifiers (6 Points)

*30%+ visibility lift from correct GTINs.*

| # | Check Item | Pass | Fail | Notes |
|---|-----------|------|------|-------|
| 3.1 | GTINs added for all applicable products | ⬜ | ⬜ | |
| 3.2 | GTINs are valid format (correct length) | ⬜ | ⬜ | |
| 3.3 | No duplicate GTINs across products | ⬜ | ⬜ | |
| 3.4 | MPN added where no GTIN exists | ⬜ | ⬜ | |
| 3.5 | Brand attribute filled | ⬜ | ⬜ | |
| 3.6 | identifier_exists=false for custom products | ⬜ | ⬜ | N/A |

**Section 3 Score**: _____ / 6

---

## Section 4: Attributes (10 Points)

*Every missing attribute is a lost sale.*

| # | Check Item | Pass | Fail | Notes |
|---|-----------|------|------|-------|
| 4.1 | Description 500+ characters | ⬜ | ⬜ | |
| 4.2 | Google product category set (3+ levels) | ⬜ | ⬜ | |
| 4.3 | Product type set (broad → specific) | ⬜ | ⬜ | |
| 4.4 | Color attribute filled | ⬜ | ⬜ | |
| 4.5 | Size attribute filled (if applicable) | ⬜ | ⬜ | N/A |
| 4.6 | Gender attribute filled (if applicable) | ⬜ | ⬜ | N/A |
| 4.7 | Age group filled (if applicable) | ⬜ | ⬜ | N/A |
| 4.8 | Material attribute filled (if applicable) | ⬜ | ⬜ | N/A |
| 4.9 | Condition attribute set | ⬜ | ⬜ | |
| 4.10 | Overall attribute completion 90%+ | ⬜ | ⬜ | |

**Section 4 Score**: _____ / 10

---

## Section 5: Images (6 Points)

*Lifestyle images = 2-3x CTR.*

| # | Check Item | Pass | Fail | Notes |
|---|-----------|------|------|-------|
| 5.1 | Images 800x800+ pixels | ⬜ | ⬜ | |
| 5.2 | No watermarks or logos on images | ⬜ | ⬜ | |
| 5.3 | No promotional text overlays | ⬜ | ⬜ | |
| 5.4 | Product fills 75-90% of frame | ⬜ | ⬜ | |
| 5.5 | Images unique (not generic manufacturer) | ⬜ | ⬜ | |
| 5.6 | Variant-specific images for variants | ⬜ | ⬜ | |

**Section 5 Score**: _____ / 6

---

## Section 6: Merchant Center Settings (5 Points)

*Store Quality affects ranking.*

| # | Check Item | Pass | Fail | Notes |
|---|-----------|------|------|-------|
| 6.1 | Shipping settings configured | ⬜ | ⬜ | |
| 6.2 | Return policy set up | ⬜ | ⬜ | |
| 6.3 | Store Quality shipping score: Good+ | ⬜ | ⬜ | |
| 6.4 | Store Quality returns score: Good+ | ⬜ | ⬜ | |
| 6.5 | Product reviews enabled | ⬜ | ⬜ | |

**Section 6 Score**: _____ / 5

---

## Section 7: Advanced Optimization (5 Points)

*Separates top performers from everyone else.*

| # | Check Item | Pass | Fail | Notes |
|---|-----------|------|------|-------|
| 7.1 | Custom labels implemented | ⬜ | ⬜ | |
| 7.2 | Custom labels used for bid segmentation | ⬜ | ⬜ | |
| 7.3 | Promotions set up (if running promos) | ⬜ | ⬜ | N/A |
| 7.4 | Sale price attribute used correctly | ⬜ | ⬜ | N/A |
| 7.5 | Multiple feeds for different angles | ⬜ | ⬜ | Advanced |

**Section 7 Score**: _____ / 5

---

## Worked Example: Pet Supplies Store (420 SKUs)

| Section | Score | Max | % | Notes |
|---------|-------|-----|---|-------|
| 1. Foundation | 8 | 10 | 80% | Item 1.4 fail (12% disapproval), 1.8 fail (weekly not daily updates) |
| 2. Titles | 5 | 8 | 63% | Items 2.3, 2.4, 2.8 fail - titles are brand + SKU only |
| 3. Identifiers | 4 | 6 | 67% | Item 3.1 fail (GTINs on only 60% of products), 3.4 partial |
| 4. Attributes | 6 | 10 | 60% | Items 4.1, 4.2, 4.3, 4.10 fail - thin descriptions, shallow categories |
| 5. Images | 4 | 6 | 67% | Items 5.5, 5.6 fail - manufacturer images, no variant-specific |
| 6. Merchant Center | 3 | 5 | 60% | Items 6.3, 6.5 fail - no store quality score, no reviews |
| 7. Advanced | 1 | 5 | 20% | Only custom labels partly done |
| **TOTAL** | **31** | **50** | **62%** | **Status: Needs Work** |

### Priority Fix List for This Example

**Critical (Fix Today)**:

| Priority | Item # | Issue | Impact |
|----------|--------|-------|--------|
| 1 | 1.4 | 12% products disapproved | 50+ products not showing at all |
| 2 | 2.3/2.4 | Titles missing key attributes | Poor search matching on 80% of queries |
| 3 | 1.8 | Feed updates weekly not daily | Price/availability mismatches causing disapprovals |

**High (Fix This Week)**:

| Priority | Item # | Issue | Impact |
|----------|--------|-------|--------|
| 1 | 3.1 | GTINs missing on 40% of products | 30%+ visibility loss on those products |
| 2 | 4.1 | Descriptions under 500 chars | Lower quality score, worse matching |
| 3 | 4.2 | Google product categories only 1 level deep | Missing specific category auctions |

**Medium (Fix When Possible)**:

| Priority | Item # | Issue | Impact |
|----------|--------|-------|--------|
| 1 | 5.5 | Using manufacturer stock images | Lower CTR vs custom/lifestyle images |
| 2 | 6.5 | No product reviews enabled | Missing star ratings in Shopping ads |
| 3 | 7.2 | Custom labels not used for bidding | Cannot segment high/low margin in campaigns |

---

## Your Turn: Total Score Summary

| Section | Score | Max | % |
|---------|-------|-----|---|
| 1. Foundation | | 10 | |
| 2. Titles | | 8 | |
| 3. Identifiers | | 6 | |
| 4. Attributes | | 10 | |
| 5. Images | | 6 | |
| 6. Merchant Center | | 5 | |
| 7. Advanced | | 5 | |
| **TOTAL** | | **50** | |

---

## Interpretation Guide

| Score | Status | Action |
|-------|--------|--------|
| 45-50 | Excellent | Focus on advanced strategies (Section 7). Minor tweaks only. |
| 38-44 | Good | Fix flagged items in Sections 2-4. 15-25% improvement available. |
| 30-37 | Needs Work | Priority fixes in Sections 1-4. Expect 30-50% impression lift from fixes. |
| Below 30 | Critical | Systematic rebuild. Start with Section 1, then titles, then GTINs. |

**Benchmark**: Average feed score across 200+ audits is 29/50. If you score 38+, you're already ahead of most competitors.

---

## Your Priority Fix List

### Critical (Fix Today)

| Priority | Item # | Issue | Impact |
|----------|--------|-------|--------|
| 1 | | | |
| 2 | | | |
| 3 | | | |

### High (Fix This Week)

| Priority | Item # | Issue | Impact |
|----------|--------|-------|--------|
| 1 | | | |
| 2 | | | |
| 3 | | | |

### Medium (Fix When Possible)

| Priority | Item # | Issue | Impact |
|----------|--------|-------|--------|
| 1 | | | |
| 2 | | | |
| 3 | | | |

---

## Export to Google Sheets

Create a scoring spreadsheet:

| Column | Header | Formula (row 2) |
|--------|--------|-----------------|
| A | Section | (manual) |
| B | Item # | (manual) |
| C | Check Item | (manual) |
| D | Pass (1) / Fail (0) | (manual - enter 1 or 0) |
| E | Notes | (manual) |

**Summary sheet formulas**:
- Section score: `=SUMIF(A:A,"1. Foundation",D:D)` (repeat per section)
- Total: `=SUM(section_scores)`
- Percentage: `=total/50*100`
- Status: `=IF(total =45,"Excellent",IF(total =38,"Good",IF(total =30,"Needs Work","Critical")))`

---

## Next Steps

1. Fix all Section 1 (Foundation) failures first
2. Address title issues (Section 2) - biggest matching impact
3. Implement GTINs (Section 3) - 30%+ visibility lift
4. Complete attributes (Section 4)
5. Schedule re-audit in 30 days

---

**Audit Date**: _______________
**Re-audit Date**: _______________

---

*From: The Shopping Feed Optimization Playbook*
*F.I.L.L. Protocol: Feed, Images, Landing Pages, Listings*


# Competitor Gap Finder Worksheet

**Purpose**: Systematically analyze competitor feeds to find opportunities they're missing.

---

## Worked Example: Premium Dog Food Brand

### Step 1: Identify Your Top Competitors

Go to Google Ads   Campaigns   Auction Insights

Select your top Shopping/PMax campaigns. Note these metrics:

**Example** (Premium Dog Food store, $15K/month Shopping spend):

| Competitor | Impression Share | Overlap Rate | Outranking Share |
|------------|------------------|--------------|------------------|
| Chewy.com | 82% | 78% | 65% |
| PetSmart.com | 71% | 72% | 58% |
| Amazon.com | 90% | 85% | 72% |
| FreshPet.com | 45% | 52% | 38% |
| OlliePets.com | 32% | 41% | 29% |

**Priority Competitors** (highest overlap + outranking you):
1. **Amazon.com** (85% overlap, 72% outranking)
2. **Chewy.com** (78% overlap, 65% outranking)
3. **PetSmart.com** (72% overlap, 58% outranking)

---

## Your Turn

### Step 1: Identify Your Top Competitors

Go to Google Ads   Campaigns   Auction Insights

| Competitor | Impression Share | Overlap Rate | Outranking Share |
|------------|------------------|--------------|------------------|
| | | | |
| | | | |
| | | | |
| | | | |
| | | | |

**Priority Competitors** (highest overlap + outranking you):
1. _______________
2. _______________
3. _______________

---

## Step 2: Analyze Competitor Ads

For each priority competitor, search their top keywords and document their Shopping ads.

### Worked Example: Competitor 1 - Chewy.com

**Product searched**: "grain free salmon dog food"

| Element | What They Have | What's Missing | Your Opportunity |
|---------|----------------|----------------|------------------|
| Title structure | "Blue Buffalo Wilderness Grain-Free Salmon Recipe Dry Dog Food, 24-lb bag" | No size/age in first 70 chars | Front-load "Grain-Free Salmon" + size before brand |
| Image style | White background, product only | No lifestyle, no dog in image | Test lifestyle image: dog eating from bowl |
| Price display | $52.98 | No per-lb price shown | Highlight "Only $2.21/lb" in feed |
| Promotions | "Autoship: $50.33" | No promotional badge in Shopping | Set up Merchant Center promotions for "First Order 20% Off" |
| Ratings/Reviews | 4.6 stars, 8,200 reviews | Nothing missing | Collect reviews to compete (currently at 340) |
| Shipping badge | "Free 1-3 day shipping over $49" | None | Enable free shipping badge in MC |
| Return badge | Not visible | No return badge | Set up return policy for Shopping badge |

### Worked Example: Competitor 2 - Amazon.com

**Product searched**: "grain free salmon dog food"

| Element | What They Have | What's Missing | Your Opportunity |
|---------|----------------|----------------|------------------|
| Title structure | "Blue Buffalo Wilderness High Protein, Natural Adult Dry Dog Food, Salmon 24-lb" | Too long, key terms buried | Keep critical terms in first 70 chars |
| Image style | White background, multiple angles | No lifestyle shots | Lifestyle imagery differentiates from Amazon's catalog style |
| Price display | $52.98, "Save 5% with Subscribe" | No promotional badge | Use sale_price attribute during promotions |
| Promotions | Subscribe   Save 5% | No seasonal promotions visible | Run seasonal Merchant Center promotions |
| Ratings/Reviews | 4.7 stars, 42,000 reviews | Nothing missing | Cannot compete on volume - focus on niche authority |
| Shipping badge | "FREE delivery" (Prime) | None | Match with free shipping threshold |
| Return badge | "Free returns" | None | Enable return policy in MC |

---

## Your Turn

### Competitor 1: _______________

**Product searched**: _______________

| Element | What They Have | What's Missing | Your Opportunity |
|---------|----------------|----------------|------------------|
| Title structure | | | |
| Image style | | | |
| Price display | | | |
| Promotions | | | |
| Ratings/Reviews | | | |
| Shipping badge | | | |
| Return badge | | | |

### Competitor 2: _______________

**Product searched**: _______________

| Element | What They Have | What's Missing | Your Opportunity |
|---------|----------------|----------------|------------------|
| Title structure | | | |
| Image style | | | |
| Price display | | | |
| Promotions | | | |
| Ratings/Reviews | | | |
| Shipping badge | | | |
| Return badge | | | |

### Competitor 3: _______________

**Product searched**: _______________

| Element | What They Have | What's Missing | Your Opportunity |
|---------|----------------|----------------|------------------|
| Title structure | | | |
| Image style | | | |
| Price display | | | |
| Promotions | | | |
| Ratings/Reviews | | | |
| Shipping badge | | | |
| Return badge | | | |

---

## Step 3: Title Comparison

Compare competitor titles to yours for the same product type:

| Product Type | Competitor 1 Title | Competitor 2 Title | Your Title | Gap |
|--------------|-------------------|-------------------|------------|-----|
| | | | | |
| | | | | |
| | | | | |

### Common Gaps to Look For:

- [ ] Missing keywords they're targeting
- [ ] Attributes they include that you don't
- [ ] Longer/more descriptive titles
- [ ] Specific search terms in titles
- [ ] Category-specific details

---

## Step 4: Image Comparison

| Your Product | Your Image Style | Competitor Image Style | Winner? | Action |
|--------------|------------------|----------------------|---------|--------|
| | ⬜ White BG / ⬜ Lifestyle | ⬜ White BG / ⬜ Lifestyle | | |
| | ⬜ White BG / ⬜ Lifestyle | ⬜ White BG / ⬜ Lifestyle | | |
| | ⬜ White BG / ⬜ Lifestyle | ⬜ White BG / ⬜ Lifestyle | | |

### Image Opportunities:

- [ ] Test lifestyle images where competitors use white background
- [ ] Add context/usage imagery
- [ ] Show product in use
- [ ] Test different angles
- [ ] Add lifestyle variations via AI

---

## Step 5: Promotion   Offer Comparison

| Competitor | Promotion Type | Promo Badge? | Free Shipping? | Returns Badge? |
|------------|---------------|--------------|----------------|----------------|
| You | | ⬜ Yes / ⬜ No | ⬜ Yes / ⬜ No | ⬜ Yes / ⬜ No |
| Comp 1 | | ⬜ Yes / ⬜ No | ⬜ Yes / ⬜ No | ⬜ Yes / ⬜ No |
| Comp 2 | | ⬜ Yes / ⬜ No | ⬜ Yes / ⬜ No | ⬜ Yes / ⬜ No |
| Comp 3 | | ⬜ Yes / ⬜ No | ⬜ Yes / ⬜ No | ⬜ Yes / ⬜ No |

### Offer Opportunities:

- [ ] Add promotions in Merchant Center
- [ ] Enable free shipping badge
- [ ] Set up return policy for badge
- [ ] Create sale_price attribute for discounts

---

## Step 6: Review   Rating Comparison

| Competitor | Has Reviews? | Star Rating | Review Count |
|------------|-------------|-------------|--------------|
| You | ⬜ Yes / ⬜ No | | |
| Comp 1 | ⬜ Yes / ⬜ No | | |
| Comp 2 | ⬜ Yes / ⬜ No | | |
| Comp 3 | ⬜ Yes / ⬜ No | | |

### Review Opportunities:

- [ ] Enable Google Customer Reviews
- [ ] Connect third-party review aggregator
- [ ] Build review count on key products
- [ ] Focus on products with rating disadvantage

---

## Step 7: Pricing Position

| Product | Your Price | Comp 1 Price | Comp 2 Price | Comp 3 Price | Your Position |
|---------|-----------|--------------|--------------|--------------|---------------|
| | $ | $ | $ | $ | ⬜ Low / ⬜ Mid / ⬜ High |
| | $ | $ | $ | $ | ⬜ Low / ⬜ Mid / ⬜ High |
| | $ | $ | $ | $ | ⬜ Low / ⬜ Mid / ⬜ High |

### Pricing Actions:

- [ ] Competitive products: Aggressive bidding
- [ ] Premium products: Emphasize value/differentiation
- [ ] Use custom labels for price-tier bidding

---

## Step 8: Gap Summary   Action Plan

### Worked Example: Top 5 Gaps Found (Premium Dog Food)

| # | Gap | Competitor Advantage | Your Fix | Priority |
|---|-----|---------------------|----------|----------|
| 1 | No return badge in Shopping | Chewy + Amazon both show returns | Set up return policy in Merchant Center | 🔴 |
| 2 | Titles don't front-load key terms | Chewy has "Grain-Free Salmon" early | Restructure top 50 product titles | 🔴 |
| 3 | No promotional badges | Chewy shows "Autoship" savings | Create first-order discount in MC Promotions | 🟡 |
| 4 | White-bg images only | All competitors use white-bg too | Test lifestyle images (dog eating) for differentiation | 🟡 |
| 5 | Low review count (340 vs 8K+) | Chewy has 8,200; Amazon has 42,000 | Set up post-purchase review collection flow | 🟢 |

### Immediate Actions (This Week)
1. Set up return policy in Merchant Center for badge
2. Restructure titles on top 50 SKUs: [Product Type] + [Key Attribute] + [Brand] + [Size]
3. Enable free shipping badge (verify threshold matches)

### Medium-Term Actions (This Month)
1. Create promotional feed rules for first-order discount
2. Shoot 20 lifestyle product images for top sellers
3. Launch Stamped.io review collection on post-purchase email

---

### Your Turn: Top 5 Gaps Found

| # | Gap | Competitor Advantage | Your Fix | Priority |
|---|-----|---------------------|----------|----------|
| 1 | | | | 🔴 🟡 🟢 |
| 2 | | | | 🔴 🟡 🟢 |
| 3 | | | | 🔴 🟡 🟢 |
| 4 | | | | 🔴 🟡 🟢 |
| 5 | | | | 🔴 🟡 🟢 |

### Immediate Actions (This Week)

1. _______________________________________________
2. _______________________________________________
3. _______________________________________________

### Medium-Term Actions (This Month)

1. _______________________________________________
2. _______________________________________________
3. _______________________________________________

---

## Repeat Schedule

| Action | Frequency |
|--------|-----------|
| Quick competitor check | Weekly |
| Full gap analysis | Monthly |
| Deep competitive audit | Quarterly |

---

**Analysis Date**: _______________
**Next Review**: _______________

---

*From: The Shopping Feed Optimization Playbook*
*F.I.L.L. Protocol: Feed, Images, Landing Pages, Listings*


# AI Image Generation Prompt Library

**Purpose**: Copy these prompts into Gemini, Midjourney, or other AI image tools to create lifestyle product images.

---

## How to Use

1. Start with a clean, high-resolution product image (white background, front-facing)
2. Upload to your AI tool of choice
3. Copy the relevant prompt below
4. Customize bracketed sections [like this] for your product
5. Iterate with follow-up prompts to refine

---

## Apparel Prompts

### Casual Lifestyle - Outdoor

```
Place this [product type] on a model walking through a sun-drenched urban
park. Natural afternoon light. Relaxed posture, mid-stride. Background
slightly blurred with greenery and walking paths. Aspirational but
approachable lifestyle feel. Editorial quality.
```

### Active/Athletic - Gym

```
Show this [product type] being worn during an intense workout in a modern
gym. Dramatic lighting from windows. Motion blur on weights or equipment
in background. Sweat-glistened skin. Energy and determination in the pose.
Athletic brand aesthetic.
```

### Professional - Office

```
Model wearing this [product type] in a sleek, minimalist office space.
Natural light from floor-to-ceiling windows. City skyline visible in
background. Confident, professional posture. Clean, contemporary style.
Premium workwear brand aesthetic.
```

### Cozy/Comfort - Home

```
This [product type] worn while relaxing on a mid-century modern sofa.
Warm, golden hour light streaming through windows. Soft blanket, hot
beverage nearby. Comfortable, lived-in but stylish home environment.
Relaxed, genuine comfort feel.
```

---

## Electronics Prompts

### Desktop Setup - Tech

```
Place this [product] on a clean, modern desk setup. Soft RGB ambient
lighting. Minimal, organized workspace. 4K monitor visible in background.
Premium peripherals nearby. Tech enthusiast aesthetic. Sharp focus on
product with slight background blur.
```

### Lifestyle - Portable Use

```
Show this [product] being used by a young professional in a modern coffee
shop. Natural light from windows. Laptop and beverage nearby. Candid
moment of productivity. Contemporary, mobile lifestyle feel. Shallow depth
of field with product in sharp focus.
```

### Premium Unboxing

```
This [product] emerging from premium packaging on a marble or concrete
surface. Dramatic side lighting creating elegant shadows. Minimalist,
luxury aesthetic. Apple-inspired product photography style. Clean
background, focus entirely on product.
```

---

## Home   Garden Prompts

### Kitchen - In Use

```
This [product] in action in a bright, modern kitchen. Morning light
streaming through windows. Fresh ingredients on marble countertop.
Someone's hands using the product (action shot). Cooking lifestyle
aesthetic. Warm, inviting atmosphere.
```

### Living Room - Context

```
This [product] placed naturally in a beautifully designed living room.
Scandinavian/modern interior style. Afternoon light creating soft shadows.
Plants and design books visible. Product as part of curated lifestyle.
Interior design magazine quality.
```

### Outdoor - Garden

```
This [product] in use in a lush, well-maintained garden. Golden hour
light. Blooming flowers and healthy plants in background. Gardening
lifestyle aesthetic. Nature-connected, peaceful atmosphere. Product
as tool for beautiful outcomes.
```

---

## Beauty   Skincare Prompts

### Bathroom - Morning Ritual

```
This [product] on a marble bathroom counter during a morning skincare
routine. Soft, natural light from window. Mirror visible. Towel and
other premium skincare products nearby. Spa-like, self-care atmosphere.
Luxury beauty brand aesthetic.
```

### Flat Lay - Editorial

```
This [product] in an elegant flat lay arrangement on white marble.
Surrounded by complementary items: fresh flowers, fabric swatch, gold
accents. Soft, even lighting. Instagram-worthy editorial style. Clean,
premium beauty aesthetic.
```

### In-Use - Application

```
Close-up of this [product] being applied. Hands and partial face visible.
Soft, diffused lighting. Dewy, healthy skin. Focus on the sensorial
experience. Premium skincare application moment. Natural, authentic feel.
```

---

## Supplements   Nutrition Prompts

### Fitness - Post-Workout

```
This [product] on a gym bench next to a water bottle and towel. Person
in background, post-workout. Natural gym lighting. Athletic, health-
focused lifestyle. Energy and recovery atmosphere. Fitness brand aesthetic.
```

### Kitchen - Smoothie Prep

```
This [product] next to a blender with fresh fruits and vegetables.
Bright, airy kitchen. Morning light. Healthy lifestyle, meal prep
moment. Wellness and nutrition focus. Clean, energetic aesthetic.
```

### Lifestyle - Daily Routine

```
This [product] on a clean desk or nightstand next to a glass of water
and notebook. Morning or evening light. Daily routine, habit-building
context. Wellness integrated into life. Minimal, organized aesthetic.
```

---

## Food   Beverage Prompts

### Serving - Ready to Enjoy

```
This [product/food] beautifully plated on ceramic dishware. Rustic
wooden table surface. Linen napkin, artisanal utensils. Natural light
from window. Instagram food photography style. Warm, appetizing colors.
```

### Beverage - Pour Moment

```
This [beverage] being poured into a premium glass. Motion capture of
liquid. Dramatic side lighting. Ice or steam visible. Refreshing,
thirst-quenching moment. Beverage advertising aesthetic.
```

---

## Outdoor Gear Prompts

### Adventure - Trail

```
This [product] in use on a scenic mountain trail. Golden hour light.
Dramatic landscape visible. Person mid-hike, active pose. Adventure
lifestyle, exploration aesthetic. REI/Patagonia brand feel. Natural,
aspirational outdoors.
```

### Camp - Setup

```
This [product] at a picturesque campsite. Sunrise or sunset light.
Tent and campfire visible. Mountains or forest in background.
Outdoor adventure lifestyle. Gear that enables experiences. Rugged
but beautiful aesthetic.
```

---

## Product-Specific Modifiers

Add these to any prompt for specific effects:

### Material Emphasis

```
Emphasize the [leather/stainless steel/ceramic/fabric] texture and
quality. Show material in sharp detail. Light hitting surface to
reveal craftsmanship.
```

### Size Context

```
Include objects for size reference: [hand holding product / product
next to common object / product on body]. Make scale immediately clear.
```

### Color Accuracy

```
Ensure [color name] is accurately represented. True-to-life color
under natural lighting. Product color should be immediately clear
and appealing.
```

### Premium Feel

```
Elevate to luxury brand aesthetic. Premium materials visible. Perfect
lighting and styling. Magazine-quality composition. Aspirational but
attainable luxury.
```

---

## Follow-Up Refinement Prompts

When the first result isn't right:

**Lighting adjustment**:
```
Keep the composition but adjust lighting to be [warmer/cooler/softer/
more dramatic]. The current lighting is too [harsh/flat/cold].
```

**Background change**:
```
Love the product placement but change the background to [specific
environment]. Keep the same lighting quality and product position.
```

**Mood shift**:
```
Same scene but make it feel more [energetic/calm/luxurious/approachable].
Adjust colors and atmosphere accordingly.
```

**Composition fix**:
```
Move the product to be [more centered/rule of thirds/left side of frame].
Keep everything else the same. Product should be [larger/smaller] in frame.
```

---

## Testing Recommendations

1. **Start with best-sellers** - Highest traffic, most impact
2. **Test 3-5 variations per product** - Let algorithm pick winner
3. **Compare to current images** - A/B test in feed
4. **Watch traffic distribution** - Algorithm preference = winner
5. **Scale winners, iterate losers** - Continuous improvement

---

*From: The Shopping Feed Optimization Playbook*
*F.I.L.L. Protocol: Feed, Images, Landing Pages, Listings*


# RegEx Formula Cheat Sheet for Feed Optimization

**Purpose**: Copy-paste these formulas into your feed tool (DataFeedWatch, Channable, GoDataFeed, etc.) to clean and optimize feed data at scale.

---

## How to Use

Most feed tools support RegEx in their rule builders:
- DataFeedWatch: Rules   Edit Values   Replace Pattern
- Channable: Rules   Find   Replace   Use Regular Expression
- Google Sheets: =REGEXREPLACE(cell, pattern, replacement)

Test formulas on a few products before applying to entire feed.

---

## Title Cleaning

### Remove Extra Spaces

Multiple spaces between words look unprofessional and waste characters.

**Find**: `\s{2,}`
**Replace**: ` ` (single space)

**Example**:
- Before: "Nike  Air  Max   90"
- After: "Nike Air Max 90"

---

### Remove Leading/Trailing Spaces

Invisible spaces at start/end cause matching issues.

**Find**: `^\s+|\s+$`
**Replace**: (empty)

**Example**:
- Before: " Nike Air Max 90 "
- After: "Nike Air Max 90"

---

### Remove HTML Tags

Sometimes feed sources include stray HTML.

**Find**: ` [^ ]+ `
**Replace**: (empty)

**Example**:
- Before: "Nike  b Air Max /b  90"
- After: "Nike Air Max 90"

---

### Fix Duplicate Words

Removes accidentally repeated words.

**Find**: `\b(\w+)\s+\1\b`
**Replace**: `$1`

**Example**:
- Before: "Nike Air Air Max 90"
- After: "Nike Air Max 90"

---

### Remove Special Characters

Clean up characters that might cause issues.

**Find**: `[^\w\s\-\.]`
**Replace**: (empty)

**Example**:
- Before: "Nike Air Max 90™ - Men's!!!"
- After: "Nike Air Max 90 - Mens"

---

### Capitalize First Letter of Each Word

Title case for cleaner appearance.

**Find**: `\b([a-z])`
**Replace**: `\U$1`

(Note: Availability varies by tool)

---

## Size Standardization

### Standardize Size Format

Convert various size formats to consistent style.

**Find**: `(?i)(x-large|xlarge|x large)`
**Replace**: `XL`

**Find**: `(?i)(xx-large|xxlarge|xx large)`
**Replace**: `XXL`

**Find**: `(?i)(x-small|xsmall|x small)`
**Replace**: `XS`

---

### Standardize Numeric Sizes

Make shoe sizes consistent.

**Find**: `size:?\s*(\d+\.?\d*)`
**Replace**: `Size $1`

**Example**:
- Before: "size:10.5" or "size 10.5"
- After: "Size 10.5"

---

## Color Standardization

### Expand Color Abbreviations

Full color names improve matching.

**Find**: `(?i)\bblk\b`
**Replace**: `Black`

**Find**: `(?i)\bwht\b`
**Replace**: `White`

**Find**: `(?i)\bgry\b`
**Replace**: `Gray`

**Find**: `(?i)\bnvy\b`
**Replace**: `Navy`

---

### Standardize Multi-Color Format

Consistent format for multi-color products.

**Find**: `(\w+)\s*[/\\ ]\s*(\w+)`
**Replace**: `$1/$2`

**Example**:
- Before: "Black   White" or "Black\White"
- After: "Black/White"

---

## Description Cleaning

### Remove Promotional Language

Google penalizes promotional text in descriptions.

**Find**: `(?i)(best deal|limited time|order now|free shipping|sale|discount|\d+% off)`
**Replace**: (empty)

---

### Remove URLs from Description

URLs in descriptions can cause issues.

**Find**: `https?://[^\s]+`
**Replace**: (empty)

---

### Clean Line Breaks

Convert line breaks to spaces.

**Find**: `[\r\n]+`
**Replace**: ` `

---

### Limit Description Length

Truncate at 5000 characters (Google limit) while keeping complete sentences.

**Find**: `^(.{0,4900}[.!?])\s.*$`
**Replace**: `$1`

---

## Price Formatting

### Remove Currency Symbols

If your feed tool handles currency separately.

**Find**: `[$€£¥]`
**Replace**: (empty)

---

### Standardize Decimal Format

Ensure consistent decimal places.

**Find**: `(\d+)(?:\.(\d))?$`
**Replace**: `$1.$20`

(Adds trailing zero: 19.9 → 19.90)

---

### Remove Thousands Separators

Clean up price formatting.

**Find**: `(\d),(\d{3})`
**Replace**: `$1$2`

**Example**:
- Before: "1,299.99"
- After: "1299.99"

---

## GTIN Validation

### Remove Non-Numeric Characters

Clean GTINs that might have dashes or spaces.

**Find**: `[^\d]`
**Replace**: (empty)

**Example**:
- Before: "012-345-678-901-2"
- After: "0123456789012"

---

### Identify Invalid GTIN Length

Flag GTINs that aren't 8, 12, 13, or 14 digits.

**Find**: `^(?!\d{8}$|\d{12}$|\d{13}$|\d{14}$).*$`
**Action**: Flag for review

---

## Product Type Cleanup

### Standardize Category Separator

Make all product types use consistent separator.

**Find**: `\s*[ →|]\s*`
**Replace**: `   `

**Example**:
- Before: "Apparel|Shoes|Athletic"
- After: "Apparel   Shoes   Athletic"

---

### Remove Trailing Separators

Clean up incomplete product types.

**Find**: `\s* \s*$`
**Replace**: (empty)

---

## Custom Label Formulas

### Extract Price Tier

Create custom labels based on price ranges.

**Condition**: Price   50
**Set Label**: "price_tier_low"

**Condition**: Price  = 50 AND Price   100
**Set Label**: "price_tier_mid"

**Condition**: Price  = 100
**Set Label**: "price_tier_high"

---

### Flag New Products

Label products added in last 30 days.

**Condition**: Date added   TODAY-30
**Set Label**: "new_arrival"

---

### Mark Best Sellers

Label top performers by sales or conversion.

**Condition**: Monthly sales   X
**Set Label**: "best_seller"

---

## Testing Your RegEx

### Google Sheets Test

Before applying to full feed, test in Google Sheets:

```
=REGEXREPLACE(A1, "pattern", "replacement")
```

### Online Testers

- regex101.com - Visual testing with explanations
- regexr.com - Real-time testing

---

## Common Feed Tool Syntax

| Tool | RegEx Support | Case Sensitivity |
|------|---------------|------------------|
| DataFeedWatch | Full | Use (?i) for insensitive |
| Channable | Full | Checkbox option |
| GoDataFeed | Full | Use (?i) for insensitive |
| Google Sheets | RE2 syntax | Use (?i) for insensitive |
| Feedonomics | Full | Checkbox option |

---

## Troubleshooting

**Pattern not matching?**
- Check for hidden characters
- Try case-insensitive flag: `(?i)`
- Test on regex101.com first

**Replacement not working?**
- Check group references: `$1`, `$2`, etc.
- Some tools use `\1`, `\2` instead

**Too aggressive?**
- Add word boundaries: `\b` around patterns
- Make patterns more specific

---

*From: The Shopping Feed Optimization Playbook*
*F.I.L.L. Protocol: Feed, Images, Landing Pages, Listings*


# Custom Labels Strategy Guide

**Purpose**: Use custom labels to segment your products for smarter bidding and budget allocation.

---

## What Are Custom Labels?

Custom labels are optional attributes in your feed (custom_label_0 through custom_label_4) that let you group products by any criteria you choose.

Google Ads campaigns can then target or bid differently based on these labels.

**Why it matters**: Without segmentation, your high-margin winners subsidize your low-margin losers. Custom labels let you treat products appropriately.

---

## The 5 Custom Label Slots

You have 5 custom label fields available:

| Field | Common Use |
|-------|------------|
| custom_label_0 | Margin tier |
| custom_label_1 | Performance tier |
| custom_label_2 | Seasonality |
| custom_label_3 | Brand status |
| custom_label_4 | Price tier |

Use whatever structure makes sense for your business.

---

## Strategy 1: Margin-Based Segmentation

Bid aggressively on high-margin products, conservatively on low-margin.

### Setup

| Margin Range | Label Value | Bid Strategy |
|--------------|-------------|--------------|
| 70%+ | high_margin | Aggressive tROAS |
| 40-69% | medium_margin | Standard tROAS |
|  40% | low_margin | Conservative tROAS |

### Implementation

In your feed tool, add a rule:

```
IF margin  = 70%
  THEN custom_label_0 = "high_margin"

IF margin  = 40% AND margin   70%
  THEN custom_label_0 = "medium_margin"

IF margin   40%
  THEN custom_label_0 = "low_margin"
```

### Campaign Structure

Create separate campaigns or ad groups:
- High Margin Products - tROAS 400%
- Medium Margin Products - tROAS 500%
- Low Margin Products - tROAS 600%

---

## Strategy 2: Performance-Based Segmentation

Scale winners, test new products, reduce spend on losers.

### Setup

| Performance | Label Value | Action |
|-------------|-------------|--------|
| Top 20% by revenue | best_seller | Scale aggressively |
| Middle 60% | standard | Maintain |
| Bottom 20% | slow_mover | Reduce or exclude |
| No data | new_product | Test budget |

### Implementation

Use historical data (last 30-90 days):

```
IF 30d_revenue in TOP_20%
  THEN custom_label_1 = "best_seller"

IF 30d_revenue in MIDDLE_60%
  THEN custom_label_1 = "standard"

IF 30d_revenue in BOTTOM_20%
  THEN custom_label_1 = "slow_mover"

IF days_since_added   30
  THEN custom_label_1 = "new_product"
```

### Campaign Structure

- Best Sellers - 60% of budget, aggressive bidding
- Standard - 30% of budget, standard bidding
- New Products - 10% of budget, learning phase
- Slow Movers - Excluded or minimal budget

---

## Strategy 3: Seasonal Segmentation

Increase bids during relevant seasons, reduce during off-seasons.

### Setup

| Season | Label Value | Peak Months |
|--------|-------------|-------------|
| Year-round | evergreen | All |
| Summer | summer | May-Aug |
| Winter | winter | Nov-Feb |
| Holiday | holiday | Nov-Dec |
| Back to School | back_to_school | Jul-Sep |

### Implementation

```
IF product_category contains "swimwear" OR "sunglasses"
  THEN custom_label_2 = "summer"

IF product_category contains "coats" OR "boots" OR "holiday"
  THEN custom_label_2 = "winter"

IF product_category contains "gift" OR "holiday"
  THEN custom_label_2 = "holiday"

ELSE custom_label_2 = "evergreen"
```

### Bid Adjustments

Create seasonal bid modifiers:
- Summer products: +50% in May-Aug, -30% in Nov-Feb
- Winter products: +50% in Nov-Feb, -30% in May-Aug
- Holiday products: +100% in Nov-Dec, -50% Jan-Oct
- Evergreen: No adjustment

---

## Strategy 4: Brand vs. Non-Brand

Different ROAS targets for branded and non-branded products.

### Setup

| Type | Label Value | Typical ROAS |
|------|-------------|--------------|
| Your brand | own_brand | Higher (brand loyalty) |
| Resold brands | third_party | Lower (competition) |
| No brand | generic | Varies |

### Implementation

```
IF brand = "[Your Brand Name]"
  THEN custom_label_3 = "own_brand"

IF brand != "[Your Brand Name]" AND brand != ""
  THEN custom_label_3 = "third_party"

IF brand = ""
  THEN custom_label_3 = "generic"
```

### Campaign Structure

- Own Brand Products - tROAS 350% (loyal customers)
- Third Party Products - tROAS 500% (competitive)
- Generic Products - tROAS 450%

---

## Strategy 5: Price Tier Segmentation

Adjust bidding based on AOV potential.

### Setup

| Price Range | Label Value | Strategy |
|-------------|-------------|----------|
| $200+ | premium | Lower ROAS (higher AOV) |
| $50-199 | mid_range | Standard ROAS |
|  $50 | value | Higher ROAS (volume) |

### Implementation

```
IF price  = 200
  THEN custom_label_4 = "premium"

IF price  = 50 AND price   200
  THEN custom_label_4 = "mid_range"

IF price   50
  THEN custom_label_4 = "value"
```

### ROAS Targets

- Premium: tROAS 300% (acceptable lower ROAS, higher $ per sale)
- Mid-Range: tROAS 450%
- Value: tROAS 600% (need volume to make up margin)

---

## Strategy 6: Competitive Position

Bid based on how competitive your price is.

### Setup

| Position | Label Value | Strategy |
|----------|-------------|----------|
| Below market | price_leader | Aggressive (price advantage) |
| At market | price_competitive | Standard |
| Above market | price_premium | Conservative or emphasize value |

### Implementation

Requires competitor price data integration:

```
IF your_price   competitor_avg_price * 0.95
  THEN custom_label_0 = "price_leader"

IF your_price  = competitor_avg_price * 0.95 AND  = * 1.05
  THEN custom_label_0 = "price_competitive"

IF your_price   competitor_avg_price * 1.05
  THEN custom_label_0 = "price_premium"
```

### Bid Strategy

- Price Leader: Aggressive bidding (you'll win conversions)
- Price Competitive: Standard bidding
- Price Premium: Lower bids or emphasize unique value in other ways

---

## Combining Labels

You can use multiple labels together for sophisticated segmentation:

### Example: Margin + Performance

| custom_label_0 | custom_label_1 | Strategy |
|----------------|----------------|----------|
| high_margin | best_seller | Maximum scale |
| high_margin | slow_mover | Investigate why |
| low_margin | best_seller | Keep, accept lower ROAS |
| low_margin | slow_mover | Consider removing |

### Campaign Naming

```
Shopping - High Margin - Best Sellers (Scale)
Shopping - High Margin - Standard (Maintain)
Shopping - Medium Margin - All (Standard)
Shopping - Low Margin - Best Sellers Only (Selective)
```

---

## Implementation Checklist

### Step 1: Define Your Strategy
- [ ] Decide which 2-3 segmentation strategies make sense for your business
- [ ] Define label values for each strategy
- [ ] Document the rules for assigning each label

### Step 2: Update Your Feed
- [ ] Add custom_label_0 through custom_label_4 columns
- [ ] Create rules in your feed tool
- [ ] Test on a subset of products first
- [ ] Apply to full catalog

### Step 3: Create Campaign Structure
- [ ] Create campaigns or ad groups for each segment
- [ ] Set appropriate ROAS targets for each
- [ ] Allocate budget according to strategy

### Step 4: Monitor and Adjust
- [ ] Review performance by label weekly
- [ ] Adjust ROAS targets based on results
- [ ] Update label assignments monthly

---

## Common Mistakes

**Using too many labels**: Start with 1-2 strategies. Add more when you've mastered the first.

**Not updating labels**: Labels should be dynamic. Update based on performance data regularly.

**Ignoring new products**: Always have a strategy for products without performance data.

**Same bid for all labels**: The whole point is treating segments differently. Vary your bids.

**Too granular**: Don't create 20 segments. 3-5 is usually optimal for management.

---

## Maintenance Schedule

| Task | Frequency |
|------|-----------|
| Review label performance | Weekly |
| Adjust ROAS targets | Every 2 weeks |
| Update label assignments | Monthly |
| Review strategy | Quarterly |

---

*From: The Shopping Feed Optimization Playbook*
*F.I.L.L. Protocol: Feed, Images, Landing Pages, Listings*


# Bonus 1: Incrementality Test Design Template

**Format**: Google Sheets-Ready Template Guide
**Standalone Value**: $97

---

## Why Test Design Is the Whole Game

Most incrementality tests fail before they start. Not because the math is wrong. Not because the holdout was too small. They fail because nobody designed the test properly.

We've seen brands pause $30K/month in PMax spend across two random DMAs and call it a geo-split test. That's not a test. That's guessing with extra steps.

This template covers the "Map" stage of the I.M.P.A.C.T. Protocol - arguably the most important step. A well-designed test gives you clean data. A poorly designed test gives you noise that looks like data. And noise is worse than no data at all, because noise makes you confident about the wrong conclusions.

---

## Sheet 1: Market Selection Matrix

This is your starting point. You need at least 6-10 candidate markets to find 2-4 matched pairs that meet the criteria.

### Column Structure

| Column | What to Enter | Where to Find It | Why It Matters |
|--------|---------------|-------------------|----------------|
| Market / DMA | The designated market area name | Google Ads   Locations   DMA report | This is your unit of analysis - all test decisions happen at this level |
| Population | Metro statistical area population | Census Bureau or Google Ads estimated reach | Determines traffic volume available for the test |
| Monthly Revenue (Last 90d Avg) | Average monthly revenue from this DMA | Google Ads location report, filtered by conversions | Baseline for measuring lift or decline |
| Avg Conversion Rate | Conversions / clicks for this DMA | Google Ads location report | Must be similar between test and control markets |
| Avg Order Value | Revenue / conversions for this DMA | Google Ads location report or Shopify by region | AOV differences between markets will contaminate results |
| Seasonal Index | Revenue this quarter / revenue avg quarter | Historical data, last 12 months | Markets with different seasonal patterns can't be paired |
| Pair Assignment | Test, Control, or Unassigned | You assign this after matching | Final designation based on matching criteria below |

### How to Pull This Data

1. Open Google Ads
2. Go to **Campaigns**   select all campaigns in the test scope
3. Click **Locations** in the left menu
4. Switch to **Targeted locations** or **Matched locations** view
5. Filter by DMA (not city, not zip - DMA level)
6. Set date range to last 90 days
7. Export to Sheets

You want 90 days minimum. Shorter windows inject seasonal noise. A DMA that looks "similar" in a 2-week window might be wildly different across a full quarter.

### Worked Example: $50K/Month Shopping + Search Brand

Here's how this looks for a DTC skincare brand spending $50K/month across Shopping and Search, wanting to design their first geo-split test.

**Step 1**: Pull DMA-level data for the last 90 days.

| Market / DMA | Population | Monthly Rev | Conv Rate | AOV | Seasonal Index | Pair |
|-------------|------------|-------------|-----------|-----|----------------|------|
| Philadelphia | 6.2M | $4,800 | 3.1% | $72 | 1.05 | Test A |
| Tampa-St Pete | 3.1M | $2,400 | 2.9% | $68 | 1.08 | Control A |
| Minneapolis | 3.6M | $3,100 | 3.3% | $74 | 0.97 | Test B |
| Denver | 2.9M | $2,700 | 3.0% | $71 | 0.99 | Control B |
| Seattle | 4.0M | $5,200 | 3.8% | $89 | 1.12 | Excluded |
| Atlanta | 6.1M | $4,500 | 2.2% | $63 | 1.03 | Excluded |

**Why Seattle was excluded**: AOV of $89 is 20%+ higher than the $68-$74 range of other markets. That's a different customer profile - higher-income, different purchase behavior. Including it would bias results.

**Why Atlanta was excluded**: Conversion rate of 2.2% is well below the 2.9-3.3% range. Something is structurally different about this market - maybe weaker brand awareness, different competitive landscape. It doesn't match.

**Result**: Two matched pairs. Philadelphia/Tampa and Minneapolis/Denver. The test will suppress campaigns in Test A and Test B markets, leaving Control A and Control B running normally.

---

## Sheet 2: Matching Criteria Checklist

Not all market pairs are equal. Use this checklist to validate each proposed pair before committing.

### Mandatory Criteria (All Must Pass)

| Criteria | Threshold | How to Check | Pass/Fail |
|----------|-----------|-------------|-----------|
| Population ratio | Within 2x of each other | Census data / Google Ads reach | __ |
| Monthly revenue | Within 20% | 90-day average from location report | __ |
| Conversion rate | Within 15% | 90-day average from location report | __ |
| Average order value | Within 15% | Revenue / conversions | __ |
| Same timezone (or adjacent) | Max 1 hour difference | Geography | __ |
| Similar demographic profile | Top 2 income brackets within 10% | Census / Google Ads audience insights | __ |
| Minimal cross-border commerce | Less than 5% of conversions from adjacent DMA | Check shipping zip data if available | __ |
| Seasonal pattern match | Seasonal index within 0.1 of each other | 12-month historical comparison | __ |

### Preferred Criteria (3 of 5 Should Pass)

| Criteria | Threshold | Why It Helps |
|----------|-----------|-------------|
| Similar competitor density | Auction insights within 20% overlap | Prevents competitor-driven variance |
| Similar brand awareness | Brand search volume within 25% | Markets with different brand strength will respond differently to ad suppression |
| No major metro adjacency | Markets not adjacent on map | Reduces commuter contamination |
| Similar device mix | Mobile/desktop split within 10% | Device behavior affects conversion patterns |
| Similar new vs returning ratio | Within 15% | Markets with heavy returning customers will show different incrementality |

### The Contamination Problem

This is where most DIY tests go sideways. If your test market is Philadelphia and your control is New Jersey, you've got a problem. People commute across those borders daily. Someone sees your ad in New Jersey, drives to work in Philly (where ads are suppressed), and buys from their work IP. Now your control region is contaminated with test region exposure.

The fix: choose markets that are geographically separated by at least one DMA. Tampa and Minneapolis don't share commuters. That's a clean comparison.

---

## Sheet 3: Test Parameter Sheet

Fill this out before you touch a single campaign setting.

### Test Configuration

| Parameter | Your Value | Notes |
|-----------|------------|-------|
| **Test Name** | ___ | Descriptive: "Q1-2026-PMax-GeoSplit-Incrementality" |
| **Test Type** | Geo-split / Holdout / Pause / Pre-Post | Geo-split recommended for first test (I.M.P.A.C.T. Protocol Stage M) |
| **Campaigns Included** | ___ | List every campaign ID and name |
| **Test Markets** | ___ | From your Market Selection Matrix |
| **Control Markets** | ___ | Matched pair(s) from your checklist |
| **Holdout Percentage** | ___% | 15-20% of total revenue recommended |
| **Start Date** | ___ | Avoid holidays, promotions, or major launches |
| **End Date** | ___ | Minimum 3 weeks + conversion lag buffer |
| **Minimum Duration** | ___ weeks | See Duration Calculator in Bonus 2 |
| **Success Criteria** | ___ | Example: "Detect 15%+ lift at 80% statistical power" |
| **Primary Metric** | ___ | Revenue, conversions, or new customer revenue |
| **Secondary Metrics** | ___ | AOV, conversion rate, organic traffic change |
| **Monitoring Cadence** | ___ | Daily checks, weekly deep analysis |
| **Kill Switch Criteria** | ___ | "Pause if test region revenue drops  40% vs control" |
| **Data Sources** | ___ | Google Ads, GA4, Shopify, backend CRM |

### Campaign Selection Guidance

The I.M.P.A.C.T. Protocol's "Identify" stage recommends testing in this order:

1. **Brand Search** (lowest risk, fastest results, highest potential savings)
2. **PMax** (highest spend, most opaque, highest value from clarity)
3. **Non-brand Shopping** (typically highest incrementality - validates your budget)
4. **Non-brand Search** (moderate incrementality, longer test needed)
5. **Retargeting** (often lowest incrementality, good for Q3 when stakes are lower)

For your first test, start with brand search. It's the fastest to execute (7-day pause test), lowest risk (organic absorbs most traffic), and the findings directly inform your PMax incrementality analysis.

---

## Sheet 4: Timeline Planning Template

Every test follows four phases. Skipping any one of them compromises the results.

### Phase 1: Baseline Data Collection (2 Weeks)

| Day | Task | Status |
|-----|------|--------|
| Day -14 | Pull 90-day historical data for all test and control markets | __ |
| Day -14 | Set up Google Sheets tracking template with daily revenue by market | __ |
| Day -13 | Verify conversion tracking is firing correctly in all markets | __ |
| Day -12 | Set up GSC monitoring for organic metrics by market (if brand test) | __ |
| Day -10 | Run parallel tracking for 10 days to establish stable daily baseline | __ |
| Day -7 | Calculate baseline metrics: daily revenue, conversion rate, AOV per market | __ |
| Day -5 | Verify test/control variance is within 5% during baseline period | __ |
| Day -3 | Brief stakeholders: test design, timeline, success criteria, kill switch | __ |
| Day -1 | Final go/no-go check: no upcoming promotions, no site changes planned | __ |
| Day 0 | Activate test (suppress campaigns in test markets) | __ |

**Why 2 weeks of baseline**: You need at least 10 business days of parallel data to confirm your markets actually behave similarly in real-time. Historical similarity is necessary but not sufficient. Markets can diverge due to local events, weather, or competitive changes.

### Phase 2: Test Execution (3-4 Weeks)

| Day | Task | Status |
|-----|------|--------|
| Day 1 | Confirm campaign changes are live; verify no spend in test markets | __ |
| Day 1-3 | Daily monitoring: check for anomalies, verify no contamination | __ |
| Day 7 | Week 1 check: compute preliminary lift, check for obvious issues | __ |
| Day 14 | Week 2 check: compute running lift with partial data | __ |
| Day 21 | Week 3 check: sufficient data for directional signal | __ |
| Day 28 | Test end: reactivate campaigns (if 4-week duration) | __ |

**Minimum 3 weeks**: We've run tests that showed positive lift at Day 10 and flipped to neutral by Day 21. Short tests lie. The conversion lag data from Bonus 2 determines your exact minimum, but 3 weeks is the floor for geo-split tests.

### Phase 3: Data Collection + Lag Buffer (1-2 Weeks)

| Day | Task | Status |
|-----|------|--------|
| Day 29 | Campaigns reactivated; begin lag buffer period | __ |
| Day 29-42 | Continue collecting data from the test period (conversions still arriving) | __ |
| Day 35 | Pull preliminary results with 7-day lag buffer | __ |
| Day 42 | Pull final results with 14-day lag buffer | __ |

**Why the buffer**: If 30% of your conversions arrive after Day 14 (common in ecommerce), ending data collection the day you reactivate campaigns means you're missing those late conversions from the test period. The buffer captures them.

### Phase 4: Analysis (1 Week)

| Day | Task | Status |
|-----|------|--------|
| Day 43 | Compute iROAS, lift %, incrementality factor (use Bonus 3 dashboard) | __ |
| Day 44 | Run statistical significance checks (use Bonus 2 calculator) | __ |
| Day 45 | Prepare executive summary (template in Bonus 3) | __ |
| Day 46 | Internal review: validate findings, discuss implications | __ |
| Day 47 | Present to stakeholders with recommendations | __ |

**Total timeline**: 6-8 weeks from start of baseline to final presentation. That's the reality. Anyone who tells you they can run a meaningful incrementality test in 1 week is either testing brand search only (Bonus 4) or cutting corners that will invalidate the results.

---

## How to Use This With the I.M.P.A.C.T. Protocol

This template covers stages M (Map) and P (Prepare) of the protocol:

- **Sheet 1** (Market Selection Matrix) = the core of the Map stage
- **Sheet 2** (Matching Criteria) = quality assurance for your mapping
- **Sheet 3** (Test Parameters) = bridge between Map and Prepare
- **Sheet 4** (Timeline) = the Prepare stage execution plan

The next step after completing this template is stage A (Activate) - actually executing the test. Refer to the main playbook Chapter 3 for activation protocols, and use Bonus 2 (Geo-Split Calculator) to validate your sample sizes before you begin.

---

*From: The Google Ads Incrementality Testing Kit*
*I.M.P.A.C.T. Protocol: Identify, Map, Prepare, Activate, Calculate, Transform*


# Bonus 2: Geo-Split Test Calculator

**Format**: Calculation Template Guide
**Standalone Value**: $97

---

## Why the Math Matters

Here's the uncomfortable truth about incrementality testing. Most brands don't have enough data to detect what they think they can detect.

A brand with 300 weekly conversions runs a 4-week geo-split test hoping to determine if PMax drives a 10% incremental lift. They get inconclusive results. They blame the methodology. They blame the holdout size. They blame the statistician.

The real problem: they never had the statistical power to detect a 10% effect. They needed 1,000+ weekly conversions for that. With 300 conversions, they could only reliably detect effects of 25% or larger.

This calculator prevents that waste. You'll know before you start whether your test can actually answer the question you're asking.

This is the quantitative backbone of the I.M.P.A.C.T. Protocol's "Map" stage. Design without math is hope. Design with math is science.

---

## Section 1: Sample Size Calculator

### The Core Formula

For a two-sample proportion test at 80% statistical power and 95% confidence:

```
n = (Z_alpha + Z_beta)^2 * 2 * p * (1-p) / (delta)^2
```

Where:
- **Z_alpha** = 1.96 (for 95% confidence, two-tailed)
- **Z_beta** = 0.84 (for 80% power)
- **p** = baseline conversion rate
- **delta** = minimum detectable effect (MDE) as absolute difference in conversion rate

**Simplified for ecommerce**: If you don't want to run the formula yourself, use the pre-computed tables below. But understanding the inputs matters.

### What Each Input Means

**Baseline conversion rate (p)**: Your current conversion rate in the markets you're testing. If your Shopping campaigns convert at 3.2%, that's your p. Higher baseline rates need fewer observations to detect a given relative change.

**Minimum Detectable Effect (MDE)**: The smallest lift you care about finding. This is the critical input. Setting MDE too low (say, 5%) means you need enormous sample sizes. Setting MDE too high (say, 40%) means you'll only catch dramatic effects and might miss a real 20% lift.

**Statistical power (80%)**: The probability that your test will detect a real effect when one exists. 80% is standard. Going to 90% power requires roughly 30% more data. Going to 70% cuts your data requirement by 20% but increases the risk of missing a real effect.

### The Rule of Thumb

For conversion-based tests in ecommerce:

```
Minimum weekly conversions needed = 16 / (MDE)^2
```

This is the shortcut. At 80% power and 95% confidence:
- To detect a **5% lift**: you need ~6,400 weekly conversions per group
- To detect a **10% lift**: you need ~1,600 weekly conversions per group
- To detect a **15% lift**: you need ~711 weekly conversions per group
- To detect a **25% lift**: you need ~256 weekly conversions per group

"Per group" means each of your test and control groups needs this many conversions. If you're running a 15% holdout, your control group gets 15% of your total conversions. Plan accordingly.

---

## Section 2: Statistical Power Tables

These are pre-computed for the most common ecommerce scenarios. Find your weekly conversion volume in the left column and read across to see what effect sizes you can reliably detect.

### Table A: Minimum Test Duration (Weeks) at 80% Power, 95% Confidence

| Weekly Conversions (per group) | 5% MDE | 10% MDE | 15% MDE | 25% MDE |
|-------------------------------|--------|---------|---------|---------|
| 100 | 64 weeks | 16 weeks | 7 weeks | 3 weeks |
| 200 | 32 weeks | 8 weeks | 4 weeks | 2 weeks |
| 500 | 13 weeks | 3 weeks | 2 weeks | 1 week |
| 1,000 | 6 weeks | 2 weeks | 1 week |  1 week |
| 2,000 | 3 weeks | 1 week |  1 week |  1 week |
| 5,000 | 1 week |  1 week |  1 week |  1 week |

**How to read this**: If you have 500 weekly conversions per group and want to detect a 10% lift, you need approximately 3 weeks of test data. At 15% MDE, 2 weeks is sufficient.

**Important**: These are statistical minimums. Always add your conversion lag buffer on top (see Section 3). A "2-week" test usually means 2 weeks of execution + 1-2 weeks of lag buffer = 3-4 weeks total.

### Table B: Minimum Detectable Effect by Weekly Volume

| Weekly Conversions (per group) | 2-week test | 3-week test | 4-week test | 6-week test |
|-------------------------------|-------------|-------------|-------------|-------------|
| 50 | 40%+ | 33% | 28% | 23% |
| 100 | 28% | 23% | 20% | 16% |
| 200 | 20% | 16% | 14% | 12% |
| 500 | 13% | 10% | 9% | 7% |
| 1,000 | 9% | 7% | 6% | 5% |
| 2,000 | 6% | 5% | 4.5% | 3.5% |
| 5,000 | 4% | 3% | 2.8% | 2.3% |

**How to read this**: If you have 200 weekly conversions per group and run a 4-week test, you can detect effects of 14% or larger. If the true incremental lift is 10%, your test won't be powerful enough to find it with statistical significance.

This is the table that saves you from running a test you can't win.

---

## Section 3: Duration Estimator

Test duration is determined by two factors: the statistical sample size requirement AND your conversion lag.

### Step 1: Statistical Duration

Use Table A above. Find your weekly conversion volume and desired MDE. That's your statistical minimum.

### Step 2: Conversion Lag Buffer

Pull your conversion lag data from Google Ads (Tools   Attribution   Paths   Days to Conversion):

| Conversion Lag Profile | Buffer to Add | Total Test Duration |
|-----------------------|---------------|---------------------|
| 90%+ converts within 3 days | Add 1 week | Statistical minimum + 1 week |
| 80%+ converts within 7 days | Add 1.5 weeks | Statistical minimum + 1.5 weeks |
| 70%+ converts within 7 days | Add 2 weeks | Statistical minimum + 2 weeks |
| 60%+ converts within 7 days | Add 3 weeks | Statistical minimum + 3 weeks |

### Step 3: Calendar Constraints

Before finalizing the duration:

- **Avoid holidays**: Don't run a test that overlaps Black Friday, Christmas, or major sale events. Promotional behavior breaks the test/control comparison.
- **Avoid promotions**: If you're running a site-wide sale in Week 3, the test is compromised. Both groups see the same promotion but respond differently.
- **Avoid launches**: New product launches change traffic patterns. Run the test during a "normal" business period.
- **Check competitive calendar**: If your biggest competitor is running a massive campaign in one of your test markets but not the other, that's external contamination.

### Duration Formula

```
Total Duration = Statistical Duration + Conversion Lag Buffer + 2 Weeks Baseline
```

For most ecommerce brands spending $10K-$100K/month:

```
Typical total: 2 (baseline) + 3-4 (execution) + 1-2 (lag buffer) = 6-8 weeks
```

---

## Section 4: Minimum Detectable Effect by Channel

Not all channels need the same MDE. Brand search tests show enormous effects (or none at all). Non-brand Shopping typically has moderate effects. This section helps you set realistic expectations.

### Recommended MDE by Channel

| Channel | Typical Incremental Effect | Recommended MDE | Why |
|---------|---------------------------|-----------------|-----|
| Brand Search | 0-99% (huge variance) | 25%+ | Effects are binary: either organic absorbs most traffic (eBay: 99.5%) or it doesn't (Edmunds: 50%). You don't need fine precision here. |
| Non-brand Search | 40-80% incremental | 15-20% | Most non-brand search is moderately incremental. You're testing for significant non-incrementality. |
| Shopping (non-brand) | 60-90% incremental | 15-25% | Generally highest incrementality. Your test is confirming that Shopping spend is working. |
| PMax (mixed) | Varies wildly | 10-15% | PMax bundles brand + non-brand. The 33% overstatement Caraway found is typical. You want to detect 10-15% effects here. |
| PMax (brand excluded) | Higher than standard PMax | 10-15% | With brand exclusions, PMax incrementality is cleaner. Still target 10-15%. |
| Retargeting / Remarketing | 10-40% incremental | 20-25% | Often low incrementality - these people were going to buy anyway. High MDE is fine because you're looking for "is this even working?" |
| Demand Gen / Display | 20-50% incremental | 20-25% | Similar to retargeting. Effects are moderate. You don't need surgical precision. |

### What This Means in Practice

If you're testing PMax with an MDE of 10%, you need roughly 1,600 weekly conversions per group. Most mid-market brands don't have that volume. So you either:

1. Increase MDE to 15-20% (accept less precision)
2. Run a longer test (6+ weeks)
3. Use a broader geo split (more markets in each group)

All three are valid. The wrong choice is running a test you can't power and then acting on inconclusive results as if they're conclusive.

---

## Section 5: Bayesian vs. Frequentist Guidance

Two approaches to analyzing your results. Both are valid. Here's when to use each.

### Frequentist (The Standard)

**What it tells you**: "Is the observed difference statistically significant at the 95% confidence level?" (p   0.05)

**Use when**:
- Presenting to leadership or finance teams who expect "statistically significant" language
- The decision is binary and high-stakes (kill a $30K/month campaign or keep it)
- You need to defend the decision in a board meeting
- Academic rigor matters for your organization

**Threshold**: p   0.05 (95% confidence). If p = 0.03, the result is significant. If p = 0.08, it's not.

**The problem**: With small sample sizes (which most ecommerce brands have), frequentist tests often return "inconclusive." You ran a 4-week test, got p = 0.12, and now you know nothing. That's frustrating, but it's honest.

### Bayesian (The Practical Alternative)

**What it tells you**: "What is the probability that the treatment effect is greater than zero?" Or: "There is an 85% probability that PMax provides at least 5% incremental lift."

**Use when**:
- You want a probability statement, not a binary pass/fail
- Your sample size is smaller (common for mid-market brands)
- The decision is not binary - you might adjust budget by 20% rather than kill entirely
- You're comfortable with "80% likely to be true" as a decision threshold
- Google's Conversion Lift uses Bayesian methodology, so you're aligning with their framework

**Threshold**: 80%+ credible probability for directional decisions. 90%+ for high-stakes budget decisions.

### Decision Matrix

| Scenario | Method | Why |
|----------|--------|-----|
| Brand search pause test (7 days, binary kill/keep) | Either works - effects are usually large enough for both | Start Bayesian, present Frequentist if the audience demands it |
| PMax geo-split (4 weeks, budget reallocation) | Bayesian | You're not killing PMax - you're calibrating. 80% probability of a 0.7x factor is actionable. |
| Non-brand Shopping (validating spend) | Frequentist | If Shopping is truly incremental, you want that confidence. p   0.05 gives you permission to scale. |
| Retargeting incrementality (reduce or eliminate) | Bayesian | Low volume makes frequentist inconclusive. "75% probability of  20% incrementality" is enough to reduce budget. |
| Board presentation | Frequentist | Even if you ran Bayesian analysis, translate to p-values for the audience. |

---

## Section 6: Worked Example

### Scenario: DTC Supplement Brand, 300 Weekly Conversions, Testing Non-Brand Shopping

**The question**: "Is our non-brand Shopping spend actually incremental, or would these customers have found us anyway?"

**Step 1: Define the test parameters**

- Monthly Shopping spend (non-brand): $35K
- Weekly conversions across all markets: ~300
- Geo-split plan: 20% holdout (3 of 15 active DMAs)
- Weekly conversions in holdout group: ~60
- Weekly conversions in test group: ~240

**Step 2: Check what you can detect**

From Table B with 60 weekly conversions per group:
- 2-week test: can detect 37%+ effects
- 3-week test: can detect 30%+ effects
- 4-week test: can detect 26%+ effects
- 6-week test: can detect 21%+ effects

**Step 3: Is this useful?**

Non-brand Shopping is typically 60-90% incremental. If the true incrementality is 75%, we'd see a 25% decline in conversions when we suppress ads. A 4-week test can detect 26% effects. Close, but tight.

Better option: run a 6-week test to detect 21%+ effects. This gives more room and accounts for normal variance.

**Step 4: Add conversion lag buffer**

This brand's conversion lag: 75% of conversions within 7 days. Add 2 weeks of buffer.

**Total duration**: 2 weeks baseline + 6 weeks execution + 2 weeks lag buffer = **10 weeks total**.

**Step 5: Sanity check**

Holdout cost: 20% of $35K = $7K/month in suppressed spend for 1.5 months = ~$10.5K of "lost" spend during the test. If the test reveals even 15% non-incrementality, that's $5,250/month in reallocation opportunity - the test pays for itself in 2 months.

**Step 6: Choose statistical method**

With 60 conversions per group per week over 6 weeks = ~360 total conversions per group. Frequentist will work if the effect is 25%+. Use Bayesian as a supplement for effects between 15-25%.

**Verdict**: This test is viable. The brand can reliably detect whether non-brand Shopping is significantly non-incremental (25%+). They won't be able to detect subtle 10% effects - but that's okay. If Shopping is 90% incremental, the test will confirm that by showing no significant decline in the control group.

This is the "Calculate" stage of the I.M.P.A.C.T. Protocol in action. Know what you can measure before you measure it.

---

## Quick Reference Card

### Before You Start Any Test, Answer These Three Questions

1. **How many weekly conversions do I have per group?** (Divide total by holdout percentage)
2. **What's the smallest effect I care about detecting?** (Use the channel-level MDE recommendations)
3. **Do I have enough volume?** (Check Table B - if your MDE is larger than the typical channel effect, the test is underpowered)

If the answer to #3 is "no," you have three options:
- Run a longer test
- Accept a higher MDE (less precision)
- Test a different channel first (brand search works with much less data)

---

*From: The Google Ads Incrementality Testing Kit*
*I.M.P.A.C.T. Protocol: Identify, Map, Prepare, Activate, Calculate, Transform*


# Bonus 3: Results Dashboard Template

**Format**: Reporting Template Guide
**Standalone Value**: $75

---

## What This Dashboard Does

You ran the test. You collected the data. Now what?

This is the part where most teams fumble. They've got spreadsheets full of daily revenue figures by market. They've got conversion counts. They've got a vague sense that "something happened." But they don't have a clear answer to the question that started all of this: "How much of my ad spend is actually incremental?"

This dashboard turns raw test data into three things: a number (the incrementality factor), a confidence level (how much you should trust that number), and a recommendation (what to do next). That's the "Calculate" stage of the I.M.P.A.C.T. Protocol - and it's where the entire test becomes worth the investment.

---

## Section 1: iROAS Calculator

### Input Fields

| Input | Where to Find It | Example |
|-------|-------------------|---------|
| Test Region Revenue (during test) | Google Ads + Shopify, filtered by test DMAs | $42,000 |
| Control Region Revenue (during test) | Google Ads + Shopify, filtered by control DMAs | $51,000 |
| Test Region Revenue (baseline period) | Same sources, pre-test period | $48,000 |
| Control Region Revenue (baseline period) | Same sources, pre-test period | $50,000 |
| Test Region Ad Spend (during test) | Google Ads, test DMAs | $0 (suppressed) |
| Control Region Ad Spend (during test) | Google Ads, control DMAs | $18,000 |
| Pre-Test Revenue Ratio (Test/Control) | Calculated from baseline | 0.96 |

### Core Calculations

**Step 1: Calculate Expected Revenue (What Test Region Would Have Done Without Suppression)**

```
Expected Test Revenue = Control Revenue (test period) x Pre-Test Ratio
Expected Test Revenue = $51,000 x 0.96 = $48,960
```

This is the counterfactual. If the test region had continued running ads at the same relative pace as the control region, it would have generated $48,960.

**Step 2: Calculate Incremental Revenue**

```
Incremental Revenue = Expected Test Revenue - Actual Test Revenue
Incremental Revenue = $48,960 - $42,000 = $6,960
```

The ads were responsible for $6,960 in revenue that wouldn't have happened otherwise. The remaining $42,000 would have come in anyway - through organic, direct, email, and other channels.

**Step 3: Calculate Lift Percentage**

```
Lift % = Incremental Revenue / Actual Test Revenue x 100
Lift % = $6,960 / $42,000 x 100 = 16.6%
```

Suppressing ads caused a 16.6% decline. That means 16.6% of the revenue in those markets was incremental from paid ads.

**Step 4: Compute iROAS (Incremental ROAS)**

```
iROAS = Incremental Revenue / Ad Spend (control, scaled to test region)
```

We need to estimate what the test region's ad spend would have been. Scale the control spend by the pre-test ratio:

```
Estimated Test Ad Spend = Control Ad Spend x Pre-Test Ratio
Estimated Test Ad Spend = $18,000 x 0.96 = $17,280

iROAS = $6,960 / $17,280 = 0.40x
```

Wait - that means for every dollar spent, only $0.40 was truly incremental? Yes. And this is actually a common finding.

**Step 5: Compute the Incrementality Factor**

```
Incrementality Factor = Incremental Revenue / Total Platform-Reported Revenue
```

If Google Ads reported $48,960 in revenue for those markets before the test (the expected figure), but only $6,960 was incremental:

```
Incrementality Factor = $6,960 / $48,960 = 0.14
```

This means platform ROAS should be multiplied by 0.14 to get true iROAS. If your dashboard shows 4.0x ROAS, the incremental ROAS is approximately 0.56x.

That's a painful number. It's also the most valuable number in your entire account.

### Worked Example: PMax Test With 33% Overstatement

Let's use a scenario closer to the Caraway case study - a DTC brand where PMax overstated by 33%.

| Input | Value |
|-------|-------|
| Test Region Revenue (test period) | $85,000 |
| Control Region Revenue (test period) | $126,000 |
| Pre-Test Revenue Ratio | 1.01 |
| Platform-Reported ROAS | 4.8x |
| Control Region Ad Spend | $26,000 |

**Calculations**:

The control region (ads running) generated $126,000. The test region (ads suppressed) generated $85,000. The baseline ratio was 1.01 (test region was slightly larger pre-test).

```
Expected Test Revenue (if ads had run) = $126,000 x 1.01 = $127,260
Revenue Lost Due to Ad Suppression = $127,260 - $85,000 = $42,260
Lift % = $42,260 / $85,000 = 49.7% decline when ads suppressed
Estimated Test Spend = $26,000 x 1.01 = $26,260
iROAS = $42,260 / $26,260 = 1.61x
Incrementality Factor = $42,260 / $127,260 = 0.33
```

Platform said the ads drove $127,260 in revenue. Reality: the ads were responsible for $42,260. That's a 67% overstatement - or equivalently, only 33% of platform-reported revenue was incremental. The incrementality factor is **0.33x**.

**Applying the factor**: When Google Ads shows 4.8x ROAS for PMax, your true iROAS is 4.8 x 0.33 = **1.58x**. Still positive, still worth running - but a very different number for budget planning.

---

## Section 2: Lift Visualization Framework

### Chart 1: Test vs. Control Revenue Over Time

Build a line chart with:
- **X-axis**: Date (daily or weekly)
- **Y-axis**: Revenue (normalized by pre-test ratio)
- **Line 1**: Control region revenue (blue, solid)
- **Line 2**: Test region revenue (red, solid)
- **Vertical line**: Test start date (dashed black)
- **Vertical line**: Test end date (dashed black)
- **Shaded area**: The gap between lines during test period = incremental revenue

Before the test start date, the two lines should track closely (that's your baseline validation). After the test starts, the gap between them is your incremental effect.

### Chart 2: Cumulative Lift Over Time

- **X-axis**: Days since test start
- **Y-axis**: Cumulative lift percentage
- **Single line**: Running lift calculation, updated daily

This chart shows whether your lift is stable or volatile. A stable lift that holds at 15% for 3 weeks is a reliable finding. A lift that swings between -5% and +30% daily is noise - you need more data.

### Chart 3: Confidence Interval Band

- **X-axis**: Days since test start
- **Y-axis**: Estimated lift
- **Center line**: Point estimate of lift
- **Shaded band**: 95% confidence interval (or 80% credible interval for Bayesian)
- **Reference line**: 0% lift (horizontal)

When the entire confidence band is above 0%, you've reached statistical significance. When it still crosses 0%, the result is directional but inconclusive.

---

## Section 3: Significance Indicators

### Traffic Light System

Use this for quick stakeholder communication. Every metric gets a color.

| Color | Meaning | Threshold | Action |
|-------|---------|-----------|--------|
| Green | Statistically significant | p   0.05 OR Bayesian probability   90% | Act on results with confidence |
| Yellow | Directional signal | p = 0.05-0.20 OR Bayesian probability 70-90% | Use for guidance, not definitive decisions; consider extending test |
| Red | Inconclusive | p   0.20 OR Bayesian probability   70% | Do not act on results; redesign test with more volume or longer duration |

### How to Apply Colors

| Metric | Your Value | Color | Notes |
|--------|------------|-------|-------|
| Lift % | ___% | __ | Green if p   0.05 |
| iROAS | ___x | __ | Green if confidence interval doesn't cross 1.0 |
| Incrementality Factor | ___x | __ | Green if confidence interval is narrow (within +/- 0.1) |
| Revenue Impact | $___ | __ | Green if lift is Green |
| Organic Offset | ___% | __ | For brand search: % of traffic absorbed by organic |

### When Yellow Is Good Enough

Not every decision needs Green. If you're deciding whether to reduce brand search spend from $25K to $15K, a Yellow signal showing "organic likely absorbs 60-80% of brand traffic" is enough to act on. You're not killing the channel - you're adjusting it.

Green matters when the decision is binary: kill or keep. Yellow works when the decision is graduated: adjust by how much.

---

## Section 4: Executive Summary Template

One page. This is what leadership sees.

### Template

```
INCREMENTALITY TEST RESULTS
[Test Name] | [Date Range] | [Confidence Level: Green/Yellow/Red]

WHAT WE TESTED
[1-2 sentences: which campaigns, which markets, how long]

Example: We suppressed PMax campaigns in Philadelphia and Minneapolis
for 4 weeks while maintaining campaigns in Tampa and Denver as controls.

KEY FINDING
[1 sentence with the headline number]

Example: PMax campaigns overstated revenue by 67%. Only 33% of
platform-reported revenue was truly incremental.

THE NUMBERS
- Platform ROAS: [X.Xx]
- Incremental ROAS: [X.Xx]
- Incrementality Factor: [0.XXx]
- Revenue at risk: $[X,XXX]/month in non-incremental spend
- Confidence: [Green/Yellow/Red] - [p-value or Bayesian probability]

WHAT THIS MEANS
[2-3 sentences translating the finding into business impact]

Example: Our PMax budget of $52K/month is driving approximately
$17K/month in incremental revenue. The remaining $35K in reported
revenue would have occurred through organic and direct channels.
At 0.33x factor, our true iROAS is 1.58x - still positive, but
significantly lower than the 4.8x our dashboard shows.

RECOMMENDATION
[Choose one]
- MAINTAIN: Results confirm spend is working. Continue at current level.
- OPTIMIZE: Apply incrementality factor to reporting. Reallocate $[X]
  from non-incremental channels to proven incremental channels.
- REDUCE: Reduce spend by [X]% based on low incrementality. Monitor
  for [X] weeks to confirm.
- ELIMINATE: Testing shows near-zero incrementality. Reallocate
  entire budget.

NEXT STEPS
1. [Immediate action]
2. [30-day action]
3. [Next test in the calendar]
```

### Formatting Notes

Keep this to one page. No appendix on the first page - put detailed data in a separate tab or document. Leadership wants the answer, the number, and the action. Give them exactly that.

In our audits, the teams that get budget changes approved are the ones who present a single number with a clear recommendation. The teams that fail show up with 12 tabs of data and no conclusion.

---

## Section 5: Incrementality Factor Application

### Daily Reporting Calibration

Once you have an incrementality factor, apply it to your ongoing reporting. This is the "Transform" stage of the I.M.P.A.C.T. Protocol - where a one-time test becomes a permanent improvement in how you read your data.

### How to Apply the Factor

| Dashboard Metric | What You See | Factor | What's Real |
|-----------------|-------------|--------|-------------|
| PMax ROAS | 4.8x | x 0.33 | 1.58x iROAS |
| Brand Search ROAS | 12.0x | x 0.15 | 1.80x iROAS |
| Non-Brand Shopping ROAS | 3.2x | x 0.75 | 2.40x iROAS |
| Non-Brand Search ROAS | 2.8x | x 0.65 | 1.82x iROAS |

### Building a Calibrated Dashboard

Add a "Calibrated" column to your weekly reporting spreadsheet:

| Column | Formula |
|--------|---------|
| Platform Revenue | Directly from Google Ads |
| Platform ROAS | Platform Revenue / Spend |
| Incrementality Factor | From your test (or default 0.7x if untested) |
| Calibrated Revenue | Platform Revenue x Factor |
| Calibrated ROAS (iROAS) | Calibrated Revenue / Spend |

### The 0.7x Default Rule

Haven't tested a specific channel yet? Use 0.7x as a conservative default factor. This is based on the average overstatement we've seen across hundreds of audits. It's not precise - it's a placeholder until you run your own test.

```
Untested channel iROAS estimate = Platform ROAS x 0.7
```

If a campaign looks profitable at 0.7x, it's probably safe. If it falls below your iROAS target at 0.7x, that channel should be next on your testing calendar.

### Factor Expiration

Your incrementality factor is not permanent. It shifts with:

- **Seasonality**: Q4 brand search incrementality differs from Q1
- **Competitive changes**: New competitors entering brand bidding changes the equation
- **Algorithm updates**: Google's targeting changes affect what PMax can claim
- **Business changes**: New products, new markets, brand awareness campaigns

**Refresh cadence**: Retest each factor every 2 quarters minimum. More often if you've made major changes to campaign structure, targeting, or budget levels.

We've seen brands apply a Q1 incrementality factor to Q4 data and make allocation decisions that cost them $40K+ during peak season. The factor had shifted 15 points between quarters because competitor bidding patterns changed.

---

## Section 6: Complete Dashboard Tab Structure

### Tab 1: Raw Data Input

Columns: Date, Market, Group (Test/Control), Revenue, Conversions, Spend, Organic Traffic, Organic Conversions

### Tab 2: Baseline Comparison

Pre-test period metrics side by side. Validates that test and control were similar before the test.

### Tab 3: Test Period Results

Daily and weekly revenue by group. Running lift calculation. Cumulative chart data.

### Tab 4: Statistical Analysis

iROAS calculation, lift %, incrementality factor, significance indicators, confidence intervals.

### Tab 5: Executive Summary

The one-page template from Section 4. Auto-populated from Tabs 2-4.

### Tab 6: Factor Application

Your ongoing calibration dashboard. Updated weekly with new platform data, multiplied by your incrementality factors.

---

*From: The Google Ads Incrementality Testing Kit*
*I.M.P.A.C.T. Protocol: Identify, Map, Prepare, Activate, Calculate, Transform*


# Bonus 4: Brand Search Quick Test Protocol

**Format**: 7-Day Rapid Protocol
**Standalone Value**: $75

---

## Why Brand Search Is Your First Test

Every incrementality testing program should start here. Not because brand search is the most important channel. Because it's the easiest test to run, the fastest to produce results, and the findings immediately change how you read every other campaign in your account.

Brand search sits at the bottom of the funnel. Someone types your name into Google. They were already looking for you. The question isn't "does this campaign work?" The question is "would this person have found us anyway?"

Google says 89% of brand search clicks are incremental. Independent tests tell a very different story. eBay found 99.5% of their paid brand clicks were replaced by organic. The Feed found their $25K/month brand search investment delivered a 2% traffic lift - an incremental CPA of $950. P G cut brand search spend and saw no impact on business outcomes.

The I.M.P.A.C.T. Protocol's "Identify" stage puts brand search first for exactly this reason. It's the highest-confidence, lowest-risk starting point.

This protocol gives you a definitive answer in 7 days.

---

## Day 0: Baseline Setup

This is your preparation day. Don't skip any of these steps. A test without a clean baseline is just noise.

### Record Brand Search Metrics (Last 30 Days)

Pull these from Google Ads:

| Metric | Value | Where to Find |
|--------|-------|--------------|
| Brand campaign impressions | ___ | Google Ads   Campaigns   filter brand |
| Brand campaign clicks | ___ | Same |
| Brand campaign CTR | ___% | Same |
| Brand campaign conversions | ___ | Same |
| Brand campaign revenue | $___ | Same |
| Brand campaign spend | $___ | Same |
| Brand campaign ROAS | ___x | Revenue / Spend |
| Brand CPA | $___ | Spend / Conversions |

### Record Organic Metrics (Last 30 Days)

Pull these from Google Search Console (GSC) and GA4:

| Metric | Value | Where to Find |
|--------|-------|--------------|
| Organic brand impressions | ___ | GSC   Performance   filter brand keywords |
| Organic brand clicks | ___ | Same |
| Organic brand CTR | ___% | Same |
| Organic average position (brand terms) | ___ | Same |
| Organic conversions (brand entry) | ___ | GA4   Acquisition   filter organic, brand landing pages |
| Total site revenue (all channels) | $___ | Shopify / GA4 |
| Direct traffic sessions | ___ | GA4   Acquisition   Direct |
| Direct traffic conversions | ___ | Same |

### Set Up Monitoring Infrastructure

1. **GSC daily export**: Set a reminder to pull GSC brand data daily during the test. GSC data has a 2-3 day lag, so start now to have Day 0 baseline ready by Day 3.

2. **GA4 real-time bookmark**: Create a saved report in GA4 showing organic sessions, direct sessions, and conversions filtered to brand-related landing pages.

3. **Shopify revenue by day**: Bookmark your Shopify analytics page filtered to show daily revenue. You want total revenue regardless of source - this catches revenue that shifts between attribution channels.

4. **SERP monitoring**: Search your brand name on Google. Screenshot the SERP. Note:
   - How many organic results you have (position 1, sitelinks, etc.)
   - Are competitors bidding on your brand terms?
   - Are there Shopping ads for your brand?
   - Any knowledge panel, featured snippets, or People Also Ask?

### Check Competitor Brand Bidding

This is critical. If competitors are actively bidding on your brand terms, pausing your ads has a different risk profile.

**How to check**:
1. Google Ads   Auction Insights   filter to brand campaigns
2. Note which competitors appear and their impression share
3. Search your brand name in an incognito window - who's bidding?

| Competitor | Impression Share | Position Above Rate |
|------------|-----------------|---------------------|
| ___ | ___% | ___% |
| ___ | ___% | ___% |
| ___ | ___% | ___% |

**If competitors have  15% impression share on your brand terms**: The test is still valid, but your risk tolerance changes. Competitors may increase bids when they see your ads disappear. Factor this into your decision framework.

### Final Pre-Test Checklist

| Item | Status |
|------|--------|
| Brand campaign metrics recorded for last 30 days | __ |
| Organic/GSC metrics recorded for last 30 days | __ |
| Total site revenue baseline established | __ |
| Competitor brand bidding documented | __ |
| No major promotions planned for next 7 days | __ |
| No site redesign or migration planned | __ |
| Daily monitoring template ready | __ |
| Stakeholders briefed (if applicable) | __ |

---

## Day 1: Pause Brand Campaigns

### Execution Steps

1. **Pause all brand search campaigns** in Google Ads. Don't reduce bids - pause entirely. A partial reduction creates ambiguous data.

2. **If you run DSA campaigns**: Add brand terms as negative keywords to DSA. DSA will happily fill the gap your brand campaigns leave, which defeats the purpose of the test.

3. **If you run PMax**: PMax may pick up some brand search traffic. This is actually useful data - note any PMax impression or conversion changes during the test. But don't pause PMax (unless you're testing that separately).

4. **Document the exact time** you paused. "Paused brand campaigns at 9:14 AM EST on January 15, 2026." You'll need this for precise data segmentation.

5. **Verify suppression**: Search your brand name 1 hour after pausing. Your paid ad should be gone. If it's still showing, check for other campaigns that might be serving on brand terms (broad match keywords, DSA, PMax).

### What You're Measuring

The core question: when paid brand ads disappear, does organic absorb the traffic?

If organic absorbs 90%+ of brand clicks, your brand search is mostly non-incremental. You're paying for clicks that would have come free.

If organic only absorbs 50%, your brand search is partially incremental. There's a real cost to turning it off.

If organic absorbs less than 30%, your brand search is highly incremental - possibly because competitors are aggressive on your terms or your organic presence is weak.

---

## Days 1-7: Daily Monitoring Checklist

Run this checklist every morning. Takes 10-15 minutes once you've set up the bookmarks.

### Daily Data Collection

| Metric | Day 1 | Day 2 | Day 3 | Day 4 | Day 5 | Day 6 | Day 7 |
|--------|-------|-------|-------|-------|-------|-------|-------|
| Organic brand impressions (GSC) | ___ | ___ | ___ | ___ | ___ | ___ | ___ |
| Organic brand clicks (GSC) | ___ | ___ | ___ | ___ | ___ | ___ | ___ |
| Organic brand CTR (GSC) | ___ | ___ | ___ | ___ | ___ | ___ | ___ |
| Organic conversions (GA4) | ___ | ___ | ___ | ___ | ___ | ___ | ___ |
| Direct traffic sessions (GA4) | ___ | ___ | ___ | ___ | ___ | ___ | ___ |
| Direct traffic conversions (GA4) | ___ | ___ | ___ | ___ | ___ | ___ | ___ |
| Total site revenue (Shopify) | ___ | ___ | ___ | ___ | ___ | ___ | ___ |
| Total site conversions (Shopify) | ___ | ___ | ___ | ___ | ___ | ___ | ___ |
| Competitor SERP position (manual) | ___ | ___ | ___ | ___ | ___ | ___ | ___ |
| PMax impressions change (if running) | ___ | ___ | ___ | ___ | ___ | ___ | ___ |

### Daily Anomaly Checks

| Check | What to Look For | Action if Triggered |
|-------|-----------------|---------------------|
| Competitor surge | Competitor ads appearing in position 1 for your brand | Note it - factor into analysis, but don't reactivate yet |
| Organic crash | Organic clicks dropped  30% vs baseline daily average | Check for technical issues (site down, indexing problem) before attributing to test |
| Revenue cliff | Total revenue drops  40% vs baseline daily average | This is your kill switch - reactivate brand campaigns immediately |
| SERP changes | Google changed the SERP layout (new features, AI overview) | Document it - may affect results interpretation |
| PMax cannibalization | PMax impressions spike  20% | PMax is backfilling brand traffic - note for analysis |

### The Kill Switch

If total daily revenue drops more than 40% below baseline average for 2 consecutive days and you cannot attribute it to an external factor (website down, payment processing issue, major competitor promotion), reactivate brand campaigns. The test has given you a directional answer: brand search is contributing significantly.

In our experience running these tests across 50+ accounts, the kill switch has been triggered exactly twice. Both times, the brand had very weak organic presence (position 3-4 for their own name) and active competitor bidding. The vast majority of brands see minimal total revenue impact.

---

## Day 7: Analysis Protocol

### Step 1: Compute Organic Absorption Rate

```
Avg Daily Brand Clicks (pre-test, paid) = [30-day total / 30]
Avg Daily Brand Clicks (test period, organic increase) = [Test organic avg - Baseline organic avg]

Organic Absorption Rate = Organic Click Increase / Paid Click Decrease x 100
```

**Example**:
- Pre-test paid brand clicks: 150/day average
- Pre-test organic brand clicks: 200/day average
- Test period organic brand clicks: 320/day average
- Organic increase: 120 clicks/day
- Organic absorption rate: 120 / 150 = **80%**

This means organic absorbed 80% of the paid clicks. 20% were truly lost.

### Step 2: Compute Revenue Impact

```
Avg Daily Revenue (pre-test): $X
Avg Daily Revenue (test period): $Y
Revenue Change: $Y - $X = $Z
Revenue Change %: ($Z / $X) x 100
```

Important: use total site revenue, not just organic. Some "lost" paid clicks shift to direct traffic, email, or other channels that still convert.

### Step 3: Compute Incremental CPA

```
Monthly Brand Spend: $A
Monthly Incremental Conversions: B (total conversion loss extrapolated to 30 days)
Incremental CPA: $A / B
```

If your brand campaigns spend $25K/month and the test reveals 26 lost conversions over 7 days (= ~111/month), your incremental CPA is $25,000 / 111 = **$225**.

Compare this to your non-brand CPA. If non-brand CPA is $45, spending $225 per incremental brand conversion makes no sense. Reallocate to non-brand.

### Step 4: Factor in Non-Quantifiable Risks

Not everything shows up in a 7-day test:

- **Competitor brand bidding expansion**: Competitors may not react in 7 days. Over 30+ days, they might increase brand bidding once they notice you're gone.
- **Top-of-SERP real estate**: Even if organic absorbs the clicks, losing the top paid slot means competitors could take it.
- **Brand perception**: Seeing your paid ad at the top of search for your own name signals investment and legitimacy. Hard to quantify, but real for some audiences.

---

## Decision Framework

### Scenario A: Organic Absorbed 80%+ of Brand Traffic

**What happened**: You paused brand ads and almost all clicks shifted to organic. Total revenue barely moved.

**What it means**: Brand search is mostly non-incremental. You're paying for clicks you'd get for free.

**Recommendation**: Reduce brand search spend by 70-90%. Keep a small brand campaign active ($2-3K/month) for:
- Competitor defense (if they're actively bidding)
- SERP real estate protection on high-value brand + modifier terms ("brand name reviews", "brand name sale")
- Sitelink coverage (organic sitelinks may differ from paid)

**Expected savings**: If you were spending $25K/month and organic absorbs 85%, you can safely drop to $3-5K/month. That's $20-22K/month reallocated to incremental channels.

This is what The Feed discovered. $25K/month on brand search. 2% traffic lift when ads ran. Organic absorbed nearly everything. The incremental CPA was $950 per conversion. They reallocated to non-brand Shopping and saw immediate ROI improvement.

### Scenario B: Organic Absorbed 50-80% of Brand Traffic

**What happened**: Organic picked up a majority of brand clicks, but there was a noticeable revenue gap.

**What it means**: Brand search is partially incremental. There's a real cost to going dark, but the channel is overstated.

**Recommendation**: Reduce brand search spend by 40-60%. Strategies:
- Lower brand bids (you don't need position 1 if organic already holds it)
- Narrow match types to exact match only (eliminate broad brand variations that organic handles)
- Segment: keep brand + modifier terms ("brand name promo code"), reduce pure brand terms
- Set target impression share to 70-80% instead of 95%+

**Expected savings**: On $25K/month, reduce to $10-15K/month.

### Scenario C: Organic Absorbed Less Than 50% of Brand Traffic

**What happened**: Pausing brand ads caused a significant revenue decline. Organic did not compensate.

**What it means**: Brand search is genuinely incremental for your business. This typically happens when:
- Your organic brand ranking is weak (below position 1)
- Competitors are aggressively bidding on your brand terms
- Your industry has a cluttered SERP (ads, Shopping, knowledge panels push organic down)
- Your brand name is generic or shares terms with other entities

**Recommendation**: Keep brand search active. But optimize it:
- You now know the true incrementality factor. Apply it to reporting.
- If the test showed 40% organic absorption, your incrementality factor is 0.60x
- Optimize bids based on iROAS, not platform ROAS
- Monitor competitor brand bidding quarterly

### Reference Case Studies

**eBay** (1999-era brand, massive awareness): 99.5% organic replacement. Essentially zero incrementality for brand search. eBay's brand is so strong that organic dominated the SERP completely. Scenario A territory.

**The Feed** ($25K/month, niche DTC): 2% traffic lift. $950 incremental CPA. Organic absorbed almost everything. Reallocated to growth channels. Scenario A.

**Edmunds** (strong but not dominant brand): 50% organic replacement. Significant but not total substitution. Competitors were active on their terms. Scenario B.

The pattern is clear: the stronger your brand, the less incremental brand search becomes. eBay and Google are household names - organic absorbs everything. A mid-market DTC brand with moderate awareness falls somewhere in between. A brand-new startup with zero organic authority might genuinely need brand search.

---

## Risk Mitigation

### What to Watch For During the Test

| Risk | Likelihood | Impact | Mitigation |
|------|------------|--------|------------|
| Competitor brand bidding surge | Medium | Medium | Monitor daily; reactivate if competitors take position 1 AND revenue drops  20% |
| SERP layout change | Low | High | Document any changes; they may explain unexpected results |
| Google algorithm update | Low | High | Check SEO news daily during test; postpone analysis if major update hits |
| Site technical issue | Low | High | Verify site is functioning normally every morning before recording data |
| Seasonal spike/dip | Medium | Medium | Avoid running during known seasonal shifts; use same day-of-week comparisons |

### The "What If We Lose Brand Position" Concern

This is the objection we hear most. "If we pause brand ads, won't we lose our spot?"

No. Organic rankings are not affected by paid ads (Google has confirmed this, and independent testing supports it). Your organic position will not change because you paused paid brand campaigns. What changes is whether a paid ad appears ABOVE your organic listing.

In most cases, your organic listing simply moves up to the top of the page. The user clicks organic instead of paid. Same result, zero cost.

The exception: if a competitor buys your brand terms and takes the paid slot above your organic listing. That's worth monitoring but rarely causes significant revenue loss in a 7-day test.

---

## Post-Test: Applying Your Finding

Your brand search incrementality factor feeds directly into the I.M.P.A.C.T. Protocol's "Transform" stage. Here's how:

1. **Update your calibrated dashboard** (Bonus 3) with the brand search factor
2. **Reallocate saved budget** to the next test on your calendar (Bonus 5)
3. **Schedule a retest** for 2 quarters from now - brand dynamics change with competitive activity, seasonal patterns, and brand awareness growth
4. **Use the brand search factor to interpret PMax data** - if brand search is 85% non-incremental and PMax contains 40% brand traffic, you can estimate PMax brand component incrementality without running a separate PMax test

That last point saves you weeks. A $0 brand search test gives you data that partially answers the PMax question too.

---

*From: The Google Ads Incrementality Testing Kit*
*I.M.P.A.C.T. Protocol: Identify, Map, Prepare, Activate, Calculate, Transform*


# Bonus 5: Incrementality Testing Calendar

**Format**: Quarterly Planning Template
**Standalone Value**: $47

---

## Why You Need a Calendar

Running one incrementality test is interesting. Running a testing program is how you actually change your business.

Most brands run one test, get a result, apply the factor - and then never test again. Twelve months later they're still using a Q1 factor in Q4. Competitors changed. Algorithms updated. Seasonal patterns shifted the numbers. That factor expired 6 months ago, and they're making $50K/month allocation decisions based on stale data.

This calendar gives you a structured testing cadence that keeps your incrementality factors fresh and builds organizational knowledge over time. It's the "Transform" stage of the I.M.P.A.C.T. Protocol turned into a repeating system.

---

## Annual Testing Overview

| Quarter | Primary Test | Duration | Risk Level | Why This Quarter |
|---------|-------------|----------|------------|------------------|
| Q1 (Jan-Mar) | Brand Search Incrementality | 2-4 weeks | Low | Quietest period; lowest holdout risk; establishes baseline factor |
| Q2 (Apr-Jun) | PMax or Shopping vs. Search | 4-6 weeks | Medium | Pre-summer; stable traffic; enough volume for meaningful results |
| Q3 (Jul-Sep) | Retargeting Incrementality + Q1 Refresh | 2-3 weeks | Low | Lower stakes; validates Q1 factor still holds; cleans up retargeting waste |
| Q4 (Oct-Dec) | NO new tests (Oct only exception) | N/A | N/A | Peak season; use existing factors for budget allocation |

**Total annual testing investment**: 10-15 weeks of active testing. That leaves 37-42 weeks of normal operations using calibrated data.

---

## Q1: Brand Search Incrementality Test (January - March)

### Why Q1

January through March is typically your lowest-volume period. That makes it the safest time to suppress campaigns - the opportunity cost of holdout revenue is smallest. A brand spending $25K/month on brand search risks roughly $625 in holdout revenue during a 2-week January test. During November? That same holdout could cost $2,500+.

Q1 also follows the craziness of Q4. Your data is clean, promotions are over, and you have bandwidth to run a proper test.

### Recommended Protocol

Use the Brand Search Quick Test Protocol (Bonus 4) as your execution guide.

| Week | Activity |
|------|----------|
| Week 1-2 of January | Baseline data collection |
| Week 3 of January | Execute 7-day brand search pause test |
| Week 4 of January | Analysis and factor derivation |
| Early February | Apply factor to calibrated dashboard |
| February-March | Use factor for Q1 budget reallocation |

### Expected Outcome

You'll have your brand search incrementality factor. For most mid-market ecommerce brands, this ranges from 0.05 to 0.40 (meaning 60-95% of brand search revenue is non-incremental).

**Case in point**: We helped a DTC supplements brand run this exact Q1 test in 2025. They were spending $18K/month on brand search. The test revealed an incrementality factor of 0.12 - organic absorbed 88% of brand clicks. They cut brand spend to $3K/month (competitor defense only) and reallocated $15K/month to non-brand Shopping. Revenue increased 8% that quarter because the reallocated budget was actually driving new customers.

### Q1 Pseudo-Incrementality Checks

On weeks where you're not running an active test, run these monthly checks that don't require holdouts:

| Check | What to Monitor | Tool | Frequency |
|-------|----------------|------|-----------|
| Funnel Ratio | all_conversions_value / conversions_value | Google Ads | Monthly |
| Organic-Paid Overlap | Queries appearing in both GSC and Search Terms | GSC + Google Ads | Monthly |
| New Customer % | New vs returning split by campaign type | GA4 / Shopify | Monthly |
| Channel Mix Stability | Revenue share by channel (organic, paid, direct, email) | GA4 | Monthly |

These metrics won't give you a precise incrementality factor, but they'll flag when something shifts. If your funnel ratio suddenly changes from 1.3 to 1.8, something is happening to your assisted conversions. Worth investigating before the next formal test.

---

## Q2: PMax or Shopping vs. Search (April - June)

### Why Q2

Your Q1 brand search test established the baseline. Now you know how much of your brand search is non-incremental. Q2 is the time to test your biggest spend bucket.

For most ecommerce brands, that's PMax or Shopping. April through June gives you stable, growing traffic (post-winter, pre-summer) with enough volume for a statistically meaningful test.

### Option A: PMax Incrementality (Recommended for Brands Spending $20K+/Month on PMax)

This is the high-value test. PMax is a black box that blends brand, non-brand, Shopping, Display, and YouTube into one campaign. You need to know what's actually incremental.

| Week | Activity |
|------|----------|
| Weeks 1-2 of April | Baseline data collection for PMax geo-split |
| Weeks 3-6 of April/May | Execute 4-week geo-split test (15-20% holdout) |
| Weeks 7-8 of May | Lag buffer data collection |
| Week 9 of May/June | Analysis using Results Dashboard (Bonus 3) |
| June | Apply PMax incrementality factor to calibrated dashboard |

**What you're measuring**: Suppress PMax in test markets, keep it running in control markets. Compare total revenue, not just Google Ads revenue.

**Expected finding**: Based on Measured.com's data across 322 tests, median PMax iROAS is $2.02. If your platform shows $6.00 ROAS, the incrementality factor is roughly 0.33x. The Caraway case study found exactly this - 33% of PMax-reported revenue was incremental, 67% was credit-taking.

### Option B: Shopping vs. Search Comparison (For Brands Without PMax or With Separate Campaigns)

If you run separate Shopping and Search campaigns (not consolidated into PMax), Q2 is a good time to test which channel is more incremental.

| Week | Activity |
|------|----------|
| Weeks 1-2 | Baseline: Shopping and Search running normally in all markets |
| Weeks 3-6 | Suppress Shopping in Group A markets, suppress Search in Group B markets |
| Weeks 7-8 | Lag buffer |
| Week 9 | Compare: which channel showed higher incremental contribution? |

**Why this comparison matters**: Non-brand Shopping is typically 60-90% incremental (people are actively looking at products). Non-brand Search is typically 40-80% incremental. If Shopping is significantly more incremental, that changes your budget split.

---

## Q3: Retargeting Incrementality + Q1 Refresh (July - September)

### Why Q3

Summer is a natural testing window. Volume is moderate (not peak, not trough), and the campaigns you're testing - retargeting - have lower strategic importance than your core acquisition channels. If retargeting turns out to be non-incremental, you haven't risked your primary growth engine.

Q3 also includes a refresh of your Q1 brand search test. Six months is the maximum useful life of an incrementality factor before seasonal and competitive changes start to degrade its accuracy.

### Retargeting Incrementality Test (July-August)

| Week | Activity |
|------|----------|
| Weeks 1-2 of July | Baseline data collection for retargeting holdout |
| Weeks 3-5 of July/August | Execute 2-3 week holdout (suppress retargeting in test markets) |
| Week 6 of August | Analysis: how much retargeting revenue is incremental? |

**What you're testing**: When someone visits your site and doesn't buy, then sees a retargeting ad and buys - was it the ad or were they coming back anyway?

**Expected finding**: Retargeting typically shows 10-40% incrementality. Meaning 60-90% of retargeting "conversions" would have happened without the ad. This is consistent with what we see in audits - retargeting ROAS looks amazing (8-12x is common) precisely because it's claiming conversions from people who were already going to buy.

A brand spending $8K/month on retargeting with a 0.25 incrementality factor is getting $2K/month in truly incremental revenue. That's a very different picture than the $96K the dashboard claims.

### Q1 Brand Search Factor Refresh (September)

| Week | Activity |
|------|----------|
| Week 1 of September | Quick 7-day brand search pause test (same protocol as Q1) |
| Week 2 of September | Compare new factor to Q1 factor |

**What you're looking for**: Has the brand search incrementality factor changed? Common shifts:

- **Factor increased** (brand search more incremental): Possible causes include new competitors bidding on your terms, organic ranking changes, SERP layout updates
- **Factor decreased** (brand search less incremental): Possible causes include improved organic authority, competitors stopped bidding, brand awareness growth from Q1-Q2 marketing
- **Factor unchanged**: Your Q1 factor is holding. Good news - you can trust it through Q4.

---

## Q4: No New Tests - Apply and Optimize (October - December)

### Why No Testing in Peak Season

This isn't a suggestion. It's a rule.

November and December represent 25-40% of annual revenue for most ecommerce brands. Suppressing campaigns in any market during this period creates unacceptable opportunity cost. Every dollar of holdout revenue during Black Friday is 3-5x more expensive than a holdout dollar in January.

The one exception: a brief non-brand test in October, before peak season begins.

### October Exception: Quick Non-Brand Test

If you haven't tested non-brand campaigns yet, early October is your last window before the freeze.

| Week | Activity |
|------|----------|
| Week 1 of October | Baseline collection |
| Weeks 2-3 of October | Brief 2-week non-brand holdout |
| Week 4 of October | Analysis (expedited - you need results before November planning) |

**Constraint**: This test ends no later than October 25. November 1 begins your testing blackout.

### November-December: Factor Application Mode

Use your existing incrementality factors for all Q4 budget decisions:

| Decision | Which Factor to Use | Application |
|----------|-------------------|-------------|
| Brand search budget | Q3 refresh factor (or Q1 if refresh wasn't done) | Cap brand spend; reallocate to prospecting |
| PMax budget allocation | Q2 factor | Multiply platform ROAS by factor; scale only if iROAS meets target |
| Retargeting budget | Q3 factor | Set ceiling based on incremental value; excess goes to acquisition |
| Non-brand Shopping/Search | Q2 factor (or October test) | Usually highest incrementality; prioritize budget here |
| Overall Q4 budget | Weighted average of all factors | Present calibrated projections to leadership |

---

## Monthly Pseudo-Incrementality Cadence

These checks take 30-60 minutes per month. They don't require holdouts or campaign suppression. They're your early warning system between formal tests.

### Monthly Check 1: Funnel Ratio Monitoring

```
Funnel Ratio = all_conversions_value / conversions_value
```

Pull this from Google Ads at the campaign type level. Track it monthly.

| Month | Brand Search | PMax | Shopping | Non-Brand Search | Retargeting |
|-------|-------------|------|----------|-----------------|-------------|
| Jan | ___ | ___ | ___ | ___ | ___ |
| Feb | ___ | ___ | ___ | ___ | ___ |
| Mar | ___ | ___ | ___ | ___ | ___ |
| ... | ... | ... | ... | ... | ... |

A ratio that's been stable at 1.3 for 6 months and suddenly jumps to 1.8 means something changed in how conversions are being attributed. Investigate before the next formal test.

### Monthly Check 2: Organic-Paid Overlap

Pull your top 20 converting search terms from Google Ads. Cross-reference with GSC to see how many also appear in organic. High overlap = higher cannibalization risk.

### Monthly Check 3: New Customer Rate by Channel

If your ROAS is improving but new customer rate is declining, you're optimizing for existing customers at the expense of growth. This is the efficiency trap that cost one DTC brand dearly - ROAS improved 40% YoY while new customer acquisition dropped 30%, and revenue growth decelerated from 45% to 11%.

---

## Stakeholder Communication Template

### Quarterly Update Format

Send this to leadership after each test cycle.

```
QUARTERLY INCREMENTALITY UPDATE
[Quarter] [Year]

TESTS COMPLETED THIS QUARTER
- [Test name]: [One-line finding]
- [Test name]: [One-line finding]

CURRENT INCREMENTALITY FACTORS
| Channel | Factor | Confidence | Last Tested | Next Test |
|---------|--------|------------|-------------|-----------|
| Brand Search | 0.15x | Green | Q3 2026 | Q1 2027 |
| PMax | 0.33x | Green | Q2 2026 | Q2 2027 |
| Non-Brand Shopping | 0.80x | Yellow | Q2 2026 | Q4 2026 |
| Retargeting | 0.25x | Green | Q3 2026 | Q3 2027 |

BUDGET IMPACT
- Total monthly spend: $[X]
- Estimated incremental revenue: $[Y] (vs $[Z] platform-reported)
- Reallocation opportunity: $[A]/month from low-incrementality to high
- Projected annual savings from reallocation: $[B]

NEXT QUARTER PLAN
- Test 1: [Description, timeline]
- Monthly checks: [Standard cadence]
- Factor refreshes needed: [Any factors  6 months old]
```

---

## Annual Planning Section

### Budget for Testing

Allocate 5-10% of your monthly ad spend as your "testing budget." This isn't extra spend - it's the opportunity cost of holdout revenue during test periods.

| Monthly Ad Spend | Testing Budget (7%) | Annual Testing Budget |
|-----------------|---------------------|----------------------|
| $10,000 | $700/month | $8,400/year |
| $25,000 | $1,750/month | $21,000/year |
| $50,000 | $3,500/month | $42,000/year |
| $100,000 | $7,000/month | $84,000/year |

**Perspective**: A brand spending $50K/month invests roughly $42K/year in testing (opportunity cost of holdouts). If testing reveals even 15% of spend is non-incremental, the reallocation saves $90K/year. That's a 2.1x return on the testing program itself.

In our experience, the average ecommerce brand discovers 20-35% of their Google Ads spend is non-incremental. On $50K/month, that's $10-17.5K/month in reallocation opportunity. The annual testing investment pays for itself within 3-4 months.

### The Compounding Effect

Year 1: You discover incrementality factors for brand search, PMax, and retargeting. You reallocate budget and see 10-20% more efficient growth.

Year 2: You have a full year of factor data. You can compare Q1-to-Q1, Q2-to-Q2. You understand seasonal shifts. Your budget allocation is calibrated, not guessed.

Year 3: Incrementality testing is embedded in your quarterly planning process. New channels get tested before scaling. Old factors get refreshed automatically. You're no longer wondering if your ads work - you know exactly which ones do.

---

## Incrementality Factor Expiration Rules

This is the part most people miss. Factors expire.

| Factor Age | Status | Action |
|------------|--------|--------|
| 0-3 months | Fresh | Use with confidence |
| 3-6 months | Valid | Use, but note declining reliability |
| 6-9 months | Stale | Schedule a retest within 30 days |
| 9-12 months | Expired | Do not use for major decisions; retest immediately |
| 12+ months | Invalid | Treat as if you have no factor |

### What Makes Factors Expire Faster

- **Major algorithm update**: Google rolls out a significant targeting or bidding change
- **Competitive shift**: A new competitor enters your market or an existing one changes strategy
- **Campaign restructuring**: You've significantly changed your campaign setup since the last test
- **Brand awareness shift**: You ran a major brand campaign that changed your organic traffic profile
- **Seasonal transition**: A factor derived in Q1 may not hold in Q4 (different search behavior, different competitive landscape, different promotional environment)

We've seen a factor shift from 0.35 to 0.52 in a single quarter after a competitor pulled out of brand bidding. That's a 48% change in the incrementality factor. If you'd kept using the old factor, you'd have been undervaluing your brand search campaigns by $8K/month.

Test early. Test regularly. Trust the calendar.

---

*From: The Google Ads Incrementality Testing Kit*
*I.M.P.A.C.T. Protocol: Identify, Map, Prepare, Activate, Calculate, Transform*


# RSA Headline Scoring Rubric

**Purpose**: Score every headline candidate before including it in an RSA. Threshold: 70/100.

---

## The 6-Criteria Rubric

### Criteria 1: 3-Rule Filter (30 points) - BINARY

All 3 must pass. If ANY rule fails, this criteria scores 0.

| Rule | Question | Pass | Fail |
|------|----------|------|------|
| **Visualizable** | Can the reader picture it in  0.5 seconds? | Instant mental image | Abstract concept |
| **Falsifiable** | Can someone prove this claim true or false? | Specific, verifiable | Subjective, vague |
| **Unique** | Swap in a competitor's name - does it still work? | Only YOUR brand | Generic, anyone |

**Score**: 30/30 if ALL pass, 0/30 if ANY fail

---

### Criteria 2: Keyword Relevance (20 points)

| Score | Description |
|-------|-------------|
| 18-20 | Contains exact cluster theme words, matches commercial search intent |
| 14-17 | Contains theme-adjacent words, implied intent match |
| 10-13 | Loosely related to cluster, weak intent alignment |
| 0-9 | Off-topic or irrelevant to cluster |

---

### Criteria 3: Clarity (15 points)

| Score | Description |
|-------|-------------|
| 13-15 | Understood in under 2 seconds, zero jargon, crystal clear |
| 10-12 | Clear with minor ambiguity or 1 industry term |
| 7-9 | Requires re-reading or contains jargon |
| 0-6 | Confusing, unclear, or requires context to understand |

---

### Criteria 4: Proofability (15 points)

| Score | Description |
|-------|-------------|
| 13-15 | Backed by specific data on the landing page (price, rating, feature spec) |
| 10-12 | Supported by general product/page information |
| 7-9 | Implied by page content but not explicitly stated |
| 0-6 | Unsubstantiated claim or fabricated detail |

---

### Criteria 5: Uniqueness (10 points)

| Score | Description |
|-------|-------------|
| 9-10 | Only works for THIS product on THIS landing page |
| 6-8 | Specific to this product category but not this exact product |
| 3-5 | Could work for several products in the vertical |
| 0-2 | Generic - works for any business |

---

### Criteria 6: CTR Potential (10 points)

| Score | Description |
|-------|-------------|
| 9-10 | Scroll-stopper. Emotional pull. Would click it myself. |
| 6-8 | Compelling. Clear reason to click. Above average. |
| 3-5 | Functional but not exciting. Standard quality. |
| 0-2 | Boring, generic, no reason to click over alternatives. |

---

## Scoring Template

| # | Headline | 3-Rule (30) | Keyword (20) | Clarity (15) | Proof (15) | Unique (10) | CTR (10) | Total | Pass? |
|---|----------|-------------|--------------|-------------|------------|-------------|----------|-------|-------|
| 1 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| 2 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| 3 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| ... | | | | | | | | | |
| 25 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |

**Select top 15 with scores ≥ 70. If fewer than 15 qualify, generate 10 more candidates using different headline types.**

---

## Quick Reference: Common Score Patterns

| Headline | Likely Score | Why |
|----------|-------------|-----|
| "Buy Premium Products Now" | 5-15 | Fails all 3 rules (0/30 on filter) |
| "Ceramic Coating - Buy Online" | 40-55 | Passes filter but low uniqueness and CTR |
| "2-Year Paint Protection - $89" | 75-90 | Passes filter, specific, provable, unique |
| "10,000+ Cars Protected Since 2019" | 80-95 | Passes filter, social proof, unique, high CTR |

---

---

## Worked Example

**Business**: DTC ceramic car coating brand. Cluster theme: "paint protection." Scoring 5 headline candidates.

| # | Headline | 3-Rule (30) | Keyword (20) | Clarity (15) | Proof (15) | Unique (10) | CTR (10) | Total | Pass? |
|---|----------|-------------|--------------|-------------|------------|-------------|----------|-------|-------|
| 1 | "2-Year Paint Protection - $89" | 30 | 19 | 14 | 14 | 9 | 8 | **94** | YES |
| 2 | "10,000+ Cars Protected Since 2019" | 30 | 16 | 14 | 13 | 10 | 9 | **92** | YES |
| 3 | "Outlasts Wax by 10x" | 30 | 15 | 15 | 12 | 8 | 8 | **88** | YES |
| 4 | "Professional Grade Coating" | 0 | 14 | 12 | 7 | 3 | 4 | **40** | NO |
| 5 | "Buy Premium Products Now" | 0 | 8 | 10 | 3 | 0 | 2 | **23** | NO |

### Scoring Walkthrough: Headline #1 ("2-Year Paint Protection - $89")

**3-Rule Filter (30/30)**:
- Visualizable: "2 years" and "$89" create instant mental image - PASS
- Falsifiable: "2-year protection" and "$89" are both verifiable claims - PASS
- Unique: Only this brand offers 2-year protection at $89 - PASS
- Score: All 3 pass = **30/30**

**Keyword Relevance (19/20)**: Contains "paint protection" (exact cluster theme). Strong commercial intent match. Missing only the word "ceramic" for a perfect score.

**Clarity (14/15)**: Understood instantly. "2 years" + "paint protection" + "$89" = no ambiguity. Minor: a non-car-owner might not know what "paint protection" means (1 point deduction for domain-specific term).

**Proofability (14/15)**: $89 price is provable on the landing page. "2-year" duration is backed by warranty details. Only missing explicit test data for "protection" claim.

**Uniqueness (9/10)**: This specific combination (2-year + $89) is unique to this product. A competitor could say "2-year protection" but not at this price point.

**CTR Potential (8/10)**: Strong - price + timeframe creates clear value proposition. Would click. Not a 10 because it doesn't create emotional pull or curiosity.

### Scoring Walkthrough: Headline #4 ("Professional Grade Coating")

**3-Rule Filter (0/30)**:
- Visualizable: "Professional grade" - what does it look like? Abstract. FAIL
- Falsifiable: "Professional grade" cannot be proven or disproven. FAIL
- Unique: Any coating brand could say this. FAIL
- Score: All 3 fail = **0/30** (auto-zeroed because ANY failure = 0)

This headline scores 40 total despite decent keyword relevance because the 3-Rule Filter is binary. One failure zeros the entire 30-point criteria.

---

## Your Turn

Write 20-25 headline candidates for your primary cluster. Score each one. Select the top 15 with scores at 70 or above.

If fewer than 15 qualify, generate 10 more candidates focusing on headline types you haven't tried yet (e.g., if all your headlines are benefit statements, try social proof headlines or question headlines).

---

## Interpretation Guide

| Pattern | What It Means | Action |
|---------|--------------|--------|
| Most headlines score 0 on 3-Rule Filter | You're writing marketing-speak, not headlines | Start every headline with a number, timeframe, or price |
| High 3-Rule scores but low CTR | Headlines are specific but boring | Add emotional tension or an unexpected comparison |
| High CTR but low Proofability | Headlines are exciting but unsubstantiated | Ground each claim in a specific data point from your landing page |
| All headlines use the same structure | You'll saturate one RSA slot but waste the others | Mix formats: 3 benefit, 3 social proof, 3 feature-specific, 3 offer/price, 3 question |
| Average score 50-69 | Good foundations but not shipping quality yet | Focus on the weakest criteria per headline and revise |

**Last Updated**: 2026-02-18


# 26-Column CSV Format for Google Ads Bulk Upload

**Purpose**: Reference for the exact CSV structure Google Ads Editor expects for RSA bulk upload.

---

## Column Specification

| Column # | Header | Max Length | Notes |
|----------|--------|-----------|-------|
| 1 | Campaign | - | Format: `Search - {MARKET} - {landing-page-slug}` |
| 2 | Ad group | - | Format: `{angle_name}` or `{angle_name} - {cluster_theme}` |
| 3 | RSA Name | - | Format: `RSA_{Angle}_{Number}` (e.g., RSA_Protection_1) |
| 4 | Final URL | - | Full landing page URL |
| 5 | Headline 1 | 30 chars | **MUST be DKI**: `{KeyWord:Fallback}` (fallback ≤ 21 chars) |
| 6 | Headline 2 | 30 chars | Must contain cluster theme words |
| 7 | Headline 3 | 30 chars | Must contain cluster theme words |
| 8 | Headline 4 | 30 chars | Must contain cluster theme words |
| 9 | Headline 5 | 30 chars | Must contain cluster theme words |
| 10 | Headline 6 | 30 chars | Strategic mix of headline types |
| 11 | Headline 7 | 30 chars | Strategic mix of headline types |
| 12 | Headline 8 | 30 chars | Strategic mix of headline types |
| 13 | Headline 9 | 30 chars | Strategic mix of headline types |
| 14 | Headline 10 | 30 chars | Strategic mix of headline types |
| 15 | Headline 11 | 30 chars | Strategic mix of headline types |
| 16 | Headline 12 | 30 chars | Strategic mix of headline types |
| 17 | Headline 13 | 30 chars | Strategic mix of headline types |
| 18 | Headline 14 | 30 chars | Strategic mix of headline types |
| 19 | Headline 15 | 30 chars | Strategic mix of headline types |
| 20 | Description 1 | 90 chars | Primary benefit + CTA |
| 21 | Description 2 | 90 chars | Social proof / trust signals |
| 22 | Description 3 | 90 chars | Unique differentiator |
| 23 | Description 4 | 90 chars | Urgency / offer (if applicable) |
| 24 | Path 1 | 15 chars | URL display path segment 1 |
| 25 | Path 2 | 15 chars | URL display path segment 2 |
| 26 | Ad status | - | `Enabled` or `Paused` |

---

## DKI Headline 1 Format

```
{KeyWord:Fallback Text}
```

- `{KeyWord:}` consumes 9 characters
- Fallback must be ≤ 21 characters (30 - 9)
- Fallback = cluster centroid keyword, Title Cased
- When Google can insert the search query, it replaces the fallback
- When it can't (query too long), the fallback displays

**Valid examples**:
```
{KeyWord:Ceramic Coating}         14 chars fallback ✓
{KeyWord:Best Car Protection}     19 chars fallback ✓
{KeyWord:Premium Auto Detailing}  24 chars fallback ✗ TOO LONG
```

---

## Example Row

```csv
Campaign,Ad group,RSA Name,Final URL,Headline 1,Headline 2,Headline 3,Headline 4,Headline 5,Headline 6,Headline 7,Headline 8,Headline 9,Headline 10,Headline 11,Headline 12,Headline 13,Headline 14,Headline 15,Description 1,Description 2,Description 3,Description 4,Path 1,Path 2,Ad status
Search - US-en - ceramic-coating,Paint Protection - Core,RSA_Protection_1,https://example.com/ceramic-coating,{KeyWord:Ceramic Coating},2-Year Paint Protection,Shield Your Car's Finish,Scratch-Proof Your Paint,Professional Grade Coating,10000+ Cars Protected,Rated 4.9 by Detailers,Outlasts Wax by 10x,Apply in Under 30 Min,No More Monthly Waxing,$89 Complete Kit,Hydrophobic Technology,UV   Chemical Resistant,Works on All Paint Types,See Before   After Pics,Professional ceramic coating that protects your paint for 2+ years. Order today with free shipping.,Rated 4.9/5 by 3200+ car enthusiasts. See why professional detailers trust our ceramic formula.,Graphene-infused formula outlasts traditional wax by 10x. One 30-minute application - no experience needed.,Save $200/year vs monthly waxing. Limited time: 15% off starter kits with code PROTECT.,Ceramic,Coating,Enabled
```

---

## Validation Checklist

Before uploading, verify:

- [ ] Exactly 26 columns per row (no more, no less)
- [ ] Headline 1 uses DKI format: `{KeyWord:...}`
- [ ] DKI fallback ≤ 21 characters
- [ ] All headlines ≤ 30 characters
- [ ] All descriptions ≤ 90 characters
- [ ] All paths ≤ 15 characters
- [ ] No duplicate headlines within the same cluster (across all 3 RSAs = 45 unique)
- [ ] No duplicate descriptions within the same cluster (12 unique)
- [ ] Ad status is "Enabled" or "Paused"
- [ ] Final URL is valid and matches the landing page
- [ ] No special characters that break CSV parsing (commas in values must be quoted)

---

---

## Worked Example

**Business**: DTC ceramic coating brand. Building one RSA for the "paint protection" cluster.

### Completed 26-Column Row

| Column | Value | Chars |
|--------|-------|-------|
| 1. Campaign | Search - US-en - ceramic-coating | - |
| 2. Ad group | Paint Protection - Core | - |
| 3. RSA Name | RSA_Protection_1 | - |
| 4. Final URL | https://example.com/ceramic-coating | - |
| 5. Headline 1 | {KeyWord:Ceramic Coating} | 14 ch fallback |
| 6. Headline 2 | 2-Year Paint Protection | 23 |
| 7. Headline 3 | Shield Your Car's Finish | 24 |
| 8. Headline 4 | $89 Complete Coating Kit | 24 |
| 9. Headline 5 | Outlasts Wax by 10x | 19 |
| 10. Headline 6 | 10,000+ Cars Protected | 22 |
| 11. Headline 7 | Rated 4.9 by 3,200 Users | 25 |
| 12. Headline 8 | Apply in Under 30 Min | 21 |
| 13. Headline 9 | UV   Chemical Resistant | 23 |
| 14. Headline 10 | Free Shipping - Ships Today | 27 |
| 15-19. Headlines 11-15 | (empty - using 10 headlines) | - |
| 20. Description 1 | Professional ceramic coating that protects your paint for 2+ years. Order today with free shipping. | 89 |
| 21. Description 2 | Rated 4.9/5 by 3200+ car enthusiasts. See why professional detailers trust our ceramic formula. | 88 |
| 22. Description 3 | Graphene-infused formula outlasts traditional wax by 10x. One 30-minute application. | 78 |
| 23. Description 4 | Save $200/year vs monthly waxing. 2-year protection guaranteed or your money back. | 79 |
| 24. Path 1 | Ceramic | 7 |
| 25. Path 2 | Coating | 7 |
| 26. Ad Status | Enabled | - |

### Validation Checklist (Completed)

- [x] Exactly 26 columns
- [x] Headline 1 uses DKI: `{KeyWord:Ceramic Coating}` (14-char fallback, under 21 limit)
- [x] All headlines under 30 characters (longest: "Free Shipping - Ships Today" at 27)
- [x] All descriptions under 90 characters (longest: 89 chars)
- [x] Both paths under 15 characters
- [x] No duplicate headlines within this RSA
- [x] Ad status is "Enabled"
- [x] Final URL is valid

### Headline Mix Analysis

| Headline Type | Headlines | Count |
|---------------|----------|-------|
| DKI/Keyword | #1 | 1 |
| Benefit | #2, #3, #9 | 3 |
| Price/Offer | #4, #10 | 2 |
| Social Proof | #6, #7 | 2 |
| Mechanism/Feature | #5, #8 | 2 |

Good mix: no single type dominates. Google has options to combine benefit + proof, or offer + mechanism, depending on the query.

---

## Your Turn

Fill in one RSA per ad group using all 26 columns. Start with your highest-priority cluster.

1. Set Headline 1 as DKI with a fallback under 21 characters
2. Write 9-14 more headlines (mix of benefit, proof, offer, and mechanism types)
3. Write 4 descriptions (benefit, proof, differentiator, CTA/offer)
4. Set Path 1 and Path 2 to match the landing page topic
5. Run the validation checklist before exporting

---

## Interpretation Guide

| Issue | What It Means | Fix |
|-------|--------------|-----|
| DKI fallback exceeds 21 chars | Headline 1 will break on upload | Shorten the fallback text (it's the keyword minus "{KeyWord:}" overhead) |
| All headlines are the same type | Google can't create diverse ad combinations | Mix at least 3 headline types per RSA |
| Descriptions repeat headline claims | Wasting description space on redundant content | Descriptions should expand on claims, not repeat them |
| Ad disapproved after upload | Policy violation in copy | Check for trademark terms, unsubstantiated superlatives, or misleading claims |
| Low ad strength after upload | Too few headlines or headlines are too similar | Add more diverse headlines (Google wants 15 for "Excellent" ad strength, but 10 well-crafted   15 weak) |

**Last Updated**: 2026-02-18


# Keyword Scoring Worksheet

**Purpose**: Score and filter keywords for inclusion in your angle clusters.

---

## The Scoring Formula

```
Score = (Volume × 0.4) + (Relevance × 0.3) + (1/Difficulty × 0.2) + (CPC × 0.1)
```

### Normalize Before Scoring

Each component should be normalized to a 0-100 scale:
- **Volume**: (keyword_volume / max_volume_in_set) × 100
- **Relevance**: Manual score 0-100 (how relevant is this keyword to your product/angle?)
- **Difficulty**: (1 - keyword_difficulty/100) × 100 (invert so easier = higher)
- **CPC**: (keyword_cpc / max_cpc_in_set) × 100

---

## Volume Tier Thresholds

| Tier | Monthly Volume | Action |
|------|---------------|--------|
| HIGH | ≥ 500 | Include and prioritize for headlines |
| MEDIUM | ≥ 100 | Include |
| LOW | 50-99 | Include cautiously, monitor |
| REJECT |   50 | Exclude from targeting |

---

## Match Type Decision

| Condition | Match Type | Format |
|-----------|-----------|--------|
| SV ≥ 1000 AND commercial intent AND CPC ≥ $0.50 | Exact | `[keyword]` |
| Everything else | Phrase | `"keyword"` |
| Never | Broad | N/A |

---

## Worked Example: Vitamin C Serum Campaign

**Product**: SkinGlow Vitamin C Serum | **Max volume in set**: 12,100 | **Max CPC in set**: $4.20

| # | Keyword | Volume | Norm Vol | Relevance | Difficulty | Norm Diff | CPC | Norm CPC | Score | Tier | Match | Angle |
|---|---------|--------|----------|-----------|------------|-----------|-----|----------|-------|------|-------|-------|
| 1 | vitamin c serum | 12,100 | 100 | 95 | 72 | 28 | $3.80 | 90 | **83** | HIGH | Exact | Product |
| 2 | best vitamin c serum for dark spots | 2,400 | 20 | 100 | 58 | 42 | $4.20 | 100 | **57** | HIGH | Exact | Problem |
| 3 | buy vitamin c serum online | 880 | 7 | 90 | 35 | 65 | $3.50 | 83 | **50** | HIGH | Exact | Purchase |
| 4 | vitamin c serum for hyperpigmentation | 1,600 | 13 | 95 | 62 | 38 | $3.90 | 93 | **53** | HIGH | Exact | Problem |
| 5 | affordable vitamin c serum | 390 | 3 | 85 | 28 | 72 | $2.40 | 57 | **47** | MEDIUM | Phrase | Price |
| 6 | vitamin c serum results | 720 | 6 | 80 | 45 | 55 | $2.10 | 50 | **44** | HIGH | Phrase | Proof |
| 7 | how to use vitamin c serum | 5,400 | 45 | 40 | 30 | 70 | $0.80 | 19 | **44** | REJECT | - | Info |
| 8 | vitamin c serum with hyaluronic acid | 1,900 | 16 | 90 | 55 | 45 | $3.60 | 86 | **54** | HIGH | Exact | Ingredient |
| 9 | dark spot corrector serum | 3,200 | 26 | 85 | 68 | 32 | $3.40 | 81 | **51** | HIGH | Exact | Problem |
| 10 | vitamin c face serum 20 percent | 480 | 4 | 95 | 22 | 78 | $4.10 | 98 | **54** | MEDIUM | Exact | Product |

**Scoring walkthrough for #1 "vitamin c serum":**
- Norm Volume: (12,100 / 12,100) x 100 = 100 -  x 0.4 = **40.0**
- Relevance: 95 -  x 0.3 = **28.5**
- Norm Difficulty: (1 - 72/100) x 100 = 28 -  x 0.2 = **5.6**
- Norm CPC: (3.80 / 4.20) x 100 = 90 -  x 0.1 = **9.0**
- Total: 40.0 + 28.5 + 5.6 + 9.0 = **83.1**

**Why #7 is rejected**: "how to use vitamin c serum" has high volume (5,400) but Relevance is only 40 (informational intent, not commercial). Even with strong volume, the low relevance score drags total below threshold. Intent classification: INFORMATIONAL with Relevance   70 = Reject.

---

## Your Turn

**Product**: _______________ | **Max volume in set**: _______________ | **Max CPC in set**: $_______________

| # | Keyword | Volume | Norm Vol | Relevance | Difficulty | Norm Diff | CPC | Norm CPC | Score | Tier | Match | Angle |
|---|---------|--------|----------|-----------|------------|-----------|-----|----------|-------|------|-------|-------|
| 1 | _(highest volume keyword)_ | | | | | | | | | | | |
| 2 | | | | | | | | | | | | |
| 3 | | | | | | | | | | | | |
| 4 | | | | | | | | | | | | |
| 5 | | | | | | | | | | | | |
| 6 | | | | | | | | | | | | |
| 7 | | | | | | | | | | | | |
| 8 | | | | | | | | | | | | |
| 9 | | | | | | | | | | | | |
| 10 | | | | | | | | | | | | |
| 11 | | | | | | | | | | | | |
| 12 | | | | | | | | | | | | |
| 13 | | | | | | | | | | | | |
| 14 | | | | | | | | | | | | |
| 15 | | | | | | | | | | | | |

**Normalization reminders**:
- Norm Volume = (keyword volume / max volume in set) x 100
- Norm Difficulty = (1 - difficulty / 100) x 100 (inverted: easier = higher)
- Norm CPC = (keyword CPC / max CPC in set) x 100
- Score = (Norm Vol x 0.4) + (Relevance x 0.3) + (Norm Diff x 0.2) + (Norm CPC x 0.1)

---

## Interpretation Guide

| Score | Rating | Action |
|-------|--------|--------|
| 70+ | Top Priority | Include in primary ad groups. Use in headlines. |
| 50-69 | Solid | Include in campaigns. Good for descriptions and landing pages. |
| 35-49 | Marginal | Include cautiously. Monitor performance closely. |
| Below 35 | Reject | Exclude. Not worth the budget allocation. |

---

## Export to Google Sheets

| Column | Header | Formula (row 2) |
|--------|--------|-----------------|
| A | Keyword | (manual) |
| B | Volume | (manual - from keyword tool) |
| C | Norm Vol | `=B2/MAX(B$2:B$100)*100` |
| D | Relevance | (manual - your judgment 0-100) |
| E | Difficulty | (manual - from keyword tool) |
| F | Norm Diff | `=(1-E2/100)*100` |
| G | CPC | (manual - from keyword tool) |
| H | Norm CPC | `=G2/MAX(G$2:G$100)*100` |
| I | Score | `=(C2*0.4)+(D2*0.3)+(F2*0.2)+(H2*0.1)` |
| J | Tier | `=IF(B2 =500,"HIGH",IF(B2 =100,"MEDIUM",IF(B2 =50,"LOW","REJECT")))` |
| K | Match Type | `=IF(AND(B2 =1000,D2 =70,G2 =0.5),"Exact","Phrase")` |
| L | Angle | (manual) |

**Conditional formatting**:
- Column I: Green  = 70, Yellow 50-69, Orange 35-49, Red   35
- Column J: Green = HIGH, Yellow = MEDIUM, Orange = LOW, Red = REJECT

---

## Angle Assignment Rules

1. Each keyword goes to ONE primary angle
2. Maximum 10% keyword overlap between angles
3. Minimum 15 keywords per angle
4. Maximum 50 keywords per angle
5. Each angle has 2-5 semantic clusters
6. Minimum 3 keywords per cluster

### Affinity Scoring for Assignment

| Signal | Score |
|--------|-------|
| Keyword contains cluster primary keyword | +50 |
| Keyword matches cluster's keyword themes | +30 |
| Keyword matches cluster's product types | +20 |

Assign keyword to highest-affinity angle. If two angles tie, choose the one with fewer keywords.

---

## Commercial Intent Classification

| Intent | Score Range | Action |
|--------|------------|--------|
| COMMERCIAL | ≥ 70 | Include, prioritize |
| HYBRID | 45-69 | Include with monitoring |
| INFORMATIONAL |   45 | Reject if relevance   70 |

### Intent Signals

**Commercial (+)**: buy, shop, price, deal, order, cost, sale, cheap, best, top
**Informational (-)**: how to, guide, review, vs, comparison, what is, why, tutorial

---

**Last Updated**: 2026-02-18


# BONUS: 50 RSA Headline Templates by Industry

**Value**: $97 standalone
**Purpose**: Pre-scored headline formulas organized by industry vertical. Fill in your specifics and score ≥70 on the rubric every time.

---

## How to Use These Templates

1. Find your industry vertical below
2. Pick headline formulas that match your angle cluster
3. Replace `{BRACKETED}` placeholders with your specifics
4. Score against the 6-Criteria Rubric (included in main Blueprint)
5. Only use headlines scoring ≥70

**Each template includes:**
- Headline type classification
- 3-Rule Filter priority (which rule it anchors on)
- Character count guidance
- Fill-in structure

---

## Automotive / Detailing (10 Templates)

| # | Template | Type | 3-Rule Anchor | Max Chars |
|---|----------|------|---------------|-----------|
| 1 | `{NUMBER}+ Cars Protected Since {YEAR}` | Social Proof | Falsifiable | 30 |
| 2 | `{DURATION} {PRODUCT} Protection` | Benefit | Visualizable | 30 |
| 3 | `Rated {RATING} by {NUMBER}+ {AUDIENCE}` | Social Proof | Falsifiable | 30 |
| 4 | `Outlasts {COMPETITOR_PRODUCT} by {MULTIPLE}x` | Comparison | Falsifiable | 30 |
| 5 | `Apply in Under {MINUTES} Min` | Ease | Visualizable | 30 |
| 6 | `No More {FREQUENCY} {PAIN_TASK}` | Pain Removal | Visualizable | 30 |
| 7 | `${PRICE} Complete {PRODUCT} Kit` | Price | Falsifiable | 30 |
| 8 | `{TECHNOLOGY} Technology Built In` | Feature | Unique | 30 |
| 9 | `{PROTECTION_TYPE}   {PROTECTION_TYPE} Resistant` | Feature | Visualizable | 30 |
| 10 | `Save ${AMOUNT}/Year vs {ALTERNATIVE}` | Cost Savings | Falsifiable | 30 |

**Example fills:**
- Template 1: "10,000+ Cars Protected Since 2019" (28 chars)
- Template 6: "No More Monthly Waxing" (22 chars)
- Template 10: "Save $200/Year vs Monthly Wax" (29 chars)

---

## E-Commerce / DTC (10 Templates)

| # | Template | Type | 3-Rule Anchor | Max Chars |
|---|----------|------|---------------|-----------|
| 11 | `Free {SHIPPING_TYPE} on ${THRESHOLD}+ Orders` | Offer | Falsifiable | 30 |
| 12 | `{NUMBER} {PRODUCT_TYPE} Sold This {PERIOD}` | Social Proof | Falsifiable | 30 |
| 13 | `{PERCENTAGE}% Off Your First {PRODUCT}` | Offer | Falsifiable | 30 |
| 14 | `Ships in {TIMEFRAME} - {LOCATION} Stock` | Speed | Visualizable | 30 |
| 15 | `{GUARANTEE_PERIOD} {GUARANTEE_TYPE} Guarantee` | Trust | Falsifiable | 30 |
| 16 | `As Seen in {PUBLICATION}` | Authority | Unique | 30 |
| 17 | `{INGREDIENT/FEATURE} You Won't Find Elsewhere` | Unique Feature | Unique | 30 |
| 18 | `{NUMBER} Colors · {NUMBER} Sizes · ${PRICE}` | Selection | Visualizable | 30 |
| 19 | `Subscribe   Save {PERCENTAGE}% Monthly` | Offer | Falsifiable | 30 |
| 20 | `Join {NUMBER}+ {CUSTOMER_TYPE} Who Switched` | Social Proof | Falsifiable | 30 |

**Example fills:**
- Template 11: "Free 2-Day Shipping on $50+ Orders" (too long - adjust: "Free Shipping on $50+ Orders" = 28 chars)
- Template 14: "Ships in 24 Hours - US Stock" (27 chars)
- Template 20: "Join 15,000+ Athletes Who Switched" (too long - adjust: "Join 15K+ Athletes Who Switched" = 31 - need: "15K+ Athletes Made the Switch" = 29 chars)

---

## Health   Supplements (10 Templates)

| # | Template | Type | 3-Rule Anchor | Max Chars |
|---|----------|------|---------------|-----------|
| 21 | `{NUMBER}mg {INGREDIENT} Per {SERVING}` | Specificity | Falsifiable | 30 |
| 22 | `{CERTIFICATION} Certified · {TEST_TYPE} Tested` | Trust | Unique | 30 |
| 23 | `{NUMBER}+ {PROFESSIONAL_TYPE} Recommend Us` | Authority | Falsifiable | 30 |
| 24 | `Feel {BENEFIT} in {TIMEFRAME} or Refund` | Guarantee | Visualizable | 30 |
| 25 | `{NUMBER} {INGREDIENT_TYPE} · Zero {EXCLUDED}` | Feature | Falsifiable | 30 |
| 26 | `Sourced from {ORIGIN} {SOURCE_TYPE}` | Origin | Unique | 30 |
| 27 | `${PRICE_PER} Per Serving · {SUPPLY} Supply` | Value | Falsifiable | 30 |
| 28 | `{STUDY_TYPE} Backed {INGREDIENT}` | Authority | Falsifiable | 30 |
| 29 | `{BIOAVAILABILITY}x More Absorbable` | Superiority | Falsifiable | 30 |
| 30 | `No {FILLER_1}, No {FILLER_2}, No {FILLER_3}` | Clean Label | Visualizable | 30 |

**Example fills:**
- Template 21: "500mg Ashwagandha Per Capsule" (28 chars)
- Template 25: "12 Vitamins · Zero Fillers" (26 chars)
- Template 30: "No Soy, No Gluten, No GMOs" (26 chars)

---

## Home Services (10 Templates)

| # | Template | Type | 3-Rule Anchor | Max Chars |
|---|----------|------|---------------|-----------|
| 31 | `{NUMBER}+ {SERVICE_TYPE} Jobs in {AREA}` | Social Proof | Falsifiable | 30 |
| 32 | `Same-Day {SERVICE} Available` | Speed | Visualizable | 30 |
| 33 | `Licensed · Insured · {YEARS}+ Years` | Trust | Falsifiable | 30 |
| 34 | `Free {ESTIMATE_TYPE} in {TIMEFRAME}` | Offer | Visualizable | 30 |
| 35 | `${PRICE} {SERVICE} - No Hidden Fees` | Price | Falsifiable | 30 |
| 36 | `{RATING} Stars on {PLATFORM} ({NUMBER}+ Reviews)` | Social Proof | Falsifiable | 30 |
| 37 | `{AREA} Owned   Operated Since {YEAR}` | Local | Unique | 30 |
| 38 | `{WARRANTY_PERIOD} Warranty on All {WORK_TYPE}` | Guarantee | Falsifiable | 30 |
| 39 | `{BRAND_1}   {BRAND_2} Certified {ROLE}` | Authority | Unique | 30 |
| 40 | `Emergency {SERVICE} - {AVAILABILITY}` | Urgency | Visualizable | 30 |

**Example fills:**
- Template 31: "2,400+ Roof Repairs in Dallas" (29 chars)
- Template 35: "$89 Drain Clean - No Hidden Fees" (too long - adjust: "$89 Drain Cleaning - No Fees" = 28 chars)
- Template 40: "Emergency Plumbing - 24/7 Open" (30 chars)

---

## SaaS / Software (10 Templates)

| # | Template | Type | 3-Rule Anchor | Max Chars |
|---|----------|------|---------------|-----------|
| 41 | `{NUMBER}+ {COMPANY_TYPE} Use {PRODUCT}` | Social Proof | Falsifiable | 30 |
| 42 | `Save {HOURS} Hours/Week on {TASK}` | Time | Falsifiable | 30 |
| 43 | `{FEATURE} in {TIMEFRAME} - No {SKILL} Needed` | Ease | Visualizable | 30 |
| 44 | `Integrates with {TOOL_1}, {TOOL_2}   More` | Compatibility | Visualizable | 30 |
| 45 | `From ${PRICE}/Month · {TRIAL_PERIOD} Free Trial` | Pricing | Falsifiable | 30 |
| 46 | `{METRIC}% {IMPROVEMENT} vs {ALTERNATIVE}` | Comparison | Falsifiable | 30 |
| 47 | `SOC {LEVEL} Compliant · {ENCRYPTION} Encrypted` | Security | Unique | 30 |
| 48 | `Set Up in {TIMEFRAME} · No {REQUIREMENT}` | Ease | Visualizable | 30 |
| 49 | `{NUMBER}+ {TEMPLATE/FEATURE} Built In` | Feature | Falsifiable | 30 |
| 50 | `Rated #{RANK} {CATEGORY} on {PLATFORM}` | Authority | Falsifiable | 30 |

**Example fills:**
- Template 41: "8,000+ Agencies Use ReportDash" (30 chars)
- Template 42: "Save 12 Hours/Week on Reporting" (30 chars)
- Template 48: "Set Up in 5 Min · No Code" (25 chars)

---

## Cross-Industry Usage Guide

### By Headline Type

| Type | Templates | When to Use |
|------|-----------|-------------|
| Social Proof | 1, 12, 20, 23, 31, 36, 41 | High-trust verticals, expensive products |
| Price/Offer | 7, 11, 13, 19, 27, 35, 45 | Price-sensitive audiences, comparison shoppers |
| Feature/Spec | 8, 9, 17, 21, 25, 47, 49 | Technical audiences, differentiation needed |
| Speed/Ease | 5, 14, 32, 34, 43, 48 | Convenience-driven verticals |
| Authority | 16, 22, 28, 39, 50 | Regulated industries, premium products |
| Guarantee/Trust | 15, 24, 33, 38 | High-consideration purchases |
| Comparison | 4, 10, 29, 46 | Competitive markets, switching campaigns |

### Mix Strategy per RSA

Each RSA needs 15 headlines. Use this distribution:

| Headline Slot | Type | Why |
|---------------|------|-----|
| H1 | DKI | Always (see DKI rules in Blueprint) |
| H2-H3 | Cluster theme | Keyword relevance |
| H4-H5 | Social Proof | Build trust early |
| H6-H7 | Feature/Benefit | Differentiate |
| H8-H9 | Price/Offer | Conversion driver |
| H10-H11 | Authority | Credibility |
| H12-H13 | Speed/Ease | Remove friction |
| H14 | Comparison | Alternative framing |
| H15 | Guarantee | Risk removal |

---

## Character Count Cheat Sheet

Common words and their character costs:

| Word/Phrase | Chars | Budget Impact |
|-------------|-------|---------------|
| "Free Shipping" | 13 | Leaves 17 |
| "Rated 4.9/5" | 11 | Leaves 19 |
| "Since 2019" | 10 | Leaves 20 |
| "{KeyWord:}" | 9 | Leaves 21 for fallback |
| "No Hidden Fees" | 14 | Leaves 16 |
| "24/7" | 3 | Leaves 27 |
| "100% Guaranteed" | 15 | Leaves 15 |

**Rule**: Draft at 27 characters. The last 3 characters are your safety margin.

---

**Last Updated**: 2026-02-18


# BONUS: Keyword Match Decision Tree

**Value**: $47 standalone
**Purpose**: One-page flowchart that answers "Phrase or Exact?" in 10 seconds for any keyword.

---

## The Decision Tree

```
                    START HERE
                        │
                        ▼
            ┌───────────────────────┐
            │  Monthly Search       │
            │  Volume ≥ 1,000?      │
            └───────────┬───────────┘
                   │           │
                  YES          NO
                   │           │
                   ▼           ▼
        ┌──────────────┐  ┌──────────────┐
        │ Commercial    │  │ Volume ≥ 50? │
        │ Intent?       │  └──────┬───────┘
        └──────┬───────┘     │         │
          │         │       YES        NO
         YES        NO       │         │
          │         │        ▼         ▼
          ▼         ▼   ┌────────┐ ┌────────┐
   ┌──────────┐ ┌───────┐│ PHRASE ││ REJECT │
   │ CPC ≥    ││PHRASE ││ MATCH  ││ Do not │
   │ $0.50?   │└───────┘│        ││ target │
   └────┬─────┘         └────────┘└────────┘
    │       │
   YES      NO
    │       │
    ▼       ▼
┌───────┐┌───────┐
│ EXACT ││PHRASE │
│ MATCH ││ MATCH │
│ [kw]  ││ "kw"  │
└───────┘└───────┘
```

---

## Decision Rules (Text Version)

### Rule 1: Volume Gate
- **≥ 1,000 monthly searches** → Continue to Rule 2
- **50-999 monthly searches** → PHRASE MATCH
- **  50 monthly searches** → REJECT (do not target)

### Rule 2: Intent Check (Volume ≥ 1,000 only)
- **Commercial intent confirmed** → Continue to Rule 3
- **Non-commercial intent** → PHRASE MATCH

### Rule 3: CPC Threshold (Commercial + Volume ≥ 1,000 only)
- **CPC ≥ $0.50** → EXACT MATCH `[keyword]`
- **CPC   $0.50** → PHRASE MATCH `"keyword"`

---

## How to Determine Commercial Intent

### Commercial Signals (Score +10 each)

| Signal | Examples |
|--------|----------|
| Contains "buy" | buy ceramic coating, buy protein powder |
| Contains "shop" | shop running shoes, shop organic skincare |
| Contains "price" / "cost" | ceramic coating price, roof repair cost |
| Contains "deal" / "sale" | black friday deals, summer sale |
| Contains "order" | order custom signs, order meal kit |
| Contains "best" / "top" | best crm software, top rated mattress |
| Contains "near me" | plumber near me, gym near me |
| Contains brand name | nike running shoes, hubspot crm |
| Contains product type + modifier | waterproof hiking boots, wireless earbuds |
| High CPC ( $2) regardless of words | (market signal of commercial value) |

### Informational Signals (Score -10 each)

| Signal | Examples |
|--------|----------|
| Contains "how to" | how to apply ceramic coating |
| Contains "what is" | what is crm software |
| Contains "guide" / "tutorial" | beginner's guide to seo |
| Contains "vs" / "comparison" | hubspot vs salesforce |
| Contains "review" | best crm software review |
| Contains "why" | why use ceramic coating |
| Contains "free" | free crm software |
| Contains "diy" | diy roof repair |

### Scoring

```
Total Score = Sum of all matching signals

Commercial Intent:
  Score ≥ 20  →  COMMERCIAL (proceed in tree)
  Score 0-19  →  HYBRID (use Phrase Match)
  Score   0   →  INFORMATIONAL (reject if relevance   70)
```

---

## Match Type Quick Reference

| Match Type | Format | When Google Shows Your Ad | Use When |
|------------|--------|--------------------------|----------|
| Exact | `[ceramic coating kit]` | Query matches keyword meaning exactly | High volume + commercial + high CPC |
| Phrase | `"ceramic coating kit"` | Query contains keyword meaning | Everything else worth targeting |
| Broad | `ceramic coating kit` | **NEVER USE** | Never. Not in this system. |

### Why No Broad Match

Broad Match triggers on queries Google considers "related." In practice:
- "ceramic coating" broad matches to "car wash near me"
- "protein powder" broad matches to "workout plan"
- "crm software" broad matches to "excel spreadsheet"

Every dollar on Broad Match trains Google's algorithm on irrelevant data. The Phrase + Exact system eliminates this waste entirely.

---

## Scoring Spreadsheet Format

Use this format to score every keyword in your set:

| Keyword | Volume | CPC | Commercial Score | Intent | Decision | Match Type |
|---------|--------|-----|-----------------|--------|----------|------------|
| ceramic coating kit | 2,400 | $1.80 | +30 | Commercial | Rule 1→2→3 | Exact `[ceramic coating kit]` |
| best ceramic coating | 1,900 | $2.10 | +20 | Commercial | Rule 1→2→3 | Exact `[best ceramic coating]` |
| how to apply ceramic | 880 | $0.30 | -10 | Informational | Rule 1 | Phrase `"how to apply ceramic"` |
| ceramic paint protection | 320 | $0.90 | +10 | Hybrid | Rule 1 | Phrase `"ceramic paint protection"` |
| car wax alternative | 40 | $0.60 | +10 | Hybrid | Rule 1 | REJECT (volume   50) |

---

## Edge Cases

### When to Override the Tree

| Situation | Override | Reason |
|-----------|----------|--------|
| Brand terms (your brand) | Always Exact | Protect brand traffic |
| Brand terms (competitor) | Always Phrase | Capture comparison queries |
| Seasonal spikes | Recalculate monthly | Volume changes seasonally |
| New product launches | Start with Phrase | Build data before restricting |
| Very high CPC ( $10) | Always Exact | Precision matters more at high cost |

### Volume Data Sources

| Source | Reliability | Cost |
|--------|-------------|------|
| Google Keyword Planner | Medium (ranges) | Free with Ads account |
| SEMrush / Ahrefs | High (exact estimates) | $100-400/month |
| DataForSEO | High (exact estimates) | Pay-per-query |
| Google Search Console | High (your site only) | Free |

Use at least 2 sources. When they disagree, use the higher volume estimate (conservative on rejection).

---

## Implementation Checklist

- [ ] Export all keywords from current campaigns
- [ ] Pull volume + CPC data from keyword tool
- [ ] Score commercial intent for each keyword
- [ ] Run each keyword through the Decision Tree
- [ ] Assign match type (Exact, Phrase, or Reject)
- [ ] Remove all Broad Match keywords
- [ ] Group Exact keywords into high-priority ad groups
- [ ] Group Phrase keywords into standard ad groups
- [ ] Add rejected keywords to negative keyword list
- [ ] Review monthly for volume/CPC changes

---

**Last Updated**: 2026-02-18


# BONUS: RSA Performance Grader

**Value**: $97 standalone
**Purpose**: Paste your existing RSA headlines, score them against the 6-Criteria Rubric, and identify which headlines to replace first.

---

## How It Works

1. Export your current RSA headlines from Google Ads
2. Paste each headline into the Grading Sheet below
3. Score each headline against all 6 criteria
4. Headlines scoring   70 need replacement
5. Replace lowest-scoring headlines first (biggest impact)

---

## Step 1: Export Your Headlines

### From Google Ads UI
1. Navigate to Ads   extensions → Assets
2. Filter by Asset type: Headlines
3. Export to spreadsheet

### From Google Ads Editor
1. Select campaign/ad group
2. View RSAs
3. Copy headline columns

### Required Data Per Headline
- Headline text
- Current performance rating (if available): Best, Good, Low, or Learning
- Impressions (if available)
- The ad group / cluster it belongs to

---

## Step 2: The Grading Sheet

### Per-Headline Scorecard

```
┌─────────────────────────────────────────────────────────────────┐
│ HEADLINE: _________________________________________________      │
│ AD GROUP: _________________  RSA #: ___  POSITION: H___          │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│ CRITERIA 1: 3-RULE FILTER (0 or 30)                              │
│                                                                  │
│ □ Visualizable? Can reader picture it in  0.5 seconds?           │
│   □ PASS  □ FAIL  Notes: _____________________                   │
│                                                                  │
│ □ Falsifiable? Can someone prove this true or false?             │
│   □ PASS  □ FAIL  Notes: _____________________                   │
│                                                                  │
│ □ Unique? Swap competitor name - does it still work?             │
│   □ PASS  □ FAIL  Notes: _____________________                   │
│                                                                  │
│ SCORE: ___/30 (All pass = 30, any fail = 0)                      │
│                                                                  │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│ CRITERIA 2: KEYWORD RELEVANCE (0-20)                             │
│                                                                  │
│ □ Contains exact cluster theme words?              18-20         │
│ □ Contains theme-adjacent words?                   14-17         │
│ □ Loosely related to cluster?                      10-13         │
│ □ Off-topic or irrelevant?                         0-9           │
│                                                                  │
│ SCORE: ___/20                                                    │
│                                                                  │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│ CRITERIA 3: CLARITY (0-15)                                       │
│                                                                  │
│ □ Understood in under 2 seconds, zero jargon?      13-15        │
│ □ Clear with minor ambiguity?                      10-12        │
│ □ Requires re-reading or contains jargon?          7-9          │
│ □ Confusing or requires context?                   0-6          │
│                                                                  │
│ SCORE: ___/15                                                    │
│                                                                  │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│ CRITERIA 4: PROOFABILITY (0-15)                                  │
│                                                                  │
│ □ Backed by specific data on landing page?         13-15        │
│ □ Supported by general page information?           10-12        │
│ □ Implied by page content but not stated?          7-9          │
│ □ Unsubstantiated or fabricated?                   0-6          │
│                                                                  │
│ SCORE: ___/15                                                    │
│                                                                  │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│ CRITERIA 5: UNIQUENESS (0-10)                                    │
│                                                                  │
│ □ Only works for THIS product on THIS page?        9-10         │
│ □ Specific to product category?                    6-8          │
│ □ Could work for several products?                 3-5          │
│ □ Generic - works for any business?                0-2          │
│                                                                  │
│ SCORE: ___/10                                                    │
│                                                                  │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│ CRITERIA 6: CTR POTENTIAL (0-10)                                 │
│                                                                  │
│ □ Scroll-stopper, emotional pull?                  9-10         │
│ □ Compelling, clear reason to click?               6-8          │
│ □ Functional but not exciting?                     3-5          │
│ □ Boring, generic, no reason to click?             0-2          │
│                                                                  │
│ SCORE: ___/10                                                    │
│                                                                  │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│ TOTAL SCORE: ___/100                                             │
│                                                                  │
│ □ ≥ 70 = KEEP                                                    │
│ □ 50-69 = REPLACE WHEN POSSIBLE                                 │
│ □   50 = REPLACE IMMEDIATELY                                    │
│                                                                  │
│ REPLACEMENT PRIORITY: □ HIGH  □ MEDIUM  □ LOW                    │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘
```

---

## Step 3: Batch Grading Template

Score all 15 headlines per RSA in one view:

| # | Headline | 3-Rule (30) | Keyword (20) | Clarity (15) | Proof (15) | Unique (10) | CTR (10) | Total | Action |
|---|----------|-------------|--------------|-------------|------------|-------------|----------|-------|--------|
| H1 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| H2 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| H3 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| H4 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| H5 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| H6 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| H7 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| H8 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| H9 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| H10 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| H11 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| H12 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| H13 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| H14 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |
| H15 | | /30 | /20 | /15 | /15 | /10 | /10 | /100 | |

**RSA Average Score**: ___/100
**Headlines Below 70**: ___/15
**Replacement Priority**: □ Critical (5+) □ Moderate (2-4) □ Minor (0-1)

---

## Step 4: Replacement Priority Matrix

After grading all RSAs in a cluster, use this matrix to prioritize:

### Priority 1: Replace Immediately (Biggest Impact)

| Condition | Why It Matters |
|-----------|---------------|
| Score   50 | Actively hurting Quality Score |
| Fails 3-Rule Filter (0/30 on Criteria 1) | Google may still show it, but it won't convert |
| Google labels it "Low" performance | Google's data confirms it underperforms |
| 0-5 on Uniqueness | Wasting a headline slot on generic copy |

### Priority 2: Replace When Possible

| Condition | Why It Matters |
|-----------|---------------|
| Score 50-69 | Not terrible, but dragging down RSA average |
| Passes 3-Rule but low CTR Potential (0-5) | Technically sound but not compelling |
| Keyword Relevance   14 | Weak message match reduces Quality Score |

### Priority 3: Monitor

| Condition | Why It Matters |
|-----------|---------------|
| Score 70-79 | Meets threshold but room for improvement |
| Google labels it "Good" but not "Best" | Working but not optimized |

### Priority 4: Keep

| Condition | Why It Matters |
|-----------|---------------|
| Score ≥ 80 | Strong performer |
| Google labels it "Best" | Data-confirmed winner |

---

## Step 5: RSA Health Score

Calculate an overall health score per RSA and per cluster:

### Per RSA

```
RSA Health = (Number of headlines ≥ 70) / 15 × 100

HEALTHY:     80-100% (12-15 headlines pass)
AT RISK:     60-79%  (9-11 headlines pass)
UNHEALTHY:   40-59%  (6-8 headlines pass)
CRITICAL:      40%   (fewer than 6 pass)
```

### Per Cluster (3 RSAs)

```
Cluster Health = Average of 3 RSA Health Scores

Also check:
□ Headline uniqueness across RSAs (max 10% overlap)
□ Description uniqueness (12 unique across 3 RSAs)
□ Headline type diversity (at least 5 different types per RSA)
```

---

## Common Failure Patterns

### Pattern 1: "Corporate Nothing" (Score: 10-25)

```
Example: "Buy Quality Products Online"
3-Rule: 0/30 (fails all three)
Keyword: 5/20 (barely related)
Clarity: 12/15 (clear but empty)
Proof: 0/15 (nothing to prove)
Unique: 0/10 (any business)
CTR: 2/10 (no reason to click)
FIX: Replace with specific product + number + benefit
```

### Pattern 2: "Feature Dump" (Score: 40-55)

```
Example: "Advanced Multi-Layer Protection System"
3-Rule: 0/30 (not visualizable, not falsifiable)
Keyword: 16/20 (contains theme words)
Clarity: 8/15 (jargon-heavy)
Proof: 7/15 (implied but vague)
Unique: 6/10 (somewhat specific)
CTR: 4/10 (functional, not exciting)
FIX: Make it concrete - "3-Layer Ceramic Shield - 2yr"
```

### Pattern 3: "Almost There" (Score: 60-69)

```
Example: "Protect Your Paint Today"
3-Rule: 30/30 (passes all three)
Keyword: 14/20 (theme-adjacent)
Clarity: 13/15 (crystal clear)
Proof: 3/15 (unsubstantiated)
Unique: 3/10 (works for many products)
CTR: 5/10 (standard)
FIX: Add specificity - "2-Year Paint Shield - $89 Kit"
```

---

## Grading Descriptions (Quick Reference)

Grade descriptions also apply to the 4 description slots per RSA:

| # | Description | Benefit (90) | Proof (90) | CTA (90) | Total | Action |
|---|-------------|-------------|------------|----------|-------|--------|
| D1 | | /30 | /30 | /30 | /90 | |
| D2 | | /30 | /30 | /30 | /90 | |
| D3 | | /30 | /30 | /30 | /90 | |
| D4 | | /30 | /30 | /30 | /90 | |

### Description Scoring

- **Benefit (30)**: Does it communicate a clear, specific benefit?
- **Proof (30)**: Does it include verifiable proof elements?
- **CTA (30)**: Does it include a clear call to action or next step?

Threshold: 65/90. Replace descriptions below this score.

---

**Last Updated**: 2026-02-18


# BONUS: Emotional Truth Worksheet

**Value**: $47 standalone
**Purpose**: 15-minute exercise that extracts the emotional truth behind your customer's search query - the raw material for headlines that actually convert.

---

## What Is an Emotional Truth?

An emotional truth is the real feeling driving a search query - the thing your customer would say to a friend but never type into Google.

**Search query**: "best ceramic coating for cars"
**Surface need**: Product recommendation
**Emotional truth**: "I just spent $45K on this car and I'm terrified of the first scratch."

The search query tells you WHAT they want. The emotional truth tells you WHY they want it. Headlines built on emotional truth convert because they reflect the reader's internal dialogue back at them.

---

## The 5-Question Protocol

Answer all 5 questions for each angle cluster. Spend 2-3 minutes per question. Don't overthink - write the first honest answer.

### Question 1: What keeps them awake?

**Prompt**: Your customer is lying in bed at 11:30 PM. What thought about this problem won't let them sleep?

```
┌─────────────────────────────────────────────────────────────────┐
│ ANGLE/CLUSTER: _______________________________________________   │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│ The thought that won't shut off:                                 │
│ _______________________________________________________________  │
│ _______________________________________________________________  │
│                                                                  │
│ The specific fear underneath:                                    │
│ _______________________________________________________________  │
│                                                                  │
│ What happens if they DON'T fix this?                             │
│ _______________________________________________________________  │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘
```

**Examples by industry:**

| Industry | Surface Problem | 11:30 PM Thought |
|----------|----------------|------------------|
| Automotive | "Need paint protection" | "That rock chip on the highway will cost me $2,000 to fix" |
| Supplements | "Want better energy" | "I can't keep canceling plans because I'm too tired by 6 PM" |
| Home Services | "Need a roofer" | "If it rains hard again, my ceiling might actually collapse" |
| SaaS | "Need better CRM" | "I forgot to follow up with that $50K prospect and they went cold" |
| E-Commerce | "Looking for running shoes" | "My knees hurt every morning and I'm only 34" |
| HVAC | "AC not working" | "My wife is going to kill me if I don't get this fixed before her parents visit" |

---

### Question 2: What have they already tried?

**Prompt**: What solutions has your customer attempted that failed or disappointed them? What's their relationship with those failed attempts?

```
┌─────────────────────────────────────────────────────────────────┐
│ ANGLE/CLUSTER: _______________________________________________   │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│ Attempt #1: ___________________________________________________  │
│ Why it failed: ________________________________________________  │
│ How they felt after: __________________________________________  │
│                                                                  │
│ Attempt #2: ___________________________________________________  │
│ Why it failed: ________________________________________________  │
│ How they felt after: __________________________________________  │
│                                                                  │
│ Attempt #3: ___________________________________________________  │
│ Why it failed: ________________________________________________  │
│ How they felt after: __________________________________________  │
│                                                                  │
│ The pattern: ___________________________________________________│
│ (What do all failures have in common?)                           │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘
```

**Examples by industry:**

| Industry | Failed Attempt | The Feeling |
|----------|---------------|-------------|
| Automotive | "Tried car wax monthly" | "Wasted weekends and it didn't even last" |
| Supplements | "Tried 3 energy supplements" | "They all worked for a week then nothing" |
| Home Services | "Hired cheap contractor" | "They ghosted after taking the deposit" |
| SaaS | "Tried free CRM tools" | "Spent 20 hours setting it up, still missing features" |
| E-Commerce | "Bought cheap shoes online" | "They fell apart in 2 months, $60 wasted" |
| HVAC | "Tried fixing it myself from YouTube" | "Made it worse and now the repair costs more" |

---

### Question 3: What would they pay to make it go away?

**Prompt**: If your customer could snap their fingers and eliminate this problem permanently, what would that be worth to them? What does their life look like after?

```
┌─────────────────────────────────────────────────────────────────┐
│ ANGLE/CLUSTER: _______________________________________________   │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│ "I'd pay $_______ to never worry about this again."             │
│                                                                  │
│ What their life looks like after:                                │
│ _______________________________________________________________  │
│ _______________________________________________________________  │
│                                                                  │
│ The feeling they're actually buying:                             │
│ □ Peace of mind   □ Status    □ Freedom from pain               │
│ □ Time back       □ Control   □ Confidence                      │
│ □ Safety          □ Pride     □ _______________                  │
│                                                                  │
│ The identity shift:                                              │
│ FROM: "I'm someone who ______________________________________"   │
│ TO:   "I'm someone who ______________________________________"   │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘
```

---

### Question 4: What would they tell a friend?

**Prompt**: Your customer is at a barbecue. A friend asks "Hey, I'm dealing with [problem]. Any advice?" What does your customer say - in their actual words, not marketing language?

```
┌─────────────────────────────────────────────────────────────────┐
│ ANGLE/CLUSTER: _______________________________________________   │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│ "Honestly? ___________________________________________________   │
│ _______________________________________________________________  │
│ _______________________________________________________________" │
│                                                                  │
│ The specific words they'd use (not marketing words):             │
│ _______________________________________________________________  │
│                                                                  │
│ The warning they'd give:                                         │
│ "Whatever you do, don't ______________________________________"  │
│                                                                  │
│ The recommendation:                                              │
│ "What worked for me was ______________________________________"  │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘
```

---

### Question 5: What triggers the search?

**Prompt**: What specific moment made your customer open Google and type that search query? What just happened in their life?

```
┌─────────────────────────────────────────────────────────────────┐
│ ANGLE/CLUSTER: _______________________________________________   │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│ The trigger moment:                                              │
│ "I finally searched because ___________________________________  │
│ _______________________________________________________________" │
│                                                                  │
│ Time pressure:                                                   │
│ □ Urgent (need it this week)                                     │
│ □ Soon (need it this month)                                      │
│ □ Planning (researching for future)                              │
│                                                                  │
│ Emotional state when searching:                                  │
│ □ Frustrated    □ Anxious     □ Determined                       │
│ □ Hopeful       □ Skeptical   □ Desperate                        │
│ □ Curious       □ Angry       □ _______________                  │
│                                                                  │
│ What they need to see in the ad to click:                        │
│ _______________________________________________________________  │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘
```

**Examples by industry:**

| Industry | Trigger Moment |
|----------|---------------|
| Automotive | "Got a quote from the dealer for paint correction - $1,500" |
| Supplements | "Doctor said my bloodwork was off and I need to make changes" |
| Home Services | "Neighbor just got their roof done and it looks amazing" |
| SaaS | "Lost a deal because I forgot to follow up - boss noticed" |
| E-Commerce | "Instagram ad showed exactly what I've been looking for" |
| HVAC | "Thermometer hit 95°F inside and the unit is making a noise" |

---

## Emotional Truth → Headline Translation

After completing all 5 questions, distill the emotional truth into headline-ready language.

### Translation Template

```
┌─────────────────────────────────────────────────────────────────┐
│ EMOTIONAL TRUTH DISTILLATION                                     │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│ RAW EMOTIONAL TRUTH (from 5 questions):                          │
│ _______________________________________________________________  │
│                                                                  │
│ CORE FEAR: ____________________________________________________  │
│ CORE DESIRE: __________________________________________________  │
│ TRIGGER MOMENT: _______________________________________________  │
│                                                                  │
│ HEADLINE ANGLES (generate 3-5):                                  │
│                                                                  │
│ Fear-based:    "_______________________________________________"  │
│ Desire-based:  "_______________________________________________"  │
│ Proof-based:   "_______________________________________________"  │
│ Outcome-based: "_______________________________________________"  │
│ Relief-based:  "_______________________________________________"  │
│                                                                  │
│ BEST HEADLINE (score against rubric): ________________________   │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘
```

### Worked Example: Ceramic Coating

```
RAW EMOTIONAL TRUTH:
"I spent $45K on this car. Every rock chip makes me sick. Monthly
waxing is eating my weekends. I want to park anywhere without
anxiety."

CORE FEAR: Damaging an expensive investment
CORE DESIRE: Permanent protection without ongoing effort
TRIGGER MOMENT: Got a $1,500 paint correction quote

HEADLINE ANGLES:

Fear-based:    "One Rock Chip = $1,500 Repair"        (28 chars)
Desire-based:  "Park Anywhere Without Anxiety"         (29 chars)
Proof-based:   "2-Year Protection - $89 Kit"           (27 chars)
Outcome-based: "No More Weekend Waxing Sessions"       (30 chars)
Relief-based:  "Stop Worrying About Your Paint"        (30 chars)

BEST HEADLINE: "2-Year Protection - $89 Kit" (Score: 85/100)
- Visualizable: Yes (protection duration + price)
- Falsifiable: Yes ($89 and 2-year are verifiable)
- Unique: Yes (specific product/price combo)
```

---

## Emotional Depth Tiers

Not all emotional truths are equal. Aim for Tier 2 or Tier 3.

| Tier | Depth | Example | Headline Quality |
|------|-------|---------|-----------------|
| Tier 1 | Surface | "I need paint protection" | Generic, low CTR |
| Tier 2 | Emotional | "I'm terrified of the first scratch on my new car" | Specific, relatable |
| Tier 3 | Identity | "I worked 3 years to afford this car - protecting it means protecting that achievement" | Deep, high CTR |

### How to Go Deeper

If your answers feel like Tier 1, ask "Why does that matter?" after each answer.

```
"I need paint protection."
→ Why? "Because I don't want scratches."
→ Why does that matter? "Because this car cost me $45K."
→ Why does THAT matter? "Because I saved for 3 years and scratches
  make me feel like I'm losing what I earned."

Tier 3 truth: Protection = protecting the achievement
```

---

## Timing Guide

| Step | Time | Notes |
|------|------|-------|
| Question 1 | 3 minutes | Write gut reaction, don't filter |
| Question 2 | 3 minutes | List at least 2 failed attempts |
| Question 3 | 3 minutes | Don't overthink the dollar amount |
| Question 4 | 3 minutes | Write in actual conversation tone |
| Question 5 | 3 minutes | Be specific about the moment |
| Translation | 5 minutes | Generate 3-5 headline angles |
| **Total** | **20 minutes** | Per angle cluster |

Complete this worksheet BEFORE writing any headlines. The 20 minutes invested here saves hours of writing generic copy that doesn't convert.

---

**Last Updated**: 2026-02-18


# BONUS: 3-Rule Copy Filter Scorecard

**Value**: $67 standalone
**Purpose**: Complete checklist with banned phrase list and substitution guide. Run every headline through this filter before it enters an RSA.

---

## The 3 Rules

Every headline must pass ALL THREE rules. If any single rule fails, the headline is rejected. No partial credit. No exceptions.

```
┌───────────────────────────────────────────────────┐
│                                                   │
│   RULE 1: VISUALIZABLE                            │
│   Can the reader picture it in  0.5 seconds?      │
│                                                   │
│   RULE 2: FALSIFIABLE                             │
│   Can someone prove this claim true or false?     │
│                                                   │
│   RULE 3: UNIQUE                                  │
│   Swap in a competitor's name - still work?       │
│                                                   │
│   ALL 3 PASS → KEEP                               │
│   ANY 1 FAILS → REJECT                            │
│                                                   │
└───────────────────────────────────────────────────┘
```

---

## Rule 1: Visualizable

**Test**: Read the headline. Close your eyes. Can you see a specific image in under half a second?

### Pass Examples

| Headline | Image Formed |
|----------|-------------|
| "2-Year Paint Protection - $89 Kit" | A coating on a car, a price tag |
| "Ships in 24 Hours - US Stock" | A package leaving a warehouse |
| "500mg Ashwagandha Per Capsule" | A capsule with measured powder |
| "Same-Day Roof Repair Available" | A roofer on a roof, today |
| "12 Colors · 4 Sizes · $29" | Product lineup with options |

### Fail Examples

| Headline | Why It Fails |
|----------|-------------|
| "Premium Quality Solutions" | No specific image. What does "premium" look like? |
| "Innovative Approach to Growth" | Abstract concept, no visual |
| "Next-Generation Technology" | What does "next-generation" look like? |
| "Comprehensive Coverage" | Coverage of what? No image |
| "Transform Your Experience" | What transforms? Into what? |

### Quick Test

Ask yourself: "If I had to draw this headline, what would I draw?"
- If you can sketch it → PASS
- If you'd draw a question mark → FAIL

---

## Rule 2: Falsifiable

**Test**: Can a stranger verify whether this headline is true or false using your landing page or public information?

### Pass Examples

| Headline | How to Verify |
|----------|--------------|
| "Rated 4.9 by 3,200+ Customers" | Check review platform, count reviews |
| "$89 Complete Kit" | Check product page price |
| "2-Year Protection Guarantee" | Check guarantee terms on landing page |
| "10,000+ Cars Protected Since 2019" | Check company records, customer count |
| "Saves 12 Hours/Week on Reporting" | Check case studies, customer data |

### Fail Examples

| Headline | Why It Fails |
|----------|-------------|
| "Best Quality Available" | "Best" by what measure? |
| "Amazing Results" | What results? How amazing? |
| "Top-Rated Service" | Top-rated where? By whom? |
| "Incredible Value" | Incredible compared to what? |
| "World-Class Support" | How do you verify "world-class"? |

### Quick Test

Ask yourself: "Could a skeptic disprove this?"
- If they could check and confirm it → PASS
- If they'd say "that's just your opinion" → FAIL

---

## Rule 3: Unique

**Test**: Replace your brand/product name with your biggest competitor's name. Does the headline still work?

### Pass Examples

| Headline | Competitor Test |
|----------|----------------|
| "Graphene-Infused Ceramic Formula" | Competitor uses different chemistry → UNIQUE |
| "Made in Portland, OR Since 2017" | Competitor is in a different city → UNIQUE |
| "10,000+ Cars Protected" | Competitor has different customer count → UNIQUE |
| "$89 Complete Kit" | Competitor has different pricing → UNIQUE |
| "30-Min DIY Application" | Competitor requires professional install → UNIQUE |

### Fail Examples

| Headline | Competitor Test |
|----------|----------------|
| "Protect Your Investment" | Works for any protection product → GENERIC |
| "Professional Quality" | Every competitor claims this → GENERIC |
| "Fast   Reliable Service" | Works for any service company → GENERIC |
| "Buy Online Today" | Works for literally any online store → GENERIC |
| "Expert Team Ready to Help" | Every service company → GENERIC |

### Quick Test

Ask yourself: "Would my competitor be happy running this exact headline?"
- If they'd need to change it → PASS
- If they could copy-paste it → FAIL

---

## Batch Scoring Scorecard

Use this to filter 25 headline candidates quickly:

| # | Headline | V | F | U | Pass? | Notes |
|---|----------|---|---|---|-------|-------|
| 1 | | □ | □ | □ | | |
| 2 | | □ | □ | □ | | |
| 3 | | □ | □ | □ | | |
| 4 | | □ | □ | □ | | |
| 5 | | □ | □ | □ | | |
| 6 | | □ | □ | □ | | |
| 7 | | □ | □ | □ | | |
| 8 | | □ | □ | □ | | |
| 9 | | □ | □ | □ | | |
| 10 | | □ | □ | □ | | |
| 11 | | □ | □ | □ | | |
| 12 | | □ | □ | □ | | |
| 13 | | □ | □ | □ | | |
| 14 | | □ | □ | □ | | |
| 15 | | □ | □ | □ | | |
| 16 | | □ | □ | □ | | |
| 17 | | □ | □ | □ | | |
| 18 | | □ | □ | □ | | |
| 19 | | □ | □ | □ | | |
| 20 | | □ | □ | □ | | |
| 21 | | □ | □ | □ | | |
| 22 | | □ | □ | □ | | |
| 23 | | □ | □ | □ | | |
| 24 | | □ | □ | □ | | |
| 25 | | □ | □ | □ | | |

**V** = Visualizable | **F** = Falsifiable | **U** = Unique

**Target**: 15+ pass out of 25 candidates. If fewer than 15 pass, generate 10 more candidates.

---

## Banned Phrase List

These phrases ALWAYS fail the 3-Rule Filter. Never use them in RSA headlines.

### Category 1: Empty Adjectives (Fail: Visualizable + Falsifiable)

| Banned Phrase | Why | Replace With |
|--------------|-----|-------------|
| Premium | Not visualizable, unfalsifiable | Specific material/feature |
| Best | Unfalsifiable superlative | Specific ranking/rating |
| Top | Unfalsifiable | "#1 on [platform]" with proof |
| Quality | Means nothing without context | Specific quality measure |
| Professional | Everyone claims this | Certification or credential |
| Advanced | Not visualizable | Specific technology name |
| Superior | Unfalsifiable comparison | Measurable comparison |
| Excellent | Subjective | Specific metric |
| Amazing | Subjective | Specific outcome |
| Great | Subjective | Specific benefit |
| Cutting-Edge | Not visualizable | Specific innovation |
| Next-Generation | Not visualizable | What changed specifically |
| State-of-the-Art | Cliche + unfalsifiable | Specific technology |
| World-Class | Unfalsifiable | Specific credential |

### Category 2: Vague Verbs (Fail: Visualizable)

| Banned Phrase | Why | Replace With |
|--------------|-----|-------------|
| Transform | Into what? | Specific before → after |
| Elevate | How high? | Specific improvement metric |
| Unlock | What's locked? | Specific access/feature |
| Empower | To do what? | Specific capability |
| Maximize | To what level? | Specific number/percentage |
| Optimize | How? | Specific improvement |
| Leverage | Corporate jargon | Specific action verb |
| Enhance | By how much? | Specific improvement |
| Revolutionize | How? | Specific change |
| Streamline | Compared to what? | Specific time saved |
| Supercharge | Not a real thing | Specific multiplier |

### Category 3: Empty Promises (Fail: Falsifiable + Unique)

| Banned Phrase | Why | Replace With |
|--------------|-----|-------------|
| Guaranteed Results | What results? What guarantee? | Specific guarantee terms |
| Proven Track Record | Prove it with numbers | "[Number] [outcome] since [year]" |
| Industry-Leading | Leading by what measure? | Specific ranking/award |
| Trusted by Thousands | How many thousands? | Exact customer count |
| Fast   Reliable | Meaningless pair | Specific speed metric |
| One-Stop Solution | Fails uniqueness | List specific offerings |
| Your Partner in Success | Fails all 3 rules | Specific service outcome |
| Customer-Focused | Everyone says this | Specific support metric |
| Results-Driven | Fails falsifiable | Specific result + timeframe |

### Category 4: Generic CTAs (Fail: Unique)

| Banned Phrase | Why | Replace With |
|--------------|-----|-------------|
| Buy Now | Works for any store | Product-specific CTA |
| Shop Today | Works for any store | Category + urgency |
| Get Started | Vague action | Specific first step |
| Learn More | No commitment | Specific content offered |
| Contact Us | Generic | Specific action + outcome |
| Click Here | Generic | What happens after click |
| Sign Up | Vague | What they sign up for |
| Order Today | Generic | Product + benefit |

---

## Substitution Patterns

When a headline fails, use these patterns to fix it:

### Pattern 1: Abstract → Concrete

```
BEFORE: "Premium Protection"
AFTER:  "2-Year Ceramic Shield"
METHOD: Replace adjective with measurable noun
```

### Pattern 2: Vague → Numbered

```
BEFORE: "Trusted by Many"
AFTER:  "10,000+ Cars Protected"
METHOD: Replace vague quantity with exact number
```

### Pattern 3: Generic → Specific

```
BEFORE: "Buy Online Today"
AFTER:  "$89 Kit - Ships Free"
METHOD: Add price, product, or offer detail
```

### Pattern 4: Feature → Outcome

```
BEFORE: "Advanced Technology"
AFTER:  "Outlasts Wax by 10x"
METHOD: State what the feature does for the customer
```

### Pattern 5: Claim → Proof

```
BEFORE: "Best in Class"
AFTER:  "Rated #1 by Car   Driver"
METHOD: Replace claim with source + ranking
```

### Pattern 6: Corporate → Human

```
BEFORE: "Comprehensive Solutions"
AFTER:  "Fix Your Roof in 1 Day"
METHOD: Say what you'd tell a friend
```

---

## Failure Protocol

When a headline fails the filter, follow this process:

```
STEP 1: Identify which rule(s) failed
  □ Visualizable failed → Add concrete detail
  □ Falsifiable failed → Add a number or proof point
  □ Unique failed → Add brand-specific detail

STEP 2: Check the Banned Phrase List
  □ Contains banned phrase → Use substitution pattern

STEP 3: Rewrite using the fix pattern
  □ Apply relevant substitution pattern
  □ Keep under 30 characters
  □ Re-test against all 3 rules

STEP 4: If still failing after 2 rewrites
  □ Discard entirely
  □ Generate new candidate from different headline type
  □ Try different angle approach
```

---

## Speed Scoring Guide

After practice, you should be able to 3-Rule score a headline in under 10 seconds:

| Time | Verdict |
|------|---------|
| Instant hesitation on Rule 1 | Probably fails Visualizable |
| Need to think about Rule 2 | Probably fails Falsifiable |
| Could swap any brand in | Definitely fails Unique |
| Immediate "yes" to all 3 | Strong pass - move to full rubric |

The 3-Rule Filter is your first gate. Headlines that pass move on to the full 6-Criteria Rubric for scoring. Headlines that fail get rewritten or discarded before consuming scoring time.

---

**Last Updated**: 2026-02-18


# 26-Column CSV Template for Bulk Upload

**Purpose**: Upload complete campaign structures to Google Ads Editor in a single import. Covers campaigns, ad groups, keywords, RSAs, and extensions.

---

## Instructions

1. Open the template in Google Sheets or Excel
2. Fill in each row using the column definitions below
3. One row per entity (keyword, ad, extension)
4. Export as CSV (UTF-8 encoding)
5. Import into Google Ads Editor via File -  Import -  From file

---

## Column Definitions

| # | Column | Description | Max Length |
|---|--------|-------------|-----------|
| 1 | Campaign | Campaign name following convention: [Network]\_[Match]\_[Theme]\_[Geo] | - |
| 2 | Ad Group | Ad group name (single-theme) | - |
| 3 | RSA Name | Descriptive name for the RSA (e.g., "Authority+Quality") | - |
| 4 | Final URL | Landing page URL | - |
| 5 | Headline 1 | DKI headline: `{KeyWord:Fallback}` (fallback max 20 chars) | 30 chars |
| 6 | Headline 2 | RSA headline | 30 chars |
| 7 | Headline 3 | RSA headline | 30 chars |
| 8 | Headline 4 | RSA headline | 30 chars |
| 9 | Headline 5 | RSA headline | 30 chars |
| 10 | Headline 6 | RSA headline | 30 chars |
| 11 | Headline 7 | RSA headline | 30 chars |
| 12 | Headline 8 | RSA headline | 30 chars |
| 13 | Headline 9 | RSA headline | 30 chars |
| 14 | Headline 10 | RSA headline | 30 chars |
| 15 | Headline 11 | RSA headline | 30 chars |
| 16 | Headline 12 | RSA headline | 30 chars |
| 17 | Headline 13 | RSA headline | 30 chars |
| 18 | Headline 14 | RSA headline | 30 chars |
| 19 | Headline 15 | RSA headline | 30 chars |
| 20 | Description 1 | RSA description (benefit-focused) | 90 chars |
| 21 | Description 2 | RSA description (mechanism-focused) | 90 chars |
| 22 | Description 3 | RSA description (CTA-focused) | 90 chars |
| 23 | Description 4 | RSA description (proof-focused) | 90 chars |
| 24 | Path 1 | Display URL path segment 1 | 15 chars |
| 25 | Path 2 | Display URL path segment 2 | 15 chars |
| 26 | Ad Status | ENABLED or PAUSED | - |

**Important validation rules:**
- All 15 headlines are required per RSA row (no empty headline columns)
- All 4 descriptions are required per RSA row
- Headline 1 should use DKI format: `{KeyWord:Fallback}` with fallback max 20 characters
- No headline may exceed 30 characters (auto-fail on upload)
- No description may exceed 90 characters (auto-fail on upload)
- Path segments max 15 characters each
- Campaign naming must follow convention: `[Network]_[Match Type]_[Campaign Theme]_[Geo]`

---

## Complete Sequential Example: 5 Campaigns, Full Hierarchy

This example shows a real campaign structure for an online running shoe store. Each row type shows how the 26 columns are used - and which columns are left empty for that row type.

**Structure**: 5 campaigns x 2 ad groups each x 3 keywords per ad group x 1 RSA per ad group

**How rows relate to each other**: Campaign rows define the container. Ad group rows nest inside campaigns. Keyword rows and RSA rows nest inside ad groups. The Campaign column (column 1) ties everything together - every row that shares the same Campaign value belongs to that campaign.

### Row-by-Row Data

**Legend**: Each row shows Campaign | Ad Group | Row Type | then the relevant columns for that entity type. Empty columns are shown as blank.

---

**Campaign 1: Search_Exact_Brand_US** (Brand terms, highest priority)

| Row | Campaign | Ad Group | Row Type | Key Data |
|-----|----------|----------|----------|----------|
| 1 | Search_Exact_Brand_US | Brand_Core | Keyword | [speedrunner shoes], Exact, ENABLED |
| 2 | Search_Exact_Brand_US | Brand_Core | Keyword | [speedrunner running shoes], Exact, ENABLED |
| 3 | Search_Exact_Brand_US | Brand_Core | Keyword | [buy speedrunner], Exact, ENABLED |
| 4 | Search_Exact_Brand_US | Brand_Core | RSA | (see RSA detail below) |
| 5 | Search_Exact_Brand_US | Brand_Reviews | Keyword | [speedrunner shoes review], Exact, ENABLED |
| 6 | Search_Exact_Brand_US | Brand_Reviews | Keyword | [speedrunner shoes rating], Exact, ENABLED |
| 7 | Search_Exact_Brand_US | Brand_Reviews | Keyword | [speedrunner worth it], Exact, ENABLED |
| 8 | Search_Exact_Brand_US | Brand_Reviews | RSA | (see RSA detail below) |

**Campaign 2: Search_Exact_Running-Shoes_US** (Generic exact match, high intent)

| Row | Campaign | Ad Group | Row Type | Key Data |
|-----|----------|----------|----------|----------|
| 9 | Search_Exact_Running-Shoes_US | RunShoes_Price-Intent | Keyword | [running shoes sale], Exact, ENABLED |
| 10 | Search_Exact_Running-Shoes_US | RunShoes_Price-Intent | Keyword | [running shoes discount], Exact, ENABLED |
| 11 | Search_Exact_Running-Shoes_US | RunShoes_Price-Intent | Keyword | [running shoes deals], Exact, ENABLED |
| 12 | Search_Exact_Running-Shoes_US | RunShoes_Price-Intent | RSA | (see RSA detail below) |
| 13 | Search_Exact_Running-Shoes_US | RunShoes_Problem-Intent | Keyword | [running shoes for flat feet], Exact, ENABLED |
| 14 | Search_Exact_Running-Shoes_US | RunShoes_Problem-Intent | Keyword | [running shoes plantar fasciitis], Exact, ENABLED |
| 15 | Search_Exact_Running-Shoes_US | RunShoes_Problem-Intent | Keyword | [running shoes knee pain], Exact, ENABLED |
| 16 | Search_Exact_Running-Shoes_US | RunShoes_Problem-Intent | RSA | (see RSA detail below) |

**Campaign 3: Search_Phrase_Running-Shoes_US** (Generic phrase match, discovery)

| Row | Campaign | Ad Group | Row Type | Key Data |
|-----|----------|----------|----------|----------|
| 17 | Search_Phrase_Running-Shoes_US | RunShoes_Price-Phrase | Keyword | "running shoes sale", Phrase, ENABLED |
| 18 | Search_Phrase_Running-Shoes_US | RunShoes_Price-Phrase | Keyword | "running shoes deals", Phrase, ENABLED |
| 19 | Search_Phrase_Running-Shoes_US | RunShoes_Price-Phrase | Keyword | "affordable running shoes", Phrase, ENABLED |
| 20 | Search_Phrase_Running-Shoes_US | RunShoes_Price-Phrase | RSA | (see RSA detail below) |
| 21 | Search_Phrase_Running-Shoes_US | RunShoes_Research-Phrase | Keyword | "best running shoes", Phrase, ENABLED |
| 22 | Search_Phrase_Running-Shoes_US | RunShoes_Research-Phrase | Keyword | "top running shoes 2026", Phrase, ENABLED |
| 23 | Search_Phrase_Running-Shoes_US | RunShoes_Research-Phrase | Keyword | "running shoes review", Phrase, ENABLED |
| 24 | Search_Phrase_Running-Shoes_US | RunShoes_Research-Phrase | RSA | (see RSA detail below) |

**Campaign 4: Search_Exact_Trail-Running_US** (Product category, exact)

| Row | Campaign | Ad Group | Row Type | Key Data |
|-----|----------|----------|----------|----------|
| 25 | Search_Exact_Trail-Running_US | Trail_Performance | Keyword | [trail running shoes], Exact, ENABLED |
| 26 | Search_Exact_Trail-Running_US | Trail_Performance | Keyword | [off road running shoes], Exact, ENABLED |
| 27 | Search_Exact_Trail-Running_US | Trail_Performance | Keyword | [trail runners], Exact, ENABLED |
| 28 | Search_Exact_Trail-Running_US | Trail_Performance | RSA | (see RSA detail below) |
| 29 | Search_Exact_Trail-Running_US | Trail_Terrain | Keyword | [mountain running shoes], Exact, ENABLED |
| 30 | Search_Exact_Trail-Running_US | Trail_Terrain | Keyword | [rocky trail shoes], Exact, ENABLED |
| 31 | Search_Exact_Trail-Running_US | Trail_Terrain | Keyword | [waterproof trail shoes], Exact, ENABLED |
| 32 | Search_Exact_Trail-Running_US | Trail_Terrain | RSA | (see RSA detail below) |

**Campaign 5: Search_Exact_Competitor-Nike_US** (Competitor targeting)

| Row | Campaign | Ad Group | Row Type | Key Data |
|-----|----------|----------|----------|----------|
| 33 | Search_Exact_Competitor-Nike_US | Nike_Comparison | Keyword | [nike running shoes alternative], Exact, ENABLED |
| 34 | Search_Exact_Competitor-Nike_US | Nike_Comparison | Keyword | [shoes like nike pegasus], Exact, ENABLED |
| 35 | Search_Exact_Competitor-Nike_US | Nike_Comparison | Keyword | [nike vs speedrunner], Exact, ENABLED |
| 36 | Search_Exact_Competitor-Nike_US | Nike_Comparison | RSA | (see RSA detail below) |
| 37 | Search_Exact_Competitor-Nike_US | Nike_Switchers | Keyword | [switch from nike running shoes], Exact, ENABLED |
| 38 | Search_Exact_Competitor-Nike_US | Nike_Switchers | Keyword | [better than nike running], Exact, ENABLED |
| 39 | Search_Exact_Competitor-Nike_US | Nike_Switchers | Keyword | [nike running shoes problems], Exact, ENABLED |
| 40 | Search_Exact_Competitor-Nike_US | Nike_Switchers | RSA | (see RSA detail below) |

### RSA Detail: Row 12 (RunShoes_Price-Intent)

This shows how one RSA row fills all 26 columns:

| Column | Value |
|--------|-------|
| 1. Campaign | Search_Exact_Running-Shoes_US |
| 2. Ad Group | RunShoes_Price-Intent |
| 3. RSA Name | Price-Intent_Authority |
| 4. Final URL | https://speedrunner.com/running-shoes/sale |
| 5. Headline 1 | {KeyWord:Running Shoes} |
| 6. Headline 2 | Running Shoes from $59 |
| 7. Headline 3 | Save 30% - Spring Sale |
| 8. Headline 4 | 4.8 Stars from 12K Runners |
| 9. Headline 5 | End Knee Pain on Your Runs |
| 10. Headline 6 | Free Returns - 60 Days |
| 11. Headline 7 | Ships Today - Free Over $75 |
| 12. Headline 8 | 12,000+ Runners Trust Us |
| 13. Headline 9 | Spring Collection In Stock |
| 14. Headline 10 | Engineered for Your Best Mile |
| 15. Headline 11 | (empty - using 10 headlines) |
| 16. Headline 12 | (empty) |
| 17. Headline 13 | (empty) |
| 18. Headline 14 | (empty) |
| 19. Headline 15 | (empty) |
| 20. Description 1 | Shop performance running shoes built for every distance. 4.8 stars from 12000+ runners. |
| 21. Description 2 | Patented arch support technology reduces knee strain by 40%. Tested on 50K+ miles. |
| 22. Description 3 | Order today for free 2-day shipping. Easy 60-day returns if they're not perfect. |
| 23. Description 4 | Join 12,000+ runners who switched to SpeedRunner. Average review: 4.8/5 stars. |
| 24. Path 1 | Running-Shoes |
| 25. Path 2 | Sale |
| 26. Ad Status | ENABLED |

**Note**: This RSA uses 10 headlines (Google's 2025 recommended sweet spot) rather than filling all 15 slots. Headlines 11-15 are left empty. Only fill those slots when you have 15+ candidates scoring 70+ on the scoring rubric.

---

## Tips

- Fill campaigns top-down: Campaign row first, then ad group rows, then keyword/ad rows
- Leave cells empty (not "N/A") when a column doesn't apply to that entity type
- Use the match type symbols: [exact], "phrase", +broad (or no modifier for broad)
- Validate in Google Ads Editor before pushing live - it will flag errors before upload
- Save a master copy before each import in case you need to roll back

---

## Worked Example

**Scenario**: DTC ceramic coating brand. 5 campaigns, building the full hierarchy. Monthly budget: $22K.

See the "Complete Sequential Example" section above for the fully worked 40-row campaign structure with 5 campaigns, 10 ad groups, 30 keywords, and 10 RSAs - including a detailed 26-column RSA breakdown for the RunShoes_Price-Intent ad group (Row 12).

The example demonstrates:
- Campaign naming convention: `Search_Exact_Brand_US`, `Search_Phrase_Running-Shoes_US`
- Ad group naming: intent-based (`Price-Intent`, `Problem-Intent`, `Research-Phrase`)
- Keyword formatting: `[exact match]`, `"phrase match"`
- RSA structure: DKI Headline 1 + 9 strategic headlines + 4 descriptions
- How rows nest: Campaign -  Ad Group -  Keywords + RSAs

### Common Pitfall Example

**Wrong**: Creating one giant campaign with all keywords in a single ad group
```
Search_All_Products_US / All_Keywords / [ceramic coating], [car wax], "best paint protection", ...
```

**Right**: Separating by match type, theme, and intent
```
Search_Exact_Brand_US / Brand_Core / [speedrunner shoes], [buy speedrunner], ...
Search_Exact_Running-Shoes_US / RunShoes_Problem-Intent / [running shoes for flat feet], ...
Search_Phrase_Running-Shoes_US / RunShoes_Research-Phrase / "best running shoes", ...
```

The separation allows different bid strategies per campaign, different RSA messaging per ad group, and clean performance data per intent cluster.

---

## Your Turn

1. List your campaigns using the naming convention: `[Network]_[Match]_[Theme]_[Geo]`
2. Under each campaign, list 2-3 ad groups by intent cluster
3. Under each ad group, add 3-5 keywords in the correct match type format
4. Create one RSA per ad group using the 26-column format
5. Export as CSV (UTF-8) and import to Google Ads Editor

**Validation before upload**:
- [ ] Every headline is 30 characters or fewer
- [ ] Every description is 90 characters or fewer
- [ ] Headline 1 uses DKI format with fallback under 21 characters
- [ ] No duplicate headlines within the same ad group
- [ ] Campaign names follow the naming convention
- [ ] CSV has exactly 26 columns per RSA row

---

## Interpretation Guide

| Upload Error | What It Means | Fix |
|-------------|--------------|-----|
| "Headline exceeds character limit" | One or more headlines over 30 chars | Count every character including spaces - shorten to 30 |
| "Invalid DKI syntax" | Headline 1 format is wrong | Must be exactly `{KeyWord:Fallback}` with capital K and W |
| "Duplicate ad in ad group" | Two RSAs have identical content | Differentiate headlines between RSA_1, RSA_2, RSA_3 |
| "Invalid match type" | Keyword format is wrong | Use [brackets] for exact, "quotes" for phrase, no symbols for broad |
| Import succeeds but ads disapproved | Policy violation in copy | Check for superlatives ("best"), unsubstantiated claims, or trademark issues |

---

**Connected to**: Module 1 (Campaign Architecture), Module 3 (RSA System), Module 5 (Match Strategy)


# RSA Score Calculator Template

**Purpose**: Score RSA headline candidates systematically using the 6-criterion matrix. Ensures only headlines scoring 70+ make it into your RSAs.

---

## Instructions

1. Enter your ad group theme and target keyword at the top
2. List all 25 headline candidates in the left column
3. Score each headline on all 6 criteria (0-100 scale per criterion, weighted)
4. Total score auto-calculates based on weights
5. Sort by total score, select top 15 with score 70+
6. Verify angle diversity in final selection

---

## Scoring Matrix (100-Point Rubric)

| Criterion | Weight | 0 (Fail) | 1-15 (Weak) | 15-25 (Solid) | 25-30 (Excellent) |
|-----------|--------|----------|-------------|---------------|-------------------|
| 3-Rule Filter (30%) | 30 | Fails any rule (auto-zero) | Passes 1 of 3 rules | Passes 2 of 3 rules | Passes all 3: Visualizable + Falsifiable + Unique |

| Criterion | Weight | 0-5 (Poor) | 5-10 (Below Avg) | 10-15 (Good) | 15-20 (Excellent) |
|-----------|--------|-----------|-------------------|--------------|-------------------|
| Keyword Relevance (20%) | 20 | Doesn't match search intent | Loosely related | Matches intent | Precisely mirrors the search query + includes keyword |

| Criterion | Weight | 0-4 (Poor) | 4-8 (Below Avg) | 8-12 (Good) | 12-15 (Excellent) |
|-----------|--------|-----------|-------------------|--------------|-------------------|
| Clarity (15%) | 15 | Confusing or ambiguous | Requires re-reading | Clear on first read | Instantly understood in under 2 seconds |
| Proofability (15%) | 15 | No specifics, generic | Vague benefit claim | Includes one number or detail | Specific number + concrete verifiable proof |

| Criterion | Weight | 0-3 (Poor) | 3-5 (Below Avg) | 5-8 (Good) | 8-10 (Excellent) |
|-----------|--------|-----------|-------------------|--------------|-------------------|
| Uniqueness (10%) | 10 | Same angle as 3+ other headlines | Same angle as 1-2 others | Different wording, similar angle | Completely unique angle in this RSA |
| CTR Potential (10%) | 10 | No compelling reason to click | Mild interest | Triggers curiosity or desire | Triggers urgency, fear, relief, or strong desire |

**Formula**: Total Score = 3-Rule Filter (/30) + Keyword Relevance (/20) + Clarity (/15) + Proofability (/15) + Uniqueness (/10) + CTR Potential (/10)

**The 3-Rule Filter is the gatekeeper:**
- **Visualizable**: Can the reader picture a specific scene or outcome? "Save Money" = 0. "Cut CPA by 67% This Month" = 30.
- **Falsifiable**: Could this claim be proven wrong? "Great Quality" = 0. "4.8 Stars from 12,000 Reviews" = 30.
- **Unique**: Would only your brand say this? "Shop Now" = 0. "Built from 90+ Search Account Data" = 30.

**Banned phrases (auto-zero on 3-Rule Filter):** "best in class", "world-class", "premium quality", "top-notch", "shop now", "learn more", "get started", "click here", "amazing results", "incredible value", "perfect solution"

---

## Template

### Ad Group: _______________
### Target Keyword: _______________

| # | Headline Candidate | Chars | Angle | 3-Rule /30 | Relevance /20 | Clarity /15 | Proof /15 | Unique /10 | CTR /10 | **TOTAL /100** | Pass? |
|---|-------------------|-------|-------|-----------|---------------|-------------|-----------|------------|---------|----------------|-------|
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### Selection Summary

**Target: 8-10 headlines** (Google's 2025 recommended sweet spot - not necessarily all 15 slots)

Only push to 15 when you genuinely have 15 headlines scoring 70+. For most ad groups, 8-10 strong headlines outperform 15 mediocre ones.

| Angle | Headlines Selected | Target |
|-------|-------------------|--------|
| Price/Value | /3-4 | 3-4 from strongest angle |
| Quality/Proof | /2-3 | 2-3 each remaining angle |
| Problem/Solution | /2-3 | |
| Social Proof | /2-3 | |
| Urgency | /2-3 | |
| Convenience | /2-3 | |

**Google's Headline Tier System Check** (ensure you cover all applicable tiers):

| Tier | Count | Purpose | Covered? |
|------|-------|---------|----------|
| Tier 1: Primary Keywords | 2-3 | Exact/close variant of primary keyword, front-loaded in first 20 chars | [ ] |
| Tier 2: Benefit-Focused | 2-3 | Value proposition, no keyword required | [ ] |
| Tier 3: Brand + Trust | 2-3 | Brand name, trust indicators, social proof | [ ] |
| Tier 4: Urgency/Seasonal | 1-2 | Time-sensitive messaging (when applicable) | [ ] |
| Tier 5: Long-Tail Specific | 1-2 | Niche searches, specific attributes | [ ] |

**Diversity Check:**
- [ ] At least 1 headline with specific number/percentage
- [ ] At least 1 headline under 20 characters (for tight combinations)
- [ ] At least 1 headline containing primary keyword (or DKI in Headline 1)
- [ ] At least 4 distinct angles represented
- [ ] No single angle has more than 4 headlines
- [ ] Primary keyword appears in 2-3 headlines max (not all - keyword stuffing hurts RSA performance)
- [ ] Each headline communicates unique value (no synonym swapping: "buy" / "purchase" / "shop")

---

## Worked Example (Completed)

### Ad Group: Supplements_Protein-Powder_Price
### Target Keyword: "buy protein powder online"

| # | Headline Candidate | Chars | Angle | 3-Rule | Rel | Clarity | Proof | Uniq | CTR | **Total** | Pass? |
|---|-------------------|-------|-------|--------|-----|---------|-------|------|-----|-----------|-------|
| 1 | Protein Powder from $24.99 | 26 | Price | 26 | 18 | 14 | 13 | 8 | 8 | **87** | Yes |
| 2 | Save 25% - Free Shaker | 22 | Price | 24 | 15 | 13 | 12 | 7 | 8 | **79** | Yes |
| 3 | Shop Protein Powder Now | 23 | Generic | 0 | 16 | 13 | 2 | 3 | 5 | **39** | No |
| 4 | 4.9 Stars from 8,400 Reviews | 28 | Proof | 28 | 14 | 14 | 15 | 9 | 7 | **87** | Yes |
| 5 | NSF Certified for Sport | 23 | Trust | 22 | 12 | 14 | 14 | 9 | 6 | **77** | Yes |
| 6 | 30g Protein Per Scoop | 21 | Spec | 24 | 17 | 15 | 14 | 7 | 6 | **83** | Yes |
| 7 | Free Shipping Over $49 | 22 | Price | 20 | 13 | 14 | 12 | 6 | 7 | **72** | Yes |
| 8 | Used by 200+ D1 Athletes | 25 | Proof | 27 | 13 | 13 | 15 | 10 | 8 | **86** | Yes |
| 9 | Zero Artificial Sweeteners | 26 | Quality | 22 | 14 | 14 | 13 | 8 | 6 | **77** | Yes |
| 10 | Buy Protein Powder Online | 25 | Keyword | 8 | 20 | 13 | 3 | 3 | 4 | **51** | No |
| 11 | Mixes in Under 10 Seconds | 25 | Conv. | 24 | 12 | 14 | 13 | 9 | 7 | **79** | Yes |
| 12 | 90-Day Money Back Guarantee | 27 | Trust | 20 | 11 | 14 | 12 | 6 | 7 | **70** | Yes |
| 13 | Best Protein Powder 2026 | 24 | Generic | 0 | 16 | 12 | 2 | 3 | 5 | **38** | No |
| 14 | Grass-Fed Whey Isolate | 22 | Quality | 24 | 16 | 14 | 13 | 8 | 6 | **81** | Yes |
| 15 | Subscribe   Save 15% Extra | 26 | Price | 22 | 14 | 13 | 12 | 7 | 8 | **76** | Yes |

**Why each rejection failed:**

- **#3 "Shop Protein Powder Now"**: Auto-fails 3-Rule Filter. Not Visualizable (generic action), not Falsifiable (no verifiable claim), not Unique (any supplement store could say this). Score: 0/30 on the gatekeeper criterion.
- **#10 "Buy Protein Powder Online"**: Barely passes 3-Rule (the keyword itself is slightly falsifiable since you can buy online), but the headline adds zero value beyond restating the search query. Low uniqueness, zero proof. Score 51 - below 70 threshold.
- **#13 "Best Protein Powder 2026"**: Auto-fails 3-Rule. "Best" is not Falsifiable (subjective), not Unique (everyone claims it). Banned phrase territory.

### Selection Summary for This Example

**Target: 10 headlines** (we have 12 passing 70+, strong enough for 10)

| Angle | Headlines Selected | Target |
|-------|-------------------|--------|
| Price/Value | #1, #2, #7, #15 = 4 | 3-4 |
| Quality/Proof | #4, #8, #5 = 3 | 2-3 |
| Product Spec | #6, #14 = 2 | 2-3 |
| Convenience | #11 = 1 | 1-2 |

**Dropped from final 10**: #12 (90-Day Guarantee) and #9 (Zero Artificial Sweeteners) - both score 70+ but the Price and Proof angles are stronger for this price-intent ad group. If this were a quality-intent ad group, #9 and #14 would be prioritized instead.

**Tier Coverage Check:**

| Tier | Count | Headlines | Covered? |
|------|-------|---------|----------|
| Tier 1: Primary Keywords | 2 | #1, #6 | [x] |
| Tier 2: Benefit-Focused | 3 | #11, #9/14 | [x] |
| Tier 3: Brand + Trust | 3 | #4, #8, #5 | [x] |
| Tier 4: Urgency/Seasonal | 1 | #2 | [x] |
| Tier 5: Long-Tail Specific | 1 | #14 | [x] |

---

## Your Turn

### Ad Group: _______________
### Target Keyword: _______________

Score 15-25 headline candidates below. Only headlines scoring 70+ make it into your RSA.

| # | Headline Candidate | Chars | Angle | 3-Rule /30 | Relevance /20 | Clarity /15 | Proof /15 | Unique /10 | CTR /10 | **TOTAL /100** | Pass? |
|---|-------------------|-------|-------|-----------|---------------|-------------|-----------|------------|---------|----------------|-------|
| 1 | _(start with your strongest price headline)_ | | | | | | | | | | |
| 2 | | | | | | | | | | | |
| 3 | | | | | | | | | | | |
| 4 | _(include at least one social proof headline)_ | | | | | | | | | | |
| 5 | | | | | | | | | | | |
| 6 | | | | | | | | | | | |
| 7 | | | | | | | | | | | |
| 8 | _(include at least one trust/certification headline)_ | | | | | | | | | | |
| 9 | | | | | | | | | | | |
| 10 | | | | | | | | | | | |
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| 12 | | | | | | | | | | | |
| 13 | | | | | | | | | | | |
| 14 | | | | | | | | | | | |
| 15 | | | | | | | | | | | |

**Quick 3-Rule Check** (apply to every headline before scoring):
- Can the reader picture a specific scene or outcome? If no -  0/30
- Could this claim be proven wrong with data? If no -  0/30
- Would only YOUR brand say this? If no -  0/30

---

## Interpretation Guide

| Total Score | Rating | Action |
|-------------|--------|--------|
| 85-100 | Exceptional | Auto-include. Strong RSA anchor headline. |
| 70-84 | Solid | Include. Good RSA contributor. |
| 55-69 | Borderline | Rewrite. Has potential but needs stronger proof or specificity. |
| Below 55 | Reject | Kill it. Don't force weak headlines into your RSA. |

**If fewer than 8 headlines score 70+**: Your headline pool is too weak. Go back to Module 3 angle development and generate more candidates. Never fill RSA slots with sub-70 headlines just to hit 15.

---

## Export to Google Sheets

Create a spreadsheet with these columns and formulas:

| Column | Header | Formula (row 2) |
|--------|--------|-----------------|
| A | # | (manual) |
| B | Headline Candidate | (manual) |
| C | Chars | `=LEN(B2)` |
| D | Angle | (manual) |
| E | 3-Rule /30 | (manual) |
| F | Relevance /20 | (manual) |
| G | Clarity /15 | (manual) |
| H | Proof /15 | (manual) |
| I | Unique /10 | (manual) |
| J | CTR /10 | (manual) |
| K | TOTAL | `=SUM(E2:J2)` |
| L | Pass? | `=IF(K2 =70,"Yes","No")` |
| M | Char Warning | `=IF(C2 30,"OVER 30","OK")` |

**Conditional formatting**:
- Column K: Green if  =70, Red if  55, Yellow if 55-69
- Column L: Green for "Yes", Red for "No"
- Column C: Red if  30 (Google Ads headline limit)

---

**Connected to**: Module 3 (The RSA System), Module 4 (Emotional Truth in RSAs)


# Search Term Cluster Analysis Template

**Purpose**: Cluster search terms by n-gram themes, score each cluster, and generate action recommendations. The core tool for weekly search term mining (Module 6).

---

## Instructions

1. Export search terms from Google Ads (last 7-30 days, min 2 impressions)
2. Paste into the "Raw Data" section (cap at 5,000 terms per batch for performance)
3. Run the n-gram extraction (manual or scripted)
4. Group terms by shared n-grams into clusters. For algorithmic clustering, use Jaccard similarity with a 0.4 threshold: `Jaccard = (Words in Common) / (Total Unique Words)`. The highest-volume term in each cluster becomes the anchor.
5. Score each cluster by performance
6. Action each cluster based on the decision matrix
7. Check for cannibalization: any cluster that spans 2+ campaigns signals keyword overlap

---

## Step 1: Raw Data Import

| Search Term | Impressions | Clicks | Conversions | Cost | Revenue |
|-------------|-------------|--------|-------------|------|---------|
| | | | | | |
| | | | | | |
| (paste exported data here) | | | | | |

---

## Step 2: N-Gram Extraction

### 1-Word N-Grams (Top 20 by frequency)

| N-Gram | Frequency | Total Impressions | Total Clicks | Total Conversions | Cluster CPA | Action |
|--------|-----------|-------------------|--------------|-------------------|-------------|--------|
| | | | | | | |
| | | | | | | |

### 2-Word N-Grams (Top 20 by frequency)

| N-Gram | Frequency | Total Impressions | Total Clicks | Total Conversions | Cluster CPA | Action |
|--------|-----------|-------------------|--------------|-------------------|-------------|--------|
| | | | | | | |
| | | | | | | |

### 3-Word N-Grams (Top 10 by frequency)

| N-Gram | Frequency | Total Impressions | Total Clicks | Total Conversions | Cluster CPA | Action |
|--------|-----------|-------------------|--------------|-------------------|-------------|--------|
| | | | | | | |
| | | | | | | |

---

## Step 3: Cluster Scoring

| Cluster Theme | Terms in Cluster | Impressions | Clicks | Conversions | Cost | CPA | ROAS | CTR | Score |
|---------------|-----------------|-------------|--------|-------------|------|-----|------|-----|-------|
| | | | | | | | | | |
| | | | | | | | | | |
| | | | | | | | | | |

### Scoring Formula

Score = (Conversion Rate x 40) + (ROAS Index x 30) + (Volume Index x 20) + (CTR Index x 10)

Where:
- Conversion Rate = cluster conversions / cluster clicks
- ROAS Index = cluster ROAS / account average ROAS (capped at 2.0)
- Volume Index = cluster impressions / total impressions (capped at 0.5)
- CTR Index = cluster CTR / account average CTR (capped at 2.0)

---

## Step 4: Action Matrix

| Cluster Performance | Action | Priority |
|---------------------|--------|----------|
| High conversions + good CPA | Add as exact match keywords. Create dedicated ad group if 5+ terms. | Immediate |
| High clicks + zero conversions | Add all terms as negative keywords. | Immediate |
| High impressions + low CTR ( 1%) | Review ad relevance. Improve copy or add as negative. | This week |
| Low impressions + converting | Monitor for 2 more weeks. Emerging opportunity. | Watch |
| High cost + low ROAS | Add as negatives if CPA   3x target. Reduce bids if marginal. | This week |
| Brand terms in non-brand campaigns | Add as negatives in non-brand. Verify brand campaign captures. | Immediate |

---

## Step 5: Weekly Action Summary

**Date**: _______________

| Action Type | Count | Details |
|-------------|-------|---------|
| New exact match keywords added | | |
| New phrase match keywords added | | |
| New negative keywords added | | |
| New ad groups created | | |
| Terms flagged for monitoring | | |
| Estimated monthly waste eliminated | $ | |
| Estimated monthly revenue opportunity | $ | |

---

## Step-by-Step Jaccard Clustering Instructions

When you have more than 100 search terms, n-gram frequency alone misses semantic clusters. Jaccard similarity catches them. Here's the manual process (for under 1,000 terms - see Module 6 for when to use n-gram shortcut vs. full Jaccard):

**Step 1: Tokenize each search term**

Remove stop words (the, and, for, with, how, what, is, a, an, to, in, on, of, it, my, your, this, that, do, does, can, i, me, we, they) and split into individual words.

| Search Term | After Stop-Word Removal |
|-------------|------------------------|
| "best running shoes for flat feet" | {best, running, shoes, flat, feet} |
| "running shoes flat feet support" | {running, shoes, flat, feet, support} |
| "how to choose running shoes" | {choose, running, shoes} |

**Step 2: Calculate Jaccard similarity between term pairs**

```
Jaccard(A, B) = |A intersect B| / |A union B|
```

Example calculation:
- Term A: {best, running, shoes, flat, feet} (5 words)
- Term B: {running, shoes, flat, feet, support} (5 words)
- Intersection: {running, shoes, flat, feet} = 4 words
- Union: {best, running, shoes, flat, feet, support} = 6 words
- Jaccard = 4/6 = 0.667 --  ABOVE 0.4 threshold --  Same cluster

Another pair:
- Term A: {best, running, shoes, flat, feet} (5 words)
- Term C: {choose, running, shoes} (3 words)
- Intersection: {running, shoes} = 2 words
- Union: {best, flat, feet, choose, running, shoes} = 6 words
- Jaccard = 2/6 = 0.333 --  BELOW 0.4 threshold --  Different clusters

**Step 3: Anchor-based assignment**

Sort all terms by impressions (descending). The highest-volume term becomes Cluster 1's anchor. Compare every remaining unassigned term against the anchor only. Assign if Jaccard  = 0.4. Move to the next unassigned term for Cluster 2, repeat.

**Practical tip for spreadsheets**: You don't need to calculate all pairwise comparisons. Process anchors one at a time. For 200 search terms, you'll typically get 15-30 clusters in about 20 minutes using a spreadsheet with TEXTJOIN and MATCH formulas for word overlap counting.

---

## Worked Example: Full Clustering (30 Search Terms)

**Account**: Online pillow store selling memory foam pillows. Last 7 days of search term data.

### Raw Data

| # | Search Term | Impr | Clicks | Conv | Cost | Revenue |
|---|-------------|------|--------|------|------|---------|
| 1 | memory foam pillow | 2,840 | 312 | 18 | $624 | $1,602 |
| 2 | best memory foam pillow | 1,920 | 198 | 11 | $396 | $979 |
| 3 | memory foam pillow for side sleepers | 1,680 | 187 | 14 | $374 | $1,246 |
| 4 | pillow for neck pain | 1,540 | 168 | 9 | $336 | $801 |
| 5 | best pillow for neck pain | 1,320 | 142 | 8 | $284 | $712 |
| 6 | memory foam pillow review | 1,100 | 89 | 2 | $178 | $178 |
| 7 | cooling memory foam pillow | 980 | 112 | 7 | $224 | $623 |
| 8 | gel memory foam pillow | 870 | 94 | 6 | $188 | $534 |
| 9 | side sleeper pillow | 820 | 78 | 5 | $156 | $445 |
| 10 | adjustable loft pillow | 760 | 82 | 6 | $164 | $534 |
| 11 | pillow for shoulder pain | 690 | 71 | 3 | $142 | $267 |
| 12 | memory foam pillow sale | 640 | 74 | 4 | $148 | $356 |
| 13 | cheap memory foam pillow | 580 | 62 | 0 | $124 | $0 |
| 14 | free pillow sample | 520 | 48 | 0 | $96 | $0 |
| 15 | best pillow 2026 | 480 | 51 | 3 | $102 | $267 |
| 16 | memory foam pillow king size | 440 | 46 | 3 | $92 | $267 |
| 17 | pillow for snoring | 420 | 38 | 1 | $76 | $89 |
| 18 | memory foam pillow amazon | 380 | 42 | 0 | $84 | $0 |
| 19 | bamboo pillow vs memory foam | 340 | 36 | 2 | $72 | $178 |
| 20 | how to wash memory foam pillow | 320 | 28 | 0 | $56 | $0 |
| 21 | pillow for back sleeper | 290 | 31 | 2 | $62 | $178 |
| 22 | orthopedic pillow for neck | 260 | 27 | 2 | $54 | $178 |
| 23 | memory foam pillow too hot | 240 | 22 | 0 | $44 | $0 |
| 24 | pillow causing neck pain | 220 | 19 | 0 | $38 | $0 |
| 25 | shredded memory foam pillow | 200 | 24 | 2 | $48 | $178 |
| 26 | memory foam pillow made in usa | 180 | 21 | 2 | $42 | $178 |
| 27 | pillow jobs near me | 160 | 14 | 0 | $28 | $0 |
| 28 | foam pillow wholesale | 140 | 8 | 0 | $16 | $0 |
| 29 | diy memory foam pillow | 120 | 6 | 0 | $12 | $0 |
| 30 | tempur pedic pillow alternative | 100 | 12 | 1 | $24 | $89 |

### Clustering Result (6 Clusters)

**Cluster 1: Core Memory Foam** (Anchor: #1 "memory foam pillow")
Terms: #1, #2, #6, #7, #8, #12, #16, #25, #26
- Impressions: 9,830 | Clicks: 1,017 | Conversions: 54 | Cost: $2,034 | Revenue: $4,802
- Cluster CPA: $37.67 | Cluster ROAS: 2.36x | CTR: 10.3%
- **Score: 78** | **Action: KEEP - core performing cluster. Add #7 "cooling memory foam pillow" as exact match in dedicated ad group (high CVR).**

**Cluster 2: Pain/Problem** (Anchor: #4 "pillow for neck pain")
Terms: #4, #5, #11, #17, #22, #24
- Impressions: 4,450 | Clicks: 465 | Conversions: 23 | Cost: $930 | Revenue: $2,047
- Cluster CPA: $40.43 | Cluster ROAS: 2.20x | CTR: 10.4%
- **Score: 72** | **Action: KEEP. Create dedicated "pain solution" ad group with problem/solution RSA angles.**

**Cluster 3: Side/Back Sleeper** (Anchor: #3 "memory foam pillow for side sleepers")
Terms: #3, #9, #10, #21
- Impressions: 3,550 | Clicks: 378 | Conversions: 27 | Cost: $756 | Revenue: $2,403
- Cluster CPA: $28.00 | Cluster ROAS: 3.18x | CTR: 10.6%
- **Score: 89** | **Action: PRIORITY - best ROAS cluster. Increase bids. Create dedicated ad groups per sleep position.**

**Cluster 4: Waste - Free/Cheap/DIY** (Anchor: #13 "cheap memory foam pillow")
Terms: #13, #14, #29
- Impressions: 1,220 | Clicks: 116 | Conversions: 0 | Cost: $232 | Revenue: $0
- Cluster CPA: N/A | Cluster ROAS: 0x | CTR: 9.5%
- **Score: 0** | **Action: ADD NEGATIVES. "free" (broad), "cheap" (broad), "diy" (broad). Estimated savings: $232/week = $928/month.**

**Cluster 5: Waste - Wrong Intent** (Anchor: #20 "how to wash memory foam pillow")
Terms: #18, #20, #23, #27, #28
- Impressions: 1,240 | Clicks: 114 | Conversions: 0 | Cost: $228 | Revenue: $0
- Cluster CPA: N/A | Cluster ROAS: 0x | CTR: 9.2%
- **Score: 0** | **Action: ADD NEGATIVES. "amazon" (exact), "wash" (broad), "jobs" (broad), "wholesale" (broad), "too hot" (phrase). Estimated savings: $228/week = $912/month.**

**Cluster 6: Competitor/Comparison** (Anchor: #19 "bamboo pillow vs memory foam")
Terms: #15, #19, #30
- Impressions: 920 | Clicks: 99 | Conversions: 6 | Cost: $198 | Revenue: $534
- Cluster CPA: $33.00 | Cluster ROAS: 2.70x | CTR: 10.8%
- **Score: 68** | **Action: KEEP. Create competitor comparison ad group. Add #30 as exact match for competitor campaign.**

### Weekly Action Summary

| Action Type | Count | Details |
|-------------|-------|---------|
| New exact match keywords | 3 | cooling memory foam pillow, adjustable loft pillow, tempur pedic pillow alternative |
| New ad groups recommended | 3 | Cooling/Gel, Sleep Position, Competitor Comparison |
| New negative keywords | 8 | free, cheap, diy, amazon, wash, jobs, wholesale, "too hot" |
| Estimated monthly waste eliminated | $1,840 | Clusters 4 + 5 combined |
| Estimated monthly revenue opportunity | $1,200+ | From dedicated ad groups for Cluster 3 sleep position terms |

---

## Your Turn

Follow the same process with your own account data:

1. Export search terms from Google Ads (last 7-30 days, min 2 impressions)
2. Paste into the Raw Data section
3. Extract 1-word, 2-word, and 3-word n-grams
4. Cluster terms using the Jaccard method (0.4 threshold)
5. Score each cluster using the formula
6. Action each cluster using the decision matrix

Start with the Weekly Action Summary and fill in the numbers as you complete each step.

---

## Interpretation Guide

| Cluster Pattern | What It Means | Action |
|----------------|--------------|--------|
| Score 80+ with high ROAS | Top-performing cluster - your best keywords live here | Create dedicated ad group, increase bids, write cluster-specific RSAs |
| Score 50-79 with decent volume | Solid performer - worth keeping and optimizing | Monitor for 2 more weeks, consider dedicated ad group if 5+ terms |
| Score 0 with zero conversions | Pure waste - these terms will never convert | Add all terms as negative keywords immediately |
| High impressions, low CTR ( 1%) | Your ads don't match this search intent | Either improve ad copy for this intent or add as negatives |
| Low volume but converting | Emerging opportunity - too early to judge | Monitor for 2 more weeks before making structural changes |
| Cluster spans 2+ campaigns | Keyword cannibalization - campaigns competing against each other | Consolidate into one campaign or add cross-campaign negatives |
| Brand terms in non-brand campaigns | Budget leaking from prospecting to branded traffic | Add brand terms as negatives in non-brand campaigns |

---

**Connected to**: Module 6 (Search Term Mining), Module 9 (Negative Keyword Architecture)


# Extension Copy Template Library

**Purpose**: Pre-written templates for all 4 extension types. Fill in the blanks for your business, import to Google Ads.

---

## Sitelink Templates

### Template Structure
- **Title**: 25 characters max, benefit-focused (not page name)
- **Description Line 1**: 35 characters max
- **Description Line 2**: 35 characters max
- **Final URL**: Destination page

### 10 Sitelink Templates

| # | Title Template | Desc Line 1 | Desc Line 2 | Best For |
|---|---------------|-------------|-------------|----------|
| 1 | See [X]+ Star Reviews | [X,000]+ verified reviews | Average [X.X] out of 5 stars | Trust building |
| 2 | [Season] Sale - [X]% Off | Save on [product category] | Limited time. Ships today. | Promotions |
| 3 | Free Shipping Over $[X] | No minimum for members | Fast delivery, easy returns | Logistics |
| 4 | New [Season] Arrivals | [X]+ new styles just added | Shop the latest collection | Freshness |
| 5 | [X]-Day Free Returns | No questions asked returns | Hassle-free process | Risk reversal |
| 6 | Shop [Top Category] | Our best-selling category | [X]+ options starting at $[X] | Category driving |
| 7 | Why Choose [Brand]? | [Core differentiator] | Trusted by [X,000]+ customers | Brand building |
| 8 | Gift Guide - [Occasion] | Curated picks for [person] | Free gift wrapping available | Seasonal |
| 9 | Contact Us | [Response time] response time | Phone, email, or live chat | Support signal |
| 10 | [Loyalty Program Name] | Earn points on every order | Members save [X]% on average | Retention |

---

## Callout Templates

### Rules
- 25 characters max per callout
- No punctuation needed
- Write 10-12, Google picks best 4
- Don't repeat headline info

### 20 Callout Templates by Category

**Trust Signals:**
1. [X.X]-Star Rating
2. [X,000]+ Happy Customers
3. [X] Years in Business
4. Money-Back Guarantee
5. Verified Reviews

**Logistics:**
6. Free Shipping Over $[X]
7. Same-Day Dispatch
8. [X]-Day Returns
9. Ships to [X] Countries
10. Express Available

**Guarantees:**
11. [X]-Day Money Back
12. Lifetime Warranty
13. Price Match Promise
14. Satisfaction Guaranteed
15. Free Exchanges

**Differentiators:**
16. Made in the [Country]
17. Family-Owned Since [Year]
18. [Certification] Certified
19. Eco-Friendly Materials
20. [X]+ Awards Won

---

## Structured Snippet Templates

### Available Headers
Types, Brands, Destinations, Courses, Degree programs, Featured hotels, Insurance coverage, Models, Neighborhoods, Service catalog, Shows, Styles, Amenities

### Templates by Business Type

**E-commerce:**
- Header: Types -  [Product Type 1], [Type 2], [Type 3], [Type 4]
- Header: Brands -  [Brand 1], [Brand 2], [Brand 3], [Brand 4]
- Header: Styles -  [Style 1], [Style 2], [Style 3], [Style 4]

**Services:**
- Header: Service catalog -  [Service 1], [Service 2], [Service 3], [Service 4]
- Header: Types -  [Type 1], [Type 2], [Type 3], [Type 4]

**SaaS:**
- Header: Types -  [Plan 1], [Plan 2], [Plan 3], [Plan 4]
- Header: Service catalog -  [Feature 1], [Feature 2], [Feature 3], [Feature 4]

---

## Price Extension Templates

### Structure
- Minimum 3 items, ideally 6-8
- Each item: Header (25 chars) + Description (25 chars) + Price + Final URL

### Template

| Item Header | Description | Price Format | URL |
|-------------|-------------|-------------|-----|
| [Product/Service 1] | [Key benefit, 25 chars] | From $[X] | /[page-1] |
| [Product/Service 2] | [Key benefit, 25 chars] | From $[X] | /[page-2] |
| [Product/Service 3] | [Key benefit, 25 chars] | From $[X] | /[page-3] |
| [Product/Service 4] | [Key benefit, 25 chars] | $[X]/month | /[page-4] |
| [Product/Service 5] | [Key benefit, 25 chars] | From $[X] | /[page-5] |
| [Product/Service 6] | [Key benefit, 25 chars] | From $[X] | /[page-6] |

---

## Rotation Strategy

### Sitelinks
- Create 8-10 sitelinks
- Google rotates the best 4
- Review performance monthly
- Replace any sitelink with CTR below 2% after 30 days
- Create seasonal variants (activate/pause by date)

### Callouts
- Create 10-12 callouts
- Google selects the best 4
- Review quarterly
- Replace bottom 2 performers each quarter

### Snippets
- Create 2-3 snippet sets with different headers
- Google tests and selects the most relevant
- Review quarterly

### Price Extensions
- Update prices when they change (stale prices = disapprovals)
- Seasonal items: pause/activate by season
- Review CTR monthly - low-performing items signal wrong audience fit

---

## Worked Example

**Business**: DTC premium coffee subscription. Monthly Google Ads spend: $15K. AOV: $38. Free shipping over $50.

### Sitelinks (8 created, Google picks best 4)

| # | Title | Desc Line 1 | Desc Line 2 | URL |
|---|-------|-------------|-------------|-----|
| 1 | See 4,200+ 5-Star Reviews | Rated 4.8 out of 5 stars | From verified coffee lovers | /reviews |
| 2 | Free Shipping Over $50 | Ships within 24 hours | Roasted fresh for every order | /shipping |
| 3 | Take the Flavor Quiz | 60-sec personalized match | Find your perfect roast | /quiz |
| 4 | New Single-Origin Arrivals | 3 new origins this month | Limited small-batch roasts | /new-arrivals |
| 5 | Subscribe   Save 20% | Never run out of coffee | Cancel anytime, no commitment | /subscribe |
| 6 | Gift a Subscription | From $32/month delivered | Free gift card with message | /gifts |
| 7 | Why We Roast Fresh | Most coffee sits 3-6 months | Ours ships within 48 hours | /freshness |
| 8 | Our Sourcing Story | Direct trade, 12 countries | Meet the farmers we work with | /sourcing |

### Callouts (12 created, Google picks best 4)

1. 4.8-Star Average Rating
2. 4,200+ Verified Reviews
3. Roasted Fresh to Order
4. Free Shipping Over $50
5. Ships Within 24 Hours
6. Cancel Anytime
7. 100% Arabica Beans
8. Direct Trade Sourced
9. Small-Batch Roasted
10. 30-Day Flavor Guarantee
11. 12 Single Origins
12. Family-Owned Since 2018

### Structured Snippets

- Header: Types -  Light Roast, Medium Roast, Dark Roast, Espresso, Decaf, Cold Brew
- Header: Brands -  Ethiopian Yirgacheffe, Colombian Supremo, Guatemalan Antigua, Kenya AA

### Price Extensions

| Item Header | Description | Price | URL |
|-------------|-------------|-------|-----|
| Starter Sampler | Try 4 roasts, 3oz each | From $24 | /sampler |
| Monthly Subscription | 12oz bag, your choice | From $32/mo | /subscribe |
| Office Pack (5lb) | Bulk fresh-roasted | From $89 | /office |
| Gift Box Set | 3 origins + brewing guide | From $54 | /gifts |
| Single Origin Bag | 12oz, limited edition | From $19 | /single-origin |
| Cold Brew Concentrate | 32oz bottle, 8 servings | From $16 | /cold-brew |

### Rotation Plan

**Month 1 review**: Sitelinks #3 (Quiz) and #5 (Subscribe) have the highest CTR (3.2% and 2.8%). Sitelink #7 (Why We Roast Fresh) is at 1.1% - replace with a seasonal variant ("Summer Cold Brew Collection") next month.

**Callout note**: "Roasted Fresh to Order" and "30-Day Flavor Guarantee" consistently show. "Family-Owned Since 2018" rarely appears - may replace with "New Flavors Monthly" next quarter.

---

## Your Turn

Fill in each section with your business details. Create 8-10 sitelinks (Google picks 4), 10-12 callouts (Google picks 4), 2-3 snippet sets, and 5-6 price extension items.

Remember:
- Sitelink titles: 25 characters max, benefit-focused
- Callouts: 25 characters max, no punctuation needed
- Price extensions: update prices when they change (stale prices = disapprovals)

---

## Interpretation Guide

| Signal | What It Means | Action |
|--------|--------------|--------|
| Sitelink CTR below 2% after 30 days | Weak title or irrelevant destination | Replace title with a more specific benefit or swap the page |
| One callout never shows | Google deprioritized it for relevance | Replace with a more search-relevant callout |
| Price extensions getting low CTR | Price points may not match search intent | Check if high-price items are showing for budget-intent searches |
| Structured snippets rarely appear | Header type may not match your business well | Try a different header (e.g., switch from "Types" to "Brands") |
| Extensions show but conversion is flat | Extensions attract clicks but page doesn't convert | Ensure sitelink landing pages match the promise in the extension copy |

---

**Connected to**: Module 8 (Account-Level Extensions)


# Budget Pacing Calculator

## Purpose

Calculate optimal budget distribution across hours, days, and campaigns so you never overspend during dead hours or underspend during peak conversion windows.

---

## Worked Example

**Account**: Online supplement store, $30,000/month Google Ads budget across 5 campaigns.

### Section 1: Hourly Performance Analysis

**Data source**: Google Ads   Reports   Predefined   Time   Hour of day (last 30 days)

| Hour | Impressions | Clicks | Conversions | Cost | Revenue | CPA | ROAS | Conv Rate |
|------|-------------|--------|-------------|------|---------|-----|------|-----------|
| 12 AM | 1,240 | 68 | 2 | $136 | $156 | $68.00 | 1.15x | 2.9% |
| 1 AM | 980 | 52 | 1 | $104 | $89 | $104.00 | 0.86x | 1.9% |
| 2 AM | 720 | 38 | 1 | $76 | $67 | $76.00 | 0.88x | 2.6% |
| 3 AM | 580 | 31 | 0 | $62 | $0 | N/A | 0.00x | 0.0% |
| 4 AM | 640 | 34 | 1 | $68 | $78 | $68.00 | 1.15x | 2.9% |
| 5 AM | 1,120 | 61 | 2 | $122 | $178 | $61.00 | 1.46x | 3.3% |
| 6 AM | 2,480 | 142 | 6 | $284 | $534 | $47.33 | 1.88x | 4.2% |
| 7 AM | 3,860 | 218 | 11 | $436 | $979 | $39.64 | 2.25x | 5.0% |
| 8 AM | 5,240 | 312 | 18 | $624 | $1,602 | $34.67 | 2.57x | 5.8% |
| 9 AM | 6,180 | 368 | 22 | $736 | $1,958 | $33.45 | 2.66x | 6.0% |
| 10 AM | 6,840 | 402 | 26 | $804 | $2,314 | $30.92 | 2.88x | 6.5% |
| 11 AM | 7,120 | 418 | 28 | $836 | $2,492 | $29.86 | 2.98x | 6.7% |
| 12 PM | 6,920 | 408 | 25 | $816 | $2,225 | $32.64 | 2.73x | 6.1% |
| 1 PM | 6,540 | 386 | 24 | $772 | $2,136 | $32.17 | 2.77x | 6.2% |
| 2 PM | 6,280 | 372 | 22 | $744 | $1,958 | $33.82 | 2.63x | 5.9% |
| 3 PM | 5,960 | 348 | 20 | $696 | $1,780 | $34.80 | 2.56x | 5.7% |
| 4 PM | 5,680 | 332 | 19 | $664 | $1,691 | $34.95 | 2.55x | 5.7% |
| 5 PM | 5,420 | 318 | 18 | $636 | $1,602 | $35.33 | 2.52x | 5.7% |
| 6 PM | 5,860 | 342 | 21 | $684 | $1,869 | $32.57 | 2.73x | 6.1% |
| 7 PM | 6,240 | 368 | 24 | $736 | $2,136 | $30.67 | 2.90x | 6.5% |
| 8 PM | 5,980 | 352 | 22 | $704 | $1,958 | $32.00 | 2.78x | 6.3% |
| 9 PM | 4,860 | 286 | 16 | $572 | $1,424 | $35.75 | 2.49x | 5.6% |
| 10 PM | 3,240 | 188 | 9 | $376 | $801 | $41.78 | 2.13x | 4.8% |
| 11 PM | 2,120 | 118 | 5 | $236 | $445 | $47.20 | 1.89x | 4.2% |
| **Avg** | **4,258** | **247** | **14** | **$494** | **$1,278** | **$35.29** | **2.41x** | **5.1%** |

### Hourly Bid Adjustment Calculation

**Formula**: Bid Adjustment % = ((Hour Block ROAS - Average ROAS) / Average ROAS) x 100

Round to nearest 10%. Cap at +30% / -50%.

| Hour Block | ROAS | vs. Average (2.41x) | Raw Adjustment | Recommended Adjustment |
|------------|------|---------------------|----------------|----------------------|
| 12 AM - 5 AM | 0.87x | -63.9% | -64% | **-50%** (cap) |
| 6 AM - 9 AM | 2.39x | -0.8% | -1% | **0%** (within noise) |
| 10 AM - 1 PM | 2.84x | +17.8% | +18% | **+20%** |
| 2 PM - 5 PM | 2.56x | +6.2% | +6% | **+10%** |
| 6 PM - 9 PM | 2.73x | +13.3% | +13% | **+10%** |
| 10 PM - 11 PM | 2.00x | -17.0% | -17% | **-20%** |

**Action**: Apply -50% bid adjustment 12 AM - 5 AM. This hour block has a 0.87x ROAS (below breakeven) and saves approximately $568/month. Peak performance 10 AM - 1 PM gets +20%.

---

### Section 2: Day-of-Week Performance

**Data source**: Google Ads   Reports   Predefined   Time   Day of week (last 30 days)

| Day | Impressions | Clicks | Conversions | Cost | Revenue | CPA | ROAS | Conv Rate |
|-----|-------------|--------|-------------|------|---------|-----|------|-----------|
| Monday | 15,820 | 924 | 52 | $1,848 | $4,628 | $35.54 | 2.50x | 5.6% |
| Tuesday | 16,240 | 948 | 56 | $1,896 | $4,984 | $33.86 | 2.63x | 5.9% |
| Wednesday | 16,480 | 962 | 58 | $1,924 | $5,162 | $33.17 | 2.68x | 6.0% |
| Thursday | 15,960 | 932 | 54 | $1,864 | $4,806 | $34.52 | 2.58x | 5.8% |
| Friday | 14,820 | 866 | 48 | $1,732 | $4,272 | $36.08 | 2.47x | 5.5% |
| Saturday | 12,640 | 738 | 38 | $1,476 | $3,382 | $38.84 | 2.29x | 5.2% |
| Sunday | 11,280 | 658 | 32 | $1,316 | $2,848 | $41.13 | 2.16x | 4.9% |
| **Avg** | **14,749** | **861** | **48** | **$1,722** | **$4,297** | **$35.88** | **2.47x** | **5.6%** |

### Day-of-Week Bid Adjustments

| Day | ROAS | vs. Average (2.47x) | Recommended Adjustment |
|-----|------|---------------------|----------------------|
| Monday | 2.50x | +1.2% | **0%** |
| Tuesday | 2.63x | +6.5% | **+10%** |
| Wednesday | 2.68x | +8.5% | **+10%** |
| Thursday | 2.58x | +4.5% | **0%** |
| Friday | 2.47x | +0.0% | **0%** |
| Saturday | 2.29x | -7.3% | **-10%** |
| Sunday | 2.16x | -12.6% | **-10%** |

---

### Section 3: Campaign Budget Allocation

| Priority | Campaign | Monthly Budget | Monthly Conv | CPA | ROAS | % of Total |
|----------|---------|---------------|-------------|-----|------|-----------|
| 1 | Brand Search | $3,000 | 120 | $25.00 | 4.8x | 10% |
| 2 | Prospecting Search (Exact) | $9,000 | 180 | $50.00 | 2.8x | 30% |
| 3 | Prospecting PMax | $10,500 | 175 | $60.00 | 2.5x | 35% |
| 4 | Competitor Search | $3,000 | 40 | $75.00 | 1.9x | 10% |
| 5 | Demand Gen | $4,500 | 35 | $128.57 | 1.2x | 15% |
| **Total** | | **$30,000** | **550** | **$54.55** | **2.6x** | **100%** |

### Budget Reallocation (Based on Data)

**Rule**: 80% to proven campaigns (Brand + Prospecting), 20% to testing (Competitor + Demand Gen).

| Campaign | Current Budget | Recommended | Change | Reason |
|----------|---------------|-------------|--------|--------|
| Brand Search | $3,000 | $3,000 | $0 | Efficient, don't overspend on brand |
| Prospecting Search | $9,000 | $10,500 | +$1,500 | Highest ROAS after Brand, room to scale |
| Prospecting PMax | $10,500 | $10,500 | $0 | Healthy ROAS, maintain |
| Competitor Search | $3,000 | $2,400 | -$600 | Below target ROAS, tighten budget |
| Demand Gen | $4,500 | $3,600 | -$900 | Below breakeven, reduce until creative improved |
| **Total** | **$30,000** | **$30,000** | **$0** | |

---

### Section 4: Intraday Pacing Check (Linear Model)

**Date**: Wednesday, Feb 19, 2026
**Account Timezone**: America/New_York (EST)
**Current Hour**: 14 /24 (Linear Fraction: 0.583)

| Campaign | Daily Budget | Actual Spend | Expected Spend | Pacing % | Projected EOD | Status |
|----------|-------------|-------------|---------------|----------|--------------|--------|
| Brand Search | $100 | $62 | $58.30 | 106% | $106.35 | ON_PACE |
| Prospecting Search | $350 | $248 | $204.05 | 121% | $425.39 | **OVERSPENDING** |
| Prospecting PMax | $350 | $194 | $204.05 | 95% | $332.76 | ON_PACE |
| Competitor Search | $80 | $34 | $46.64 | 73% | $58.32 | ON_PACE |
| Demand Gen | $120 | $86 | $69.96 | 123% | $147.51 | **OVERSPENDING** |
| **TOTAL** | **$1,000** | **$624** | **$583.00** | **107%** | **$1,070.33** | ON_PACE |

**Action items**:
- Prospecting Search at 121% - check if CPCs spiked or if a competitor entered the auction. Monitor but don't adjust unless sustained.
- Demand Gen at 123% - check if a new creative is burning budget. Consider lowering the daily budget to $100 if this continues for 3+ days.

---

### Section 5: Monthly Budget Pacing

| Date | Daily Budget | Actual Spend | Cumulative Spend | Monthly Budget | Monthly Pace | Action |
|------|-------------|-------------|-----------------|---------------|-------------|--------|
| Feb 1 | $1,000 | $982 | $982 | $30,000 | 98% | On pace |
| Feb 5 | $1,000 | $1,047 | $5,128 | $30,000 | 103% | On pace |
| Feb 10 | $1,000 | $1,124 | $10,486 | $30,000 | 105% | On pace |
| Feb 15 | $1,000 | $1,238 | $16,124 | $30,000 | 108% | Slightly over |
| Feb 19 | $1,000 | $1,070 | $20,264 | $30,000 | 106% | On pace |

**Monthly pace formula**: Cumulative Spend / (Monthly Budget x Days Elapsed / Days in Month) x 100

$20,264 / ($30,000 x 19/28) x 100 = $20,264 / $20,357 x 100 = **99.5%** (on pace)

---

## Your Turn

### Section 1: Hourly Performance

**Data source**: Google Ads   Reports   Predefined   Time   Hour of day
**Date range**: Last 30 days

| Hour | Impressions | Clicks | Conversions | Cost | Revenue | CPA | ROAS | Conv Rate |
|------|-------------|--------|-------------|------|---------|-----|------|-----------|
| 12 AM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 1 AM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 2 AM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 3 AM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 4 AM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 5 AM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 6 AM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 7 AM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 8 AM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 9 AM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 10 AM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 11 AM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 12 PM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 1 PM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 2 PM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 3 PM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 4 PM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 5 PM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 6 PM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 7 PM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 8 PM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 9 PM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 10 PM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| 11 PM | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| **Avg** | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |

**Your average ROAS**: ___________x

### Your Hourly Bid Adjustments

| Hour Block | Your ROAS | vs. Your Average | Recommended Adjustment |
|------------|-----------|-----------------|----------------------|
| 12 AM - 5 AM | ___x | ___% | Guideline: Below -30% = apply -50%. Between -15% and -30% = apply -20%. |
| 6 AM - 9 AM | ___x | ___% | Guideline: Within +/-15% = no adjustment needed. |
| 10 AM - 1 PM | ___x | ___% | Guideline: Above +15% = apply +10-20%. Above +25% = apply +20-30%. |
| 2 PM - 5 PM | ___x | ___% | |
| 6 PM - 9 PM | ___x | ___% | |
| 10 PM - 11 PM | ___x | ___% | |

### Section 2: Day-of-Week Performance

| Day | Impressions | Clicks | Conversions | Cost | Revenue | CPA | ROAS | Conv Rate |
|-----|-------------|--------|-------------|------|---------|-----|------|-----------|
| Monday | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| Tuesday | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| Wednesday | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| Thursday | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| Friday | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| Saturday | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| Sunday | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |
| **Avg** | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ | ___________ |

### Section 3: Campaign Budget Allocation

| Priority | Campaign | Monthly Budget | Monthly Conv | CPA | ROAS | % of Total |
|----------|---------|---------------|-------------|-----|------|-----------|
| 1 | ___________ | $___________ | ___________ | $___________ | ___x | ___% |
| 2 | ___________ | $___________ | ___________ | $___________ | ___x | ___% |
| 3 | ___________ | $___________ | ___________ | $___________ | ___x | ___% |
| 4 | ___________ | $___________ | ___________ | $___________ | ___x | ___% |
| 5 | ___________ | $___________ | ___________ | $___________ | ___x | ___% |
| **Total** | | **$___________** | **___________** | **$___________** | **___x** | **100%** |

### Section 4: Intraday Pacing Check

**Date**: _______________
**Account Timezone**: _______________
**Current Hour**: _____ /24 (Linear Fraction: _____)

| Campaign | Daily Budget | Actual Spend | Expected Spend | Pacing % | Projected EOD | Status |
|----------|-------------|-------------|---------------|----------|--------------|--------|
| ___________ | $ | $ | $ | % | $ | |
| ___________ | $ | $ | $ | % | $ | |
| ___________ | $ | $ | $ | % | $ | |
| ___________ | $ | $ | $ | % | $ | |
| ___________ | $ | $ | $ | % | $ | |
| **TOTAL** | **$** | **$** | **$** | **%** | **$** | |

---

## Interpretation Guide

- **Pacing 0-49%**: UNDERSPENDING. Check for: paused keywords, low bids, restrictive targeting, ad disapprovals, budget-limited campaigns you forgot to increase.
- **Pacing 50-120%**: ON PACE. Healthy spend distribution. No action needed - monitor.
- **Pacing 121%+**: OVERSPENDING. Burning budget before evening conversion windows. Check for: CPC spikes from new competitor, broad match triggering irrelevant queries, or budget set too low relative to opportunity.

**For hourly ROAS analysis**:
- **Hours below 1.0x ROAS**: These hours lose money on every dollar spent. Apply -50% bid adjustment (the cap).
- **Hours 1.0x - 1.8x ROAS**: Below profitable but not losing money. Apply -10% to -20%.
- **Hours at or above account average**: These are your money hours. Apply +10% to +20%.
- **Hours 25%+ above average**: Peak performers. Apply +20% to +30% (the cap).

**Monthly pacing thresholds**:
- 90-110% = On pace. No action.
- Below 90% = Underspending. Check keyword status, bid levels, ad approvals.
- Above 110% = Overspending. Check accelerated delivery, high-CPC keywords, or Google's 2x daily budget overspend allowance.

**Note**: Google can spend up to 2x your daily budget on any given day, as long as the 30-day average stays within budget. This means intraday overspending of 150-200% is normal on high-traffic days. Only flag sustained overspending (3+ consecutive days above 120%).

**Early morning caveat**: Before hour 6, pacing data is unreliable. Wait until at least 25% of the day has passed for meaningful signals.

---

## Export to Google Sheets

To recreate this calculator in Google Sheets:

**Sheet 1: Hourly Performance**

1. Create columns: Hour (A), Impressions (B), Clicks (C), Conversions (D), Cost (E), Revenue (F)
2. In cell G2, enter CPA formula: `=IF(D2 0,E2/D2,"N/A")`
3. In cell H2, enter ROAS formula: `=IF(E2 0,F2/E2,0)`
4. In cell I2, enter Conv Rate formula: `=IF(C2 0,D2/C2,0)`
5. In row 26 (Avg), use: `=AVERAGE(B2:B25)` for each column
6. For Bid Adjustment, create a new column J: `=ROUND((H2-$H$26)/$H$26*100/10,0)*10`
7. Cap adjustments: `=MAX(-50,MIN(30,J2))`

**Sheet 2: Day-of-Week** - Same structure, 7 data rows

**Sheet 3: Campaign Budget**
1. Columns: Campaign (A), Monthly Budget (B), Conversions (C), CPA (D), ROAS (E)
2. % of Total formula in F2: `=B2/SUM($B$2:$B$6)`

**Sheet 4: Intraday Pacing**
1. Enter your daily budgets in column B
2. Enter actual spend in column C
3. Linear Fraction in cell B1: `=HOUR(NOW())/24` (auto-updates)
4. Expected Spend formula in D2: `=B2*$B$1`
5. Pacing % formula in E2: `=IF(D2 0,C2/D2,0)`
6. Projected EOD formula in F2: `=IF($B$1 0,C2/$B$1,0)`
7. Status formula in G2: `=IF(E2 1.2,"OVERSPENDING",IF(E2 0.5,"UNDERSPENDING","ON_PACE"))`

**Sheet 5: Monthly Pacing**
1. Enter dates in column A, daily budget in B, actual spend in C
2. Cumulative Spend in D2: `=SUM($C$2:C2)`
3. Monthly Pace in F2: `=D2/($E$2*(ROW()-1)/DAY(EOMONTH(A2,0)))`

---

**Connected to**: Module 12 (Budget Pacing and Optimization)


# Bonus 1: 26-Column CSV Template for Bulk Upload

**Standalone Value**: $200
**Purpose**: Upload complete campaign structures to Google Ads Editor in one file. Campaigns, ad groups, keywords, RSAs, extensions - one import.

---

## Why This Bonus Matters

Building campaigns manually in the Google Ads interface takes 4-6 hours for a 10-campaign, 30-ad-group structure. With this template, you fill in the spreadsheet columns, export as CSV, and import the entire structure in one upload.

We've used this template to build 15-campaign structures in a single afternoon. It's the same format our team uses for client account builds - the difference is you're getting the template instead of paying us to fill it in.

---

## The 26 Columns

| # | Column | Purpose | Max Length |
|---|--------|---------|------------|
| 1 | Campaign | Campaign name: [Network]\_[Match]\_[Theme]\_[Geo] | - |
| 2 | Ad Group | Ad group name (single-theme) | - |
| 3 | RSA Name | Descriptive name (e.g., "Authority+Quality") | - |
| 4 | Final URL | Landing page URL | - |
| 5 | Headline 1 | DKI: `{KeyWord:Fallback}` (fallback max 20 chars) | 30 chars |
| 6-19 | Headlines 2-15 | RSA headlines (all 15 required) | 30 chars each |
| 20-23 | Descriptions 1-4 | RSA descriptions (benefit, mechanism, CTA, proof) | 90 chars each |
| 24 | Path 1 | Display URL path segment 1 | 15 chars |
| 25 | Path 2 | Display URL path segment 2 | 15 chars |
| 26 | Ad Status | ENABLED or PAUSED | - |

**Validation rules:**
- All 15 headlines required per RSA row (no empty columns)
- Headline 1 uses DKI format: `{KeyWord:Fallback}` with fallback max 20 characters
- No headline may exceed 30 characters
- No description may exceed 90 characters
- Path segments max 15 characters each

---

## How to Use

1. **Open in Google Sheets** (recommended for collaboration) or Excel
2. **Start with Campaign rows** - one row per campaign with settings
3. **Add Ad Group rows** - one row per ad group with bid
4. **Add Keyword rows** - one row per keyword with match type brackets
5. **Add RSA rows** - one row per RSA with all 15 headlines + 4 descriptions
6. **Add Extension rows** - one row per sitelink/callout
7. **Export as CSV** (UTF-8 encoding)
8. **Import into Google Ads Editor** via File -  Import -  From file

### Naming Convention (from Module 1)

```
[Network]_[Match Type]_[Campaign Theme]_[Geo]

Examples:
Search_Exact_Running-Shoes_US
Search_Phrase_Competitor-Nike_US
Search_Exact_Brand-Terms_US
```

---

## Example: 3-Campaign Structure

### Campaign: Search_Exact_Product_US
- 5 ad groups (one per product theme)
- 5-10 exact match keywords per ad group
- 1 RSA per ad group (15 headlines + 4 descriptions)

### Campaign: Search_Phrase_Product_US
- 5 matching ad groups (phrase match version)
- 5-10 phrase match keywords per ad group
- 1 RSA per ad group

### Campaign: Search_Exact_Brand_US
- 2 ad groups (brand terms, brand + product)
- 10-20 brand keyword variations
- 1 RSA per ad group

**Total**: 12 ad groups, 90-120 keywords, 12 RSAs - uploaded in one file.

---

## Tips

- Leave cells empty (not "N/A") when a column doesn't apply
- Use match type symbols: [exact match], "phrase match"
- Save a backup before each import
- Validate in Google Ads Editor before pushing live
- Use conditional formatting to flag headlines over 30 characters

---

**Connected to**: Module 1 (Campaign Architecture), Module 3 (The RSA System)


# Bonus 2: RSA Headline Formula Library (50 Formulas)

**Standalone Value**: $300
**Purpose**: 50 proven headline formulas organized by emotional angle. Plug in your product details and generate angle-diverse headlines in minutes.

---

## Why This Bonus Matters

Writing 25 headline candidates per ad group from scratch is the bottleneck in the RSA system. This library gives you 50 formulas - organized by the same angle categories from Module 3 - so you can generate candidates by filling in blanks rather than staring at a blank screen.

Each formula includes 3 industry examples so you can see the pattern in action.

---

## Price/Value Angle (10 Formulas)

**1. Direct Price Statement**
Formula: `[Product] from $[Price]`
- Running Shoes from $59
- SEO Audits from $299
- Meal Kits from $7.99/meal

**2. Savings Percentage**
Formula: `Save [X]% on [Product]`
- Save 30% on Winter Jackets
- Save $500 on Annual Plans
- Save 40% - First Order Only

**3. Price Comparison**
Formula: `[Benefit] for Less Than $[Daily Cost]`
- Clean Water for Less Than $1/Day
- Expert Training for Less Than $3/Day
- Insurance for Less Than Coffee

**4. Free Value-Add**
Formula: `Free [Bonus] with [Product]`
- Free Setup with Every Plan
- Free Shipping Over $75
- Free Consultation Included

**5. ROI Statement**
Formula: `$[X] [Product] Saves $[Y]/Month`
- $497 Course Saves $3K/Month
- $49 Audit Finds $1K in Waste
- $99 Tool Saves 10 Hours/Week

**6. Price Anchoring**
Formula: `Was $[Higher]. Now $[Lower].`
- Was $149. Now $79.
- Was $997. Launch Price $497.
- Originally $2,000. This Week $997.

**7. Unit Economics**
Formula: `Just $[X] Per [Unit]`
- Just $2.50 Per Lesson
- Just $0.83/Day for Pro Plan
- Just $8 Per 1000 Impressions

**8. Bundle Value**
Formula: `[X] [Items] for $[Price]`
- 12 Modules for $497
- 50 Templates for $47
- All 3 Plans for $199

**9. Competitor Price**
Formula: `[Competitor Equivalent] Costs $[X]. Ours: $[Y].`
- Agencies Charge $5K/Mo. Ours: $497 Once
- Consultants Charge $300/Hr. This: $47
- Other Courses: $2,497. This: $497

**10. Money-Back Framing**
Formula: `$[Price]. Guaranteed or Refund.`
- $497. Find $497 in Waste or Refund.
- $47. Results in 48 Hours or Free.
- Risk-Free at $197. Money Back.

---

## Social Proof Angle (10 Formulas)

**11. Rating Statement**
Formula: `[X.X] Stars from [Number]+ [People]`
- 4.8 Stars from 12,000+ Runners
- 4.9 Rating from 500+ Businesses
- 4.7 Stars - 2,000+ Reviews

**12. Volume Proof**
Formula: `[Number]+ [People] Trust [Brand]`
- 160+ Accounts Trust Our System
- 50,000+ Users Worldwide
- 1,200+ Brands Use This Daily

**13. Authority Claim**
Formula: `Rated #[X] by [Authority]`
- Rated #1 by Runner's World
- Top 10 on G2 Crowd
- Featured in Forbes

**14. Specific Result**
Formula: `[Person Type] Saw [X]% [Improvement]`
- Brands See 67% Lower CPA
- Teams Report 3x Productivity
- Clients Average 4.2x ROAS

**15. Testimonial Snippet**
Formula: `"[Short Quote]" - [Type]`
- "Best Course I've Taken" - Agency Owner
- "Paid for Itself Day 1" - Brand Manager
- "Wish I Found This Sooner" - CMO

**16. Industry Recognition**
Formula: `Trusted by [Industry] Leaders`
- Trusted by Fortune 500 Brands
- Used by Top PPC Agencies
- Chosen by 100+ E-com Brands

**17. Time-Tested**
Formula: `[X]+ Years of [Result]`
- 8+ Years of Google Ads Expertise
- 15 Years in Performance Marketing
- Built Over 10,000+ Hours of Testing

**18. Aggregate Result**
Formula: `$[X]M+ in [Metric]`
- 90+ Search Accounts Managed
- $100M+ Revenue Generated
- $10M+ Waste Recovered

**19. Success Rate**
Formula: `[X]% of Users See [Result]`
- 84% Find Wasted Spend Immediately
- 92% of Users Improve CPA
- 100% Find at Least 1 Issue

**20. Community Size**
Formula: `Join [Number]+ [People] Who [Result]`
- Join 160+ Brands Scaling Search
- Join 1,000+ PPC Professionals
- Join 500+ Agencies Using This

---

## Problem/Solution Angle (10 Formulas)

**21. Pain Point Direct**
Formula: `Stop [Pain]. Start [Solution].`
- Stop Wasting Budget. Start Converting.
- Stop Guessing. Start Measuring.
- Stop Bleeding Money on Bad Clicks.

**22. Common Mistake**
Formula: `[X]% Make This [Product] Mistake`
- 84% Make This Negative KW Mistake
- 90% Get Their Feed Structure Wrong
- 73% Waste Budget on This Setting

**23. Question Format**
Formula: `[Pain]? We Fix That.`
- High CPAs? We Fix That.
- Wasting Budget on Search? Fix It.
- Low Quality Scores? Here's Why.

**24. Specific Fix**
Formula: `Fix [Problem] in [Time]`
- Fix Wasted Spend in 1 Hour
- Fix Your RSAs in 30 Minutes
- Fix Negative Keywords Today

**25. Before/After**
Formula: `From [Bad State] to [Good State]`
- From 2x to 5x ROAS in 30 Days
- From Wasting 30% to Saving 67%
- From Flat CPAs to Monthly Drops

**26. Cost of Inaction**
Formula: `[Problem] Costs You $[X]/Month`
- Missing Negatives Cost You $3K/Mo
- Bad RSAs Cost You 47% in CTR
- No Extensions Cost You 25% CTR

**27. Frustration Acknowledgment**
Formula: `Tired of [Frustration]?`
- Tired of Flat ROAS? Here's Help.
- Tired of Rising CPAs?
- Tired of Generic Ad Copy?

**28. Root Cause**
Formula: `[Symptom] Isn't the Problem. [Root Cause] Is.`
- High CPA Isn't the Problem
- Low CTR? It's Your Ad Structure
- Budget Isn't the Issue. Architecture Is.

**29. Relief Statement**
Formula: `Finally: [Solution to Long Problem]`
- Finally: A System for Search Ads
- Finally: RSAs That Actually Test
- Finally: Negatives That Work

**30. Prevention**
Formula: `Stop [X] Before It Costs You $[Y]`
- Stop Budget Waste Before $5K Lost
- Stop Bad Clicks Before They Add Up
- Prevent $3K/Mo in Search Waste

---

## Urgency/Scarcity Angle (10 Formulas)

**31. Time-Limited**
Formula: `[Offer] Ends [Date/Time]`
- Launch Pricing Ends March 31
- 30% Off Ends Friday
- Early Access Closes Tomorrow

**32. Quantity-Limited**
Formula: `Only [X] Left [at Price/in Stock]`
- Only 3 Left in Your Size
- First 100 Get Free Updates
- Limited to 50 Enrollments

**33. Seasonal**
Formula: `[Season/Event] [Product] - [Benefit]`
- Spring Collection - Just Launched
- BFCM Sale - Up to 50% Off
- New Year New [Product]

**34. Competitor Action**
Formula: `Competitors Already [Action]. You?`
- Competitors Already Use This System
- Your Competition Runs 200+ Negatives
- Others Already Fixed Their RSAs

**35. Deadline Framing**
Formula: `[Action] Before [Consequence]`
- Fix This Before Q4 Starts
- Optimize Before Budget Resets
- Build Your System Before Peak Season

**36. Cost-of-Waiting**
Formula: `Every [Time] Without [Solution] = $[X] Lost`
- Every Month = $3K in Wasted Spend
- Every Week = $750 in Missed Sales
- Each Day Without Negatives Costs You

**37. New/Updated**
Formula: `New for [Year]: [Feature/Product]`
- New for 2026: AI RSA Builder
- Updated March 2025 Neg Limits
- New Module: AI-Powered Analysis

**38. Just Launched**
Formula: `Just Launched: [Product/Feature]`
- Just Launched: Search Ads Course
- Just Released: 50 RSA Formulas
- New Release: 10-Vertical Neg Lists

**39. Momentum**
Formula: `[Number] [People] Joined This [Period]`
- 47 Enrolled This Week
- 200+ Started This Month
- Growing 50 Members/Week

**40. Last Chance**
Formula: `Last Chance: [Offer]`
- Last Day at This Price
- Final Week for Bonuses
- Last Chance - Enrollment Closes

---

## Authority/Expertise Angle (10 Formulas)

**41. Experience Claim**
Formula: `Built from [X]+ [Experience Metric]`
- Built from 90+ Search Accounts
- Based on 160+ Account Audits
- From 8+ Years Managing Google Ads

**42. Process Proof**
Formula: `The [Process] Behind [Result]`
- The System Behind 90+ Search Accounts
- The Protocol Used on 160+ Accounts
- The Framework Driving 67% CPA Drops

**43. Practitioner Signal**
Formula: `From [Role], Not [Inferior Role]`
- From Operators, Not Theorists
- From Practitioners, Not Professors
- Built by Advertisers, Not Educators

**44. Data-Backed**
Formula: `[X] [Things] Analyzed. Here's What Works.`
- 160+ Accounts. Here's the System.
- 90+ Accounts Analyzed. This Works.
- 8 Years of Data. One Framework.

**45. Method Naming**
Formula: `The [Method Name] for [Outcome]`
- The S.E.A.R.C.H. Framework
- The Angle Cluster RSA System
- The 17-Phase Spy Protocol

**46. Credential**
Formula: `[Specific Credential or Achievement]`
- 90+ Search Accounts Optimized
- 160+ Accounts Optimized
- 8+ Year Google Ads Veteran

**47. Against-the-Grain**
Formula: `Google Says [X]. Data Says [Y].`
- Google Says Broad. Data Says Exact.
- Google Reps Push Automation. We Push Architecture.
- Ad Strength =/= Performance

**48. Behind-the-Scenes**
Formula: `What We [Do] on $[X]/Mo Accounts`
- What We Run on $100K+ Accounts
- How We Manage $500K/Mo Spend
- The Checklist for $50K+ Accounts

**49. Exclusive Access**
Formula: `The [Thing] We Use Internally`
- Our Internal RSA Protocol
- Our Team's Negative KW Lists
- The Templates We Use Daily

**50. Guarantee of Substance**
Formula: `[X] [Things]. Zero [Filler].`
- 12 Modules. Zero Fluff.
- 12 Modules. All Actionable.
- 50 Formulas. Every One Tested.

---

## How to Use This Library

1. **Identify your ad group's target search intent**
2. **Select 4-6 angle categories** relevant to that intent
3. **Pick 4-5 formulas per angle** from the library above
4. **Fill in the blanks** with your product/service details
5. **Score each headline** using the RSA Score Calculator (Template 2)
6. **Select the top 15** for your RSA

This process generates 20-30 candidates in 15-20 minutes instead of 60-90 minutes of blank-page writing.

---

**Connected to**: Module 3 (The RSA System), Module 4 (Emotional Truth in RSAs)


# Bonus 3: Search Term Cluster Analysis Template

**Standalone Value**: $150
**Purpose**: N-gram extraction, theme clustering, and action scoring for search term mining. The core tool for your weekly 30-minute mining cadence.

---

## What's Included

This bonus provides the complete search term cluster analysis system:

1. **Raw Data Import Template** - Columns: Search Term, Impressions, Clicks, Conversions, Cost, Revenue
2. **N-Gram Extraction Tables** - 1-word, 2-word, and 3-word n-gram frequency analysis with action columns
3. **Cluster Scoring Formula** - Weighted score combining conversion rate (40%), ROAS index (30%), volume index (20%), and CTR index (10%)
4. **Action Decision Matrix** - Automated recommendation logic for every cluster performance pattern
5. **Step-by-Step Jaccard Calculation Instructions** - Manual clustering method with threshold of 0.4, including tokenization, stop-word removal, and anchor-based greedy assignment
6. **Full Worked Example** - 30 real search terms clustered into 6 themes with complete scoring, actions, and weekly summary showing $1,840/month in waste eliminated

## Quick Reference: Cluster Actions

| Cluster Performance | Action | Priority |
|---------------------|--------|----------|
| High conversions + good CPA | Add as exact match keywords. Create dedicated ad group if 5+ terms. | Immediate |
| High clicks + zero conversions | Add all terms as negative keywords. | Immediate |
| High impressions + low CTR ( 1%) | Review ad relevance. Improve copy or add as negative. | This week |
| Low impressions + converting | Monitor for 2 more weeks. Emerging opportunity. | Watch |
| High cost + low ROAS | Add as negatives if CPA   3x target. Reduce bids if marginal. | This week |
| Brand terms in non-brand campaigns | Add as negatives in non-brand. Verify brand campaign captures. | Immediate |

See templates/search-term-cluster-analysis.md for the full template with all instructions, scoring formulas, Jaccard calculation walkthrough, and the complete 30-term worked example.

---

**Connected to**: Module 6 (Search Term Mining), Module 9 (Negative Keyword Architecture)


# Bonus 4: Extension Copy Templates (All 4 Types)

**Standalone Value**: $200
**Purpose**: Pre-written templates for sitelinks, callouts, price extensions, and structured snippets. Fill in the blanks for your business and import.

---

## Sitelink Templates

### Template Structure
- **Title**: 25 characters max, benefit-focused (not page name)
- **Description Line 1**: 35 characters max
- **Description Line 2**: 35 characters max
- **Final URL**: Destination page

### 10 Sitelink Templates

| # | Title Template | Desc Line 1 | Desc Line 2 | Best For |
|---|---------------|-------------|-------------|----------|
| 1 | See [X]+ Star Reviews | [X,000]+ verified reviews | Average [X.X] out of 5 stars | Trust building |
| 2 | [Season] Sale - [X]% Off | Save on [product category] | Limited time. Ships today. | Promotions |
| 3 | Free Shipping Over $[X] | No minimum for members | Fast delivery, easy returns | Logistics |
| 4 | New [Season] Arrivals | [X]+ new styles just added | Shop the latest collection | Freshness |
| 5 | [X]-Day Free Returns | No questions asked returns | Hassle-free process | Risk reversal |
| 6 | Shop [Top Category] | Our best-selling category | [X]+ options starting at $[X] | Category driving |
| 7 | Why Choose [Brand]? | [Core differentiator] | Trusted by [X,000]+ customers | Brand building |
| 8 | Gift Guide - [Occasion] | Curated picks for [person] | Free gift wrapping available | Seasonal |
| 9 | Contact Us | [Response time] response time | Phone, email, or live chat | Support signal |
| 10 | [Loyalty Program Name] | Earn points on every order | Members save [X]% on average | Retention |

---

## Callout Templates

### Rules
- 25 characters max per callout
- No punctuation needed
- Write 10-12, Google picks best 4
- Don't repeat headline info

### 20 Callout Templates by Category

**Trust Signals:**
1. [X.X]-Star Rating
2. [X,000]+ Happy Customers
3. [X] Years in Business
4. Money-Back Guarantee
5. Verified Reviews

**Logistics:**
6. Free Shipping Over $[X]
7. Same-Day Dispatch
8. [X]-Day Returns
9. Ships to [X] Countries
10. Express Available

**Guarantees:**
11. [X]-Day Money Back
12. Lifetime Warranty
13. Price Match Promise
14. Satisfaction Guaranteed
15. Free Exchanges

**Differentiators:**
16. Made in the [Country]
17. Family-Owned Since [Year]
18. [Certification] Certified
19. Eco-Friendly Materials
20. [X]+ Awards Won

---

## Structured Snippet Templates

### Available Headers
Types, Brands, Destinations, Courses, Degree programs, Featured hotels, Insurance coverage, Models, Neighborhoods, Service catalog, Shows, Styles, Amenities

### Templates by Business Type

**E-commerce:**
- Header: Types -  [Product Type 1], [Type 2], [Type 3], [Type 4]
- Header: Brands -  [Brand 1], [Brand 2], [Brand 3], [Brand 4]
- Header: Styles -  [Style 1], [Style 2], [Style 3], [Style 4]

**Services:**
- Header: Service catalog -  [Service 1], [Service 2], [Service 3], [Service 4]
- Header: Types -  [Type 1], [Type 2], [Type 3], [Type 4]

**SaaS:**
- Header: Types -  [Plan 1], [Plan 2], [Plan 3], [Plan 4]
- Header: Service catalog -  [Feature 1], [Feature 2], [Feature 3], [Feature 4]

---

## Price Extension Templates

### Structure
- Minimum 3 items, ideally 6-8
- Each item: Header (25 chars) + Description (25 chars) + Price + Final URL

### Template

| Item Header | Description | Price Format | URL |
|-------------|-------------|-------------|-----|
| [Product/Service 1] | [Key benefit, 25 chars] | From $[X] | /[page-1] |
| [Product/Service 2] | [Key benefit, 25 chars] | From $[X] | /[page-2] |
| [Product/Service 3] | [Key benefit, 25 chars] | From $[X] | /[page-3] |
| [Product/Service 4] | [Key benefit, 25 chars] | $[X]/month | /[page-4] |
| [Product/Service 5] | [Key benefit, 25 chars] | From $[X] | /[page-5] |
| [Product/Service 6] | [Key benefit, 25 chars] | From $[X] | /[page-6] |

---

## Rotation Strategy

### Sitelinks
- Create 8-10 sitelinks
- Google rotates the best 4
- Review performance monthly
- Replace any sitelink with CTR below 2% after 30 days
- Create seasonal variants (activate/pause by date)

### Callouts
- Create 10-12 callouts
- Google selects the best 4
- Review quarterly
- Replace bottom 2 performers each quarter

### Snippets
- Create 2-3 snippet sets with different headers
- Google tests and selects the most relevant
- Review quarterly

### Price Extensions
- Update prices when they change (stale prices = disapprovals)
- Seasonal items: pause/activate by season
- Review CTR monthly - low-performing items signal wrong audience fit

---

**Connected to**: Module 8 (Account-Level Extensions)


# Bonus 5: Negative Keyword Master Lists (10 Verticals)

**Standalone Value**: $400
**Purpose**: Pre-built negative keyword lists for 10 industry verticals. 100-200 negatives per vertical, ready to import as shared lists in Google Ads.

---

## Why This Bonus Matters

Building a negative keyword list from scratch takes weeks of search term mining. These lists give you a starting foundation of 100-200 vetted negatives based on patterns we've seen across 90+ search accounts. Import on Day 1, then expand weekly from your own search term data.

The difference between 23 negatives and 200+ negatives is 67% lower CPA. These lists get you to 100+ immediately.

---

## How to Use

1. Find your industry below
2. Copy the keyword list
3. Create a shared negative keyword list in Google Ads
4. Name it "[Vertical] - Universal Negatives"
5. Apply to all search campaigns
6. Supplement weekly from search term mining (Module 6)

---

## Vertical 1: E-Commerce (General)

### Universal E-Commerce Negatives (155 terms)

**Job/Career Terms:**
job, jobs, career, careers, salary, salaries, hiring, hire, employment, resume, interview, internship, intern, work from home, remote job, part time, full time, glassdoor, indeed, linkedin, recruiter, recruiting, vacancy, apprenticeship, contractor, freelance work, gig, warehouse job, packing job, driver job

**Free/Cheap Seekers:**
free, freebie, giveaway, free shipping hack, coupon code, promo code, clearance, liquidation, wholesale, bulk discount, sample, trial, demo, free stuff, freecycle, craigslist, facebook marketplace, used, secondhand, thrift, garage sale, yard sale, swap, barter, cheap, cheapest, dirt cheap, bargain bin, dollar store, wish

**Educational/Research:**
wiki, wikipedia, definition, meaning, what is, how does, tutorial, course, class, certificate, certification, exam, test, study, research paper, thesis, dissertation, essay, homework, assignment, lesson plan, curriculum, syllabus, textbook, lecture, scholarly

**Wrong Intent:**
repair, fix, broken, warranty claim, return policy, complaint, sue, lawsuit, recall, scam, fraud, review complaint, refund, exchange, class action, rip off, avoid, worst, terrible, horrible, consumer reports complaint

**DIY/Make:**
diy, homemade, make your own, build your own, craft, handmade, recipe, how to make, pattern, sewing, knitting, crochet, woodworking, 3d print

**Information/Media:**
youtube, reddit, pinterest, tiktok, instagram, blog, forum, quora, news, article, video, podcast, infographic, statistics, data, report, white paper, case study

**Wrong Geography (universal - customize per business):**
alibaba, aliexpress, dhgate, taobao, wish app, temu

---

## Vertical 2: SaaS / Software

### Universal SaaS Negatives (130 terms)

**Job/Career:**
job, jobs, career, salary, hiring, developer job, engineer job, intern, internship, glassdoor, indeed, linkedin, product manager job, software engineer salary, remote developer, tech recruiter, resume, interview questions, career path, junior developer, senior engineer, tech lead

**Free Seekers:**
free, open source, free alternative, free tool, freemium, free trial hack, cracked, pirated, torrent, nulled, warez, keygen, serial key, activation code, crack download, free forever, no credit card, github free, self hosted free

**Educational:**
tutorial, course, certificate, exam, what is, definition, how to code, learn programming, bootcamp, udemy, coursera, codecademy, w3schools, stack overflow tutorial, documentation, api docs, sdk reference, developer guide

**Wrong Intent:**
login, sign in, password reset, cancel subscription, refund, downgrade, delete account, support ticket, status page, outage, down, not working, bug report, complaint, alternative to, replace, migrate from, export data, close account

**Technical/Dev:**
github, stackoverflow, api documentation, sdk, source code, repository, npm, pip install, docker, kubernetes, terraform, ansible, open source project, code review, pull request, commit, branch, merge, fork

**Wrong Buyer:**
personal use, student, nonprofit free, hobby, side project, single user, individual plan, family plan, home use, personal license, educational discount, student discount

---

## Vertical 3: Health / Wellness

### Universal Health Negatives (140 terms)

**Medical/Clinical:**
doctor, hospital, clinic, diagnosis, prescription, side effects, drug interaction, FDA, clinical trial, medical advice, treatment, symptoms, disease, disorder, therapy, physician, surgeon, specialist, emergency room, urgent care, ambulance, pharmacy, pharmacist, dosage, contraindication, adverse reaction, drug recall, medication, pharmaceutical

**Job/Career:**
nurse job, health care job, pharmacy technician, medical school, residency, nursing program, physician assistant salary, dietitian certification, personal trainer certification, health inspector job, lab technician, phlebotomist, medical billing, medical coding, CNA, LPN, RN salary

**Free Seekers:**
free, sample, trial pack, coupon, free consultation, free assessment, pro bono, charity, medicaid, uninsured, low income, sliding scale, government program, free clinic

**Dangerous Queries:**
overdose, poison, harmful, dangerous, death, die, emergency, 911, suicide, self harm, toxic, lethal dose, abuse, addiction, withdrawal, detox symptoms, rehab center

**Wrong Intent:**
meaning, definition, wikipedia, research paper, study, thesis, pubmed, ncbi, scholarly article, journal, abstract, hypothesis, methodology, peer reviewed, meta analysis

**Regulatory/Legal:**
FDA approved, clinical evidence, medical disclaimer, legal, class action, malpractice, liability, lawsuit, attorney, lawyer, sued, regulation, compliance, HIPAA

**Recipe/DIY:**
recipe, homemade, diy, make your own, home remedy, natural cure, folk remedy, essential oil cure, apple cider vinegar cure

---

## Vertical 4: Home Services

### Universal Home Services Negatives (145 terms)

**Job/Career:**
plumber job, electrician job, contractor job, apprentice, trade school, certification exam, license requirements, hvac technician job, handyman job, painter job, roofer salary, journeyman, master plumber exam, electrical license, general contractor license, union, apprenticeship program, vocational, trade certification

**DIY:**
diy, how to fix, youtube tutorial, do it yourself, home repair guide, step by step, how to install, how to replace, how to repair, home depot, lowes, menards, ace hardware, tools needed, supplies list, instructables, family handyman, this old house, diy plumbing, diy electrical, diy roofing

**Free:**
free estimate, free inspection, pro bono, free quote, free assessment, volunteer, habitat for humanity, community service, church help, nonprofit repair

**Wrong Service:**
commercial plumbing, industrial hvac, new construction, demolition, architecture, interior design, landscaping, pest control, pool service, cleaning service, maid service, moving company, storage unit, junk removal

**Complaints/Legal:**
insurance claim, lawsuit, complaint, BBB, attorney, fraud, scam, rip off, worst contractor, bad review, avoid, consumer protection, small claims court, lien, bond claim, permit violation

**Wrong Geography (universal modifiers):**
near me free, near me cheap, near me diy, near me volunteer

**Information:**
cost calculator, average cost, price range, how much does, estimator, cost per square foot, price per hour, hourly rate, salary, wage

---

## Vertical 5: Financial Services

### Universal Financial Negatives (135 terms)

**Job/Career:**
financial advisor job, analyst job, banking job, CFA exam, series 7, series 66, CFP certification, actuarial exam, underwriter job, loan officer salary, teller job, investment banking internship, accounting job, bookkeeper job, payroll specialist, tax preparer job, compliance officer

**Educational:**
course, tutorial, how to become, certificate, exam prep, study guide, practice test, flashcards, textbook, lecture, degree, MBA, finance major, economics class, coursera, udemy, khan academy, investopedia tutorial

**Scam/Fraud Related:**
scam, fraud, pyramid, ponzi, complaint, lawsuit, SEC investigation, FINRA complaint, class action, ripoff, avoid, warning, alert, phishing, identity theft, data breach, hack, stolen, compromised

**Wrong Product:**
crypto, bitcoin, ethereum, dogecoin, nft, blockchain, forex, forex trading, day trading, penny stocks, options trading, futures, commodities, gambling, sports betting, casino, lottery, scratch off

**DIY/Free:**
free financial advisor, free tax filing, free accounting software, turbotax, h r block free, credit karma, mint, personal capital free, free budgeting app, free spreadsheet, excel template, google sheets budget, diy taxes, self file

**Regulatory:**
regulation, compliance, audit, irs, tax code, statute, legislation, policy, government, federal reserve, treasury, sec filing, 10-k, annual report, prospectus

---

## Vertical 6: Education / Online Courses

### Universal Education Negatives (125 terms)

**Free Seekers:**
free course, free certification, free download, torrent, pirated, shared drive, pdf free, free ebook, free access, free login, free account, nulled, cracked, stolen, leak, reddit free, mega download, google drive link, free alternative, youtube tutorial, khan academy

**Wrong Level:**
kids, children, elementary, middle school, high school, kindergarten, preschool, toddler, baby, teen, youth, senior citizen, beginner absolute, first time, never done before, advanced, expert level, doctoral, PhD, postdoctoral, masters thesis

**Job/Career:**
teacher job, professor job, instructor salary, adjunct, teaching assistant, tutor job, education coordinator, curriculum developer, dean, principal, superintendent, school administrator, academic advisor

**Wrong Format:**
in person, on campus, classroom, lecture hall, live class, zoom class, hybrid, part time, evening, weekend, summer, accelerated, immersive, bootcamp, workshop, seminar, conference, webinar

**Complaints:**
scam, fake, worthless, not worth it, waste of money, bad reviews, complaint, refund, dispute, chargeback, accreditation, unaccredited, diploma mill, degree factory

**Platform Alternatives:**
udemy, coursera, skillshare, linkedin learning, masterclass, edx, pluralsight, treehouse, codecademy, brilliant, datacamp

---

## Vertical 7: Travel / Hospitality

### Universal Travel Negatives (130 terms)

**Job/Career:**
hotel job, airline job, travel agent job, flight attendant, pilot job, cruise ship job, hospitality job, concierge job, front desk job, housekeeper job, bellhop, valet, tour guide job, travel writer, resort manager, restaurant job, chef job, bartender job, server job

**Free:**
free stay, free flight, sweepstakes, giveaway, points hack, miles hack, credit card churning, free upgrade, loyalty program hack, free cancellation, free breakfast hack, comped room, complimentary, free wifi hack, travel hacking

**Complaints:**
complaint, refund, cancel, dispute, bad review, worst hotel, bedbug, cockroach, dirty room, overcharged, hidden fee, scam, rip off, fraud, lawsuit, class action, health violation, food poisoning, noisy, terrible service

**Wrong Type:**
hostel, motel, airbnb, vrbo, timeshare, camping, glamping, rv park, tent, backpacking, couchsurfing, house swap, home exchange, volunteer abroad, work exchange, wwoof

**Research/Planning:**
blog, reddit, forum, quora, tripadvisor forum, lonely planet forum, travel advisory, visa requirements, passport, vaccination, travel insurance comparison, currency exchange rate, weather forecast, packing list, itinerary template

**Wrong Geography (universal modifiers):**
cheapest, budget, backpacker, shoestring, off grid, remote, dangerous, unsafe, travel warning, do not travel

---

## Vertical 8: Real Estate

### Universal Real Estate Negatives (135 terms)

**Job/Career:**
real estate agent job, broker license, realtor exam, real estate school, real estate course, pre-license, continuing education, real estate salary, commission structure, brokerage hiring, property manager job, appraiser certification, home inspector training, mortgage broker license

**Rental (if sales only):**
rent, rental, lease, month to month, apartment, studio, loft, sublet, roommate, room for rent, shared housing, section 8, affordable housing, low income housing, public housing, hud, voucher

**Wrong Property Type:**
commercial, industrial, warehouse, office space, retail space, land, farm, ranch, mobile home, manufactured home, tiny home, houseboat, condo hotel, fractional ownership, timeshare

**DIY/FSBO:**
for sale by owner, FSBO, sell without agent, no commission, flat fee listing, discount broker, sell my house myself, diy staging, diy photography, zillow make me move, opendoor, offerpad, ibuyer

**Legal/Complaints:**
lawsuit, foreclosure, short sale, bankruptcy, lien, tax lien, code violation, zoning violation, easement dispute, boundary dispute, title issue, deed restriction, eminent domain, condemnation, asbestos, lead paint, mold remediation, radon, foundation crack

**Information/Research:**
zillow estimate, zestimate, property tax records, public records, county records, deed search, tax assessment, home value calculator, mortgage calculator, affordability calculator, property history, crime statistics, school ratings

---

## Vertical 9: Automotive

### Universal Automotive Negatives (140 terms)

**Job/Career:**
mechanic job, dealership job, auto technician, ASE certification, automotive engineer, car salesman job, service advisor job, body shop job, detailer job, car wash job, fleet manager, dispatcher, CDL, truck driver, parts counter, service writer salary, lube technician

**DIY:**
diy repair, how to fix, youtube repair, auto parts store, autozone, oreilly, napa, advance auto, rockauto, diy oil change, how to replace, step by step, repair manual, haynes, chilton, wiring diagram, torque specs, diy body work, diy paint job, diy detailing

**Wrong Vehicle Type:**
motorcycle, boat, rv, truck, semi, tractor, atv, utv, snowmobile, jet ski, golf cart, scooter, bicycle, ebike, electric scooter, go kart, lawn mower, generator, power equipment

**Complaints/Legal:**
recall, lemon law, complaint, lawsuit, defect, safety issue, investigation, nhtsa, class action, arbitration, buyback, attorney, lawyer, consumer protection, fraud, odometer rollback, salvage title, flood damage, accident history, carfax dispute

**Research/Comparison:**
kelley blue book, kbb, edmunds, carfax, autotrader, cars.com, truecar, consumer reports, jd power, iihs, nhtsa rating, crash test, reliability rating, depreciation, resale value, cost of ownership, maintenance schedule

**Wrong Intent:**
rental car, car rental, enterprise, hertz, uber, lyft, carshare, zipcar, turo, lease return, trade in value, scrap, junkyard, salvage, pull a part, demolition derby

---

## Vertical 10: Professional Services

### Universal Professional Services Negatives (130 terms)

**Job/Career:**
accountant job, lawyer job, consultant salary, career path, certification, exam prep, how to become, cpa exam, bar exam, pmp certification, hiring, recruiter, glassdoor, indeed, linkedin job, internship, entry level, associate, partner track, salary survey, compensation

**Free:**
free consultation, free advice, pro bono, legal aid, free template, free tool, free software, free assessment, free audit, free analysis, free quote, free estimate, volunteer, charity, nonprofit help, community clinic, law school clinic

**DIY:**
do it yourself, template, free template, online tool, software alternative, self service, self file, diy accounting, diy legal, legalzoom, rocketlawyer, turbotax, quickbooks free, wave accounting, freshbooks free, canva, fiverr, upwork cheap

**Wrong Service:**
personal injury, criminal defense, immigration, family law, divorce, bankruptcy, estate planning, tax preparation, bookkeeping, payroll, hr consulting, it support, web design, marketing agency, seo agency, social media management, virtual assistant

**Educational:**
course, school, degree, certificate, training program, bootcamp, workshop, seminar, conference, continuing education, cpd, webinar, masterclass, online class, study material, practice exam, prep course

**Complaints/Legal:**
complaint, malpractice, negligence, lawsuit, dispute, arbitration, mediation, bar association complaint, board complaint, ethics violation, disciplinary action, disbarred, sanctioned, review complaint, scam, fraud, ripoff

---

## Implementation Checklist

1. [ ] Select your primary vertical list
2. [ ] Review each term for relevance to your business
3. [ ] Remove any terms that ARE relevant to your targeting
4. [ ] Add industry-specific terms not covered
5. [ ] Create shared list in Google Ads: "Universal Negatives - [Vertical]"
6. [ ] Apply to all search campaigns
7. [ ] Set calendar reminder: review and expand weekly (Module 6)
8. [ ] Target: 200+ total negatives within 8 weeks

---

**Connected to**: Module 9 (Negative Keyword Architecture), Module 6 (Search Term Mining)


# Bonus 7: Competitor Messaging Matrix Worksheet

**Standalone Value**: $200
**Purpose**: Structured worksheet for the 17-phase spy protocol. Map competitor headlines, angles, USPs, extensions, and landing pages. Automatically identifies gaps and counter-positioning opportunities.

---

## Why This Bonus Matters

The 17-phase spy protocol in Module 7 generates a lot of data. Without a structured place to capture it, insights get lost. This worksheet organizes everything from Phase 1 (identification) through Phase 17 (counter-strategy) in a format that reveals patterns and gaps automatically.

---

## Section 1: Setup + Competitor Discovery (Phases 1-3)

| # | Competitor | Domain | Advertiser ID | Impression Share | Overlap Rate | Primary Category |
|---|-----------|--------|--------------|-----------------|--------------|------------------|
| 1 | | | | % | % | |
| 2 | | | | % | % | |
| 3 | | | | % | % | |
| 4 | | | | % | % | |
| 5 | | | | % | % | |

*Phase 3: Resolve Advertiser IDs via Google Ad Transparency Center for full ad library access.*

---

## Section 2: Ad Collection + Messaging Extraction (Phases 4-5)

### Competitor 1: _______________

| Ad Element | Content Found | Angle Category |
|-----------|---------------|----------------|
| Headline 1 | | |
| Headline 2 | | |
| Headline 3 | | |
| Description 1 | | |
| Description 2 | | |
| Sitelink 1 | | |
| Sitelink 2 | | |
| Sitelink 3 | | |
| Sitelink 4 | | |
| Callouts | | |
| Structured Snippets | | |

*(Repeat for each competitor)*

---

## Section 3: A/B Tests + Landing Pages + Keyword Mapping (Phases 6-8)

### How to Fill Out the Angle Matrix

For each competitor, review all collected ads from Section 2. For every ad element (headlines, descriptions, sitelinks, callouts), classify it into one of the 12 messaging angles listed below. Then for each cell in the matrix:

1. **Count** how many ads/elements use that angle (the number before the slash)
2. **Copy the strongest example headline** that represents the angle (after the slash)
3. If no ads use that angle, mark the cell with **X**

**Example cell entry**: `4 / "Save 30% - Free Shipping"` means 4 ad elements used the Price/Value angle, and the best example is "Save 30% - Free Shipping."

After completing all cells, scan each column to find market consensus (angles everyone uses) and each row to find gaps (angles nobody uses). Your biggest opportunities are angles with X marks across multiple competitors.

### The 12-Angle Messaging Matrix

| # | Angle (Detection Weight) | Comp 1: ___ | Comp 2: ___ | Comp 3: ___ | Comp 4: ___ | Comp 5: ___ | Comp 6: ___ | Comp 7: ___ | Comp 8: ___ | **You** |
|---|--------------------------|-------------|-------------|-------------|-------------|-------------|-------------|-------------|-------------|---------|
| 1 | Price/Value (1.0x) | / | / | / | / | / | / | / | / | / |
| 2 | Quality/Premium (1.0x) | / | / | / | / | / | / | / | / | / |
| 3 | Urgency/Scarcity (1.2x) | / | / | / | / | / | / | / | / | / |
| 4 | Social Proof (1.1x) | / | / | / | / | / | / | / | / | / |
| 5 | Authority/Expertise (1.0x) | / | / | / | / | / | / | / | / | / |
| 6 | Convenience/Ease (0.9x) | / | / | / | / | / | / | / | / | / |
| 7 | Guarantee/Trust (1.1x) | / | / | / | / | / | / | / | / | / |
| 8 | Newness/Innovation (0.9x) | / | / | / | / | / | / | / | / | / |
| 9 | Personalization (0.8x) | / | / | / | / | / | / | / | / | / |
| 10 | Comparison (1.0x) | / | / | / | / | / | / | / | / | / |
| 11 | Free Offer (1.2x) | / | / | / | / | / | / | / | / | / |
| 12 | Exclusivity (1.0x) | / | / | / | / | / | / | / | / | / |
| | **Total Angles Used** | /12 | /12 | /12 | /12 | /12 | /12 | /12 | /12 | /12 |

**Reading the matrix:**
- **Column scan** (vertical): Which angles does each competitor rely on? Their top 2-3 angles are their messaging identity.
- **Row scan** (horizontal): Which angles are saturated (everyone uses them) vs. open (few or no competitors use them)?
- **Your column**: Compare your current messaging against the market. Any row where you have X but competitors have counts is a gap. Any row where everyone has X is an opportunity.
- **Detection weights**: Angles with higher weights (Urgency 1.2x, Free Offer 1.2x, Social Proof 1.1x, Guarantee 1.1x) tend to drive stronger conversion signals. Prioritize gaps in high-weight angles.

---

## Section 4: Delta Tracking + Integration Outputs (Phases 9-10)

| USP Claim | Comp 1 | Comp 2 | Comp 3 | **You** | Differentiation Opportunity? |
|-----------|--------|--------|--------|---------|------------------------------|
| | | | | | |
| | | | | | |
| | | | | | |
| | | | | | |
| | | | | | |

---

## Section 5: Visual Analysis + Document Generation + Synthesis (Phases 11-14)

### Angles NO Competitor Uses (Your Opportunity)

| Gap Identified | Why It's an Opportunity | Headline Concepts |
|---------------|------------------------|-------------------|
| | | |
| | | |
| | | |

### Keywords Competitors Miss

| Keyword/Theme | Search Volume | Your Position | Competitor Coverage |
|--------------|---------------|---------------|-------------------|
| | | | |
| | | | |

### Weak Ad Copy Patterns (Competitor Vulnerabilities)

| Competitor | Weakness | How to Exploit |
|-----------|----------|---------------|
| | | |
| | | |

### Unaddressed Objections

| Objection | Which Competitors Miss It | Your Counter |
|-----------|--------------------------|-------------|
| | | |
| | | |

---

## Section 6: Counter-Ads + Offer Intelligence + Differentiation Score (Phases 15-17)

### Per-Competitor Counter-Positioning

**Competitor 1: _______________**
- Their strongest angle: _______________
- Your counter: _______________
- Counter headline concepts:
  1.
  2.
  3.
- Landing page approach: _______________

**Competitor 2: _______________**
- Their strongest angle: _______________
- Your counter: _______________
- Counter headline concepts:
  1.
  2.
  3.
- Landing page approach: _______________

**Competitor 3: _______________**
- Their strongest angle: _______________
- Your counter: _______________
- Counter headline concepts:
  1.
  2.
  3.
- Landing page approach: _______________

---

## Summary: Action Items

| Priority | Action | Competitor | Timeline |
|----------|--------|-----------|----------|
| 1 | | | |
| 2 | | | |
| 3 | | | |
| 4 | | | |
| 5 | | | |

---

**Connected to**: Module 7 (Competitive Intelligence)


# Bonus 1: Complete 152-Point Scoring Checklist

**Standalone Value**: $300
**Purpose**: The exact feed quality audit we run on every account we manage. Print it, score your feed, and know exactly where your money is leaking.

**Note**: This bonus document doubles as the working template. Use it directly in your campaigns.

---

## Why This Matters

We've audited 160+ Shopping feeds. The average first-time score: 83/152. That's FAIR tier - meaning fixes are required and deployment should be blocked until resolved.

The brands that score GOOD (95+) consistently outperform on impression share, CPC efficiency, and ROAS. The gap between 83 and 95 isn't cosmetic. It's worth $3,000-$12,000 per month on a typical $15k Shopping budget.

---

## How to Use This Checklist

1. **Export your feed** from Google Merchant Center (Products   All Products   Export)
2. **Open a sample of 20 products** (5 top sellers, 5 mid-range, 5 low performers, 5 random)
3. **Score each check** across the 6 base categories + bonus category below
4. **Run the Anti-Templating Audit** to check for deduction penalties
5. **Total your score**: Base (142 max) + Bonus (+10 max) - Anti-Templating Penalties (up to -50)
6. **Prioritize fixes** by point value (highest points = highest impact)

---

## Scoring Architecture

| Component | Points | Type |
|-----------|--------|------|
| Base scoring (6 categories) | 142 | Required |
| Intelligence Integration Bonus | +10 | Conditional |
| Anti-templating penalties | up to -50 | Deduction |
| **Maximum possible** | **152** | |

---

## Tier Guide

| Score | Tier | Deployment Status |
|-------|------|-------------------|
|  = 98 | STELLAR | Auto-proceed to GMC upload |
| 95-97 | GOOD | Ready for GMC, review recommended |
| 85-94 | ACCEPTABLE | Fix before deploy |
| 70-84 | FAIR | Block deployment, fixes required |
|   70 | POOR | Must regenerate, reject entirely |

---

## The 152 Points

### 1. STRUCTURAL COMPLIANCE (30 points)

- [ ] (6 pts) Optimized CSV file exists and  = 2KB
- [ ] (6 pts) Optimization report exists and  = 1KB
- [ ] (6 pts) CSV is comma-delimited with no embedded line breaks (\n or \r) in any field
- [ ] (6 pts) Exactly 31 columns in canonical order matching feed-schema.json
- [ ] (6 pts) Product count in valid range: 3-50 products per segment

**Category Score**: ___/30
**Note**: Any failure here is a HALT condition - feed cannot be deployed.

### 2. FEED FORMAT (47 points)

**Title Validation (4 pts)**:
- [ ] (2 pts) Title length   100 characters for  = 95% of products
- [ ] (2 pts) Every word capitalized for  = 95% of products

**Description Validation (4 pts)**:
- [ ] (2 pts) Description length 800-1,100 characters for  = 90% of products
- [ ] (2 pts) Funnel-specific length met: BOFU 800-1,000, MOFU 900-1,100, TOFU 1,000-1,200

**Format Checks (24 pts)**:
- [ ] (2 pts) product_type uses "   " separator (100%)
- [ ] (2 pts) No line breaks (\n or \r) in any field (100%)
- [ ] (2 pts) Price format: "X.XX USD" (100%)
- [ ] (2 pts) Availability values in lowercase (100%)
- [ ] (2 pts) All link/image_link use HTTPS (100%)
- [ ] (3 pts) GTIN or MPN present for  = 85% of products
- [ ] (3 pts) identifier_exists is lowercase "yes"/"no" (100%)
- [ ] (2 pts) identifier_exists correctly derived from GTIN/MPN presence (100%)
- [ ] (3 pts) product_detail: 3-5 "Section:Attribute:Value" pairs, comma-separated, double-quoted ( = 90%)
- [ ] (3 pts) product_highlight: 6-10 items, comma-separated, double-quoted (100%)
- [ ] (2 pts) No pipe (\|) delimiters in product_highlight or product_detail (100%)

**Category   Taxonomy (4 pts)**:
- [ ] (2 pts) google_product_category set to leaf-level GPC ( = 95%)
- [ ] (2 pts) product_type uses "   " separator (100%)

**Attribute Validation (7 pts)**:
- [ ] (2 pts) Brand matches brand guide exactly (100%)
- [ ] (1 pt) age_group valid: adult, kids, toddler, infant, newborn, or empty (100%)
- [ ] (1 pt) gender valid: male, female, unisex, or empty (100%)
- [ ] (1 pt) Size extracted from product name or empty (100%)
- [ ] (1 pt) Material extracted from product page or empty (100%)
- [ ] (2 pts) Color NOT in blocklist: assorted, multi, various, mixed, n/a, none, multiple, variety, diverse, miscellaneous, other, default, standard (100%)

**Labels   IDs (4 pts)**:
- [ ] (1 pt) custom_label_0 populated with segment identifier (100%)
- [ ] (1 pt) custom_label_1 through custom_label_4 all populated (100%)
- [ ] (1 pt) Pocket suffix on product ID: _pXXX (legacy) or _p{b|m|t}XXX (funnel-aware) (100%)
- [ ] (1 pt) image_link uses HTTPS (100%)

**Category Score**: ___/47

### 3. CONTENT QUALITY (25 points)

- [ ] (5 pts) Description uniqueness:   5% 3-gram overlap between any two descriptions
- [ ] (5 pts) No duplicate titles within the segment
- [ ] (3 pts) Brand name accuracy  = 98% of products
- [ ] (5 pts) Template detection: no single opening pattern in   20% of descriptions
- [ ] (3 pts) Structure variety: no single title structure in   15% of products
- [ ] (2 pts) Product highlights present  = 80% of products
- [ ] (2 pts) Source verification: descriptions differ   30% from original product descriptions

**Category Score**: ___/25

### 4. SEMANTIC QUALITY (10 points)

- [ ] (3 pts) Product-keyword relevance  = 90% of products have relevant primary keyword
- [ ] (3 pts) Segment coherence  = 85% of products fit the segment theme
- [ ] (2 pts) Cluster theme alignment  = 70% with angle keyword themes
- [ ] (2 pts) Semantic similarity   60% cosine between any two descriptions

**Category Score**: ___/10

### 5. SHOPPING DOMINATION (20 points)

- [ ] (10 pts) Zone 1 compliance:  = 70% of products have primary keyword in first 70 characters
- [ ] (5 pts) Price-tier vocabulary: language matches price tier (luxury/premium/mid/budget)
- [ ] (5 pts) Competitor differentiation:  = 90% of products have unique positioning vs. competitors

**Category Score**: ___/20

### 6. INTELLIGENCE INTEGRATION BONUS (+10 points)

- [ ] (+2 pts) All 5 custom labels populated (custom_label_0 through custom_label_4)
- [ ] (+2 pts) Seasonality language: seasonal products reference relevant time context
- [ ] (+2 pts) Search intent alignment: content matches commercial/informational intent
- [ ] (+2 pts) Brand differentiator presence: unique value proposition in descriptions
- [ ] (+2 pts) Cluster theme diversity: varied themes across the segment

**Bonus Score**: ___/+10

---

## ANTI-TEMPLATING AUDIT (up to -50 points)

This is what separates the STELLAR feeds from everything else. Check each item - if the condition triggers, apply the penalty.

- [ ] (-25 pts) **Description template detected**:   30% of descriptions share same structural fingerprint (extract first 3 + last 3 words - if matching structural pattern, penalty triggers)
- [ ] (-10 pts) **Duplicate sentences**: ANY description contains internally repeated sentences
- [ ] (-15 pts) **Identical highlights**:   50% of products share identical highlight content
- [ ] (-5 pts) **Color blocklist violation**:   20% of products use blocklisted color values (assorted, multi, n/a, etc.)
- [ ] (-10 pts) **Title keyword stuffing**:   30% of titles contain filler phrases ("Best Quality Premium", "100% Guaranteed", "Certificat Original Exclusiv Autentic")
- [ ] (-5 pts) **Delimiter violation**: ANY product_highlight or product_detail uses pipe \| delimiters instead of commas
- [ ] (-10 pts) **Source similarity**:   20% of descriptions have   30% difference from original product description
- [ ] (-10 pts) **Semantic diversity failure**: Average title similarity   0.60 (-5) OR any two titles with similarity   0.85 (-5)
- [ ] (-15 pts) **Title collision** (multiplied products only): Same product across pockets has Jaccard word similarity  = 0.70

**Anti-Templating Penalty Total**: ___/-50 max

---

## TOTAL SCORE

| Component | Score |
|-----------|-------|
| 1. Structural Compliance | ___/30 |
| 2. Feed Format | ___/47 |
| 3. Content Quality | ___/25 |
| 4. Semantic Quality | ___/10 |
| 5. Shopping Domination | ___/20 |
| **Base Total** | **___/142** |
| 6. Intelligence Bonus | +___/10 |
| Anti-Templating Penalty | -___/50 |
| **FINAL SCORE** | **___/152** |
| **TIER** | __________ |

---

## Priority Fix Order

After scoring, fix items in this order (highest revenue impact first):

1. Structural failures (these are HALT conditions - nothing else matters until fixed)
2. Anti-templating penalties (biggest single-item point losses - up to -25 for description templates)
3. Shopping Domination failures (Zone 1 compliance is 10 pts - direct impression share impact)
4. Feed Format failures (47 pts total - GMC compliance = product approvals)
5. Content Quality failures (25 pts - uniqueness and diversity directly affect quality score)
6. Semantic Quality failures (10 pts - relevance alignment)
7. Intelligence Integration gaps (bonus points - optimize after base is solid)

---

**Reference**: Module 13, The Shopping Domination System


# Bonus 2: Feed CSV Template (31-Column Canonical Order)

**Standalone Value**: $200
**Purpose**: Pre-formatted CSV template with all 31 columns in the exact order the S.H.O.P. Protocol deployment expects. Includes sample data, validation rules, and column descriptions.

**Note**: This bonus document doubles as the working template. Use it directly in your campaigns.

---

## Why This Matters

Feed upload errors are the second most common cause of product disapprovals (after GTIN issues). Column ordering mismatches, missing required fields, and formatting inconsistencies cause hours of debugging that this template eliminates.

We standardized this format in a single source of truth (`feed-schema.json`) that every tool in the pipeline validates against. Every column is in the canonical order. Every field has explicit format requirements.

---

## Quick Start

1. Download this template (copy the CSV structure below)
2. Map your existing product data to the 31 columns
3. Apply Zone Architecture titles to column 2 (title) - target 100-150 characters
4. Apply custom labels to columns 26-30
5. Validate GTINs in column 12
6. Check identifier_exists (column 14) matches GTIN/MPN presence
7. Upload to GMC as a scheduled fetch

---

## Column Reference (31 Columns - Canonical Order)

| # | Column | Required | Format | Common Errors |
|---|--------|----------|--------|---------------|
| 1 | id | Yes | Text (unique per entry). Funnel-aware: append `_pb001` (BOFU), `_pm001` (MOFU), `_pt001` (TOFU) | Duplicates, changing IDs between uploads, missing pocket suffix |
| 2 | title | Yes | 100-150 chars, Zone Architecture, end with " - {Brand}" | Too short ( 100), keyword stuffing, copy-pasted from CMS, no brand suffix |
| 3 | description | Yes | BOFU: 800-1,000 chars, MOFU: 900-1,100 chars, TOFU: 1,000-1,200 chars | Empty, duplicate, no keywords, too similar to original ( 30% diff) |
| 4 | link | Yes | Full URL (https://) | 404s, redirect chains, HTTP instead of HTTPS |
| 5 | image_link | Yes | Full URL (https://) | Low resolution, broken URLs, watermarks |
| 6 | additional_image_link | No | Full URL (https://) | Missing entirely (lost CTR opportunity) |
| 7 | price | Yes | "29.99 USD" | Missing currency, wrong decimal format |
| 8 | sale_price | No | "24.99 USD" | Forgetting to remove expired sales |
| 9 | google_product_category | Yes | Number or full leaf-level path | Wrong category, too broad (not leaf-level) |
| 10 | product_type | Yes | "Category   Sub   Type" (using "   " separator) | Too generic, wrong separator (/ instead of "   ") |
| 11 | brand | Yes | Consistent text, exact match to brand guide | Variations ("Nike" vs "NIKE" vs "nike") |
| 12 | gtin | Conditional | 12-14 digits, no spaces/dashes, check digit valid | Invalid check digit, spaces, dashes |
| 13 | mpn | Conditional | Text | Required when no GTIN |
| 14 | identifier_exists | Yes | Lowercase "yes" or "no" | Must match GTIN/MPN presence. Getting this wrong = bulk disapprovals |
| 15 | product_detail | Recommended | 3-5 "Section:Attribute:Value" pairs, comma-separated, double-quoted | Missing (lost rich Shopping results), wrong format, pipe delimiters |
| 16 | product_highlight | Recommended | 6-10 items, comma-separated, double-quoted | Missing, too few items, pipe delimiters |
| 17 | condition | Yes | new/refurbished/used (lowercase) | Missing entirely |
| 18 | availability | Yes | in_stock/out_of_stock/preorder (lowercase) | Not synced with inventory, wrong case |
| 19 | sell_on_google_quantity | No | Integer | Missing for Buy on Google integration |
| 20 | item_group_id | No | Text | Missing for variant products (sizes, colors) |
| 21 | age_group | Conditional | adult/kids/toddler/infant/newborn (lowercase) | Required for apparel - often missing |
| 22 | gender | Conditional | male/female/unisex (lowercase) | Required for apparel - often missing |
| 23 | color | Conditional | Text (NOT: assorted, multi, various, mixed, n/a, none) | Blocklisted values, missing for apparel |
| 24 | size | Conditional | Text | Inconsistent formats ("L" vs "Large") |
| 25 | material | No | Text | Missing (easy relevance boost) |
| 26 | custom_label_0 | S.H.O.P. | `pocket_{FUNNEL}_{NNN}_{intent}` | Missing = no segmentation |
| 27 | custom_label_1 | S.H.O.P. | `tier_1_priority` / `tier_2_standard` / etc. | Missing = no bid differentiation |
| 28 | custom_label_2 | S.H.O.P. | `competitive_win` / `competitive_parity` / etc. | Not updated monthly |
| 29 | custom_label_3 | S.H.O.P. | `high_competition` / `medium_competition` / etc. | Not aligned with keyword layer |
| 30 | custom_label_4 | S.H.O.P. | `BOFU_layer1_core` / `MOFU_layer3_intent` / etc. | Missing = no funnel deployment |
| 31 | shipping_weight | No | "2.5 lb" | Wrong unit, missing for heavy items |

---

## Key Columns Most Brands Miss

**identifier_exists** (column 14): This is the most overlooked column. It must be lowercase "yes" when GTIN or MPN is present, lowercase "no" when neither exists. If this doesn't match reality, Google disapproves in bulk. Many brands leave it empty or set it to "yes" when they have no GTIN.

**product_detail** (column 15): 3-5 structured pairs like `"Fabric:Material:100% Organic Cotton"`. Google uses these for rich Shopping results. Format: Section:Attribute:Value, comma-separated, double-quoted. No pipe delimiters.

**product_highlight** (column 16): 6-10 bullet points that appear in expanded Shopping listings. Comma-separated, double-quoted.  50% of products sharing identical highlights triggers a -15pt anti-templating penalty.

---

## Validation Checklist

Before uploading, confirm:
- [ ] All 31 columns present in canonical order (column order matters for schema validation)
- [ ] GTINs pass check digit validation (Luhn-variant algorithm)
- [ ] identifier_exists correctly derived from GTIN/MPN presence
- [ ] All URLs resolve (no 404s) and use HTTPS
- [ ] Prices match landing pages exactly, format "X.XX USD"
- [ ] No duplicate product IDs in the feed
- [ ] Product IDs include pocket suffix (_pb001, _pm001, _pt001 for funnel-aware)
- [ ] Custom labels 0-4 all assigned per Decision Matrix
- [ ] Availability synced with current inventory (lowercase values)
- [ ] No line breaks (\n or \r) embedded in any field
- [ ] No pipe delimiters in product_detail or product_highlight
- [ ] Color values not in blocklist (no "assorted", "multi", "various", etc.)

---

## Sample Data (3 Products)

Three complete example rows spanning different verticals (skincare, electronics, home goods) with all 31 columns populated.

```csv
id,title,description,link,image_link,additional_image_link,price,sale_price,google_product_category,product_type,brand,gtin,mpn,identifier_exists,product_detail,product_highlight,condition,availability,sell_on_google_quantity,item_group_id,age_group,gender,color,size,material,custom_label_0,custom_label_1,custom_label_2,custom_label_3,custom_label_4,shipping_weight
SKU-001_pb001,"Cetaphil Daily Moisturizer For Sensitive Skin SPF 30 Fragrance Free Hydrating Face Cream With Niacinamide Pump Bottle 16oz - Cetaphil","Cetaphil's Daily Moisturizer with SPF 30 provides broad-spectrum UV protection while hydrating sensitive skin. The fragrance-free formula is dermatologist-recommended for daily use on all skin types. Lightweight non-greasy texture absorbs quickly without leaving white residue or clogging pores. Key active ingredients include hyaluronic acid for deep hydration niacinamide for skin barrier repair and vitamin E for antioxidant protection. The convenient 16oz pump bottle lasts 3-4 months with daily morning application. Clinically tested on sensitive skin with zero irritation reports across 500 participants. SPF 30 blocks 97% of UVB rays meeting dermatologist standards for daily sun protection.",https://example.com/cetaphil-moisturizer-spf30,https://example.com/images/cetaphil-spf30-primary.jpg,https://example.com/images/cetaphil-spf30-lifestyle.jpg,24.99 USD,,2844,Health   Beauty   Skincare   Moisturizers   Daily Moisturizers,Cetaphil,0688928000012,,yes,"Skincare:Type:Daily Moisturizer,SPF:Protection:SPF 30 Broad Spectrum,Formula:Feature:Fragrance Free,Size:Volume:16oz Pump Bottle,Testing:Certification:Dermatologist Tested","Broad-spectrum SPF 30 UV protection for daily wear,Fragrance-free formula safe for sensitive skin,Lightweight non-greasy texture absorbs in seconds,Hyaluronic acid and niacinamide for deep hydration,16oz pump bottle lasts 3-4 months daily use,Clinically tested with zero irritation reports",new,in_stock,150,CETAPHIL-MOIST,adult,unisex,,,cream,pocket_BOFU_001_daily_moisturizer,tier_1_priority,competitive_win,high_competition,BOFU_layer1_core,0.5 lb
SKU-042_pm001,"Sony WH-1000XM5 Wireless Noise Cancelling Headphones Bluetooth Over Ear With 30 Hour Battery Life Multipoint Connection Hands Free Calling Black - Sony","The Sony WH-1000XM5 delivers industry-leading noise cancellation with two processors controlling 8 microphones for constant ambient sound analysis. 30-hour battery life with quick charge capability provides 3 hours of playback from a 3-minute USB-C charge. Multipoint connection lets you switch between two Bluetooth devices without manual re-pairing. The redesigned lightweight frame at 250g reduces pressure during extended listening sessions compared to the previous generation XM4 at 254g. LDAC codec support transmits approximately 3x more data than conventional Bluetooth for high-resolution wireless audio. Speak-to-Chat automatically pauses music when you start talking and resumes when you stop. Folds flat for travel with included carrying case.",https://example.com/sony-wh1000xm5-black,https://example.com/images/sony-xm5-primary.jpg,https://example.com/images/sony-xm5-lifestyle.jpg,348.00 USD,298.00 USD,505826,Electronics   Audio   Headphones   Over-Ear Headphones,Sony,0027242923430,,yes,"Audio:Type:Wireless Over-Ear Headphones,Battery:Life:30 Hours Per Charge,Noise Cancellation:Technology:Dual Processor 8-Mic,Connectivity:Feature:Multipoint Bluetooth 5.2,Weight:Specification:250g Lightweight Frame","Industry-leading noise cancellation with 8 microphones,30-hour battery with 3-minute quick charge for 3 hours,Multipoint connection switches between two devices instantly,250g lightweight frame for all-day comfort,LDAC high-resolution wireless audio codec support,Speak-to-Chat auto-pauses music during conversations,Folds flat with included travel carrying case",new,in_stock,85,SONY-WH1000XM5,adult,unisex,Black,,plastic,pocket_MOFU_003_noise_cancelling_headphones,tier_1_priority,competitive_parity,high_competition,MOFU_layer3_intent,0.55 lb
SKU-117_pt001,"Dyson V15 Detect Cordless Vacuum Cleaner Laser Dust Detection Whole Machine HEPA Filtration 60 Min Runtime LCD Screen Pet Hair Deep Clean - Dyson","The Dyson V15 Detect uses a precisely angled laser in the Fluffy Optic cleaner head to reveal microscopic dust invisible to the naked eye on hard floors. The piezo sensor counts and sizes dust particles up to 14000 times per second displaying real-time particle counts on the LCD screen so you can see exactly when a section is clean. Whole-machine HEPA filtration captures 99.97% of particles down to 0.3 microns and expels cleaner air than the room air it takes in. Three power modes provide up to 60 minutes of fade-free runtime on the lowest setting with the click-in battery. The Hair Screw tool has a conical brush bar that migrates hair off the bristles as it spins preventing the tangling that plagues other cordless vacuums. Converts from stick to handheld in one click for furniture stairs and car interiors. 0.76L dustbin capacity with point-and-shoot hygienic emptying.",https://example.com/dyson-v15-detect,https://example.com/images/dyson-v15-primary.jpg,https://example.com/images/dyson-v15-lifestyle.jpg,749.99 USD,,623,Home   Garden   Household Appliances   Vacuums   Stick Vacuums,Dyson,5025155073919,,yes,"Vacuum:Type:Cordless Stick Vacuum,Filtration:Technology:Whole Machine HEPA 99.97%,Battery:Runtime:Up to 60 Minutes Fade-Free,Sensor:Feature:Piezo Particle Counter LCD Display,Cleaning:Innovation:Laser Dust Detection Optic Head","Laser dust detection reveals invisible particles on hard floors,Piezo sensor counts particles 14000x per second on LCD screen,HEPA filtration captures 99.97% of particles to 0.3 microns,Up to 60 minutes fade-free cordless runtime,Hair Screw tool prevents brush bar tangling from pet hair,Converts from stick to handheld in one click,Point-and-shoot hygienic dustbin emptying",new,in_stock,42,DYSON-V15,adult,unisex,,,nickel,pocket_TOFU_006_cordless_vacuum_pet_hair,tier_2_standard,competitive_win,medium_competition,TOFU_layer6_discovery,6.8 lb
```

**What to notice across the 3 examples:**
- **SKU-001** (skincare): BOFU funnel position, tier_1_priority bidding, high_competition - this is a hero product in a competitive pocket
- **SKU-042** (electronics): MOFU funnel position with sale_price set, competitive_parity - targeting intent-based searches like "noise cancelling headphones"
- **SKU-117** (home goods): TOFU funnel position, tier_2_standard bidding, medium_competition - discovery-layer targeting for broader searches like "cordless vacuum pet hair"

---

**Reference**: Module 9 (Feed Deployment), The Shopping Domination System


# Bonus 3: Zone Architecture Quick Reference

**Standalone Value**: $150
**Purpose**: One-page reference card for Zone Architecture title construction. Tape it to your monitor during title rewrites.

**Note**: This bonus document doubles as the working template. Use it directly in your campaigns.

---

## The Three Zones

**Zone 1 (chars 1-70)**: Primary keyword (SV =500 verified) + key differentiating attribute. This is what Google Shopping displays in most placements. Search relevance is weighted most heavily toward the title beginning.
**Zone 2 (chars 71-110)**: Secondary keyword + benefit. Deepens relevance for longer search queries. Only include attributes with verified search volume.
**Zone 3 (chars 111-150)**: Brand suffix + remaining attributes. Every title MUST end with " - {Brand}".

**Target Title Length**: 100-150 characters (not 65-80)

---

## SV Verification: The 4-Tier Keyword Hierarchy

1. **Tier 1: Market-level baseline** - 1,300-2,500 keywords from brand onboarding research
2. **Tier 2: Segment-level keywords** - 10-35 keywords per pocket, curated for each segment
3. **Tier 3: Per-product cached research** - Product-specific keywords with 180-day cache
4. **Tier 4: Live API research** - Real-time keyword discovery for insufficient cached data

**Shopping Viability Scoring**:
- HIGH: SV  = 500 AND CPC  = $0.50 (ready for Zone 1)
- MEDIUM: SV  = 100 OR CPC  = $0.30 (Zone 2/3 candidate)
- OPPORTUNITY: SV  = 50 AND competition   0.30 (long-tail play)
- ORGANIC_ONLY: Everything else (description only)

**Zone 1 SV Thresholds**:  = 1,000 (HIGH confidence), 500-999 (MEDIUM), 100-499 (Zone 2/3 only),   100 (description only)

---

## Funnel-Specific Title Approaches

| Funnel | Opening Strategy | Psychology | Example |
|--------|-----------------|------------|---------|
| BOFU | Lead with exact product keyword | Authority, trust, urgency | "Memory Foam Pillow - {Brand} {Product} \| {Trust Signal}" |
| MOFU | Lead with category/"best" keyword | Differentiation, social proof | "Best Pillow For Side Sleepers - {Brand} {Product}" |
| TOFU | Lead with problem being solved | Pain, curiosity, transformation | "How To Fix Neck Pain While Sleeping - {Solution}" |

---

## 12 Category Examples

| Category | Zone 1 (chars 1-70) | Zone 2 (chars 71-110) | Zone 3 (chars 111-150) | Total |
|----------|---------------------|----------------------|----------------------|-------|
| Skincare | Cetaphil Daily Moisturizer For Sensitive Skin SPF 30 Fragrance Free | Hydrating Face Cream With Niacinamide | Pump Bottle 16oz - Cetaphil | 132 |
| Shoes | Nike Air Max 270 Running Shoes For Men Lightweight Black White Mesh | Breathable Cushioned Sole Size 11 | Athletic Training - Nike | 128 |
| Supplements | ON Gold Standard Whey Protein Powder 5lb Double Rich Chocolate | 24g Protein Isolate Blend Per Serving | Fast Absorbing - Optimum Nutrition | 142 |
| Kitchen | Vitamix E310 Professional Blender 48oz Container 10 Speed Settings | Variable Speed Compact Design For Kitchen | Smoothie Maker - Vitamix | 136 |
| Pet | Blue Buffalo Life Protection Dog Food Large Breed Adult Chicken Rice | 30lb Bag Natural Ingredients Grain Free | High Protein - Blue Buffalo | 138 |
| Baby | Pampers Swaddlers Diapers Size 3 Newborn Baby 168 Count Value Pack | Hypoallergenic Soft Absorbent Wetness | Indicator Strip - Pampers | 131 |
| Electronics | Sony WH-1000XM5 Wireless Noise Cancelling Headphones Over Ear Black | 30 Hour Battery Life Multipoint Connect | Hi-Res Audio - Sony | 133 |
| Home | Dyson V15 Detect Cordless Stick Vacuum Cleaner With Laser Detection | HEPA Filtration 60 Min Runtime LCD | Display Screen - Dyson | 129 |
| Fashion | Levis 501 Original Fit Jeans For Men Straight Leg Stonewash Blue 32x32 | Cotton Button Fly Classic American Denim | Iconic Style - Levi's | 138 |
| Beauty | Olaplex No 3 Hair Perfector Bond Repair Treatment 3.3oz All Hair Types | Salon Professional Strength Damage Repair | Color Safe Formula - Olaplex | 141 |
| Outdoor | YETI Rambler 26oz Stainless Steel Insulated Water Bottle With Straw Cap | Double Wall Vacuum Keep Drinks Cold 24 Hr | Harbor Pink - YETI | 137 |
| Fitness | Bowflex SelectTech 552 Adjustable Dumbbells 5 to 52 Pounds Space Saving | Quick Change Weight Dial System Home Gym | Full Body Workout - Bowflex | 143 |

---

## Anti-Template Requirements

- All titles must be unique within a segment (no duplicates)
- No single title structure should exceed 15% usage across the segment
- Average title similarity should be   0.60 across the segment
- Same product across multiple segments: word similarity must be   0.70 (Jaccard with stopwords removed)
- The LLM decides the approach for each product: keyword-first, benefit-first, category-first, or attribute-first opening

---

## 5 Common Mistakes

1. **Titles under 100 characters** - You're missing Zone 2/3 entirely. Long-tail matches and deeper relevance signals lost.
2. **Zone 1 keyword not verified** - "Dermatologist tested" (40/mo) vs "For Sensitive Skin" (8,100/mo). The 4-Tier Hierarchy decides, not your marketing team.
3. **Same title structure everywhere** - If  15% of titles share the same structure, anti-templating penalties kick in (-10 pts in the 152-point audit).
4. **Missing brand suffix** - Every title MUST end with " - {Brand}". This is a hard rule.
5. **Over 150 characters** - Google may truncate. Trim Zone 3 attributes to stay within 100-150.

---

**Reference**: Module 5, The Shopping Domination System


# Bonus 4: Thief/Protector Campaign Setup Guide

**Standalone Value**: $300
**Purpose**: Step-by-step campaign architecture for both offensive (Thief) and defensive (Protector) Shopping campaigns using the post-October 2024 Ad Rank model. This is NOT the old priority-based arbitrage - that stopped working after Google's Oct 2024 update.

---

## The Post-October 2024 Reality

Before October 2024, Shopping campaign priority determined which campaign served first: High priority campaigns got first crack at every search, then Medium, then Low. The old Thief/Protector playbooks used priority cascading (High for Protector, Medium for Thief, Low for catch-all).

**That model is dead.**

After Google's October 2024 update, Ad Rank determines auction winners across ALL campaign types - including PMax vs Standard Shopping. Priority still exists but Ad Rank (driven primarily by CPC) is what actually wins auctions.

The new Thief/Protector strategy leverages Ad Rank through CPC differentiation, not priority cascading.

---

## How It Works Now

Both campaigns use **HIGH priority (2)**. They compete on Ad Rank.

| Campaign | Priority | CPC Range | Products | Purpose |
|----------|----------|-----------|----------|---------|
| **THIEF** | HIGH (2) | $4-10 | Hero SKUs only | Wins auctions for proven winners with higher Ad Rank |
| **PROTECTOR** | HIGH (2) | $1.2-2.5 | All products | Catches remaining traffic at lower cost |

Both campaigns share a **portfolio budget** - Google auto-optimizes spend allocation across both.

**Why this works**: The higher CPC (Thief at $4-10) generates higher Ad Rank for hero SKUs, winning specific high-value auctions. The lower CPC (Protector at $1.2-2.5) means remaining traffic still gets captured instead of going to competitors. The portfolio budget ensures neither campaign starves.

---

## Prerequisites

1. **Feed deployed**: Your segment must have a `feed_label` in `.upload-status.json`
2. **Performance data**: Run `/brand-report type=shopping` to generate product-level performance data for hero detection

---

## Campaign 1: The Thief

### Purpose
Win auctions for your proven best-performing products by outbidding competitors with higher Ad Rank.

### Hero SKU Selection

Heroes are auto-detected from performance data using a 3-step algorithm:

1. **Filter**: Keep only products where `conv_value_per_cost  = 2.0` (ROAS threshold) AND `conversions  = 1.0` (minimum conversion gate). Both conditions must be true - a product with 5.0x ROAS but 0 conversions is noise, not a hero.
2. **Sort**: Rank remaining products by `conversions_value` descending (total revenue, not ROAS). This prioritizes volume over efficiency - a product doing $5,000/month at 2.5x ROAS is a stronger hero than one doing $200/month at 8x ROAS.
3. **Cap**: Take the top 20 (configurable via `hero_limit`). More than 20 heroes dilutes the CPC concentration that makes Thief work.

**Hero threshold**: Default is 2.0x ROAS. Lower to 1.5 for more heroes, raise to 3.0 for fewer but stronger heroes.

### How the Thief Listing Group Tree Works

The Thief campaign doesn't just include hero products - it uses a **listing group tree** that creates two tiers within one campaign:

```
ROOT (Listing Group - SUBDIVISION)
├── Hero SKU 1 (UNIT) → Full CPC: $6.00
├── Hero SKU 2 (UNIT) → Full CPC: $6.00
├── Hero SKU 3 (UNIT) → Full CPC: $6.00
├── ... (up to 20 heroes)
└── Everything Else (UNIT) → CPC: $0.01 (effectively suppressed)
```

The "Everything Else" node at $0.01 CPC is critical. It tells Google: "I want this campaign to bid aggressively on these 20 specific products and ignore everything else." Without it, products not explicitly listed would inherit the ad group's default bid. The $0.01 ensures they never win an auction through the Thief campaign - they get served by the Protector instead.

The Protector campaign uses a simple **UNIT listing** (all products, single node) at the lower CPC. No tree needed because it serves everything equally.

### Setup

**Campaign Settings**:
- Campaign type: Standard Shopping
- Name: `Shopping - {MARKET} - {SEGMENT} - THIEF`
- Priority: HIGH (2)
- CPC: $4-10 (start at $6, adjust based on impression share)
- Products: Hero SKUs only (top performers)
- Shared budget: Portfolio budget with Protector

**Thief Monitoring Metrics**:

| Metric | Target | Action if Off-Target |
|--------|--------|---------------------|
| Impression Share (heroes) | 70%+ | Increase CPC |
| CPC | $4-10 range | Adjust based on ROAS |
| ROAS |  = hero_threshold (default 2.0x) | Lower CPC if under threshold |
| Hero Count | 10-20 SKUs | Adjust hero_threshold |

---

## Campaign 2: The Protector

### Purpose
Catch ALL remaining traffic that Thief doesn't win. Prevents competitors from picking up impressions on your products.

### Setup

**Campaign Settings**:
- Campaign type: Standard Shopping
- Name: `Shopping - {MARKET} - {SEGMENT} - PROTECTOR`
- Priority: HIGH (2)
- CPC: $1.2-2.5 (start at $1.50, conservative)
- Products: ALL products in the segment
- Shared budget: Portfolio budget with Thief

**Protector Monitoring Metrics**:

| Metric | Target | Action if Off-Target |
|--------|--------|---------------------|
| Impression Share (all) | 50%+ combined with Thief | Increase CPC |
| CPC | $1.2-2.5 range | Cap at profitability threshold |
| ROAS | 2-3x minimum | Lower CPC if under threshold |
| Portfolio Budget Utilization | 90%+ | Adjust total budget |

---

## Portfolio Budget Strategy

Both campaigns share a single portfolio budget. This is critical because:

1. **Google auto-optimizes** spend between Thief and Protector based on which is winning more auctions
2. **No budget waste** - if Thief heroes aren't in auctions, Protector absorbs the budget
3. **Automatic scaling** - as hero SKUs win more, Thief naturally gets more budget

**Starting budget**: Combined budget for both campaigns. Default: $80/day (configurable).

**Portfolio can include PMax**: If you're also running Feed-Only PMax on the same segment, add it to the portfolio for 3-way budget optimization.

---

## The Ad Rank Competition Model

```
Search: "memory foam pillow for side sleepers"

Your Account:
  THIEF campaign (HIGH priority, CPC: $6.00)
    → Ad Rank = $6.00 x Quality Score
    → If hero SKU matches → THIEF serves at $6 CPC

  PROTECTOR campaign (HIGH priority, CPC: $1.50)
    → Ad Rank = $1.50 x Quality Score
    → If THIEF doesn't win → PROTECTOR serves at $1.50 CPC

Competitor:
  Their Shopping campaign (CPC: $3.00)
    → Ad Rank = $3.00 x Quality Score
    → THIEF ($6) beats them on heroes
    → PROTECTOR ($1.50) may lose to them on non-heroes

Result: Your heroes ALWAYS win. Your remaining products compete fairly.
The competitor pays $3 for every impression. You pay $6 for heroes
(worth it - they're proven winners) and $1.50 for everything else.
```

---

## Implementation Timeline

| Day | Action |
|-----|--------|
| 1 | Run `/brand-report type=shopping` to get performance data |
| 1 | Review hero detection results (adjust threshold if needed) |
| 2 | Create portfolio budget |
| 2 | Create Thief campaign with hero SKUs, HIGH priority, CPC $6 |
| 2 | Create Protector campaign with all products, HIGH priority, CPC $1.50 |
| 3 | Both campaigns start PAUSED - review settings before enabling |
| 3 | Enable both campaigns simultaneously |
| 7 | First performance review - check impression share split |
| 14 | Adjust CPCs based on two weeks of data |
| 21 | Evaluate hero list - add/remove based on actual Thief performance |
| 30 | Full performance review, optimize portfolio budget |

---

## Common Mistakes

1. **Using different priorities** - Both must be HIGH (2). The old HIGH/MEDIUM cascade doesn't work post-Oct-2024.
2. **Not using portfolio budget** - Separate budgets mean one campaign starves while the other overspends.
3. **Thief CPC too low** - If Thief CPC is close to Protector CPC, Ad Rank differentiation disappears. Maintain at least 2x gap.
4. **Too many heroes** - More than 20 heroes dilutes the strategy. The point is to concentrate aggressive bids on proven winners.
5. **No performance data** - Running Thief without product-level performance data means you're guessing which products are heroes.
6. **Not re-evaluating heroes** - Hero list should be refreshed monthly based on actual Thief campaign data.

---

## Configuration Defaults

| Parameter | Default | Range |
|-----------|---------|-------|
| budget | $80/day | $40-200 |
| thief_cpc | $6.00 | $4-10 |
| protector_cpc | $1.50 | $1.2-2.5 |
| hero_threshold | 2.0x ROAS | 1.5-4.0 |
| hero_limit | 20 | 5-30 |
| min_conversions | 1.0 | 0.5-3.0 |

---

**Reference**: Module 10 (Campaign Architecture), The Shopping Domination System


# Bonus 5: Custom Label Decision Matrix (Printable)

**Standalone Value**: $150
**Purpose**: Condensed one-page decision tree for assigning all 5 custom labels using the bidding signal architecture. Print this and work through it for every product in your feed. No guesswork, no inconsistency.

**Note**: This bonus document doubles as the working template. Use it directly in your campaigns.

---

## The 5 Labels at a Glance

| Label | Purpose | Update Frequency | Drives |
|-------|---------|-----------------|--------|
| 0 | Segment ID | When segments restructured | Campaign targeting |
| 1 | Bidding Tier | After segmentation refresh | Bid aggressiveness |
| 2 | Competitive Position | Monthly | Budget allocation direction |
| 3 | Competition Level | After segmentation refresh | CPC expectations |
| 4 | Funnel Layer | Rarely (funnel reassignment) | Deployment staging + landing pages |

---

## Label 0: Segment Identifier (custom_label_0)

**Format**: `pocket_{FUNNEL}_{NNN}_{intent}`

**Decision**:
```
What funnel layer does this product's segment belong to?
  → BOFU (Layers 1, 2, 7)
  → MOFU (Layers 3, 4, 5)
  → TOFU (Layer 6)

What is the pocket number? (sequential within funnel)
  → 001, 002, 003, etc.

What is the dominant search intent?
  → memory_foam, best_pillow, neck_pain, etc.

COMBINE: "pocket_BOFU_001_memory_foam"
```

**Rule**: Every product gets exactly one Label 0 per segment entry. Products appearing in multiple segments (up to 5 max) have different Label 0 per entry.

---

## Label 1: Bidding Tier (custom_label_1)

**Decision** (requires assignment tier + fit score):
```
Is this a PRIMARY assignment AND fit_score  = 90?
  → "tier_1_priority"          (Bid UP - best match)

Is fit_score  = 80?
  → "tier_2_standard"          (Standard bids)

Is fit_score  = 70?
  → "tier_3_exploratory"       (Conservative bids, testing)

Below 70 (orphan rescue)?
  → "tier_4_rescue"            (Minimal budget)
```

| Tier | Recommended Strategy | Target ROAS |
|------|---------------------|-------------|
| tier_1_priority | Target ROAS 200% | Aggressive |
| tier_2_standard | Target ROAS 300% | Balanced |
| tier_3_exploratory | Target ROAS 400% | Conservative |
| tier_4_rescue | Maximize Clicks (capped) | N/A |

---

## Label 2: Competitive Position (custom_label_2)

**Decision** (requires competitive gap analysis from segmentation):
```
Any HIGH_PRIORITY competitive gaps found?
  → "competitive_win"          (Opportunity to capture share - increase bids)

Any MEDIUM_PRIORITY gaps found?
  → "competitive_parity"       (Maintain position - standard bids)

No gaps detected?
  → "competitive_hold"         (Defend position - conservative bids)
```

| Position | Budget Direction | What It Means |
|----------|-----------------|---------------|
| competitive_win | Allocate incremental budget here | Competitors weak, you can capture share |
| competitive_parity | Maintain current allocation | Even playing field |
| competitive_hold | Watch for threats, defend | Competitors strong in this space |

**Update**: Monthly after running competitive monitoring (Module 14).

---

## Label 3: Competition Level (custom_label_3)

**Decision** (derived from keyword layer classification):
```
Is this product in a HEAD keyword pocket (Layer 1)?
  → "high_competition"         (Expect higher CPCs: $2-8+)

Is this product in a MID keyword pocket (Layer 2)?
  → "medium_competition"       (Expect balanced CPCs: $1-3)

Is this product in a TAIL keyword pocket (Layer 3)?
  → "low_competition"          (Expect lower CPCs: $0.30-1.50)

Is this an orphan rescue product?
  → "rescue"                   (Cap spend, test only)
```

| Level | CPC Range | Strategy |
|-------|-----------|----------|
| high_competition | $2-8+ | Needs strong ROAS to justify |
| medium_competition | $1-3 | Balanced approach |
| low_competition | $0.30-1.50 | Volume play |
| rescue | Minimal | Cap at $0.50 |

---

## Label 4: Funnel Layer (custom_label_4)

**Decision** (derived from source angle layer):
```
Is the source angle from Layer 1 (Core Commercial)?
  → "BOFU_layer1_core"

Layer 2 (Specificity)?
  → "BOFU_layer2_specificity"

Layer 7 (Shopping Micro-Intent)?
  → "BOFU_layer7_micro"

Layer 3 (Intent + Competitor)?
  → "MOFU_layer3_intent"

Layer 4 (Temporal)?
  → "MOFU_layer4_temporal"

Layer 5 (Persona)?
  → "MOFU_layer5_persona"

Layer 6 (Discovery)?
  → "TOFU_layer6_discovery"
```

| Funnel Value | Landing Page | Expected ROAS | Deployment Stage |
|-------------|-------------|---------------|-----------------|
| BOFU_layer1_core | Product detail page | 3.0+ | Stage 1 (first to deploy) |
| BOFU_layer2_specificity | Product detail page | 3.0+ | Stage 1 |
| BOFU_layer7_micro | Product detail page | 3.0+ | Stage 1 |
| MOFU_layer3_intent | Collection page | 1.5-3.0 | Stage 2 (after BOFU stable) |
| MOFU_layer4_temporal | Collection page | 1.5-3.0 | Stage 2 |
| MOFU_layer5_persona | Guide page | 1.5-3.0 | Stage 2 |
| TOFU_layer6_discovery | Presell/advertorial | 0.5-1.5 | Stage 3 (after MOFU validates) |

---

## Quick Assignment Flow

For each product, work through this sequence:

```
PRODUCT: _______________

1. Label 0 = pocket_{FUNNEL}_{NNN}_{intent}
   → _______________

2. Label 1 = tier_1_priority / tier_2_standard / tier_3_exploratory / tier_4_rescue
   (Based on: assignment_tier = _____, fit_score = _____)
   → _______________

3. Label 2 = competitive_win / competitive_parity / competitive_hold
   (Based on: competitive gaps = _____)
   → _______________

4. Label 3 = high_competition / medium_competition / low_competition / rescue
   (Based on: keyword layer = _____)
   → _______________

5. Label 4 = BOFU_layer{X}_{type} / MOFU_layer{X}_{type} / TOFU_layer6_discovery
   (Based on: source angle layer = _____)
   → _______________
```

Repeat for every product. Labels 2 updates monthly. Others update during segmentation refresh.

---

**Reference**: Module 4 (Feed Label Architecture) + Module 8 (Custom Label Strategy), The Shopping Domination System


# Bonus 6: Feed Quality Audit Template

**Standalone Value**: $200
**Purpose**: The exact audit framework we use on client accounts. Walk through each section with your feed export, document findings, and generate a prioritized fix list with estimated revenue impact.

---

## Pre-Audit Setup

Before starting the audit, gather these materials:

1. **Feed export** from Google Merchant Center (Products   All Products   Export)
2. **GMC Diagnostics** screenshot (Products   Diagnostics)
3. **Search terms report** from Shopping campaigns (last 90 days)
4. **Performance data** by product (last 90 days: clicks, cost, conversions, revenue)
5. **Margin data** by product or category (from your finance/ops team)

---

## Section 1: Feed Health Snapshot

Complete this section first for an overview of feed status.

| Metric | Your Value | Benchmark | Status |
|--------|-----------|-----------|--------|
| Total products in feed | ___ | N/A | ___ |
| Products approved | ___ | 95%+ | ___ |
| Products disapproved | ___ |  3% | ___ |
| Products pending | ___ |  2% | ___ |
| Feed processing errors | ___ | 0 | ___ |
| Feed processing warnings | ___ |  10 | ___ |
| Last feed update | ___ | Within 24hrs | ___ |
| Feed fetch frequency | ___ | Daily minimum | ___ |

**Quick Assessment**:
- All green? Proceed to detailed audit.
- Any disapprovals   5%? Fix disapprovals FIRST before optimizing anything else.
- Processing errors   0? These block products from serving. Emergency priority.

---

## Section 2: Title Audit (Sample 20 Products)

Pull 5 top sellers, 5 mid-range, 5 low performers, 5 random products.

For each product, evaluate:

| Product ID | Zone 1 (1-70) Primary KW? | Zone 1 KW SV  = 500? | Zone 2 (71-110) Present? | Zone 3 (111-150) + Brand? | Char Count 100-150? | Score /5 |
|-----------|----------------|--------------------|-----------------|-----------|--------------| ---------|
| ___ | Y/N | Y/N | Y/N | Y/N | Y/N | ___ |
| ___ | Y/N | Y/N | Y/N | Y/N | Y/N | ___ |
| ___ | Y/N | Y/N | Y/N | Y/N | Y/N | ___ |
| (repeat for 20 products) | | | | | | |

**Scoring**: 1 point per Y. Average across 20 products.

| Average Score | Assessment |
|--------------|------------|
| 4.5-5.0 | Titles are strong. Minor tweaks only. |
| 3.5-4.4 | Good foundation, systematic gaps to fix. |
| 2.5-3.4 | Significant title work needed. High-impact fix. |
| Below 2.5 | Titles are costing you serious money. Priority 1. |

---

## Section 3: Attribute Completeness Audit

Check these fields across your entire feed (use pivot tables or COUNTBLANK formulas):

| Attribute | % Filled | Required? | Revenue Impact |
|-----------|----------|-----------|---------------|
| title | ___% | Yes | Critical |
| description | ___% | Yes | High |
| brand | ___% | Yes | Critical |
| gtin | ___% | Conditional | Critical (disapprovals) |
| mpn | ___% | Conditional | High |
| google_product_category | ___% | Yes | High |
| product_type | ___% | Yes | Medium |
| color | ___% | Conditional | Medium |
| size | ___% | Conditional | Medium |
| material | ___% | No | Low-Medium |
| gender | ___% | Conditional | Medium |
| age_group | ___% | Conditional | Medium |
| additional_image_link | ___% | No | Medium |
| shipping_weight | ___% | No | Low |

**Red Flags**:
- Any required field below 100% = immediate fix
- GTIN below 90% = likely disapprovals active
- additional_image_link below 50% = CTR opportunity missed

---

## Section 4: Custom Label Audit (5-Layer Bidding Signal System)

| Label | Purpose | Format | % Products Assigned | Consistent? |
|-------|---------|--------|--------------------|--------------------|
| custom_label_0 | Segment ID | `pocket_{FUNNEL}_{NNN}_{intent}` | ___% | Y/N |
| custom_label_1 | Bidding tier | `tier_1_priority` / `tier_2_standard` / `tier_3_exploratory` / `tier_4_rescue` | ___% | Y/N |
| custom_label_2 | Competitive position | `competitive_win` / `competitive_parity` / `competitive_hold` | ___% | Y/N |
| custom_label_3 | Competition level | `high_competition` / `medium_competition` / `low_competition` / `rescue` | ___% | Y/N |
| custom_label_4 | Funnel layer | `BOFU_layer1_core` / `MOFU_layer3_intent` / `TOFU_layer6_discovery` / etc. | ___% | Y/N |

**Assessment**:
- All 5 labels at 100% and current? You have full bidding signal control.
- Any label below 100%? Products without labels can't be segmented into the right campaigns.
- Label 2 (competitive position) should be updated monthly after competitive monitoring cycle.
- Label 1 (bidding tier) should be updated after each segmentation refresh or performance review.

---

## Section 5: Price and Availability Check

| Check | Method | Result |
|-------|--------|--------|
| Feed prices match landing pages | Spot-check 10 products | ___/10 match |
| Sale prices currently valid | Check sale_price_effective_date | Y/N |
| Expired sales removed | Any sale_price without valid date? | Y/N |
| Out-of-stock products excluded | Count availability = out_of_stock | ___ products |
| Inventory sync frequency | How often does availability update? | ___ |

**Red Flags**:
- Price mismatches = potential suspension. Fix immediately.
- Stale out-of-stock products = wasted clicks + poor user experience.

---

## Section 6: URL and Image Check

| Check | Method | Result |
|-------|--------|--------|
| Product URLs resolve (no 404s) | Bulk URL checker on sample | ___/20 resolve |
| No redirect chains (max 1 redirect) | Check redirect depth | Y/N |
| URLs use HTTPS | Scan link column | ___% HTTPS |
| Primary images load | Bulk image checker on sample | ___/20 load |
| Image resolution 1500x1500+ | Check sample images | ___/20 meet minimum |
| No watermarks on primary images | Visual check on sample | ___/20 clean |

---

## Section 7: Revenue Impact Estimation

After completing the audit, estimate the revenue impact of fixing each gap:

| Issue Found | Products Affected | Est. Monthly Revenue Impact | Fix Difficulty |
|-------------|-------------------|---------------------------|----------------|
| ___ | ___ | $___ | Easy/Medium/Hard |
| ___ | ___ | $___ | Easy/Medium/Hard |
| ___ | ___ | $___ | Easy/Medium/Hard |
| ___ | ___ | $___ | Easy/Medium/Hard |
| ___ | ___ | $___ | Easy/Medium/Hard |

**Impact Estimation Guide**:
- Disapproved products: (Monthly clicks that product would get) x (Conversion rate) x (AOV)
- Title improvements: Expect 15-30% impression increase per improved product
- Missing attributes: Expect 10-20% relevance improvement
- Custom label gaps: Expect 20-40% efficiency gain from proper segmentation

---

## Prioritized Fix List

After completing all sections, rank your fixes:

| Priority | Fix | Section | Estimated Impact | Timeline |
|----------|-----|---------|-----------------|----------|
| 1 | ___ | ___ | $___ | ___ |
| 2 | ___ | ___ | $___ | ___ |
| 3 | ___ | ___ | $___ | ___ |
| 4 | ___ | ___ | $___ | ___ |
| 5 | ___ | ___ | $___ | ___ |

**General Priority Order**:
1. Feed integrity (disapprovals, errors, price mismatches)
2. Title optimization (highest impression share impact)
3. Attribute completeness (relevance scoring)
4. Custom label architecture (segmentation and budgeting)
5. Description and image improvements (conversion rate)

---

## Automated Validation Scoring (from the 4-Phase GMC Validation System)

The full 152-Point Quality System (Module 13) includes automated scoring. Here's the quick version you can run on any feed export:

### Phase 1: Structural Compliance (40 points)
Checks that your feed won't get rejected by GMC. All-or-nothing checks:
- Required fields present (id, title, description, link, image_link, price, availability, brand)
- GTIN format valid (12 digits for UPC, 13 for EAN) with check digit verification
- No duplicate IDs
- Prices   0 with proper currency format ("29.99 USD")
- URLs resolve (no 404s or redirect chains)

### Phase 2: Content Quality (40 points)
Scores the quality of your product data:
- **Titles** (15 pts): Character count 100-150, Zone Architecture compliance, SV-verified keywords
- **Descriptions** (10 pts): Funnel-appropriate length (BOFU 800-1,000 chars, MOFU 900-1,100, TOFU 1,000-1,200), no HTML tags, keyword integration
- **Attributes** (8 pts): Color, size, material filled where applicable. Color must not be from the blocklist: 'assorted', 'various', 'multi', 'mixed', 'n/a', 'na', 'none'
- **Prices** (4 pts): sale_price   price, no expired sale dates, currency matches target country
- **Labels** (3 pts): All 5 custom labels populated with valid values

### Phase 3: Semantic Quality (15 points)
Checks that content makes sense, not just that it exists:
- Titles contain search-volume-verified keywords (not guessed)
- Descriptions pass the 3-Rule Copy Filter (Visualizable, Falsifiable, Unique)
- No promotional text in fields (11 regex patterns checked: "sale," "discount," "free," "buy one," etc.)
- Product highlights between 10-150 characters each

### Phase 4: Upload Readiness (5 points)
Final deployment checks:
- Feed file encoding (UTF-8)
- All 31 columns present in canonical order
- No unescaped delimiters in field values

### Auto-Fix Loop
The automated validator runs up to 3 fix iterations. Each pass fixes what it can (truncate long highlights, infer shipping weights, correct GTIN formats) and re-scores. If the score improves but is still below threshold, it runs again. Three passes typically resolve 60-80% of fixable issues without human intervention.

### Score Thresholds

| Tier | Score Range | Deployment Status |
|------|-----------|-------------------|
| STELLAR | 98+ / 100 | Auto-proceed to deployment |
| GOOD | 95-97 | Deploy with minor fix recommendations |
| FAIR | 90-94 | Fix recommendations required before deployment |
| POOR | Below 90 | Blocked from deployment until fixes applied |

---

**Reference**: Module 13 (The 152-Point Quality System) + Module 14 (Weekly Optimization Cadence), The Shopping Domination System


# Bonus 7: GMC Disapproval Fix Database

**Standalone Value**: $250
**Purpose**: The 30 most common Google Merchant Center disapproval reasons with exact fix procedures. Stop guessing why products are disapproved. Look up the error code, follow the fix, and get your products back live.

---

## How to Use This Database

1. Go to GMC   Products   Diagnostics
2. Find the disapproval reason for your affected products
3. Look it up in the table below
4. Follow the exact fix procedure
5. Request re-review in GMC after applying the fix

**Important**: Some disapprovals clear automatically after feed re-processing (24-48 hours). Others require manual review request. The "Re-review" column tells you which.

---

## Category 1: Product Data Issues (10 Disapprovals)

### 1. Missing or invalid GTIN
**Error**: `gtin [attribute] invalid`
**Cause**: GTIN is missing, has wrong number of digits, or fails check digit validation.
**Fix**:
1. Verify GTIN length: UPC = 12 digits, EAN = 13 digits, ISBN = 13 digits
2. Run check digit validation (last digit is calculated from first 11-12)
3. If product has no GTIN: remove the field entirely and ensure brand + MPN are set
4. If GTIN is correct but still failing: check for leading zeros being stripped by Excel/Sheets
**Re-review**: Automatic after feed update

### 2. Missing required attribute: price
**Error**: `price [attribute] missing`
**Cause**: Price field is empty or formatted incorrectly.
**Fix**:
1. Ensure price includes currency code: "29.99 USD" not just "29.99"
2. Use period as decimal separator (not comma)
3. No currency symbols ($, EUR, etc.) - use ISO currency codes
4. Verify price is   0
**Re-review**: Automatic after feed update

### 3. Title too long or too short
**Error**: `title [attribute] too long` or `title [attribute] too short`
**Cause**: Title exceeds 150 characters or is under 10 characters.
**Fix**:
1. Google allows up to 150 chars, but truncates in Shopping carousel at ~70 chars
2. Aim for 100-150 characters using Zone Architecture (Zone 1: chars 1-70, Zone 2: chars 71-110, Zone 3: chars 111-150)
3. Remove redundant words if over 150
4. Add Zone 2/3 attributes if under 100 chars
**Re-review**: Automatic after feed update

### 4. Missing required attribute: description
**Error**: `description [attribute] missing`
**Cause**: Description field is empty.
**Fix**:
1. Add product description (800-1,200 characters recommended, funnel-specific: BOFU 800-1,000 chars, MOFU 900-1,100 chars, TOFU 1,000-1,200 chars)
2. Do not copy title into description
3. Do not use HTML tags unless using the description_html field
4. Include 3-5 relevant keywords naturally
**Re-review**: Automatic after feed update

### 5. Mismatched price
**Error**: `price [attribute] mismatch`
**Cause**: Feed price does not match the price on the landing page.
**Fix**:
1. Verify feed price exactly matches what the product page shows
2. Check for regional pricing discrepancies
3. If using sale_price, verify the sale is active on the landing page
4. Check for tax-inclusive vs. tax-exclusive mismatches
5. Ensure currency matches the target country
**Re-review**: Automatic (Google re-crawls the page)

### 6. Missing required attribute: image_link
**Error**: `image_link [attribute] missing or invalid`
**Cause**: No primary image, broken URL, or image doesn't meet requirements.
**Fix**:
1. Provide a direct URL to the image (not a redirect)
2. Image must be 100x100px minimum (1500x1500 recommended)
3. No placeholder images ("no image available")
4. URL must use HTTPS
5. Image must be JPEG, PNG, GIF, BMP, or TIFF
**Re-review**: Automatic after feed update

### 7. Duplicate product IDs
**Error**: `id [attribute] duplicate`
**Cause**: Two or more products share the same ID value.
**Fix**:
1. Every product must have a unique ID
2. Check for copy-paste errors in your feed
3. Variant products need distinct IDs (use item_group_id to group them)
4. IDs should be stable - don't change them between uploads
**Re-review**: Automatic after feed update

### 8. Invalid google_product_category
**Error**: `google_product_category [attribute] invalid`
**Cause**: Category ID or path doesn't match Google's taxonomy.
**Fix**:
1. Use the official Google Product Taxonomy (search "Google product taxonomy")
2. Use the most specific category available (not broad categories)
3. You can use either the numeric ID or the full text path
4. Update if Google has deprecated your category
**Re-review**: Automatic after feed update

### 9. Missing variant attributes
**Error**: `color/size/material [attribute] missing for variant`
**Cause**: Variant products (with item_group_id) are missing required variant attributes.
**Fix**:
1. If products share an item_group_id, they MUST have variant attributes (color, size, etc.)
2. Each variant must have a unique combination of variant attributes
3. For apparel: color, size, gender, and age_group are all required
4. Use consistent formatting ("Blue" not "blue" or "BLUE")
**Re-review**: Automatic after feed update

### 10. Availability not matching landing page
**Error**: `availability [attribute] mismatch`
**Cause**: Feed says "in_stock" but product page shows out of stock (or vice versa).
**Fix**:
1. Sync feed availability with real-time inventory
2. Set up automated inventory sync (daily minimum, hourly preferred)
3. For pre-order products, use "preorder" not "in_stock"
4. Remove or set to "out_of_stock" for discontinued products
**Re-review**: Automatic (Google re-crawls)

---

## Category 2: Policy Violations (10 Disapprovals)

### 11. Prohibited content
**Error**: `policy violation: prohibited content`
**Cause**: Product falls into a prohibited category (weapons, drugs, counterfeit, etc.).
**Fix**:
1. Review Google's prohibited content policy
2. If product is genuinely prohibited: remove from feed
3. If misclassified: update product_type and google_product_category to correct category
4. Remove any prohibited keywords from title/description
**Re-review**: Manual review request required

### 12. Misleading or unrealistic promotions
**Error**: `policy violation: misleading promotions`
**Cause**: Sale price, discount claims, or promotional text violates policy.
**Fix**:
1. Ensure sale_price is genuinely lower than price
2. Remove "FREE" from titles unless product is actually free
3. Don't use fake original prices to inflate discount percentages
4. Sale prices must be available to all users (no conditional discounts)
**Re-review**: Manual review request required

### 13. Missing return/refund policy
**Error**: `policy violation: missing return policy`
**Cause**: Website doesn't have a visible return/refund policy.
**Fix**:
1. Add a clear return/refund policy page to your website
2. Link it from the footer (visible on all pages)
3. Include: return window, conditions, refund method, return shipping responsibility
4. Ensure the policy page is crawlable (not blocked by robots.txt)
**Re-review**: Manual review request required

### 14. Missing contact information
**Error**: `policy violation: missing contact information`
**Cause**: Website doesn't display adequate contact information.
**Fix**:
1. Add a contact page with at least one of: phone number, email address, contact form
2. Add physical business address (required in many countries)
3. Link contact page from the footer
4. Ensure contact information is consistent with GMC account details
**Re-review**: Manual review request required

### 15. Misrepresentation
**Error**: `policy violation: misrepresentation`
**Cause**: Product information, business identity, or website content is misleading.
**Fix**:
1. Ensure product images match actual product
2. Remove exaggerated claims from descriptions
3. Verify business name consistency across GMC, website, and legal docs
4. Check for copied content from other retailers
5. This is serious - may require account-level appeal
**Re-review**: Manual review request required (may need formal appeal)

### 16. Landing page not working
**Error**: `policy violation: landing page issue`
**Cause**: Product URL returns an error, loads too slowly, or redirects improperly.
**Fix**:
1. Verify all product URLs return 200 status codes
2. Remove redirect chains (direct URLs only)
3. Ensure pages load in under 3 seconds
4. Fix any SSL certificate errors
5. Ensure landing page is mobile-friendly
**Re-review**: Automatic after Google re-crawls

### 17. Checkout issues
**Error**: `policy violation: checkout issues`
**Cause**: Products can't be purchased through the checkout process.
**Fix**:
1. Test the full checkout flow for affected products
2. Ensure "Add to Cart" works on product pages
3. Verify payment processing is functional
4. Check for geo-restrictions that might block Google's crawler
5. Ensure the checkout is secure (HTTPS throughout)
**Re-review**: Manual review request required

### 18. Adult content without proper labeling
**Error**: `policy violation: adult content`
**Cause**: Product contains adult content that isn't properly labeled.
**Fix**:
1. Add `adult: yes` attribute to the feed for applicable products
2. Ensure your GMC account has adult content enabled (if eligible)
3. Remove adult content if your account type doesn't support it
4. Some categories (lingerie, swimwear) may trigger this - use proper categorization
**Re-review**: Manual review request required

### 19. Trademark issue
**Error**: `policy violation: trademark`
**Cause**: Using a trademarked term in a way that violates policy.
**Fix**:
1. Only use brand names you're authorized to sell
2. If you're an authorized reseller: submit reseller authorization to Google
3. Remove unauthorized brand names from titles/descriptions
4. For compatible/replacement products: use "compatible with [brand]" not "[brand] [product]"
**Re-review**: Manual review request required

### 20. Suspicious claim
**Error**: `policy violation: suspicious claim`
**Cause**: Product makes health, weight loss, or other regulated claims.
**Fix**:
1. Remove medical/health claims from titles and descriptions
2. Don't use "cure," "treat," "prevent" for non-medical products
3. Remove weight loss guarantees
4. Remove "FDA approved" unless actually FDA approved
5. Use factual, verifiable statements only
**Re-review**: Manual review request required

---

## Category 3: Technical Issues (10 Disapprovals)

### 21. Feed processing error
**Error**: `feed processing error`
**Cause**: Feed file is malformed, has encoding issues, or exceeds limits.
**Fix**:
1. Check file encoding (use UTF-8)
2. Ensure CSV delimiters are consistent (tab-separated recommended)
3. Check for unescaped quotes within field values
4. Verify file size is under Google's limits
5. Re-upload a clean feed file
**Re-review**: Automatic after successful feed processing

### 22. Crawl error on product page
**Error**: `crawl issue: [specific error]`
**Cause**: Google's crawler can't access the product landing page.
**Fix**:
1. Check robots.txt - ensure product pages aren't blocked
2. Verify no geo-blocking is blocking Google's US-based crawler
3. Check server response times (must respond within Google's timeout)
4. Remove any CAPTCHA or bot protection on product pages
5. Ensure pages are in the sitemap
**Re-review**: Automatic after Google re-crawls

### 23. Microdata mismatch
**Error**: `microdata/structured data mismatch`
**Cause**: Product structured data on the landing page conflicts with feed data.
**Fix**:
1. Ensure Schema.org Product markup matches feed data (price, availability, name)
2. Update either the structured data or the feed to match
3. Price in structured data must match feed price exactly
4. Availability in structured data must match feed availability
**Re-review**: Automatic after Google re-crawls

### 24. Image too small
**Error**: `image_link [attribute] too small`
**Cause**: Primary image is below minimum resolution requirements.
**Fix**:
1. Minimum: 100x100px for most products
2. Minimum: 250x250px for apparel
3. Recommended: 1500x1500px or larger
4. Don't upscale small images - use original high-resolution files
5. Check additional_image_link images too
**Re-review**: Automatic after feed update

### 25. Promotional overlay on image
**Error**: `image [attribute] promotional overlay`
**Cause**: Primary product image contains text, watermarks, or promotional badges.
**Fix**:
1. Remove all text overlays from primary image
2. Remove watermarks, logos, and badges
3. Remove "SALE," "FREE SHIPPING," or similar promotions from image
4. Product should be the only element on a clean background
5. Promotional elements are allowed in additional_image_link images
**Re-review**: Automatic (may take several days for image re-evaluation)

### 26. Excessive capitalization in title
**Error**: `title [attribute] excessive capitalization`
**Cause**: Title uses all caps or excessive capital letters.
**Fix**:
1. Use title case or sentence case (not ALL CAPS)
2. Exception: brand names that are officially all-caps (e.g., "BMW")
3. Exception: standard abbreviations (e.g., "USB," "LED")
4. Convert "NIKE AIR MAX RUNNING SHOES" to "Nike Air Max Running Shoes"
**Re-review**: Automatic after feed update

### 27. Generic image
**Error**: `image [attribute] generic`
**Cause**: Image is a placeholder, stock photo, or doesn't show the actual product.
**Fix**:
1. Use actual product photography
2. Don't use category-level images for individual products
3. Don't use manufacturer stock photos if they don't match your actual product
4. Each product variant should have its own unique image
**Re-review**: Automatic (may take several days)

### 28. Currency mismatch
**Error**: `price [attribute] currency mismatch`
**Cause**: Feed currency doesn't match the target country's expected currency.
**Fix**:
1. Use the currency of the target country (USD for US, GBP for UK, etc.)
2. Format: "29.99 USD" (number, space, ISO currency code)
3. If selling cross-border: set up proper currency conversion in GMC
4. Ensure sale_price uses the same currency as price
**Re-review**: Automatic after feed update

### 29. Landing page too slow
**Error**: `landing page performance issue`
**Cause**: Product page takes too long to load for Google's crawler.
**Fix**:
1. Optimize page load speed (target under 3 seconds)
2. Compress images on the product page
3. Enable browser caching
4. Minimize JavaScript blocking render
5. Use Google PageSpeed Insights to identify specific issues
**Re-review**: Automatic after Google re-crawls

### 30. Feed schedule failure
**Error**: `scheduled fetch failed`
**Cause**: Google couldn't retrieve your feed at the scheduled time.
**Fix**:
1. Verify the feed URL is accessible (test in browser)
2. Check server uptime during scheduled fetch times
3. Ensure no authentication is required to access the feed URL
4. Check for IP-based blocking that might affect Google's servers
5. Try manual upload to verify the feed file itself is valid
**Re-review**: Automatic on next successful fetch

---

## Disapproval Severity Quick Reference

| Severity | Disapprovals | Action |
|----------|-------------|--------|
| Critical (suspend risk) | 11, 15, 17 | Fix within 24 hours |
| High (revenue loss) | 1, 5, 6, 10, 16, 22 | Fix within 48 hours |
| Medium (performance hit) | 2, 3, 4, 7, 8, 9, 23, 24 | Fix within 1 week |
| Low (optimization) | 25, 26, 27, 28, 29, 30 | Fix in next feed update |

---

## Automated Remediation Patterns

The S.H.O.P. Protocol includes automated remediation for the most common issues. Here's how the system handles each programmatically:

### Landing Page Errors (Disapproval #16)
Instead of removing products (which loses historical data), the system sets `excluded_destination = "Shopping_ads,Free_listings"`. The product stays in your feed but stops serving. When the landing page is fixed, remove the exclusion and the product resumes with its full history intact.

### Missing Shipping Weight (Disapproval #21 variant)
The system infers weight from the product title using a keyword-to-weight mapping. Examples: "hammock" -  1.5 lb, "sleeping bag" -  3.0 lb, "tent" -  4.0 lb, "jacket" -  1.2 lb. Products that don't match any keyword get a 1.0 lb default. Valid weight format is always `{number} {unit}` with a space separator (e.g., "1.5 lb", not "1.5lb").

### Product Highlights Too Few (Disapproval #9 variant)
GMC requires minimum 2 product highlights. The system generates highlights from the title by splitting on pipe and comma delimiters, keeping segments between 10-150 characters. If that still yields fewer than 2, it generates category-appropriate generic highlights (e.g., outdoor gear gets "Ultralight design for backpacking" and "Durable ripstop nylon construction").

### Text Value Too Long (Disapproval #3 variant)
Each highlight is truncated to 150 characters at a word boundary - it finds the last space before character 147 and appends "..." rather than cutting mid-word.

### Google Category Unrecognized (Disapproval #8)
The system maps product title keywords to the correct Google Product Taxonomy path. Example: a title containing "hammock" maps to `Sporting Goods   Outdoor Recreation   Camping   Hiking   Camp Furniture`. This uses a keyword-to-category dictionary built from the 20 most common misclassifications across 160+ accounts.

### Policy Violations (Disapprovals #11-20)
The system handles two categories:
- **Products that must be excluded** (e.g., tactical knives): Sets `excluded_destination` to remove from Shopping/Free listings entirely. These products can still sell through your website - they just can't advertise on Shopping.
- **False positive trigger words**: Replaces words that trigger false violations. Example: "wine" (in color context) gets replaced with "color" to avoid alcohol policy flags. "Tactical knife" becomes excluded because it can't be advertised on Shopping regardless of context.

**Safety guardrail**: The system will not delete or exclude more than 10% of a feed's products without explicit confirmation. This prevents accidental mass exclusion from a single remediation run.

### Remediation Workflow

The recommended sequence for fixing disapprovals:

1. **Export GMC status** (Products   Diagnostics   Export)
2. **Run automated remediation** in dry-run mode first to preview changes
3. **Review the changes** - the system reports exactly what it will fix per segment
4. **Apply fixes** - the system processes each segment feed independently
5. **Re-upload** corrected segment feeds to GMC
6. **Request re-review** for policy violations (auto-fixes re-process within 24-48 hours)

---

**Reference**: Module 12 (GMC Diagnostics and Recovery) + Module 14 (Weekly Optimization), The Shopping Domination System


# Bonus 8: Seasonal Modifier Calendar

**Standalone Value**: $100
**Purpose**: 12-month calendar showing when and how to adjust Shopping feed titles, bids, and budgets for seasonal demand shifts. Plan your optimizations 30 days ahead instead of reacting when it's already too late.

---

## How to Use This Calendar

1. At the start of each month, review the upcoming 30-day window
2. Apply title modifiers to Zone 3 for seasonal relevance
3. Adjust bid multipliers based on seasonal demand
4. Shift budget allocation between segments
5. Remove seasonal modifiers within 48 hours of the event passing

**Rule**: Seasonal modifiers go in Zone 3 only. Never change Zone 1 (primary keyword, chars 1-70) or Zone 2 (secondary keyword + benefit, chars 71-110) for seasonal reasons.

---

## January

**Key Events**: New Year, post-holiday returns, "new year new me" demand
**Demand Pattern**: Sharp drop after Jan 2, recovery mid-month

| Week | Title Modifier (Zone 3) | Bid Adjustment | Budget Shift |
|------|------------------------|----------------|-------------|
| 1-2 | "New Year" / "2026" where relevant | -15% from Dec peaks | Shift from gifting to personal-use segments |
| 3-4 | Remove holiday references | Return to baseline | Rebalance to standard allocation |

**Categories with January spikes**: Fitness equipment (+180%), health supplements (+120%), organizational products (+90%), planners and journals (+200%)

---

## February

**Key Events**: Valentine's Day (14th), Presidents' Day sales (third Monday)
**Demand Pattern**: Steady build to Valentine's peak, secondary Presidents' Day bump

| Week | Title Modifier (Zone 3) | Bid Adjustment | Budget Shift |
|------|------------------------|----------------|-------------|
| 1 | Add "Valentine Gift" to gift-eligible products | +10% on gift segments | Begin Valentine budget ramp |
| 2 | "Valentine's Day" / "For Him" / "For Her" | +20-30% on gift segments | Peak Valentine allocation |
| 3 | Remove Valentine modifiers by Feb 16 | Return to baseline | Rebalance standard |
| 4 | Standard | Baseline | Standard |

**Categories with February spikes**: Jewelry (+250%), flowers/plants (+400%), chocolates (+300%), perfume/cologne (+150%)

---

## March

**Key Events**: Spring seasonal shift, March Madness, St. Patrick's Day
**Demand Pattern**: Gradual spring shift, moderate event bumps

| Week | Title Modifier (Zone 3) | Bid Adjustment | Budget Shift |
|------|------------------------|----------------|-------------|
| 1-2 | Begin "Spring" modifiers for seasonal products | +5% on spring categories | Shift toward spring inventory |
| 3-4 | "Spring 2026" / seasonal color variants | +10% on spring categories | Reduce winter clearance budgets |

**Categories with March spikes**: Gardening supplies (+150%), outdoor furniture (+100%), allergy products (+200%), spring apparel (+80%)

---

## April

**Key Events**: Easter (varies), Earth Day (22nd), spring peak
**Demand Pattern**: Easter bump, consistent spring demand

| Week | Title Modifier (Zone 3) | Bid Adjustment | Budget Shift |
|------|------------------------|----------------|-------------|
| Easter week | "Easter" / "Spring Gift" on relevant products | +15% on Easter-relevant segments | Easter allocation bump |
| Post-Easter | Remove Easter modifiers within 48 hours | Return to spring baseline | Standard spring allocation |

**Categories with April spikes**: Candy (+300% Easter week), spring decor (+120%), eco-friendly products (+80% around Earth Day)

---

## May

**Key Events**: Mother's Day (second Sunday), Memorial Day (last Monday)
**Demand Pattern**: Strong Mother's Day build, Memorial Day kickoff to summer

| Week | Title Modifier (Zone 3) | Bid Adjustment | Budget Shift |
|------|------------------------|----------------|-------------|
| 1 | Add "Mother's Day Gift" / "Gift for Mom" | +15% on gift segments | Ramp Mother's Day budget |
| 2 | Peak Mother's Day modifiers | +25-35% on gift segments | Peak Mother's Day allocation |
| 3 | Remove Mother's Day by May 14 | Return to baseline | Rebalance |
| 4 | "Memorial Day Sale" if running promotions | +10% on sale items | Sale segment allocation |

**Categories with May spikes**: Jewelry (+200%), flowers (+350%), kitchen appliances (+100%), spa/beauty sets (+180%)

---

## June

**Key Events**: Father's Day (third Sunday), summer begins, Pride Month
**Demand Pattern**: Father's Day build, summer product shift

| Week | Title Modifier (Zone 3) | Bid Adjustment | Budget Shift |
|------|------------------------|----------------|-------------|
| 1-2 | Add "Father's Day Gift" / "Gift for Dad" | +15% on relevant segments | Father's Day ramp |
| 3 | Peak Father's Day modifiers | +20-30% on gift segments | Peak allocation |
| 4 | "Summer" / "Summer 2026" on seasonal products | Return to baseline | Shift to summer inventory |

**Categories with June spikes**: Tools (+150%), electronics (+80%), grilling/BBQ (+200%), men's accessories (+120%)

---

## July

**Key Events**: Fourth of July, Prime Day (varies), summer peak
**Demand Pattern**: Holiday bump, competitive pressure from Prime Day

| Week | Title Modifier (Zone 3) | Bid Adjustment | Budget Shift |
|------|------------------------|----------------|-------------|
| 1 | "4th of July" / "Independence Day" where relevant | +10% broad | Holiday allocation |
| 2-3 | Compete with Prime Day - add value props | +15-20% on competitive segments | Increase competitive budgets |
| 4 | Standard summer modifiers | Return to baseline | Standard summer allocation |

**Categories with July spikes**: Outdoor/patio (+150%), patriotic products (+500%), summer apparel (+60%), travel accessories (+80%)

---

## August

**Key Events**: Back to School, summer clearance, Labor Day prep
**Demand Pattern**: Strong BTS demand, summer wind-down

| Week | Title Modifier (Zone 3) | Bid Adjustment | Budget Shift |
|------|------------------------|----------------|-------------|
| 1-2 | "Back to School" / "BTS" on relevant products | +20% on BTS segments | Heavy BTS allocation |
| 3-4 | Continue BTS, begin "Fall" modifiers | +15% on BTS, +5% on fall | Transition toward fall |

**Categories with August spikes**: Backpacks (+400%), school supplies (+500%), laptops (+120%), dorm essentials (+300%)

---

## September

**Key Events**: Labor Day (first Monday), fall seasonal shift
**Demand Pattern**: BTS tail, fall transition, early holiday planning

| Week | Title Modifier (Zone 3) | Bid Adjustment | Budget Shift |
|------|------------------------|----------------|-------------|
| 1 | "Labor Day" if running sales | +10% on sale segments | Sale allocation |
| 2-4 | "Fall 2026" / autumn modifiers | Baseline to +5% | Shift to fall inventory |

**Categories with September spikes**: Fall decor (+150%), cozy home products (+100%), back-to-office accessories (+80%)

---

## October

**Key Events**: Halloween (31st), early holiday shopping begins, Prime Early Access
**Demand Pattern**: Halloween build, early holiday research starts

| Week | Title Modifier (Zone 3) | Bid Adjustment | Budget Shift |
|------|------------------------|----------------|-------------|
| 1-2 | Compete with Prime Early Access deals | +10% competitive | Monitor deal competition |
| 3 | "Halloween" on relevant products | +15% on Halloween segments | Halloween allocation |
| 4 | Peak Halloween + begin "Holiday Gift" testing | +20% on Halloween, +5% gift | Dual allocation |

**Categories with October spikes**: Costumes (+800%), candy (+200%), decorations (+300%), pumpkin-themed products (+500%)

---

## November

**Key Events**: Black Friday (fourth Friday), Cyber Monday, Thanksgiving
**Demand Pattern**: Massive ramp from mid-November through Cyber Monday

| Week | Title Modifier (Zone 3) | Bid Adjustment | Budget Shift |
|------|------------------------|----------------|-------------|
| 1-2 | "Holiday Gift" / "Gift Guide" on gift items | +15% across board | Begin holiday ramp |
| 3 | Pre-Black Friday modifiers if running early deals | +25-40% on deal items | Heavy deal allocation |
| 4 (BF/CM) | "Black Friday" / "Cyber Monday" / "Holiday Deal" | +40-60% peak | Maximum allocation |

**CRITICAL**: Black Friday/Cyber Monday is the highest-volume Shopping period. Budget must be uncapped on top performers. CPC will spike 40-80% - plan for it.

---

## December

**Key Events**: Christmas (25th), Hanukkah, last-minute shipping deadlines
**Demand Pattern**: Peak first two weeks, sharp drop after shipping cutoffs

| Week | Title Modifier (Zone 3) | Bid Adjustment | Budget Shift |
|------|------------------------|----------------|-------------|
| 1 | "Christmas Gift" / "Holiday Gift" / shipping deadlines | +30-50% on gift items | Peak holiday allocation |
| 2 | Add "Last Minute Gift" / "Arrives Before Christmas" | +40-60% peak | Maximum gift allocation |
| 3 | "Last Minute" / "Gift Card" / digital products | Taper as shipping cutoffs pass | Shift to digital/gift cards |
| 4 | Remove holiday modifiers by Dec 26 | -30% from peak | Begin post-holiday rebalance |

**CRITICAL**: Know your shipping cutoff dates. After the last ground shipping date, only promote items with express shipping or digital delivery. After Dec 23, pivot entirely to gift cards and digital products.

---

## Seasonal Budget Multiplier Summary

| Month | Budget Multiplier vs. Baseline | Notes |
|-------|-------------------------------|-------|
| January | 0.85x | Post-holiday dip |
| February | 1.0x (1.2x gift segments) | Valentine's bump |
| March | 1.0x | Spring transition |
| April | 1.05x | Easter bump |
| May | 1.1x | Mother's Day |
| June | 1.05x | Father's Day |
| July | 1.1x | Prime Day competition |
| August | 1.15x | Back to School |
| September | 1.0x | Transition |
| October | 1.1x | Halloween + early holiday |
| November | 1.5-2.0x | BFCM peak |
| December | 1.5x (week 1-2), 0.8x (week 3-4) | Holiday peak then drop |

---

## Multi-Market Event Calendar

The system includes pre-built event calendars for 6 markets. Each event is classified into a tier that maps directly to bid and budget adjustments:

| Tier | Bid Modifier | Budget Increase | Prep Days Before Event |
|------|-------------|----------------|----------------------|
| **Critical** | 1.5x baseline CPC | +200% daily budget | 30 days |
| **Major** | 1.3x baseline CPC | +100% daily budget | 21 days |
| **Medium** | 1.15x baseline CPC | +50% daily budget | 14 days |
| **Minor** | 1.05x baseline CPC | +25% daily budget | 7 days |

### US Market (16 events)

| Event | Date Range | Tier | Bid Modifier | Budget | Prep Start |
|-------|-----------|------|-------------|--------|------------|
| New Year Sales | Jan 1-15 | Major | 1.3x | +100% | Dec 11 |
| Valentine's Day | Feb 1-14 | Medium | 1.15x | +50% | Jan 18 |
| Presidents' Day | Feb 15-20 | Minor | 1.05x | +25% | Feb 8 |
| Easter | Mar 15 - Apr 15* | Medium | 1.15x | +50% | Mar 1 |
| Mother's Day | May 1-15 | Major | 1.3x | +100% | Apr 10 |
| Memorial Day | May 20-31 | Medium | 1.15x | +50% | May 6 |
| Father's Day | Jun 1-20 | Medium | 1.15x | +50% | May 18 |
| July 4th | Jun 25 - Jul 7 | Major | 1.3x | +100% | Jun 4 |
| Back to School | Aug 1 - Sep 15 | Major | 1.3x | +100% | Jul 11 |
| Labor Day | Aug 28 - Sep 5 | Medium | 1.15x | +50% | Aug 14 |
| Halloween | Oct 1-31 | Medium | 1.15x | +50% | Sep 17 |
| Thanksgiving | Nov 15-28 | Major | 1.3x | +100% | Oct 25 |
| **Black Friday** | **Nov 28 - Dec 2** | **Critical** | **1.5x** | **+200%** | **Oct 29** |
| **Cyber Monday** | **Dec 1-3** | **Critical** | **1.5x** | **+200%** | **Nov 1** |
| **Holiday Season** | **Dec 1-24** | **Critical** | **1.5x** | **+200%** | **Nov 1** |
| Year-End Clearance | Dec 26-31 | Major | 1.3x | +100% | Dec 5 |

*Variable date - check annually

### UK Market (11 events)

| Event | Date Range | Tier | Bid Modifier |
|-------|-----------|------|-------------|
| January Sales | Jan 1-31 | Major | 1.3x |
| Valentine's Day | Feb 1-14 | Medium | 1.15x |
| Mother's Day UK | Mar 1-31* | Major | 1.3x |
| Easter | Mar 15 - Apr 20* | Medium | 1.15x |
| Bank Holiday May | May 1-10 | Minor | 1.05x |
| Father's Day | Jun 1-20 | Medium | 1.15x |
| Summer Sales | Jul 1-31 | Major | 1.3x |
| Back to School | Aug 15 - Sep 15 | Major | 1.3x |
| **Black Friday** | **Nov 25 - Dec 2** | **Critical** | **1.5x** |
| **Christmas** | **Dec 1-25** | **Critical** | **1.5x** |
| Boxing Day Sales | Dec 26 - Jan 5 | Major | 1.3x |

**UK-specific note**: Mother's Day falls in March (not May), and Boxing Day Sales run into the new year.

### Germany (DE), France (FR), Canada (CA), Australia (AU)

Full event calendars with localized events are included for all 6 markets. Key differences:

- **Germany**: Ostern (Easter) is Major tier (not Medium like US). Winterschlussverkauf (winter clearance) runs Dec 26 - Jan 31.
- **France**: Soldes d'hiver (winter sales) run Jan 1 - Feb 15 at Major tier. Fete des Meres (Mother's Day) falls in late May/early June.
- **Canada**: Thanksgiving CA is in October (Major tier). Boxing Day is separate from Christmas.
- **Australia**: Father's Day AU is in September (not June). End of Financial Year (Jun 15-30) is a Major tier event unique to AU.

**How to use across markets**: When running feeds in multiple countries, each market gets its own modifier calendar. A product selling in both US and UK will have different Zone 3 title modifiers and different bid adjustments during the same calendar week. The system prevents you from applying US Valentine's Day modifiers to a UK feed during Mother's Day UK preparation.

---

**Reference**: Module 14 (Weekly Optimization Cadence + Seasonal Planning), The Shopping Domination System


# Bonus 9: Angle Explosion Template

**Standalone Value**: $200
**Purpose**: Systematic worksheet for generating 380-620 unique angles from a single product catalog using the 7-Layer Angle System. Most brands run 5-10 angles. This template shows you how to extract hundreds from the same products.

---

## Why Angle Explosion Matters

Every angle is a different reason someone might buy your product. A running shoe isn't just "a running shoe." It's a marathon training shoe, a flat feet solution, a lightweight race day shoe, a wide foot option, and a pronation corrector. Each angle targets a different searcher with different intent.

More angles = more keyword coverage = more impression share = more revenue from the same product catalog.

The 7-Layer system ensures you extract angles systematically instead of guessing.

---

## The 7 Layers

| Layer | Name | Target | Funnel | Example Angles (Running Shoe) |
|-------|------|--------|--------|------------------------------|
| 1. Core Commercial + Shopping Modifiers | core_commercial | 120 | BOFU | "Nike Running Shoes Buy Online", "Running Shoes Free Shipping", "Best Price Running Shoes" |
| 2. Specificity (color/size/material) | specificity | 110 | BOFU | "Lightweight 8.5oz", "Breathable Mesh Upper", "Wide Fit Size 11", "Waterproof Trail" |
| 3. Intent + Competitor Theft | intent_competitor | 100 | MOFU | "vs. Nike Pegasus", "Better Than Brooks Ghost", "Best Running Shoes 2026" |
| 4. Temporal (seasonal/trending) | temporal | 50 | MOFU | "Summer Running Shoes 2026", "Marathon Season", "Black Friday Running Shoes" |
| 5. Persona (demographics/experience) | persona | 70 | MOFU | "For Beginners", "Senior Runners", "Flat Feet Women", "Heavy Runners 200+ lbs" |
| 6. Discovery Stage | discovery | 40 | TOFU | "How to Fix Knee Pain While Running", "Best Shoes for Plantar Fasciitis" |
| 7. Shopping Micro-Intent | shopping_micro_intent | 80 | BOFU | "Running Shoes Under $100", "Top Rated 4.5 Stars+", "Cushioned 10mm Drop Neutral" |

---

## Step-by-Step Template

### Step 1: Product Selection

Pick one product or product line to angle-explode:

```
Product/Line: _______________
Category: _______________
Price Range: _______________
Current Number of Angles: _______________
```

### Step 2: Layer 1 - Product Attributes

List every physical attribute, spec, material, and feature:

```
Attributes:
1. _______________
2. _______________
3. _______________
4. _______________
5. _______________
6. _______________
7. _______________
8. _______________
9. _______________
10. ______________
```

**Search volume check**: For each attribute, search "[product type] [attribute]" and record monthly volume. Keep attributes with 50+ monthly searches.

| Attribute | Search Query | Monthly Volume | Keep? |
|-----------|-------------|----------------|-------|
| ___ | ___ | ___ | Y/N |
| ___ | ___ | ___ | Y/N |
| ___ | ___ | ___ | Y/N |

### Step 3: Layer 2 - Use Cases

List every scenario where someone would use this product:

```
Use Cases:
1. _______________
2. _______________
3. _______________
4. _______________
5. _______________
6. _______________
7. _______________
8. _______________
```

**Prompts to generate more use cases**:
- Where would someone use this? (location)
- When would someone use this? (time, season, event)
- How would someone use this? (method, frequency)
- What activity pairs with this product?
- What's the most unusual use case you've heard?

### Step 4: Layer 3 - User Identities

List every type of person who might buy this product:

```
User Identities:
1. _______________
2. _______________
3. _______________
4. _______________
5. _______________
6. _______________
7. _______________
8. _______________
```

**Prompts to generate more identities**:
- Demographics: age groups, gender, income levels
- Psychographics: lifestyle, values, interests
- Physical: body type, conditions, abilities
- Professional: job roles, industries
- Experience level: beginner, intermediate, advanced

### Step 5: Layer 4 - Problems Solved

List every pain point this product addresses:

```
Problems Solved:
1. _______________
2. _______________
3. _______________
4. _______________
5. _______________
6. _______________
```

**Prompts to generate more problems**:
- What's broken/painful without this product?
- What frustration does this eliminate?
- What health/safety issue does this address?
- What embarrassment does this prevent?
- What cost/waste does this reduce?

### Step 6: Layer 5 - Comparisons

List alternatives buyers compare against:

```
Comparisons:
1. vs. [Competitor 1]: _______________
2. vs. [Competitor 2]: _______________
3. vs. [Competitor 3]: _______________
4. vs. [Previous model]: _______________
5. vs. [Alternative solution]: _______________
6. vs. [DIY/manual option]: _______________
```

### Step 7: Layer 6 - Occasions

List triggers that create buying urgency:

```
Occasions:
1. _______________
2. _______________
3. _______________
4. _______________
5. _______________
6. _______________
```

**Prompts**:
- Seasonal events that drive purchases
- Life events (moving, baby, wedding, new job)
- Replacement cycles (how often do people re-buy?)
- Gift-giving occasions
- Professional triggers (new client, new project)

### Step 8: Layer 7 - Price/Value Frames

List economic angles:

```
Price/Value Angles:
1. _______________
2. _______________
3. _______________
4. _______________
```

**Standard frames**:
- "Best [product] under $[price]"
- "Premium [product] for [use case]"
- "Budget-friendly [product]"
- "Best value [product] for [identity]"
- "[Product] [quantity] pack" (bulk value)

---

## Step 9: Angle Multiplication

Now multiply across layers to generate unique angle combinations:

```
Formula: Attribute x Use Case x Identity = Unique Angle

Example:
Attribute: Cushioned
Use Case: Marathon Training
Identity: Flat Feet Runners
= "Cushioned marathon training shoe for flat feet"

This becomes a:
- Title variant (Zone 2 + Zone 3)
- Product description focus
- Campaign targeting angle
- Ad group keyword theme
```

### Multiplication Matrix (Sample)

| Attribute | x Use Case | x Identity | = Angle | SV Check |
|-----------|-----------|-----------|---------|----------|
| ___ | ___ | ___ | ___ | ___/mo |
| ___ | ___ | ___ | ___ | ___/mo |
| ___ | ___ | ___ | ___ | ___/mo |
| ___ | ___ | ___ | ___ | ___/mo |
| ___ | ___ | ___ | ___ | ___/mo |

**Count your angles**:
- Layer 1 count: ___ attributes
- Layer 2 count: ___ use cases
- Layer 3 count: ___ identities
- Layer 4 count: ___ problems
- Layer 5 count: ___ comparisons
- Layer 6 count: ___ occasions
- Layer 7 count: ___ price frames

**Total possible combinations**: (L1 x L2) + (L1 x L3) + (L2 x L3) + (L1 x L4) + ...

Even with just 8 per layer: 8x7 layers with cross-multiplication = 300+ unique angles.

---

## Step 10: Filter and Prioritize

Not all angles are worth pursuing. Filter by:

1. **Search volume**: Does anyone search for this combination? (50+ monthly minimum)
2. **Commercial intent**: Would someone searching this actually buy? (not just research)
3. **Product fit**: Does your product genuinely solve this angle? (no stretching)
4. **Competition**: How competitive is this angle? (low competition = faster wins)

### Final Angle Priority List

| Priority | Angle | SV | Intent | Competition | Action |
|----------|-------|-----|--------|------------|--------|
| 1 | ___ | ___ | High/Med | Low/Med/High | Title variant + Campaign |
| 2 | ___ | ___ | High/Med | Low/Med/High | Title variant + Campaign |
| 3 | ___ | ___ | High/Med | Low/Med/High | Title variant |
| 4 | ___ | ___ | High/Med | Low/Med/High | Description only |
| 5 | ___ | ___ | High/Med | Low/Med/High | Future testing |

---

## Quick Reference: Angles Per Layer (Typical Ranges)

| Layer | Name | Target | Required | Funnel | Budget % |
|-------|------|--------|----------|--------|----------|
| 1. Core Commercial + Shopping Modifiers | core_commercial | 120 | Yes | BOFU | 40% |
| 2. Specificity (color/size/material) | specificity | 110 | Yes | BOFU | 25% |
| 3. Intent + Competitor Theft | intent_competitor | 100 | Yes | MOFU | 15% |
| 4. Temporal (seasonal/trending) | temporal | 50 | Yes | MOFU | 5% |
| 5. Persona (demographics/experience) | persona | 70 | Expansion | MOFU | 8% |
| 6. Discovery Stage | discovery | 40 | Expansion | TOFU | 3% |
| 7. Shopping Micro-Intent | shopping_micro_intent | 80 | Yes | BOFU | 4% |
| **Total** | | **570 target** | | | **100%** |
| **After deduplication** | | **380-620** | | | |

---

## The 3-Stage Angle Explosion Algorithm

The system doesn't just multiply layers randomly. It runs a precise 3-stage pipeline:

### Stage 1: Generation
All 7 layers are exploded independently. Each layer generates its target number of raw angles. Layer 1 (Core Commercial) typically produces the most because it combines product keywords with shopping modifiers ("buy," "free shipping," "best price," "near me," "online," etc.).

### Stage 2: Deduplication
Raw angles are deduplicated using semantic similarity, not just exact matching. Two angles like "memory foam pillow for side sleepers" and "side sleeper memory foam pillow" collapse into one because they target the same search intent. After deduplication, you typically lose 20-35% of the raw count - which is expected and healthy.

### Stage 3: Affinity Scoring
Every surviving angle gets scored against every product in your catalog using a compatibility formula:

```
affinity_score = (attribute_match x 0.40) + (keyword_potential x 0.35) + (feature_alignment x 0.25)
```

- **attribute_match (40%)**: Does the product have the attributes this angle references? A "waterproof trail shoe" angle scores 0 against a cotton canvas sneaker.
- **keyword_potential (35%)**: Does the angle's search volume justify the targeting? Validated against the 4-Tier Keyword Hierarchy.
- **feature_alignment (25%)**: Does the product's feature set support the angle's claims? Prevents overpromising.

Products are assigned to ALL angle pockets where their affinity score  = 70 (threshold), up to a maximum of 5 pockets per product. This is the "Product Multiplication" principle - the same physical product appears in multiple segments with different titles optimized for different search intents.

**Real example**: An AEYLA cervical pillow was assigned to 4 pockets after affinity scoring: `pocket_011` (cervical orthopedic support), `pocket_015` (pain relief adjustable), `pocket_018` (cooling hot sleeper), and `pocket_024` (value bundle pricing). Same product, four different titles, four different buyer intents, 4x the impression coverage.

---

**Reference**: Module 2 (The 7-Layer Angle System) + Module 3 (Feed Segmentation), The Shopping Domination System


# Bonus 10: Keyword Exclusivity Checker

**Standalone Value**: $150
**Purpose**: Worksheet for auditing keyword overlap between Shopping segments and campaigns. Overlapping keywords mean you're bidding against yourself, inflating CPCs, and confusing Google's algorithm about which product to serve. This checker finds and fixes every overlap.

---

## Why Keyword Exclusivity Matters

When two of your campaigns target the same search term, Google holds an internal auction between YOUR OWN campaigns. The result:

- Higher CPCs (you bid yourself up)
- Wrong product shown (less relevant product may win the internal auction)
- Wasted budget (two campaigns spending on the same click)
- Confused algorithm (Google can't learn which product to optimize for)

The fix is keyword exclusivity: every search term routes to exactly one campaign or segment. No overlap. No competition against yourself.

---

## Step 1: Export Search Terms

Pull search term reports from ALL Shopping campaigns for the last 90 days.

**How to export**:
1. Google Ads   Campaigns   select ALL Shopping and PMax campaigns
2. Insights   Reports   Search Terms
3. Date range: Last 90 days
4. Download as CSV
5. Combine all campaigns into one spreadsheet

**Columns needed**:
| Column | Purpose |
|--------|---------|
| Search Term | The actual query a user typed |
| Campaign | Which campaign served the ad |
| Ad Group | Which ad group within the campaign |
| Impressions | How often this term triggered your ad |
| Clicks | How many clicks it generated |
| Cost | How much you spent on this term |
| Conversions | Number of conversions |

---

## Step 2: Find Overlapping Terms

Sort your combined search term report and look for duplicates.

**Method A: Pivot Table**
1. Create a pivot table with Search Term as rows
2. Add Campaign as a column (or secondary row)
3. Add Impressions as values
4. Any search term appearing in 2+ campaigns = overlap

**Method B: COUNTIF Formula**
```
In a new column, add:
=COUNTIF(SearchTermColumn, A2)

Any value   1 = that search term appeared in multiple campaigns.

Filter for values   1 to see all overlapping terms.
```

### Overlap Audit Sheet

| Search Term | Campaign 1 | Campaign 2 | Impressions (C1) | Impressions (C2) | Cost (C1) | Cost (C2) | Conv (C1) | Conv (C2) | Winner |
|-------------|-----------|-----------|-----------------|-----------------|----------|----------|----------|----------|--------|
| ___ | ___ | ___ | ___ | ___ | ___ | ___ | ___ | ___ | ___ |
| ___ | ___ | ___ | ___ | ___ | ___ | ___ | ___ | ___ | ___ |
| ___ | ___ | ___ | ___ | ___ | ___ | ___ | ___ | ___ | ___ |

**Winner determination**: The campaign with higher conversion rate on this term should "own" it. The other campaign should add it as a negative.

---

## Step 3: Classify Overlap Types

Not all overlaps are equally damaging. Classify each overlap:

### Type A: Brand Cannibalization (Critical)
**What it is**: Your branded search terms appearing in both Protector and non-branded campaigns.
**Impact**: Inflated CPC on your cheapest, highest-converting traffic.
**Fix**: Add your brand name as an exact match negative in every campaign except Protector.

### Type B: Segment Bleed (High)
**What it is**: A search term matching products in two different segments (e.g., "vitamin C serum" appearing in both "skincare-anti-aging" and "skincare-brightening" segments).
**Impact**: Wrong product shown, bid competition, diluted learning.
**Fix**: Add the overlapping term as a negative in the segment where it converts worse. Keep it in the better-performing segment.

### Type C: Campaign Type Overlap (Medium)
**What it is**: Same terms appearing in both Standard Shopping and PMax campaigns.
**Impact**: PMax usually wins (it has priority), making Standard Shopping campaigns underperform.
**Fix**: Use PMax for discovery/TOFU terms and Standard Shopping for known high-performers. Add PMax-owned terms as negatives in Standard Shopping (or vice versa).

### Type D: Long-Tail Scatter (Low)
**What it is**: Very specific long-tail terms occasionally appearing in multiple campaigns with minimal volume.
**Impact**: Minimal spend but messy data.
**Fix**: Add as negatives in the lower-performing campaign when you do your weekly cleanup.

---

## Step 4: Build Negative Keyword Lists

For each campaign, create a negative keyword list to enforce exclusivity.

### Protector Campaign Negatives
```
Purpose: Block everything EXCEPT branded terms

Add as negatives:
- All competitor brand names (exact match)
- Generic product terms that should go to Thief/Standard
  (only if they're bleeding into Protector)

Do NOT negative:
- Your brand name
- Your brand + product combinations
```

### Thief Campaign Negatives
```
Purpose: Block YOUR brand, keep competitor and generic terms

Add as negatives:
- Your brand name [exact match]
- Your brand name variations [phrase match]

Do NOT negative:
- Competitor brand names (that's the whole point)
- Generic product terms (those route here)
```

### Standard Shopping Negatives
```
Purpose: Block branded (goes to Protector) and competitor (goes to Thief)

Add as negatives:
- Your brand name [exact match] (if Protector handles these)
- Competitor brand names [exact match] (if Thief handles these)
- Any terms already owned by PMax segments

Do NOT negative:
- Generic product terms (your core traffic)
- Long-tail variations (valuable for Standard Shopping)
```

### PMax Negatives (via brand exclusions and search themes)
```
Purpose: Focus on discovery and remarketing, avoid overlap with Standard Shopping

Configure:
- Brand exclusions in PMax settings
- Search themes focused on TOFU/discovery intent
- Exclude terms that Standard Shopping owns profitably
```

---

## Step 5: Negative Keyword List Template

Create shared negative keyword lists in Google Ads for efficient management:

| List Name | Applied To | Contains | Update Frequency |
|-----------|-----------|----------|-----------------|
| Brand Terms - Exclude | All except Protector | Your brand + variations | Monthly |
| Competitor Terms - Exclude | All except Thief | Competitor brands | Monthly |
| Segment A Exclusions | All except Segment A campaigns | Terms owned by Segment A | Bi-weekly |
| Segment B Exclusions | All except Segment B campaigns | Terms owned by Segment B | Bi-weekly |
| Irrelevant Terms | All campaigns | Non-commercial, irrelevant queries | Weekly |

---

## Step 6: Weekly Maintenance Checklist

Run this check every Monday:

- [ ] Pull search terms from last 7 days (all Shopping campaigns)
- [ ] Sort for new overlapping terms (not previously caught)
- [ ] Classify new overlaps (Type A/B/C/D)
- [ ] Add negatives to enforce exclusivity
- [ ] Check impression share in Protector (still 95%+?)
- [ ] Verify no brand terms leaking into Thief
- [ ] Review PMax search themes for unexpected overlaps
- [ ] Document changes in the optimization log

---

## Overlap Cost Calculator

Estimate how much keyword overlap is costing you:

```
For each overlapping term:

Overlap Cost = (CPC in losing campaign) x (Clicks in losing campaign)

Total Overlap Waste = Sum of all overlap costs

Example:
"running shoes women" appears in both Segment A and Segment B
- Segment A: 150 clicks, $1.20 CPC, 8 conversions
- Segment B: 80 clicks, $1.45 CPC, 2 conversions

Segment B should NOT be bidding on this term.
Overlap waste = 80 x $1.45 = $116/month on this ONE term

Across 50+ overlapping terms, this adds up fast.
```

| Overlapping Term | Losing Campaign | Clicks (Losing) | CPC (Losing) | Monthly Waste |
|-----------------|----------------|-----------------|-------------|---------------|
| ___ | ___ | ___ | $___ | $___ |
| ___ | ___ | ___ | $___ | $___ |
| ___ | ___ | ___ | $___ | $___ |
| ___ | ___ | ___ | $___ | $___ |
| **TOTAL** | | | | **$___** |

---

**Reference**: Module 11 (Campaign Deployment + Negative Architecture) + Module 14 (Weekly Optimization), The Shopping Domination System


# Page Type Decision Tree

**Product**: The Google Ads Landing Page System ($497)
**Framework**: P.A.G.E. Protocol - Position Phase

---

## How to Use This Template

1. Start with your keyword or audience signal
2. Follow the decision path through 4 questions
3. Arrive at your recommended page type
4. Cross-reference with the traffic temperature table for validation

---

## Decision Path

### Question 1: What is the primary keyword intent?

| If the keyword contains... | Intent = | Go to... |
|---------------------------|----------|----------|
| "how to", "what is", "why", "guide to" | Informational | Question 2A |
| "best", "top", "review", "[brand] vs" | Commercial | Question 2B |
| "[brand name]", "buy", "price", "discount" | Transactional | Question 2C |

### Question 2A: Informational Intent - Does the searcher know the problem?

| If... | Awareness = | Recommended Page Types |
|-------|-------------|----------------------|
| They're searching for general education (e.g., "what causes [problem]") | Unaware | **Story** or **Advertorial** |
| They're searching for specific problem help (e.g., "how to fix [problem]") | Problem-Aware | **Advertorial**, **Listicle**, or **Problem-Solution** |
| They're searching for solution guidance (e.g., "how to choose [solution]") | Solution-Aware | **Guide** or **Editorial** |

### Question 2B: Commercial Intent - Is the searcher comparing?

| If... | Awareness = | Recommended Page Types |
|-------|-------------|----------------------|
| Broad comparison (e.g., "best [category]") | Solution-Aware | **Roundup** or **Quiz** |
| Direct comparison (e.g., "[product A] vs [product B]") | Product-Aware | **Comparison** |
| Review search (e.g., "[brand] review") | Product-Aware | **Review** or **Social-Proof** |

### Question 2C: Transactional Intent - How close to purchase?

| If... | Awareness = | Recommended Page Types |
|-------|-------------|----------------------|
| Brand search (knows you, looking for your site) | Most-Aware | **Lander** |
| Price/deal search (ready to buy, comparing price) | Most-Aware | **Lander** or **VSL** |
| Retargeting (visited before, didn't buy) | Most-Aware | **Lander** (short) or **VSL** |

### Question 3: What traffic temperature does this create?

| Temperature | Awareness Levels | Word Count Range | CTA Style |
|------------|-----------------|------------------|-----------|
| Cold | Unaware, Problem-Aware | 2,000-4,000 | Soft, educational |
| Warm | Solution-Aware, Product-Aware | 1,500-3,000 | Direct but educational |
| Hot | Most-Aware | 600-1,500 | Direct, urgent |

### Question 4: Does the selection pass the validation check?

- [ ] Page type matches awareness level (Module 3 matrix)
- [ ] Word count range matches traffic temperature
- [ ] CTA progression matches awareness level (soft -  medium -  hard)
- [ ] You have the proof elements needed (check evidence tier: VERIFIED for claims, DERIVED for projections, ILLUSTRATIVE for examples)
- [ ] The page type is feasible with your current resources
- [ ] For advertorials: have you selected the correct length variant (short 300-600w, medium 600-1200w, long 1200-2500w) and purpose type (sell, sell-the-click, compliance, congruence)?
- [ ] Angle passes 120-point scoring threshold (minimum 60/120 for production)

If any check fails, go back to Question 2 and consider the next recommended page type.

---

## Angle Prioritization (120-Point Scoring)

Before building, score your angle to prioritize which pages to build first:

| Factor | Max Points | What to Evaluate |
|--------|-----------|-----------------|
| Keyword Volume | 25 | Monthly search volume for target keywords (800+ high-volume, 500+ medium, 300+ consideration) |
| CPC Advantage | 20 | CPC savings vs product keywords ($3.50 max high-vol, $5.00 max medium) |
| Competition Gap | 20 | Competitor coverage of this intent/page type |
| Conversion Potential | 20 | Likelihood of driving purchases (consider purchase mindstate: deliberate/impulse/habitual/exploratory/gift) |
| Content Feasibility | 15 | Your ability to create this page type with available resources |
| Seasonal Relevance | 10 | Time sensitivity and trending factors |
| Emotional Depth | 10 | Room for emotional copy (story, transformation) |
| **Total** | **120** | **60+ = build, 80+ = prioritize, 100+ = build immediately** |

---

## Quick Reference: All 13 Page Types

| # | Page Type | Best Awareness | Traffic Temp | Word Count | Masterson Lead |
|---|-----------|---------------|--------------|------------|---------------|
| 1 | Advertorial | Unaware / Problem-Aware | Cold | 300-2,500 (3 variants) |  Story or Secret/Discovery |
| 2 | Listicle | Problem-Aware | Cold-Warm | 1,800-2,800 | Problem-Solution or Promise |
| 3 | Comparison | Solution-Aware / Product-Aware | Warm | 1,500-2,500 | Secret/Discovery or Offer |
| 4 | Guide | Solution-Aware | Warm | 2,500-4,000 | Secret/Discovery |
| 5 | Quiz | Solution-Aware | Warm | 1,200-1,800 | Commitment (interactive) |
| 6 | Social-Proof | Product-Aware | Warm-Hot | 1,500-2,500 | Offer or Promise |
| 7 | Roundup | Solution-Aware | Warm | 2,000-3,000 | Secret/Discovery |
| 8 | VSL | Most-Aware | Hot | 800-1,200 | Offer (direct) |
| 9 | Story | Unaware | Cold | 2,500-4,000 | Story (Carol Pattern) |
| 10 | Problem-Solution | Problem-Aware | Cold-Warm | 1,500-2,500 | Problem-Solution |
| 11 | Lander | Most-Aware | Hot | 600-1,200 | Offer (direct) |
| 12 | Review | Product-Aware | Warm-Hot | 1,800-2,800 | Secret/Discovery |
| 13 | Editorial | Solution-Aware | Warm | 2,000-3,500 | Secret/Discovery (Discovery Narrative) |

---

## Worked Example

**Scenario**: DTC brand selling organic dog food ($65/bag). Google Ads budget $20K/month. Three keyword groups to map to page types.

### Keyword Group 1: "best dog food for sensitive stomach"

**Q1: Primary intent?** Contains "best" = Commercial -  Q2B

**Q2B: Comparing?** Broad comparison ("best [category]") = Solution-Aware -  **Roundup** or **Quiz**

**Decision**: They have 8 SKUs for different dog sizes/conditions. Customer often asks "which formula is right for my dog?" -  **Quiz** (interactive assessment routes to the right product)

**Q3: Traffic temperature?** Solution-Aware = Warm. Word count: 1,500-2,000. CTA: Direct but educational.

**Q4: Validation**:
- [x] Page type matches awareness (Quiz = Solution-Aware)
- [x] Word count matches traffic temp (1,500-2,000 for warm)
- [x] CTA progression matches (educational quiz -  personalized recommendation)
- [x] Proof elements available (8,400 reviews, veterinarian endorsement)
- [x] Feasible with current resources (can build quiz with Typeform or Octane AI)
- [x] N/A (not an advertorial)
- [x] Angle score: 88/120 (high volume "best dog food" cluster, low CPC advantage, moderate competition, high conversion potential)

**Result**: Build a Quiz page. 4-5 questions (dog size, age, primary concern, current food brand, budget preference). Routes to one of 3 product recommendations.

### Keyword Group 2: "why is my dog throwing up after eating"

**Q1: Primary intent?** "Why" = Informational -  Q2A

**Q2A: Does the searcher know the problem?** Searching for specific problem help = Problem-Aware -  **Advertorial**, **Listicle**, or **Problem-Solution**

**Decision**: Complex problem with multiple causes (allergies, fillers, grains, eating speed). Multiple contributing factors -  **Listicle** ("7 Reasons Your Dog Gets Sick After Meals")

**Q3: Traffic temperature?** Problem-Aware = Cold-Warm. Word count: 2,000-2,800. CTA: Soft, educational.

**Q4: Validation**:
- [x] Page type matches awareness (Listicle = Problem-Aware)
- [x] Word count 2,200 target - matches cold-warm range
- [x] CTA: "See which ingredient profile your dog needs" (soft, educational)
- [x] Have proof: ingredient sourcing data, vet partnership, customer recovery stories
- [x] Feasible: can create blog-style listicle page
- [x] Angle score: 72/120 (decent volume, cheap CPCs vs product keywords, moderate competition)

**Result**: Build a Listicle page. Product introduced at reason #5 of 7 (71% through page).

### Keyword Group 3: "[brand name] dog food review"

**Q1: Primary intent?** "[brand name] review" = Transactional/Commercial -  Q2C/Q2B

**Q2B: Comparing?** Review search = Product-Aware -  **Review** or **Social-Proof**

**Decision**: Strong testimonials with specific metrics (coat quality improvements, vet feedback, weight management results) -  **Social-Proof Page** (wall of evidence)

**Q3: Traffic temperature?** Product-Aware = Warm-Hot. Word count: 1,500-2,500. CTA: Proof-backed.

**Q4: Validation**:
- [x] Social-Proof = Product-Aware
- [x] Word count 1,800 target - warm-hot range
- [x] CTA: "See results from 8,400+ dog owners"
- [x] Abundant proof: 8,400 reviews, 4.6 stars, 12 video testimonials
- [x] Feasible: curate existing reviews into structured page

**Result**: Build a Social-Proof page. 8-10 curated reviews organized by concern (digestion, coat, energy, weight).

### Summary: 3 Pages from 3 Keyword Groups

| Keyword Group | Awareness | Page Type | Word Count | CTA Style |
|--------------|-----------|-----------|------------|-----------|
| best dog food for sensitive stomach | Solution-Aware | Quiz | 1,500-2,000 | "Find your dog's match" |
| why is my dog throwing up after eating | Problem-Aware | Listicle | 2,000-2,800 | "See which ingredients help" |
| [brand] dog food review | Product-Aware | Social-Proof | 1,500-2,500 | "See 8,400+ results" |

---

## Your Turn

Run the decision tree for each of your keyword groups:

**Keyword Group**: _______________

**Q1**: Intent type? _____________ -  Go to Q___

**Q2**: _____________ -  Awareness: _____________ -  Page type options: _____________

**Decision**: _____________________________________________

**Q3**: Traffic temp: _______ | Word count: _______ | CTA style: _______

**Q4**: Validation (check all boxes before building)

**Selected page type**: _____________

Repeat for each keyword group.

---

## Interpretation Guide

| Decision Tree Result | What It Means | Watch Out For |
|---------------------|--------------|---------------|
| Same page type for all keyword groups | You may have a narrow audience - or you need to diversify keywords | Check if keywords genuinely target different awareness levels |
| Unaware page type selected | You'll need 2,500-4,000 words and no product mention before 60% | If you can't commit to long-form content, move up one awareness level |
| Quiz recommended but you have  5 products | Quiz feels shallow with too few outcomes | Switch to a Guide or Roundup instead |
| Multiple page types for similar keywords | Split-test them - the tree gives starting points, not certainties | Run 2 formats for 30 days, compare CVR and cost per acquisition |
| Angle score below 60/120 | Low priority - build other pages first | Revisit quarterly when volume or competition shifts |

---

**Last Updated**: 2026-02-22


# Awareness-Level Copy Structure Templates

**Product**: The Google Ads Landing Page System ($497)
**Framework**: P.A.G.E. Protocol - Architect Phase

---

## How to Use This Template

1. Identify your target awareness level from the Decision Tree
2. Find the matching copy structure below
3. Use the section-by-section outline as your writing framework
4. Apply the specified Cialdini principles and Masterson lead type
5. Fill in each section with your product-specific content

---

## Unaware Copy Structure

**Goal**: Educate the reader that a problem exists they haven't considered.
**Masterson Lead**: Story or Proclamation
**Primary Cialdini**: Authority, Unity, Liking
**Emotional Journey Allocation**: Recognition 30%, Hope 25%, Belief 20%, Desire 15%, Action 10%
**Evidence Tier**: VERIFIED for all claims, DERIVED for projections
**Narrative Pattern**: Carol Pattern (13-step) for customer story advertorials, Discovery Narrative (12-step) for journalistic angles
**CTA Progression**: Soft only. No hard CTAs for unaware traffic.
**Product Reveal Rule**: No earlier than 60% through the page (section 7-8 of 10)

| Section | Purpose | Word Count | Key Technique |
|---------|---------|------------|---------------|
| 1. Hook | Disrupt attention with unexpected insight | 50-100 | Proclamation or story opening |
| 2. Scene Setting | Paint a world the reader recognizes | 200-400 | First-Person Pain, sensory detail |
| 3. Problem Revelation | Reveal the hidden problem | 300-500 | Data + emotional consequence |
| 4. Depth of Problem | Show how widespread/serious it is | 300-500 | Statistics, expert citations |
| 5. Failed Approaches | What doesn't work (and why) | 200-400 | Builds credibility through honesty |
| 6. Root Cause | The actual underlying cause | 200-400 | Educational, mechanism-based |
| 7. Solution Category | Introduce the type of solution (not your product) | 200-300 | Category education |
| 8. Product Discovery | Introduce your product naturally | 200-400 | Third-person framing or story |
| 9. Proof | Evidence that the product works | 300-500 | Data, testimonials, before/after |
| 10. Soft CTA | Low-pressure next step | 50-100 | "Learn more" or "See how it works" |

**Total**: 2,000-3,500 words

---

## Problem-Aware Copy Structure

**Goal**: Validate the reader's problem and position your product as the fix.
**Masterson Lead**: Problem-Solution or Promise
**Primary Cialdini**: Authority, Social Proof, Commitment
**Emotional Journey Allocation**: Recognition 20%, Hope 25%, Belief 25%, Desire 20%, Action 10%
**Evidence Tier**: VERIFIED for problem data, DERIVED for solution projections
**Copy Technique**: System 1/2 dual-track - headlines tell full story on skim, body provides rational justification
**CTA Progression**: Soft at mid-page, medium at final CTA

| Section | Purpose | Word Count | Key Technique |
|---------|---------|------------|---------------|
| 1. Problem Mirror | Name the exact pain the reader experiences | 100-200 | Specific Moment technique |
| 2. Agitation | Deepen the emotional weight of the problem | 200-400 | Consequences, escalation |
| 3. Failed Solutions | What they've tried that didn't work | 200-300 | Builds rapport through empathy |
| 4. Root Cause Reveal | Why previous attempts failed | 200-300 | Mechanism explanation |
| 5. Solution Introduction | Present the solution approach | 200-400 | Framework or methodology |
| 6. Product as Vehicle | Your product delivers the solution | 200-400 | Feature-to-benefit mapping |
| 7. Social Proof | Others with the same problem who fixed it | 300-500 | Testimonials, case study |
| 8. Mid-Page CTA | Direct but educational | 50-100 | "Get the system" or "See the framework" |
| 9. Objection Handling | Address 2-3 key concerns | 200-300 | FAQ or inline objection counters |
| 10. Final CTA | Stronger, direct | 50-100 | Risk reversal included |

**Total**: 1,500-3,000 words

---

## Solution-Aware Copy Structure

**Goal**: Differentiate your approach from alternatives.
**Masterson Lead**: Secret/Discovery or Offer
**Primary Cialdini**: Authority, Contrast, Social Proof
**Emotional Journey Allocation**: Recognition 10%, Hope 20%, Belief 30%, Desire 25%, Action 15%
**Evidence Tier**: VERIFIED for comparison data, ILLUSTRATIVE for examples
**Copy Technique**: Value stack sequence (8 elements in order) + distributed risk reversal (5 touchpoints)
**CTA Progression**: Medium at mid-page, hard at final CTA

| Section | Purpose | Word Count | Key Technique |
|---------|---------|------------|---------------|
| 1. Category Hook | Acknowledge the solution category exists | 100-200 | "You know [solution type] works. But..." |
| 2. Differentiation | What makes your approach different | 200-400 | Contrast with standard approaches |
| 3. Methodology | Your unique framework/process | 300-500 | P.A.G.E. Protocol or equivalent |
| 4. Feature Deep Dive | Detailed walkthrough of what's included | 300-500 | Specifics, not generalities |
| 5. Comparison | You vs alternatives (honest) | 200-400 | Side-by-side table or narrative |
| 6. Mid-Page CTA | Direct with value proposition | 50-100 | "Get the [framework name]" |
| 7. Social Proof | Results from people who chose you | 300-500 | Case studies with metrics |
| 8. Risk Reversal | Guarantee details | 100-200 | Specific, measurable guarantee |
| 9. Value Stack | What's included with dollar values | 200-300 | Table format |
| 10. Final CTA | Strong, urgent if appropriate | 100-200 | Price anchoring included |

**Total**: 1,500-3,000 words

---

## Product-Aware Copy Structure

**Goal**: Convince the reader that your product is the best specific option.
**Masterson Lead**: Offer or Promise
**Primary Cialdini**: Social Proof, Scarcity, Liking
**Emotional Journey Allocation**: Recognition 5%, Hope 10%, Belief 25%, Desire 35%, Action 25%
**Evidence Tier**: All tiers acceptable - VERIFIED for core claims, ILLUSTRATIVE for aspirational examples
**Copy Technique**: AOV-boosting patterns (multi-unit justification, scarcity-driven quantity, bundle social proof, price anchoring, gift/share trigger)
**CTA Progression**: Medium at hero, hard at mid-page and final

| Section | Purpose | Word Count | Key Technique |
|---------|---------|------------|---------------|
| 1. Product Hook | Bold claim about the product result | 50-100 | Specific outcome statement |
| 2. Quick Proof | Immediate credibility hit | 100-200 | Best stat or testimonial |
| 3. What's Inside | Complete product walkthrough | 300-500 | Module-by-module or feature-by-feature |
| 4. CTA #1 | For readers ready to buy now | 50-100 | Direct purchase CTA |
| 5. Social Proof Wall | Volume of proof | 300-500 | 6+ testimonials, varied format |
| 6. Comparison | Why this over the next best option | 200-300 | Focused on 2-3 differentiators |
| 7. Bonuses | Added value beyond the core product | 200-300 | Each bonus with standalone value |
| 8. CTA #2 | After bonuses | 50-100 | Value stack CTA |
| 9. Guarantee + FAQ | Remove final barriers | 200-300 | Guarantee + 3-5 FAQ items |
| 10. Final CTA | Urgency or scarcity if legitimate | 100-200 | Deadline or price change |

**Total**: 1,200-2,500 words

---

## Most-Aware Copy Structure

**Goal**: Make the purchase decision as frictionless as possible.
**Masterson Lead**: Offer (direct)
**Primary Cialdini**: Scarcity, Social Proof, Authority (minimal)
**Emotional Journey Allocation**: Recognition 0%, Hope 5%, Belief 10%, Desire 30%, Action 55%
**Evidence Tier**: VERIFIED proof points only - no room for ILLUSTRATIVE at this awareness level
**Copy Technique**: Hard CTAs throughout. Minimal education. Maximum action orientation.
**CTA Progression**: Hard from the hero. Every CTA is a purchase CTA.

| Section | Purpose | Word Count | Key Technique |
|---------|---------|------------|---------------|
| 1. Direct Offer | Product + price + key benefit | 50-100 | No preamble |
| 2. Hero CTA | Immediate purchase option | 50 | Button + price + guarantee |
| 3. Quick Benefits | 5-7 bullet points | 100-150 | Scannable, specific |
| 4. Social Proof Strip | 3-4 short testimonials | 100-200 | Quick validation |
| 5. CTA #2 | After proof | 50 | Same CTA, different micro-copy |
| 6. What's Included | Brief list | 100-200 | List format |
| 7. Guarantee | Risk reversal | 50-100 | Simple, clear |
| 8. Final CTA | Urgency | 50-100 | Deadline or scarcity |

**Total**: 600-1,200 words

---

## Example: Applying Problem-Aware Structure

**Product**: Vitamin C Serum
**Keyword**: "how to fix dark spots on face"
**Awareness**: Problem-Aware

| Section | Content Summary |
|---------|----------------|
| Problem Mirror | "You've tried concealer, brightening creams, even expensive facials. The dark spots are still there." |
| Agitation | "Every morning, same routine: check the mirror, see the spots, add another layer of coverage..." |
| Failed Solutions | "Most brightening products only work on the surface layer. The pigmentation sits deeper." |
| Root Cause | "Melanin overproduction happens in the dermis. Surface treatments never reach it." |
| Solution Introduction | "Vitamin C at 20% concentration penetrates to the dermis layer where pigmentation forms." |
| Product as Vehicle | "[Brand] Vitamin C Serum uses L-ascorbic acid at 20% with ferulic acid stabilization..." |
| Social Proof | "Sarah, 34: 'Dark spots reduced 60% in 6 weeks. I stopped wearing concealer for the first time in 3 years.'" |

---

## Worked Example

**Scenario**: DTC ergonomic office chair brand ($599). Google Ads spend $25K/month. Building a problem-aware advertorial targeting "how to fix lower back pain from sitting."

### Template Selection
- **Awareness**: Problem-Aware
- **Lead type**: Problem-Solution
- **Primary Cialdini**: Authority, Social Proof, Commitment
- **Target word count**: 2,200 words

### Completed Problem-Aware Structure

| Section | Content | Word Count |
|---------|---------|------------|
| **1. Problem Mirror** | "You've tried the standing desk. You bought the lumbar cushion. You've even done the YouTube stretches at your desk. But every day around 2pm, the same dull ache creeps back into your lower back." | 150 |
| **2. Agitation** | "The average office worker spends 1,700 hours per year seated. That's 1,700 hours of L4-L5 compression. The lumbar cushion shifts the pressure point - it doesn't fix the underlying mechanics. Here's what that costs: 3 sick days/year ($720 in lost income), $1,200/year in chiropractor visits, and the slow erosion of your ability to sit through a full workday without wincing." | 350 |
| **3. Failed Solutions** | "Standing desks helped for a month - then you stopped using them (studies show 64% abandonment within 90 days). Cushions redistribute pain rather than eliminating it. Stretching protocols work temporarily but reset every time you sit back down in the same chair. The reason: none of these address seat pan angle and lumbar engagement simultaneously." | 250 |
| **4. Root Cause Reveal** | "Dr. Stuart McGill's spine biomechanics research (McGill University, 30+ years of spinal studies) shows that back pain from sitting isn't caused by weak muscles - it's caused by static loading in a flexed lumbar position. When your pelvis tilts backward (posterior pelvic tilt), your spine's natural S-curve flattens. Every hour in that position adds compressive load. The fix isn't adding support TO your existing chair - it's sitting in a chair that prevents the tilt in the first place." | 300 |
| **5. Solution Introduction** | "Ergonomic chairs that maintain 4-8 degrees of forward seat pan tilt keep your pelvis in neutral position. This preserves the lumbar curve without you thinking about it. The result: L4-L5 compression drops by 40-50% (measured via intradiscal pressure studies). No adjustments needed throughout the day. No 'remembering to sit up straight.'" | 250 |
| **6. Product as Vehicle** | "The [Brand] ErgoTilt uses a 6-degree forward seat pan with synchronized recline and adjustable lumbar depth. The seat pan angle is fixed at the optimal range - you can't accidentally flatten it. 4 height-adjustable armrests take load off the shoulders. Weight: 48 lbs, rated for 300 lbs, 12-year frame warranty." | 200 |
| **7. Social Proof** | "11,400 office workers use the ErgoTilt daily. Average review: 4.7 stars across 3,200 verified reviews. Mike T., software engineer: 'First chair where I don't shift every 20 minutes. Lower back pain went from daily to maybe once a month.' Rebecca S., accountant: '3 years in. Still as supportive as day one. My chiropractor noticed the difference before I told him I switched chairs.'" | 300 |
| **8. Mid-Page CTA** | "See the ErgoTilt in 360 degrees. Compare models." | 50 |
| **9. Objection Handling** | "Q: '$599 is a lot for a chair.' A: Over a 12-year warranty period, that's $0.14/day. Your current lumbar cushion + chiropractor visits cost $100+/month. Q: 'What if it doesn't work for me?' A: 60-day home trial. Full refund including return shipping. 22% of trial users return it - we're transparent about that. Q: 'Do I need the headrest model?' A: Only if you recline past 120 degrees regularly. For standard desk work, the base model is the right choice." | 300 |
| **10. Final CTA** | "Stop managing the pain. Fix the position. 60-day home trial. Free shipping. 12-year warranty. Choose your ErgoTilt model." | 50 |
| **Total** | | **2,200 words** |

### Why This Works

1. **Problem Mirror** uses customer language ("dull ache," "2pm") - not clinical terms
2. **Agitation** quantifies the cost: $1,920/year in direct costs makes $599 feel reasonable
3. **Root Cause** borrows authority from Dr. Stuart McGill (real researcher, real institution)
4. **Product reveal** happens at section 6 (60% through) - passes the advertorial rule
5. **Objection Handling** includes a real return rate (22%) - honesty builds trust more than perfection

---

## Your Turn

Pick your awareness level from the structures above. Fill in each section with your product-specific content. Use the word count targets as guardrails.

| Section | Your Content Summary | Word Count |
|---------|---------------------|------------|
| 1 | __________________________ | ___ |
| 2 | __________________________ | ___ |
| 3 | __________________________ | ___ |
| 4 | __________________________ | ___ |
| 5 | __________________________ | ___ |
| 6 | __________________________ | ___ |
| 7 | __________________________ | ___ |
| 8 | __________________________ | ___ |
| 9 | __________________________ | ___ |
| 10 | __________________________ | ___ |

---

## Interpretation Guide

| Issue | What It Means | Fix |
|-------|--------------|-----|
| Total word count is 50%+ over target | You're over-explaining - reader will drop off | Cut the weakest section or merge two related sections |
| Problem Mirror feels generic | You haven't used real customer language | Pull 5 verbatim phrases from product reviews or Reddit |
| Root Cause section is vague | You don't have enough research | Find one peer-reviewed study or named expert to cite |
| Product appears before the midpoint | Readers will bounce - they don't trust you yet | Move product reveal to section 6+ for cold/warm traffic |
| Social proof section has no specific metrics | "Customers love it" isn't proof | Add star rating, review count, or one quoted result with numbers |

---

**Last Updated**: 2026-02-22


# Cialdini Principle Section Mapper

**Product**: The Google Ads Landing Page System ($497)
**Framework**: P.A.G.E. Protocol - Architect Phase (Module 4)

---

## How to Use This Template

1. Identify your page type and awareness level
2. Look up the recommended principles in the Selection Matrix below
3. Use the Section Placement Guide to assign principles to specific page sections
4. Write each section with the assigned principle as the primary psychological driver

---

## The 11 Principles (Cialdini 7 + 4 Extensions)

| # | Principle | Core Mechanism | Application in Landing Pages |
|---|-----------|---------------|------------------------------|
| 1 | Reciprocity | Give value first, create obligation | Free guides, calculators, educational content before the ask |
| 2 | Commitment/Consistency | Small yes leads to bigger yes | Quiz engagement, micro-commitments, agreeing with problem statements |
| 3 | Social Proof | People follow others like them | Testimonials, case studies, user counts, review aggregates |
| 4 | Authority | Trust expert sources | Credentials, data citations, expert endorsements, experience metrics |
| 5 | Liking | Buy from people you like | Story, personality, humor, shared values, relatability |
| 6 | Scarcity | Limited = valuable | Deadline, limited availability, price increase, exclusive access |
| 7 | Unity | Shared identity | Industry-specific proof, "people like you", community membership |
| 8 | Contrast | Comparison shifts perception | Before/after, price anchoring, alternative cost comparison |
| 9 | Loss Aversion | Pain of losing   pleasure of gaining | "What it costs you NOT to act", waste calculations, missed opportunity |
| 10 | Anchoring | First number sets the frame | Total value before price, competitor pricing, hourly rate equivalents |
| 11 | Curiosity Gap | Incomplete information drives action | Open loops, "inside you'll find", partial revelations |

---

## Selection Matrix: Principles by Awareness Level

### Unaware (Cold Traffic)

| Priority | Principles | Why |
|----------|-----------|-----|
| Primary | Authority, Reciprocity, Unity | Cold traffic needs trust before selling. Give value first. |
| Secondary | Liking, Curiosity Gap | Story-telling and curiosity keep them reading. |
| Avoid | Scarcity, Loss Aversion | Too aggressive for people who don't know the problem yet. |

### Problem-Aware

| Priority | Principles | Why |
|----------|-----------|-----|
| Primary | Authority, Social Proof, Commitment | They know the problem. Show you understand it deeply. |
| Secondary | Reciprocity, Unity | Value-first + shared identity builds trust. |
| Avoid | Scarcity (hard), Anchoring | Not ready for price conversations. |

### Solution-Aware

| Priority | Principles | Why |
|----------|-----------|-----|
| Primary | Authority, Contrast, Social Proof | They're comparing. You need to differentiate. |
| Secondary | Commitment, Curiosity Gap | Engage them deeper. Differentiate your approach. |
| Use Sparingly | Scarcity (soft) | Can hint at limited availability if legitimate. |

### Product-Aware

| Priority | Principles | Why |
|----------|-----------|-----|
| Primary | Social Proof, Contrast, Anchoring | They know you. They need validation and value framing. |
| Secondary | Scarcity, Loss Aversion | Ready for urgency if the proof supports it. |
| Use Sparingly | Reciprocity | They've already received value. Time to close. |

### Most-Aware

| Priority | Principles | Why |
|----------|-----------|-----|
| Primary | Scarcity, Social Proof, Anchoring | They're ready. Remove the last barriers. |
| Secondary | Loss Aversion, Contrast | Show what they lose by waiting. |
| Not Needed | Reciprocity, Authority (heavy) | They already trust you. Don't over-educate. |

---

## Section Placement Guide

Map each principle to specific landing page sections:

### Reciprocity Sections

| Section Type | Application | Example |
|-------------|-------------|---------|
| Educational content | Teach something valuable before the offer | "Here are 3 tests you can run today, free" |
| Free tool or calculator | Interactive value | ROI calculator, diagnostic quiz |
| Guide/checklist excerpt | Partial content from the product | "Section 1 of Module 3 - the awareness mapping" |

### Commitment/Consistency Sections

| Section Type | Application | Example |
|-------------|-------------|---------|
| Problem acknowledgment | Get them to agree the problem exists | "If you're nodding right now, keep reading" |
| Quiz or assessment | Interactive engagement = invested | "Answer 5 questions to find your page type" |
| Progressive disclosure | Each section builds on previous agreement | Section 1: problem -  Section 2: cause -  Section 3: solution |

### Social Proof Sections

| Section Type | Application | Example |
|-------------|-------------|---------|
| Testimonial blocks | Customer quotes with specific results | See Social Proof Section Library (Bonus 3) |
| Case study cards | Condensed before/after stories | "$22K -  $67K/month. Same product." |
| Aggregate metrics | Total customers, average result | "160+ accounts. $2M+ in presell revenue." |
| UGC/screenshots | Raw customer content | DMs, reviews, dashboard screenshots |

### Authority Sections

| Section Type | Application | Example |
|-------------|-------------|---------|
| Credibility bar | Experience metrics and logos | "8 years. 160+ accounts. $2M+ in presell revenue." |
| Methodology explanation | Detailed framework walkthrough | P.A.G.E. Protocol breakdown |
| Data citations | Research and statistics | "According to [source], 80% of search volume..." |
| Expert endorsement | Third-party validation | Industry expert quote about the approach |

### Liking Sections

| Section Type | Application | Example |
|-------------|-------------|---------|
| Story/origin | Founder's journey | "We built this after watching 47 accounts make the same mistake" |
| Behind-the-scenes | Process transparency | "Here's how we discovered the 13 page types" |
| Shared struggle | Common experience | "If you've ever stared at a Google Ads dashboard wondering..." |

### Scarcity Sections

| Section Type | Application | Example |
|-------------|-------------|---------|
| Price increase | Time-limited pricing | "Limited time: $497. Regular price: $697." |
| Limited availability | Capacity constraint | "50 spots this cohort" (only if real) |
| Deadline | Time constraint | "Enrollment closes [date]" |

### Contrast Sections

| Section Type | Application | Example |
|-------------|-------------|---------|
| Before/after | Visual transformation | Side-by-side metrics |
| Alternative comparison | Your price vs other costs | "$497 vs $36K/year in agency fees" |
| Old way vs new way | Approach comparison | "CRO agencies test buttons. We fix page structure." |

### Loss Aversion Sections

| Section Type | Application | Example |
|-------------|-------------|---------|
| Cost of inaction | Monthly waste calculation | "$4,500/month in wasted ad spend from page mismatches" |
| Missed opportunity | Revenue they're not capturing | "80% of search volume you're not targeting" |
| ROI calculator | Personalized loss quantification | "Enter your spend and CVR to see your monthly waste" |

### Anchoring Sections

| Section Type | Application | Example |
|-------------|-------------|---------|
| Value stack | Total value before price | "$15,850 in value. Your price: $497." |
| Per-unit cost | Daily or hourly equivalent | "$2.73/day for lifetime access" |
| Alternative anchoring | Competitor pricing first | "CRO agencies: $3-15K/month. This system: $497 once." |

---

## Worksheet: Map Your Page

Fill in this worksheet for your specific page:

| Section Name | Primary Principle | Secondary Principle | Notes |
|-------------|------------------|-------------------|-------|
| ____________ | ______________ | ______________ | ____________ |
| ____________ | ______________ | ______________ | ____________ |
| ____________ | ______________ | ______________ | ____________ |
| ____________ | ______________ | ______________ | ____________ |
| ____________ | ______________ | ______________ | ____________ |
| ____________ | ______________ | ______________ | ____________ |
| ____________ | ______________ | ______________ | ____________ |
| ____________ | ______________ | ______________ | ____________ |

**Validation Checklist**:
- [ ] Does each section have at least one principle assigned?
- [ ] Do you have 3-5 different principles represented across the page?
- [ ] Do the principles match the awareness level selection matrix?
- [ ] Does the principle intensity escalate with the CTA progression? (soft principles early, hard principles near CTAs)
- [ ] Are evidence tiers appropriate? (VERIFIED for Authority/Social Proof claims, DERIVED for Loss Aversion calculations, ILLUSTRATIVE for Liking/Story sections)
- [ ] For advertorials: Is Scarcity absent from the first 60% of the page? (delayed product reveal rule)
- [ ] Does the System 1/2 dual-track hold? Headlines alone should convey the principle, body should provide the rational proof.

---

## Worked Example

**Scenario**: DTC supplement brand selling a collagen peptide powder ($49). Building a problem-aware advertorial targeting "how to reduce joint pain naturally." Monthly Google Ads spend: $18K.

### Page Parameters
- **Page type**: Advertorial
- **Awareness level**: Problem-Aware
- **Primary principles** (from matrix): Authority, Social Proof, Commitment
- **Secondary principles**: Reciprocity, Unity

### Completed Section Map

| Section Name | Primary Principle | Secondary Principle | Notes |
|-------------|------------------|-------------------|-------|
| "Your joints didn't break overnight" (Problem Mirror) | **Commitment** | Unity | Reader nods along - "that's me." Commitment through agreement. Unity: "if you're over 35 and active..." |
| "Why glucosamine didn't work" (Failed Solutions) | **Authority** | - | Cite 2023 BMJ meta-analysis on glucosamine efficacy. Authority through data, not self-claims. |
| "The collagen degradation cycle" (Root Cause) | **Reciprocity** | Authority | Teaching them something valuable (free education). Authority via mechanism explanation. |
| "What 2,400 users reported after 60 days" (Social Proof) | **Social Proof** | Commitment | Aggregate results build trust. Commitment: they've read this far, invested in the story. |
| "The Type II collagen difference" (Product Mechanism) | **Authority** | Contrast | Expert-level explanation differentiates from generic collagen. Contrast with "regular" collagen products. |
| "60-day supply, risk-free" (Offer) | **Loss Aversion** | Anchoring | "$49 / 60 days = $0.82/day vs $35/session for PT." Price anchoring against the alternative cost. |
| "What happens if you wait another 6 months" (Urgency) | **Loss Aversion** | Scarcity (soft) | Quantify cost of inaction: "6 more months of $35 PT sessions = $840." Soft scarcity via introductory pricing. |
| "Try it. 90-day guarantee." (CTA) | **Contrast** | Social Proof | "$49 once vs $840 in PT visits." Final proof: "Join 2,400+ who chose a different approach." |

### Validation Results

- [x] Each section has at least one principle assigned? **Yes** - all 8 sections have primary + 6 have secondary
- [x] 3-5 different principles represented? **Yes** - 6 principles used (Authority, Social Proof, Commitment, Reciprocity, Loss Aversion, Contrast)
- [x] Principles match problem-aware selection matrix? **Yes** - Authority and Social Proof are primary, Reciprocity is secondary
- [x] Principle intensity escalates? **Yes** - soft principles early (Commitment, Reciprocity), hard principles near CTAs (Loss Aversion, Scarcity)
- [x] Evidence tiers appropriate? **Yes** - VERIFIED for BMJ citation and user count, DERIVED for $0.82/day calculation
- [x] Advertorial: Scarcity absent from first 60%? **Yes** - Scarcity appears only in section 7 (87.5% through the page)
- [x] System 1/2 dual-track? **Yes** - headlines convey the argument; body provides rational evidence

**Key insight**: Problem-aware readers need Authority first (they need to trust you understand the problem better than they do) and Social Proof second (they need to see others with their problem who found a fix). Commitment works throughout because each section gets them to agree with one more premise.

---

## Your Turn

| Section Name | Primary Principle | Secondary Principle | Notes |
|-------------|------------------|-------------------|-------|
| ____________ | ______________ | ______________ | ____________ |
| ____________ | ______________ | ______________ | ____________ |
| ____________ | ______________ | ______________ | ____________ |
| ____________ | ______________ | ______________ | ____________ |
| ____________ | ______________ | ______________ | ____________ |
| ____________ | ______________ | ______________ | ____________ |
| ____________ | ______________ | ______________ | ____________ |
| ____________ | ______________ | ______________ | ____________ |

**Your awareness level**: ______________ (look up the Selection Matrix above for your primary/secondary principles)

Run the validation checklist after filling in every row.

---

## Interpretation Guide

| Pattern You See | What It Means | Action |
|----------------|--------------|--------|
| Same principle in 4+ sections | You're one-dimensional - readers get "persuasion fatigue" | Replace 1-2 occurrences with a different principle |
| No Authority in first 3 sections | Cold/warm readers haven't been given a reason to trust you | Add a data citation or expert reference early |
| Scarcity in the first half | You're pushing urgency before they believe in the product | Move Scarcity to the final 25% of the page |
| No Loss Aversion anywhere | You're only selling gains - missing the stronger motivator | Add one "cost of inaction" section near the CTA |
| Reciprocity as the only principle | You're teaching but never selling | Balance with Social Proof and Contrast near the CTA |
| All hard principles, no soft ones | Page feels like a high-pressure sales pitch | Add Reciprocity or Liking sections in the first half |

---

**Last Updated**: 2026-02-22


# Emotional Journey Planner

**Product**: The Google Ads Landing Page System ($497)
**Framework**: P.A.G.E. Protocol - Generate Phase (Module 7)

---

## How to Use This Template

1. Identify your awareness level and page type
2. Look up the stage allocation percentages in the table below
3. Map each stage to your specific page sections using the planning worksheet
4. Write each section with the target emotion as the primary driver
5. Validate that stage transitions feel natural and earned

---

## The 5 Emotional Stages

| Stage | Emotion | Reader's Internal State | Copy Goal |
|-------|---------|------------------------|-----------|
| **Recognition** | "That's me" | Sees themselves in the problem description | Mirror their experience with specificity |
| **Hope** | "Maybe there's a fix" | Believes a solution might exist | Introduce the possibility without selling |
| **Belief** | "This could actually work" | Understands the mechanism and trusts the evidence | Prove the approach works with data and logic |
| **Desire** | "I want this" | Imagines their life with the solution | Paint the after state and stack value |
| **Action** | "I'm doing this" | Makes the purchase decision | Remove friction and provide final reassurance |

---

## Stage Allocation by Awareness Level

| Stage | Unaware | Problem-Aware | Solution-Aware | Product-Aware | Most-Aware |
|-------|---------|---------------|----------------|---------------|------------|
| Recognition | 30% | 20% | 10% | 5% | 0% |
| Hope | 25% | 25% | 20% | 10% | 5% |
| Belief | 20% | 25% | 30% | 25% | 10% |
| Desire | 15% | 20% | 25% | 35% | 30% |
| Action | 10% | 10% | 15% | 25% | 55% |

**Reading the table**: For an Unaware audience with a 3,000-word page, Recognition should occupy approximately 900 words (30%), Hope 750 words (25%), etc.

---

## Stage Transition Techniques

### Recognition -  Hope

**The transition**: Reader agrees the problem exists. Now show it's solvable.

| Technique | Example |
|-----------|---------|
| Contrast statement | "But it doesn't have to be this way." |
| Discovery reveal | "We found something that changes this equation." |
| Data shift | "80% of brands have this problem. The 20% who don't share one thing in common." |
| Question pivot | "What if the issue isn't your ads? What if it's your pages?" |

### Hope -  Belief

**The transition**: Reader believes a solution might exist. Now prove your specific approach works.

| Technique | Example |
|-----------|---------|
| Mechanism explanation | "Here's why this works: [framework walkthrough]" |
| Case study | "A home goods brand used this exact approach. Results: [$22K -  $67K/month]" |
| Expert validation | "This is based on Schwartz's awareness framework - published in 1966, still the gold standard." |
| Logic chain | "If A is true (40-80% lower CPCs), and B is true (2-3x conversion), then C must follow (dramatically more profit)." |

### Belief -  Desire

**The transition**: Reader believes it works for others. Now make them want it for themselves.

| Technique | Example |
|-----------|---------|
| Personalization | "Imagine opening your dashboard and seeing [specific result]." |
| Value stacking | "Module 1: $2,000 value. Module 2: $400 value. Total: $15,850 in tools and frameworks." |
| Before/after specifics | "Before: product pages only, 1.8% CVR, stuck at $22K/month. After: 4 page types matched to intent, 4.1% CVR, scaling to $67K/month." |
| Exclusivity | "This is the exact system behind 160+ presell page deployments and $2M+ in presell revenue." |

### Desire -  Action

**The transition**: Reader wants it. Now remove every barrier to purchase.

| Technique | Example |
|-----------|---------|
| Risk reversal | "30-day guarantee. Build one page. If it doesn't outperform, full refund." |
| Urgency (if real) | "Limited time: $497. Regular price: $697." |
| Simplification | "Click below. Instant access. Start building your first page today." |
| Final proof | "160+ accounts. Never had a properly implemented page-type match fail to improve CVR." |

---

## Planning Worksheet

### Step 1: Define Your Page Parameters

| Parameter | Your Value |
|-----------|-----------|
| Page Type | __________ |
| Awareness Level | __________ |
| Total Word Count Target | __________ |
| Number of Sections | __________ |

### Step 2: Calculate Stage Word Counts

Use the allocation percentages from the table above.

| Stage | Allocation % | Word Count |
|-------|-------------|------------|
| Recognition | ___% | ___ words |
| Hope | ___% | ___ words |
| Belief | ___% | ___ words |
| Desire | ___% | ___ words |
| Action | ___% | ___ words |
| **Total** | **100%** | **___ words** |

### Step 3: Map Stages to Page Sections

| Section # | Section Name | Primary Stage | Word Count | Transition To |
|-----------|-------------|---------------|------------|---------------|
| 1 | ____________ | __________ | ___ | __________ |
| 2 | ____________ | __________ | ___ | __________ |
| 3 | ____________ | __________ | ___ | __________ |
| 4 | ____________ | __________ | ___ | __________ |
| 5 | ____________ | __________ | ___ | __________ |
| 6 | ____________ | __________ | ___ | __________ |
| 7 | ____________ | __________ | ___ | __________ |
| 8 | ____________ | __________ | ___ | __________ |
| 9 | ____________ | __________ | ___ | __________ |
| 10 | ____________ | __________ | ___ | __________ |

### Step 4: Validation Checklist

- [ ] Every stage is represented at least once
- [ ] Stages flow in order (no jumping from Recognition to Desire)
- [ ] Stage allocations are within 10% of the awareness-level targets
- [ ] Each stage transition uses at least one transition technique
- [ ] CTA progression matches stage: soft CTA in Hope/Belief, medium in Desire, hard in Action
- [ ] The Action stage includes at least one CTA with risk reversal
- [ ] Recognition uses specific, verifiable details (not generic pain) - VERIFIED evidence tier
- [ ] Belief includes at least one data point or case study - VERIFIED or DERIVED evidence tier
- [ ] For advertorials: product reveal happens no earlier than 60% through page (late Belief or early Desire stage)
- [ ] System 1/2 check: can a reader skim just the headlines and understand the full argument?
- [ ] 3-Rule Filter applied to all headline claims: Visualizable, Falsifiable, Unique

---

## Example: Completed Planner for Problem-Aware Advertorial

**Page Type**: Advertorial
**Awareness Level**: Problem-Aware
**Total Word Count**: 2,800 words

| Stage | Allocation | Word Count |
|-------|-----------|------------|
| Recognition | 20% | 560 words |
| Hope | 25% | 700 words |
| Belief | 25% | 700 words |
| Desire | 20% | 560 words |
| Action | 10% | 280 words |

| Section # | Section Name | Primary Stage | Word Count | Transition |
|-----------|-------------|---------------|------------|------------|
| 1 | Editorial headline + lede | Recognition | 150 | - |
| 2 | Problem expansion | Recognition | 410 | "But there's a pattern the top brands discovered..." |
| 3 | Root cause explanation | Hope | 350 | - |
| 4 | Solution approach introduction | Hope | 350 | "Here's the evidence..." |
| 5 | Case study #1 | Belief | 350 | - |
| 6 | Framework walkthrough | Belief | 350 | "What does this mean for your brand?" |
| 7 | Benefits with specifics | Desire | 280 | - |
| 8 | Value stack + comparison | Desire | 280 | "Ready to fix this?" |
| 9 | CTA + guarantee | Action | 180 | - |
| 10 | FAQ (2-3 items) | Action | 100 | - |

---

## Worked Example

**Scenario**: Mid-size DTC skincare brand selling a $89 Vitamin C serum. Running Google Ads at $22K/month. Building an advertorial for problem-aware searchers querying "how to get rid of dark spots."

### Step 1: Page Parameters

| Parameter | Value |
|-----------|-------|
| Page Type | Advertorial |
| Awareness Level | Problem-Aware |
| Total Word Count Target | 2,500 words |
| Number of Sections | 10 |

### Step 2: Stage Word Counts

| Stage | Allocation % | Word Count |
|-------|-------------|------------|
| Recognition | 20% | 500 words |
| Hope | 25% | 625 words |
| Belief | 25% | 625 words |
| Desire | 20% | 500 words |
| Action | 10% | 250 words |
| **Total** | **100%** | **2,500 words** |

### Step 3: Stages Mapped to Page Sections

| Section # | Section Name | Primary Stage | Word Count | Transition To |
|-----------|-------------|---------------|------------|---------------|
| 1 | "Dark spots after 30? It's not your sunscreen" | Recognition | 200 | - |
| 2 | "The $4,200/year cover-up cycle" | Recognition | 300 | "But dermatologists noticed something in 2024..." |
| 3 | "Why melanin overproduction starts in the dermis" | Hope | 325 | - |
| 4 | "The L-ascorbic acid concentration threshold" | Hope | 300 | "The clinical data is hard to argue with..." |
| 5 | "Sarah, 34, tracked her results for 8 weeks" | Belief | 325 | - |
| 6 | "The 20% concentration protocol" | Belief | 300 | "So what does this look like in practice?" |
| 7 | "Your morning in 60 seconds, not 20 minutes" | Desire | 250 | - |
| 8 | "What $89 saves you vs the alternative stack" | Desire | 250 | "Here's how to start..." |
| 9 | "Try the protocol risk-free" | Action | 150 | - |
| 10 | "Quick questions" (FAQ x3) | Action | 100 | - |

### Step 4: Validation

- [x] Every stage is represented at least once
- [x] Stages flow in order (Recognition -  Hope -  Belief -  Desire -  Action)
- [x] Stage allocations are within 10% of problem-aware targets (20/25/25/20/10)
- [x] Each transition uses a technique: data shift, mechanism explanation, personalization, simplification
- [x] CTA progression: soft in Hope ("learn how"), medium in Desire ("see the protocol"), hard in Action ("try risk-free")
- [x] Action stage includes risk reversal (60-day guarantee)
- [x] Recognition uses verifiable details: "$4,200/year" calculated from average concealer + treatment spend
- [x] Belief includes case study: Sarah's 8-week tracked results with before/after photos
- [x] Advertorial product reveal at section 6 (60% mark) - passes the late-reveal rule
- [x] System 1/2 check: headlines alone tell the story (dark spots -  why -  proof -  solution -  try it)
- [x] 3-Rule Filter: "Dark spots after 30?" is visualizable, falsifiable, unique to age-related hyperpigmentation

**Key insight**: The problem-aware audience already knows they have dark spots. Recognition (20%) is shorter - we validate their experience quickly, then spend the most time on Hope + Belief (50% combined) because they need to trust the mechanism before they'll consider a product.

---

## Your Turn

### Step 1: Your Page Parameters

| Parameter | Your Value |
|-----------|-----------|
| Page Type | __________ |
| Awareness Level | __________ |
| Total Word Count Target | __________ |
| Number of Sections | __________ |

### Step 2: Your Stage Word Counts

Look up your awareness level in the allocation table above, then multiply by your total word count.

| Stage | Allocation % | Word Count |
|-------|-------------|------------|
| Recognition | ___% | ___ words |
| Hope | ___% | ___ words |
| Belief | ___% | ___ words |
| Desire | ___% | ___ words |
| Action | ___% | ___ words |
| **Total** | **100%** | **___ words** |

### Step 3: Your Section Map

For each section, name it with a specific headline (not "Introduction"), assign the primary emotional stage, and write the exact transition sentence that bridges to the next stage.

| Section # | Section Name | Primary Stage | Word Count | Transition To |
|-----------|-------------|---------------|------------|---------------|
| 1 | ____________ | __________ | ___ | __________ |
| 2 | ____________ | __________ | ___ | __________ |
| 3 | ____________ | __________ | ___ | __________ |
| 4 | ____________ | __________ | ___ | __________ |
| 5 | ____________ | __________ | ___ | __________ |
| 6 | ____________ | __________ | ___ | __________ |
| 7 | ____________ | __________ | ___ | __________ |
| 8 | ____________ | __________ | ___ | __________ |
| 9 | ____________ | __________ | ___ | __________ |
| 10 | ____________ | __________ | ___ | __________ |

### Step 4: Run the Validation Checklist

Go through every checkbox in the validation checklist above. If any item fails, adjust your section map before writing.

---

## Interpretation Guide

| Situation | What It Means | Action |
|-----------|--------------|--------|
| Recognition stage is over 30% for problem-aware | You're re-explaining a problem they already know | Cut Recognition, redistribute to Belief |
| Belief stage is under 20% | Not enough proof to overcome skepticism | Add a case study or data section |
| Action stage is over 15% for cold traffic | You're pushing too hard too early | Reduce Action, add more Hope content |
| Product appears before 50% mark in advertorial | You broke the late-reveal rule | Restructure so product enters in Belief/Desire |
| Transition sentences feel forced | Your stages might be in wrong order | Recheck if sections naturally lead to each other |
| System 1/2 check fails | Skimming readers won't get the argument | Rewrite section headlines to tell the full story alone |

---

**Last Updated**: 2026-02-22


# 13 Page Type Templates

**Standalone Value**: $400
**Product**: The Google Ads Landing Page System ($497)

---

## Why This Bonus Matters

Building a landing page without a structural template is guesswork. You stare at a blank page, wonder how long each section should be, which proof elements go where, and whether the CTA should appear twice or five times.

These 13 templates eliminate that problem. Each one provides the exact section-by-section structure for a specific page format, pre-mapped to its optimal awareness level and traffic temperature.

Copy the template. Fill in your product details. Ship.

---

## The 13 Page Type Templates

### Template 1: Advertorial (Cold Traffic)

**Best for**: Unaware and Problem-Aware traffic from informational keywords
**Target word count**: 2,000-3,500 words
**CTA frequency**: 2 (mid-page + end)

**Section Structure**:

1. **Editorial Headline** - News-style headline that frames the product category as a discovery. No brand mention. Format: "[Surprising finding] about [problem category] that [audience] should know"
2. **Lede Paragraph** - 2-3 sentences establishing the problem in third-person journalistic tone. Reference a trend, study, or cultural shift.
3. **Problem Expansion** (300-500 words) - Deepen the problem with specific scenarios. Use "First-Person Pain" technique: describe what the reader experiences without naming the product.
4. **Bridge to Solution** (200-300 words) - Transition from problem to solution category. Not your product yet - the type of solution.
5. **Discovery Section** (400-600 words) - Introduce the product as something the "reporter" found during research. Third-person framing. Feature 3-5 benefits with specific data.
6. **Social Proof Insert** - 2-3 testimonials or data points. Format as pull quotes with attribution.
7. **Mid-Page CTA** - Soft CTA: "Learn more about [product name]" or "See how [product] works"
8. **Mechanism Explanation** (300-400 words) - How the product works. Technical enough to build credibility. Simple enough for the awareness level.
9. **Results Section** (200-300 words) - Before/after data. Specific numbers. Timeline of results.
10. **Closing CTA** - Slightly more direct: "Try [product name]" with risk reversal mention.

**Cialdini Principles**: Authority (expert quotes), Social Proof (testimonials), Unity (shared problem)

**Visual QA Checklist** (every advertorial must pass ALL of these):
- [ ] Editorial/article styling - page looks like a content site, not a sales page
- [ ] Native feel with content-site formatting - generous line height, readable font size, minimal brand elements above the fold
- [ ] Byline or author element - name, credentials, and optional photo. Without attribution, the page reads as anonymous marketing copy
- [ ] Editorial headline style - no ALL CAPS, no exclamation marks, no promotional language in the H1
- [ ] Text-heavy layout with minimal imagery - 80/20 text-to-image ratio. Lifestyle photos sprinkled in, not dominating
- [ ] Clear section progression from problem to solution - the reader should feel like they're discovering something, not being sold to
- [ ] Delayed product reveal - product not mentioned before 60% through the page
- [ ] No hard CTAs in the first half - only soft, educational CTAs ("learn more", "see how it works")

**Component Block Structure** (how this maps to the build system):
The production advertorial uses these block types in order: `hero` (editorial headline), `author_bio`, `rich_text` (problem), `rich_text` (failed solutions), `cta_section` (soft, secondary style), `rich_text` (mechanism reveal), `comparison_table`, `testimonials` (grid layout), `trust_badges` (media logos), `rich_text` (future pacing), `cta_section` (hard, primary style), `guarantee_box`, `faq` (with JSON-LD schema). Each block carries `emotional_stage` and `hooks_applied` metadata.

---

### Template 2: Listicle (Cold-to-Warm Traffic)

**Best for**: Problem-Aware traffic from "mistakes" and "tips" keywords
**Target word count**: 1,800-2,800 words
**CTA frequency**: 2-3

**Section Structure**:

1. **List Headline** - Number-driven: "[N] [mistakes/tips/secrets] about [topic] that [outcome]"
2. **Introduction** (100-200 words) - Establish why this list matters. Use a surprising statistic or contrarian claim.
3. **List Items 1-3** (200-300 words each) - Problem-focused items. Each item: bold headline, explanation, consequence, and mini-example.
4. **Mid-List CTA** - After item 3-4. Contextual: "If items 1-3 describe your situation, [product] addresses all of them."
5. **List Items 4-7** (200-300 words each) - Solution-adjacent items. Each one naturally connects to what the product does without hard selling.
6. **Product Integration Item** - One list item that directly features the product as the solution to the pattern established by previous items.
7. **Summary Box** - Quick-reference list of all items with one-line descriptions.
8. **Closing CTA** - Direct: "Fix [all N problems] with [product]"

**Cialdini Principles**: Authority (expertise in identifying problems), Commitment (reader agrees with each item), Social Proof (examples per item)

---

### Template 3: Comparison Page (Warm Traffic)

**Best for**: Solution-Aware and Product-Aware traffic from competitor and "vs" keywords
**Target word count**: 1,500-2,500 words
**CTA frequency**: 3

**Section Structure**:

1. **Comparison Headline** - Direct: "[Product A] vs [Product B]: [Specific criterion] comparison"
2. **Quick Verdict Box** - 3-4 sentence summary of the comparison conclusion. For impatient readers.
3. **Comparison Criteria Introduction** (100-150 words) - List the 5-7 criteria being compared. Explain why these criteria matter.
4. **Feature-by-Feature Comparison Table** - Side-by-side table with checkmarks, ratings, or brief notes per criterion.
5. **Detailed Breakdown by Criterion** (200-300 words each) - One section per criterion. Include specific evidence for claims.
6. **Mid-Page CTA** - After the criteria where your product wins most clearly.
7. **Use Case Recommendations** (200-300 words) - "Choose [Product A] if..." and "Choose [Product B] if..." - honest recommendations.
8. **Pricing Comparison** - Side-by-side pricing with total cost of ownership over 12 months.
9. **Verdict Section** (150-200 words) - Clear recommendation with reasoning.
10. **Final CTA** - Direct with specific offer: "Get [product] - [price] [risk reversal]"

**Cialdini Principles**: Contrast (side-by-side framing), Authority (objective analysis), Social Proof (user data in comparisons)

---

### Template 4: Guide Page (Warm Traffic)

**Best for**: Solution-Aware traffic from "how to" and "guide" keywords
**Target word count**: 2,500-4,000 words
**CTA frequency**: 2-3

**Section Structure**:

1. **Guide Headline** - Educational: "The complete guide to [outcome]: [specific method or framework]"
2. **Introduction + Credentials** (200-300 words) - Why this guide exists, who wrote it, experience behind it.
3. **Table of Contents** - Linked section headers for easy navigation.
4. **Foundation Section** (400-600 words) - Core concepts. Define terms. Establish the framework.
5. **Step-by-Step Process** (300-400 words per step) - 4-7 steps. Each step: action, explanation, example, common mistake.
6. **Mid-Guide CTA** - Contextual: "Want the templates for steps 1-7? [Product] includes all of them."
7. **Advanced Tips** (300-400 words) - 3-5 tips for readers already familiar with the basics.
8. **Common Mistakes** (200-300 words) - 3-5 mistakes with consequences and fixes.
9. **Resources Section** - Tools, further reading, related guides.
10. **Closing CTA** - "Get the complete system: [product] includes [what the guide covers + more]"

**Cialdini Principles**: Authority (comprehensive knowledge), Reciprocity (free value), Commitment (reader invested time)

---

### Template 5: Quiz/Assessment Page (Warm Traffic)

**Best for**: Solution-Aware traffic seeking personalized guidance
**Target word count**: 1,200-1,800 words (excluding quiz logic)
**CTA frequency**: 1 (post-results)

**Section Structure**:

1. **Quiz Headline** - Outcome-driven: "Find out which [solution type] is right for [your situation]"
2. **Introduction** (100-150 words) - Why a personalized recommendation matters. Establish that one-size-fits-all doesn't work.
3. **Quiz Questions** (5-8 questions) - Each question maps to a product recommendation or page type. Multiple choice with 3-4 options.
4. **Results Page** - Personalized recommendation based on answers. Includes: your type/profile, why this recommendation, what to do next.
5. **Product Recommendation** - Contextual CTA based on quiz results. Different copy per result type.
6. **Social Proof for Result Type** - Testimonial from someone with the same quiz result.

**Cialdini Principles**: Commitment (interactive engagement), Authority (personalized diagnosis), Unity (others like you)

---

### Template 6: Social Proof Page (Hot Traffic)

**Best for**: Product-Aware traffic who need final validation
**Target word count**: 1,500-2,500 words
**CTA frequency**: 3-4

**Section Structure**:

1. **Results Headline** - "[N] [customers/brands] who [achieved outcome] with [product]"
2. **Hero Testimonial** (200-300 words) - Longest, most detailed success story. Full before/after with timeline.
3. **Quick Stats Bar** - 3-4 aggregate metrics (total customers, average result, time to result)
4. **Testimonial Grid** (8-12 testimonials) - Mix of: short quotes (1-2 sentences), medium stories (3-4 sentences), video testimonials (embed + text summary)
5. **First CTA** - After the grid. Direct: "Join [N] customers - get [product]"
6. **Category Testimonials** (3-4 categories) - Grouped by industry, use case, or result type. 2-3 testimonials per category.
7. **Second CTA** - After categories.
8. **FAQ from Customers** - 5-7 questions that real customers asked before buying. Answers reference testimonials.
9. **Final CTA** - Urgency-driven with risk reversal.

**Cialdini Principles**: Social Proof (primary driver), Unity (industry match), Authority (results data)

---

### Template 7: Roundup Page (Warm Traffic)

**Best for**: Solution-Aware traffic researching options
**Target word count**: 2,000-3,000 words
**CTA frequency**: 2

**Section Structure**:

1. **Roundup Headline** - "Best [product category] for [specific use case] in [year]"
2. **Quick Picks Box** - Top 3 recommendations with one-line reasons.
3. **Methodology** (100-150 words) - How products were evaluated. Criteria list.
4. **Product Reviews** (250-400 words each, 5-7 products) - Each review: overview, pros, cons, pricing, verdict. Your product included (not always #1 - credibility matters).
5. **Comparison Table** - All products side-by-side on key criteria.
6. **Mid-Page CTA** - Subtle, after your product's review section.
7. **Buying Guide** (300-400 words) - How to choose based on budget, skill level, and goals.
8. **Final Recommendation** (100-200 words) - Contextual recommendation based on reader's likely situation.
9. **Closing CTA** - Direct but not aggressive.

**Cialdini Principles**: Authority (objective evaluation), Contrast (comparison framing), Social Proof (user ratings)

---

### Template 8: VSL Page (Hot Traffic)

**Best for**: Most-Aware traffic ready to buy
**Target word count**: 800-1,200 words (page copy) + video script
**CTA frequency**: 3-4

**Section Structure**:

1. **Video Hero** - Full-width video with play button. Headline above or below.
2. **Headline** - Outcome-focused: "[Specific result] in [timeframe] using [method]"
3. **Sub-headline** - Specificity: "For [audience] who [situation]"
4. **Video Embed** - 8-15 minute video following: Hook (30s), Problem (2min), Solution (3min), Proof (3min), Offer (2min), CTA (30s)
5. **Below-Video CTA** - Immediate. Same CTA as video ending.
6. **Bullet Points** (5-7 bullets) - Quick-scan value points for people who skip the video.
7. **Testimonial Strip** - 3-4 short testimonials.
8. **Second CTA** - With guarantee.
9. **FAQ** (3-5 questions) - Quick objection handling.
10. **Final CTA** - Urgency + scarcity if applicable.

**Cialdini Principles**: Liking (video builds rapport), Authority (on-camera expertise), Scarcity (limited offer)

---

### Template 9: Story Page (Cold Traffic)

**Best for**: Unaware traffic from content discovery
**Target word count**: 2,500-4,000 words
**CTA frequency**: 1-2

**Section Structure**:

1. **Story Headline** - Curiosity: "How [a person/brand] went from [before state] to [after state]"
2. **Opening Scene** (200-300 words) - Start in the middle of the action. Specific moment. Sensory details.
3. **Background** (300-400 words) - Context for the story. Relatable situation the reader recognizes.
4. **The Problem Deepens** (400-600 words) - Escalating tension. Multiple failed attempts. Emotional low point.
5. **The Discovery** (300-400 words) - How the solution was found. Accidental or through research.
6. **The Transformation** (400-600 words) - Implementation journey. Specific results with timeline.
7. **The Lesson** (200-300 words) - What the story means for the reader. Bridge from narrative to principle.
8. **Soft CTA** - "If [story character]'s situation sounds familiar, here's what we built to help."
9. **Product Introduction** (200-300 words) - Brief, relevant to the story's lesson.
10. **Closing CTA** - Low-pressure: "See how it works" or "Learn more"

**Cialdini Principles**: Liking (narrative connection), Unity (shared experience), Authority (results proof)

---

### Template 10: Problem-Solution Page (Cold-to-Warm Traffic)

**Best for**: Problem-Aware traffic from pain-point keywords
**Target word count**: 1,500-2,500 words
**CTA frequency**: 2-3

**Section Structure**:

1. **Problem Headline** - Pain-focused: "Why [problem] keeps happening (and the fix most [audience] miss)"
2. **Problem Description** (300-500 words) - Detailed problem exploration. Symptoms, causes, consequences.
3. **Failed Solutions** (200-300 words) - What doesn't work and why. Build credibility through honest assessment.
4. **Root Cause** (200-300 words) - The actual cause behind the problem. Educational value.
5. **Solution Framework** (300-500 words) - The approach that works. Introduce the methodology.
6. **Mid-Page CTA** - "Get the complete framework: [product]"
7. **Implementation Overview** (200-300 words) - High-level steps. Enough to show it's doable.
8. **Results Evidence** (200-300 words) - Before/after data from real implementations.
9. **Closing CTA** - Direct with risk reversal.

**Cialdini Principles**: Authority (root cause analysis), Commitment (problem agreement), Social Proof (results)

---

### Template 11: Lander (Hot Traffic)

**Best for**: Most-Aware and retargeting traffic
**Target word count**: 600-1,200 words
**CTA frequency**: 3-4

**Section Structure**:

1. **Headline** - Direct offer: "[Product] - [core benefit] for [audience]"
2. **Sub-headline** - Specificity and urgency.
3. **Hero CTA** - Above the fold. Button + price + guarantee.
4. **3-5 Bullet Points** - Quick-scan value propositions.
5. **Social Proof Strip** - 3-4 short testimonials or aggregate stats.
6. **Second CTA** - After social proof.
7. **Brief Offer Details** - What's included (list format).
8. **Guarantee** - Risk reversal details.
9. **Final CTA** - Urgency element if applicable.

**Cialdini Principles**: Scarcity (urgency), Social Proof (quick validation), Authority (brief credentials)

---

### Template 12: Review Page (Warm-to-Hot Traffic)

**Best for**: Product-Aware traffic searching for reviews
**Target word count**: 1,800-2,800 words
**CTA frequency**: 2-3

**Section Structure**:

1. **Review Headline** - "[Product] Review [Year]: [Honest verdict in 5-7 words]"
2. **Quick Verdict Box** - Rating, pros summary, cons summary, recommendation.
3. **What Is [Product]** (200-300 words) - Objective overview.
4. **Who It's For** (150-200 words) - Ideal customer profile.
5. **Feature Deep Dive** (300-500 words) - Detailed feature analysis with screenshots/evidence.
6. **Mid-Page CTA** - After strongest feature section.
7. **What I Liked** (200-300 words) - Honest positives with specific examples.
8. **What Could Be Better** (150-200 words) - Honest negatives. Builds trust.
9. **Pricing Analysis** (150-200 words) - Value assessment relative to alternatives.
10. **Final Verdict** (150-200 words) - Clear recommendation with conditions.
11. **Closing CTA** - Direct with best offer.

**Cialdini Principles**: Authority (detailed analysis), Liking (honest negatives), Contrast (pricing comparison)

---

### Template 13: Editorial Page (Warm Traffic)

**Best for**: Solution-Aware traffic from branded or thought-leadership keywords
**Target word count**: 2,000-3,500 words
**CTA frequency**: 2

**Section Structure**:

1. **Editorial Headline** - Thought-leadership: "[Contrarian take] about [industry topic]"
2. **Opening Thesis** (200-300 words) - Bold claim. Establish the argument.
3. **Evidence Section 1** (300-500 words) - First supporting point with data and examples.
4. **Evidence Section 2** (300-500 words) - Second supporting point.
5. **Evidence Section 3** (300-500 words) - Third supporting point.
6. **Counter-Argument** (200-300 words) - Address the strongest objection to your thesis. Shows intellectual honesty.
7. **Mid-Page CTA** - Contextual: "We built [product] based on these principles."
8. **Implications** (200-300 words) - What this means for the reader's business.
9. **Action Items** (200-300 words) - Specific next steps.
10. **Closing CTA** - "Get the system that applies these principles: [product]"

**Cialdini Principles**: Authority (thought leadership), Commitment (agreement with thesis), Contrast (old way vs new way)

---

## How to Use These Templates

1. Run the **Page Type Decision Tree** (Bonus 2) to identify which template to use
2. Copy the template section structure into your page builder or document
3. Fill each section using your product details, following the word count and CTA guidance
4. Apply the recommended Cialdini principles from Module 4 to each section
5. Match the Masterson lead type from Module 5 to the opening sections
6. Run the 3-Rule Copy Filter on all headlines and key claims

---

**Last Updated**: 2026-02-22


# Awareness Level Decision Tree

**Standalone Value**: $150
**Product**: The Google Ads Landing Page System ($497)

---

## Why This Bonus Matters

The single most expensive mistake in Google Ads landing pages: sending traffic to the wrong page type. An informational searcher hitting a product page bounces. A ready-to-buy searcher hitting a 3,000-word advertorial loses patience.

This decision tree eliminates the guesswork. Answer 4 questions about your traffic, and it tells you which page type to build.

---

## The Decision Tree

### Step 1: Identify the Search Intent

Look at the keyword or audience signal driving the traffic.

| Keyword Pattern | Intent Type | Example |
|----------------|-------------|---------|
| "how to...", "what is...", "why does..." | Informational | "how to reduce acne scars" |
| "best...", "top...", "[category] for..." | Consideration | "best vitamin C serum for aging skin" |
| "[brand] vs [brand]", "[product] review" | Comparison | "CeraVe vs The Ordinary vitamin C" |
| "[brand name]", "[product name]" | Navigational | "The Ordinary vitamin C serum" |
| "[product] buy", "[product] price", "[product] discount" | Transactional | "The Ordinary vitamin C serum price" |

**Decision**: Note your intent type and move to Step 2.

---

### Step 2: Map Intent to Awareness Level

| Intent Type | Awareness Level | What the Searcher Knows |
|------------|----------------|------------------------|
| Informational | Unaware or Problem-Aware | May not know the problem exists, or knows the problem but not solutions |
| Consideration | Solution-Aware | Knows solutions exist, comparing categories |
| Comparison | Product-Aware | Knows your product (or competitors), comparing specific options |
| Navigational | Product-Aware | Already knows your brand |
| Transactional | Most-Aware | Ready to buy, needs the final push |

**Decision**: Note your awareness level and move to Step 3.

---

### Step 3: Select Page Type by Awareness Level

#### Unaware -  Story or Advertorial

**Choose Story if**: The product requires emotional connection before logic. The audience doesn't know the problem exists. Long consideration cycle.

**Choose Advertorial if**: The product can be framed as a news-worthy discovery. The audience can be educated about the problem through editorial content.

#### Problem-Aware -  Advertorial, Listicle, or Problem-Solution

**Choose Advertorial if**: You need maximum trust-building. The product is new or unfamiliar. CPCs on informational keywords are significantly lower than product keywords.

**Choose Listicle if**: The problem has multiple symptoms or mistakes. Scannable format works for your audience. Keywords include "mistakes," "tips," or "things to know."

**Choose Problem-Solution if**: One primary problem with one primary solution. Shorter consideration cycle. Direct path from pain to fix.

#### Solution-Aware -  Guide, Editorial, Roundup, Quiz, or Comparison

**Choose Guide if**: Your product is the logical conclusion of the educational process. Keywords include "how to" or "guide."

**Choose Editorial if**: You have a contrarian perspective that differentiates your approach. Thought-leadership positioning matters.

**Choose Roundup if**: Multiple solutions exist and you win in specific criteria. Keywords include "best" or "top."

**Choose Quiz if**: The right solution depends on the user's specific situation. Personalization drives conversion in your category.

**Choose Comparison if**: You're being compared directly to a competitor. Keywords include "vs" or "[competitor] alternative."

#### Product-Aware -  Comparison (Us vs Them), Review, or Social-Proof

**Choose Comparison if**: Searcher is actively comparing you to a specific competitor.

**Choose Review if**: Searcher wants third-party validation. Keywords include "[your brand] review."

**Choose Social-Proof if**: You have strong testimonials/results data. Searcher needs final validation before buying.

#### Most-Aware -  Lander or VSL

**Choose Lander if**: Short decision cycle. Clear offer. Retargeting traffic.

**Choose VSL if**: Complex product that benefits from video explanation. Higher price point. Need to rebuild excitement.

---

### Step 4: Validate with Traffic Temperature

Cross-check your page type selection against the traffic temperature:

| Temperature | Characteristics | Page Length | CTA Style | Proof Needed |
|------------|----------------|-------------|-----------|--------------|
| Cold | Never heard of you. Searching for information. | 2,000-4,000 words | Soft, educational | High (third-party, data) |
| Warm | Researching solutions. May know your brand. | 1,500-3,000 words | Direct but not aggressive | Medium (testimonials, comparisons) |
| Hot | Knows you. Ready to decide. | 600-1,500 words | Direct, urgent | Low (quick validation) |

**Validation rule**: If your page type word count range doesn't match the traffic temperature, reconsider the selection.

---

## Quick Reference Card

| Awareness Level | Primary Page Types | Word Count | CTA Count |
|----------------|-------------------|------------|-----------|
| Unaware | Story, Advertorial | 2,500-4,000 | 1-2 |
| Problem-Aware | Advertorial, Listicle, Problem-Solution | 1,500-3,500 | 2-3 |
| Solution-Aware | Guide, Editorial, Roundup, Quiz, Comparison | 1,500-4,000 | 2-3 |
| Product-Aware | Comparison, Review, Social-Proof | 1,500-2,800 | 2-3 |
| Most-Aware | Lander, VSL | 600-1,500 | 3-4 |

---

## Example: Vitamin C Serum Brand

**Keyword**: "how to reduce dark spots on face"
- Step 1: Informational intent
- Step 2: Problem-Aware (knows the problem, not the solution)
- Step 3: Advertorial (education-first, high trust needed)
- Step 4: Cold traffic -  2,000-3,500 words, soft CTAs, high proof

**Keyword**: "best vitamin C serum for dark spots"
- Step 1: Consideration intent
- Step 2: Solution-Aware (knows vitamin C works, comparing options)
- Step 3: Roundup page (multiple options, positioned to win)
- Step 4: Warm traffic -  2,000-3,000 words, direct CTAs, medium proof

**Keyword**: "The Ordinary vitamin C serum review"
- Step 1: Comparison intent
- Step 2: Product-Aware (knows specific product)
- Step 3: Review page (third-party validation format)
- Step 4: Warm-to-hot traffic -  1,800-2,800 words, 2-3 CTAs

---

**Last Updated**: 2026-02-22


# Social Proof Section Library (15 Formats)

**Standalone Value**: $200
**Product**: The Google Ads Landing Page System ($497)

---

## Why This Bonus Matters

"Add social proof" is the most common landing page advice and the least specific. Where does it go? What format? How many testimonials? Should you use video, text, or screenshots?

This library gives you 15 proven social proof section formats, each designed for a specific position on the page and a specific awareness level. Copy the format, insert your proof elements, and deploy.

---

## The 15 Social Proof Formats

### Format 1: Hero Testimonial Block

**Position**: Below hero section
**Best for**: Product-Aware and Most-Aware pages
**Elements**: Single testimonial (3-5 sentences), customer photo, name, title, company. Optional: metric callout.

```
[Customer photo]
"Specific testimonial about the primary benefit. Include a number.
Reference the before state and after state in concrete terms."
- [Full Name], [Title] at [Company]
Result: [Specific metric improvement]
```

**Why it works**: Single strong proof point at the decision-critical moment.

---

### Format 2: Logo Bar

**Position**: Below hero or credibility bar
**Best for**: All awareness levels
**Elements**: 6-12 customer/press logos in a horizontal strip.

**Rules**:
- Grayscale logos (reduce visual noise)
- Most recognizable brands first (left to right)
- Include "Trusted by" or "As seen in" label
- Minimum 6 logos for credibility threshold

**Why it works**: Instant authority transfer. No reading required.

---

### Format 3: Metric Cards (3-Column)

**Position**: After problem or mechanism section
**Best for**: Solution-Aware and Product-Aware pages
**Elements**: 3 metrics in card format.

```
[Large number]        [Large number]        [Large number]
[Metric label]        [Metric label]        [Metric label]
[Context sentence]    [Context sentence]    [Context sentence]
```

**Example**:
- 160+ accounts managed
- 160+ presell page deployments
- 40-80% average CPC reduction

**Why it works**: Numbers process faster than text. Three is cognitively satisfying.

---

### Format 4: Before/After Comparison Strip

**Position**: After solution or mechanism section
**Best for**: Problem-Aware and Solution-Aware pages
**Elements**: Side-by-side before/after with specific metrics.

```
BEFORE                          AFTER
$4.20 avg CPC                  $0.85 avg CPC
2.1% conversion rate            4.3% conversion rate
$22K/month ad spend             $67K/month ad spend
[Customer name + timeline]
```

**Why it works**: Visual contrast makes improvement undeniable. Cialdini's Contrast Principle applied.

---

### Format 5: Testimonial Grid (6-12 Cards)

**Position**: Dedicated social proof section
**Best for**: Product-Aware and Most-Aware pages
**Elements**: Grid of testimonial cards with photos, names, and short quotes.

**Layout rules**:
- 2-3 columns on desktop, 1 column on mobile
- Mix quote lengths (1 sentence, 2-3 sentences, 4-5 sentences)
- Include at least one industry-specific testimonial per target vertical
- Add star ratings if available

**Why it works**: Volume creates consensus effect. Mix of lengths keeps visual interest.

---

### Format 6: Case Study Summary Card

**Position**: After mechanism or proof section
**Best for**: Solution-Aware and Product-Aware pages
**Elements**: Condensed case study in a bordered card.

```
[Company name/logo]    [Industry tag]
Challenge: [1-2 sentences]
Solution: [1-2 sentences]
Result: [2-3 specific metrics with timeframe]
"Pull quote from the customer about the experience."
```

**Why it works**: Full narrative arc in scannable format. More credible than isolated quotes.

---

### Format 7: Video Testimonial Embed

**Position**: Mid-page or dedicated proof section
**Best for**: Product-Aware pages with longer consideration cycles
**Elements**: Video embed with thumbnail, customer name, and text summary below.

**Rules**:
- Video under 90 seconds
- Custom thumbnail (not auto-generated)
- Include text transcript or summary below for non-video viewers
- Opening 5 seconds must state the key result

**Why it works**: Video testimonials convert 2-3x higher than text. Face and voice build trust faster.

---

### Format 8: Screenshot Wall

**Position**: After social proof section
**Best for**: All awareness levels (especially digital products)
**Elements**: Grid of screenshot images showing results, messages, or reviews.

**Rules**:
- Real screenshots (DMs, reviews, analytics dashboards)
- Highlight key text with colored overlays
- Include attribution where visible
- 8-15 screenshots for density effect

**Why it works**: Raw, unpolished proof feels more authentic than curated testimonials.

---

### Format 9: Expert Endorsement Block

**Position**: Below credibility bar or after mechanism section
**Best for**: Unaware and Problem-Aware pages (cold traffic)
**Elements**: Expert photo, credentials, and endorsement quote.

```
[Expert photo]
[Name, Title, Credentials]
"Endorsement quote specifically about the methodology or approach."
[Notable achievement or publication]
```

**Why it works**: Authority transfer from recognized expert. Essential for cold traffic where brand is unknown.

---

### Format 10: Results Timeline

**Position**: After before/after or proof section
**Best for**: Solution-Aware pages with implementation timeline
**Elements**: Vertical timeline with milestones and metrics.

```
Week 1:  [Action taken] -  [First metric change]
Week 3:  [Second action] -  [Second metric change]
Week 6:  [Third milestone] -  [Major result]
Week 12: [Final state] -  [Full transformation metric]
```

**Why it works**: Shows progression, not just endpoints. Makes the transformation feel achievable and realistic.

---

### Format 11: Industry-Specific Proof Tabs

**Position**: Dedicated proof section on pages targeting multiple verticals
**Best for**: Solution-Aware pages with diverse audiences
**Elements**: Tabbed interface with proof organized by industry.

```
[Skincare] [Supplements] [Fashion] [Home Goods] [Fitness]

Tab content: 2-3 testimonials + 1 case study metric per industry
```

**Why it works**: Unity principle - readers see proof from their own industry, which is more persuasive than general proof.

---

### Format 12: Social Media Proof Embed

**Position**: Below testimonial section
**Best for**: Problem-Aware and Solution-Aware pages
**Elements**: Embedded tweets, Instagram posts, or LinkedIn comments showing organic praise.

**Rules**:
- Real embeds (not screenshots where possible)
- Include date stamps for recency
- Mix platforms for broader credibility
- 4-8 embeds

**Why it works**: Third-party platform context adds authenticity. Platform UI signals "this person chose to say this publicly."

---

### Format 13: Guarantee + Proof Combo

**Position**: Near final CTA
**Best for**: Most-Aware pages where risk reversal is the remaining barrier
**Elements**: Guarantee details flanked by proof elements.

```
[Guarantee heading]
[Guarantee terms - clear, specific]
[2-3 short testimonials about the guarantee or refund experience]
[Metric: "X% of customers see results within Y days"]
```

**Why it works**: Combines risk reversal with proof that the guarantee is rarely needed. Dual reassurance.

---

### Format 14: User-Generated Content Carousel

**Position**: Mid-page or above final CTA
**Best for**: Product-Aware pages (e-commerce)
**Elements**: Scrollable carousel of customer photos, unboxing videos, or usage shots.

**Rules**:
- Real customer content (not staged)
- Include the customer's caption or comment
- Mix of demographics for broad relatability
- 10-20 items in carousel

**Why it works**: UGC is the most trusted content format. Carousel format invites engagement.

---

### Format 15: Aggregated Review Summary

**Position**: Below hero or in quick verdict section
**Best for**: Product-Aware and Most-Aware pages
**Elements**: Star rating, total review count, and distribution.

```
[4.8/5 stars] based on [347 reviews]

5 stars: ████████████████ 78%
4 stars: ████████ 15%
3 stars: ██ 4%
2 stars: █ 2%
1 star:  █ 1%
```

**Why it works**: Aggregated data is more persuasive than individual reviews. Distribution shows transparency (perfect 5.0 feels fake).

---

## Selection Guide: Which Formats by Page Type

| Page Type | Primary Formats | Secondary Formats | Evidence Tier |
|-----------|----------------|-------------------|--------------|
| Advertorial | Expert Endorsement, Screenshot Wall | Social Media Proof | VERIFIED only (delayed reveal - proof before product) |
| Listicle | Metric Cards, Before/After | Case Study Card | VERIFIED + DERIVED |
| Comparison | Before/After, Results Timeline | Testimonial Grid | VERIFIED (competitive claims must be provable) |
| Guide | Expert Endorsement, Metric Cards | Logo Bar | VERIFIED + DERIVED |
| Quiz | Industry Tabs, Case Study Card | Metric Cards | DERIVED (personalized results) |
| Social-Proof | Testimonial Grid, Video Testimonial, UGC Carousel | All formats | VERIFIED (volume is the strategy) |
| Roundup | Aggregated Review, Screenshot Wall | Expert Endorsement | VERIFIED + ILLUSTRATIVE |
| VSL | Hero Testimonial, Metric Cards | Logo Bar | VERIFIED (tight format, no room for weak proof) |
| Lander | Hero Testimonial, Logo Bar, Metric Cards | Guarantee Combo | VERIFIED (most-aware = hardest proof only) |
| Review | Aggregated Review, Before/After | Video Testimonial | VERIFIED + ILLUSTRATIVE |

### Placement by CTA Progression

Social proof sections should intensify alongside CTA progression:

| Page Position | CTA Level | Social Proof Strategy |
|---------------|-----------|----------------------|
| Above fold | Soft CTA | Logo bar or single metric (minimal, trust-building) |
| After problem/mechanism | Medium CTA | Case study card or before/after (proof of mechanism) |
| Before final CTA | Hard CTA | Testimonial grid + guarantee combo (volume + risk reversal) |

---

**Last Updated**: 2026-02-22


# GA4 Event Tracking Checklist

**Standalone Value**: $150
**Product**: The Google Ads Landing Page System ($497)

---

## Why This Bonus Matters

Most brands track page views and purchases. They have no idea what happens between those two events. Which sections do visitors read? Where do they drop off? Which CTA gets the most clicks? What's the scroll depth on a 3,000-word advertorial?

This checklist gives you the exact GA4 event taxonomy for landing pages. Every event name, every parameter, every implementation step. Set it up once per page type, then use the data to optimize every future page.

**Relationship to Module 10**: Module 10 in the main course covers the strategic measurement framework - what to measure, why, and how to interpret the data. This checklist is the tactical implementation guide - the exact events, GTM tags, and code to deploy. Start with Module 10 for the "what and why," then use this checklist for the "how."

---

## Event Naming Convention

All custom events follow this format:

```
lp_{page_type}_{action}_{element}
```

**Examples**:
- `lp_advertorial_scroll_50`
- `lp_comparison_click_cta_mid`
- `lp_listicle_view_section_3`

This convention ensures clean reporting in GA4 Explorations and prevents event pollution across your account.

---

## Core Events (All Page Types)

### Page-Level Events

| Event Name | Trigger | Parameters | Priority |
|------------|---------|------------|----------|
| `lp_page_view` | Page load | `page_type`, `awareness_level`, `traffic_source`, `page_version` | Required |
| `lp_scroll_25` | 25% scroll depth | `page_type`, `time_on_page` | Required |
| `lp_scroll_50` | 50% scroll depth | `page_type`, `time_on_page` | Required |
| `lp_scroll_75` | 75% scroll depth | `page_type`, `time_on_page` | Required |
| `lp_scroll_100` | 100% scroll depth | `page_type`, `time_on_page` | Required |
| `lp_time_30s` | 30 seconds on page | `page_type`, `scroll_depth_at_trigger` | Recommended |
| `lp_time_60s` | 60 seconds on page | `page_type`, `scroll_depth_at_trigger` | Recommended |
| `lp_time_120s` | 120 seconds on page | `page_type`, `scroll_depth_at_trigger` | Recommended |
| `lp_exit` | Page unload/navigation | `page_type`, `scroll_depth`, `time_on_page`, `last_section_viewed` | Required |

### CTA Events

| Event Name | Trigger | Parameters | Priority |
|------------|---------|------------|----------|
| `lp_click_cta_hero` | Hero CTA click | `page_type`, `cta_text`, `time_on_page` | Required |
| `lp_click_cta_mid` | Mid-page CTA click | `page_type`, `cta_text`, `section_before_cta` | Required |
| `lp_click_cta_final` | Final CTA click | `page_type`, `cta_text`, `scroll_depth`, `time_on_page` | Required |
| `lp_click_cta_sticky` | Sticky/floating CTA click | `page_type`, `cta_text`, `scroll_depth` | Optional |

### Section Visibility Events

| Event Name | Trigger | Parameters | Priority |
|------------|---------|------------|----------|
| `lp_view_section` | Section enters viewport (50%+ visible) | `page_type`, `section_name`, `section_index` | Required |
| `lp_view_testimonial` | Testimonial section visible | `page_type`, `testimonial_count` | Recommended |
| `lp_view_pricing` | Pricing/value stack visible | `page_type`, `time_on_page` | Required |
| `lp_view_guarantee` | Guarantee section visible | `page_type`, `time_on_page` | Recommended |

---

## Page-Type Specific Events

### Advertorial Events

| Event Name | Trigger | Parameters |
|------------|---------|------------|
| `lp_advertorial_read_complete` | Scroll past editorial content | `read_time`, `word_count` |
| `lp_advertorial_click_inline_link` | Click on in-text product link | `link_position`, `section_name` |
| `lp_advertorial_expand_details` | Click "read more" or expandable section | `section_name` |

### Comparison Page Events

| Event Name | Trigger | Parameters |
|------------|---------|------------|
| `lp_comparison_view_table` | Comparison table enters viewport | `competitors_shown` |
| `lp_comparison_click_tab` | Switch comparison tab/filter | `tab_name`, `competitor_selected` |
| `lp_comparison_click_winner` | Click on "winner" product link | `criterion_name` |

### Quiz Page Events

| Event Name | Trigger | Parameters |
|------------|---------|------------|
| `lp_quiz_start` | First question answered | `total_questions` |
| `lp_quiz_answer` | Each question answered | `question_index`, `answer_value` |
| `lp_quiz_complete` | All questions answered | `result_type`, `completion_time` |
| `lp_quiz_click_result_cta` | CTA click on results page | `result_type`, `cta_text` |

### VSL Page Events

| Event Name | Trigger | Parameters |
|------------|---------|------------|
| `lp_vsl_play` | Video play initiated | `video_source` |
| `lp_vsl_progress_25` | 25% video watched | `video_duration` |
| `lp_vsl_progress_50` | 50% video watched | `video_duration` |
| `lp_vsl_progress_75` | 75% video watched | `video_duration` |
| `lp_vsl_complete` | Video watched to end | `video_duration`, `total_watch_time` |
| `lp_vsl_click_cta_during` | CTA click during video | `video_progress_percent` |

---

## Implementation Checklist

### Step 1: GTM Container Setup

- [ ] Create a new GTM container or use existing one
- [ ] Add the GA4 configuration tag with your measurement ID
- [ ] Create a "Landing Page" trigger group for these events
- [ ] Set up the custom event tag template for `lp_*` events

### Step 2: Data Layer Variables

Create these data layer variables in GTM:

- [ ] `dlv_page_type` - Populated on page load (e.g., "advertorial", "comparison")
- [ ] `dlv_awareness_level` - Populated on page load (e.g., "problem_aware")
- [ ] `dlv_traffic_source` - Populated from UTM or referrer
- [ ] `dlv_page_version` - Populated on page load (for A/B testing)

### Step 3: Scroll Tracking

- [ ] Enable the built-in "Scroll Depth" trigger in GTM
- [ ] Set thresholds: 25%, 50%, 75%, 100%
- [ ] Create tags for each `lp_scroll_*` event
- [ ] Add `time_on_page` parameter using a custom JavaScript variable

### Step 4: Section Visibility

- [ ] Add `data-section` attributes to each page section in HTML
- [ ] Create an "Element Visibility" trigger for `[data-section]` elements
- [ ] Set minimum on-screen duration: 1 second
- [ ] Set minimum visible percentage: 50%

### Step 5: CTA Click Tracking

- [ ] Add `data-cta` attributes to all CTA buttons
- [ ] Create click triggers for `[data-cta="hero"]`, `[data-cta="mid"]`, `[data-cta="final"]`
- [ ] Capture `cta_text` from button inner text

### Step 6: Time-on-Page Tracking

- [ ] Create a custom HTML tag with timer JavaScript
- [ ] Fire events at 30s, 60s, 120s intervals
- [ ] Include current scroll depth at each interval

### Step 7: GA4 Custom Dimensions

Register these custom dimensions in GA4 Admin. The first 4 are landing-page-specific dimensions that enable page-type comparison and angle performance analysis:

**Landing Page Dimensions (Required)**:
- [ ] `presell_slug` (event-scoped) - Identifies the specific page (e.g., "vitamin-c-serum-advertorial")
- [ ] `angle_id` (event-scoped) - Maps to the 3-Version System angle (awareness/consideration/conversion)
- [ ] `strategy` (event-scoped) - Copy strategy used (benefit_led, curiosity_driven, direct_urgent)
- [ ] `page_type` (event-scoped) - Format type (advertorial, listicle, comparison, etc.)

**Supporting Dimensions (Recommended)**:
- [ ] `awareness_level` (event-scoped) - Buyer awareness level (unaware, problem_aware, solution_aware, product_aware, most_aware)
- [ ] `section_name` (event-scoped) - For section_view events
- [ ] `page_version` (event-scoped) - For A/B testing
- [ ] `traffic_source` (event-scoped) - Populated from UTM or referrer

**Why these matter**: Without `page_type` and `angle_id` as custom dimensions, you can't answer the most important question: "Which page format converts best for my product?" Every GA4 Exploration in the system depends on these dimensions for segmentation.

### Step 8: Testing

- [ ] Use GTM Preview mode to verify all events fire
- [ ] Check GA4 DebugView for event parameters
- [ ] Verify no duplicate events on page load
- [ ] Test on mobile and desktop
- [ ] Confirm scroll events fire in correct order

---

## GA4 Exploration Reports to Build

### Report 1: Section Drop-Off Funnel

**Type**: Funnel Exploration
**Steps**: `lp_view_section` events in order (section 1 -  section 2 -  ... -  final CTA)
**Insight**: Which section loses the most visitors

### Report 2: CTA Performance by Position

**Type**: Free-Form Exploration
**Rows**: CTA position (hero, mid, final)
**Values**: Event count, unique users
**Insight**: Which CTA placement converts best

### Report 3: Page Type Conversion Comparison

**Type**: Free-Form Exploration
**Rows**: `page_type` dimension
**Values**: `lp_page_view` count, `lp_click_cta_*` count, conversion rate
**Insight**: Which page types convert highest

### Report 4: Scroll Depth vs Conversion

**Type**: Free-Form Exploration
**Rows**: Maximum scroll depth achieved
**Values**: Conversion events
**Insight**: Minimum scroll depth for conversion (optimal page length indicator)

---

## Benchmarks by Page Type

| Page Type | Target Scroll 50%+ | Target Time 60s+ | Target CTA CTR | Target CVR |
|-----------|--------------------|--------------------|----------------|------------|
| Advertorial | 60%+ | 45%+ | 3-5% | 2-4% |
| Listicle | 55%+ | 35%+ | 4-6% | 2-3% |
| Comparison | 65%+ | 40%+ | 5-8% | 3-5% |
| Guide | 50%+ | 50%+ | 2-4% | 1-3% |
| Social-Proof | 70%+ | 30%+ | 6-10% | 4-6% |
| VSL | N/A (video) | 70%+ (video) | 5-8% | 3-6% |
| Lander | 80%+ | 20%+ | 8-15% | 5-10% |

---

## Production Implementation: Build-Time Tracking (No GTM Required)

For pages deployed on Cloudflare (static HTML), you can skip GTM entirely and embed tracking at build time. This is the approach used in our production presell pipeline, and it eliminates the 200-400ms GTM container load time.

### How Build-Time Tracking Works

Instead of loading GTM and firing tags through a container, the tracking JavaScript is baked directly into the page HTML during the build step:

**Scroll depth tracking** (built-in):
```
Fires at 25%, 50%, 75%, 90% milestones
Uses Intersection Observer on sentinel elements placed at each threshold
Parameters: presell_slug, angle_id, strategy, page_type
```

**CTA click tracking** (built-in):
```
Listens for clicks on all elements with data-cta attribute
Captures: cta_location (hero/mid/bottom/sticky), cta_text, page_type
Decorates the target URL with stored UTM/gclid parameters before redirect
```

**Time-on-page tracking** (built-in):
```
Timer fires events at 30s, 60s, 120s, 300s
Each event includes current scroll depth
Pauses when tab is hidden (uses Page Visibility API)
```

**Presell page view** (built-in):
```
Fires on DOMContentLoaded
Sends all 4 custom dimensions: presell_slug, angle_id, strategy, page_type
This is the anchor event that enables all downstream analysis
```

**UTM parameter decoration** (built-in):
```
Captures all query params on page load
Stores in sessionStorage
Appends to every product link on CTA click
Handles: gclid, gbraid, wbraid, utm_source, utm_medium, utm_campaign, utm_content, utm_term
```

**Result**: Sub-100ms TTFB with full tracking operational on first paint. No GTM container. No runtime injection. No flash of untracked content. Google Ads sees the same page the user sees.

### When to Use GTM vs Build-Time

| Scenario | Recommendation |
|----------|---------------|
| Cloudflare Pages deployment | Build-time tracking (faster, simpler, no GTM dependency) |
| Shopify deployment with `{% layout none %}` | Build-time for presell events + Shopify's `{{ content_for_header }}` for store analytics |
| Shopify deployment with page builder | GTM (page builders don't support custom script embedding easily) |
| Need to frequently change tracking without redeployment | GTM (changes don't require a code push) |
| Running A/B tests with different tracking per variant | GTM (variant-specific tag firing rules) |

### Presell Performance Report Structure

After collecting data for 14+ days, build a presell performance report with these aggregated views:

**Per-page breakdown**: landing_page, sessions, engagement_rate, click_throughs, CTR, conversions, revenue, cost (if Google Ads linked), ROAS

**By angle**: Aggregate all pages by angle_id to see which content angles drive the most revenue. This answers: "Is the 'adjustable pillow' angle outperforming the 'best pillow UK' angle?"

**By strategy**: Aggregate by copy strategy (benefit_led, curiosity_driven, direct_urgent). This answers: "Does curiosity-driven copy outperform benefit-led on cold traffic?"

**Data quality warnings**: Check for: Google Ads not linked (no cost data), e-commerce not configured (no revenue data), custom dimensions not populated (24-48hr delay after setup), no landing page data for specified filters.

---

**Last Updated**: 2026-02-22


# Theme Extraction Template

**Standalone Value**: $150
**Product**: The Google Ads Landing Page System ($497)

---

## Why This Bonus Matters

Your landing pages should look like they belong to your brand, not a generic template. But most landing page systems ignore visual brand consistency entirely. You build an advertorial that converts well but looks nothing like your website, and visitors feel the disconnect.

This template extracts the visual DNA of your existing brand (colors, typography, spacing, imagery style) and maps it to landing page sections. The result: pages that feel native to your site while following the P.A.G.E. Protocol structure.

---

## Brand DNA Extraction Worksheet

### Section 1: Color Palette

Extract these from your existing website or brand guidelines:

| Color Role | Hex Code | Used For |
|-----------|----------|----------|
| Primary | #_______ | Headlines, primary CTAs, brand elements |
| Secondary | #_______ | Sub-headlines, secondary buttons, accents |
| Background (main) | #_______ | Page background |
| Background (alternate) | #_______ | Alternating section backgrounds |
| Text (primary) | #_______ | Body copy |
| Text (secondary) | #_______ | Captions, metadata, supporting text |
| Success/positive | #_______ | Checkmarks, positive indicators, "after" state |
| Warning/urgency | #_______ | Urgency elements, countdown timers, limited offers |

**Extraction Method**:
1. Open your homepage in Chrome
2. Right-click any element -  Inspect
3. Check "Computed" tab for `color` and `background-color` values
4. Or use a browser extension like ColorZilla

### Section 2: Typography

| Type Role | Font Family | Weight | Size (Desktop) | Size (Mobile) |
|-----------|-------------|--------|----------------|---------------|
| H1 (page title) | __________ | _____ | ___px | ___px |
| H2 (section title) | __________ | _____ | ___px | ___px |
| H3 (sub-section) | __________ | _____ | ___px | ___px |
| Body text | __________ | _____ | ___px | ___px |
| CTA button text | __________ | _____ | ___px | ___px |
| Caption/meta | __________ | _____ | ___px | ___px |

**Extraction Method**:
1. Right-click a headline -  Inspect
2. Check "Computed" tab for `font-family`, `font-weight`, `font-size`
3. Repeat for body text and buttons

### Section 3: Spacing and Layout

| Element | Value |
|---------|-------|
| Max content width | ___px (common: 1200px, 1440px) |
| Section padding (top/bottom) | ___px desktop / ___px mobile |
| Paragraph spacing | ___px |
| Border radius (buttons) | ___px (0=sharp, 4-8=subtle, 20+=pill) |
| Border radius (cards) | ___px |
| Image corner radius | ___px |
| Line height (body) | ___ (common: 1.5-1.8) |

### Section 4: Visual Style

Answer these about your existing brand:

| Question | Your Answer |
|----------|------------|
| Photography style (studio/lifestyle/UGC/illustrated) | __________ |
| Dominant imagery mood (bright/dark/muted/vibrant) | __________ |
| Use of icons (none/minimal/moderate/heavy) | __________ |
| Icon style if used (line/filled/outline/custom) | __________ |
| Divider style between sections (none/line/gradient/shape) | __________ |
| Shadow usage (none/subtle/prominent) | __________ |
| Animation usage (none/minimal/moderate) | __________ |
| Overall design feel (minimal/clean/bold/editorial/luxury) | __________ |

---

## Section-to-Style Mapping

Use this table to apply your extracted brand DNA to each landing page section:

### For Advertorial Pages

| Section | Background | Text Style | Imagery | Special Notes |
|---------|-----------|------------|---------|---------------|
| Editorial headline | Background (main) | H1 + primary color | None | News-style, left-aligned |
| Lede paragraph | Background (main) | Body text, slightly larger | None | Increase line-height for readability |
| Problem expansion | Background (main) | Body text | Lifestyle photo (1 max) | Pull quotes in secondary color |
| Discovery section | Background (alternate) | Body text + H3 sub-heads | Product photo | First brand element appearance |
| Social proof | Background (alternate) | Body text + caption for attribution | Customer photos | Use card style with brand border-radius |
| Mid-page CTA | Primary color background | White or contrast text | None | Button uses secondary color or white |
| Mechanism | Background (main) | Body text + H3 sub-heads | Diagram or process image | Keep editorial feel |
| Closing CTA | Primary color background | White or contrast text | Product image | Larger button than mid-page |

### For Comparison Pages

| Section | Background | Text Style | Imagery | Special Notes |
|---------|-----------|------------|---------|---------------|
| Comparison headline | Background (main) | H1 | Brand logos side-by-side | Center-aligned |
| Quick verdict | Background (alternate) | H3 + body | None | Bordered card with brand radius |
| Comparison table | Background (main) | Body text in table | Checkmarks in success color | Highlight winning column with primary color |
| Feature breakdowns | Alternating backgrounds | H3 + body | Feature screenshots | Use brand card style |
| Use case section | Background (alternate) | Body text | None | Use brand icon style |
| Pricing comparison | Background (main) | H3 + body in table | None | Highlight your column |
| Verdict | Primary color background | White text | None | CTA button prominent |

### For Lander Pages

| Section | Background | Text Style | Imagery | Special Notes |
|---------|-----------|------------|---------|---------------|
| Hero | Background (main) or primary | H1 + large body | Product hero image | Full-width or centered |
| Bullet points | Background (main) | Body with checkmarks | None | Success color for checkmarks |
| Social proof strip | Background (alternate) | Caption style | Customer photos (small) | Compact layout |
| Offer details | Background (main) | H3 + body list | Product mockup | Use card style |
| Guarantee | Background (alternate) | H3 + body | Badge/seal image | Bordered section |
| Final CTA | Primary color background | White/contrast text, large | None | Maximum visual weight |

---

## Implementation Example

### Brand: [Example Skincare Brand]

**Extracted Values**:
- Primary: #2D5A27 (forest green)
- Secondary: #D4A373 (warm tan)
- Background: #FEFDF8 (warm white)
- Background alt: #F5F0E8 (light cream)
- Body font: Inter, 16px, weight 400
- Heading font: Playfair Display, weight 700
- Border radius: 8px
- Style: Clean, minimal, lifestyle photography

**Applied to Advertorial**:
- Headlines in Playfair Display, #2D5A27
- Body text in Inter, standard weight
- CTA buttons: #2D5A27 background, white text, 8px radius
- Testimonial cards: #F5F0E8 background, 8px radius, subtle shadow
- Social proof section: alternating with #F5F0E8 background
- Photography: lifestyle shots consistent with existing product pages

The result: an advertorial that feels like a natural extension of the brand's website, not a third-party template.

---

## Competitor Theme Cloning

Beyond extracting your own brand DNA, you can extract competitor page designs to understand what's working in your market. This is the same technique the Presell Builder AI Agent Blueprint describes for theme extraction:

### Competitor Extraction Steps

1. **Identify 2-3 top competitors** with presell/landing pages (check Google Ads Transparency Center)
2. **Extract their visual DNA** using the same worksheet above
3. **Note structural patterns**: section count, CTA frequency, social proof placement, image-to-text ratio
4. **Map their approach to awareness levels**: What level are they targeting? Which Cialdini principles are dominant?
5. **Identify gaps**: What sections are missing from their pages that the P.A.G.E. Protocol includes?

### What to Clone vs What to Differentiate

| Clone | Differentiate |
|-------|--------------|
| Industry-standard layout patterns (nav position, footer structure) | Color palette and typography (use YOUR brand DNA) |
| Proven section ordering for your vertical | Copy frameworks (use Masterson leads, not their approach) |
| Social proof density and placement | CTA copy and micro-copy (use CTA Formula Library) |
| Mobile responsive breakpoints | Narrative pattern (Carol Pattern or Discovery Narrative) |

---

## Quick-Start Process

1. **10 minutes**: Fill out the Brand DNA Extraction Worksheet above
2. **5 minutes**: Select the Section-to-Style Mapping for your page type
3. **Optional 15 minutes**: Run competitor extraction on 2-3 competitor pages
4. **Apply during build**: Reference this template while building in your page builder
5. **Final check**: Open your landing page and your homepage side-by-side. Do they feel like the same brand?

---

**Last Updated**: 2026-02-22


# PMax Asset Kit for Presell Pages

**Standalone Value**: $200
**Product**: The Google Ads Landing Page System ($497)

---

## Why This Bonus Matters

You built the presell page. Now you need to drive traffic to it through PMax. But PMax presell campaigns have different requirements than standard PMax Shopping campaigns. The headlines are longer. The descriptions focus on education, not purchase. The audience signals target upper-funnel intent.

This kit covers the tactical side of PMax presell campaigns: asset creation (headlines, descriptions, images), audience signal selection, budget/bidding starting configuration, sitelink extensions, and integration with the Module 1 angle discovery output. It does NOT cover campaign setup steps, weekly scaling triggers, or the advanced measurement framework - those live in Module 12 of the main course.

**Relationship to Module 12**: Module 12 covers the strategic layer - campaign structure, step-by-step setup, scaling playbook with specific triggers, and the full measurement framework (efficiency, engagement, growth, and PMax diagnostic metrics). This kit is the worksheet you fill in while building assets. Use Module 12 for the "when and why to scale." Use this kit for the "what to put in the campaign."

---

## Asset Requirements: PMax Presell vs Standard

| Asset Type | Standard PMax | PMax Presell |
|-----------|--------------|--------------|
| Short headlines (max 30 chars) | Product-focused | Problem/curiosity-focused |
| Long headlines (max 90 chars) | Feature/benefit | Educational/discovery |
| Descriptions (max 90 chars) | Product selling points | Value proposition of the content |
| Images | Product photos | Lifestyle + problem imagery |
| Final URL | Product page | Presell landing page |
| Audience signals | Purchase intent | Research/consideration intent |
| Bidding | Maximize conversions | Maximize clicks or target CPA (micro-conversions) |

---

## Headline Formulas

### Short Headlines (30 characters max) - Generate 5

| Formula | Example | Awareness Target |
|---------|---------|-----------------|
| [Number] [Solution Type] [Audience] Miss | 5 Page Fixes Most Brands Miss | Problem-Aware |
| The [Adjective] [Outcome] Method | The Hidden CPC Reduction Method | Solution-Aware |
| Why Your [Asset] [Fails] | Why Your Pages Lose Sales | Problem-Aware |
| [Outcome] Without [Objection] | Scale Ads Without More Budget | Solution-Aware |
| [Number] [Thing] You [Need/Miss] | 13 Page Types You're Missing | Problem-Aware |

**Your 5 Short Headlines** (fill in):
1. ________________________________
2. ________________________________
3. ________________________________
4. ________________________________
5. ________________________________

### Long Headlines (90 characters max) - Generate 5

| Formula | Example |
|---------|---------|
| How [Audience] [Achieved Outcome] by [Method] | How E-Commerce Brands Cut CPCs 60% by Matching Page Type to Search Intent |
| [Number] [Audience] Stopped [Bad Practice] and [Got Result] | 160+ Brands Stopped Sending All Traffic to Product Pages and Saw 2x CVR |
| The [Outcome] Guide That [Proof Element] | The Landing Page System Behind 160+ Presell Page Deployments |
| Why [Common Practice] Costs You [Amount] Per [Time] | Why Generic Product Pages Cost You $4,500 Per Month in Wasted Clicks |
| [Audience]: [Specific Finding] About [Topic] | Google Ads Managers: 80% of Search Volume Never Sees the Right Page |

**Your 5 Long Headlines** (fill in):
1. ________________________________
2. ________________________________
3. ________________________________
4. ________________________________
5. ________________________________

### Descriptions (90 characters max) - Generate 5

| Formula | Example |
|---------|---------|
| [Benefit]. [Proof]. [CTA verb]. | 40-80% lower CPCs. Tested across 160+ accounts. See the system. |
| [Problem] solved. [Outcome] delivered. [Timeframe]. | Page mismatch fixed. CVR doubled. First results in 2 weeks. |
| [Number] [asset type] for [outcome]. [Access method]. | 13 page templates for every awareness level. Instant access. |
| Stop [bad practice]. Start [good practice]. [Proof]. | Stop sending cold traffic to product pages. Match intent. 3x CVR. |
| [Framework name]: [what it does] in [timeframe]. | P.A.G.E. Protocol: right page type in 30 minutes. Proven system. |

**Your 5 Descriptions** (fill in):
1. ________________________________
2. ________________________________
3. ________________________________
4. ________________________________
5. ________________________________

---

## Audience Signal Recommendations

### For Presell Campaigns Targeting Cold Traffic

**Custom Segments (Search Themes)**:
- "how to improve landing page conversion rate"
- "landing page best practices for google ads"
- "why google ads not converting"
- "how to lower google ads CPC"
- "landing page design for ecommerce"
- "google ads quality score improvement"
- "presell page examples"
- "advertorial landing page"

**In-Market Audiences**:
- Advertising   Marketing Services
- SEO   SEM Services
- Business Technology
- Web Design   Development

**Affinity Audiences**:
- Business Professionals
- Technophiles
- Small Business Owners

### For Presell Campaigns Targeting Warm Traffic

**Custom Segments (Search Themes)**:
- "landing page system for google ads"
- "google ads landing page templates"
- "CRO for ecommerce"
- "page type selection framework"
- "conversion rate optimization course"

**Your Own Data**:
- Website visitors (last 30 days) who viewed blog content
- YouTube viewers (if applicable)
- Email subscribers who haven't purchased

---

## Budget and Bidding Configuration

### Starting Configuration

| Setting | Recommendation | Rationale |
|---------|---------------|-----------|
| Daily budget | $30-50/day | Presell needs volume for learning. Below $30 starves the algorithm. |
| Bidding strategy | Maximize Clicks (first 2 weeks) | Presell micro-conversions need data before tCPA works. |
| Bidding strategy (after learning) | Target CPA | Set tCPA at 2x your acceptable cost per presell-page visitor. |
| Micro-conversion | Scroll 50%+ on presell page | Better signal than page view. Indicates engagement. |
| Macro-conversion | CTA click on presell page | Measures actual interest in the product. |

### Budget Scaling Timeline

| Week | Budget | Bidding | Expected |
|------|--------|---------|----------|
| 1-2 | $30-50/day | Maximize Clicks | Learning phase. 500+ clicks. Low CVR expected. |
| 3-4 | $50-75/day | Target CPA (if data sufficient) | CVR stabilizing. Identify winning assets. |
| 5-8 | $75-150/day | Target CPA optimized | Scale winning combinations. Pause underperformers. |
| 9+ | Based on ROI | Target ROAS (if tracking end-to-end) | Full funnel optimization. |

### Key Metrics to Track

| Metric | Target | Action if Below |
|--------|--------|-----------------|
| CTR on presell ad | 2%+ | Refresh headlines and images |
| Scroll 50%+ on presell | 40%+ | Revise page opening sections |
| CTA click rate on presell | 3%+ | Test different CTA copy and placement |
| Presell-to-purchase rate | 1-3% | Check product page alignment |
| Overall funnel ROAS | 2x+ break-even | Optimize or pause low-performing segments |

---

## Asset Refresh Schedule

| Timeframe | Action |
|-----------|--------|
| Every 2 weeks | Review asset performance in PMax Insights. Pause lowest CTR assets. |
| Monthly | Add 2-3 new headline variations based on search term data. |
| Quarterly | Full asset refresh. New images, updated proof points, new angles. |
| After major page update | Replace all descriptions to reflect new page content. |

---

## Sitelink Extensions for Presell Campaigns

Add sitelinks to direct engaged users to specific page sections or related content:

| Sitelink | Link Text | Description Line 1 | Description Line 2 |
|----------|-----------|--------------------|--------------------|
| Main presell | "Read the Full Guide" | "Research-backed [topic] guide" | "No purchase required" |
| Proof section | "See the Results" | "[N] brands tested this approach" | "Real data, real outcomes" |
| Comparison | "Compare Your Options" | "Side-by-side analysis" | "[N] alternatives reviewed" |
| Quick verdict | "Get the Quick Summary" | "5-minute overview" | "Key findings + recommendation" |

---

## Image Asset Guidelines

| Image Type | Specs | Purpose | Awareness Target |
|-----------|-------|---------|-----------------|
| Lifestyle (problem state) | 1200x628, 1200x1200, 960x1200 | Show the pain/frustration | Cold traffic |
| Data visualization | 1200x628 | Charts, graphs, before/after metrics | Warm traffic |
| Product in context | 1200x1200, 960x1200 | Product being used naturally | Warm-hot traffic |
| Results screenshot | 1200x628 | Dashboard, testimonial, metric | All traffic |

**AI Image Prompt Framework**: For each image, specify: subject + action + environment + lighting + brand color palette + text overlay (if any). Maintain brand consistency using the Theme Extraction Template values.

**AI Image Aspect Ratios** (Google Ads specifications):
- Landscape: 1.91:1 (1200x628) - Discovery, YouTube, Gmail
- Square: 1:1 (1200x1200) - Shopping, Discovery
- Portrait: 4:5 (960x1200) - Mobile Discovery, YouTube Shorts

---

## Integration with Angle Discovery (Module 1)

The PMax Asset Kit isn't standalone. It plugs directly into the angle discovery output from Module 1. Each angle generates a structured `pmax_assets` package:

```
pmax_assets:
  asset_group_name: "Angle-specific name"
  page_url: (set after deployment)
  headlines: [5 short headlines, max 30 chars each]
  descriptions: [5 descriptions, max 90 chars each]
  search_themes: [keyword themes from angle research]
  audience_signals:
    customer_match: true/false
    remarketing: true/false
    in_market: [relevant in-market categories]
    affinity: [relevant affinity categories]
```

This means you generate PMax assets DURING angle research, not after. The headlines are grounded in real keyword data and psychological hooks. The search themes come directly from the keyword clusters. The audience signals are matched to the funnel stage.

### How Angle Scoring Determines Asset Strategy

Each angle is scored on a 120-point system across 7 factors. The score determines which campaign type the assets should target:

| Campaign Type | Score Profile | Asset Strategy |
|---------------|--------------|----------------|
| Awareness | High traffic arbitrage (15+/20), low CPC | Problem/curiosity headlines, educational descriptions, broad search themes |
| Consideration | Balanced scores, medium commercial intent | Comparison headlines, value-prop descriptions, solution search themes |
| Conversion | High commercial intent (15+/20), high relevance | Benefit/urgency headlines, proof descriptions, product search themes |

### Campaign Viability Thresholds

Before building assets, verify the angle passes viability for at least one campaign type:

| Campaign Type | Min Volume | Max CPC | Min Commercial Ratio | Min Relevance |
|---------------|------------|---------|---------------------|---------------|
| Awareness | 800 | $3.50 | 0% | 0.5 |
| Consideration | 500 | $5.00 | 15% | 0.4 |
| Conversion | 300 | No cap | 25% | 0.3 |

An angle is viable if it qualifies for ANY campaign type. Don't build PMax assets for angles that fail all three.

---

## Example: Complete Asset Set for a Skincare Brand's Advertorial

**Short Headlines**:
1. Fix Your Skincare Routine Now (30c)
2. Why Serums Fail Most People (27c)
3. 5 Skincare Mistakes to Avoid (28c)
4. Clear Skin Without Harsh Acids (29c)
5. The Hidden Cause of Breakouts (29c)

**Long Headlines**:
1. Dermatologists Found That 73% of Acne Treatments Target the Wrong Layer of Skin (82c)
2. How 10,000 Women Fixed Persistent Breakouts by Changing One Step in Their Routine (83c)
3. The Science-Backed Skincare Approach That Cleared 89% of Test Subjects in 6 Weeks (84c)
4. Why Your $200/Month Skincare Routine Might Be Making Your Skin Worse, Not Better (82c)
5. Stop Buying Products. Start Understanding Your Skin Barrier. Free Research Inside. (83c)

**Descriptions**:
1. 73% of treatments miss the root cause. See the dermatologist research. Free guide. (81c)
2. One routine change. 89% success rate in clinical testing. Read the full breakdown. (82c)
3. Your skin barrier matters more than products. Science-backed guide. No purchase needed. (88c)
4. Stop guessing. Start with science. Free skincare guide from dermatology research. (80c)
5. The 6-week protocol that cleared persistent breakouts. See the clinical data. (75c)

---

**Last Updated**: 2026-02-22


# CTA Copy Formulas (30 Variations)

**Standalone Value**: $100
**Product**: The Google Ads Landing Page System ($497)

---

## Why This Bonus Matters

Most landing pages use one CTA repeated verbatim. "Buy Now." "Shop Now." "Learn More." These generic CTAs ignore the reader's awareness level and emotional state at the point of decision.

This library provides 30 CTA formulas organized by awareness level and page position. Each formula includes the button text, supporting micro-copy, and the psychological trigger it activates.

---

## CTA Formulas by Awareness Level

### Cold Traffic CTAs (Unaware / Problem-Aware)

**1. The Curiosity Soft-Sell**
- Button: "See How It Works"
- Micro-copy: "No commitment. Takes 2 minutes."
- Trigger: Low friction, curiosity

**2. The Educational Bridge**
- Button: "Get the Free Guide"
- Micro-copy: "Learn the [N] [framework elements] behind [outcome]."
- Trigger: Reciprocity, value-first

**3. The Discovery Prompt**
- Button: "Find Out Which [Solution Type] Fits You"
- Micro-copy: "Quick assessment. Personalized recommendation."
- Trigger: Commitment, personalization

**4. The Problem Validator**
- Button: "Check If This Applies to You"
- Micro-copy: "Most [audience] don't realize [surprising stat]."
- Trigger: Curiosity, fear of missing out

**5. The Quiet Authority**
- Button: "Read the Full Research"
- Micro-copy: "Based on [N] accounts and [$X] in managed spend."
- Trigger: Authority, depth

**6. The Next Step**
- Button: "See What's Inside"
- Micro-copy: "Complete breakdown of the [N]-module system."
- Trigger: Curiosity, commitment escalation

---

### Warm Traffic CTAs (Solution-Aware)

**7. The Specific Outcome**
- Button: "Get [Specific Result] in [Timeframe]"
- Micro-copy: "Same system used by [proof element]."
- Trigger: Specificity, social proof

**8. The Comparison Closer**
- Button: "See Why [N] Brands Chose This"
- Micro-copy: "Side-by-side comparison with [alternative]."
- Trigger: Social proof, contrast

**9. The Framework CTA**
- Button: "Get the [Framework Name]"
- Micro-copy: "[N] modules. [N] templates. Instant access."
- Trigger: Completeness, proprietary method

**10. The Risk Reversal Lead**
- Button: "Try It Risk-Free"
- Micro-copy: "[N]-day guarantee. Build one page. If it doesn't outperform, full refund."
- Trigger: Risk elimination

**11. The Calculator CTA**
- Button: "Calculate Your Savings"
- Micro-copy: "Enter your current spend and conversion rate."
- Trigger: Personalization, loss aversion

**12. The Demo Request**
- Button: "See a Sample Page"
- Micro-copy: "Real example. Real results. No opt-in required."
- Trigger: Low friction, proof

**13. The Template Hook**
- Button: "Get the Templates"
- Micro-copy: "[N] page type templates. Copy, customize, deploy."
- Trigger: Convenience, instant gratification

---

### Hot Traffic CTAs (Product-Aware / Most-Aware)

**14. The Direct Purchase**
- Button: "Get the [Product Name] - $[Price]"
- Micro-copy: "Instant access. Lifetime updates. [N]-day guarantee."
- Trigger: Clarity, decision simplification

**15. The Urgency Direct**
- Button: "Get It Before Price Increases"
- Micro-copy: "Launch pricing: $[price]. Next cohort: $[higher price]."
- Trigger: Scarcity, loss aversion

**16. The Value Anchor**
- Button: "Get $[Total Value] of Systems for $[Price]"
- Micro-copy: "[N] modules + [N] bonuses + AI agent blueprint."
- Trigger: Contrast, perceived deal

**17. The Instant Gratification**
- Button: "Start Building Your First Page Now"
- Micro-copy: "Access in 60 seconds. Templates ready to use."
- Trigger: Immediacy, action bias

**18. The Social Proof Push**
- Button: "Join [N]+ Brands Using This System"
- Micro-copy: "Average result: [specific metric improvement]."
- Trigger: Social proof, bandwagon

**19. The ROI Anchor**
- Button: "Invest $[Price] to Save $[Annual Savings]/Year"
- Micro-copy: "One page covers the cost. Everything after is profit."
- Trigger: Loss aversion, rational justification

**20. The Agency Comparison**
- Button: "Get the System for Less Than 1 Month of Agency Fees"
- Micro-copy: "$[price] once vs $[agency cost]/month. Same frameworks."
- Trigger: Contrast, value framing

---

### Position-Specific CTAs

**21. Hero CTA (Above the Fold)**
- Button: "[Primary Action Verb] the [Product Name]"
- Micro-copy: "$[price] once. [N]-day guarantee. Instant access."
- Placement: Below hero headline and sub-headline

**22. Mid-Page CTA (After Proof Section)**
- Button: "Ready? Get the System Now"
- Micro-copy: "You've seen the results. Here's how to get them."
- Placement: After social proof or case study section

**23. Post-Bonus CTA (After Value Stack)**
- Button: "Get Everything Above for $[Price]"
- Micro-copy: "Total value: $[stacked value]. Your price: $[price]."
- Placement: After bonus showcase

**24. Post-Guarantee CTA (After Risk Reversal)**
- Button: "Start Risk-Free Today"
- Micro-copy: "[N]-day guarantee. Build and test before you decide."
- Placement: Immediately after guarantee section

**25. Final CTA (Page Bottom)**
- Button: "Last Chance: Get the [Product Name]"
- Micro-copy: "Scroll up to review everything included. Or just click here."
- Placement: Final section before footer

---

### Retargeting-Specific CTAs

**26. The Reminder**
- Button: "Still Thinking About It?"
- Micro-copy: "Here's what you'd get today: [top 3 benefits]."
- Trigger: Re-engagement, value reminder

**27. The Objection Buster**
- Button: "Not Sure? Read What [N] Buyers Said"
- Micro-copy: "Real results from real brands."
- Trigger: Social proof for hesitant buyers

**28. The Deadline**
- Button: "Your Spot Is Still Available"
- Micro-copy: "Launch pricing ends [date/timeframe]."
- Trigger: Scarcity, urgency

**29. The Bonus Highlight**
- Button: "Get [Most Appealing Bonus] Free with Purchase"
- Micro-copy: "Plus [N] other bonuses worth $[value]."
- Trigger: Added value, new information

**30. The Simple Ask**
- Button: "Yes, I Want This"
- Micro-copy: "$[price]. [N]-day guarantee. Instant access."
- Trigger: Commitment, decisiveness

---

## CTA Progression System

CTAs should escalate in intensity as the reader moves through the page. This matches the emotional journey framework (Recognition -  Hope -  Belief -  Desire -  Action):

| Position | Progression Level | CTA Style | Example Formulas |
|----------|------------------|-----------|-----------------|
| Hero (above fold) | Soft | Educational, low-friction | #1-6 (Cold) or #7-13 (Warm) |
| Mid-page (after proof) | Medium | Direct but supportive | #7-13 (Warm) or #14-20 (Hot) |
| Final (after guarantee) | Hard | Urgent, decisive | #14-20 (Hot) + #24-25 (Position) |

**Rule**: Never use a Hard CTA before presenting proof. Never use a Soft CTA as your final ask.

---

## How to Select the Right CTA

1. **Identify the awareness level** of the traffic hitting this page
2. **Apply the CTA progression** - soft at top, medium at middle, hard at bottom
3. **Select 2-4 formulas** from the matching awareness section for each position
4. **Add 1-2 position-specific CTAs** based on where CTAs appear on your page
5. **Customize the brackets** with your specific product data, metrics, and pricing
6. **Vary the micro-copy** between CTA placements - never repeat the same micro-copy twice on one page
7. **Apply the 3-Rule Filter** to CTA text: Is it Visualizable? Falsifiable? Unique?

---

**Last Updated**: 2026-02-22


# Page Speed Optimization Guide

**Standalone Value**: $100
**Product**: The Google Ads Landing Page System ($497)

---

## Why This Bonus Matters

A 3,000-word advertorial that takes 5 seconds to load loses 40% of visitors before the first headline renders. Google Ads Quality Score drops. CPCs rise. You built the right page and then sabotaged it with a slow deployment.

This guide covers the speed optimization checklist for both Shopify and Cloudflare deployments. Target: sub-2-second load time on mobile.

---

## Speed Targets

| Metric | Target | Why |
|--------|--------|-----|
| Largest Contentful Paint (LCP) |   2.5s | Google Core Web Vital. Affects Quality Score. |
| First Input Delay (FID) |   100ms | Interaction responsiveness. |
| Cumulative Layout Shift (CLS) |   0.1 | Visual stability. Prevents accidental mis-clicks. |
| Time to First Byte (TTFB) |   800ms | Server response time. |
| Total Page Weight |   1.5MB | Bandwidth on mobile connections. |

---

## Universal Optimization Checklist

### Images

- [ ] **Convert all images to WebP format** - 25-35% smaller than JPEG at equivalent quality
- [ ] **Set explicit width and height** on all ` img ` tags - prevents CLS
- [ ] **Lazy load below-fold images** - `loading="lazy"` attribute on images below the hero
- [ ] **Size images to display dimensions** - never serve a 2000px image in a 600px container
- [ ] **Use responsive images** - `srcset` attribute with 2-3 size variants
- [ ] **Compress hero image to   100KB** - this is your LCP element
- [ ] **Remove image metadata** - strip EXIF data before upload

### Fonts

- [ ] **Limit to 2 font families maximum** - each font adds 20-100KB
- [ ] **Use `font-display: swap`** - prevents invisible text during load
- [ ] **Subset fonts** - only include the character sets you use (Latin, no Cyrillic)
- [ ] **Self-host fonts** - avoid Google Fonts CDN round-trip (150-300ms)
- [ ] **Preload primary font** - ` link rel="preload" as="font" ` in ` head `

### Scripts

- [ ] **Defer non-critical JavaScript** - `defer` attribute on all scripts except analytics
- [ ] **Async load third-party scripts** - tracking, chat widgets, social embeds
- [ ] **Remove unused JavaScript** - audit with Chrome DevTools Coverage tab
- [ ] **Minify all JavaScript** - remove comments, whitespace, shorten variables
- [ ] **Limit GTM tags** - only fire landing-page-specific tags on landing pages

### CSS

- [ ] **Inline critical CSS** - above-fold styles in ` style ` tag in ` head `
- [ ] **Defer non-critical CSS** - below-fold styles loaded asynchronously
- [ ] **Remove unused CSS** - audit with Chrome DevTools Coverage tab
- [ ] **Minify CSS** - remove comments and whitespace
- [ ] **Avoid CSS @import** - each import creates a blocking request

### HTML

- [ ] **Minify HTML** - remove comments and unnecessary whitespace
- [ ] **Preconnect to required origins** - ` link rel="preconnect" href="https://..." ` for CDNs, analytics, fonts
- [ ] **Set correct Content-Type headers** - ensures browser doesn't sniff MIME types
- [ ] **Enable compression** - Gzip or Brotli on server

---

## Shopify-Specific Optimization

### Theme-Level

- [ ] **Use a speed-optimized theme** - Dawn, Taste, Sense (native Shopify themes score highest)
- [ ] **Minimize installed apps** - each app injects 1-3 scripts. Audit with "Request Map Generator"
- [ ] **Remove unused app scripts** - uninstalling apps doesn't always remove their code
- [ ] **Disable features you don't use** - predictive search, quick-view modals, animations

### Landing Page Builder Apps

- [ ] **PageFly**: Enable "Lazy Load" in page settings. Disable animations on mobile.
- [ ] **GemPages**: Enable "Speed optimization" toggle. Use their image optimization.
- [ ] **Shogun**: Enable "Lazy loading" and "Code optimization" in page settings.

### Shopify-Specific Speed Tricks

1. **Use Shopify CDN for all images** - upload through Shopify admin, not external URLs
2. **Limit sections to 15 per page** - each section adds DOM weight
3. **Avoid video autoplay on mobile** - use poster image with play button instead
4. **Use native Shopify components** where possible - pre-optimized for their platform
5. **Use `{% layout none %}` for standalone presell pages** - bypasses the entire theme, eliminating unused CSS/JS from header, footer, and navigation. Include only `{{ content_for_header }}` for Shopify analytics. This alone can cut page weight by 40-60%.

---

## Cloudflare Pages Optimization

### Build-Level

- [ ] **Pre-render all pages** - static HTML, no server-side rendering delays
- [ ] **Enable Brotli compression** - 15-20% better than Gzip
- [ ] **Set cache headers** - `Cache-Control: public, max-age=31536000` for static assets
- [ ] **Use Cloudflare's image optimization** - automatic WebP, resizing, compression

### Cloudflare-Specific Features

1. **Enable Auto Minify** - HTML, CSS, JavaScript minification at the edge
2. **Enable Early Hints** - 103 status code preloads key assets
3. **Enable HTTP/2 and HTTP/3** - multiplexed connections, faster asset loading
4. **Use Cloudflare Workers** for dynamic elements - A/B test assignment, personalization
5. **Enable Rocket Loader** - defers JavaScript execution (test thoroughly before enabling)
6. **Set up Page Rules** - cache everything, edge TTL of 1 month for landing pages

### Build-Time Tracking (Cloudflare Presell Pages)

For presell pages deployed on Cloudflare, embed tracking at build time rather than injecting at runtime:

- [ ] **Embed GA4 snippet directly in HTML** - no GTM dependency for core tracking
- [ ] **Inline the gclid/gbraid/wbraid capture script** - passthrough parameters to product page CTAs
- [ ] **Pre-render all event listeners** - scroll, CTA click, section visibility events in static JS
- [ ] **No runtime injection** - everything needed is in the built HTML/CSS/JS files
- [ ] **Result**: Sub-100ms TTFB with full tracking operational on first paint

### Production Build Architecture (What Actually Ships)

Our production presell page builder outputs 3 files that get deployed to Cloudflare:

**1. index.html** - Single self-contained HTML file with:
- All CSS inlined in ` style ` tags (zero external stylesheet requests)
- All JavaScript inlined in ` script ` tags (zero external script requests)
- GA4 tracking code embedded at build time
- JSON-LD schema markup (FAQPage, Article, Product as appropriate)
- All images referenced via CDN URLs (lazy-loaded below the fold)
- Meta tags: charset, viewport, title, description, canonical, Open Graph, Twitter Card

**2. _headers** - Cloudflare security and cache headers:
```
Content-Security-Policy: default-src 'self' 'unsafe-inline' https:
X-Content-Type-Options: nosniff
X-Frame-Options: DENY
Referrer-Policy: strict-origin-when-cross-origin
Cache-Control: public, max-age=31536000 (static assets)
```

**3. _redirects** (optional) - For A/B variant routing

**Why this matters for speed**: Zero render-blocking requests. The browser receives one HTML file, parses it, and renders. No waterfall of CSS -  JS -  fonts -  tracking scripts. First Contentful Paint happens in under 500ms on mobile. Largest Contentful Paint under 1.5s. These numbers translate directly to lower bounce rates and higher Quality Scores.

### The `{% layout none %}` Speed Hack (Shopify)

For Shopify deployments, the single biggest speed win is `{% layout none %}` at the top of your Liquid template. This bypasses the entire theme - header, footer, navigation, and all their associated CSS/JS.

**Before** (standard Shopify page): 2-5MB page weight, 40-70 PageSpeed score
**After** (`{% layout none %}`): 0.5-1.5MB page weight, 70-90+ PageSpeed score

The 40-60% page weight reduction comes from eliminating:
- Theme CSS (often 200-400KB of styles you don't use)
- Navigation JavaScript (dropdown menus, search, cart drawer)
- App scripts (each installed app injects 1-3 scripts)
- Header/footer images and icons

Include only `{{ content_for_header }}` for Shopify analytics and checkout functionality. Everything else - your presell page CSS, JS, and tracking - ships as inlined code in the template.

### Speed Advantage: Cloudflare vs Shopify

| Metric | Shopify (typical) | Cloudflare Pages (optimized) |
|--------|-------------------|------------------------------|
| TTFB | 300-800ms | 30-100ms |
| LCP | 2.0-4.0s | 0.8-1.5s |
| Total page weight | 2-5MB | 0.5-1.5MB |
| PageSpeed Insights score | 40-70 | 90-100 |

---

## Testing Checklist

- [ ] **Run PageSpeed Insights** - test both mobile and desktop. Target 90+ on mobile.
- [ ] **Run WebPageTest** (webpagetest.org) - 3 runs from closest geographic location. Check filmstrip.
- [ ] **Test on real mobile device** - Chrome DevTools throttling is not a substitute for a real phone
- [ ] **Test on 3G connection** - "Slow 3G" in Chrome DevTools. Can visitors read the headline in 3 seconds?
- [ ] **Check Core Web Vitals in Search Console** - after 28 days of traffic, review field data
- [ ] **Monitor with Cloudflare Analytics** or Shopify speed report - weekly check for regressions

---

## Speed Impact on Google Ads

| Speed Metric | Impact on Quality Score | Impact on CPC |
|-------------|------------------------|---------------|
| LCP   2.5s | Positive (Landing Page Experience: Above Average) | -10-20% CPC |
| LCP 2.5-4.0s | Neutral (Average) | Baseline |
| LCP   4.0s | Negative (Below Average) | +20-40% CPC |

A 1-second improvement in LCP on a landing page with $10K/month spend can save $1,000-2,000/month in CPCs from Quality Score improvements alone.

---

**Last Updated**: 2026-02-22


# Phase 1 Foundation Audit Checklist

**Purpose**: Diagnose the foundation issues that prevent scaling. Complete this before ANY scaling attempt.

---

## Audit Overview

| Section | Items | Priority |
|---------|-------|----------|
| 1. Conversion Tracking | 10 | Critical |
| 2. Merchant Center Quality | 10 | Critical |
| 3. Customer Lists | 8 | High |
| 4. Campaign Segmentation | 10 | Critical |
| 5. Feed Health | 12 | High |
| **Total** | **50** | |

**Scoring**: Check each item. 40+/50 = Ready for Phase 2. Below 40 = Fix issues first.

---

## Section 1: Conversion Tracking (10 points)

### Single Fire Per Transaction

- [ ] **1.1** Purchase event fires exactly once per transaction
- [ ] **1.2** Refreshing confirmation page doesn't create duplicate conversions
- [ ] **1.3** Back button doesn't trigger additional conversion
- [ ] **1.4** Test purchase verified in Google Ads matches order count

**Test method**: Complete test purchase. Note Google Ads conversion count. Refresh page 3x. Check if count increased.

### Conversion Values

- [ ] **1.5** Conversion values match actual revenue (within 5%)
- [ ] **1.6** Shipping excluded from conversion value (or included consistently)
- [ ] **1.7** Taxes handled consistently
- [ ] **1.8** Currency matches account settings

**Test method**: Pull last 30 days revenue from Google Ads and OMS. Compare.

### Conversion Actions

- [ ] **1.9** Only ONE primary purchase conversion action
- [ ] **1.10** No duplicate conversion actions counting same event

**Check location**: Google Ads   Goals   Conversions   Primary

---

## Section 2: Merchant Center Quality (10 points)

### Store Quality Score

- [ ] **2.1** Store quality checked in Merchant Center
- [ ] **2.2** Shipping speed meets or exceeds category average
- [ ] **2.3** Shipping cost competitive
- [ ] **2.4** Return policy clearly displayed on website
- [ ] **2.5** Return window meets Google standards (30+ days recommended)

**Check location**: Merchant Center   Growth   Store quality

### Shopping Experience

- [ ] **2.6** Guest checkout available
- [ ] **2.7** Mobile checkout functional and fast
- [ ] **2.8** Page speed acceptable (under 3 seconds)
- [ ] **2.9** SSL certificate valid
- [ ] **2.10** Contact information accessible

**Check location**: Merchant Center   Growth   Shopping experience scorecard

---

## Section 3: Customer Lists (8 points)

### Data Upload

- [ ] **3.1** Customer list uploaded to Google Ads
- [ ] **3.2** List includes all purchasers (last 2 years minimum)
- [ ] **3.3** List match rate above 50%
- [ ] **3.4** List updated within last 30 days

**Check location**: Google Ads   Audience Manager   Customer lists

### Segmentation

- [ ] **3.5** High-value customers segmented (top 20% by LTV)
- [ ] **3.6** Email subscribers (non-purchasers) uploaded
- [ ] **3.7** Lists used as exclusions in prospecting campaigns
- [ ] **3.8** Lists used as audience signals in PMax

**Check location**: Campaign settings   Audience exclusions and signals

---

## Section 4: Campaign Segmentation (10 points)

### Branded vs Prospecting Split

- [ ] **4.1** Branded Search exists as separate campaign
- [ ] **4.2** Prospecting Search exists as separate campaign
- [ ] **4.3** Branded Shopping/PMax exists as separate campaign OR branded excluded
- [ ] **4.4** Prospecting Shopping/PMax exists as separate campaign

**Check location**: Campaign list - naming conventions should make this clear

### Negative Keywords

- [ ] **4.5** Brand name added as negative to all prospecting Search campaigns
- [ ] **4.6** Brand misspellings added as negatives
- [ ] **4.7** Brand abbreviations added as negatives
- [ ] **4.8** Branded campaigns have competitor names as negatives

**Check location**: Campaign   Negative keywords

### Reporting Clarity

- [ ] **4.9** Can clearly report branded vs prospecting performance separately
- [ ] **4.10** No cross-contamination in search terms reports

**Test**: Pull search terms for prospecting. Any brand terms appearing?

---

## Section 5: Feed Health (12 points)

### Required Attributes

- [ ] **5.1** All products have titles (no blanks)
- [ ] **5.2** All products have descriptions (no blanks)
- [ ] **5.3** All products have primary images (no placeholders)
- [ ] **5.4** All products have correct prices (matching landing pages)
- [ ] **5.5** All products have accurate availability status
- [ ] **5.6** All products have GTIN where applicable

**Check location**: Merchant Center   Products   Diagnostics

### Recommended Attributes

- [ ] **5.7** Color attribute populated (90%+ of applicable products)
- [ ] **5.8** Size attribute populated (90%+ of applicable products)
- [ ] **5.9** Gender attribute populated (90%+ of applicable products)
- [ ] **5.10** Material attribute populated (where relevant)

**Check location**: Merchant Center   Products   All products   Filter by attribute

### Title Quality

- [ ] **5.11** Titles include primary keywords (not just brand + SKU)
- [ ] **5.12** Titles front-load important terms (first 70 characters visible)

**Check method**: Export feed. Review title quality on top 50 products.

---

## Worked Example: DTC Skincare Brand ($45K/month, preparing to scale to $80K)

| Section | Score | Max | Key Failures |
|---------|-------|-----|-------------|
| Conversion Tracking | 7/10 | 10 | 1.1 FAIL (purchase fires twice on page refresh), 1.6 FAIL (shipping included inconsistently), 1.10 FAIL (old "Website Purchase" action still active as primary) |
| Merchant Center Quality | 8/10 | 10 | 2.3 FAIL (shipping $2 above category avg), 2.8 FAIL (page speed 4.2s on mobile) |
| Customer Lists | 5/8 | 8 | 3.3 FAIL (match rate 38%), 3.5 FAIL (no high-value segment), 3.7 FAIL (not used as exclusions) |
| Campaign Segmentation | 7/10 | 10 | 4.3 FAIL (branded Shopping mixed with prospecting), 4.6 FAIL (brand misspellings not negative'd), 4.10 FAIL (brand terms appearing in prospecting search terms) |
| Feed Health | 9/12 | 12 | 5.7 FAIL (color missing on 40% of products), 5.11 FAIL (titles are brand + product name only), 5.12 FAIL (important terms after char 70) |
| **Total** | **36/50** | **50** | **Status: Needs Work - Do NOT scale yet** |

**What this means**: This account is NOT ready to scale from $45K to $80K. At 36/50, scaling would amplify the existing waste. The double-firing conversion tag (item 1.1) means Smart Bidding is optimizing on inflated data. The mixed brand/prospecting Shopping (item 4.3) means prospecting ROAS looks better than reality.

### Issue Log for This Example

| Item # | Issue Found | Priority | Fix Required | Status |
|--------|-------------|----------|--------------|--------|
| 1.1 | Purchase fires twice on page refresh | Critical | Add session storage dedup check in GTM | Pending |
| 1.10 | Two primary purchase actions | Critical | Set old "Website Purchase" to secondary | Pending |
| 4.3 | Brand Shopping mixed with prospecting | Critical | Create separate Brand PMax or add brand exclusions | Pending |
| 3.3 | Customer list match rate 38% | High | Re-export with phone + address fields, not just email | Pending |
| 5.11 | Titles missing keywords | High | Restructure top 100 product titles | Pending |

**Fix sequence**:
1. Fix conversion tracking (items 1.1, 1.10) - MUST be first, Smart Bidding relies on this
2. Wait 2 weeks for algorithm to recalibrate on clean data
3. Split brand/prospecting Shopping (item 4.3)
4. Upload improved customer lists (item 3.3)
5. Fix feed titles (item 5.11)
6. Re-audit -  score should be 42+
7. Now proceed to Phase 2

---

## Your Turn: Scoring Summary

| Section | Score | Max |
|---------|-------|-----|
| Conversion Tracking | ___/10 | 10 |
| Merchant Center Quality | ___/10 | 10 |
| Customer Lists | ___/8 | 8 |
| Campaign Segmentation | ___/10 | 10 |
| Feed Health | ___/12 | 12 |
| **Total** | **___/50** | **50** |

---

## Interpretation Guide

| Score | Status | Action | Can You Scale? |
|-------|--------|--------|---------------|
| 45-50 | Excellent | Proceed to Phase 2 immediately | Yes |
| 40-44 | Good | Fix critical issues (1-2 weeks), then proceed | Yes, after fixes |
| 30-39 | Needs Work | Address all failures before scaling (2-4 weeks) | No - fix first |
| Below 30 | Foundation Broken | Major rebuild required (4-8 weeks) | Absolutely not |

**Benchmark**: Average score across scaling-ready accounts is 42/50. Accounts that scale successfully from $50K+ average 44/50.

---

## Your Issue Log

| Item # | Issue Found | Priority | Fix Required | Status |
|--------|-------------|----------|--------------|--------|
| | | | | |
| | | | | |
| | | | | |
| | | | | |
| | | | | |

---

## Export to Google Sheets

| Column | Header | Formula |
|--------|--------|---------|
| A | Section | (manual) |
| B | Item # | (manual) |
| C | Check Item | (manual) |
| D | Pass (1) / Fail (0) | (manual) |
| E | Notes | (manual) |

**Summary sheet**:
- Section score: `=SUMIF(A:A,"Conversion Tracking",D:D)`
- Total: `=SUM(section_scores)`
- Ready for Phase 2: `=IF(total =40,"YES - Proceed","NO - Fix issues first")`

---

## Next Steps

After completing audit:

1. **List all failed items** in Issue Log above
2. **Prioritize by section** (Conversion Tracking failures are most critical)
3. **Fix all Critical items** before any scaling
4. **Re-audit after fixes** to confirm resolution
5. **Proceed to Phase 2** when score reaches 40+

---

**Audit Date**: _______________
**Auditor**: _______________
**Score**: ___/50
**Ready for Phase 2**: ☐ YES ☐ NO

---

*From: The Google Ads Scaling Roadmap*
*F.S.S. Protocol: Foundation, Structure, Scale + Operate*


# Conversion Tracking Diagnostic Template

**Purpose**: Deep dive into conversion tracking issues. Use when Phase 1 audit reveals tracking problems.

---

## Worked Example: DTC Supplement Brand ($25K/month spend)

### Step 1: Identify Current Setup

**Example Conversion Actions Inventory**:

| Action Name | Type | Status | Primary | Count Method | Value |
|-------------|------|--------|---------|--------------|-------|
| Purchase | Website | Active | Yes | Every | Dynamic |
| Website Purchase | Website | Active | Yes | Every | Dynamic |
| GA4 Purchase | Imported (GA4) | Active | Yes | Every | Dynamic |
| Add to Cart | Website | Active | Secondary | Every | $0 |
| Newsletter Signup | Website | Active | Secondary | One | $0 |

**Red flags found in this example**:
- [x] **Multiple purchase conversion actions** - THREE purchase actions all set as Primary
- [x] **Duplicate naming** - "Purchase" and "Website Purchase" are likely the same event
- [ ] Old/legacy actions still active
- [x] **"All conversions" dramatically higher than "Conversions"** - 3x counting inflates ROAS

**Diagnosis**: This account reports 3x the actual conversions. Smart Bidding thinks ROAS is 3x higher than reality. When you fix this, your reported ROAS will drop by ~66%, but your actual performance hasn't changed - you're now seeing truth.

---

## Your Turn

### Step 1: Identify Current Setup

### Conversion Actions Inventory

Go to Google Ads   Goals   Conversions. Document ALL conversion actions:

| Action Name | Type | Status | Primary | Count Method | Value |
|-------------|------|--------|---------|--------------|-------|
| | | | | | |
| | | | | | |
| | | | | | |
| | | | | | |

**Red flags to look for:**
- [ ] Multiple purchase conversion actions
- [ ] Old/legacy actions still active
- [ ] "All conversions" dramatically higher than "Conversions"
- [ ] Duplicate naming (Purchase, Website Purchase, etc.)

### Tracking Method

Which method(s) are you using?

- [ ] Google Ads tag (gtag.js)
- [ ] Google Tag Manager
- [ ] Shopify native integration
- [ ] WooCommerce plugin
- [ ] Other CMS plugin: _______________
- [ ] Multiple methods (PROBLEM - likely duplicates)

---

## Step 2: Single Fire Test

### Test Protocol

1. Complete a test purchase on your website
2. Note the order number: _______________
3. Note the order total: $_______________
4. Wait 4 hours for data to propagate
5. Check Google Ads conversions

### Results

**Google Ads Conversion Count** (from the test period):
- Expected: 1
- Actual: _______________

**If actual   1**: You have duplicate tracking.

### Duplicate Detection

If duplicates found, identify source:

- [ ] Multiple conversion actions counting same event
- [ ] Page refresh triggering additional fires
- [ ] Back button triggering additional fires
- [ ] Multiple tracking codes on confirmation page
- [ ] Tag Manager firing multiple times

---

## Step 3: Value Accuracy Test

### Worked Example: 30-Day Revenue Comparison

| Source | Revenue |
|--------|---------|
| Google Ads (Conversion Value) | $87,420 |
| Shopify/OMS (Total Revenue) | $31,200 |
| **Difference** | $56,220 |
| **Variance %** | **180%** (Google Ads reports 2.8x actual) |

**Root cause**: Three primary conversion actions each counting the same purchase. $31,200 x 2.8 = $87,420. After fixing to single conversion action, Google Ads should report ~$31,200 (with minor timing differences of 2-5%).

---

### Your Turn: 30-Day Revenue Comparison

| Source | Revenue |
|--------|---------|
| Google Ads (Conversion Value) | $_____________ |
| Shopify/OMS (Total Revenue) | $_____________ |
| **Difference** | $_____________ |
| **Variance %** | _____________ % |

### Interpretation

| Variance | Status | Likely Cause |
|----------|--------|--------------|
| 0-5% | Acceptable | Minor timing differences |
| 5-15% | Concerning | Value calculation issues |
| 15-30% | Problem | Shipping/tax included incorrectly |
| 30%+ | Critical | Fundamental setup error |

### Value Calculation Checklist

- [ ] Conversion value = product subtotal (not order total)
- [ ] Shipping excluded from conversion value
- [ ] Taxes handled consistently
- [ ] Currency matches Google Ads account
- [ ] Discounts properly deducted
- [ ] Subscription orders handled correctly (if applicable)

---

## Step 4: Enhanced Conversions Check

### Status

- [ ] Enhanced conversions enabled
- [ ] Enhanced conversions for leads enabled (if applicable)
- [ ] Tag Assistant shows enhanced conversions firing

**Check location**: Google Ads   Goals   Conversions   [Action]   Enhanced conversions

### Verification

Use Google Tag Assistant to verify enhanced conversions are sending:
1. Install Tag Assistant extension
2. Navigate to your checkout
3. Complete test purchase
4. Check for enhanced conversion data in payload

**Data being sent:**
- [ ] Email (hashed)
- [ ] Phone (hashed)
- [ ] Name (hashed)
- [ ] Address (hashed)

---

## Step 5: Attribution Check

### Current Attribution Settings

**Attribution model**: _______________
(Options: Data-driven, Last click, First click, Linear, Time decay, Position-based)

**Click-through attribution window**: ___ days
**View-through attribution window**: ___ days (Demand Gen only)

### Recommended Settings

| Business Type | Click Window | Model |
|---------------|--------------|-------|
| Impulse purchase (low AOV) | 7 days | Data-driven |
| Considered purchase (mid AOV) | 14 days | Data-driven |
| High-ticket / long cycle | 30 days | Data-driven |

### Current vs Recommended

| Setting | Current | Recommended | Match? |
|---------|---------|-------------|--------|
| Attribution Model | | Data-driven | ☐ |
| Click Window | | ___ days | ☐ |

---

## Step 6: Fix Implementation

### Priority 1: Remove Duplicates

If multiple conversion actions exist:

1. Identify which action has correct data: _______________
2. Set other actions to "Secondary" (not Primary)
3. OR pause/delete other actions
4. Wait 48 hours and verify single counting

### Priority 2: Fix Value Calculation

If values are incorrect:

1. Identify the data layer variable for revenue: _______________
2. Verify it excludes shipping and tax
3. Update tag or plugin configuration
4. Test with new order
5. Confirm value matches order subtotal

### Priority 3: Fix Single Fire Issues

If page refresh causes duplicates:

1. Add conversion ID to session storage on first fire
2. Check session storage before firing
3. Only fire if ID not present
4. Clear on new session

**GTM example code:**
```javascript
 script 
  if (!sessionStorage.getItem('purchase_tracked_' + ORDER_ID)) {
    // Fire conversion tag
    sessionStorage.setItem('purchase_tracked_' + ORDER_ID, 'true');
  }
 /script 
```

### Priority 4: Enable Enhanced Conversions

If not enabled:

1. Go to conversion action settings
2. Enable enhanced conversions
3. Choose implementation method (GTM, gtag, or API)
4. Map data layer variables to enhanced conversion fields
5. Test in Tag Assistant

---

## Step 7: Verification

### Post-Fix Testing

After implementing fixes:

1. Complete new test purchase
2. Order number: _______________
3. Order total: $_______________
4. Wait 4 hours

### Verification Checklist

- [ ] Single conversion counted (not duplicates)
- [ ] Conversion value matches order subtotal
- [ ] Enhanced conversions firing
- [ ] Attribution window appropriate

---

## Issue Summary

| Issue | Found? | Fix Applied | Verified |
|-------|--------|-------------|----------|
| Duplicate conversion actions | ☐ | ☐ | ☐ |
| Page refresh duplicates | ☐ | ☐ | ☐ |
| Incorrect conversion values | ☐ | ☐ | ☐ |
| Enhanced conversions missing | ☐ | ☐ | ☐ |
| Wrong attribution window | ☐ | ☐ | ☐ |

---

**Diagnostic Date**: _______________
**Fixes Applied**: _______________
**Verification Complete**: ☐ YES ☐ NO

---

*From: The Google Ads Scaling Roadmap*
*F.S.S. Protocol: Foundation, Structure, Scale + Operate*


# tROAS Calculator Spreadsheet

**Purpose**: Calculate the optimal Target ROAS setting for your campaigns using the 20%-below rule.

---

## How to Use

This template helps you:
1. Calculate your true breakeven ROAS
2. Apply the 20%-below rule for optimal tROAS
3. Track performance against targets
4. Know when to adjust

---

## Step 1: Calculate Breakeven ROAS

### Your Product Economics

| Metric | Value | Notes |
|--------|-------|-------|
| Average Order Value (AOV) | $_______ | Last 90 days average |
| Cost of Goods Sold (COGS) % | _______% | Product cost / AOV |
| Gross Margin % | _______% | 100% - COGS% |
| Other Variable Costs % | _______% | Shipping, payment processing |
| Contribution Margin % | _______% | Gross Margin - Other Variable |

### Breakeven Calculation

**Formula**: Breakeven ROAS = 100% / Contribution Margin %

**Example**:
- AOV: $100
- COGS: 40%
- Gross Margin: 60%
- Other Variable: 10%
- Contribution Margin: 50%
- Breakeven ROAS: 100% / 50% = **2.0x**

**Your Breakeven ROAS**: _______x

---

## Step 2: Calculate Profitable ROAS Target

### Profit Margin Target

What net profit margin do you need after ads?

| Scenario | Net Margin Needed | Formula | ROAS |
|----------|-------------------|---------|------|
| Breakeven | 0% | 1 / Contribution % | ___x |
| Minimal Profit | 5% | 1 / (Contribution - 5)% | ___x |
| Healthy Profit | 10% | 1 / (Contribution - 10)% | ___x |
| Strong Profit | 15% | 1 / (Contribution - 15)% | ___x |

**Example** (50% contribution margin):
- Breakeven: 1 / 0.50 = 2.0x
- 5% profit: 1 / 0.45 = 2.2x
- 10% profit: 1 / 0.40 = 2.5x
- 15% profit: 1 / 0.35 = 2.9x

**Your Profitable ROAS Target** (choose one): _______x

---

## Step 3: Apply the 20%-Below Rule

### Why 20% Below?

When you set tROAS at exactly your profitable target:
- Algorithm gets too conservative
- It avoids any auction where it's not 100% confident
- Volume chokes
- You miss profitable opportunities

Setting 20% below gives the algorithm room to explore while still hitting your target on average.

### Calculation

**Your Profitable Target**: _______x

**tROAS Setting** = Profitable Target × 0.80

**Your tROAS Setting**: _______x

**Example**:
- Profitable target: 4.0x
- tROAS setting: 4.0 × 0.80 = **3.2x**

---

## Step 4: Campaign Settings Table

Use this table to track tROAS settings across campaigns:

| Campaign | Type | Profitable Target | tROAS Setting (20% below) | Current Actual | Status |
|----------|------|-------------------|---------------------------|----------------|--------|
| Branded Search | Branded | Manual CPC | Manual CPC | _____x | N/A |
| Prospecting Search | Prospecting | _____x | _____x | _____x | |
| Prospecting PMax | Prospecting | _____x | _____x | _____x | |
| Branded Shopping | Branded | _____x | _____x | _____x | |
| Competitor Search | Prospecting | _____x | _____x | _____x | |
| Demand Gen | Prospecting | _____x | _____x | _____x | |

---

## Step 5: Adjustment Rules

### When to Increase tROAS

If actual ROAS is consistently **above target** for 30+ days:

| Current Performance | Adjustment |
|--------------------|------------|
| Actual 10-20% above target | Increase tROAS by 5% |
| Actual 20-40% above target | Increase tROAS by 10% |
| Actual 40%+ above target | Increase tROAS by 15% |

**Warning**: Increasing too aggressively will choke volume. Gradual increases only.

### When to Decrease tROAS

If volume is choking or learning period extends:

| Signal | Adjustment |
|--------|------------|
| Volume dropped 30%+ | Decrease tROAS by 10% |
| "Learning" status stuck | Decrease tROAS by 10% |
| Impression share dropping | Decrease tROAS by 5% |

### When to Hold

Keep current tROAS if:
- Actual within 20% of target
- Volume is stable
- Still in 30-day evaluation window

---

## Step 6: Performance Tracking

### Weekly ROAS Log

| Week | Campaign | tROAS Setting | Actual ROAS | Volume Trend | Action |
|------|----------|---------------|-------------|--------------|--------|
| 1 | | | | | |
| 2 | | | | | |
| 3 | | | | | |
| 4 | | | | | |

### Monthly Review

| Month | Avg Actual ROAS | Avg Target | Variance | Volume Change | tROAS Adjusted? |
|-------|-----------------|------------|----------|---------------|-----------------|
| | | | | | |
| | | | | | |
| | | | | | |

---

## Quick Reference: Common Scenarios

### Scenario A: E-commerce Standard
- AOV: $80
- COGS: 40%
- Contribution: 45%
- Breakeven: 2.2x
- Profitable (10%): 2.9x
- **tROAS Setting: 2.3x**

### Scenario B: Premium Products
- AOV: $200
- COGS: 30%
- Contribution: 55%
- Breakeven: 1.8x
- Profitable (15%): 2.5x
- **tROAS Setting: 2.0x**

### Scenario C: Low Margin/High Volume
- AOV: $40
- COGS: 60%
- Contribution: 30%
- Breakeven: 3.3x
- Profitable (5%): 4.0x
- **tROAS Setting: 3.2x**

### Scenario D: Subscription (First Order)
- First Order AOV: $50
- COGS: 30%
- LTV (12 mo): $250
- Contribution (on LTV): 60%
- Breakeven (on LTV): 1.7x
- Profitable: 2.0x
- **tROAS Setting: 1.6x** (can run lower due to LTV)

---

## Summary Worksheet

| Metric | Your Value |
|--------|------------|
| AOV | $ |
| COGS % | % |
| Contribution Margin % | % |
| Breakeven ROAS | x |
| Profitable ROAS (your target) | x |
| **tROAS Setting (20% below)** | **x** |

---

---

## Worked Example

**Business**: DTC skincare brand selling anti-aging serums and moisturizers. 45 SKUs. Monthly Google Ads spend: $24K across 6 campaigns. Current blended ROAS: 3.8x. Owner suspects some campaigns are over-constrained (volume choking) while others are under-constrained (leaving profit on the table).

### Step 1: Product Economics

| Metric | Value | Calculation |
|--------|-------|-------------|
| Average Order Value (AOV) | $72 | Last 90 days, all channels |
| Cost of Goods Sold (COGS) | 32% | $23.04 per order (product + packaging) |
| Gross Margin | 68% | 100% - 32% = 68% |
| Shipping cost | 6% | $4.32 avg (free shipping offered over $50) |
| Payment processing | 3% | Stripe: 2.9% + $0.30 ≈ 3% at $72 AOV |
| Returns   chargebacks | 4% | 8% return rate × 50% restocking loss |
| Other Variable Costs | 13% | 6% + 3% + 4% |
| **Contribution Margin** | **55%** | 68% - 13% = 55% |

**Breakeven ROAS**: 100% / 55% = **1.82x**

At 1.82x ROAS, every dollar of ad spend generates exactly enough revenue to cover product costs, shipping, payment processing, and returns. Zero profit, zero loss.

### Step 2: Profitable ROAS Targets

The owner wants 12% net profit margin after ad spend.

| Scenario | Net Margin | Formula | ROAS Target |
|----------|-----------|---------|-------------|
| Breakeven | 0% | 1 / 0.55 | 1.82x |
| Minimal (5%) | 5% | 1 / 0.50 | 2.00x |
| Moderate (8%) | 8% | 1 / 0.47 | 2.13x |
| **Target (12%)** | **12%** | **1 / 0.43** | **2.33x** |
| Strong (15%) | 15% | 1 / 0.40 | 2.50x |
| Aggressive (20%) | 20% | 1 / 0.35 | 2.86x |

**Profitable ROAS Target: 2.33x** - at this ROAS, every $1 of ad spend generates $2.33 in revenue, leaving $0.12 in net profit per revenue dollar after all costs.

**Proof check**: $2.33 revenue × 55% contribution margin = $1.28. Subtract $1.00 ad cost = $0.28 profit. $0.28 / $2.33 = 12.0% net margin. Confirmed.

### Step 3: Apply the 20%-Below Rule

**Profitable target**: 2.33x
**tROAS setting**: 2.33 × 0.80 = **1.86x**

Why this works: Setting tROAS at 1.86x tells Google "I'm willing to accept 1.86x ROAS." The algorithm then optimizes to BEAT that target. In practice, actual ROAS typically lands 15-25% above the tROAS setting - which puts real performance right around the 2.33x profitable target.

If you set tROAS at exactly 2.33x, the algorithm becomes too selective. It only bids on auctions where it's highly confident of 2.33x+ return, which eliminates hundreds of profitable-but-uncertain auctions. Volume drops 30-50%.

### Step 4: Campaign Settings (Completed)

| Campaign | Type | Monthly Spend | Conv/30d | Profitable Target | tROAS Setting | Current Actual | Status |
|----------|------|--------------|----------|-------------------|---------------|----------------|--------|
| Branded Search | Branded | $2,800 | 380 | Manual CPC | Manual CPC | 12.4x | Healthy - keep manual |
| Anti-Aging Search | Prospecting | $5,200 | 68 | 2.33x | **1.86x** | 3.1x | Over-constrained at 2.8x |
| Moisturizer Shopping | Prospecting | $4,100 | 54 | 2.33x | **1.86x** | 2.9x | Over-constrained at 2.5x |
| PMax - All Products | Prospecting | $6,500 | 92 | 2.33x | **1.86x** | 2.4x | Near target |
| Demand Gen - Retargeting | Prospecting | $3,400 | 41 | 2.33x | 1.86x (pending) | 1.9x | Below target - not ready for tROAS |
| Competitor Search | Prospecting | $2,000 | 12 | 2.33x | N/A | 1.6x | Too few conversions - stay Max Clicks |

**Key findings**:
- Anti-Aging Search and Moisturizer Shopping are over-constrained. Their current tROAS settings (2.8x and 2.5x) are ABOVE the profitable target, choking volume. Lowering to 1.86x will open up more auctions.
- Demand Gen has 41 conversions/month - close to the 50 threshold but not there yet. Stay on Maximize Conversion Value for now.
- Competitor Search has only 12 conversions/month. Stay on Maximize Clicks with a $2.40 bid cap.

### Step 5: Adjustment Plan

**Anti-Aging Search** (currently at tROAS 2.8x, actual 3.1x):
- Current tROAS: 2.8x (set too aggressively at launch)
- New tROAS: 1.86x
- This is a 34% decrease - expect a learning period of 10-14 days
- Don't change to 1.86x in one jump. Step down: 2.8x -  2.3x (wait 2 weeks) -  1.86x
- Expected result: volume increases 40-60%, actual ROAS drops to ~2.3-2.5x range, total profit increases

**Moisturizer Shopping** (currently at tROAS 2.5x, actual 2.9x):
- Current tROAS: 2.5x
- New tROAS: 1.86x
- Smaller adjustment (26% decrease). Can move in one step.
- Expected: volume up 20-30%, ROAS settles around 2.2-2.4x

**PMax** (currently at tROAS 2.0x, actual 2.4x):
- Current tROAS: 2.0x
- Actual is 20% above target for 30+ days
- Adjustment: increase tROAS by 5% to 2.1x
- This tightens slightly while staying below the profitable 2.33x target
- Don't increase further until 30 more days of data

### Step 6: 4-Week Performance Log

| Week | Campaign | tROAS | Actual ROAS | Spend | Revenue | Conv | Action |
|------|----------|-------|-------------|-------|---------|------|--------|
| 1 | Anti-Aging Search | 2.3x (step 1) | 2.7x | $5,200 | $14,040 | 64 | Learning period, hold |
| 2 | Anti-Aging Search | 2.3x | 2.5x | $5,400 | $13,500 | 66 | Stabilizing, hold |
| 3 | Anti-Aging Search | 1.86x (step 2) | 2.1x | $5,800 | $12,180 | 72 | Learning period, hold |
| 4 | Anti-Aging Search | 1.86x | 2.4x | $6,200 | $14,880 | 82 | Stabilized - volume up 21% |

**Result**: After 4 weeks, Anti-Aging Search went from 68 conversions at 3.1x ROAS to 82 conversions at 2.4x ROAS.

**Profit comparison**:
- Before: $5,200 spend × 3.1x = $16,120 revenue × 55% margin = $8,866 - $5,200 ad cost = **$3,666 profit**
- After: $6,200 spend × 2.4x = $14,880 revenue × 55% margin = $8,184 - $6,200 ad cost = **$1,984 profit**

Wait - profit actually DECREASED. Why? The actual ROAS at 2.4x is above the profitable target (2.33x), but the volume increase didn't fully compensate for the ROAS drop at this point in the optimization curve. The algorithm needs 1-2 more months to find the optimal bid distribution. At week 8, typical trajectory shows 2.3x ROAS at $7,000 spend = $16,100 revenue = **$2,855 profit** with significantly more customer acquisition for long-term LTV value.

This is the trade-off in real scaling: short-term profit per dollar decreases, but total customer acquisition and revenue ceiling increases.

### Monthly Review (After 90 Days)

| Campaign | Old tROAS | New tROAS | Old ROAS | New ROAS | Old Spend | New Spend | Old Profit | New Profit |
|----------|-----------|-----------|----------|----------|-----------|-----------|------------|------------|
| Anti-Aging Search | 2.8x | 1.86x | 3.1x | 2.4x | $5,200 | $7,200 | $3,666 | $3,024 |
| Moisturizer Shopping | 2.5x | 1.86x | 2.9x | 2.3x | $4,100 | $5,800 | $2,386 | $1,898 |
| PMax | 2.0x | 2.1x | 2.4x | 2.5x | $6,500 | $6,300 | $1,930 | $2,173 |
| **Totals** | | | **2.8x** | **2.4x** | **$15,800** | **$19,300** | **$7,982** | **$7,095** |

**Total revenue increased 22%** ($44,240 to $46,320). **Profit decreased 11%** ($7,982 to $7,095) in the short term. But: 38% more new customers acquired. At a 30% 12-month repeat rate, these incremental customers generate an additional $18,400 in LTV revenue over the next year.

The tROAS calculator is a profitability tool first, but scaling decisions require factoring LTV. The 20%-below rule optimizes for the sweet spot between per-order profit and customer acquisition volume.

---

## Your Turn

Walk through all 6 steps with your actual numbers.

**Step 1 checklist**:
- [ ] Use 90-day AOV (not a single day or week)
- [ ] Include ALL variable costs: COGS, shipping, payment processing, returns
- [ ] Don't include fixed costs (rent, salaries, software) - those aren't variable per order

**Step 3 reality check**: Your tROAS setting should feel uncomfortably low compared to your current actual ROAS. If it doesn't, you're either already under-constrained (spending efficiently but missing volume) or your margins are thinner than you think. Revisit Step 1.

**Step 4 tip**: Not every campaign gets the same tROAS. Branded campaigns stay on Manual CPC. Campaigns with fewer than 50 conversions/month aren't ready for tROAS yet. Fill in only the campaigns that qualify.

---

## Interpretation Guide

| Pattern | What It Means | Action |
|---------|--------------|--------|
| Breakeven ROAS is above 3.0x | Very tight margins - COGS or variable costs are high | Consider raising AOV (bundles, upsells) before scaling ads |
| Breakeven ROAS is below 2.0x | Healthy margins - significant room to scale aggressively | Set tROAS conservatively and prioritize volume over ROAS |
| tROAS setting is close to breakeven | Thin profit margin target - algorithm has little room for error | Widen the gap by either improving margins or accepting lower net profit |
| Actual ROAS is 2x+ above tROAS | Campaign is severely over-constrained - leaving huge volume on the table | Lower tROAS in 10-15% steps every 2 weeks until volume responds |
| Actual ROAS is below tROAS for 30+ days | Algorithm can't achieve the target with current setup | Check: landing page CVR, audience quality, product-market fit, or lower tROAS |
| Volume dropped 30%+ after tROAS change | New target is too aggressive OR learning period is still active | If within 14 days, wait. If beyond 14 days, decrease tROAS by 10% |
| Different campaigns need wildly different tROAS | Normal - each campaign type has different intent quality | Keep separate settings. Never average tROAS across campaign types |

*This calculator accompanies Module 6 (Bidding and Budget Progression) of The Google Ads Scaling Roadmap.*

---

*From: The Google Ads Scaling Roadmap*
*F.S.S. Protocol: Foundation, Structure, Scale + Operate*


# Bidding Progression Decision Tree

**Purpose**: Know exactly which bidding strategy to use and when to change it.

---

## Quick Reference Flowchart

```
START
  │
  ▼
Is this a BRANDED campaign?
  │
  ├─ YES ──▶ Use MANUAL CPC ──▶ STAY on Manual CPC
  │
  └─ NO (Prospecting)
      │
      ▼
    How many conversions in last 30 days?
      │
      ├─   15 ──▶ Use MAXIMIZE CLICKS + bid cap
      │              └─▶ Wait until 50+ conversions
      │
      ├─ 15-49 ──▶ Use MAXIMIZE CONVERSIONS (no target)
      │              └─▶ Wait until 50+ conversions
      │
      └─ 50+ ──▶ Use TARGET ROAS (20% below profitable)
                  │
                  ▼
                Is actual ROAS hitting target?
                  │
                  ├─ YES (for 30+ days) ──▶ Increase tROAS by 5-10%
                  │
                  ├─ BELOW target ──▶ Hold or decrease by 5%
                  │
                  └─ Volume choking ──▶ Decrease tROAS by 10%
```

---

## Decision Tree: New Campaign Launch

### Question 1: Is this a branded campaign?

**YES - Branded Campaign**
→ Use: **Manual CPC**
→ Why: Branded traffic is predictable. You know your target CPA. No benefit from automation.
→ Set bid at: Target CPA × Expected Conversion Rate
→ Example: $15 CPA target × 12% CVR = $1.80 CPC

**NO - Prospecting Campaign**
→ Go to Question 2

---

### Question 2: Is this a Shopping/PMax campaign or Search campaign?

**Shopping/PMax**
→ Use: **Maximize Conversion Value** (no target initially)
→ Why: Needs to gather product-level data first
→ Progression: Add tROAS after 50 conversions in 30 days

**Search**
→ Go to Question 3

---

### Question 3: How much search volume and budget?

**Low volume ( 500 clicks/month expected)**
→ Use: **Maximize Clicks** with bid cap
→ Bid cap: 1.5x industry benchmark CPC
→ Why: Not enough volume for conversion optimization
→ Goal: Gather data, build keyword learnings

**Medium volume (500-2000 clicks/month)**
→ Use: **Maximize Clicks** with bid cap initially
→ Move to: Maximize Conversions after 30 conversions
→ Move to: tROAS after 50 conversions

**High volume (2000+ clicks/month)**
→ Use: **Maximize Conversions** (no target initially)
→ Move to: tROAS after 50 conversions

---

## Decision Tree: Existing Campaign Optimization

### Question 1: How many conversions in last 30 days?

**  15 conversions**
→ Stay on: Maximize Clicks or Maximize Conversions
→ Focus: Improve landing page, expand keywords, increase budget
→ Don't: Switch to tROAS yet

**15-49 conversions**
→ Use: Maximize Conversions (no CPA target)
→ Optional: Add loose CPA target (2x your goal)
→ Focus: Building to 50+ threshold

**50+ conversions**
→ Use: Target ROAS (20% below profitable)
→ See tROAS Optimization below

---

### Question 2: Current bidding strategy performance (for tROAS campaigns)

**Actual ROAS is 20%+ above target for 30+ days**
→ Action: Increase tROAS by 5-10%
→ Why: You have room to tighten
→ Watch: Volume in next 2 weeks

**Actual ROAS is within 20% of target**
→ Action: Hold current tROAS
→ Why: Performing as expected
→ Watch: Continue monitoring weekly

**Actual ROAS is below target**
→ First: Check if in learning period (wait)
→ If stable: Consider decreasing tROAS by 5%
→ Alternative: Improve landing page, audience signals

**Volume has dropped significantly**
→ Action: Decrease tROAS by 10%
→ Why: Target is too aggressive
→ Watch: Volume recovery in 1-2 weeks

---

## Campaign Type Reference

| Campaign Type | Starting Strategy | Progression | Final Strategy |
|---------------|-------------------|-------------|----------------|
| Branded Search | Manual CPC | None | Manual CPC |
| Branded Shopping | tROAS or Manual | None | tROAS |
| Prospecting Search (new) | Max Clicks + cap | After 50 conv | tROAS |
| Prospecting Search (mature) | tROAS | Ongoing optimization | tROAS |
| PMax (new) | Max Conv Value | After 50 conv | tROAS |
| PMax (mature) | tROAS | Ongoing optimization | tROAS |
| Demand Gen | Max Conv Value | After 50 conv | tROAS |
| Competitor Search | Max Clicks + cap | After 50 conv | tROAS |

---

## Threshold Reference

| Threshold | Value | Action Triggered |
|-----------|-------|------------------|
| Move to automated bidding | 15+ conv/30 days | Switch from Max Clicks to Max Conv |
| Move to tROAS | 50+ conv/30 days | Add ROAS target |
| tROAS setting | 20% below profitable | Initial target |
| Increase tROAS | 30+ days above target | Tighten by 5-10% |
| Decrease tROAS | Volume choking | Loosen by 10% |
| Break out campaign | 50+ conv/30 days per segment | Separate campaigns |

---

## Learning Period Rules

### What triggers learning period?
- New campaign launch
- Bidding strategy change
- tROAS target change of 20%+
- Budget change of 30%+
- Major ad/keyword changes

### How long is learning?
- Typical: 7-14 days
- Can extend up to 4 weeks if low volume

### What to do during learning?
- Don't make additional changes
- Don't judge performance yet
- Let the algorithm stabilize

### When learning extends too long?
- If stuck in "Learning" for 4+ weeks
- Action: Loosen target (decrease tROAS by 10%)
- Alternative: Increase budget to accelerate learning

---

## Common Mistakes to Avoid

### Mistake 1: tROAS too early
**Problem**: Switching to tROAS before 50 conversions
**Result**: Algorithm doesn't have enough data, makes poor decisions
**Fix**: Stay on Maximize Clicks/Conversions until threshold hit

### Mistake 2: tROAS too aggressive
**Problem**: Setting tROAS at exactly your breakeven
**Result**: Algorithm gets too conservative, volume chokes
**Fix**: Set 20% below your profitable target

### Mistake 3: Changing too frequently
**Problem**: Adjusting bidding every few days
**Result**: Constant learning periods, no optimization
**Fix**: Wait 30 days between changes

### Mistake 4: Using same strategy for branded
**Problem**: Automated bidding on branded campaigns
**Result**: Overpaying for traffic that would convert anyway
**Fix**: Keep branded on Manual CPC

### Mistake 5: Ignoring volume signals
**Problem**: Keeping high tROAS when volume is dying
**Result**: Shrinking campaign with no recovery
**Fix**: Lower tROAS when volume drops 30%+

---

## Quick Decision Checklist

Before changing bidding strategy, confirm:

- [ ] Current strategy has been stable for 30+ days
- [ ] Not currently in learning period
- [ ] Clear reason for change (not just impatience)
- [ ] Conversion threshold met for new strategy
- [ ] tROAS calculated using 20%-below rule

---

---

## Worked Example

**Business**: DTC home fitness equipment brand. 28 SKUs (resistance bands, kettlebells, yoga mats, pull-up bars). Monthly Google Ads budget: $20K. Launching a new account structure after migrating from an agency. Contribution margin: 48%. Profitable ROAS target: 2.5x. tROAS setting (20% below): 2.0x.

### Scenario: Building 5 Campaigns from Scratch

The brand needs to set up and choose bidding strategies for 5 campaigns on day 1, then optimize over 90 days.

### Campaign 1: Branded Search ("FitForge" brand terms)

**Decision tree walkthrough**:

Q1: Is this a branded campaign? **YES**

**Decision**: Manual CPC

**Rationale**: FitForge branded searches ("fitforge kettlebells", "fitforge resistance bands") convert at 14% with a $12 CPA. This traffic is predictable. Automated bidding would overpay for clicks that convert regardless.

**Setup**:
- Target CPA: $12
- Expected CVR: 14%
- Manual CPC bid: $12 × 14% = **$1.68**
- Monthly budget: $2,500 (branded is cost-efficient, deserves its own budget)

**Will this strategy ever change?** No. Branded stays on Manual CPC permanently. The only adjustment is the bid amount itself, which you update quarterly based on actual CPA and CVR trends.

### Campaign 2: Prospecting Search - "Home Gym Equipment"

**Decision tree walkthrough**:

Q1: Is this branded? **NO** - Prospecting

Q2: Shopping/PMax or Search? **Search**

Q3: How much volume?
- Keyword planner shows 8,400 monthly searches for the cluster
- At 5% CTR estimate: ~420 clicks/month expected
- **Low volume ( 500 clicks/month)**

**Decision**: Maximize Clicks with bid cap

**Setup**:
- Industry benchmark CPC for "home gym equipment": $1.80
- Bid cap: $1.80 × 1.5 = **$2.70**
- Monthly budget: $3,000
- Goal: gather conversion data for 60+ days before evaluating next step

**Progression plan**:

| Milestone | Conversions/30d | Action |
|-----------|----------------|--------|
| Month 1 | 8 (projected at 2% CVR) | Hold - Max Clicks, gather data |
| Month 2 | 14 | Hold - approaching 15 threshold |
| Month 3 | 22 (CVR improving with LP optimizations) | Switch to Maximize Conversions (no target) |
| Month 4+ | 35+ | Building toward 50 threshold for tROAS |

**Why not start with Maximize Conversions?** At 8 conversions/month, Google's algorithm doesn't have enough signal to optimize for conversions. It would either overbid wildly (spending entire budget on 3-4 expensive clicks) or underbid (barely spending anything). Maximize Clicks with a bid cap is the safe exploration strategy.

### Campaign 3: PMax - All Products

**Decision tree walkthrough**:

Q1: Is this branded? **NO** - Prospecting

Q2: Shopping/PMax or Search? **PMax**

**Decision**: Maximize Conversion Value (no target)

**Setup**:
- Monthly budget: $7,000 (largest campaign - PMax needs budget to learn across product groups)
- No tROAS target initially
- 3 asset groups: Resistance Training, Yoga   Recovery, Strength Equipment
- Expected: 60-80 conversions/month at $20K total account spend

**Progression plan**:

| Milestone | Conversions/30d | Action |
|-----------|----------------|--------|
| Weeks 1-2 | Learning period | Don't touch. Expect erratic performance. |
| Week 3-4 | 35-45 | Stabilizing. Hold on Max Conv Value. |
| Month 2 | 62 | **Add tROAS at 2.0x** (50+ threshold met) |
| Month 3+ | 70+ | Monitor and adjust per Step 5 adjustment rules |

**Critical mistake to avoid**: Don't add tROAS in month 1 even if you see 50+ conversions. PMax needs at least 6 weeks of unrestricted learning to map product-level performance across placements. The 50-conversion rule applies after the initial learning stabilization.

### Campaign 4: Demand Gen - Retargeting

**Decision tree walkthrough**:

Q1: Is this branded? **NO** - Prospecting (retargeting warm audiences)

Q2: Shopping/PMax or Search? **Neither - Demand Gen**

**Decision**: Maximize Conversion Value (no target)

**Setup**:
- Monthly budget: $4,000
- Audiences: site visitors (30 days), cart abandoners, YouTube viewers
- Expected volume: 25-35 conversions/month initially

**Progression plan**:

| Milestone | Conversions/30d | Action |
|-----------|----------------|--------|
| Month 1 | 28 | Hold - below 50 threshold |
| Month 2 | 38 | Hold - getting closer but not there |
| Month 3 | 52 | **Add tROAS at 2.0x** |

**Nuance for Demand Gen**: Retargeting campaigns often have higher ROAS than prospecting (3.5-5.0x is common) because the audience is warmer. You might be tempted to set a higher tROAS. Don't. Use the same 2.0x setting. The algorithm will naturally over-deliver on retargeting audiences. If you set tROAS at 4.0x for Demand Gen, it becomes too selective and misses mid-funnel users who convert within 7-14 days.

### Campaign 5: Competitor Search ("Bowflex alternatives", "Peloton vs")

**Decision tree walkthrough**:

Q1: Is this branded? **NO** - Prospecting (competitor conquest)

Q2: Shopping/PMax or Search? **Search**

Q3: How much volume?
- Competitor terms are typically low volume and expensive
- Estimated: 300-400 clicks/month at $3.50+ CPC
- **Low volume ( 500 clicks/month)**

**Decision**: Maximize Clicks with bid cap

**Setup**:
- Industry benchmark CPC for competitor terms: $3.50
- Bid cap: $3.50 × 1.5 = **$5.25**
- Monthly budget: $3,500
- Expected conversions: 6-10/month (competitor traffic converts poorly - 2-3% CVR typical)

**Progression plan**: This campaign may NEVER reach tROAS threshold. Competitor search campaigns often stay on Maximize Clicks permanently because:
1. Volume is inherently limited (finite competitor brand searches)
2. Conversion rate is low (1-3%)
3. 50 conversions/month would require $15K+ budget on competitor terms alone

**The realistic path**: Stay on Maximize Clicks. Judge this campaign on assisted conversions and brand awareness contribution, not direct ROAS. If it reaches 30+ conversions/month, move to Maximize Conversions. tROAS is unlikely.

### Full Account Summary - Day 1

| Campaign | Budget | Bidding Strategy | Target/Cap | Conv Threshold Met? |
|----------|--------|-----------------|------------|---------------------|
| Branded Search | $2,500 | Manual CPC | $1.68 CPC | N/A - stays manual |
| Home Gym Search | $3,000 | Max Clicks | $2.70 cap | No (0 conv) |
| PMax - All Products | $7,000 | Max Conv Value | No target | No (0 conv) |
| Demand Gen - Retarget | $4,000 | Max Conv Value | No target | No (0 conv) |
| Competitor Search | $3,500 | Max Clicks | $5.25 cap | No (0 conv) |
| **Total** | **$20,000** | | | |

### Full Account Summary - Day 90

| Campaign | Budget | Bidding Strategy | tROAS | Actual ROAS | Conv/30d | Change from Day 1 |
|----------|--------|-----------------|-------|-------------|----------|-------------------|
| Branded Search | $2,500 | Manual CPC | N/A | 11.2x | 290 | No change |
| Home Gym Search | $3,000 | Max Conversions | N/A | 2.1x | 22 | Upgraded from Max Clicks (month 3) |
| PMax - All Products | $8,000 | tROAS | 2.0x | 2.6x | 78 | Upgraded from Max Conv Value (month 2) |
| Demand Gen - Retarget | $4,500 | tROAS | 2.0x | 3.8x | 54 | Upgraded from Max Conv Value (month 3) |
| Competitor Search | $3,000 | Max Clicks | $5.25 cap | 1.4x | 8 | No change - too few conversions |
| **Total** | **$21,000** | | | **3.2x blended** | **452** | 2 campaigns on tROAS, 1 progressing |

**90-day result**: The account went from 0 campaigns on tROAS to 2, with a clear path for the third (Home Gym Search needs ~28 more conversions/month to qualify). Blended ROAS of 3.2x against a 2.5x profitable target = healthy margin while scaling.

---

## Your Turn

List your campaigns and walk each one through the decision tree.

**For each campaign, answer these 3 questions**:
1. Branded or prospecting?
2. What campaign type? (Search, Shopping, PMax, Demand Gen)
3. How many conversions in the last 30 days?

The answers determine your bidding strategy automatically. If you're unsure about a campaign, default to the more conservative option (Max Clicks over Max Conversions, Max Conversions over tROAS).

**Common situation**: You're migrating from an agency that had everything on tROAS with only 15 conversions/month per campaign. The right move is to step DOWN to Maximize Conversions or even Maximize Clicks, let the algorithm re-learn, then step back up to tROAS once the 50-conversion threshold is met. This feels backwards but prevents the "zombie campaign" problem where the algorithm is stuck optimizing with insufficient data.

---

## Interpretation Guide

| Situation | What It Means | Action |
|-----------|--------------|--------|
| Campaign on Max Clicks is spending budget but getting 0 conversions | Clicks are landing but not converting - likely a landing page or offer problem, not a bidding problem | Fix landing page first. Don't change bidding strategy to fix a conversion problem. |
| Campaign on Max Conversions is spending erratically (feast-or-famine days) | Algorithm is still learning, trying different bid levels | Normal in first 2-3 weeks. If persists after 4 weeks, check: is budget too low? Are there enough keywords? |
| Campaign on tROAS went to "Learning" after a small target change | Any tROAS change of 20%+ triggers learning. Smaller changes (5-10%) usually don't. | Wait 7-14 days. If you need to make a large tROAS change, do it in 10% steps with 2-week gaps. |
| Competitor campaign conversion rate is below 1.5% | Normal for competitor conquest terms. Users searching competitor brands have high intent but for the wrong brand. | Evaluate this campaign on assisted conversions and brand search lift, not direct ROAS. Cap spend. |
| All campaigns hit tROAS threshold in month 1 | You're spending enough per campaign for fast learning - good position | Add tROAS to each campaign as it hits 50 conversions, staggered by 2 weeks to avoid account-wide learning disruption |
| Campaign has 50+ conversions but ROAS is below breakeven | The campaign has enough data for tROAS but the economics don't work yet | Don't add tROAS to a campaign that's unprofitable on Max Conversions. Fix the campaign (LP, keywords, audiences) first. |
| Volume drops 40%+ after adding tROAS | Target is too aggressive for the campaign's conversion dynamics | Lower tROAS by 15%. If volume doesn't recover in 2 weeks, go back to Max Conversions for 30 days and retry with a looser target. |

*This decision tree accompanies Module 6 (Bidding and Budget Progression) of The Google Ads Scaling Roadmap.*

---

*From: The Google Ads Scaling Roadmap*
*F.S.S. Protocol: Foundation, Structure, Scale + Operate*


# Template 5: Feed Segmentation Scoring Worksheet

## Purpose

Score how well each product fits each potential segment to determine which products should appear in which campaigns. Products that score high get included; products that score low get skipped. This prevents wasting ad spend on poor product-segment matches.

## Instructions

1. List your products in the rows (start with your top 20 by revenue)
2. List your target segments in the columns (start with 5 key segments)
3. Score each product-segment combination using the three scoring components below
4. Calculate the final compatibility score using the weighted formula
5. Assign products to segments based on the threshold guidance

## Scoring Components

### A. Attribute Match (40% of total score)

Rate each sub-component 0-100:

| Sub-Component | Weight | What You're Scoring |
|--------------|--------|-------------------|
| Product type match | 30% | Does this product type fit the segment? (e.g., "ballet flat" fits "wedding flats") |
| Features match | 30% | Does this product have features the segment cares about? (e.g., "cushioned" fits "comfortable shoes") |
| Materials match | 20% | Do the materials align with segment expectations? (e.g., "Italian leather" fits "luxury footwear") |
| Use cases match | 15% | Does the product fit how segment buyers will use it? (e.g., "formal events" fits "wedding shoes") |
| Color/aesthetic | 5% | Visual fit for the segment? (e.g., "white" fits "bridal") |

**Attribute Match Score** = (Product Type x 0.30) + (Features x 0.30) + (Materials x 0.20) + (Use Cases x 0.15) + (Color x 0.05)

### B. Keyword Potential (35% of total score)

Rate each sub-component 0-100:

| Sub-Component | Weight | What You're Scoring |
|--------------|--------|-------------------|
| Primary keyword fit | 50% | Can this product naturally use the segment's main keyword in its title? |
| Cluster keyword fit | 30% | How many of the segment's 20-50 keywords can this product use naturally? (Calculate: keywords usable / total keywords x 100) |
| Semantic relevance | 20% | Are the segment's keywords truly relevant to this product, or would they feel forced? |

**Keyword Potential Score** = (Primary Fit x 0.50) + (Cluster Fit x 0.30) + (Semantic Relevance x 0.20)

### C. Feature Alignment (25% of total score)

Rate each sub-component 0-100:

| Sub-Component | Weight | What You're Scoring |
|--------------|--------|-------------------|
| USP alignment | 60% | Do the product's unique selling points match what this segment's buyers want? |
| Competition fit | 40% | Can this product compete on price and positioning in this segment? |

**Feature Alignment Score** = (USP Alignment x 0.60) + (Competition Fit x 0.40)

### Final Compatibility Score

```
Compatibility = (Attribute Match x 0.40) + (Keyword Potential x 0.35) + (Feature Alignment x 0.25)
```

## Worked Example: 5 Products Scored Across 5 Segments

**Products:**
1. White Italian Leather Ballet Flat with Aloe Cushion ($380)
2. Black Suede Stiletto Pump with Crystal Heel ($450)
3. Nude Patent Leather Kitten Heel ($280)
4. Gold Metallic Strappy Sandal ($320)
5. Ivory Satin Mule with Pearl Detail ($340)

**Segments:**
- S1: "Comfortable Wedding Flats"
- S2: "Luxury Evening Heels"
- S3: "Bridal Shoes White"
- S4: "Party Shoes Metallic"
- S5: "Designer Low Heels"

### Scoring Matrix

**Product 1: White Italian Leather Ballet Flat ($380)**

| Component | S1: Wedding Flats | S2: Evening Heels | S3: Bridal White | S4: Party Metallic | S5: Low Heels |
|-----------|------------------|-------------------|-----------------|-------------------|--------------|
| Attribute Match | 97 | 25 | 88 | 15 | 72 |
| Keyword Potential | 94 | 20 | 82 | 10 | 65 |
| Feature Alignment | 93 | 30 | 85 | 12 | 70 |
| **Final Score** | **95** | **24** | **85** | **12** | **69** |
| **Decision** | INCLUDE | SKIP | INCLUDE | SKIP | CONDITIONAL |

**Product 2: Black Suede Stiletto Pump ($450)**

| Component | S1: Wedding Flats | S2: Evening Heels | S3: Bridal White | S4: Party Metallic | S5: Low Heels |
|-----------|------------------|-------------------|-----------------|-------------------|--------------|
| Attribute Match | 10 | 92 | 15 | 45 | 30 |
| Keyword Potential | 8 | 90 | 12 | 40 | 25 |
| Feature Alignment | 15 | 88 | 10 | 50 | 35 |
| **Final Score** | **10** | **90** | **13** | **44** | **29** |
| **Decision** | SKIP | INCLUDE | SKIP | SKIP | SKIP |

**Product 3: Nude Patent Leather Kitten Heel ($280)**

| Component | S1: Wedding Flats | S2: Evening Heels | S3: Bridal White | S4: Party Metallic | S5: Low Heels |
|-----------|------------------|-------------------|-----------------|-------------------|--------------|
| Attribute Match | 20 | 65 | 35 | 30 | 90 |
| Keyword Potential | 15 | 60 | 30 | 25 | 88 |
| Feature Alignment | 25 | 70 | 40 | 35 | 85 |
| **Final Score** | **19** | **64** | **34** | **29** | **88** |
| **Decision** | SKIP | CONDITIONAL | SKIP | SKIP | INCLUDE |

**Product 4: Gold Metallic Strappy Sandal ($320)**

| Component | S1: Wedding Flats | S2: Evening Heels | S3: Bridal White | S4: Party Metallic | S5: Low Heels |
|-----------|------------------|-------------------|-----------------|-------------------|--------------|
| Attribute Match | 15 | 70 | 20 | 95 | 25 |
| Keyword Potential | 10 | 65 | 15 | 92 | 20 |
| Feature Alignment | 20 | 72 | 25 | 90 | 30 |
| **Final Score** | **14** | **68** | **19** | **93** | **24** |
| **Decision** | SKIP | CONDITIONAL | SKIP | INCLUDE | SKIP |

**Product 5: Ivory Satin Mule with Pearl Detail ($340)**

| Component | S1: Wedding Flats | S2: Evening Heels | S3: Bridal White | S4: Party Metallic | S5: Low Heels |
|-----------|------------------|-------------------|-----------------|-------------------|--------------|
| Attribute Match | 55 | 60 | 82 | 40 | 68 |
| Keyword Potential | 50 | 55 | 78 | 35 | 62 |
| Feature Alignment | 60 | 65 | 80 | 45 | 70 |
| **Final Score** | **54** | **59** | **80** | **39** | **66** |
| **Decision** | SKIP | SKIP | INCLUDE | SKIP | CONDITIONAL |

### Assignment Summary

| Product | Segments Assigned | Coverage |
|---------|------------------|----------|
| Product 1 (Ballet Flat) | S1, S3, S5 (conditional) | 2-3 segments |
| Product 2 (Stiletto) | S2 | 1 segment |
| Product 3 (Kitten Heel) | S5, S2 (conditional) | 1-2 segments |
| Product 4 (Sandal) | S4, S2 (conditional) | 1-2 segments |
| Product 5 (Mule) | S3, S5 (conditional) | 1-2 segments |

Coverage multiplier: 8 listings / 5 products = 1.6x (with conditional inclusions: up to 12/5 = 2.4x)

## Your Turn: Blank Scoring Template

### Product: _____________________ (Price: $_______)

| Component | Segment 1: _____ | Segment 2: _____ | Segment 3: _____ | Segment 4: _____ | Segment 5: _____ |
|-----------|-----------------|-----------------|-----------------|-----------------|-----------------|
| **Attribute Match** | | | | | |
| - Product type (30%) | ___/100 | ___/100 | ___/100 | ___/100 | ___/100 |
| - Features (30%) | ___/100 | ___/100 | ___/100 | ___/100 | ___/100 |
| - Materials (20%) | ___/100 | ___/100 | ___/100 | ___/100 | ___/100 |
| - Use cases (15%) | ___/100 | ___/100 | ___/100 | ___/100 | ___/100 |
| - Color (5%) | ___/100 | ___/100 | ___/100 | ___/100 | ___/100 |
| **Attribute Total** | ___/100 | ___/100 | ___/100 | ___/100 | ___/100 |
| **Keyword Potential** | | | | | |
| - Primary fit (50%) | ___/100 | ___/100 | ___/100 | ___/100 | ___/100 |
| - Cluster fit (30%) | ___/100 | ___/100 | ___/100 | ___/100 | ___/100 |
| - Semantic rel. (20%) | ___/100 | ___/100 | ___/100 | ___/100 | ___/100 |
| **Keyword Total** | ___/100 | ___/100 | ___/100 | ___/100 | ___/100 |
| **Feature Alignment** | | | | | |
| - USP alignment (60%) | ___/100 | ___/100 | ___/100 | ___/100 | ___/100 |
| - Competition fit (40%) | ___/100 | ___/100 | ___/100 | ___/100 | ___/100 |
| **Feature Total** | ___/100 | ___/100 | ___/100 | ___/100 | ___/100 |
| **FINAL SCORE** | ___/100 | ___/100 | ___/100 | ___/100 | ___/100 |
| **Decision** | ___________ | ___________ | ___________ | ___________ | ___________ |

(Copy this table for each product in your catalog)

## Interpretation Guide

| Score Range | Decision | What It Means |
|------------|----------|--------------|
| 80-100 | INCLUDE | Strong match. Product belongs in this segment. Create a segment-specific title. |
| 60-79 | CONDITIONAL | Decent match. Include if the segment needs more products to reach 10+ listings. Skip if segment is already well-populated. |
| Below 60 | SKIP | Poor match. Including this product in this segment wastes impressions and degrades segment quality. |

**Target coverage multiplier**: 4-8x for catalogs of 50-200 products. If your coverage multiplier is below 3x, you likely have segments that are too narrow. If above 10x, some products are being forced into segments where they don't belong.

## Export Instructions

Once scoring is complete:
1. Create a separate product feed CSV for each segment
2. For each product-segment combination marked INCLUDE, create a segment-specific title using the zone architecture from Module 4
3. Each product should have a completely different Zone 1 in each segment
4. Upload segment feeds as separate feeds in Google Merchant Center
5. Create separate campaigns targeting each feed

---

*From: The Google Ads Scaling Roadmap*
*F.S.S. Protocol: Foundation, Structure, Scale + Operate*


# Template 6: Per-Product Keyword Map

## Purpose

Generate 100-150 targeted keywords per product by systematically combining strategic angles with keyword types. This template turns one product into a comprehensive keyword strategy that covers every way a customer might search for it.

## Instructions

1. Select one product to map
2. Identify 10-15 strategic angles for that product (different reasons someone might search for it)
3. For each angle, generate keywords across all 7 types
4. Score each keyword using the priority formula
5. Classify keywords into HIGH / LOW / METADATA tiers
6. Export high-priority keywords for campaign creation

## The Angle x Keyword Type Matrix

### Rows: Strategic Angles (10-15 per product)

An angle is a specific way a buyer thinks about your product. List the top angles for your product:

| # | Angle Name | Core Search Intent | Example Primary Keyword |
|---|-----------|-------------------|----------------------|
| 1 | ___________ | ___________________ | ___________________ |
| 2 | ___________ | ___________________ | ___________________ |
| 3 | ___________ | ___________________ | ___________________ |
| 4 | ___________ | ___________________ | ___________________ |
| 5 | ___________ | ___________________ | ___________________ |
| 6 | ___________ | ___________________ | ___________________ |
| 7 | ___________ | ___________________ | ___________________ |
| 8 | ___________ | ___________________ | ___________________ |
| 9 | ___________ | ___________________ | ___________________ |
| 10 | ___________ | ___________________ | ___________________ |

### Columns: 7 Keyword Types

| Type | Description | Example Pattern |
|------|-------------|----------------|
| High-volume | Broad terms, 1,000+ monthly searches | "[angle] [product category]" |
| Question | Informational queries (best, how, what, top) | "best [product] for [angle]" |
| Long-tail | Transactional, 4+ words, specific | "[specific feature] [product] for [use case]" |
| Competitor | Brand names, alternatives, "vs" | "[competitor] vs [your product]", "[competitor] alternative" |
| Seasonal | Time-sensitive and trending | "[product] [season/year]", "[event] [product]" |
| Product-specific | Models, specs, formulations | "[brand] [model] [spec]" |
| Demographic | For [audience] terms | "[product] for [demographic]" |

## Priority Scoring Formula

For each keyword, calculate a priority score:

```
Priority Score = Search Volume x Relevance Score (1-5) x Competition Score (1-5, inverted)
```

**Relevance Score (1-5):**
- 5 = Directly describes your product
- 4 = Closely related to your product
- 3 = Somewhat related
- 2 = Loosely related
- 1 = Tangentially related

**Competition Score (1-5, inverted - higher = LESS competition = better):**
- 5 = Very low competition (CPC   $1)
- 4 = Low competition (CPC $1-3)
- 3 = Moderate competition (CPC $3-5)
- 2 = High competition (CPC $5-10)
- 1 = Very high competition (CPC $10+)

**Example scoring:**
- "collagen for skin health" - Volume: 8,100, Relevance: 5, Competition: 3 = 8,100 x 5 x 3 = 121,500
- "best supplement for wrinkles" - Volume: 2,400, Relevance: 4, Competition: 4 = 2,400 x 4 x 4 = 38,400
- "collagen peptides type I III" - Volume: 880, Relevance: 5, Competition: 5 = 880 x 5 x 5 = 22,000

### Keyword Classification Tiers

After scoring, classify each keyword:

| Tier | Monthly Search Volume | Placement | Usage |
|------|----------------------|-----------|-------|
| HIGH-SEARCH | 500+ /month | Title (Zone 1-2) + Description | Front-load in titles, feature in descriptions |
| LOW-SEARCH | 100-500 /month | Description only | 1-2 natural mentions in description text |
| METADATA-ONLY | Under 100 /month | Structured attributes only | Never in title or description. Use for size, condition, age_group fields |

## Worked Example: Collagen Supplement

**Product**: Marine Collagen Peptides Powder, 30 servings, unflavored, $39.99

### 3 Angles Mapped (showing format for all 7 keyword types each)

---

**Angle 1: Anti-Aging / Skin Health**

| Keyword Type | Keywords | Volume | Relevance | Competition | Priority |
|-------------|---------|--------|-----------|-------------|----------|
| **High-volume** | collagen for skin | 8,100 | 5 | 3 | 121,500 |
| | anti aging collagen | 3,600 | 5 | 3 | 54,000 |
| | collagen for wrinkles | 2,900 | 5 | 4 | 58,000 |
| **Question** | does collagen help wrinkles | 1,900 | 4 | 4 | 30,400 |
| | best collagen for aging skin | 1,300 | 5 | 4 | 26,000 |
| | how long for collagen to work skin | 880 | 3 | 5 | 13,200 |
| **Long-tail** | marine collagen peptides for skin elasticity | 480 | 5 | 5 | 12,000 |
| | hydrolyzed collagen powder for wrinkles over 40 | 320 | 5 | 5 | 8,000 |
| **Competitor** | vital proteins vs marine collagen | 720 | 4 | 4 | 11,520 |
| | great lakes collagen alternative | 390 | 4 | 5 | 7,800 |
| **Seasonal** | anti aging supplements 2026 | 1,100 | 3 | 4 | 13,200 |
| | summer skin prep collagen | 590 | 4 | 5 | 11,800 |
| **Product-specific** | type I marine collagen 30 servings | 210 | 5 | 5 | 5,250 |
| | unflavored collagen peptides powder | 880 | 5 | 4 | 17,600 |
| **Demographic** | collagen for women over 50 | 2,400 | 4 | 4 | 38,400 |
| | anti aging collagen for men | 590 | 4 | 5 | 11,800 |

Angle 1 total: 16 keywords

---

**Angle 2: Joint Health**

| Keyword Type | Keywords | Volume | Relevance | Competition | Priority |
|-------------|---------|--------|-----------|-------------|----------|
| **High-volume** | collagen for joints | 6,600 | 5 | 3 | 99,000 |
| | joint supplement collagen | 3,200 | 4 | 3 | 38,400 |
| **Question** | does collagen help joint pain | 2,100 | 4 | 4 | 33,600 |
| | best collagen for knees | 890 | 5 | 5 | 22,250 |
| **Long-tail** | marine collagen for joint stiffness morning | 190 | 5 | 5 | 4,750 |
| | hydrolyzed collagen peptides joint recovery | 280 | 5 | 5 | 7,000 |
| **Competitor** | move free vs collagen supplements | 440 | 3 | 5 | 6,600 |
| **Seasonal** | winter joint pain collagen | 320 | 4 | 5 | 6,400 |
| **Product-specific** | collagen type II for joints | 1,600 | 3 | 4 | 19,200 |
| **Demographic** | collagen for runners joints | 720 | 4 | 5 | 14,400 |
| | collagen for seniors joint health | 480 | 4 | 5 | 9,600 |

Angle 2 total: 11 keywords

---

**Angle 3: Hair Growth**

| Keyword Type | Keywords | Volume | Relevance | Competition | Priority |
|-------------|---------|--------|-----------|-------------|----------|
| **High-volume** | collagen for hair growth | 5,400 | 4 | 3 | 64,800 |
| | collagen for thinning hair | 2,900 | 4 | 4 | 46,400 |
| **Question** | does collagen help hair grow | 1,600 | 4 | 4 | 25,600 |
| | how much collagen for hair growth | 720 | 3 | 5 | 10,800 |
| **Long-tail** | marine collagen peptides hair regrowth women | 160 | 5 | 5 | 4,000 |
| **Competitor** | nutrafol vs collagen for hair | 590 | 3 | 4 | 7,080 |
| **Seasonal** | postpartum hair loss collagen | 480 | 4 | 5 | 9,600 |
| **Product-specific** | hydrolyzed collagen powder for hair | 380 | 5 | 5 | 9,500 |
| **Demographic** | collagen for women hair loss over 40 | 390 | 4 | 5 | 7,800 |

Angle 3 total: 9 keywords

---

**Running total across 3 angles: 36 keywords**

At this rate, 10-15 angles would yield 120-180 keywords (after deduplication: 100-150 unique keywords).

### Classification Summary

| Tier | Count | Action |
|------|-------|--------|
| HIGH-SEARCH (500+/mo) | 18 | Place in product title (Zone 1-2) and description |
| LOW-SEARCH (100-500/mo) | 12 | Mention in description only (1-2 times each) |
| METADATA-ONLY ( 100/mo) | 6 | Structured attributes only, never in copy |

## Your Turn: Blank Keyword Map

**Product**: _____________________ (Price: $_______)

**Angle**: _____________________ (Core intent: ___________________)

| Keyword Type | Keyword | Volume | Relevance (1-5) | Competition (1-5 inv.) | Priority Score | Tier |
|-------------|---------|--------|-----------------|----------------------|---------------|------|
| High-volume | | | | | | |
| High-volume | | | | | | |
| Question | | | | | | |
| Question | | | | | | |
| Long-tail | | | | | | |
| Long-tail | | | | | | |
| Competitor | | | | | | |
| Seasonal | | | | | | |
| Product-specific | | | | | | |
| Demographic | | | | | | |

(Copy this table for each of your 10-15 angles)

## Interpretation Guide

**After completing the full map:**

1. **Sort all keywords by Priority Score** (highest to lowest)
2. **Top 30 keywords** (highest priority) = your title keywords. Distribute across segment titles using Zone 1 architecture.
3. **Keywords 31-80** = description keywords. Weave naturally into product descriptions.
4. **Keywords 81-150** = long-tail coverage. Use in structured data or save for search campaign keywords.

**Red flags:**
- If an angle produces fewer than 5 keywords total, the angle is too narrow. Combine it with a related angle.
- If more than 50% of keywords are HIGH-SEARCH, your angles are too broad. Add more specific angles.
- If more than 50% are METADATA-ONLY, you're targeting terms nobody searches. Rethink your angle list.

## Export to Google Ads Editor Format

For search campaigns, export your keyword map as a CSV with these columns:

```
Campaign,Ad Group,Keyword,Match Type,Max CPC
Collagen - Anti Aging,High Volume,collagen for skin,Phrase,$3.50
Collagen - Anti Aging,High Volume,anti aging collagen,Phrase,$3.00
Collagen - Anti Aging,Question,does collagen help wrinkles,Phrase,$2.50
Collagen - Anti Aging,Long Tail,[marine collagen peptides for skin elasticity],Exact,$2.00
```

**Match type mapping:**
- HIGH-SEARCH keywords: Phrase match (primary) + Exact match (for top 10 converters)
- LOW-SEARCH keywords: Phrase match only
- METADATA-ONLY keywords: Do not add to search campaigns

Import this CSV directly into Google Ads Editor for bulk keyword upload.

---

*From: The Google Ads Scaling Roadmap*
*F.S.S. Protocol: Foundation, Structure, Scale + Operate*


# Template 7: Pre-Sell Campaign Builder

## Purpose

Plan, build, and launch pre-sell page campaigns with the right page type, traffic temperature, PMax campaign structure, and asset requirements. This template walks you from "I need more top-of-funnel traffic" to "campaign is live and tracking."

## Instructions

1. Select your page type using the decision tree
2. Assign a traffic temperature
3. Build your PMax campaign structure
4. Complete the asset checklist
5. Set budget and bidding targets
6. Launch with the deployment timeline

## Step 1: Page Type Selection Decision Tree

Answer these questions in order:

```
Q1: Is your target audience aware of the problem your product solves?
  |
  |-- NO --  GUIDE or EDITORIAL (Cold traffic)
  |          Q1a: Do you have 5+ competitors to compare against?
  |            |-- YES --  EDITORIAL
  |            |-- NO --  GUIDE
  |
  |-- YES --  Continue to Q2
  |
Q2: Is your target audience actively comparing solutions?
  |
  |-- YES --  Q2a: Are they comparing specific brands?
  |             |-- YES --  COMPARISON (Hot traffic)
  |             |-- NO --  LISTICLE (Warm traffic)
  |
  |-- NO --  Continue to Q3
  |
Q3: Does your target audience know your brand?
  |
  |-- NO --  ADVERTORIAL (Warm traffic)
  |
  |-- YES --  Q3a: Are they ready to buy?
                |-- YES --  COMPARISON or DIRECT LANDER (Hot traffic)
                |-- NO --  ADVERTORIAL (Warm traffic)
```

**Page Type Quick Reference:**

| Page Type | Temperature | Word Count | Products Featured | CTA Count | Best For |
|-----------|------------|------------|------------------|-----------|----------|
| Editorial | Cold | 2,500-4,000 | 10-15 (including competitors) | 3-5 (soft) | Building authority, SEO, remarketing pools |
| Guide | Cold | 3,000-5,000 | 5-8 | 3-5 (soft) | Comprehensive education, SEO |
| Advertorial | Warm | 2,000-3,000 | 2-3 | 3-4 (medium) | Story-driven persuasion |
| Listicle | Warm-Hot | 2,000-3,000 | 7-12 | 4-6 (medium-direct) | Category browsing, comparison |
| Comparison | Hot | 2,000-2,500 | 2-4 | 3-5 (direct) | Brand vs brand decisions |

## Step 2: Temperature Assignment

Record your page details:

| Field | Your Page |
|-------|-----------|
| Page title | _________________ |
| Page type | _________________ |
| Traffic temperature | COLD / WARM / HOT |
| Target URL | _________________ |
| Primary keyword | _________________ |
| Monthly search volume | _________________ |
| Estimated CPC | _________________ |

### Temperature-Specific Requirements

**COLD Pages:**
- Content ratio: 80% education / 20% product
- First CTA: Below the fold (after education section)
- CTA frequency: Every 1,500 words
- Max CTAs: 3
- CTA style: Soft ("Learn More", "Get the Guide", "Discover How")

**WARM Pages:**
- Content ratio: 50% education / 50% product
- First CTA: After the comparison/proof section
- CTA frequency: Every 800 words
- Max CTAs: 5
- CTA style: Medium ("Compare Options", "See Recommendations", "Find Your Match")

**HOT Pages:**
- Content ratio: 20% education / 80% product
- First CTA: Above the fold
- CTA frequency: Every 500 words
- Max CTAs: 7
- CTA style: Direct ("Shop Now", "Add to Cart", "Get [X]% Off Today")

## Step 3: PMax Campaign Setup

### Campaign Naming Convention

```
TOF PMax - [Market] - [Page Type Plural] ([Count])
```
Examples:
- TOF PMax - US-en - Editorials (3)
- TOF PMax - US-en - Advertorials (2)
- TOF PMax - US-en - Comparisons (4)

### Campaign Configuration

| Setting | COLD Pages | WARM Pages | HOT Pages |
|---------|-----------|-----------|-----------|
| Campaign type | Performance Max | Performance Max | Performance Max |
| tROAS target | 120-150% (1.2-1.5x) | 150-250% (1.5-2.5x) | 250-400% (2.5-4x) |
| Daily budget (start) | $50-100 | $75-150 | $100-200 |
| Customer match lists | OFF (cold only) | OFF or minimal | ON (include remarketing) |
| Remarketing | OFF | Optional | ON |
| Brand negatives | ON (exact match) | ON (exact match) | ON (exact match) |

### Asset Group Structure (One per page)

Each pre-sell page gets its own asset group within the campaign:

| Asset Type | Count Required | Max Length | Notes |
|-----------|---------------|------------|-------|
| Headlines | Exactly 15 | 30 characters | Match the page's editorial tone, not salesy |
| Long Headlines | Exactly 5 | 90 characters | Descriptive, informative |
| Descriptions | Exactly 5 | 90 characters | Value proposition, not hard sell |
| Search Themes | 10-30 | 80 characters | Informational keywords matching page content |
| Images | 3-10 | 1200x628 (landscape), 960x960 (square) | Lifestyle preferred over product shots |

## Step 4: Asset Checklist

### Headlines (15 required, 30 chars max each)

Write headlines that match the page's editorial tone. For cold traffic, avoid salesy language.

| # | Headline | Chars | Type |
|---|---------|-------|------|
| 1 | | ___/30 | Informational |
| 2 | | ___/30 | Informational |
| 3 | | ___/30 | Informational |
| 4 | | ___/30 | Comparison |
| 5 | | ___/30 | Comparison |
| 6 | | ___/30 | Trust/Authority |
| 7 | | ___/30 | Trust/Authority |
| 8 | | ___/30 | Benefit |
| 9 | | ___/30 | Benefit |
| 10 | | ___/30 | Question hook |
| 11 | | ___/30 | Question hook |
| 12 | | ___/30 | Category/Guide |
| 13 | | ___/30 | Category/Guide |
| 14 | | ___/30 | Results-focused |
| 15 | | ___/30 | Results-focused |

### Long Headlines (5 required, 90 chars max each)

| # | Long Headline | Chars |
|---|--------------|-------|
| 1 | | ___/90 |
| 2 | | ___/90 |
| 3 | | ___/90 |
| 4 | | ___/90 |
| 5 | | ___/90 |

### Descriptions (5 required, 90 chars max each)

| # | Description | Chars |
|---|------------|-------|
| 1 | | ___/90 |
| 2 | | ___/90 |
| 3 | | ___/90 |
| 4 | | ___/90 |
| 5 | | ___/90 |

### Search Themes (10-30)

List informational keywords that match your page content:

| # | Search Theme | Chars | Monthly Volume |
|---|-------------|-------|---------------|
| 1 | | ___/80 | |
| 2 | | ___/80 | |
| 3 | | ___/80 | |
| 4 | | ___/80 | |
| 5 | | ___/80 | |
| 6 | | ___/80 | |
| 7 | | ___/80 | |
| 8 | | ___/80 | |
| 9 | | ___/80 | |
| 10 | | ___/80 | |

(Add up to 30 total)

## Worked Example: 3 Pages Across 2 Temperature Zones

### Page 1: "Complete Guide to Collagen Supplements" (COLD - Editorial)

**Campaign**: TOF PMax - US-en - Editorials (1)
**tROAS**: 130% (1.3x)
**Daily Budget**: $75

**Headlines (sample 5 of 15):**
1. 2026 Collagen Guide (19 chars)
2. 12 Collagens Compared (21 chars)
3. Which Collagen Works? (21 chars)
4. Honest Collagen Reviews (23 chars)
5. Expert Collagen Picks (21 chars)

**Long Headlines (all 5):**
1. We tested 12 collagen supplements over 8 weeks. See what actually worked. (72 chars)
2. Side-by-side collagen comparison. Honest pros, cons, and picks for every budget. (81 chars)
3. Our testing team ranked 12 collagens on absorption, taste, and value. (69 chars)
4. No sponsored picks. Independent collagen reviews updated for 2026. (66 chars)
5. From budget to premium: which collagen supplements deliver real results? (72 chars)

**Search Themes (sample 10):**
1. best collagen supplements 2026
2. collagen supplement comparison
3. which collagen is best
4. collagen peptides review
5. marine vs bovine collagen
6. how to choose collagen supplement
7. collagen powder vs capsules
8. does collagen actually work
9. best collagen for skin and hair
10. collagen supplement buying guide

---

### Page 2: "We Tested 8 Anti-Aging Supplements" (WARM - Advertorial)

**Campaign**: TOF PMax - US-en - Advertorials (1)
**tROAS**: 200% (2.0x)
**Daily Budget**: $100

**Headlines (sample 5 of 15):**
1. Anti-Aging Supplements Tested (29 chars)
2. 8 Supplements Ranked (20 chars)
3. What Actually Works? (20 chars)
4. Dermatologist Picks (19 chars)
5. See Our Top 3 Results (21 chars)

---

### Page 3: "[Your Brand] vs Vital Proteins" (HOT - Comparison)

**Campaign**: TOF PMax - US-en - Comparisons (1)
**tROAS**: 300% (3.0x)
**Daily Budget**: $100

**Headlines (sample 5 of 15):**
1. Honest Collagen Comparison (26 chars)
2. Side-by-Side Results (20 chars)
3. Which Collagen Wins? (20 chars)
4. See the Difference (18 chars)
5. Compare Before You Buy (22 chars)

---

### Budget Summary

| Campaign | Page Type | Daily Budget | Monthly Budget | Expected CPC | Expected Clicks/Mo |
|----------|----------|-------------|---------------|-------------|-------------------|
| Editorials | Cold | $75 | $2,250 | $0.50-0.80 | 2,800-4,500 |
| Advertorials | Warm | $100 | $3,000 | $0.80-1.50 | 2,000-3,750 |
| Comparisons | Hot | $100 | $3,000 | $1.00-2.00 | 1,500-3,000 |
| **Total** | | **$275** | **$8,250** | **$0.77 blended** | **6,300-11,250** |

## Interpretation Guide

### Evaluating Performance (After 30 Days)

| Metric | COLD Expectation | WARM Expectation | HOT Expectation |
|--------|-----------------|-----------------|-----------------|
| CPC | $0.30-1.00 | $0.80-2.00 | $1.00-3.00 |
| Direct CVR | 0.5-1.5% | 2-5% | 4-10% |
| Remarketing pool added | 2,000+/month | 1,000+/month | 500+/month |
| View-through conversions | Measured at 30 days | Measured at 14 days | Measured at 7 days |
| Blended ROAS (incl. remarketing) | 1.5-3x | 2-5x | 3-8x |

### When to Scale vs Iterate

**Scale (increase budget 20% per week) if:**
- Direct ROAS meets or exceeds tROAS target after 30 days
- Remarketing pool growing at expected rate
- Branded search volume showing lift (check 2-4 weeks after launch)

**Iterate (change page content or targeting) if:**
- CPC significantly above expected range (poor keyword targeting)
- Bounce rate above 70% (page quality issue)
- Direct CVR below minimum threshold for temperature zone

**Pause and reassess if:**
- Direct ROAS below 0.5x after 45 days
- Remarketing pool not growing (pixel issue?)
- No branded search lift after 60 days

## Deployment Timeline

| Day | Action |
|-----|--------|
| Day 1 | Complete page type selection and temperature assignment |
| Day 2-5 | Write page content matching temperature requirements |
| Day 6-7 | Build page (HTML/CMS), install tracking pixels, test |
| Day 8 | Complete all 15 headlines, 5 long headlines, 5 descriptions |
| Day 9 | Create PMax campaign (paused), add asset group |
| Day 10 | Add search themes and audience signals |
| Day 11 | Final review - verify all assets meet character limits |
| Day 12 | Enable campaign. Monitor for first 48 hours. |
| Day 14 | First check: impressions, clicks, CPC. Adjust if needed. |
| Day 30 | Full evaluation against temperature-specific benchmarks |
| Day 44+ | Second page addition (wait 14 days between page additions) |

---

*From: The Google Ads Scaling Roadmap*
*F.S.S. Protocol: Foundation, Structure, Scale + Operate*


# Template 8: Brand Report Dashboard

## Purpose

Build a unified weekly performance report that shows how your entire Google Ads system performs together. Individual campaign ROAS is misleading at scale - this dashboard shows the blended truth.

## Instructions

1. Set up one Google Sheet (or spreadsheet tool of choice) with 7 section tabs plus a Summary tab
2. Pull data weekly (every Monday)
3. Calculate WoW changes to flag metrics needing attention
4. Use the blended row to track overall business impact

## 7-Section Template

### Section 1: Shopping Performance

Pull from: Standard Shopping campaigns + Feed-Only PMax campaigns

| Metric | This Week | Last Week | WoW Change | Flag? |
|--------|-----------|-----------|------------|-------|
| Impressions | | | ___% | |
| Clicks | | | ___% | |
| CTR | | | ___% | |
| Avg CPC | | | ___% | |
| Cost | | | ___% | |
| Conversions | | | ___% | |
| Revenue | | | ___% | |
| ROAS | | | ___% | |
| Impression Share | | | ___% | |
| Top SKU #1 (name + revenue) | | | | |
| Top SKU #2 (name + revenue) | | | | |
| Top SKU #3 (name + revenue) | | | | |
| Bottom SKU #1 (name + ROAS) | | | | |
| Bottom SKU #2 (name + ROAS) | | | | |
| Bottom SKU #3 (name + ROAS) | | | | |

### Section 2: Search Performance

Pull from: Branded Search + Prospecting Search campaigns

| Metric | Branded | Prospecting | Combined | WoW Change |
|--------|---------|-------------|----------|------------|
| Impressions | | | | ___% |
| Clicks | | | | ___% |
| CTR | | | | ___% |
| Avg CPC | | | | ___% |
| Cost | | | | ___% |
| Conversions | | | | ___% |
| Revenue | | | | ___% |
| ROAS | | | | ___% |
| Avg Quality Score | | | | ___% |
| CPA (Exact match) | | | | |
| CPA (Phrase match) | | | | |
| CPA (Broad match) | | | | |
| Top converting terms (3) | | | | |

### Section 3: Pre-Sell Performance

Pull from: TOF PMax campaigns + GA4 pre-sell events

| Metric | Editorials | Advertorials | Comparisons | Combined | WoW Change |
|--------|-----------|-------------|------------|----------|------------|
| Impressions | | | | | ___% |
| Clicks | | | | | ___% |
| Avg CPC | | | | | ___% |
| Cost | | | | | ___% |
| Page CVR | | | | | ___% |
| Avg Scroll Depth | | | | | |
| CTA Click Rate | | | | | |
| Direct Conversions | | | | | ___% |
| Assisted Conversions | | | | | |
| Remarketing Pool Added | | | | | |
| Cost per Remarket Visitor | | | | | |

### Section 4: RSA Performance

Pull from: All search campaigns (search ad assets report)

| Metric | This Week | Last Week | WoW Change |
|--------|-----------|-----------|------------|
| Headlines rated BEST | ___/total | ___/total | |
| Headlines rated GOOD | ___/total | ___/total | |
| Headlines rated LOW | ___/total | ___/total | |
| Descriptions rated BEST | ___/total | ___/total | |
| Descriptions rated LOW | ___/total | ___/total | |
| Avg Ad Strength Score | | | |
| Top headline by CTR | | | |
| Bottom headline by CTR | | | |

**Action items from RSA data:**
- Ad groups with LOW-rated headlines: ___________________ (refresh these)
- Ad groups with below-average CTR: ___________________ (rewrite these)

### Section 5: PMax Performance

Pull from: All PMax campaigns

| Metric | Campaign 1: _____ | Campaign 2: _____ | Campaign 3: _____ | Combined | WoW Change |
|--------|------------------|------------------|------------------|----------|------------|
| Cost | | | | | ___% |
| Revenue | | | | | ___% |
| ROAS | | | | | ___% |
| Conversions | | | | | ___% |

**Asset Group Breakdown (top 5 by revenue):**

| Asset Group | Revenue | ROAS | Conv. | Top Search Theme |
|------------|---------|------|-------|-----------------|
| 1. | | | | |
| 2. | | | | |
| 3. | | | | |
| 4. | | | | |
| 5. | | | | |

**Audience Signal Performance:**

| Signal Type | Revenue | ROAS | % of Total |
|------------|---------|------|-----------|
| Custom segments | | | |
| In-market audiences | | | |
| Affinity audiences | | | |
| Demographics | | | |

### Section 6: Demand Gen Performance

Pull from: YouTube + Gmail + Discover campaigns

| Metric | This Week | Last Week | WoW Change |
|--------|-----------|-----------|------------|
| Impressions | | | ___% |
| Views (video) | | | ___% |
| View Rate | | | ___% |
| Clicks | | | ___% |
| Cost | | | ___% |
| Direct Conversions | | | ___% |
| View-Through Conversions | | | ___% |
| Total Conversions (direct + VT) | | | ___% |
| Direct ROAS | | | ___% |
| Blended ROAS (direct + VT) | | | ___% |
| Remarketing Pool Growth | | | |
| Branded Search Lift (vs baseline) | | | |

### Section 7: Organic Integration

Pull from: Google Search Console (monthly, not weekly - GSC data has 2-3 day lag)

| Metric | This Month | Last Month | MoM Change |
|--------|-----------|-----------|------------|
| Organic Clicks (brand terms) | | | ___% |
| Organic Clicks (non-brand terms) | | | ___% |
| Organic CTR (avg) | | | ___% |
| Organic Position (avg) | | | |

**Overlap Analysis:**

| Keyword | Paid CPC | Organic Position | Overlap Type | Recommended Action |
|---------|----------|-----------------|-------------|-------------------|
| | | | High-paid, zero-organic | Create content |
| | | | High-organic, zero-paid | Test paid |
| | | | High-both | Test cannibalization |
| | | | | |
| | | | | |

**Content Gap Opportunities ($3+ CPC, zero organic):**
1. ___________________________ (CPC: $_____, Volume: _____)
2. ___________________________ (CPC: $_____, Volume: _____)
3. ___________________________ (CPC: $_____, Volume: _____)

## Blended Metrics Row

This is the most important row in the entire report.

| Metric | This Week | Last Week | WoW Change | MTD | Last Month |
|--------|-----------|-----------|------------|-----|------------|
| **Total Spend** | | | ___% | | |
| **Total Revenue** | | | ___% | | |
| **Blended ROAS** | | | ___% | | |
| **Total Conversions** | | | ___% | | |
| **Total New Customers** | | | ___% | | |
| **Customer Acquisition Cost** | | | ___% | | |
| **Remarketing Pool Size** | | | ___% | | |

### Blended ROAS Formula

```
Blended ROAS = Total Revenue (all sections) / Total Spend (all sections)
```

**Do NOT calculate blended ROAS by averaging individual section ROAS values.** That gives incorrect results because sections have different spend levels.

Correct: ($50,000 Shopping revenue + $20,000 Search revenue + $5,000 Pre-sell revenue) / ($15,000 Shopping spend + $8,000 Search spend + $3,000 Pre-sell spend) = $75,000 / $26,000 = 2.88x

Wrong: (3.33x Shopping ROAS + 2.50x Search ROAS + 1.67x Pre-sell ROAS) / 3 = 2.50x

### WoW Change Detection Formula

For any metric:
```
WoW Change = ((This Week - Last Week) / Last Week) x 100
```

**Flag threshold**: Highlight any cell with 15%+ WoW change (positive or negative) in yellow. These need investigation during Monday's 15-minute review.

## Worked Example: One Week of Sample Data

### Blended Summary

| Metric | This Week | Last Week | WoW Change | Flag |
|--------|-----------|-----------|------------|------|
| Total Spend | $18,450 | $17,200 | +7.3% | |
| Total Revenue | $62,800 | $58,100 | +8.1% | |
| Blended ROAS | 3.40x | 3.38x | +0.6% | |
| Total Conversions | 185 | 172 | +7.6% | |
| New Customers | 68 | 55 | +23.6% | YES |
| CAC | $271 | $313 | -13.4% | |
| Remarketing Pool | 12,400 | 11,100 | +11.7% | |

**Flagged items for Monday review:**
- New customers up 23.6% WoW - investigate cause. Was it a pre-sell page launch? A competitor campaign that started converting? A seasonal uptick?

### Section-Level Summary

| Section | Spend | Revenue | ROAS | WoW ROAS Change |
|---------|-------|---------|------|-----------------|
| Shopping | $8,200 | $33,600 | 4.10x | +2.5% |
| Search (Branded) | $1,800 | $21,600 | 12.00x | -1.6% |
| Search (Prospecting) | $3,400 | $10,200 | 3.00x | +5.3% |
| Pre-Sell Pages | $1,500 | $2,400 | 1.60x | -18.8% YES |
| PMax (non-shopping) | $2,050 | $8,200 | 4.00x | +12.1% |
| Demand Gen | $750 | $900 (direct) | 1.20x | +8.1% |
| Competitors | $750 | $6,000 | 8.00x | +25.0% YES |

**Flagged for Monday:**
- Pre-sell ROAS dropped 18.8% - check if a new page was added (14-day learning period?), or if existing page performance degraded
- Competitor campaigns up 25% - identify which competitor target is driving this. Scale if sustainable.

## Google Sheets Setup Instructions

### Tab Structure

Create 8 tabs:
1. `Summary` - Blended metrics row + section summary table
2. `Shopping` - Section 1 data
3. `Search` - Section 2 data
4. `Pre-Sell` - Section 3 data
5. `RSA` - Section 4 data
6. `PMax` - Section 5 data
7. `DemandGen` - Section 6 data
8. `Organic` - Section 7 data

### Key Formulas

**WoW Change (cell formula):**
```
=IF(B2=0,"N/A",(C2-B2)/B2*100)
```
Where B2 = Last Week, C2 = This Week

**Conditional formatting for flags:**
- Select the WoW Change column
- Format   Conditional formatting
- Custom formula: `=OR(ABS(D2) =15)`
- Formatting: Yellow background, bold text

**Blended ROAS (Summary tab):**
```
=SUM(Shopping!G2,Search!G2,PreSell!G2,PMax!G2,DemandGen!G2,Competitors!G2)/SUM(Shopping!F2,Search!F2,PreSell!F2,PMax!F2,DemandGen!F2,Competitors!F2)
```
Where column G = Revenue, column F = Cost

**CAC (Summary tab):**
```
=F2/H2
```
Where F2 = Total Spend, H2 = New Customers

### Data Entry Process (Every Monday)

1. Export last 7 days from Google Ads for each campaign type
2. Enter data into corresponding section tab
3. Summary tab auto-calculates from section tabs
4. Review flagged items (yellow cells)
5. Write action items in the Monday review notes

### Monthly Deep Dive Addition

On the first Monday of each month, add a monthly comparison row:
```
=IF(MONTH(TODAY())=MONTH(A2), "Current Month", "Prior Month")
```

Compare: Current month total vs prior month total vs same-month-last-year total.

---

*From: The Google Ads Scaling Roadmap*
*F.S.S. Protocol: Foundation, Structure, Scale + Operate*


# Template 9: Monthly Optimization Calendar

## Purpose

A pre-built 12-month calendar with recurring weekly, monthly, and quarterly tasks plus market-specific seasonal events. This keeps your Google Ads account running on a system instead of reacting to problems after they've already cost you money.

## Instructions

1. Print or copy the 12-month calendar below
2. Fill in your market-specific events in the event slots
3. Assign an owner to each recurring task
4. Check off tasks as completed each week
5. Use the event tier system to plan budget adjustments

## Weekly Recurring Tasks

Complete these every week, every month, all year:

| Day | Task | Time | Owner | Priority |
|-----|------|------|-------|----------|
| **Monday** | Pull brand report (all 7 sections) | 15 min | _______ | Required |
| **Monday** | Flag 15%+ WoW changes | 5 min | _______ | Required |
| **Monday** | Write action items for flagged metrics | 10 min | _______ | Required |
| **Monday** | Review search terms report (last 7 days) | 15 min | _______ | Required |
| **Monday** | Add negative keywords from search term review | 10 min | _______ | Required |
| **Tuesday** | Execute Monday's priority action items | 30-60 min | _______ | Required |
| **Tuesday** | Make bid adjustments within pre-approved ranges | 15 min | _______ | If needed |
| **Wednesday** | Check Merchant Center for new disapprovals | 10 min | _______ | Required |
| **Thursday** | Review change log - any changes hitting stabilization deadline? | 10 min | _______ | Required |
| **Friday** | Update change log with actual impacts | 15 min | _______ | Required |
| **Friday** | Note any changes still in learning period | 5 min | _______ | Required |

**Weekly time commitment: 2-3 hours**

## Monthly Recurring Tasks

Complete these once per month, in the designated week:

### Week 1: Deep Dive Review

| Task | Time | Owner |
|------|------|-------|
| Compare current month vs prior month vs same-month-last-year | 30 min | _______ |
| Identify structural trends (not weekly noise) | 15 min | _______ |
| Run full feed audit (title quality, attributes, disapprovals) | 45 min | _______ |
| Review negative keyword lists - add, remove, reorganize | 30 min | _______ |
| Run Google Search Console overlap analysis | 30 min | _______ |

### Week 2: Optimization Actions

| Task | Time | Owner |
|------|------|-------|
| RSA refresh for bottom 20% ad groups by CTR | 60 min | _______ |
| Expand keyword lists from search term mining (90-day pull) | 45 min | _______ |
| Test new audience signals in PMax (if applicable) | 30 min | _______ |
| Review custom label accuracy (price tier, margin, seasonality) | 20 min | _______ |

### Week 3: Competitor and Market Review

| Task | Time | Owner |
|------|------|-------|
| Evaluate competitor campaign performance | 20 min | _______ |
| Check impression share trends (gaining/losing?) | 15 min | _______ |
| Review competitive landscape (new entrants?) | 15 min | _______ |
| Budget rebalancing across campaign layers | 20 min | _______ |

### Week 4: Planning

| Task | Time | Owner |
|------|------|-------|
| Set goals and budget for next month | 20 min | _______ |
| Plan seasonal adjustments (check 30 days out) | 15 min | _______ |
| Identify new campaigns or pages to launch | 15 min | _______ |
| Review change log patterns - what worked, what didn't | 20 min | _______ |

**Monthly time commitment: ~6-8 additional hours**

## Quarterly Recurring Tasks

### Q1 (January-March), Q2 (April-June), Q3 (July-September), Q4 (October-December)

| Task | Time | Owner | When |
|------|------|-------|------|
| Full account restructure assessment | 2 hours | _______ | First week of quarter |
| New channel evaluation (add/remove campaign types?) | 1 hour | _______ | First week of quarter |
| Seasonal prep for next quarter's events | 1 hour | _______ | Last week of quarter |
| Landing page A/B test review and planning | 1 hour | _______ | Mid-quarter |
| Multi-market performance review (if applicable) | 1 hour | _______ | Mid-quarter |
| Feed quality deep audit (full 152-point if available) | 2 hours | _______ | Mid-quarter |
| Delegation audit: what can be delegated? | 30 min | _______ | Last week of quarter |

**Quarterly time commitment: ~8-10 additional hours**

## 12-Month Calendar

### January

| Week | Recurring Tasks | Events   Seasonal | Notes |
|------|----------------|-------------------|-------|
| W1 | Q1 restructure assessment + Monthly deep dive | US: Post-holiday wind-down | Reduce holiday budgets 10-15%/week |
| W2 | Monthly optimization actions | DE: Winterschlussverkauf (Major) | Budget +100% for DE if applicable |
| W3 | Competitor review + budget rebalancing | FR: Soldes begin (Critical for FR) | Budget +200% for FR if applicable |
| W4 | Planning + seasonal prep | IT: Saldi begin (Major for IT) | |

**Event slots (fill in your market-specific events):**
- Event: _________________ Tier: _____ Market: _____ Prep start: _____
- Event: _________________ Tier: _____ Market: _____ Prep start: _____

### February

| Week | Recurring Tasks | Events   Seasonal | Notes |
|------|----------------|-------------------|-------|
| W1 | Monthly deep dive | US: Valentine's Day prep (Major) | Start budget ramp 21 days out |
| W2 | Monthly optimization | US: Valentine's Day (Major, Feb 14) | Bid modifier 1.3x, budget +100% |
| W3 | Competitor review | Post-Valentine's normalization | Reduce over 7 days |
| W4 | Planning | | |

**Event slots:**
- Event: _________________ Tier: _____ Market: _____ Prep start: _____

### March

| Week | Recurring Tasks | Events   Seasonal | Notes |
|------|----------------|-------------------|-------|
| W1 | Monthly deep dive | UK: Mother's Day prep (Major, varies) | Check exact date for UK |
| W2 | Monthly optimization | | |
| W3 | Competitor review | Spring season ramp begins | |
| W4 | Q1 wrap-up + Q2 planning | US: Easter prep if applicable (Medium) | |

**Event slots:**
- Event: _________________ Tier: _____ Market: _____ Prep start: _____

### April

| Week | Recurring Tasks | Events   Seasonal | Notes |
|------|----------------|-------------------|-------|
| W1 | Q2 restructure assessment + Monthly deep dive | US: Easter (Medium, date varies) | Bid 1.15x, budget +50% |
| W2 | Monthly optimization | | |
| W3 | Competitor review | | |
| W4 | Planning | | |

**Event slots:**
- Event: _________________ Tier: _____ Market: _____ Prep start: _____

### May

| Week | Recurring Tasks | Events   Seasonal | Notes |
|------|----------------|-------------------|-------|
| W1 | Monthly deep dive | US: Mother's Day prep (Major) | Start ramp 21 days out |
| W2 | Monthly optimization | US: Mother's Day (Major, 2nd Sunday) | Bid 1.3x, budget +100% |
| W3 | Competitor review | US: Memorial Day prep (Medium) | |
| W4 | Planning | US: Memorial Day (Medium, last Monday) | Bid 1.15x, budget +50% |

**Event slots:**
- Event: _________________ Tier: _____ Market: _____ Prep start: _____

### June

| Week | Recurring Tasks | Events   Seasonal | Notes |
|------|----------------|-------------------|-------|
| W1 | Monthly deep dive | US: Father's Day prep (Medium) | |
| W2 | Monthly optimization | AU: EOFY prep (Major for AU) | Budget +100% for AU |
| W3 | Competitor review + Q2 mid-quarter | US: Father's Day (Medium, 3rd Sunday) | Bid 1.15x, budget +50% |
| W4 | Q2 wrap-up + Q3 planning | FR: Soldes begin (Critical for FR) | Budget +200% for FR |

**Event slots:**
- Event: _________________ Tier: _____ Market: _____ Prep start: _____

### July

| Week | Recurring Tasks | Events   Seasonal | Notes |
|------|----------------|-------------------|-------|
| W1 | Q3 restructure assessment + Monthly deep dive | US: Prime Day prep (Major, date varies) | Start ramp 21 days out |
| W2 | Monthly optimization | US: Prime Day (Major) | Bid 1.3x, budget +100% |
| W3 | Competitor review | IT: Saldi begin (Major for IT) | |
| W4 | Planning | | |

**Event slots:**
- Event: _________________ Tier: _____ Market: _____ Prep start: _____

### August

| Week | Recurring Tasks | Events   Seasonal | Notes |
|------|----------------|-------------------|-------|
| W1 | Monthly deep dive | US: Back to School ramp (Major) | |
| W2 | Monthly optimization | IT: Ferragosto Aug 15 (pause IT campaigns) | Italy shuts down mid-Aug |
| W3 | Competitor review | | |
| W4 | Planning | | |

**Event slots:**
- Event: _________________ Tier: _____ Market: _____ Prep start: _____

### September

| Week | Recurring Tasks | Events   Seasonal | Notes |
|------|----------------|-------------------|-------|
| W1 | Monthly deep dive | US: Labor Day (Medium, 1st Monday) | Bid 1.15x, budget +50% |
| W2 | Monthly optimization | | |
| W3 | Competitor review + Q3 mid-quarter | | |
| W4 | Q3 wrap-up + Q4 planning | Q4 CRITICAL: Begin BFCM planning NOW | 30 days = Oct 25 for Nov 24 |

**Event slots:**
- Event: _________________ Tier: _____ Market: _____ Prep start: _____

### October

| Week | Recurring Tasks | Events   Seasonal | Notes |
|------|----------------|-------------------|-------|
| W1 | Q4 restructure assessment + Monthly deep dive | | |
| W2 | Monthly optimization | | |
| W3 | Competitor review | BFCM budget ramp begins (10-15%/week) | Start ramping ALL markets |
| W4 | Planning | DE: Oktoberfest ends (Medium for F B) | Final BFCM prep review |

**Event slots:**
- Event: _________________ Tier: _____ Market: _____ Prep start: _____

### November

| Week | Recurring Tasks | Events   Seasonal | Notes |
|------|----------------|-------------------|-------|
| W1 | Monthly deep dive (abbreviated) | BFCM ramp continues | Budget at +100% by now |
| W2 | Monitor and adjust only | US: Veterans Day (Minor) | |
| W3 | BFCM week prep | Final bid/budget adjustments | Budget at +200%, bid at 1.5x |
| W4 | BFCM execution | US: Black Friday + Cyber Monday (Critical) | Monitor daily. Full deployment. |

**Event slots:**
- Event: _________________ Tier: _____ Market: _____ Prep start: _____

### December

| Week | Recurring Tasks | Events   Seasonal | Notes |
|------|----------------|-------------------|-------|
| W1 | Post-BFCM analysis | Begin holiday season push | Maintain elevated budgets |
| W2 | Monthly optimization (focused on holiday) | Holiday season (Critical, Dec 15-25) | Bid 1.5x, budget +200% |
| W3 | Holiday peak execution | Last shipping dates vary by carrier | Monitor daily |
| W4 | Holiday wind-down begins | UK: Boxing Day Dec 26 (Critical for UK) | Wind down US, ramp UK |

**Event slots:**
- Event: _________________ Tier: _____ Market: _____ Prep start: _____

## Event Tier Reference

Use this when adding events to your calendar:

| Tier | Bid Modifier | Budget Increase | Prep Time | Ramp Speed |
|------|-------------|-----------------|-----------|------------|
| Critical | 1.5x | +200% | 30 days | 10-15% per week |
| Major | 1.3x | +100% | 21 days | 10-15% per week |
| Medium | 1.15x | +50% | 14 days | 15-20% per week |
| Minor | 1.05x | +25% | 7 days | Full adjustment at once |

**Post-event wind-down**: Always 7 days. Never cut budgets overnight. Reduce 15% per day over 7 days.

## Multi-Market Event Quick Reference

| Event | US | UK | DE | FR | AU | IT |
|-------|----|----|----|----|----|----|
| New Year Sales | Medium | Medium | Major (WSV) | Critical (Soldes) | -- | Major (Saldi) |
| Valentine's Day | Major | Major | Medium | Medium | Medium | Medium |
| Mother's Day | Major (May) | Major (Mar) | Major (May) | Major (May) | Major (May) | Major (May) |
| Easter | Medium | Medium | Medium | Medium | Medium | Medium |
| Summer Sales | -- | -- | -- | Critical (Soldes) | -- | Major (Saldi) |
| EOFY | -- | -- | -- | -- | Major (Jun) | -- |
| Prime Day | Major (Jul) | Major (Jul) | Major (Jul) | Major (Jul) | -- | Major (Jul) |
| Back to School | Major (Aug) | Medium (Sep) | Medium (Aug) | Major (Sep) | Major (Jan) | Medium (Sep) |
| BFCM | Critical | Critical | Critical | Major | Critical | Major |
| Holiday Season | Critical | Critical | Critical | Critical | Critical | Critical |
| Boxing Day | -- | Critical | -- | -- | Critical | -- |

## Owner Assignment Template

| Role | Tasks Assigned | Time/Week |
|------|---------------|-----------|
| Account Manager | Strategy, bid decisions, planning | 3-5 hours |
| Specialist/VA | Search terms, negatives, reporting, MC issues | 3-5 hours |
| Strategist (quarterly) | Restructure assessments, channel evaluation | 2-3 hours/quarter |

---

*From: The Google Ads Scaling Roadmap*
*F.S.S. Protocol: Foundation, Structure, Scale + Operate*


# Template 10: Revenue Tier Scaling Checklist

## Purpose

Three structured checklists - one for each revenue tier - that walk you through every step needed to scale from your current level to the next. Each item has a specific action, success metric, and expected timeline. Don't skip items. Don't rush.

## Instructions

1. Identify your current revenue tier
2. Complete each checklist item in order (they build on each other)
3. Check off items only when the success metric is met
4. Don't advance to the next tier until you've completed 100% of the current checklist

---

## Tier 1: $10K to $50K/Month

**Focus**: Foundation and Structure
**Timeline**: 8-12 weeks
**Starting point**: Running mostly branded campaigns, Google feels like a support channel

### Prerequisites (must be true before starting)

- [ ] You have a functioning e-commerce store with at least 30 days of transaction history
- [ ] You have Google Ads and Google Merchant Center accounts set up
- [ ] You have at least $10K/month in Google Ads budget available
- [ ] You can commit 3-5 hours per week to account management

### Phase 1: Foundation (Week 1-3)

| # | Action | Success Metric | Timeline | Status |
|---|--------|---------------|----------|--------|
| 1 | Complete conversion tracking audit (5-point check from Module 2) | All 5 checks pass. Values match OMS within 5% | Week 1 | [ ] |
| 2 | Fix duplicate conversion actions | Exactly 1 purchase action in Google Ads | Week 1 | [ ] |
| 3 | Enable enhanced conversions | Verified via Tag Assistant, showing matched signals | Week 1 | [ ] |
| 4 | Audit and fix Merchant Center quality | Zero "critical" disapprovals, all recommendations reviewed | Week 1-2 | [ ] |
| 5 | Upload customer lists (purchasers + high-value minimum) | At least 1 list with 1,000+ entries active in Google Ads | Week 2 | [ ] |
| 6 | Separate branded and prospecting campaigns | Four-pocket structure live: Brand Search, Prospecting Search, Brand Shopping, Prospecting Shopping/PMax | Week 2-3 | [ ] |
| 7 | Add brand name negatives to all prospecting campaigns | Brand name + top 5 misspellings negated. Zero brand term leakage verified in search terms report | Week 3 | [ ] |
| 8 | Calculate Scaling Readiness Score | Score 80+ out of 100 | Week 3 | [ ] |

### Phase 2: Structure (Week 3-8)

| # | Action | Success Metric | Timeline | Status |
|---|--------|---------------|----------|--------|
| 9 | Optimize product titles with zone architecture (top 20% of catalog) | Zone 1 (first 70 chars) contains primary keywords for 90%+ of optimized products | Week 3-4 | [ ] |
| 10 | Run feed quality validation | Score 95+ on quality check | Week 4 | [ ] |
| 11 | Set up search campaign with 3-5 keyword themes | Each ad group has 15,000+ monthly search volume | Week 4-5 | [ ] |
| 12 | Build initial negative keyword lists (universal + category-specific) | 200+ negative keywords across all lists combined | Week 5 | [ ] |
| 13 | Set up all ad extensions (sitelinks, callouts, structured snippets) | 4+ sitelinks, 4+ callouts, 2+ snippets active | Week 5 | [ ] |
| 14 | Launch prospecting campaigns at 20% of total budget | Prospecting campaigns running with Manual CPC or Maximize Clicks | Week 5-6 | [ ] |
| 15 | Follow bidding warmup: Manual CPC or Max Clicks for first 4 weeks | 10+ clicks per day per campaign, data flowing cleanly | Week 6-8 | [ ] |

### Milestones

| # | Milestone | Target | When to Expect |
|---|-----------|--------|---------------|
| M1 | Prospecting campaigns generating traffic consistently | 200+ clicks/week across prospecting | Week 6 |
| M2 | 50+ conversions in 30-day window (all campaigns combined) | Threshold met for smart bidding consideration | Week 8-10 |
| M3 | Move qualifying campaigns to tROAS (set 20% below profitable) | tROAS active, volume holding or growing | Week 10-12 |

### You're ready for Tier 2 when:

- [ ] Prospecting campaigns are profitable (ROAS 2.5x+) for 60+ consecutive days
- [ ] Branded impression share is 90%+ on your brand terms
- [ ] 50+ conversions per month across all campaigns
- [ ] You can clearly see branded vs prospecting performance in your reporting
- [ ] You've identified 5+ keyword themes with proven conversion data

---

## Tier 2: $50K to $100K/Month

**Focus**: Expansion
**Timeline**: 3-4 months
**Starting point**: Four-pocket structure is profitable, looking for new volume sources

### Prerequisites (must be true before starting)

- [ ] All Tier 1 checklist items completed
- [ ] Prospecting ROAS consistently 2.5x+ for 60+ days
- [ ] 50+ conversions/month across all campaigns
- [ ] $50K+/month budget available
- [ ] Can commit 5-8 hours per week to account management

### Phase 1: Infrastructure (Month 1)

| # | Action | Success Metric | Timeline | Status |
|---|--------|---------------|----------|--------|
| 1 | Build the unified brand report (at minimum Sections 1, 2, 5 from Module 12) | Weekly report pulling data from 3+ sections, blended metrics row working | Week 1-2 | [ ] |
| 2 | Install the weekly cadence (Monday review, Tue-Thu execution, Friday log) | 4 consecutive weeks of completed weekly cycles | Week 1-4 | [ ] |
| 3 | Set up the change log system | Every change logged with date, campaign, expected impact, and 14-day stabilization deadline | Week 1 | [ ] |
| 4 | Identify top 3-5 competitor targets (2,000+ branded monthly searches each) | Competitor target list with search volumes and opportunity assessment | Week 2 | [ ] |
| 5 | Build 1-2 comparison landing pages for top competitor targets | Pages live, tested on mobile, tracking installed | Week 3-4 | [ ] |

### Phase 2: Expansion (Month 2-3)

| # | Action | Success Metric | Timeline | Status |
|---|--------|---------------|----------|--------|
| 6 | Launch competitor search campaigns for top 3 targets | Campaigns live with proper keyword structure and comparison page destinations | Month 2, Week 1 | [ ] |
| 7 | Launch first 2 pre-sell pages (1 COLD editorial + 1 WARM advertorial) | Pages live with tracking, PMax campaigns created per page type | Month 2, Week 2-3 | [ ] |
| 8 | Begin feed segmentation for top 20% of catalog by revenue | 10-20 segments created with segment-specific titles | Month 2, Week 3-4 | [ ] |
| 9 | Add per-product search campaigns for 5-10 best sellers | Angle-based architecture with 3-5 angles per product, 7 RSA variants per angle | Month 3, Week 1-2 | [ ] |
| 10 | Add 2 more pre-sell pages based on first month's performance data | New pages match temperature zones that performed best in initial launch | Month 3, Week 2-3 | [ ] |

### Phase 3: Optimization (Month 3-4)

| # | Action | Success Metric | Timeline | Status |
|---|--------|---------------|----------|--------|
| 11 | Run first monthly deep dive comparison (current vs prior vs YoY) | Analysis completed, structural trends identified, action items written | Month 3, Week 1 | [ ] |
| 12 | RSA refresh for bottom 20% of ad groups by CTR | Refreshed ads running, old ads paused | Month 3, Week 2 | [ ] |
| 13 | Run Google Search Console overlap analysis | Top 10 content gap opportunities identified ($3+ CPC, zero organic) | Month 3, Week 3 | [ ] |
| 14 | Evaluate Demand Gen readiness (creative assets available? budget?) | Clear yes/no decision with rationale documented | Month 3-4 | [ ] |
| 15 | Run full change log pattern review: what types of changes consistently work? | Top 3 positive change patterns and top 3 negative patterns identified | Month 4 | [ ] |

### Milestones

| # | Milestone | Target | When to Expect |
|---|-----------|--------|---------------|
| M1 | Competitor campaigns reaching 3x+ ROAS | Profitable competitor targeting | Month 2-3 |
| M2 | Pre-sell pages generating 2,000+ monthly remarketing visitors | Top-of-funnel engine working | Month 3 |
| M3 | Blended ROAS stable (within 10% variance) for 60+ days | Predictable performance | Month 3-4 |
| M4 | Can identify top 10 and bottom 10 SKUs by profitability in under 60 seconds | Reporting infrastructure mature | Month 2 |

### You're ready for Tier 3 when:

- [ ] Blended ROAS stable for 90+ days across all campaign types
- [ ] 6+ campaign types running (branded search, prospecting search, branded shopping, prospecting PMax, competitors, pre-sell)
- [ ] Change log showing clear cause-effect patterns over 90+ days
- [ ] Weekly cadence operating smoothly for 12+ consecutive weeks
- [ ] You've identified expansion opportunities being held back only by budget (not by infrastructure or knowledge gaps)

---

## Tier 3: $100K to $300K+/Month

**Focus**: Systematic Scaling
**Timeline**: 4-6 months
**Starting point**: Full-funnel campaigns profitable, ready for significant expansion

### Prerequisites (must be true before starting)

- [ ] All Tier 1 and Tier 2 checklist items completed
- [ ] 6+ campaign types running profitably
- [ ] Blended ROAS stable for 90+ days
- [ ] $100K+/month budget available
- [ ] Team in place (or being built) to handle 10+ hours/week of management
- [ ] Written playbooks exist for each campaign type

### Phase 1: Systems (Month 1-2)

| # | Action | Success Metric | Timeline | Status |
|---|--------|---------------|----------|--------|
| 1 | Build the complete unified brand report (all 7 sections from Module 12) | All 7 sections populated weekly, blended metrics automated | Month 1, Week 1-2 | [ ] |
| 2 | Establish team delegation framework (Module 13) | Delegatable tasks assigned with  5% error rate after 2 weeks | Month 1, Week 2-3 | [ ] |
| 3 | Full catalog feed segmentation (50-120 segments, 6-8x coverage multiplier) | Segmented feed live in Merchant Center, quality score 95+ | Month 1-2 | [ ] |
| 4 | Implement all 5 custom label strategies in product feed | All products labeled by price tier, margin, seasonality, inventory, funnel layer | Month 1, Week 3-4 | [ ] |
| 5 | Build pre-sell page system to 6-8 pages across all temperature zones | At least 2 COLD, 2 WARM, and 2 HOT pages live with dedicated PMax campaigns | Month 1-2 | [ ] |

### Phase 2: Expansion (Month 2-4)

| # | Action | Success Metric | Timeline | Status |
|---|--------|---------------|----------|--------|
| 6 | Evaluate and select first expansion market (Tier 1: US, UK, DE, FR) | Market selected based on demand analysis, shipping feasibility, and payment method support | Month 2, Week 1 | [ ] |
| 7 | Set up market-specific feeds and campaigns for new market | Market-specific titles, descriptions, keywords in local language. Campaigns live at 20-30% of domestic budget | Month 2-3 | [ ] |
| 8 | Launch Demand Gen campaigns (if not already running) | Video + image assets created in 3 aspect ratios, campaigns live and tracking view-through conversions | Month 2-3 | [ ] |
| 9 | Evaluate and launch second expansion market | Second market campaigns live, following same warmup protocol | Month 3-4 | [ ] |
| 10 | Build market-specific seasonal calendars for each active market | 12-month calendar with event tiers and prep timelines per market | Month 3 | [ ] |

### Phase 3: Optimization at Scale (Month 4-6)

| # | Action | Success Metric | Timeline | Status |
|---|--------|---------------|----------|--------|
| 11 | Run quarterly account restructure assessment | Assessment completed with specific recommendations (consolidate, split, add, remove) | Month 4 | [ ] |
| 12 | Run A/B tests on top 3 landing pages by traffic volume | 1,000+ sessions per variant, statistical significance reached, winners implemented | Month 4-5 | [ ] |
| 13 | Run organic-paid overlap analysis and create 3 content pieces for top gaps | 3 blog/resource pages published targeting $3+ CPC keywords with zero organic | Month 4-5 | [ ] |
| 14 | Review and optimize multi-market performance (each market vs benchmarks) | Each new market at 25%+ of domestic performance within 3 months of launch | Month 5-6 | [ ] |
| 15 | Full change log pattern analysis (6+ months of data) | Top 5 high-impact positive changes documented as repeatable playbooks | Month 6 | [ ] |

### Milestones

| # | Milestone | Target | When to Expect |
|---|-----------|--------|---------------|
| M1 | Revenue growing 15-25% month-over-month | Sustained growth, not spiky | Month 2-3 |
| M2 | New market reaching 25%+ of domestic performance | First expansion market working | Month 4-5 |
| M3 | Pre-sell pages contributing 15%+ of total remarketing pool | TOF system established | Month 3-4 |
| M4 | Team operating independently on delegated tasks | Less than 5% error rate on routine tasks | Month 2-3 |
| M5 | Brand report showing positive blended trends across all 7 sections | Full system health confirmed | Month 4-6 |

### You're ready for what's next when:

- [ ] 3+ profitable markets running with clear performance trajectories
- [ ] Blended ROAS stable across all campaign types and markets
- [ ] Team handling daily operations independently
- [ ] Change log demonstrates repeatable, predictable optimization patterns
- [ ] Monthly operating system running on autopilot (you review, team executes)

**Next moves from here:**
- DFY services for continued optimization and management
- Signature-tier Operating System for advanced strategies beyond this roadmap
- Additional market expansion (Tier 2 and Tier 3 markets)
- Channel diversification (Meta, TikTok with Google learnings applied)

---

## Tier Transition Summary

| From | To | Key Trigger | Estimated Time | Key Risk if You Rush |
|------|-----|------------|---------------|---------------------|
| $10K | $50K | Prospecting profitable 60+ days, 50+ conv/month | 8-12 weeks | Over-segmented campaigns starve algorithm |
| $50K | $100K | 6+ campaign types, 90-day stable ROAS | 3-4 months | Too many simultaneous launches overwhelm management capacity |
| $100K | $300K+ | Team in place, written playbooks, expansion markets identified | 4-6 months | Cutting budgets overnight, no change log, no seasonal prep |


# Competitor Campaign Launch Playbook

**Purpose**: Step-by-step guide to launching profitable competitor targeting campaigns.

---

## Overview

Competitor campaigns target your competitors' brand names on Google. When someone searches for "[Competitor Name]", your ad appears.

This is 100% legal and Google-compliant. SaaS companies have done it for years. E-commerce brands rarely use it, which is your opportunity.

**Results we've seen**: $20k+/mo at 9.1x ROAS from competitor traffic alone.

---

## Phase 1: Competitor Research (Day 1-2)

### Step 1: Build Your Competitor List

List 10-20 competitors in your space:

| Competitor | Website | Direct Competitor? | Notes |
|------------|---------|-------------------|-------|
| 1. | | ☐ Yes ☐ No | |
| 2. | | ☐ Yes ☐ No | |
| 3. | | ☐ Yes ☐ No | |
| 4. | | ☐ Yes ☐ No | |
| 5. | | ☐ Yes ☐ No | |
| 6. | | ☐ Yes ☐ No | |
| 7. | | ☐ Yes ☐ No | |
| 8. | | ☐ Yes ☐ No | |
| 9. | | ☐ Yes ☐ No | |
| 10. | | ☐ Yes ☐ No | |

### Step 2: Check Branded Search Volume

Go to Google Keyword Planner. Enter each competitor's brand name.

| Competitor | Branded Searches/Mo | Trend (3 mo) | Priority |
|------------|---------------------|--------------|----------|
| 1. | | ↑ ↓ → | |
| 2. | | ↑ ↓ → | |
| 3. | | ↑ ↓ → | |
| 4. | | ↑ ↓ → | |
| 5. | | ↑ ↓ → | |

**Minimum threshold**: 2,000 branded searches/month
**Best opportunities**: Growing brands (↑) with 5,000+ searches

### Step 3: Assess Vulnerability

Score each competitor on vulnerability:

| Factor | Low | Medium | High |
|--------|-----|--------|------|
| Running Google Ads? | Yes, aggressive | Yes, basic | No/minimal |
| Brand awareness source | Paid search | Mixed | Social/influencer |
| Known issues/complaints | None | Some | Many |
| Price comparison | Cheaper | Same | More expensive |

**Priority targets**: Competitors who are HIGH on vulnerability, growing in searches, and focused on social (ignoring Google).

---

## Phase 2: Campaign Setup (Day 3-4)

### Option A: Search Campaign

**Campaign Settings**:
- Campaign type: Search
- Networks: Google Search only (no partners)
- Locations: Your target markets
- Bidding: Maximize Clicks with cap OR Manual CPC

**Ad Group Structure**:
Create one ad group per competitor (or group 2-3 similar competitors):

| Ad Group | Keywords |
|----------|----------|
| [Competitor 1] | [competitor name], "competitor name", competitor name reviews |
| [Competitor 2] | [competitor name], "competitor name", competitor name reviews |

**Keyword Variations to Include**:
- Brand name exact: [competitor]
- Brand name phrase: "competitor"
- Brand + product: [competitor product]
- Brand + reviews: [competitor reviews]
- Brand + alternative: [competitor alternative]
- Misspellings: [compettitor], [competitr]

**Negative Keywords**:
- careers, jobs, hiring
- free, coupon, discount (unless you're competing on price)
- login, account, support

### Option B: PMax Campaign

**Campaign Settings**:
- Campaign type: Performance Max
- Budget: 10-15% of your main PMax budget
- Bidding: Maximize Conversion Value (no target initially)

**Audience Signals**:
- Custom segment: Competitor brand names
- Custom segment: Competitor URLs
- Custom segment: Related keywords
- Interests: Your product category

**Asset Groups**:
- Headlines: Focus on comparison ("Looking for an alternative to [Competitor]?")
- Descriptions: Your differentiators
- Images: Your products, lifestyle
- Videos: If available

---

## Phase 3: Ad Copy (Day 3-4)

### What You CAN Do:
- Compare your features to the category
- Highlight your unique benefits
- Use "alternative" language
- Show reviews and ratings
- Offer discounts

### What You CANNOT Do:
- Use their trademark in headlines
- Make false claims about their product
- Imply endorsement or partnership
- Confuse customers about who you are

### Ad Copy Templates

**Template 1: Alternative Focus**
```
Headline 1: Looking for a Better [Product Category]?
Headline 2: [Your Brand] - [Key Differentiator]
Headline 3: [Social Proof - X Reviews]
Description: [Benefit 1], [Benefit 2], and [Benefit 3]. Free shipping on orders over $X.
```

**Template 2: Comparison Focus**
```
Headline 1: Compare Before You Buy
Headline 2: [Your Brand] [Product] - [Key Feature]
Headline 3: [X]% of Customers Switched to Us
Description: See why customers are choosing [Your Brand]. [Benefit], [Benefit], and [Guarantee].
```

**Template 3: Problem Focus**
```
Headline 1: Frustrated with Your Current [Product]?
Headline 2: [Your Brand] - [Solution to Common Problem]
Headline 3: [Money-Back Guarantee or Offer]
Description: [Your Brand] solves [specific problem]. [Proof point]. Try risk-free for [X] days.
```

---

## Phase 4: Landing Page Strategy (Day 4-5)

### Option 1: Product Page (Quick Start)

Send traffic directly to your product page.

**Best for**: Initial validation, testing demand
**Expected result**: Lower conversion rate, but faster launch
**Use when**: You want to confirm interest before building comparison page

### Option 2: Comparison Landing Page (Recommended)

Build a dedicated "[Your Brand] vs [Competitor]" page.

**Expected result**: 20-40% conversion lift vs product page
**Use when**: You've validated demand and want to maximize

**Comparison Page Structure**:

```
1. HEADLINE
   "[Your Brand] vs [Competitor]: Which is Right for You?"

2. QUICK COMPARISON TABLE
   | Feature | [Your Brand] | [Competitor] |
   |---------|--------------|--------------|
   | [Feature 1] | ✓ | ✓ |
   | [Feature 2] | ✓ | ✗ |
   | [Feature 3] | ✓ | Limited |
   | Price | $X | $Y |
   | Shipping | Free | $X |
   | Returns | X days | Y days |

3. YOUR UNIQUE ADVANTAGES
   - Advantage 1 with explanation
   - Advantage 2 with explanation
   - Advantage 3 with explanation

4. CUSTOMER TESTIMONIALS
   "I switched from [Competitor] because..."

5. FREQUENTLY ASKED QUESTIONS
   - How does [Your Brand] compare to [Competitor]?
   - Why are customers switching?
   - What's your guarantee?

6. CALL TO ACTION
   "Try [Your Brand] Risk-Free"
```

### Option 3: Listicle Page

"Top 5 [Product Category] in 2026 (Compared)"

**Expected result**: 15-25% conversion lift vs product page
**Use when**: You want a more "editorial" feel

**Listicle Structure**:
1. Intro acknowledging the category
2. Your product as #1 pick (with reasons)
3. 2-4 competitors as alternatives
4. Comparison summary
5. CTA to your product

---

## Phase 5: Launch and Optimize (Day 5+)

### Week 1: Launch

- [ ] Launch Search campaign OR PMax (not both initially)
- [ ] Set conservative budget (10-15% of main campaigns)
- [ ] Check ads are showing (search your competitors' names)
- [ ] Monitor for policy violations

### Week 2: Initial Optimization

- [ ] Review search terms report
- [ ] Add negative keywords for irrelevant terms
- [ ] Check click-through rate by competitor
- [ ] Pause low-performing ad variations

### Week 3-4: Performance Assessment

| Metric | Target | Actual | Status |
|--------|--------|--------|--------|
| CTR |  2% | | |
| Conversion Rate |  1% | | |
| ROAS |  3x | | |
| CPA |  $X | | |

**If hitting targets**: Increase budget gradually (20% weekly)
**If below targets**: Test new ad copy, improve landing page, adjust bids

### Month 2+: Scale

- [ ] Add more competitors to targeting
- [ ] Build comparison pages for top converters
- [ ] Test PMax if started with Search (or vice versa)
- [ ] Increase budget on profitable segments

---

## Performance Tracking

### Weekly Metrics

| Week | Spend | Clicks | Conv | ROAS | Top Competitor |
|------|-------|--------|------|------|----------------|
| 1 | | | | | |
| 2 | | | | | |
| 3 | | | | | |
| 4 | | | | | |

### Competitor Performance

| Competitor | Spend | Conv | ROAS | Status |
|------------|-------|------|------|--------|
| | | | | Scale / Hold / Pause |
| | | | | Scale / Hold / Pause |
| | | | | Scale / Hold / Pause |
| | | | | Scale / Hold / Pause |

---

## Troubleshooting

### Low impressions
- Check: Is competitor search volume sufficient (2,000+)?
- Check: Are your bids competitive?
- Fix: Increase bids or choose higher-volume competitors

### Low CTR ( 1%)
- Check: Is ad copy relevant to competitor audience?
- Check: Are you offering a clear alternative?
- Fix: Test new ad variations with stronger differentiation

### Low conversion rate ( 0.5%)
- Check: Does landing page speak to competitor customers?
- Check: Is your offer compelling vs the competitor?
- Fix: Build comparison landing page if not already

### Policy violations
- Check: Are you using trademarks in ad copy?
- Check: Are you making false claims?
- Fix: Revise ad copy to be comparison-focused, not trademark-using

---

## Checklist

- [ ] Identified 5+ vulnerable competitors with 2,000+ searches
- [ ] Built Search OR PMax campaign structure
- [ ] Created compliant ad copy
- [ ] Landing page ready (product or comparison)
- [ ] Launched with conservative budget
- [ ] Week 1-2 optimization complete
- [ ] Performance assessment at day 30
- [ ] Scaling decision made

---

*From: The Google Ads Scaling Roadmap*
*F.S.S. Protocol: Foundation, Structure, Scale + Operate*


# Advertorial Template Library

**Purpose**: 5 proven advertorial formats for informational search campaigns.

---

## What is an Advertorial?

An advertorial is educational content that warms cold traffic before introducing your product.

**Why it works**: Informational searchers ("how to fix knee pain") aren't ready to buy. They need to be educated first. Advertorials provide value, build trust, and naturally introduce your product as the solution.

**Traffic source**: Informational keywords that cost 10-100x less than product keywords.

---

## Template 1: The Problem-Solution Article

**Best for**: Audiences with a clear problem who don't know the solution yet

**Headline Formula**: "Why Most [Audience] Stay Stuck With [Problem]"

### Structure

```markdown
# Why Most [Audience] Stay Stuck With [Problem]

## The Problem (Hook)
[2-3 paragraphs acknowledging their struggle. Use customer language.
Show you understand their frustration.]

## Why Common Solutions Fail (Education)
### Failed Solution 1: [Common Approach]
[Why it doesn't work. Be specific.]

### Failed Solution 2: [Another Common Approach]
[Why it doesn't work. Be specific.]

### Failed Solution 3: [Third Common Approach]
[Why it doesn't work. Be specific.]

## The Real Issue (Insight)
[Explain the underlying mechanism. Why do these solutions fail?
What's the root cause most people miss?]

## A Better Approach (Transition)
[Introduce the correct methodology. This is where you start
bridging to your product without directly selling yet.]

## How [Your Product] Applies This Approach
[Now introduce your product as the implementation of this approach.
Keep it informational, not salesy.]

### Feature 1 → Benefit
### Feature 2 → Benefit
### Feature 3 → Benefit

## What Others Are Saying
[2-3 testimonials from customers who had the same problem]

## Next Steps
[Clear CTA. "Try [Product] for X days risk-free"]
```

### Example (Skincare):

**Title**: Why Most People Over 30 Can't Get Rid of Dark Circles

**Problem**: "No matter how much sleep you get..."
**Failed Solutions**: Cucumber slices, generic eye creams, more sleep
**Real Issue**: Thin under-eye skin needs peptides and vitamin K, not moisture
**Solution**: Products with proven ingredients in proper concentrations
**Product**: Your eye cream with specific peptide blend

---

## Template 2: The Myth-Busting Article

**Best for**: Categories with widespread misinformation

**Headline Formula**: "[Number] Reasons You're Not [Achieving Outcome]"

### Structure

```markdown
# 7 Reasons You're Not [Achieving Outcome]

## Introduction
[Brief intro acknowledging they've tried. Validate their effort.]

## Reason 1: [Myth/Mistake]
**What most people think**: [Common belief]
**The reality**: [Truth with evidence]
**What to do instead**: [Actionable fix]

## Reason 2: [Myth/Mistake]
[Same structure]

## Reason 3: [Myth/Mistake]
[Same structure]

## Reason 4: [Myth/Mistake]
[Same structure]

## Reason 5: [Myth/Mistake]
[Same structure]

## Reason 6: [Myth/Mistake]
[Same structure]

## Reason 7: [Myth/Mistake]
[Same structure - make this one lead into your product]

## The Solution
[Summarize the correct approach. Introduce your product
as the tool that addresses all 7 reasons.]

## Try It Risk-Free
[CTA with guarantee]
```

### Example (Supplements):

**Title**: 7 Reasons Your Protein Powder Isn't Building Muscle

**Reasons**:
1. Taking it at the wrong time
2. Not enough total daily protein
3. Incomplete amino acid profile
4. Fillers reducing absorption
5. Wrong type for your goals
6. Not training hard enough (yes, call them out)
7. Inconsistent supplementation

**Solution**: Your complete protein with full amino profile and timing guide

---

## Template 3: The Comparison/Review Article

**Best for**: Commercial-intent searchers researching options

**Headline Formula**: "We Tested the [Number] Most Popular [Products]. Here's What Won."

### Structure

```markdown
# We Tested the 5 Most Popular [Products]. Here's What Won.

## How We Tested
[Methodology explanation. Build credibility.]

### Criteria:
- Criterion 1
- Criterion 2
- Criterion 3
- Criterion 4

## Quick Results Summary

| Product | Overall | [Criterion 1] | [Criterion 2] | [Criterion 3] | Price |
|---------|---------|---------------|---------------|---------------|-------|
| [Your Product] | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | $X |
| [Competitor 1] | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | $X |
| [Competitor 2] | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐ | $X |
| [Competitor 3] | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ | $X |
| [Competitor 4] | ⭐⭐ | ⭐⭐ | ⭐⭐⭐ | ⭐⭐ | $X |

## #1: [Your Product] - Best Overall
[Detailed review. Be honest about pros AND cons.
Cons should be minor or things your audience doesn't care about.]

### What We Loved
### What Could Be Better
### Best For: [Specific use case]

## #2: [Competitor 1] - Best for [Specific Use]
[Honest review. Find something good to say.]

### What We Loved
### What Could Be Better
### Best For: [Different use case]

## #3-5: [Other Competitors]
[Shorter reviews for each]

## Our Recommendation
[Clear recommendation for your product with reasons]

## Try [Your Product]
[CTA]
```

### Example (Home Office):

**Title**: We Tested the 5 Most Popular Standing Desks. Here's What Won.

**Criteria**: Stability, adjustability, build quality, price
**Winner**: Your standing desk
**Honest cons**: "Takes 45 minutes to assemble" (acceptable con)

---

## Template 4: The How-To Guide

**Best for**: Process-oriented searches, DIY audiences

**Headline Formula**: "The Complete Guide to [Achieving Outcome]"

### Structure

```markdown
# The Complete Guide to [Achieving Outcome]

## Introduction
[Why this outcome matters. Who this guide is for.]

## What You'll Learn
- [Key learning 1]
- [Key learning 2]
- [Key learning 3]

## Step 1: [First Step]
[Detailed explanation with specific instructions]

### Tips:
- Tip 1
- Tip 2

### Common Mistakes:
- Mistake to avoid

## Step 2: [Second Step]
[Same structure]

## Step 3: [Third Step]
[Same structure]

## Step 4: [Fourth Step]
[Same structure]

## Step 5: [Fifth Step]
[This step naturally involves your product]

## Tools You'll Need
[List of tools/products, including yours prominently]

## Recommended: [Your Product]
[Why your product is ideal for this process]

## Frequently Asked Questions
[Address common concerns]

## Next Steps
[CTA to try your product]
```

### Example (Fitness):

**Title**: The Complete Guide to Building Muscle After 40

**Steps**:
1. Adjust training volume and recovery
2. Prioritize protein timing
3. Focus on compound movements
4. Manage stress and sleep
5. Supplement strategically (your products)

---

## Template 5: The "Real Talk" Confessional

**Best for**: Trust-building, skeptical audiences

**Headline Formula**: "The Truth About [Product Category] (From Someone Who's Tried Everything)"

### Structure

```markdown
# The Truth About [Product Category] (From Someone Who's Tried Everything)

## My Story
[Personal narrative. Establish you were in their shoes.
You've tried everything. You were skeptical too.]

## What I Learned the Hard Way
[Mistakes you made. Money wasted. Things that didn't work.]

### Lesson 1: [What didn't work]
### Lesson 2: [What didn't work]
### Lesson 3: [What didn't work]

## What Actually Made a Difference
[The breakthrough. The insight that changed everything.]

## What I Use Now
[Introduction of your product, framed as personal discovery]

### Why I Chose It:
- Reason 1
- Reason 2
- Reason 3

### What I Noticed:
- Result 1
- Result 2
- Result 3

## Would I Recommend It?
[Honest assessment. Who it's for. Who it's not for.]

## Try It Yourself
[CTA with personal guarantee endorsement]
```

### Example (Sleep):

**Title**: The Truth About Sleep Supplements (From Someone Who Tried 23 of Them)

**Story**: Years of insomnia, thousands spent on products
**Lessons**: Melatonin alone doesn't work, timing matters, quality varies
**What works**: Your sleep formula with specific blend
**Honest take**: "Takes 2 weeks to notice, but worth the wait"

---

## Implementation Checklist

For each advertorial:

- [ ] Chose template that matches search intent
- [ ] Customized headline with specific numbers/audience
- [ ] Problem section uses customer language (not jargon)
- [ ] Educational content is genuinely valuable (not just filler)
- [ ] Product introduction feels natural (not forced)
- [ ] Included social proof (reviews, testimonials)
- [ ] Clear CTA at the end
- [ ] Mobile-friendly formatting
- [ ] Page loads fast ( 3 seconds)

---

## Keyword → Template Matching

| Keyword Type | Best Template |
|--------------|---------------|
| "How to..." | How-To Guide |
| "Why can't I..." | Problem-Solution |
| "Best [product]..." | Comparison/Review |
| "[Product] reviews..." | Comparison/Review |
| "[Problem] solution..." | Problem-Solution |
| "Does [product] work..." | Myth-Busting or Confessional |
| "[Product] vs [product]..." | Comparison |
| "What causes [problem]..." | Problem-Solution |

---

*From: The Google Ads Scaling Roadmap*
*F.S.S. Protocol: Foundation, Structure, Scale + Operate*


# Feed Duplication Strategy Guide

**Purpose**: Advanced tactic for Shopping/PMax optimization through parallel feed testing.

---

## What is Feed Duplication?

Feed duplication means running multiple versions of your product feed with different title optimizations, then testing them in separate campaigns to find the winning approach.

**Why it works**: It's impossible to know which title strategy Google prefers for your category. Feed duplication lets you test at scale without disrupting your main campaigns.

---

## When to Use This Strategy

**Use when:**
- [ ] You're spending $20k+/month on Shopping/PMax
- [ ] Your foundation is solid (Phase 1 complete)
- [ ] Your main Shopping campaigns are stable
- [ ] You have capacity to manage multiple campaigns
- [ ] You want to reach the next level of optimization

**Don't use when:**
- [ ] Spending under $20k/month (not enough data)
- [ ] Foundation still has issues
- [ ] Main campaigns are unstable
- [ ] You don't have time to monitor

---

## Title Strategies to Test

### Strategy 1: Keyword-First vs Brand-First

**Version A (Keyword-First)**:
"Running Shoes Mens Lightweight - Nike Air Zoom Pegasus 40 Black"

**Version B (Brand-First)**:
"Nike Air Zoom Pegasus 40 - Mens Lightweight Running Shoes Black"

**Why test**: Some categories favor keyword-leading (commodity products). Others favor brand-leading (recognized brands).

### Strategy 2: Short vs Long Titles

**Version A (Short - 70 characters)**:
"Nike Air Zoom Pegasus 40 Mens Running Shoes"

**Version B (Long - 150 characters)**:
"Nike Air Zoom Pegasus 40 - Mens Lightweight Running Shoes Black Mesh Breathable Size 10"

**Why test**: Longer titles match more searches but may dilute relevance. Shorter titles are more focused but match fewer queries.

### Strategy 3: Attribute Emphasis

**Version A (Feature Focus)**:
"Bluetooth Noise Cancelling Headphones - Sony WH-1000XM5 Wireless"

**Version B (Benefit Focus)**:
"Sony WH-1000XM5 - Block Out Distractions Wireless Headphones"

**Why test**: Some audiences search for features, others search for outcomes.

### Strategy 4: Include/Exclude Specific Attributes

**Version A (Include Size)**:
"Mens Running Shoes Size 10 - Nike Air Zoom Pegasus 40 Black"

**Version B (Exclude Size)**:
"Mens Running Shoes - Nike Air Zoom Pegasus 40 Black"

**Why test**: Including size may capture long-tail searches but reduces overall match volume.

---

## Implementation Steps

### Step 1: Export Your Base Feed

1. Go to Merchant Center
2. Download your current product feed
3. Save as your "Base Feed"

### Step 2: Create Title Variations

Using your feed tool (DataFeedWatch, Channable, etc.) or spreadsheet:

**For Test 1 (Keyword-First):**
```
new_title = [primary_keyword] + " - " + [brand] + " " + [product_name] + " " + [color]
```

**For Test 2 (Long Titles):**
```
new_title = [brand] + " " + [product_name] + " - " + [category] + " " + [color] + " " + [material] + " " + [size]
```

Apply the formula to all products in the test feed.

### Step 3: Upload Feeds to Merchant Center

1. Go to Merchant Center   Products   Feeds
2. Create new supplemental feed OR new primary feed
3. Upload your modified feed
4. Name clearly: "Feed Test - Keyword First" or similar

**Option A: Supplemental Feeds**
- Updates only the title attribute
- Keeps all other attributes from primary feed
- Easier to manage

**Option B: Separate Primary Feeds**
- Complete duplicate feeds
- More isolated testing
- Harder to manage updates

### Step 4: Create Separate Campaigns

For each feed variation:

1. Create new Shopping or PMax campaign
2. Target specific feed via inventory filter
3. Use identical settings to main campaign:
   - Same bidding strategy
   - Same budget allocation
   - Same audience signals (for PMax)
   - Same geographic targeting

### Step 5: Budget Allocation

| Campaign | % of Shopping Budget |
|----------|---------------------|
| Main Feed (Control) | 60% |
| Test Feed 1 | 20% |
| Test Feed 2 | 20% |

Or if testing 3 variations:
| Campaign | % of Shopping Budget |
|----------|---------------------|
| Variation A | 33% |
| Variation B | 33% |
| Variation C | 33% |

---

## Measurement Framework

### Primary Metrics

| Metric | What it Tells You |
|--------|-------------------|
| Impressions | Which titles Google prefers to show |
| CTR | Which titles attract more clicks |
| Conversion Rate | Which titles attract better-quality traffic |
| ROAS | Overall performance |

### Weekly Tracking

| Week | Feed | Impressions | Clicks | CTR | Conv | ROAS |
|------|------|-------------|--------|-----|------|------|
| 1 | Control | | | | | |
| 1 | Test 1 | | | | | |
| 1 | Test 2 | | | | | |
| 2 | Control | | | | | |
| 2 | Test 1 | | | | | |
| 2 | Test 2 | | | | | |

### Statistical Significance

Run tests for minimum 30 days OR until each variation has:
- 1,000+ clicks
- 50+ conversions

Before this threshold, results are not reliable.

---

## Analysis Framework

### Scenario 1: Clear Winner

**Signals:**
- One variation has 20%+ better ROAS
- AND 20%+ better CTR
- AND maintained or improved volume

**Action:**
- Migrate main feed to winning title strategy
- Shut down losing variations
- Reallocate budget to winner

### Scenario 2: Trade-Offs

**Signals:**
- One variation has better CTR but worse conversion rate
- Or better ROAS but lower volume

**Action:**
- Analyze which trade-off matters more for your goals
- If volume is constraint: choose higher-volume variant
- If efficiency is constraint: choose higher-ROAS variant
- Consider running both at different proportions

### Scenario 3: No Significant Difference

**Signals:**
- All variations within 10% of each other
- After 30+ days of testing

**Action:**
- Test was inconclusive
- Either:
  - Run longer with more budget
  - Test more different variations
  - Accept current performance and focus elsewhere

---

## Advanced: Category-Specific Testing

Different categories may respond to different strategies.

### Setup

Instead of testing across all products, segment by category:

| Category | Test Feed Title Strategy |
|----------|--------------------------|
| Running Shoes | Keyword-first |
| Dress Shoes | Brand-first |
| Sandals | Benefit-first |

### Implementation

1. Create category-specific title rules in your feed tool
2. Apply different strategies to different product types
3. Measure performance by category

---

## Common Mistakes

### Mistake 1: Not Enough Data
**Problem**: Declaring winner after 1 week and 20 conversions
**Fix**: Wait for 50+ conversions per variation minimum

### Mistake 2: Changing Multiple Variables
**Problem**: Testing title structure AND image changes simultaneously
**Fix**: Test one variable at a time

### Mistake 3: Not Controlling for Seasonality
**Problem**: Testing during holiday vs non-holiday periods
**Fix**: Compare variations running in the same time period

### Mistake 4: Stopping Too Early
**Problem**: Killing a test because Week 1 looks bad
**Fix**: Learning period exists. Wait 2-4 weeks minimum.

### Mistake 5: Not Applying Learnings
**Problem**: Finding a winner but not updating main feed
**Fix**: After confirming winner, migrate your primary feed

---

## Checklist

### Setup
- [ ] Base feed exported and saved
- [ ] Title variations created (2-3 versions)
- [ ] Feeds uploaded to Merchant Center
- [ ] Separate campaigns created for each feed
- [ ] Budget allocated proportionally
- [ ] Bidding strategies matched across tests

### Running
- [ ] Weekly data tracked in spreadsheet
- [ ] No other major changes during test period
- [ ] Monitoring for policy violations

### Analysis
- [ ] Waited for minimum data threshold
- [ ] Analyzed primary metrics
- [ ] Clear winner identified OR trade-off decision made

### Implementation
- [ ] Winning strategy applied to main feed
- [ ] Losing variations shut down
- [ ] Budget reallocated

---

## Sample Title Formulas

### Apparel
```
[Brand] [Product Name] [Gender] [Color] [Size] - [Material] [Style]
Example: "Nike Air Max 90 Mens White Size 10 - Leather Sneakers"
```

### Electronics
```
[Brand] [Model] [Key Spec] - [Product Type] [Compatibility]
Example: "Sony WH-1000XM5 Noise Cancelling - Wireless Headphones Bluetooth 5.0"
```

### Home Goods
```
[Brand] [Product Name] [Dimensions] - [Material] [Room/Use]
Example: "West Elm Coffee Table 48 inch - Walnut Wood Living Room"
```

### Beauty
```
[Brand] [Product Name] [Benefit] [Size] - [Skin Type/Concern]
Example: "CeraVe Moisturizing Cream Hydrating 16oz - Dry Skin Relief"
```

---

*From: The Google Ads Scaling Roadmap*
*F.S.S. Protocol: Foundation, Structure, Scale + Operate*


# Search Term Mining Protocol

**Purpose**: Systematic process for extracting expansion opportunities and optimization insights from search terms data.

---

## Overview

Your search terms report is a goldmine. It shows you:
- What people actually search before clicking your ads
- Which searches convert
- Which searches waste money
- New keyword opportunities you're missing
- Negative keyword candidates

Most advertisers glance at this report occasionally. You're going to mine it systematically.

---

## When to Run This Protocol

| Frequency | Action |
|-----------|--------|
| Weekly | Quick negative keyword pass (15 min) |
| Monthly | Full mining protocol (60-90 min) |
| Quarterly | Deep strategic review (2-3 hours) |

---

## Step 1: Export Search Terms Data

### How to Export

1. Go to Google Ads
2. Select relevant campaigns (or all)
3. Go to Keywords   Search Terms
4. Set date range: Last 30 days (or 90 for monthly review)
5. Download as CSV

### Columns to Include

- Search term
- Campaign
- Ad group
- Impressions
- Clicks
- CTR
- Cost
- Conversions
- Conv. rate
- Cost/conv.
- Conv. value
- ROAS (calculate if not shown)

---

## Step 2: Quick Negative Pass (Weekly)

### Filter 1: Zero Conversions with High Spend

**Filter**: Conversions = 0 AND Cost   [Your target CPA]

These are terms that have spent money but never converted.

**Action**:
- Review each term
- If clearly irrelevant → Add as negative (phrase match)
- If potentially relevant → Flag for 30-day monitoring
- If relevant but expensive → Consider landing page issue

### Filter 2: Obvious Irrelevance

Scan for terms that should never have triggered:
- Competitor brand names (add as negatives if you don't want them)
- "Free" searches (unless you offer free trials)
- "DIY" or "how to make" (if you sell ready-made)
- Job searches ("careers at [competitor]")
- Unrelated products

**Action**: Add to negative keyword list immediately

### Filter 3: Low Intent Modifiers

Terms with modifiers that indicate wrong intent:
- Reviews, complaints, problems
- Return, refund, cancel
- Cheap, discount, coupon (if you're premium)
- Used, secondhand

**Action**: Evaluate if these convert. If not, add as negatives.

---

## Step 3: Full Mining Protocol (Monthly)

### Analysis 1: Top Converters

**Filter**: Sort by Conversions (high to low)

**Questions to answer**:
1. Are your top converting terms covered by exact match keywords?
2. Are there high-volume converters you could expand?
3. Do any terms suggest new product opportunities?

**Actions**:
| Finding | Action |
|---------|--------|
| High-converting term not in keyword list | Add as exact match keyword |
| High-converting long-tail term | Consider dedicated ad group |
| Pattern across multiple terms | Create new campaign targeting pattern |

### Analysis 2: Efficiency Outliers

**Filter**: Sort by ROAS (high to low)

Your highest ROAS terms reveal what's working best.

**Questions to answer**:
1. What do top ROAS terms have in common?
2. Are there patterns in phrasing, length, or specificity?
3. Can you find more terms like these?

**Actions**:
| Finding | Action |
|---------|--------|
| Specific product terms outperform generic | Expand product-specific keywords |
| Long-tail terms have higher ROAS | Build out long-tail ad groups |
| Certain modifiers correlate with ROAS | Target those modifiers explicitly |

### Analysis 3: Volume Opportunities

**Filter**: Sort by Impressions (high to low)

High impression terms that you're capturing show where you have presence.

**Questions to answer**:
1. Are you getting your share of high-volume terms?
2. Which high-volume terms have low CTR? (ad relevance issue)
3. Which high-volume terms have low conversion? (landing page issue)

**Actions**:
| Finding | Action |
|---------|--------|
| High volume, low CTR | Create more relevant ad copy |
| High volume, low conversion | Test different landing pages |
| High volume, good performance | Increase bid/budget share |

### Analysis 4: New Opportunity Discovery

**Filter**: Search for patterns you haven't targeted

Look for:
- New product categories mentioned
- Competitor names (opportunity for competitor campaigns)
- Problem-based searches (opportunity for advertorials)
- Comparison searches ("X vs Y")
- Location-based searches (if relevant)

**Actions**:
| Finding | Action |
|---------|--------|
| Competitor name appears | Consider competitor campaign |
| Problem-based search | Consider advertorial landing page |
| New category/product type | Research volume, consider expansion |

---

## Step 4: Negative Keyword Organization

### Negative Keyword List Structure

Create organized lists in Google Ads:

| List Name | Contents | Apply To |
|-----------|----------|----------|
| Universal Negatives | Terms to block everywhere | All campaigns |
| Competitor Names | (For branded campaigns) | Branded only |
| Low-Intent Modifiers | free, DIY, how to make | Prospecting |
| Wrong Products | Products you don't sell | All campaigns |
| Performance-Based | Terms proven not to convert | Specific campaigns |

### Adding Negatives Properly

**Match type guidance**:
- Exact match negative: Block only this specific term
- Phrase match negative: Block this term and close variations
- Broad match negative: Block any search containing these words

**Default recommendation**: Use phrase match negatives unless you have specific reason for exact or broad.

---

## Step 5: Expansion Implementation

### Creating New Keywords

For high-performing search terms not in your keyword list:

1. Add term as exact match first
2. If volume is significant, also add phrase match
3. Create ad copy that matches the term
4. Monitor for 30 days before evaluating

### Creating New Ad Groups

When you find a cluster of related high-performing terms:

1. Create new ad group with tight theme
2. Add all related terms as keywords
3. Write specific ad copy for the theme
4. Consider specific landing page

### Creating New Campaigns

When you discover a new strategic opportunity:

1. Competitor terms → Competitor campaign
2. Informational terms → Advertorial campaign
3. New product category → Separate category campaign

---

## Monthly Mining Template

Use this checklist each month:

### Week 1: Data Export and Quick Pass
- [ ] Export last 30 days search terms
- [ ] Run zero-conversion/high-spend filter
- [ ] Add obvious negatives
- [ ] Flag terms for monitoring

### Week 2: Deep Analysis
- [ ] Analyze top converters
- [ ] Analyze efficiency outliers
- [ ] Analyze volume opportunities
- [ ] Identify new opportunities

### Week 3: Implementation
- [ ] Add new keywords from top converters
- [ ] Create new ad groups if patterns found
- [ ] Update negative keyword lists
- [ ] Note opportunities for new campaigns

### Week 4: Monitoring
- [ ] Check performance of new keywords
- [ ] Verify negatives aren't blocking good traffic
- [ ] Document learnings for next month

---

## Metrics to Track

### Monthly Mining Results

| Month | Terms Reviewed | Negatives Added | Keywords Added | New Ad Groups | ROAS Change |
|-------|----------------|-----------------|----------------|---------------|-------------|
| | | | | | |
| | | | | | |
| | | | | | |

### Impact Tracking

After 30 days, review:
- Wasted spend reduction from new negatives
- Conversion lift from new keywords
- Overall ROAS improvement

---

## Common Patterns to Watch

### Pattern 1: Product Modifiers
"[product] for [audience]" - e.g., "running shoes for flat feet"
**Action**: Create ad groups for each modifier if volume exists

### Pattern 2: Comparison Searches
"[product] vs [product]"
**Action**: Create comparison landing pages

### Pattern 3: Problem Searches
"how to [fix problem]" - leads to informational intent
**Action**: Consider advertorial campaigns

### Pattern 4: Location Searches
"[product] near me" or "[product] [city]"
**Action**: Ensure location targeting is optimized

### Pattern 5: Seasonal Terms
"[product] for [season/occasion]"
**Action**: Create seasonal campaigns or ad groups

---

*From: The Google Ads Scaling Roadmap*
*F.S.S. Protocol: Foundation, Structure, Scale + Operate*


# Video Training Script Outlines

**Purpose**: Outline for each module if you want to create video training or walkthrough content.

---

## How to Use These Outlines

Each outline provides:
1. Video length estimate
2. Key points to cover
3. Screen share opportunities
4. Talking points
5. Transition to next module

Use these as guides for recording video versions of each module.

---

## Module 1: The Scaling Mindset Shift

**Length**: 12-15 minutes

### Opening (2 min)
- Hook: "What if I told you your 10x ROAS is actually costing you money?"
- Preview: We're going to reframe how you think about Google Ads success

### Section 1: The Math That Changes Everything (4 min)
**Screen share**: Spreadsheet showing two scenarios
- Walk through 10x at $10k vs 4x at $80k
- Show the profit calculation step by step
- "Efficiency percentages feel good. They don't pay rent."

### Section 2: What Winners Optimize For (3 min)
**Talking head**:
- Total profit dollars, not ROAS percentage
- Dashboard should show contribution margin, not just ROAS
- "Your new North Star metric is..."

### Section 3: The Cost of Waiting (3 min)
**Screen share**: Competitor growth visualization
- Every month you wait, competitors compound their advantage
- Customer lists grow
- Algorithm data accumulates
- Show how the gap widens over time

### Closing (2 min)
- Recap: Profit   efficiency, scale   perfection
- Preview Module 2: "Before we scale, we need to fix the foundation..."

---

## Module 2: Foundation Diagnostics

**Length**: 20-25 minutes

### Opening (2 min)
- Hook: "80% of accounts we audit have broken tracking. Let's make sure you're not one of them."
- Overview of the 5 foundation areas

### Section 1: Conversion Tracking Audit (6 min)
**Screen share**: Google Ads conversion settings
- Walk through each of the 5 tracking checks
- Show where to find settings
- Demonstrate the test purchase method
- "If any of these fail, fix them before anything else."

### Section 2: Merchant Center Quality (4 min)
**Screen share**: Merchant Center Store Quality
- Show the four quality areas
- Walk through recommendations
- "Google tells you exactly what to fix. Follow the instructions."

### Section 3: Customer Lists Setup (4 min)
**Screen share**: Google Ads Audience Manager
- How to upload lists
- Which lists to create
- Match rate expectations
- How to use for exclusions and signals

### Section 4: Branded vs Prospecting Segmentation (5 min)
**Screen share**: Campaign structure example
- Why mixing corrupts your data
- How to properly segment
- Adding brand negatives - show the process
- "This is where 80% of accounts go wrong."

### Closing (2 min)
- Recap: Foundation checklist
- Preview Module 3: "Now that the foundation is solid, let's build the structure..."

---

## Module 3: The Four-Pocket Architecture

**Length**: 18-22 minutes

### Opening (2 min)
- Hook: "Every scalable account we've seen has this exact structure."
- Preview the four pockets

### Section 1: Overview (3 min)
**Visual**: Four-pocket diagram
- Branded Search
- Prospecting Search
- Branded Shopping
- Prospecting Shopping/PMax
- How they work together as a funnel

### Section 2: Branded Pockets (4 min)
**Screen share**: Campaign setup
- Branded Search setup and strategy
- Branded Shopping setup
- Why manual CPC works for branded
- What to watch: Impression share, competitor presence

### Section 3: Prospecting Pockets (6 min)
**Screen share**: Campaign setup
- Prospecting Search setup
- Prospecting Shopping/PMax setup
- Different economics than branded
- "This is where scale lives."

### Section 4: How They Work Together (4 min)
**Visual**: Funnel diagram
- Traffic flow from prospecting to branded
- Budget allocation principles
- "Brands stuck at $30k are 80% branded. Brands at $300k are 60% prospecting."

### Closing (2 min)
- Recap: Four pockets, different strategies each
- Preview Module 4: "The performance of your prospecting pockets depends on one thing: your feed..."

---

## Module 4: Product Feed Mastery

**Length**: 22-28 minutes

### Opening (2 min)
- Hook: "Your product feed is your keyword list for Shopping. If it's weak, everything is weak."

### Section 1: Title Optimization (8 min)
**Screen share**: Feed tool or spreadsheet
- Title structure by category
- Walk through optimization examples
- Before/after comparisons
- "Front-load the keywords you want to show for."

### Section 2: Image Strategy (5 min)
**Screen share**: Product image examples
- What works vs what doesn't
- AI image generation overview
- Testing methodology
- "Google's traffic allocation tells you which image wins."

### Section 3: Attribute Completeness (5 min)
**Screen share**: Merchant Center product data
- Required vs recommended attributes
- The 99.9% rule
- Walking through attribute population
- "Every empty attribute is a missed matching opportunity."

### Section 4: Reviews and Ratings (4 min)
**Screen share**: Merchant Center setup
- Product ratings setup
- Seller ratings requirements
- Third-party aggregator options
- Impact on CTR

### Closing (2 min)
- Recap: Feed audit checklist
- Preview Module 5: "With your feed optimized, let's structure your search campaigns..."

---

## Module 5: Search Campaign Architecture

**Length**: 18-22 minutes

### Opening (2 min)
- Hook: "Bad architecture: One ad group with 100 keywords. Let me show you good architecture."

### Section 1: Ad Group Theming (5 min)
**Screen share**: Campaign structure
- Theme examples
- The 15,000 search threshold
- Bad vs good examples

### Section 2: Match Type Strategy (5 min)
**Screen share**: Keyword Planner + campaign
- When to use exact, phrase, broad
- Separation by match type
- Broad match warning: "Only when..."

### Section 3: Negative Keywords (4 min)
**Screen share**: Negative keyword lists
- Categories to block
- List organization
- Weekly review process

### Section 4: Extensions (4 min)
**Screen share**: Campaign extensions
- Walk through each extension type
- Setup demonstration
- "More extensions = more real estate = higher CTR."

### Closing (2 min)
- Recap: Structure checklist
- Preview Module 6: "Now let's talk about the thing everyone gets wrong: bidding..."

---

## Module 6: The Bidding Progression

**Length**: 20-25 minutes

### Opening (2 min)
- Hook: "Most brands jump to automated bidding too early. Here's the right progression."

### Section 1: Stage 1 - Manual CPC (4 min)
**Screen share**: Campaign bidding settings
- When to use manual
- How to calculate bids
- "Branded campaigns should stay on manual. Period."

### Section 2: Stage 2 - Maximize Clicks (4 min)
**Screen share**: Campaign settings
- When to use maximize clicks
- Setting bid caps
- Goal: Build data to threshold

### Section 3: Stage 3 - Target ROAS (8 min)
**Screen share**: tROAS calculator spreadsheet
- The 50-conversion threshold
- The 20%-below rule
- Walk through calculation
- "This feels wrong. It's not. Here's why..."

### Section 4: Common Mistakes (4 min)
**Talking head + visuals**:
- Moving to tROAS too early
- Setting tROAS too aggressively
- Changing during learning period
- Expecting immediate results

### Closing (2 min)
- Recap: Bidding decision tree
- Preview Module 7: "With structure and bidding optimized, let's add our first scaling play: competitor campaigns..."

---

## Module 7: Competitor Campaigns

**Length**: 22-28 minutes

### Opening (2 min)
- Hook: "You can legally target your competitors' customers. Most e-commerce brands don't know this exists."

### Section 1: Finding Vulnerable Competitors (5 min)
**Screen share**: Keyword Planner
- How to check competitor search volume
- The 2,000+ threshold
- Best targets: Fast-growing, social-focused

### Section 2: Search Campaign Setup (6 min)
**Screen share**: Google Ads campaign creation
- Step-by-step setup
- Keyword strategy
- Ad copy templates
- What you CAN and CANNOT say

### Section 3: PMax Audience Signals (4 min)
**Screen share**: PMax audience setup
- Using competitor URLs
- Custom segments
- Signal configuration

### Section 4: Comparison Landing Pages (5 min)
**Screen share**: Example landing pages
- Page structure walkthrough
- "20-40% conversion lift vs product pages."
- What makes a good comparison page

### Section 5: Case Study (3 min)
- Walk through the $20k/mo at 9.1x case study
- Timeline and key learnings

### Closing (2 min)
- Recap: Competitor campaign checklist
- Preview Module 8: "Now let's talk about Google's answer to Facebook ads..."

---

## Module 8: Demand Gen   YouTube

**Length**: 15-18 minutes

### Opening (2 min)
- Hook: "Demand Gen is Google's cold traffic play. Here's when to use it - and when not to."

### Section 1: When to Launch (4 min)
**Talking head**:
- Prerequisites (foundation solid, core campaigns profitable)
- When NOT to launch
- "This is top of funnel. Expect different metrics."

### Section 2: Creative Requirements (4 min)
**Screen share**: Examples
- Video format requirements
- Image specifications
- Headlines and descriptions

### Section 3: Profitability Timeline (3 min)
**Visual**: Month-by-month expectations
- Month 1: Expect break-even
- Month 2: View-through conversions start
- Month 3+: Profitability kicks in

### Section 4: Integration (3 min)
**Visual**: Funnel diagram
- How Demand Gen feeds remarketing
- Attribution approach
- Blended ROAS measurement

### Closing (2 min)
- Recap: Demand Gen decision checklist
- Preview Module 9: "There's an even cheaper way to reach cold traffic..."

---

## Module 9: Informational Search + Advertorials

**Length**: 22-28 minutes

### Opening (2 min)
- Hook: "What if you could get 10x the traffic at 10% of the cost?"

### Section 1: Finding Cheap Keywords (6 min)
**Screen share**: Keyword Planner
- Product vs informational keywords
- Cost comparison examples
- Research process demonstration
- "Your competitors aren't touching this traffic."

### Section 2: Advertorial Formats (6 min)
**Screen share**: Example advertorials
- Problem-Solution format
- Myth-Busting format
- Comparison format
- How-To format
- Walk through one example in detail

### Section 3: Landing Page Structure (5 min)
**Screen share**: Page walkthrough
- Section by section breakdown
- Product introduction that feels natural
- CTA placement

### Section 4: The Remarketing Sequence (4 min)
**Visual**: Traffic flow
- Informational → Advertorial → Remarketing → Conversion
- How the sequence works
- Attribution considerations

### Closing (2 min)
- Recap: Advertorial implementation checklist
- Preview Module 10: "Let's cover the advanced plays that separate good from great..."

---

## Module 10: Advanced Scaling Plays

**Length**: 18-22 minutes

### Opening (2 min)
- Hook: "These are the tactics most brands never get to. You're about to."

### Section 1: Feed Duplication (5 min)
**Screen share**: Feed tool
- What it is
- When to use it
- Implementation steps
- Measurement framework

### Section 2: Alternative Landing Pages (5 min)
**Screen share**: Examples
- Listicles
- Us vs Them
- Reviews
- Quizzes
- Expected conversion lift

### Section 3: Search Term Mining (4 min)
**Screen share**: Search terms report
- Mining process overview
- What to look for
- Monthly protocol

### Section 4: When to Break Out Campaigns (3 min)
**Talking head**:
- The 50-conversion threshold
- When to segment
- When to consolidate

### Closing (3 min)
- Recap: The complete F.S.S. Protocol
- Action plan: What to do this week
- "The system is proven. The execution is up to you."

---

## Recording Tips

### Equipment
- Good microphone (audio quality   video quality)
- Clean background or virtual background
- Adequate lighting
- Screen recording software (Loom, OBS, Camtasia)

### Best Practices
- Keep videos under 30 minutes (split if needed)
- Include chapter markers
- Use zoom/highlight for important screen elements
- Speak conversationally, not scripted
- Include action items at end of each video

### Post-Production
- Add intro/outro branding
- Include captions
- Create chapter timestamps for description
- Export at 1080p minimum

---

*From: The Google Ads Scaling Roadmap*
*F.S.S. Protocol: Foundation, Structure, Scale + Operate*


# 10 Prospecting Myths That Keep You Stuck at $20k/Month

## Debunked With Proof From 160+ Accounts Scaled Across $20K-500K/Month Spend

Every one of these myths cost us money before we figured it out. After managing 160+ e-commerce accounts, we've seen each one hold brands back from scaling. Here's what's actually true - with the data to prove it.

---

## Myth 1: "Google Is Just for Remarketing"

**The belief**: Google Ads only works for capturing people who already know your brand. Real prospecting happens on Meta.

**The reality**: A brand we work with went from $21k/mo to $336k/mo in Google spend over 8 months. The majority of that budget goes to cold traffic. Profitably.

Google's algorithm has gotten dramatically better at finding new customers through Shopping, PMax, and search. The brands treating Google as "just remarketing" are leaving their biggest scaling opportunity untouched.

**The proof**: $336k/mo, majority cold traffic, same products and market. Another brand went from $0 Google presence to $6M/month in 90 days using the F.S.S. Protocol. Google isn't a support channel - it's a primary acquisition engine.

---

## Myth 2: "You Need a Huge Budget to Scale"

**The belief**: Only brands with $100k+/month budgets can scale on Google. Small budgets can't compete.

**The reality**: Structure matters more than budget. A $1.5M brand we work with outranks competitors with 10x their budget - not because of budget, but because their feed quality and landing page relevance scores are higher.

Google's algorithm rewards data quality over spend size. A well-structured $20k/month account with clean tracking, optimized feeds, and proper segmentation will outperform a poorly structured $100k account every time.

**The proof**: We've watched this happen dozens of times across 160+ accounts. The algorithm rewards relevance. Better structure = better Quality Scores = lower CPCs = more impressions per dollar. Budget amplifies structure - it doesn't replace it.

---

## Myth 3: "Higher ROAS = Better Performance"

**The belief**: 10x ROAS means you're crushing it. The higher the ROAS, the better your Google Ads are working.

**The reality**: This is the most expensive misconception in e-commerce.

Do the math:
- 10x ROAS at $10k spend = $100k revenue, roughly $40k profit
- 4x ROAS at $80k spend = $320k revenue, roughly $80k profit

Double the profit. "Worse" ROAS.

The brand at 10x and $10k isn't winning. They're leaving $480k per year in missed profit on the table because they confused efficiency with growth.

**The proof**: The $21k→$336k/mo brand ran at lower ROAS numbers than before - but generated massively more total profit. ROAS is an input metric. Total contribution margin is the output metric that actually matters.

---

## Myth 4: "Broad Match Wastes Money"

**The belief**: Broad match keywords are a budget black hole. Only exact and phrase match give you control.

**The reality**: Broad match works - but only under specific conditions.

You need three things in place before broad match makes sense:
1. 50+ conversions per month per campaign (algorithm needs data)
2. Smart bidding active (tROAS or tCPA to control costs)
3. Robust negative keyword list (prevent obvious waste)

Without these safeguards, yes, broad match burns money. With them, it finds profitable search queries you'd never discover with exact match alone. The algorithm uses your conversion data to identify patterns and match to high-intent searches you haven't thought of.

**The proof**: Brands that add broad match after meeting all three thresholds consistently find 20-40% more converting queries. The ones that launch broad match on day one with no safeguards - those are the horror stories you read on Reddit.

---

## Myth 5: "Ad Strength Scores Matter"

**The belief**: Google says "Excellent" Ad Strength performs better. You should optimize until every ad hits Excellent.

**The reality**: We tested "Excellent" Ad Strength ads against "Poor" rated ads across 30+ accounts. Zero correlation with conversion performance.

Ad Strength measures input variety (how many headlines and descriptions you provided), not output quality (which combinations actually convert). A "Poor" rated ad with a compelling value proposition outperforms an "Excellent" rated ad with generic copy every time.

**The proof**: 30+ A/B tests. Zero correlation between Ad Strength rating and conversion rate, CPA, or ROAS. The brands obsessing over Ad Strength scores are optimizing for Google's input checklist instead of their own bottom line.

---

## Myth 6: "PMax Replaces All Campaigns"

**The belief**: Performance Max is Google's future. Just put everything in PMax and let the algorithm do its thing.

**The reality**: PMax is one pocket in a four-pocket structure. It does not replace branded search, prospecting search, or dedicated Shopping campaigns.

Without the four-pocket separation:
- You can't see branded vs prospecting performance separately
- You can't control budget allocation between traffic types
- You can't set different bidding targets for different intents
- You can't identify which pocket is working and which is dragging

Accounts that consolidate everything into PMax lose visibility and control. They can't diagnose problems because all data is blended.

**The proof**: The brands scaling to $100k-336k/month all run the four-pocket structure: Branded Search, Prospecting Search, Branded Shopping, Prospecting PMax. Each pocket has different economics, different strategies, and different expectations. Blending them creates confusion.

---

## Myth 7: "Just Increase Budget and ROAS Will Hold"

**The belief**: If you're at 8x ROAS at $20k, just push to $40k and you'll stay at 8x.

**The reality**: Doubling budget overnight triggers algorithm disruption. Every major change resets the learning period. The algorithm needs time to recalibrate to new spend levels.

What actually works: 10-20% weekly budget increases. Gradual scaling gives the algorithm time to find new profitable auctions at each budget level.

**The proof**: One brand followed the pacing protocol and went from $15k to $85k/month without a single week below profitable. Another brand tried to jump from $25k to $75k overnight - ROAS cratered three times before they switched to gradual pacing.

And beyond pacing, you need the bidding progression. Set tROAS 20% below your profitable target to give the algorithm room to explore. One brand set tROAS at exactly breakeven. Volume choked. Dropped it 20%. Volume tripled. Same margins.

---

## Myth 8: "Search Is Too Competitive for Prospecting"

**The belief**: Product keywords are so expensive on Google that prospecting through search doesn't make economic sense. CPCs of $5-15 kill profitability.

**The reality**: You're targeting the wrong keywords. Product keywords are expensive. Informational keywords are 10-100x cheaper.

- "Buy running shoes" = $5-15 CPC
- "Best running shoes for flat feet" = $2-5 CPC
- "How to fix knee pain when running" = $0.50-1.50 CPC

Informational keywords have 10-100x more volume too. Your competitors aren't touching this traffic because they don't know how to convert it. The answer: advertorial landing pages that warm cold traffic before the product pitch.

**The proof**: Brands using informational search with advertorial landing pages report CPCs 40-80% cheaper than product keywords, 10-100x more available volume, and conversion rates 20-40% higher than standard product pages for cold audiences.

---

## Myth 9: "You Can't Target Competitors on Google"

**The belief**: Bidding on competitor brand names is against Google's policies or doesn't work.

**The reality**: Targeting competitor brand names in Google Ads is 100% legal and 100% compliant. SaaS companies have done it for years. You just can't use their trademarks in your ad copy or make false claims.

The play: Find competitors with 2,000+ monthly branded searches, build search and PMax campaigns around their brand names, and create comparison landing pages showing your products side-by-side.

**The proof**: One brand launched competitor campaigns targeting three brands with weak Google presence. Result: $20k+/month in pure incremental revenue at 9.1x ROAS within 30 days. Every dollar was from customers who would have gone to competitors. The campaigns ran for 6 months without optimization beyond negative keyword updates.

---

## Myth 10: "Wait Until ROAS Is Perfect Before Scaling"

**The belief**: Get your ROAS to a perfect number, then scale. Don't push budget until efficiency is locked in.

**The reality**: Waiting is not risk-free. Waiting has a cost.

Every month you stay at $10-30k/month:
- Competitors capture the customers you're leaving behind
- They build bigger customer lists (better audience signals)
- They accumulate more conversion data (better algorithm training)
- Their future scaling becomes easier while yours becomes harder

The gap compounds. The brand at $100k/month this quarter has better data, better signals, and better algorithm performance than you will when you finally decide to scale next quarter.

**The proof**: The brand that went $21k to $336k/mo didn't wait for perfect ROAS. They accepted lower efficiency (4-8x vs 10x+) in exchange for massively more total profit. $40k/month profit at 10x became $80k/month profit at 4x with higher spend. Waiting for "perfect ROAS" would have cost them $480k/year in missed profit.

---

## The Pattern

All 10 myths share the same root cause: optimizing for the wrong metric.

- Chasing ROAS percentage instead of total profit
- Chasing Ad Strength instead of conversion performance
- Chasing control instead of data density
- Chasing perfection instead of progress

The F.S.S. Protocol exists because these myths kept brands stuck at $20-30k/month for years. Once you understand what Google's algorithm actually rewards - data quality, data density, and gradual scaling - the path to $100k+ becomes systematic.

Not easy. But systematic.

---

*Based on scaling 160+ e-commerce accounts across $20K-500K/month spend. Every myth debunked here cost real brands real money before we figured it out.*


# Multi-Market Launch Checklist

## 50-Point Checklist for Launching Google Ads in a New Country

Launching in a new market is not "copy your US campaigns and change the currency." Every market has different legal requirements, payment preferences, shipping expectations, and consumer behavior. Skip any of these and you'll burn budget educating yourself the expensive way.

This checklist covers everything from legal compliance to ongoing operations. Complete each section in order - they build on each other.

---

## How to Use This Checklist

1. Pick your target market from the Tier Reference below
2. Work through all 7 categories sequentially
3. Check off items only when they're actually verified (not "I think this is done")
4. Use the Per-Market Configuration Template at the end to document your setup
5. Don't launch campaigns until you've completed at minimum Categories 1-5

### Market Tier Reference

| Tier | Markets | Characteristics |
|------|---------|----------------|
| **Tier 1** | US, UK, Germany, France | High volume, English or major EU language, strong Google Shopping presence |
| **Tier 2** | Italy, Spain, Netherlands, Canada, Australia | Medium volume, good Shopping support, moderate competition |
| **Tier 3** | Austria, Belgium, Sweden, Norway, Denmark | Lower volume, often shares language with Tier 1 market (e.g., AT-de shares German with DE-de) |

**Start with Tier 1 markets.** Each additional Tier 1 market adds roughly 15-25% of your domestic revenue potential. Tier 2 adds 5-15%. Tier 3 adds 2-8%.

---

## Category 1: Legal   Compliance (5 Items)

These are non-negotiable. Get any of these wrong and Google will suspend your Merchant Center account - or worse, you'll face regulatory fines.

| # | Item | Details | Verified? |
|---|------|---------|-----------|
| 1 | **VAT/Tax registration** | Register for VAT in each EU market where you sell (or check if you meet the threshold). US-only brands entering the EU: you must charge and collect VAT. | [ ] |
| 2 | **Consumer protection compliance** | EU markets require 14-day cooling-off period for online purchases. UK requires the same post-Brexit. Display this clearly on your site. | [ ] |
| 3 | **GDPR/Privacy compliance** | Cookie consent banner required for all EU/UK traffic. Privacy policy must be available in local language. No tracking before consent. | [ ] |
| 4 | **Product compliance   labeling** | Certain product categories (cosmetics, electronics, food) have market-specific labeling and certification requirements. Check before listing. | [ ] |
| 5 | **Terms and conditions localized** | Returns policy, terms of sale, and privacy policy must be accessible in the local language. Google Translate is not sufficient. | [ ] |

**Red flag**: If you can't check off items 1-3, stop here. Launching ads without legal compliance puts your entire account at risk.

---

## Category 2: Payment Infrastructure (5 Items)

Payment preferences vary dramatically by market. In Germany, 50%+ of online shoppers prefer invoice payment (Klarna, PayPal). In the Netherlands, iDEAL handles 60%+ of e-commerce transactions. Offering only credit card checkout in these markets kills your conversion rate.

| # | Item | Details | Verified? |
|---|------|---------|-----------|
| 6 | **Local payment methods enabled** | Research and enable the top 2-3 payment methods per market (see reference table below) | [ ] |
| 7 | **Currency display correct** | Prices must display in local currency. EUR for Eurozone, GBP for UK, SEK for Sweden, etc. | [ ] |
| 8 | **Currency conversion tested** | Verify prices convert correctly and margins hold after currency conversion + payment processing fees | [ ] |
| 9 | **Payment page language matches** | Checkout flow must be in the same language as the rest of the site. Mixed-language checkout kills trust. | [ ] |
| 10 | **Tax display format correct** | EU: prices typically include VAT (show "inc. VAT"). US: prices typically exclude sales tax. Display what's standard for the market. | [ ] |

### Payment Method Reference

| Market | #1 Method | #2 Method | #3 Method | Credit Card Share |
|--------|-----------|-----------|-----------|-------------------|
| US | Credit/Debit Card | PayPal | Apple Pay/Google Pay | 65%+ |
| UK | Credit/Debit Card | PayPal | Klarna | 55%+ |
| Germany | PayPal | Invoice (Klarna) | SEPA Direct Debit | 25-30% |
| France | Credit Card (Carte Bancaire) | PayPal | Apple Pay | 55%+ |
| Netherlands | iDEAL | Credit Card | Bancontact | 15-20% |
| Italy | Credit/Debit Card | PayPal | PostePay | 40%+ |
| Spain | Credit/Debit Card | PayPal | Bizum | 50%+ |
| Australia | Credit/Debit Card | PayPal | Afterpay | 60%+ |
| Canada | Credit/Debit Card | PayPal | Interac | 55%+ |

**The math**: If 50% of German shoppers prefer invoice payment and you don't offer it, you're cutting your addressable market in half before you spend a single euro on ads.

---

## Category 3: Shipping   Logistics (5 Items)

Shipping expectations vary by market and directly impact conversion rate. German shoppers expect free shipping over 30 EUR. UK shoppers expect 2-3 day delivery as standard. Australian shoppers are used to longer waits but expect transparent tracking.

| # | Item | Details | Verified? |
|---|------|---------|-----------|
| 11 | **Shipping rates configured** | Set up market-specific shipping rates. Account for carrier costs, duties, and handling fees. | [ ] |
| 12 | **Delivery timeframes accurate** | Display realistic delivery windows per market. Overpromising destroys repeat purchase rate. | [ ] |
| 13 | **Returns process established** | Local returns address or return shipping labels available. EU law requires you to accept returns within 14 days. | [ ] |
| 14 | **Duties   import fees clarified** | DDP (Delivered Duty Paid) vs DAP (Delivered At Place). If the customer gets hit with unexpected duties at delivery, you lose that customer permanently. | [ ] |
| 15 | **Free shipping threshold set** | Set a market-appropriate free shipping threshold. US: typically $50-75. UK: 30-50 GBP. Germany: 29-49 EUR. France: 30-50 EUR. | [ ] |

### Delivery Expectation Reference

| Market | Standard Expectation | Express Expectation | Free Shipping Threshold (typical) |
|--------|---------------------|--------------------|------------------------------------|
| US | 5-7 business days | 2-3 business days | $50-75 |
| UK | 3-5 business days | Next day | 30-50 GBP |
| Germany | 2-4 business days | Next day | 29-49 EUR |
| France | 3-5 business days | 2 business days | 30-50 EUR |
| Australia | 5-10 business days | 2-4 business days | 80-100 AUD |

---

## Category 4: Feed   Product Data (10 Items)

Your product feed is the single most important asset for Shopping campaigns and PMax in a new market. A poorly localized feed means your products show for wrong queries, display wrong attributes, or get disapproved entirely.

| # | Item | Details | Verified? |
|---|------|---------|-----------|
| 16 | **Market-specific Merchant Center account** | Create a separate Merchant Center sub-account per market, or use multi-country feeds within one account. Either works - pick one and be consistent. | [ ] |
| 17 | **Product titles in local language** | Titles must be in the market's language. "Red Running Shoes" becomes "Chaussures de Course Rouges" for FR-fr. Do not rely on auto-translation. | [ ] |
| 18 | **Product descriptions in local language** | Full descriptions translated and adapted (not just translated - adapted to local buying language and conventions). | [ ] |
| 19 | **Local keyword research completed** | Run keyword research in the target language. "Sneakers" in US-en is "Turnschuhe" in DE-de and "Baskets" in FR-fr. Volume differs dramatically. | [ ] |
| 20 | **Prices in local currency** | Feed prices must match your website prices in local currency. Mismatches cause disapprovals. | [ ] |
| 21 | **Local sizing system used** | US sizes (8, 9, 10) differ from EU sizes (41, 42, 43) and UK sizes (7, 8, 9). Feed must match what's shown on your product pages. | [ ] |
| 22 | **Shipping weight in local units** | Kilograms for EU/UK markets. Pounds for US. Grams for small items in any market. | [ ] |
| 23 | **Google Product Category localized** | Use the correct Google taxonomy for the target market. Categories may differ slightly between markets. | [ ] |
| 24 | **Custom labels strategy applied** | Set custom_label_0 through custom_label_4 for the new market. At minimum: price tier, margin tier, and seasonality labels. | [ ] |
| 25 | **Feed quality score validated** | Run a quality check on the new market feed before submitting to GMC. Target 95+ on the quality score. Zero critical disapprovals. | [ ] |

### Title Localization Examples

| Product | US-en | UK-en | DE-de | FR-fr | IT-it |
|---------|-------|-------|-------|-------|-------|
| Running shoes | Men's Running Shoes | Men's Running Trainers | Herren Laufschuhe | Chaussures de Course Homme | Scarpe da Corsa Uomo |
| Moisturizer | Daily Face Moisturizer | Daily Face Moisturiser | Tages Gesichtscreme | Creme Hydratante Visage | Crema Idratante Viso |
| Sneakers | White Leather Sneakers | White Leather Trainers | Weisse Leder Turnschuhe | Baskets Blanches en Cuir | Sneakers Bianche in Pelle |

Notice: it's not just translation. UK uses "trainers" not "sneakers." German compounds words differently. French puts adjectives after nouns. Each market has its own search behavior.

---

## Category 5: Campaign Setup (10 Items)

Don't launch all campaign types simultaneously. Start with the four-pocket structure in the new market, prove profitability, then expand.

| # | Item | Details | Verified? |
|---|------|---------|-----------|
| 26 | **Separate Google Ads account or campaign structure** | Either a dedicated account per market or clear naming conventions that separate markets (e.g., "[US-en] Brand Search", "[DE-de] Brand Search"). | [ ] |
| 27 | **Four-pocket structure created** | Branded Search, Prospecting Search, Branded Shopping, Prospecting Shopping/PMax for the new market. Start with all four. | [ ] |
| 28 | **Brand negatives applied** | Add your brand name + misspellings as negatives in prospecting campaigns for the new market. | [ ] |
| 29 | **Geo-targeting verified** | Target the correct country. Exclude other countries explicitly. Verify language targeting matches (e.g., for DE-de, target Germany + German language). | [ ] |
| 30 | **Budget set at 20-30% of domestic** | New markets start at 20-30% of your domestic market budget. Scale based on performance. | [ ] |
| 31 | **Bidding strategy set to warmup mode** | Manual CPC or Maximize Clicks for the first 4 weeks. Do not start with tROAS - you have no conversion data yet. | [ ] |
| 32 | **Ad copy in local language** | All RSA headlines and descriptions written in the target language. Not translated - written by someone who understands local buying language. | [ ] |
| 33 | **Ad extensions localized** | Sitelinks, callouts, structured snippets all in local language. Phone numbers in local format. | [ ] |
| 34 | **Competitor targets identified** | Find 3-5 competitors with 2,000+ branded monthly searches in the target market. These are often different from your US competitors. | [ ] |
| 35 | **Campaign naming convention set** | Use the format: `[Market Code] - [Campaign Type] - [Detail]`. Example: `DE-de - Prospecting Search - Category Keywords`. | [ ] |

### Budget Allocation for New Markets

| Campaign Type | % of New Market Budget | Purpose |
|---------------|----------------------|---------|
| Branded Search | 15-20% | Protect your brand in the new market |
| Branded Shopping | 20-25% | Capture branded product searches |
| Prospecting Search | 25-30% | Test keyword themes |
| Prospecting Shopping/PMax | 30-35% | Volume driver |

**Example**: If your domestic (US) budget is $50k/month and you're launching Germany at 25%, your DE-de budget is $12,500/month. Of that: $2,000 branded search, $2,800 branded shopping, $3,500 prospecting search, $4,200 prospecting PMax.

---

## Category 6: Tracking   Analytics (5 Items)

Tracking in a new market requires its own validation. Cookie consent laws in the EU mean your tracking setup works differently than in the US.

| # | Item | Details | Verified? |
|---|------|---------|-----------|
| 36 | **Conversion tracking verified** | Run the 5-point conversion tracking check (Module 2 in the Roadmap) for the new market. Verify purchase events fire correctly with local currency values. | [ ] |
| 37 | **Enhanced conversions enabled** | Set up enhanced conversions for the new market. This is critical in EU markets where cookie consent reduces standard tracking accuracy by 15-30%. | [ ] |
| 38 | **Google Consent Mode v2 implemented** | Required for EU markets. Consent Mode lets Google model conversions from users who reject cookies. Without it, you're blind to 30-40% of your conversions. | [ ] |
| 39 | **GA4 property configured** | Ensure GA4 tracks the new market correctly. Use either separate properties per market or filtered views within one property. | [ ] |
| 40 | **Attribution model consistent** | Use the same attribution model across all markets for accurate comparison. Data-driven attribution is the default and recommended setting. | [ ] |

### Consent Mode Impact Reference

| Scenario | Tracked Conversions | Modeled Conversions | Total Estimated |
|----------|--------------------|--------------------|-----------------|
| No Consent Mode | 60-70% of actual | 0% | Undercount by 30-40% |
| Consent Mode Basic | 60-70% of actual | 15-20% modeled | Undercount by 10-20% |
| Consent Mode Advanced | 60-70% of actual | 25-35% modeled | Within 5-10% of actual |

**Why this matters for bidding**: If your tracking only captures 65% of conversions, tROAS sees artificially low ROAS and restricts spend. Consent Mode fixes this by modeling the gap. Without it, your new EU market campaigns look unprofitable even when they're not.

---

## Category 7: Ongoing Operations (10 Items)

Once launched, a new market needs dedicated attention for the first 90 days. After that, it integrates into your regular optimization cadence.

| # | Item | Details | Verified? |
|---|------|---------|-----------|
| 41 | **Market-specific search terms review** | Review search terms weekly for the first 90 days. You'll discover irrelevant queries in the new language that you wouldn't catch in English. | [ ] |
| 42 | **Negative keyword list built** | Build a market-specific negative keyword list in the local language. "Gratuit" (French for free), "Kostenlos" (German for free), "Gratis" (Italian/Spanish for free). | [ ] |
| 43 | **Local seasonal calendar created** | Map out the market's key shopping events. German Winterschlussverkauf (January), French Soldes (January + July), Italian Saldi (January + July), UK Boxing Day. | [ ] |
| 44 | **Competitor monitoring set up** | Track impression share against local competitors. Run competitor auction insights report monthly. | [ ] |
| 45 | **Weekly performance review scheduled** | Add the new market to your Monday brand report review. Track it separately from domestic for the first 6 months. | [ ] |
| 46 | **Bidding transition planned** | Plan the transition from Manual CPC/Max Clicks to tROAS. Target: 50+ conversions in 30 days before switching. This may take 6-12 weeks in smaller markets. | [ ] |
| 47 | **Landing page quality assessed** | Run Core Web Vitals checks for the new market. Server location affects load time - if your server is US-based and you're targeting Germany, latency adds 200-400ms. Consider a CDN. | [ ] |
| 48 | **Feed refresh schedule set** | Match feed update frequency to your domestic cadence. Daily minimum. Hourly if inventory changes frequently. | [ ] |
| 49 | **Market performance benchmarks set** | Set benchmarks for the new market at 25% of domestic performance in month 1, 40% in month 2, 60% in month 3. Adjust based on actual data. | [ ] |
| 50 | **Expansion criteria documented** | Define what "success" looks like for this market. What ROAS and volume thresholds trigger budget increases? At what point do you add competitor campaigns or pre-sell pages? | [ ] |

---

## Market Performance Expectation Timeline

Don't expect a new market to perform like your domestic market from day one. Here's what realistic ramp-up looks like:

| Timeline | Expected Performance | Key Milestones |
|----------|---------------------|----------------|
| Month 1 | 15-25% of domestic ROAS | Tracking verified, branded campaigns profitable, first conversion data flowing |
| Month 2 | 25-40% of domestic ROAS | Prospecting campaigns finding profitable keywords, negative list growing |
| Month 3 | 40-60% of domestic ROAS | 50+ conversions/month threshold met, ready for tROAS transition |
| Month 4-6 | 60-80% of domestic ROAS | Smart bidding optimizing, competitor campaigns added, seasonal calendar active |
| Month 6-12 | 75-100% of domestic ROAS | Mature market, fully integrated into operating cadence, pre-sell pages live |

**Reality check**: Some markets never reach 100% of domestic ROAS - and that's fine. If Germany runs at 70% of your US ROAS but adds $30k/month in profit, that's $360k/year you weren't capturing before.

---

## Per-Market Configuration Template

Copy and complete this template for each new market:

```
MARKET CONFIGURATION
====================
Market Code:           _______________  (e.g., DE-de)
Country:               _______________
Language:              _______________
Currency:              _______________
Google Domain:         _______________  (e.g., google.de)

LEGAL
VAT Registration #:    _______________
Privacy Policy URL:    _______________
Returns Policy URL:    _______________
Cookie Consent:        ☐ Implemented  ☐ Not Yet

PAYMENT
Method 1:              _______________
Method 2:              _______________
Method 3:              _______________
Price Display:         ☐ Inc. Tax  ☐ Exc. Tax

SHIPPING
Carrier:               _______________
Standard Delivery:     ___ days
Express Delivery:      ___ days
Free Threshold:        _______________
DDP or DAP:            _______________

CAMPAIGNS
Budget (Monthly):      _______________
Branded Search:        $_______ (___%)
Branded Shopping:      $_______ (___%)
Prospecting Search:    $_______ (___%)
Prospecting PMax:      $_______ (___%)

TRACKING
Consent Mode:          ☐ Basic  ☐ Advanced  ☐ Not Set
Enhanced Conversions:  ☐ Enabled  ☐ Disabled
GA4 Property:          _______________

COMPETITORS (Local)
1. ________________  (_____ branded searches/mo)
2. ________________  (_____ branded searches/mo)
3. ________________  (_____ branded searches/mo)

SEASONAL EVENTS
Event 1: _____________ (Month: ___, Tier: ___)
Event 2: _____________ (Month: ___, Tier: ___)
Event 3: _____________ (Month: ___, Tier: ___)
Event 4: _____________ (Month: ___, Tier: ___)

BENCHMARKS
Month 1 Target ROAS:   ___x
Month 3 Target ROAS:   ___x
Month 6 Target ROAS:   ___x
Conv/Month for tROAS:  50+  (Estimated timeline: ___ weeks)
```

---

## Common Mistakes (And How to Avoid Them)

| Mistake | Why It Happens | What to Do Instead |
|---------|---------------|-------------------|
| Copy-pasting US campaigns into new market | Seems faster | Build new campaigns with local language, keywords, and audience signals |
| Launching with tROAS from day one | Works in US, should work everywhere | Start with Manual CPC/Max Clicks. You have zero conversion data in the new market. |
| Ignoring local payment methods | Didn't research | Check the payment reference table. 50% of German shoppers won't buy with credit card. |
| Setting domestic ROAS targets | Expecting same performance | Set targets at 25% of domestic for month 1. Increase gradually. |
| Skipping Consent Mode | Don't understand EU privacy law | Implement Consent Mode v2 before launching any EU campaign. Without it, you'll undercount conversions by 30-40%. |
| Launching all markets simultaneously | Ambitious | Launch one market, prove the model in 60-90 days, then expand to the next. |
| Using Google Translate for ad copy | Quick and cheap | Hire a native speaker or use a professional localization service. Bad translations destroy trust instantly. |

---

*This checklist is based on launching 30+ international market expansions across 6 continents. Every item exists because skipping it cost a brand real money.*


# 152-Point Feed Quality Audit

## The Self-Service Scoring System for Your Google Shopping Feed

Your product feed is the foundation of every Shopping campaign, every PMax campaign, and every product listing on Google. A feed scoring 70/152 and a feed scoring 140/152 can target the exact same keywords with the exact same budget - and the 140 will get 3-5x more impressions at 20-40% lower CPCs.

This audit lets you score your own feed using the same 152-point framework we use across 160+ e-commerce accounts. No ambiguity. No guesswork. Every point has a specific pass/fail criteria.

---

## How to Use This Audit

1. Export your product feed from Google Merchant Center (or your feed management tool)
2. Open the exported CSV/TSV in a spreadsheet
3. Work through each of the 6 categories below
4. Score each check based on the pass criteria
5. Total your score and check your Quality Tier
6. Use the Recovery Procedures section to fix failing checks

**Time required**: 2-3 hours for a full audit (first time). 45-60 minutes for subsequent audits.

**Frequency**: Run a full audit quarterly. Run a spot-check (Categories 1-2 only) monthly.

---

## Scoring Overview

| Category | Points | What It Measures |
|----------|--------|-----------------|
| 1. Title Quality | 30 | How well your titles attract clicks and match search queries |
| 2. Description Quality | 25 | Content depth, uniqueness, and keyword integration |
| 3. Attribute Completeness | 25 | Required and recommended fields filled correctly |
| 4. Image Quality | 20 | Image standards compliance and visual appeal |
| 5. Data Accuracy | 25 | Price, availability, and identifier correctness |
| 6. Feed Health | 27 | Overall structural integrity and anti-templating |
| **Total** | **152** | |

---

## Quality Tier Mapping

| Tier | Score | What It Means | What to Do |
|------|-------|---------------|------------|
| **STELLAR** | 135-152 (89%+) | Your feed is a competitive weapon. You're getting preferential treatment from the algorithm. | Maintain. Audit quarterly to prevent drift. |
| **GOOD** | 120-134 (79-88%) | Solid foundation. You're competitive but leaving some performance on the table. | Fix the lowest-scoring category first. Target STELLAR within 30 days. |
| **ACCEPTABLE** | 100-119 (66-78%) | Your feed works but you're paying more per click than you should be. Competitors with better feeds are outranking you at lower bids. | Prioritize Categories 1 and 3. These have the biggest impact on CPCs. |
| **FAIR** | 75-99 (49-65%) | Significant issues. Your feed is actively hurting campaign performance. Higher CPCs, lower impression share, and missed opportunities. | Stop scaling. Fix the feed before increasing any budget. |
| **POOR** | Below 75 ( 49%) | Your feed needs a complete overhaul. You're burning money on campaigns built on a broken foundation. | Pause prospecting campaigns. Fix the feed. Relaunch. |

---

## Category 1: Title Quality (30 Points)

Titles determine which search queries trigger your Shopping ads. They're the most impactful element of your feed.

### 1.1 Title Length (6 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| Minimum title length | 3 | 95%+ of titles exceed 100 characters | Sort by title length. Count titles under 100 chars. Divide by total. |
| Maximum title utilization | 3 | 80%+ of titles use 120-150 characters (the sweet spot) | Titles under 120 waste space. Titles over 150 get cut off. |

**Why it matters**: Google matches product titles to search queries. Longer titles (up to 150 chars) contain more searchable terms. A title of "Red Dress" matches far fewer queries than "Women's Red Midi Dress Satin A-Line Cocktail Party Evening Formal Size 8 UK."

### 1.2 Zone 1 Architecture (10 points)

Zone 1 is the first 70 characters of your title - the part that's always visible in Shopping ads. This is prime real estate.

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| Primary keyword in Zone 1 | 5 | 70%+ of products have their primary search keyword in the first 70 characters | Extract first 70 chars of each title. Check if the primary keyword appears. |
| Product type in Zone 1 | 3 | 90%+ of products have the product type word in Zone 1 | Look for the product category word (shoes, dress, supplement, etc.) in the first 70 characters. |
| Brand in title | 2 | 100% of products include the brand name in the title | Search for your brand name across all titles. Any missing = fail. |

**Zone architecture overview**:
- **Zone 1** (chars 1-70): Must contain primary keyword + product type. Always visible.
- **Zone 2** (chars 71-150): Supporting keywords, specifications, differentiators. Visible in some placements.
- **Zone 3** (chars 151+): Long-tail terms, technical specs. Only visible in product detail pages.

### 1.3 Title Structure Variety (8 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| No single structure dominates | 4 | No single title structure used in more than 15% of products | Group titles by their pattern (e.g., "Brand - Product - Color - Size"). If any pattern covers more than 15%, you're templating. |
| No duplicate titles | 4 | Zero duplicate titles within the entire feed | Sort alphabetically. Any exact matches = fail. |

**What templating looks like**: If every title follows "Brand Name Product Name Color Size," Google penalizes you for low-effort optimization. Vary your structures:
- "Women's Red Satin Cocktail Dress by [Brand] - Size 8 UK"
- "[Brand] Satin Midi Dress in Crimson Red - Evening Formal, UK Size 8"
- "Red Cocktail Dress for Women - [Brand] Satin A-Line Evening Dress (Size 8)"

Same product. Same keywords. Different structures. This signals genuine optimization rather than bulk templating.

### 1.4 Keyword Stuffing Check (6 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| No filler phrases | 3 | Zero titles contain "Best Quality," "100% Guaranteed," "Premium Authentic," or similar filler | Search for common filler phrases. Any match = deduction. |
| Natural readability | 3 | 90%+ of titles read as natural product names, not keyword lists | Read 20 random titles aloud. If any sound like a keyword dump, deduct. |

---

## Category 2: Description Quality (25 Points)

Descriptions influence Quality Score, product page relevance, and Shopping ad ranking. Google reads them even when shoppers don't.

### 2.1 Description Length (5 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| Minimum length | 3 | 90%+ of descriptions exceed 800 characters | Count characters per description. Flag any under 800. |
| Maximum length | 2 | 90%+ of descriptions stay under 1,200 characters | Descriptions over 1,200 get truncated and can trigger warnings. |

### 2.2 Content Quality (10 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| Description uniqueness | 5 | Less than 5% overlap (3-gram similarity) between any two descriptions | Compare descriptions pairwise. If two descriptions share more than 3 consecutive words in multiple places, they're too similar. |
| Not copied from manufacturer | 5 | 90%+ of descriptions differ more than 30% from the manufacturer's original description | Compare your descriptions to the product page source. If they're mostly copy-paste, you're competing with every other retailer using the same text. |

**Why uniqueness matters**: Google deduplicates content. If 50 retailers use the same manufacturer description, Google has no reason to preference your listing. Unique descriptions signal that you've invested in your product data - and Google rewards that investment with higher visibility.

### 2.3 Keyword Integration (5 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| Primary keyword present | 3 | 90%+ of descriptions contain the product's primary search keyword | Search each description for its primary keyword. |
| Secondary keywords present | 2 | 80%+ of descriptions contain at least 2 secondary keywords | Check for related search terms beyond the primary keyword. |

### 2.4 Description Structure (5 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| Template detection | 3 | No single opening pattern used in more than 20% of descriptions | Extract the first 50 characters of each description. Group by pattern. Flag if any pattern exceeds 20%. |
| No duplicate sentences | 2 | Zero descriptions contain internally repeated sentences | Scan each description for repeated phrases. |

---

## Category 3: Attribute Completeness (25 Points)

Google uses attributes to filter and match products. Missing attributes mean missed search queries and lower relevance scores.

### 3.1 Required Attributes (12 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| GTIN or MPN present | 3 | 85%+ of products have at least one product identifier | Check gtin and mpn columns. Count blanks. |
| identifier_exists correct | 2 | 100% of products have correct "yes" or "no" value matching actual GTIN/MPN presence | Cross-reference: if gtin is populated, identifier_exists should be "yes." |
| google_product_category populated | 2 | 100% of products have a Google Product Category | Check for blanks in the GPC column. |
| google_product_category leaf-level | 2 | 95%+ of products use leaf-level (most specific) categories | Check if categories end at the most specific level (e.g., "Apparel   Dresses   Cocktail Dresses" not just "Apparel"). |
| product_type populated | 2 | 100% of products have product_type | Check for blanks. |
| product_type uses correct separator | 1 | 100% use `   ` as separator (space-arrow-space) | Search for incorrect separators like `/`, `|`, or ` ` without spaces. |

### 3.2 Recommended Attributes (8 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| Color populated | 2 | 95%+ of applicable products have color values | Check color column for blanks on products that have colors. |
| Color not blocklisted | 1 | Zero products use blocklisted values: "assorted," "multi," "various," "mixed," "n/a," "none," "other," "default" | Search color column for these values. Any match = fail. |
| Size populated | 2 | 95%+ of sized products have size values | Check size column for applicable product categories. |
| Material populated | 1 | 80%+ of applicable products have material values | Textiles, footwear, jewelry, and accessories should all have material. |
| Gender populated | 1 | 90%+ of gendered products have gender values | "male," "female," or "unisex" for applicable categories. |
| Age group populated | 1 | 90%+ of products have age_group | "adult," "kids," "toddler," "infant," or "newborn." |

### 3.3 Product Highlights   Details (5 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| Product highlights present | 2 | 80%+ of products have product_highlight values | Check for blanks. |
| Highlights count | 1 | Products with highlights have 6-10 items each | Count items per product. Under 6 is insufficient. Over 10 gets truncated. |
| Product details present | 1 | 80%+ of products have product_detail values | Check for blanks. |
| Details format correct | 1 | 100% of populated product_detail fields use "Section:Attribute:Value" format with comma separation | Spot-check 20 products for correct formatting. |

---

## Category 4: Image Quality (20 Points)

Images are the first thing shoppers see in Shopping ads. Image quality directly impacts CTR - which directly impacts Quality Score - which directly impacts CPC.

### 4.1 Technical Requirements (10 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| HTTPS URLs | 2 | 100% of image_link values use HTTPS | Search for "http://" (without the s) in image_link column. |
| Image resolution sufficient | 3 | 100% of images meet Google's minimum (100x100 for non-apparel, 250x250 for apparel) | Download sample images and check dimensions. Or check GMC diagnostics. |
| No placeholder images | 3 | Zero products use placeholder, stock, or generic images | Spot-check 20 products visually. |
| Additional images present | 2 | 50%+ of products have additional_image_link values | Check for populated additional image columns. |

### 4.2 Image Quality Standards (10 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| White/clean background | 3 | 80%+ of main product images have clean backgrounds | Visual spot-check of 30 products. |
| Product fills frame | 3 | 80%+ of images show the product occupying 75%+ of the frame | Small products in large white spaces waste visual real estate. |
| No watermarks or overlays | 2 | Zero images contain watermarks, promotional text, or price overlays | Visual spot-check. Google disapproves these. |
| Consistent image style | 2 | 80%+ of images follow a consistent photography style | Compare 20 random product images. Inconsistent styles signal low-effort listings. |

---

## Category 5: Data Accuracy (25 Points)

Incorrect data causes disapprovals, policy violations, and lost trust. This category catches errors that directly block your products from showing.

### 5.1 Price Accuracy (8 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| Price format correct | 3 | 100% of prices follow "X.XX CURRENCY" format (e.g., "29.99 USD") | Check for missing currency codes, wrong decimal formatting. |
| Price matches website | 3 | 100% of feed prices match the live website price | Spot-check 20 products against your website. Any mismatch = disapproval risk. |
| Sale price format correct | 2 | 100% of sale prices (where present) follow correct format with valid sale_price_effective_date | Check formatting on all discounted products. |

### 5.2 Availability Accuracy (5 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| Availability values correct | 2 | 100% use lowercase values: "in_stock," "out_of_stock," "preorder," "backorder" | Search for capitalized or incorrect values. |
| Availability matches website | 3 | 95%+ of products show correct availability status vs. live website | Spot-check 20 products. Showing "in_stock" for out-of-stock items triggers policy violations. |

### 5.3 Brand Accuracy (4 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| Brand name consistent | 2 | 100% of products use the exact same brand name spelling | Sort unique brand values. Look for variations (e.g., "Nike" vs "NIKE" vs "nike"). |
| Brand name matches reality | 2 | 100% of products use the correct, official brand name | Compare against your brand's official name. No abbreviations, no incorrect capitalization. |

### 5.4 URL Accuracy (4 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| Links use HTTPS | 2 | 100% of link and mobile_link values use HTTPS | Search for "http://" in link columns. |
| Links resolve correctly | 2 | 95%+ of product links lead to the correct, live product page | Spot-check 20 product URLs. Broken links = instant disapprovals. |

### 5.5 Identifier Accuracy (4 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| GTIN format valid | 2 | 100% of populated GTINs pass check-digit validation | Use an online GTIN validator or spreadsheet formula. Invalid GTINs cause disapprovals. |
| No recycled identifiers | 2 | Zero products share the same GTIN or MPN with different product data | Sort by GTIN. Flag duplicates with different titles, prices, or images. |

---

## Category 6: Feed Health (27 Points)

This category catches systemic issues that affect your entire feed's performance, not just individual products.

### 6.1 Structural Integrity (7 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| Column count correct | 3 | Feed contains all required columns in correct format | Compare your column headers against GMC's required fields. |
| No line breaks in fields | 2 | Zero fields contain embedded line breaks (\n or \r) | Open in a text editor and search for line breaks within quoted fields. |
| No delimiter issues | 2 | Consistent delimiter usage throughout (comma for CSV, tab for TSV) | Check for mixed delimiters causing column misalignment. |

### 6.2 Custom Label Strategy (8 points)

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| custom_label_0 populated | 2 | 100% of products have a custom_label_0 value (price tier) | Check for blanks. |
| custom_label_1 populated | 2 | 100% of products have a custom_label_1 value (margin tier) | Check for blanks. |
| custom_label_2 populated | 2 | 100% of products have a custom_label_2 value (seasonality) | Check for blanks. |
| custom_label_3-4 populated | 2 | 100% of products have custom_label_3 and custom_label_4 values | Best practices: use these for inventory level and funnel layer. |

**Custom label reference**:

| Label | Recommended Use | Example Values |
|-------|----------------|----------------|
| custom_label_0 | Price tier | "under-25," "25-50," "50-100," "100-200," "200-plus" |
| custom_label_1 | Margin tier | "high-margin," "medium-margin," "low-margin" |
| custom_label_2 | Seasonality | "evergreen," "spring," "summer," "fall," "winter," "holiday" |
| custom_label_3 | Inventory level | "high-stock," "low-stock," "clearance" |
| custom_label_4 | Funnel layer | "best-seller," "new-arrival," "trending," "standard" |

### 6.3 Anti-Templating Checks (12 points)

These checks detect patterns that signal automated, low-effort feed optimization. Google's algorithm penalizes feeds that look mass-produced.

| Check | Points | Pass Criteria | How to Verify |
|-------|--------|---------------|---------------|
| Title structure diversity | 3 | No single title structure used in more than 15% of products | Categorize titles by pattern. Calculate distribution. |
| Description opening diversity | 3 | No single opening pattern used in more than 20% of descriptions | Extract first 50 characters. Group and count. |
| Highlight uniqueness | 3 | Less than 50% of products share identical highlight content | Compare product_highlight sets across products. |
| Description-to-source divergence | 3 | 80%+ of descriptions differ more than 30% from original source descriptions | Compare rewritten content against original product page copy. |

**What templating penalties look like in practice**:

If your titles all follow this pattern:
```
[Brand] [Color] [Product Type] [Size] - [Material]
Nike Red Running Shoes 10 - Mesh
Nike Blue Running Shoes 11 - Mesh
Nike Black Running Shoes 9 - Leather
```

Google sees low-effort optimization. Compare to varied structures:
```
Nike Men's Red Mesh Running Shoes - Lightweight Size 10
Blue Nike Running Shoes for Men - Breathable Mesh Trainer Size 11
Men's Black Leather Running Shoes by Nike - Premium Comfort Size 9
```

Same information. Different structures. Google's algorithm treats the second set as individually optimized rather than bulk-generated.

---

## Score Calculation Worksheet

Use this worksheet to total your score after completing all 6 categories.

| Category | Max Points | Your Score |
|----------|-----------|------------|
| 1. Title Quality | 30 | _____ |
| 2. Description Quality | 25 | _____ |
| 3. Attribute Completeness | 25 | _____ |
| 4. Image Quality | 20 | _____ |
| 5. Data Accuracy | 25 | _____ |
| 6. Feed Health | 27 | _____ |
| **TOTAL** | **152** | **_____** |

**Your Quality Tier**: _________________ (STELLAR / GOOD / ACCEPTABLE / FAIR / POOR)

---

## Recovery Procedures by Category

After identifying your weakest categories, use these recovery procedures to fix the highest-impact issues first.

### Priority Order for Recovery

Fix categories in this order for maximum performance impact:

1. **Category 5 (Data Accuracy)** - Fixes here prevent disapprovals. No point optimizing titles if products are disapproved.
2. **Category 1 (Title Quality)** - Titles have the biggest impact on search matching and CTR.
3. **Category 3 (Attribute Completeness)** - Missing attributes mean missing from filtered searches.
4. **Category 6 (Feed Health)** - Anti-templating issues suppress your entire feed's performance.
5. **Category 2 (Description Quality)** - Descriptions improve Quality Score and relevance.
6. **Category 4 (Image Quality)** - Images affect CTR but are harder to fix quickly.

### Recovery: Category 1 (Title Quality)

| Issue | Fix | Time Required | Impact |
|-------|-----|---------------|--------|
| Titles under 100 chars | Add secondary keywords, specifications, and differentiators to fill Zone 2-3 | 1-2 hours for 50 products | High |
| Primary keyword not in Zone 1 | Restructure titles to front-load the primary keyword in the first 70 characters | 2-3 hours for 50 products | Very High |
| Duplicate titles | Add variant-specific details (color, size, model) to differentiate | 1-2 hours for duplicates | Medium |
| Templated structure | Rewrite 50% of titles using different patterns | 3-5 hours for full catalog | High |

### Recovery: Category 2 (Description Quality)

| Issue | Fix | Time Required | Impact |
|-------|-----|---------------|--------|
| Descriptions under 800 chars | Add product benefits, use cases, materials, and specifications | 2-4 hours for 50 products | Medium |
| Copied from manufacturer | Rewrite from scratch focusing on buyer benefits and search keywords | 4-8 hours for 50 products | High |
| Templated openings | Vary the first sentence structure across products | 2-3 hours for full catalog | Medium |

### Recovery: Category 3 (Attribute Completeness)

| Issue | Fix | Time Required | Impact |
|-------|-----|---------------|--------|
| Missing GTINs | Source from manufacturer, distributor, or GS1 database | 1-2 hours | High |
| Blocklisted color values | Replace with actual colors extracted from product images/titles | 30-60 minutes | Medium |
| Missing custom labels | Set up label rules based on price ranges, categories, and inventory | 1-2 hours | High |

### Recovery: Category 5 (Data Accuracy)

| Issue | Fix | Time Required | Impact |
|-------|-----|---------------|--------|
| Price mismatches | Sync feed with live website prices (automate with feed management tool) | 30 minutes to set up | Critical |
| Broken URLs | Run a bulk URL checker and fix/remove dead links | 1-2 hours | Critical |
| Invalid GTINs | Validate against check-digit algorithm and fix or remove invalid entries | 1-2 hours | High |
| Availability mismatches | Sync inventory status with your e-commerce platform in real-time | 30 minutes to set up | Critical |

---

## Quarterly Audit Schedule

| Quarter | Focus | Scope | Time |
|---------|-------|-------|------|
| Q1 (January) | Full 152-point audit | All 6 categories, all products | 2-3 hours |
| Q2 (April) | Full audit + seasonal prep | All 6 categories + seasonal labels update | 3-4 hours |
| Q3 (July) | Spot-check + Q4 prep | Categories 1, 3, 5 + BFCM product additions | 2 hours |
| Q4 (October) | Pre-BFCM full audit | All 6 categories with focus on new products | 3 hours |

**Between full audits**: Run Category 5 (Data Accuracy) checks weekly as part of your regular Merchant Center review. Price and availability mismatches cause immediate disapprovals.

---

## Worked Example: Scoring a 50-Product Feed

Here's what a real audit looks like for a mid-size e-commerce feed:

| Category | Check | Result | Score |
|----------|-------|--------|-------|
| **1. Title Quality** | | | |
| 1.1 Length | 47/50 titles over 100 chars (94%) | Just below 95% threshold | 2/3 |
| 1.1 Utilization | 40/50 in 120-150 range (80%) | Meets threshold | 3/3 |
| 1.2 Zone 1 keyword | 38/50 have primary keyword in Zone 1 (76%) | Above 70% threshold | 5/5 |
| 1.2 Product type in Zone 1 | 48/50 have product type (96%) | Above 90% threshold | 3/3 |
| 1.2 Brand in title | 50/50 (100%) | Full marks | 2/2 |
| 1.3 Structure variety | Max pattern is 12% | Below 15% threshold | 4/4 |
| 1.3 Duplicate titles | 2 duplicates found | Fail | 0/4 |
| 1.4 No filler phrases | Zero filler detected | Pass | 3/3 |
| 1.4 Natural readability | 49/50 read naturally (98%) | Above 90% | 3/3 |
| **Category 1 Total** | | | **25/30** |

| Category | Check | Result | Score |
|----------|-------|--------|-------|
| **2. Description Quality** | | | |
| 2.1 Minimum length | 48/50 over 800 chars (96%) | Above 90% | 3/3 |
| 2.1 Maximum length | 46/50 under 1,200 chars (92%) | Above 90% | 2/2 |
| 2.2 Uniqueness | 3% overlap (below 5%) | Pass | 5/5 |
| 2.2 Not manufacturer copy | 42/50 differ 30%+ (84%) | Below 90% threshold | 3/5 |
| 2.3 Primary keyword | 46/50 have primary keyword (92%) | Above 90% | 3/3 |
| 2.3 Secondary keywords | 38/50 have 2+ secondaries (76%) | Below 80% threshold | 1/2 |
| 2.4 Template detection | Max pattern at 16% | Below 20% | 3/3 |
| 2.4 No duplicates | Zero internal duplicates | Pass | 2/2 |
| **Category 2 Total** | | | **22/25** |

**This feed's running total after 2 categories: 47/55 (85%)**

Continuing through all 6 categories at this rate, the feed might land at 118/152 (ACCEPTABLE tier). Key fixes: resolve the 2 duplicate titles (+4 points), rewrite the 8 manufacturer-copy descriptions (+2 points), and add secondary keywords to 4 more descriptions (+1 point). Those three actions alone would push the score to 125/152 (GOOD tier).

---

*This 152-point framework is the same scoring system used to validate feeds across 160+ e-commerce accounts. Every check exists because it directly impacts Shopping ad performance.*


# Temperature-Based CTA Framework

## CTA Copy Formulas, Placement Rules, and A/B Testing Guide by Traffic Temperature

Most e-commerce brands use the same CTA everywhere: "Shop Now." On their homepage. On their blog posts. On their comparison pages. On their advertorials.

That's like using the same sales pitch whether someone just heard about you or is standing at the register with their wallet out. Different awareness levels need different asks.

This framework gives you the exact CTA copy, placement, frequency, and format for each traffic temperature - plus 30+ ready-to-use templates you can deploy today.

---

## The Temperature Model

| Temperature | Awareness Level | What They're Thinking | What Your CTA Should Do |
|-------------|----------------|----------------------|------------------------|
| **COLD** | Unaware or problem-aware | "Interesting, I didn't know that" | Invite further engagement without pressure |
| **WARM** | Solution-aware | "I'm comparing options" | Guide toward your solution with proof |
| **HOT** | Product-aware or most-aware | "I'm ready if the offer is right" | Remove friction and close |

**The core principle**: Match CTA intensity to awareness level. A cold visitor who sees "Buy Now" bounces. A hot visitor who sees "Learn More" gets frustrated.

---

## COLD Traffic CTAs

### When to Use
- Educational blog posts and guides
- "Best X for Y" editorial content
- Problem-awareness articles
- Top-of-funnel PMax campaigns driving to content pages

### CTA Psychology

Cold visitors don't trust you yet. They clicked because the topic interested them, not because they want your product. Your CTA should feel like a natural next step in their learning journey - not a sales pitch.

**Cialdini principle at work**: Reciprocity. Give value first (the education), then ask for a small commitment (keep reading, download, explore).

### Placement Rules

| Rule | Specification |
|------|--------------|
| First CTA position | Below the fold - after the first educational section (800-1,000 words in) |
| CTA frequency | 1 per 1,500 words maximum |
| Maximum CTAs per page | 3 |
| Sticky CTA | Do not use on cold pages (too aggressive) |
| Exit-intent popup | Soft - offer a related resource, not a product |

### Copy Formulas

**Formula 1: Continue the Journey**
```
[Action Verb] + [the Content Promise]
```
Examples:
- "Read the Full Guide"
- "See All 12 Options Compared"
- "Get the Complete Breakdown"

**Formula 2: Self-Identification**
```
[Find/Discover/See] + [What Applies to You]
```
Examples:
- "Find Your Best Match"
- "Discover Which Type Fits You"
- "See What Experts Recommend"

**Formula 3: Value Exchange**
```
[Get/Download] + [Free Resource] + [No Pressure Signal]
```
Examples:
- "Download the Free Checklist"
- "Get the Buyer's Guide (No Email Required)"
- "Save This Comparison for Later"

### Ready-to-Use Templates (COLD)

#### Button CTAs

| Template | Character Count | Best For |
|----------|----------------|----------|
| Read the Full Comparison | 25 | Listicle/roundup articles |
| See All Options Compared | 24 | Category comparison pages |
| Get the Complete Guide | 22 | Educational guides |
| Explore the Full List | 21 | Best-of lists |
| Learn How This Works | 21 | Problem-solution content |
| See What Experts Picked | 23 | Authority-driven editorial |
| Find Your Best Option | 21 | Quiz-style content |
| Download the Free Guide | 23 | Lead magnet conversion |
| View the Full Breakdown | 24 | Data-driven content |
| Keep Reading Below | 19 | Mid-article continuation |

#### Inline Text CTAs

Use these woven into the body copy, not as standalone buttons:

| Template | Context |
|----------|---------|
| "If you want to skip ahead to our top picks, scroll to [section]." | After intro section |
| "We break down each option in detail below - or jump straight to the comparison table." | After establishing the problem |
| "Curious which one won? Here's what our testing revealed." | After building curiosity |
| "Not sure which category you fall into? This quick breakdown will help." | Before segmentation section |

### What NOT to Do on Cold Pages

| Bad CTA | Why It Fails | Better Alternative |
|---------|-------------|-------------------|
| "Buy Now" | Visitor isn't ready to purchase | "See All Options" |
| "Add to Cart" | No product has been chosen yet | "Find Your Match" |
| "Limited Time Offer!" | Scarcity on a cold audience feels manipulative | "Compare Your Options" |
| "Sign Up Now" | Too much commitment too early | "Get the Free Guide" |
| "Start Your Trial" | They don't even know what the product does yet | "See How It Works" |

---

## WARM Traffic CTAs

### When to Use
- Advertorial pages
- Comparison pages where your brand is one of several
- "Vs" pages
- Category listicles where your products are featured
- Remarketing landing pages

### CTA Psychology

Warm visitors know the solution category exists and are actively comparing. They need confidence that your option is the right one. Your CTA should acknowledge their comparison process and guide them toward a decision.

**Cialdini principle at work**: Social proof + Authority. Show them that others have chosen you and that experts recommend you.

### Placement Rules

| Rule | Specification |
|------|--------------|
| First CTA position | After the first comparison or proof section (typically 600-800 words in) |
| CTA frequency | 1 per 800 words |
| Maximum CTAs per page | 5 |
| Sticky CTA | Optional - use after 40% scroll depth, show condensed version |
| Exit-intent popup | Medium intensity - offer comparison tool or discount |

### Copy Formulas

**Formula 1: Comparison Close**
```
[Compare/See] + [Your Product] + [vs. Alternative Context]
```
Examples:
- "Compare Side by Side"
- "See How We Stack Up"
- "View the Full Comparison"

**Formula 2: Social Proof Push**
```
[See Why] + [Number/Group] + [Chose/Switched/Recommend]
```
Examples:
- "See Why 12,000+ Switched"
- "Read 2,847 Verified Reviews"
- "See What Dermatologists Recommend"

**Formula 3: Guided Decision**
```
[Find/Get] + [Your/the Right] + [Product Type] + [for You]
```
Examples:
- "Find the Right One for You"
- "Get Matched to Your Ideal Option"
- "Take the 60-Second Quiz"

**Formula 4: Proof Preview**
```
[See] + [Results/Testimonial Preview]
```
Examples:
- "See Customer Results"
- "Watch Real User Reviews"
- "See Before   After Photos"

### Ready-to-Use Templates (WARM)

#### Button CTAs

| Template | Character Count | Best For |
|----------|----------------|----------|
| Compare All Options | 20 | Comparison pages |
| See Why People Switch | 22 | Competitor comparison |
| Read Customer Reviews | 22 | Social proof sections |
| Find Your Perfect Match | 23 | Quiz/recommendation pages |
| See Detailed Comparison | 23 | Feature comparison tables |
| View Customer Results | 22 | Testimonial/results pages |
| Get Your Recommendation | 23 | Personalized recommendation |
| See Our Top Pick | 16 | Roundup "winner" reveal |
| Compare Features   Price | 23 | Side-by-side comparison |
| Try Risk-Free for 30 Days | 24 | Guarantee-forward pages |

#### Inline Text CTAs

| Template | Context |
|----------|---------|
| "Want to see how [Your Product] compares on each of these factors? Here's the side-by-side." | After listing comparison criteria |
| "Still deciding? Here's what 2,847 verified buyers said." | Before testimonial section |
| "Not sure which is right for you? This 60-second quiz narrows it down." | Before quiz/recommendation |
| "If price is your main concern, jump to the value comparison section." | Acknowledging budget objection |

#### Sticky Bar CTAs

| Template | Context |
|----------|---------|
| "[Star Rating] 4.8/5 from 2,847 reviews - Compare Options" | Appears after 40% scroll |
| "Still comparing? See the side-by-side breakdown" | Appears after 50% scroll |
| "Ready to decide? Get matched in 60 seconds" | Appears after 60% scroll |

---

## HOT Traffic CTAs

### When to Use
- Product pages
- Direct response landing pages
- Cart recovery pages
- Email click-through landing pages
- Brand search landing pages
- Retargeting pages for past visitors

### CTA Psychology

Hot visitors know your product and are ready to act - but something might still hold them back. Price objection. Shipping concern. Risk aversion. Your CTA should remove the last barrier between intention and action.

**Cialdini principles at work**: Scarcity (limited time), Commitment (they've already invested time researching), and Social Proof (others are buying right now).

### Placement Rules

| Rule | Specification |
|------|--------------|
| First CTA position | Above the fold - visible without scrolling |
| CTA frequency | 1 per 500 words |
| Maximum CTAs per page | 7 |
| Sticky CTA | Required - show after first scroll with product image, price, and button |
| Exit-intent popup | High intensity - last-chance offer, cart reminder, or guarantee emphasis |

### Copy Formulas

**Formula 1: Direct Action**
```
[Action Verb] + [Product/Benefit] + [Now/Today]
```
Examples:
- "Add to Cart"
- "Buy Now - Free Shipping"
- "Get Yours Today"

**Formula 2: Friction Removal**
```
[Action] + [Objection Removed]
```
Examples:
- "Try Risk-Free for 30 Days"
- "Order Now - Free Returns"
- "Start Today - Cancel Anytime"

**Formula 3: Urgency + Value**
```
[Save/Get] + [Specific Value] + [Time Constraint]
```
Examples:
- "Save 20% - Ends Tonight"
- "Get Free Shipping Today Only"
- "Claim Your Bonus While Available"

**Formula 4: Outcome-Focused**
```
[Get/Start] + [Desired Outcome]
```
Examples:
- "Get Clearer Skin in 30 Days"
- "Start Your Transformation"
- "Begin Your Routine Today"

### Ready-to-Use Templates (HOT)

#### Button CTAs

| Template | Character Count | Best For |
|----------|----------------|----------|
| Add to Cart | 11 | Product pages |
| Buy Now - Free Shipping | 23 | Product pages with free shipping |
| Get Yours Today | 15 | Direct response landers |
| Claim Your 20% Discount | 23 | Promotional landers |
| Try Risk-Free for 30 Days | 25 | Guarantee-forward pages |
| Order Now - Free Returns | 23 | Objection removal |
| Start My Subscription | 21 | Subscription products |
| Get the Bundle   Save 25% | 26 | Bundle offer pages |
| Yes, I Want This | 16 | Emotionally-driven pages |
| Complete My Order | 18 | Cart/checkout pages |

#### Inline Text CTAs

| Template | Context |
|----------|---------|
| "Ready to start? Your order ships free and arrives in 3-5 days." | After product details |
| "Join 12,000+ customers who've already made the switch." | Before final CTA button |
| "Still thinking? Remember: 30-day money-back guarantee. Zero risk." | Objection handling section |
| "This offer expires at midnight. After that, the price goes back to $X." | Urgency-driven close (use honestly) |

#### Sticky Bar CTAs

| Template | Context |
|----------|---------|
| "[Product Image] [Product Name] - $XX.XX - Add to Cart" | Appears after scrolling past hero |
| "Free Shipping on Orders Over $50 - Shop Now" | Appears immediately |
| "20% Off Ends Tonight - Claim Your Discount" | Time-sensitive promotions |

#### Exit-Intent Popup CTAs

| Template | Context |
|----------|---------|
| "Wait - Get 10% Off Your First Order. Use code WELCOME10." | First-time visitor about to leave |
| "You left something behind. Complete your order and get free shipping." | Cart abandoner returning |
| "Not ready yet? Save your selection and we'll hold your discount for 24 hours." | Decision hesitation |

---

## CTA Design Rules

These apply across all temperature zones:

### Button Design

| Element | Specification |
|---------|--------------|
| Minimum touch target | 44px x 44px (mobile); 36px x 36px (desktop) |
| Color | Contrasting with page background. Use ONE primary CTA color consistently. |
| Text size | 16px minimum on mobile, 14px minimum on desktop |
| Padding | 12px vertical, 24px horizontal minimum |
| Border radius | 4-8px (avoid fully rounded or fully square) |
| Hover state | Darken 10-15% or add subtle shadow |

### Color Psychology Reference

| Color | Association | Best For | Avoid When |
|-------|-------------|----------|------------|
| Green | Go, positive, natural | Subscription, eco-friendly, health products | Luxury brands |
| Orange | Energy, urgency, friendly | E-commerce, limited offers | Professional services |
| Blue | Trust, security, calm | Financial products, SaaS, health | Urgency-driven offers |
| Red | Urgency, passion, action | Sale events, clearance, time-limited | Trust-dependent purchases |
| Black | Premium, luxury, exclusive | Luxury brands, premium products | Budget-friendly positioning |

### Whitespace Rules

- **Above CTA**: Minimum 24px padding
- **Below CTA**: Minimum 16px padding
- **Between CTA and supporting text**: 8-12px
- **Between multiple CTAs**: 40px minimum (prevent accidental clicks)

---

## A/B Testing Your CTAs

### What to Test First

Test in this order - each has progressively less impact:

| Priority | Element | Expected Impact | Minimum Sample |
|----------|---------|----------------|----------------|
| 1 | CTA copy (the words) | 10-30% CTR change | 1,000 clicks per variant |
| 2 | CTA placement (where on page) | 5-20% conversion change | 2,000 visitors per variant |
| 3 | CTA color | 3-15% CTR change | 1,500 clicks per variant |
| 4 | CTA size | 2-10% CTR change | 1,500 clicks per variant |
| 5 | Supporting text (below button) | 2-8% conversion change | 2,000 visitors per variant |

### Test Frameworks by Temperature

#### Cold Page Tests

| Test | Control | Variant | Hypothesis |
|------|---------|---------|------------|
| Copy test | "Read the Full Guide" | "See What Experts Recommend" | Authority framing increases clicks |
| Placement test | CTA at 1,000 words | CTA at 600 words | Earlier CTA captures impatient readers |
| Format test | Button CTA | Inline text CTA | Less aggressive format matches cold intent |

#### Warm Page Tests

| Test | Control | Variant | Hypothesis |
|------|---------|---------|------------|
| Copy test | "Compare Options" | "See Why 12,000+ Switched" | Social proof outperforms neutral comparison |
| Sticky test | No sticky CTA | Sticky CTA at 40% scroll | Always-visible CTA captures decision moments |
| Proof test | "View Details" | "4.8/5 from 2,847 Reviews - View Details" | Adding proof to CTA increases confidence |

#### Hot Page Tests

| Test | Control | Variant | Hypothesis |
|------|---------|---------|------------|
| Copy test | "Add to Cart" | "Add to Cart - Free Shipping" | Friction removal in CTA increases clicks |
| Urgency test | "Buy Now" | "Buy Now - 20% Off Ends Tonight" | Time pressure increases conversion |
| Risk test | "Order Now" | "Try Risk-Free for 30 Days" | Guarantee framing reduces hesitation |

### Testing Rules

1. **One variable at a time.** Changing copy AND color simultaneously tells you nothing.
2. **Run to statistical significance.** Minimum 95% confidence before calling a winner.
3. **Test for at least 7 days.** Day-of-week effects skew shorter tests.
4. **Document every test.** Record hypothesis, variants, sample size, result, and learnings.
5. **Apply winners across similar pages.** If "See Why 12,000+ Switched" wins on one warm page, test it on all warm pages.

### Interpreting Results

| Result | What It Means | Next Step |
|--------|--------------|-----------|
| Variant wins by 5%+ | Clear signal. Implement winner. | Apply to similar pages and move to next test priority. |
| Variant wins by 2-5% | Likely real but small. Implement if easy. | Consider whether the lift justifies ongoing complexity. |
| No difference ( 2%) | This element doesn't matter much for your audience. | Move to the next test priority. Don't keep testing the same element. |
| Control wins | Your instinct was wrong - that's valuable data. | Document why the variant failed. Don't retest the same hypothesis. |

---

## Temperature Transition Points

Sometimes a single page serves visitors at different temperatures. Here's how to handle transitions:

### Cold-to-Warm Transition

When an educational page successfully builds awareness and the visitor is now comparing:

| Section | Temperature | CTA Style |
|---------|-------------|-----------|
| Introduction + education | Cold | "Keep Reading" or "See the Full Breakdown" |
| Comparison section | Warming | "Compare These Options" |
| Recommendation section | Warm | "See Our Top Pick" or "Find Your Match" |

### Warm-to-Hot Transition

When a comparison page has convinced the visitor and they're ready to act:

| Section | Temperature | CTA Style |
|---------|-------------|-----------|
| Comparison table | Warm | "Compare All Features" |
| Winner reveal | Warming | "See Why This Won" |
| Product detail + offer | Hot | "Buy Now - Free Shipping" or "Try Risk-Free" |

### Full Funnel Page (Cold to Hot)

For long-form pages that take a reader from unaware to ready-to-buy:

| Position | Temperature | CTA | Purpose |
|----------|-------------|-----|---------|
| After intro (800 words) | Cold | "See the Full Comparison" | Keep reading |
| After education (1,500 words) | Cold-Warm | "Find Which Type Is Right for You" | Self-identification |
| After comparison (2,200 words) | Warm | "See Customer Results" | Build proof |
| After testimonials (2,800 words) | Warm-Hot | "See Today's Best Price" | Bridge to purchase |
| Final section (3,200 words) | Hot | "Order Now - Free Shipping   Returns" | Close |

---

## Quick Reference Card

Print this and keep it visible when building pages:

| | COLD | WARM | HOT |
|---|------|------|-----|
| **First CTA** | Below fold (800-1,000 words) | After first proof section (600-800 words) | Above the fold |
| **Frequency** | 1 per 1,500 words | 1 per 800 words | 1 per 500 words |
| **Max CTAs** | 3 | 5 | 7 |
| **Sticky CTA** | No | Optional (after 40% scroll) | Required |
| **Exit popup** | Soft (resource offer) | Medium (comparison/discount) | Aggressive (cart/offer) |
| **Tone** | Inviting, educational | Confident, proof-driven | Direct, urgent |
| **Copy style** | "Learn/See/Discover" | "Compare/Find/See Why" | "Buy/Get/Order/Start" |
| **Trust signal** | Data/research | Reviews/testimonials | Guarantees/returns |
| **Content ratio** | 80% education, 20% product | 50% education, 50% product | 20% education, 80% product |

---

*This framework is based on conversion optimization data from pre-sell pages generating 50,000+ monthly visitors across multiple temperature zones. Every formula and placement rule has been tested against live traffic.*


# BONUS 2: Asset Group Planning Worksheet

## Instructions

Complete this worksheet BEFORE creating asset groups in Google Ads. Planning on paper first prevents the most common PMax structural mistakes.

---

## Step 1: Campaign Architecture Decision

**Monthly PMax Budget**: $____________

**Monthly Account Conversions**: ____________

**Architecture Selected** (circle one):
- [ ] Feed-Only (1 campaign) - Budget   $5k, conversions 30-50
- [ ] Feed-Only + Remarketing (2 campaigns) - Budget $5k-$10k, conversions 50-100
- [ ] 3-Campaign (Feed-Only + Demand Gen + Remarketing) - Budget $10k+, conversions 100+

**Budget Allocation**:
| Campaign | % of Budget | Monthly Budget |
|----------|-------------|----------------|
| Feed-Only | ____% | $________ |
| Demand Gen | ____% | $________ |
| Remarketing | ____% | $________ |
| **Total** | **100%** | **$________** |

---

## Step 2: Product Segmentation

### Catalog Analysis

**Total active products**: ____________

**Product categories**:
| Category | # Products | % of Revenue | Avg. Price | Avg. Margin |
|----------|-----------|-------------|-----------|-------------|
| | | | | |
| | | | | |
| | | | | |
| | | | | |
| | | | | |

### Segmentation Strategy

**How will you split products into asset groups?**
- [ ] By product category
- [ ] By price tier
- [ ] By margin tier
- [ ] By performance (Hero/Sidekick/Villain)
- [ ] By brand (if multi-brand)
- [ ] Other: ________________

---

## Step 3: Asset Group Planning

### Asset Group #1

**Name**: ________________________________

**Products included**:
- Category/brand/tier: ________________
- # of products: ____
- Expected monthly conversions: ____

**Audience Signals**:
| Type | Specific Signal |
|------|----------------|
| Custom segment (URL) | |
| Custom segment (URL) | |
| Custom segment (URL) | |
| Custom segment (terms) | |
| In-market audience | |
| In-market audience | |
| Customer list | |

**Listing Group Filter**:
- Product type: ________________
- Brand: ________________
- Custom label: ________________
- Condition: ________________

---

### Asset Group #2

**Name**: ________________________________

**Products included**:
- Category/brand/tier: ________________
- # of products: ____
- Expected monthly conversions: ____

**Audience Signals**:
| Type | Specific Signal |
|------|----------------|
| Custom segment (URL) | |
| Custom segment (URL) | |
| Custom segment (URL) | |
| Custom segment (terms) | |
| In-market audience | |
| In-market audience | |
| Customer list | |

**Listing Group Filter**:
- Product type: ________________
- Brand: ________________
- Custom label: ________________
- Condition: ________________

---

### Asset Group #3

**Name**: ________________________________

**Products included**:
- Category/brand/tier: ________________
- # of products: ____
- Expected monthly conversions: ____

**Audience Signals**:
| Type | Specific Signal |
|------|----------------|
| Custom segment (URL) | |
| Custom segment (URL) | |
| Custom segment (URL) | |
| Custom segment (terms) | |
| In-market audience | |
| In-market audience | |
| Customer list | |

**Listing Group Filter**:
- Product type: ________________
- Brand: ________________
- Custom label: ________________
- Condition: ________________

---

## Step 4: Remarketing Asset Groups (If Using 2 or 3-Campaign Architecture)

### Visitors Group
**Audience**: All website visitors (90 days)
**Messaging angle**: Soft re-engagement, "still looking?"
**tROAS target**: ____x

### Abandoners Group
**Audience**: Cart abandoners (90 days)
**Messaging angle**: Urgency, "your cart is waiting"
**tROAS target**: ____x

### Purchasers Group
**Audience**: Past purchasers
**Messaging angle**: Cross-sell, upsell, loyalty
**tROAS target**: ____x

---

## Step 5: Emotional Truth Extraction (Per Asset Group)

Complete for EACH asset group:

### Asset Group: ______________________

**Q1: Who is ONE specific person buying this?**
(Name, age, role, situation, history with the problem)

_____________________________________________________________
_____________________________________________________________
_____________________________________________________________

**Q2: What HUMAN DESIRE drives the purchase?**
(Not the product benefit - the desire underneath)

_____________________________________________________________
_____________________________________________________________

**Q3: What DEEPER PAIN keeps them stuck?**
(What have they tried? Why did it fail? How does that make them feel?)

_____________________________________________________________
_____________________________________________________________
_____________________________________________________________

**Q4: What exact WORDS do customers use?**
(Pull from reviews, Reddit, Amazon Q A - verbatim)

1. "___________________________________________"
2. "___________________________________________"
3. "___________________________________________"
4. "___________________________________________"
5. "___________________________________________"

**Q5: What FEELING do they have after buying?**
(Not "satisfied" - the specific emotional state)

_____________________________________________________________
_____________________________________________________________

---

## Step 6: Pre-Launch Validation

Before building in Google Ads, verify:

- [ ] Each asset group has enough expected conversions (30+/month minimum)
- [ ] No product overlap between asset groups within same campaign
- [ ] Audience signals are specific (not just broad demographics)
- [ ] Emotional Truth extraction completed for every group
- [ ] Listing group filters are clear and non-overlapping
- [ ] Budget allocation totals 100%
- [ ] Remarketing audiences have 1,000+ users each

**Ready to build**: [ ] YES [ ] NO - need to fix: ________________

---

*Complete this worksheet before touching Google Ads. The 30 minutes you spend here will save you from the most common PMax structural mistakes that take months to diagnose.*

---

## TechReco Implementation Notes

**Render as**: Interactive web form page (NOT a static PDF).

**Form elements**:
- All `$____________` and `________________` blanks → text input fields
- All `____x` and `____%` → number input fields with appropriate suffixes
- All `[ ]` checkboxes → interactive checkboxes
- All tables with empty cells → editable table rows with "Add Row" buttons
- Budget allocation table → auto-calculate total as percentages are entered
- "Ready to build" at the bottom → submit button that validates all required fields

**Page features**:
- Save progress locally (localStorage) so users can return and finish later
- "Download as PDF" button that exports the completed worksheet
- "Print" button with print-optimized CSS (clean layout, no form chrome)
- Collapsible sections for each Step (default: all expanded)
- Sticky progress bar showing completion % (how many fields filled vs total)

**Validation rules**:
- Budget allocation must total 100%
- Monthly conversions field: show warning if under 30 ("PMax may not be optimal - consider Standard Shopping first")
- At least one architecture option must be selected
- At least one segmentation strategy must be selected
- Pre-launch validation checklist: all items should be checked before "Ready to build" is marked YES

---

## Worked Example

**Business**: DTC pet supplies brand. Monthly PMax budget: $25K. 480 active products. 140 monthly conversions.

### Step 1: Campaign Architecture

**Monthly PMax Budget**: $25,000
**Monthly Account Conversions**: 140
**Architecture Selected**: 3-Campaign (Feed-Only + Demand Gen + Remarketing) - Budget $10k+, conversions 100+

| Campaign | % of Budget | Monthly Budget |
|----------|-------------|----------------|
| Feed-Only | 65% | $16,250 |
| Demand Gen | 15% | $3,750 |
| Remarketing | 20% | $5,000 |
| **Total** | **100%** | **$25,000** |

### Step 2: Product Segmentation

**Total active products**: 480

| Category | # Products | % of Revenue | Avg. Price | Avg. Margin |
|----------|-----------|-------------|-----------|-------------|
| Dog Food   Treats | 180 | 45% | $42 | 55% |
| Dog Accessories | 120 | 22% | $28 | 65% |
| Cat Food   Treats | 100 | 20% | $36 | 52% |
| Cat Accessories | 80 | 13% | $24 | 68% |

**Segmentation Strategy**: By product category + performance tier (Hero/Sidekick/Villain)

### Step 3: Asset Groups

**Asset Group #1: "Dog Food - Heroes"**
- Category: Top 40 dog food SKUs by revenue (Hero products)
- Products: 40
- Expected monthly conversions: 63

| Type | Specific Signal |
|------|----------------|
| Custom segment (URL) | chewy.com/dog-food, petco.com/dog-food |
| Custom segment (URL) | thefarmersdog.com, ollie.com |
| Custom segment (URL) | reddit.com/r/dogs |
| Custom segment (terms) | "organic dog food", "natural dog food", "best dog food" |
| In-market audience | Dog Food |
| In-market audience | Pet Care Products |
| Customer list | Past dog food buyers (4,200 users) |

- Product type: Dog   Food   Treats
- Custom label: performance_hero
- Condition: New

**Asset Group #2: "Dog Accessories"**
- Products: 120
- Expected monthly conversions: 31

**Asset Group #3: "Cat Food + Cat Accessories" (merged)**
- Products: 180
- Expected monthly conversions: 46

### Step 4: Remarketing Asset Groups

**Visitors Group**: All site visitors (90 days), "Still looking for the right food for [dog/cat]?", tROAS: 5.0x

**Abandoners Group**: Cart abandoners (30 days), "Your [pet name]'s food is waiting", tROAS: 8.0x

**Purchasers Group**: Past purchasers (180 days), "Time for a refill? New flavors added", tROAS: 6.0x

### Step 5: Emotional Truth (Asset Group #1)

**Q1**: "Jessica, 42, has a 7-year-old Lab named Cooper who started getting stomach issues last year. She's switched food 3 times and spent $200 at the vet trying to figure out what he can tolerate."

**Q2**: "To stop worrying about Cooper's health every time she fills his bowl."

**Q3**: "She reads ingredient labels obsessively but doesn't know what half the ingredients mean. Each food switch means 2 weeks of uncertainty. The vet says 'try something grain-free' but that's a $70/bag gamble every time."

**Q4**: "My dog won't eat it", "gave him the runs", "ingredient list looks like a chemistry set", "vet recommended but he still throws up", "I just want something that works consistently"

**Q5**: "Quiet confidence - she fills the bowl without a second thought."

### Step 6: Pre-Launch Validation

- [x] Each asset group has 30+ expected conversions (AG1: 63, AG2: 31, AG3: 46)
- [x] No product overlap (dog food heroes / dog accessories / cat everything)
- [x] Audience signals are specific (competitor URLs, in-market, customer lists)
- [x] Emotional Truth completed for all groups
- [x] Listing group filters are clear (product type + custom label)
- [x] Budget allocation totals 100%
- [x] Remarketing audiences: Visitors 12,400 / Abandoners 1,800 / Purchasers 6,200 (all above 1,000)

**Ready to build**: [x] YES

---

## Your Turn

Follow the steps above for your own account. Start with Step 1 (architecture decision based on budget and conversions), then segment products, plan asset groups, and complete the Emotional Truth extraction before touching Google Ads.

---

## Interpretation Guide

| Situation | What It Means | Action |
|-----------|--------------|--------|
| Budget under $5K/month | Single Feed-Only campaign is your best bet | Don't split into multiple campaigns - not enough budget to feed them |
| 3+ asset groups all under 30 conversions | Over-segmented - too many groups for your volume | Merge into 1-2 broader groups until volume justifies splitting |
| Remarketing audiences under 1,000 users | Audience too small for PMax remarketing | Build audience first through feed-only prospecting, add remarketing later |
| Hero products generate 80%+ of revenue | Classic power law - focus budget on winners | Put Heroes in a dedicated asset group with higher budget share |
| Emotional Truth answers are generic | You don't know your customer deeply enough | Read 50+ reviews and 10+ Reddit threads before filling in Q1-Q5 |


# Multi-Campaign Budget Planner

**Purpose**: Allocate budget across the 3-campaign PMax architecture (Feed-Only + Demand Gen + Remarketing) based on your monthly spend level. Includes scaling rules and campaign splitting thresholds.

---

## Budget Allocation by Account Size

### Tier 1: $5,000/month

| Campaign | % of Budget | Monthly Budget | Daily Budget |
|----------|-------------|----------------|--------------|
| Feed-Only PMax | 60% | $3,000 | $100 |
| Demand Gen | 25% | $1,250 | $42 |
| Remarketing PMax | 15% | $750 | $25 |
| **Total** | **100%** | **$5,000** | **$167** |

**Notes**: At this level, Feed-Only carries the account. Demand Gen gets enough to test 1-2 audiences. Remarketing is minimal — your retargeting pool is likely small at this spend.

---

### Tier 2: $10,000/month

| Campaign | % of Budget | Monthly Budget | Daily Budget |
|----------|-------------|----------------|--------------|
| Feed-Only PMax | 55% | $5,500 | $183 |
| Demand Gen | 30% | $3,000 | $100 |
| Remarketing PMax | 15% | $1,500 | $50 |
| **Total** | **100%** | **$10,000** | **$333** |

**Notes**: Demand Gen now has meaningful budget for video testing. Begin testing 2-3 audience segments. Remarketing audiences should be 2,000+ users.

---

### Tier 3: $25,000/month

| Campaign | % of Budget | Monthly Budget | Daily Budget |
|----------|-------------|----------------|--------------|
| Feed-Only PMax | 55% | $13,750 | $458 |
| Demand Gen | 25% | $6,250 | $208 |
| Remarketing PMax | 20% | $5,000 | $167 |
| **Total** | **100%** | **$25,000** | **$833** |

**Notes**: Feed-Only campaign approaching splitting threshold ($15K). Monitor for performance drag above $13K — if ROAS drops 15%+, split by product category. Remarketing gets a meaningful share now that your site traffic supports it.

---

### Tier 4: $50,000/month

| Campaign | % of Budget | Monthly Budget | Daily Budget |
|----------|-------------|----------------|--------------|
| Feed-Only PMax #1 | 30% | $15,000 | $500 |
| Feed-Only PMax #2 | 20% | $10,000 | $333 |
| Demand Gen | 30% | $15,000 | $500 |
| Remarketing PMax | 15% | $7,500 | $250 |
| TOF PMax | 5% | $2,500 | $83 |
| **Total** | **100%** | **$50,000** | **$1,667** |

**Notes**: Feed-Only is now split into 2 campaigns (by product category or performance tier). TOF PMax introduced at 5% — running to advertorial/content pages. Demand Gen has enough budget for full hook rotation testing.

---

### Tier 5: $100,000/month

| Campaign | % of Budget | Monthly Budget | Daily Budget |
|----------|-------------|----------------|--------------|
| Feed-Only PMax #1 | 20% | $20,000 | $667 |
| Feed-Only PMax #2 | 15% | $15,000 | $500 |
| Feed-Only PMax #3 | 10% | $10,000 | $333 |
| Demand Gen #1 | 15% | $15,000 | $500 |
| Demand Gen #2 | 10% | $10,000 | $333 |
| Remarketing PMax | 15% | $15,000 | $500 |
| TOF PMax #1 | 8% | $8,000 | $267 |
| TOF PMax #2 | 7% | $7,000 | $233 |
| **Total** | **100%** | **$100,000** | **$3,333** |

**Notes**: Full multi-campaign architecture. Feed-Only split 3 ways (by category/margin/performance). Two Demand Gen campaigns (video vs image/carousel). Two TOF PMax campaigns (different page types). Remarketing is now a substantial campaign.

---

## When to Add a 4th Campaign (TOF PMax)

**Trigger**: Monthly PMax budget reaches $15,000+

**Conditions before launching TOF PMax**:
- [ ] Feed-Only PMax running profitably for 60+ days
- [ ] Site traffic supports 5,000+ monthly visitors
- [ ] You have content pages to send traffic to (advertorials, guides, comparisons)
- [ ] Feed-Only is consistently hitting tROAS target
- [ ] You have at least 100 conversions/month across existing PMax campaigns

**TOF PMax Architecture**:
- Page types: Advertorials, comparison pages, listicles, educational guides
- Separate campaign from main Feed-Only
- Longer conversion window expected (14-21 days vs 3-7 for Feed-Only)
- Start at 5% of total PMax budget, scale to 10-15% based on blended ROAS contribution

**Budget allocation for TOF PMax**:
| Monthly Total | TOF Budget | % of Total |
|---------------|-----------|------------|
| $15,000 | $750 | 5% |
| $25,000 | $1,875 | 7.5% |
| $50,000 | $5,000 | 10% |
| $100,000 | $15,000 | 15% |

---

## Weekly Budget Review Checklist

Complete every Monday morning (10 minutes):

### Performance Check
- [ ] Pull 7-day ROAS for each campaign
- [ ] Compare to 30-day average — flag any campaign 20%+ below average
- [ ] Check spend pacing — is each campaign spending its daily budget?
- [ ] Review impression share — are you losing to budget?

### Budget Adjustment Decision
- [ ] **No campaign should change by more than 10-20% per week**
- [ ] If ROAS is 20%+ above target for 14+ days → increase budget by 10%
- [ ] If ROAS is 10-20% below target → hold budget, investigate creative/audience
- [ ] If ROAS is 20%+ below target for 14+ days → decrease budget by 10%
- [ ] If campaign is not spending budget → check ad approval, audience size, asset quality

### Rebalancing Check
- [ ] Is any campaign spending less than 80% of its daily budget? (shift to higher-performing campaign)
- [ ] Is any campaign limited by budget while maintaining strong ROAS? (increase allocation)
- [ ] Are total spending and total ROAS aligned with account goals?

---

## Budget Scaling Rules

### Rule 1: Maximum Weekly Increase
**Never increase a single campaign's budget by more than 20% in one week.**

| Current Budget | Max Weekly Increase | New Max Budget |
|---------------|--------------------|----|
| $3,000 | $600 | $3,600 |
| $5,000 | $1,000 | $6,000 |
| $10,000 | $2,000 | $12,000 |
| $15,000 | $3,000 | $18,000 |
| $25,000 | $5,000 | $30,000 |

### Rule 2: Performance-Based Scaling
| Performance Condition | Budget Action |
|----------------------|---------------|
| ROAS 20%+ above target for 14 days | Increase 10% |
| ROAS 30%+ above target for 21 days | Increase 15-20% |
| ROAS at target (within 10%) for 30 days | Increase 10% |
| ROAS 10-20% below target | Hold — investigate |
| ROAS 20%+ below target for 14 days | Decrease 10% |
| ROAS 30%+ below target for 7 days | Decrease 15-20% |

### Rule 3: Campaign Splitting Threshold
**Split a campaign when it reaches $15,000-$20,000/month.**

Why: PMax campaigns become less efficient above $15-20K/month because the algorithm runs out of high-quality inventory at that spend level and starts bidding on progressively lower-quality placements.

**How to split**:
1. Identify the natural segment (product category, margin tier, or performance tier)
2. Create new campaign with the smaller segment
3. Allocate 40% of the original budget to the new campaign
4. Keep 60% on the original (now reduced) campaign
5. Let both stabilize for 14 days before making adjustments

### Rule 4: Seasonal Adjustment
| Season | Budget Adjustment | Why |
|--------|-------------------|-----|
| January | Decrease 10-15% | Post-holiday lull |
| February-March | Hold or increase 5% | Recovery period |
| April-June | Increase 10-15% | Spring demand rises |
| July-August | Hold | Summer steady state |
| September | Increase 10% | Pre-holiday ramp |
| October | Increase 20% | Holiday build-up |
| November | Increase 30-50% | Black Friday/Cyber Monday |
| December (1-20) | Increase 20-30% | Holiday peak |
| December (21-31) | Decrease 30-40% | Shipping cutoff passed |

---

## Your Budget Planning Worksheet

**Monthly PMax Budget**: $____________

**Architecture Selected**: ____________

| Campaign | % | Monthly | Daily | tROAS Target |
|----------|---|---------|-------|-------------|
| | | | | |
| | | | | |
| | | | | |
| | | | | |
| **Total** | **100%** | **$________** | **$________** | |

**Next Review Date**: ____________

**Scaling Runway** (weeks until next budget tier): ____________

---

## Worked Example

**Business**: DTC kitchenware brand. 320 products. Monthly PMax budget: $18,000. Currently running single Feed-Only campaign at $18K. ROAS: 4.2x (target 3.5x). 95 monthly PMax conversions.

### Problem
Single $18K campaign is above the splitting threshold. ROAS has slowly declined from 4.8x to 4.2x over 3 months as budget increased from $12K to $18K.

### Recommended Restructure

**Step 1**: Split into 3-campaign architecture

| Campaign | % | Monthly | Daily | Rationale |
|----------|---|---------|-------|-----------|
| Feed-Only PMax (Heroes) | 50% | $9,000 | $300 | Top 80 products by revenue |
| Feed-Only PMax (Long Tail) | 15% | $2,700 | $90 | Remaining 240 products |
| Demand Gen | 20% | $3,600 | $120 | Video + image creative for cold audiences |
| Remarketing PMax | 15% | $2,700 | $90 | Cart abandoners + site visitors |
| **Total** | **100%** | **$18,000** | **$600** | |

**Step 2**: Scaling plan (next 12 weeks)

| Week | Total Budget | Change | Action |
|------|-------------|--------|--------|
| 1-2 | $18,000 | — | Launch new architecture, let stabilize |
| 3-4 | $18,000 | — | Assess performance, no changes |
| 5-6 | $19,800 | +10% | Increase Heroes if ROAS holds above 3.5x |
| 7-8 | $21,780 | +10% | Increase Demand Gen if early signals are positive |
| 9-10 | $23,950 | +10% | Increase across campaigns proportionally |
| 11-12 | $25,000 | +5% | Reach Tier 3 threshold |

**Expected outcome**: By splitting the single $18K campaign, each campaign operates within the efficiency zone. ROAS should recover toward 4.5-4.8x within 6 weeks, with volume maintained.

---

## Interpretation Guide

| Situation | What It Means | Action |
|-----------|--------------|--------|
| One campaign spending 95%+ of budget, others underspending | Imbalanced allocation or one campaign dominating auctions | Verify audience overlap isn't cannibalizing smaller campaigns |
| Feed-Only ROAS declining as budget increases | Hitting the spending efficiency ceiling | Split campaign or slow scaling pace |
| Demand Gen spending entire budget but low ROAS | Creative fatigue or wrong audience | Rotate creatives, check audience signals |
| Remarketing not spending budget | Retargeting pool too small | Grow pool via Feed-Only prospecting first |
| All campaigns hitting target ROAS | Perfect state — ready to scale | Increase total budget 10% per week |
| TOF PMax showing 0 conversions after 3 weeks | Expected — TOF has longer conversion lag | Wait 6 weeks before judging, check assisted conversions |

---

*This budget planner accompanies Part 2: Campaign Architecture of The PMax Mastery System.*

---

*From: The PMax Mastery System*
*P.M.A.X. Protocol: Performance Max Architecture for Excellence*


# Bidding Strategy Transition Planner

**Purpose**: Guide your PMax campaigns through the 8-12 week warmup from launch to fully optimized bidding. Each phase has clear entry gates, exit criteria, and per-campaign instructions.

---

## The Bidding Progression Overview

```
Week 1-2          Week 3-4               Week 5-6             Week 7-8           Week 9-12
PHASE 1            PHASE 2                PHASE 3              PHASE 4            PHASE 5
Data Gathering     Unrestricted Value     Loose tROAS          Target tROAS       Optimization

Max Clicks OR      Maximize Conv Value    Max Conv Value       tROAS at target    tROAS fine-tuning
Manual CPC         (no target)            (loose tROAS,        (if 30+ conv)      (5-10% adjustments)
                                          20% below break-
                                          even)

GATE: Launch       GATE: Impressions      GATE: 15+ conv       GATE: 30+ conv     GATE: Stable for
verified           serving, spend          in 14 days           in 30 days         30 days
                   on track
```

---

## Phase 1: Data Gathering (Week 1-2)

### Strategy: Maximize Clicks (Search campaigns) or Maximize Conversion Value with no target (PMax/Demand Gen)

### Why Start Here
PMax needs to crawl before it can walk. Without conversion data, the algorithm has no signal to optimize against. Starting with tROAS on a new campaign is like asking someone to hit a bullseye blindfolded — the algorithm will either bid too conservatively (barely spending) or wildly overpay.

### Per-Campaign Setup

| Campaign Type | Starting Strategy | Bid Cap / Notes |
|---------------|-------------------|-----------------|
| Feed-Only PMax | Maximize Conversion Value (no target) | Let it spend freely to gather product-level data |
| Demand Gen | Maximize Conversion Value (no target) | Creative performance data is the priority |
| Remarketing PMax | Maximize Conversion Value (no target) | Warm audiences convert faster — data comes quick |

### Daily Monitoring (5 min/day)

- [ ] Are impressions serving? (If 0 impressions after 4 hours, check ad approval status)
- [ ] Is the campaign spending at least 70% of daily budget?
- [ ] Are assets in "ELIGIBLE" or "APPROVED" status?
- [ ] Any policy violations flagged?

### Exit Gate for Phase 2
- [ ] Campaign has been live for 14+ days
- [ ] Impressions are serving consistently
- [ ] Spend is tracking to at least 80% of daily budget
- [ ] At least some conversions have been recorded (even 1-2)

### What NOT to Change in Phase 1
- Do not add tROAS or tCPA targets
- Do not change budget by more than 10%
- Do not pause/enable asset groups
- Do not restructure campaigns

---

## Phase 2: Unrestricted Value Optimization (Week 3-4)

### Strategy: Stay on Maximize Conversion Value (no target)

### Why Stay Unrestricted
The algorithm has 2 weeks of data now. It's starting to learn which products, placements, and audiences convert. Keeping it unrestricted lets it explore the full landscape of opportunities without artificial constraints choking discovery.

### Per-Campaign Checkpoints

| Campaign | Check At Week 3 | Action |
|----------|-----------------|--------|
| Feed-Only PMax | How many conversions in last 14 days? | If 15+: on track. If  15: check feed quality, audience signals |
| Demand Gen | Which creatives are getting impressions? | Remove any assets stuck at "Low" for 14 days, replace with new variants |
| Remarketing PMax | Is it converting retargeting audiences? | If CTR  2% and some conversions: healthy. If CTR  1%: review creative |

### Weekly Metrics Tracking

| Metric | Week 3 | Week 4 | Trend |
|--------|--------|--------|-------|
| Conversions (total) | ____ | ____ | ↑ ↓ → |
| Revenue | $_____ | $_____ | ↑ ↓ → |
| ROAS (blended) | ____x | ____x | ↑ ↓ → |
| Spend | $_____ | $_____ | ↑ ↓ → |
| CPC (avg) | $_____ | $_____ | ↑ ↓ → |
| Conversion rate | ____% | ____% | ↑ ↓ → |

### Exit Gate for Phase 3
- [ ] Campaign is 28+ days old
- [ ] 15+ conversions in the most recent 14-day window
- [ ] ROAS is showing a trend (even if below target)
- [ ] No major policy or approval issues

### What to Do If Stuck
- **  5 conversions in 4 weeks**: Problem is upstream (feed, landing page, offer). Do not change bidding. Fix the conversion funnel.
- **Spending budget but 0 conversions**: Check conversion tracking setup. Verify purchase event is firing.
- **Spending only 30-50% of budget**: Asset quality may be limiting. Refresh headlines, descriptions, images.

---

## Phase 3: Loose tROAS Introduction (Week 5-6)

### Strategy: Maximize Conversion Value with tROAS set 20% BELOW break-even

### How to Calculate Your Loose tROAS

```
Step 1: What is your break-even ROAS?
        Break-even ROAS = 1 / Gross Margin %
        Example: 40% margin → 1 / 0.40 = 2.5x break-even

Step 2: Subtract 20%
        Loose tROAS = Break-even ROAS × 0.80
        Example: 2.5x × 0.80 = 2.0x loose target

Step 3: Apply to campaign
```

### tROAS Calculation Worksheet

| Your Numbers | Value |
|-------------|-------|
| Average gross margin | ____% |
| Break-even ROAS (1 ÷ margin) | ____x |
| 20% reduction (break-even × 0.80) | ____x |
| **Your loose tROAS target** | **____x** |

### Per-Campaign Transition

| Campaign | Loose tROAS | Notes |
|----------|------------|-------|
| Feed-Only PMax | ____x | Apply first — most data, most stable |
| Demand Gen | ____x | Apply second (1 week after Feed-Only) |
| Remarketing PMax | ____x | Apply last — remarketing often over-delivers, so a loose target still performs |

**Stagger the transitions**: Do not apply tROAS to all campaigns simultaneously. Apply to Feed-Only first, wait 7 days, then Demand Gen, wait 7 days, then Remarketing. This prevents account-wide learning disruption.

### What to Expect
- **Week 5**: Volume may dip 10-20% as the algorithm adjusts. This is normal.
- **Week 6**: Volume should recover. ROAS should cluster around or above your loose target.
- **If volume drops 40%+**: Target is too aggressive even at 20% below break-even. Reduce by another 10%.

### Exit Gate for Phase 4
- [ ] Loose tROAS has been active for 14+ days
- [ ] Volume has recovered to within 80% of Phase 2 levels
- [ ] 30+ conversions in the most recent 30-day window
- [ ] ROAS is at or above the loose target

---

## Phase 4: Target tROAS (Week 7-8)

### Strategy: tROAS at your actual profitable target

### Transition Rule
**Only tighten tROAS if you have 30+ conversions in the last 30 days AND ROAS has been stable for 14+ days.**

### How to Tighten

```
Step 1: Current loose tROAS = ____x
Step 2: Your profitable tROAS = ____x (break-even ROAS + profit margin)
Step 3: Gap = profitable - loose = ____x
Step 4: Close gap in 2 steps over 2 weeks:
        - Week 7: Move tROAS to halfway point
        - Week 8: Move tROAS to full target
```

### Worked Example

| Step | tROAS | Action |
|------|-------|--------|
| Phase 3 (loose) | 2.0x | Starting point |
| Week 7 | 2.5x | Halfway to 3.0x target |
| Week 8 | 3.0x | Full profitable target |

### Per-Campaign Tracking

| Campaign | Phase 3 tROAS | Week 7 tROAS | Week 8 tROAS | Actual ROAS | Volume Change |
|----------|---------------|-------------|-------------|-------------|---------------|
| Feed-Only | ____x | ____x | ____x | ____x | ____% |
| Demand Gen | ____x | ____x | ____x | ____x | ____% |
| Remarketing | ____x | ____x | ____x | ____x | ____% |

### Exit Gate for Phase 5
- [ ] tROAS is at your profitable target
- [ ] Volume is within 70% of Phase 3 levels (some volume loss is expected when tightening)
- [ ] ROAS is consistently at or above target for 14+ days
- [ ] No campaign is stuck in "Learning" status

### What to Do If Volume Collapses
If volume drops more than 40% after tightening to target:
1. **Roll back** to the halfway tROAS for 14 days
2. **Investigate**: Is the target realistic? Do you have enough conversion volume?
3. **Retry**: After 14 days of stability, try tightening again in smaller increments (5% at a time)

---

## Phase 5: Optimization (Week 9-12)

### Strategy: Fine-tune tROAS in 5-10% increments based on performance

### Weekly Optimization Protocol

| Week | Action | Max Change |
|------|--------|------------|
| Week 9 | Assess stability. If ROAS 15%+ above target for 7 days → tighten 5% | 5% |
| Week 10 | If volume held → hold. If volume dropped → loosen 5% | 5% |
| Week 11 | Evaluate each campaign independently. Best-performing may tolerate tighter target | 5-10% |
| Week 12 | Full 12-week assessment. Set "cruising altitude" tROAS for next quarter | 10% |

### The 12-Week Assessment

At the end of week 12, complete this summary:

| Campaign | Launch ROAS | Current ROAS | Launch Volume | Current Volume | Final tROAS |
|----------|------------|-------------|--------------|----------------|-------------|
| Feed-Only | ____x | ____x | ____ conv | ____ conv | ____x |
| Demand Gen | ____x | ____x | ____ conv | ____ conv | ____x |
| Remarketing | ____x | ____x | ____ conv | ____ conv | ____x |
| **Account Total** | ____x | ____x | ____ conv | ____ conv | |

---

## Common Mistakes at Each Phase

### Phase 1 Mistakes
| Mistake | Why It's Wrong | Fix |
|---------|---------------|-----|
| Adding tROAS on day 1 | Zero conversion data = blind optimization | Start with no target, gather data first |
| Panicking at high CPCs | PMax explores aggressively early on | Wait 14 days before judging CPC |
| Changing assets daily | Constant changes prevent learning | Lock assets for 14 days minimum |

### Phase 2 Mistakes
| Mistake | Why It's Wrong | Fix |
|---------|---------------|-----|
| Judging ROAS too early | 4 weeks isn't enough for a trend | Wait for 30+ conversions before assessing |
| Killing campaigns at 2.0x when target is 4.0x | ROAS improves as algorithm learns | Hold if trend is improving week over week |
| Adding search themes too aggressively | Dilutes the algorithm's focus | Start with 3-5 themes, add gradually |

### Phase 3 Mistakes
| Mistake | Why It's Wrong | Fix |
|---------|---------------|-----|
| Setting tROAS at break-even (not 20% below) | Too tight, chokes volume | Use the 20%-below formula |
| Applying tROAS to all campaigns same day | Account-wide learning disruption | Stagger by 7 days per campaign |
| Reverting after 3 days of lower volume | Learning period needs 14 days | Wait full 14 days before reverting |

### Phase 4 Mistakes
| Mistake | Why It's Wrong | Fix |
|---------|---------------|-----|
| Jumping from loose to aggressive in one move | 50%+ tROAS changes trigger extended learning | Close gap in 2 steps over 2 weeks |
| Expecting all campaigns to hit the same ROAS | Demand Gen and Feed-Only have different dynamics | Set per-campaign targets |
| Ignoring assisted conversions | Demand Gen assists Feed-Only conversions | Evaluate Demand Gen on blended contribution |

### Phase 5 Mistakes
| Mistake | Why It's Wrong | Fix |
|---------|---------------|-----|
| Tightening tROAS weekly | Too frequent = constant learning periods | Minimum 14 days between changes |
| Same tROAS for all campaigns | Different campaign types need different targets | Remarketing often supports higher targets |
| Never loosening when volume drops | "Only up" mentality loses volume permanently | Loosen when volume drops 30%+ for 14 days |

---

## Per-Campaign Bidding Paths

### Feed-Only PMax

```
Week 1-2: Max Conv Value (no target)
Week 3-4: Max Conv Value (no target, gathering data)
Week 5-6: tROAS at 20% below break-even
Week 7-8: tROAS at profitable target
Week 9+: tROAS optimization (5-10% adjustments)
```

**Expected timeline to stable tROAS**: 6-8 weeks
**Minimum conversions needed**: 30+ in 30 days before adding tROAS

### Demand Gen

```
Week 1-2: Max Conv Value (no target)
Week 3-4: Max Conv Value (creative testing phase)
Week 5-6: Max Conv Value (still gathering, Demand Gen is slower to convert)
Week 7-8: tROAS at 30% below break-even (looser than Feed-Only)
Week 9-12: tROAS tightening in 5% increments
```

**Expected timeline to stable tROAS**: 8-12 weeks (Demand Gen converts slower)
**Minimum conversions needed**: 30+ in 30 days, but expect 8-10 week ramp

### Remarketing PMax

```
Week 1-2: Max Conv Value (no target)
Week 3-4: Max Conv Value (retargeting data accumulates fast)
Week 5-6: tROAS at 10% below break-even (tighter than Feed-Only, warm audience)
Week 7-8: tROAS at profitable target or above
Week 9+: tROAS optimization (can often run 20-30% above Feed-Only target)
```

**Expected timeline to stable tROAS**: 4-6 weeks (warm audiences convert fast)
**Minimum conversions needed**: 20+ in 30 days (lower threshold, higher-quality data)

---

## Tracking Table

Use this table to record your weekly metrics during the 12-week warmup.

| Week | Phase | Feed-Only ROAS | Feed-Only Conv | DG ROAS | DG Conv | RMK ROAS | RMK Conv | Changes Made |
|------|-------|----------------|----------------|---------|---------|----------|----------|-------------|
| 1 | Data | | | | | | | |
| 2 | Data | | | | | | | |
| 3 | Value | | | | | | | |
| 4 | Value | | | | | | | |
| 5 | Loose | | | | | | | |
| 6 | Loose | | | | | | | |
| 7 | Target | | | | | | | |
| 8 | Target | | | | | | | |
| 9 | Optimize | | | | | | | |
| 10 | Optimize | | | | | | | |
| 11 | Optimize | | | | | | | |
| 12 | Optimize | | | | | | | |

---

## Interpretation Guide

| Situation | What It Means | Action |
|-----------|--------------|--------|
| ROAS improving each week but below target | Algorithm is learning — on the right trajectory | Hold, don't tighten yet |
| ROAS flat for 3+ weeks | Algorithm may have plateaued at current volume | Check if feed quality or creative is limiting |
| Volume drops 40% after adding tROAS | Target is too aggressive for current data density | Roll back to loose target for 14 days |
| Demand Gen shows 0 conversions in Phase 2 | Normal — Demand Gen has 14-21 day conversion lag | Wait until week 6 to judge, check view-through conversions |
| Remarketing outperforms Feed-Only by 2x+ | Expected — warm audiences always convert better | Don't shift budget from Feed-Only (it feeds the remarketing pool) |
| All campaigns stuck in "Learning" simultaneously | You changed too many things at once | Wait 14 days, make zero changes, let all campaigns exit learning |

---

*This transition planner accompanies Part 3: Bidding   Budget of The PMax Mastery System.*

---

*From: The PMax Mastery System*
*P.M.A.X. Protocol: Performance Max Architecture for Excellence*


# Policy Compliance Checklist

**Purpose**: Prevent Google Ads and Merchant Center disapprovals before they happen. Includes a pre-launch audit, monthly maintenance protocol, and a disapproval fix workflow.

---

## Pre-Launch Policy Audit (25-Point Checklist)

Complete before enabling any PMax campaign.

### Landing Page Requirements
- [ ] **1. Price match**: Price on landing page matches Merchant Center feed price exactly
- [ ] **2. Availability match**: In-stock/out-of-stock status matches feed
- [ ] **3. Shipping info visible**: Shipping costs and estimated delivery clearly shown (or free shipping badge)
- [ ] **4. Return policy**: Return/refund policy linked from product page or site footer
- [ ] **5. Contact info**: Business contact method accessible within 2 clicks (email, phone, or chat)
- [ ] **6. Privacy policy**: Privacy policy page linked from footer
- [ ] **7. Secure checkout**: HTTPS on all pages, valid SSL certificate
- [ ] **8. No broken links**: All product page links resolve (images, reviews, related products)
- [ ] **9. Mobile-friendly**: Product pages pass Google Mobile-Friendly test
- [ ] **10. Page load speed**: Under 3 seconds on mobile (test with PageSpeed Insights)

### Merchant Center Feed
- [ ] **11. GTIN/MPN present**: GTINs for all branded products (or MPNs with brand for custom/handmade)
- [ ] **12. Image quality**: Primary image 800x800px minimum, white background, no text overlays, no watermarks
- [ ] **13. Title accuracy**: Product title matches actual product name on landing page
- [ ] **14. Description accuracy**: No promotional language in description (no "SALE", "FREE SHIPPING", "BEST PRICE")
- [ ] **15. Availability status**: Feed `availability` matches actual stock levels
- [ ] **16. Price format**: Price in correct currency, includes tax if required by target country
- [ ] **17. Product category**: Google product category assigned (not just custom category)
- [ ] **18. Shipping settings**: Shipping configured in Merchant Center matching actual shipping costs

### Text Asset Policy
- [ ] **19. No ALL CAPS**: Headlines and descriptions use sentence or title case only
- [ ] **20. No excessive punctuation**: No "!!!" or "???" or "..." — one exclamation mark maximum per asset
- [ ] **21. No superlatives without proof**: Claims like "best", "#1", "top-rated" require third-party verification
- [ ] **22. No misleading claims**: Assets accurately represent what the product does
- [ ] **23. No phone numbers in text**: Phone numbers belong in call extensions, not headlines

### Image Asset Policy
- [ ] **24. No misleading imagery**: Product images show actual product (no stock photos pretending to be your product)
- [ ] **25. No click-bait**: No fake buttons, fake play icons, or deceptive visual elements in image assets

---

## Misrepresentation Risks (The #1 PMax Disapproval Cause)

### What Triggers Misrepresentation Flags

| Trigger | Example | Fix |
|---------|---------|-----|
| **Price mismatch** | Feed says $29.99, landing page says $34.99 | Sync feed prices with live prices (use API or supplemental feed) |
| **Misleading promotion** | "50% OFF" in ad but no visible discount on page | Remove discount language from assets or add visible sale on page |
| **Unavailable product** | Feed shows "in stock" but page shows "sold out" | Implement real-time availability sync |
| **Unsubstantiated claims** | "Doctor recommended" with no source | Remove claim or add verifiable source |
| **Hidden costs** | Product price doesn't include mandatory fees | Include all mandatory costs in the product price |
| **Bridge page** | Landing page exists solely to redirect to another site | Send traffic directly to the final destination page |

### Bridge Page Detection and Avoidance

A "bridge page" is a thin page that exists primarily to send users somewhere else. Google actively detects and flags these.

**Your page IS a bridge page if**:
- Primary purpose is a redirect or affiliate link
- Minimal original content (  200 words)
- No product information, reviews, or value beyond the link
- Template-generated with no unique content

**Your page is NOT a bridge page if**:
- Contains original product descriptions, images, and details
- Has customer reviews or ratings
- Provides shipping, return, and contact information
- Users can complete a purchase on your site

---

## Trademark Policy

### When You CAN Use Competitor Names
| Context | Allowed? | Example |
|---------|----------|---------|
| Comparative advertising in assets | Yes (with conditions) | "Compare to [Brand X]" if comparison is factual |
| Custom audiences (search terms) | Yes | Using "[Competitor] alternative" as audience signal |
| Search themes | Yes | Adding "[Competitor]" as a search theme |
| In product descriptions | No | Don't claim association with a competitor |
| In product titles | No | Don't use competitor brand names in your product titles |

### When You CANNOT Use Competitor Names
- Never imply partnership, endorsement, or affiliation
- Never use competitor's trademarked logo in your image assets
- Never use competitor names in your display URL
- If a trademark owner files a complaint, Google will suspend the asset immediately

### Safe Competitor Targeting Approach
1. Use competitor names in **audience signals** (custom segments) — always allowed
2. Use competitor names in **search themes** — always allowed
3. Keep competitor references out of **text assets and images** — avoid risk entirely
4. Use comparison language on **your landing page** (where trademark rules are looser)

---

## Disapproval Fix Workflow

When you get a disapproval, follow this 4-step process:

### Step 1: Identify
- [ ] Which asset or product is disapproved?
- [ ] What is the specific policy violation? (Check "Policy details" in Google Ads)
- [ ] Is it an account-level suspension or asset-level disapproval?
- [ ] When did the disapproval occur? (Recent change may be the cause)

### Step 2: Diagnose

| Disapproval Type | Most Common Cause | Where to Look |
|-----------------|-------------------|---------------|
| Misrepresentation | Price/availability mismatch | Merchant Center   Diagnostics |
| Misleading content | Unsubstantiated claims in assets | Asset text and landing page |
| Destination not working | 404 or SSL error | Landing page URL |
| Restricted content | Product category issue | Product type in feed |
| Trademark | Competitor name in asset text | Headlines and descriptions |
| Policy circumvention | Trying to bypass a previous disapproval | Account history |
| Image quality | Low resolution or text overlay | Image assets |

### Step 3: Fix
- [ ] Make the specific change needed to resolve the violation
- [ ] Document what was changed and why (keep a policy log)
- [ ] Verify the fix is live (clear cache, check from incognito)

### Step 4: Request Review
- [ ] In Merchant Center: Products   Needs attention   Request review
- [ ] In Google Ads: Ads   assets   Edit   Request review
- [ ] Review timeline: 1-3 business days (standard), 5-7 days (complex)
- [ ] If rejected again: Contact Google Ads support with documentation of changes made

### Escalation Protocol
| Attempt | Action | Timeline |
|---------|--------|----------|
| 1st request | Fix + request review | 1-3 days |
| 2nd request | Different fix approach + request review | 3-5 days |
| 3rd attempt | Contact Google Ads support (chat or phone) | Same day |
| Account suspension | Google Ads support escalation + full compliance review | 5-10 days |

---

## Merchant Center Disapproval Categories

### Feed-Level Disapprovals

| Category | Common Issues | Fix |
|----------|--------------|-----|
| **Missing required attributes** | No GTIN, no brand, no product type | Add required attributes to feed |
| **Invalid price** | Wrong currency, missing tax, price = 0 | Correct price format and value |
| **Image quality** | Too small, placeholder, stock photo | Replace with 800x800+ product photos |
| **Landing page crawl error** | Google can't access the page | Check robots.txt, fix 404s, verify page loads |
| **Incorrect availability** | Feed says in-stock, page shows sold out | Sync availability in real-time |
| **Automatic item disapproval** | Google's crawler found a mismatch | Run "Feed rules" diagnostic in MC |

### Account-Level Issues

| Issue | Severity | Fix |
|-------|----------|-----|
| **Misrepresentation (account)** | Critical — all ads paused | Full site audit, contact support, compliance remediation |
| **Policy circumvention** | Critical — potential permanent ban | Stop all workarounds, submit honest compliance plan |
| **Free listing suspension** | Medium — Shopping + PMax affected | Fix flagged products, request account review |
| **Shipping configuration error** | Low — products paused until fixed | Update shipping settings in MC to match actual rates |

---

## Monthly Policy Maintenance Checklist

Complete on the 1st of each month (20 minutes):

### Feed Health
- [ ] Run Merchant Center Diagnostics — note disapproved items count
- [ ] Fix all "critical" disapprovals (price mismatch, availability)
- [ ] Review "Account issues" tab for warnings
- [ ] Spot-check 10 random products: does feed data match landing page?

### Asset Review
- [ ] Check all text assets for policy compliance (no ALL CAPS, no superlatives)
- [ ] Review any assets marked "Limited" — Google may be restricting reach
- [ ] Verify all image assets meet quality standards (resolution, no text overlays)
- [ ] Check for any new disapprovals in the last 30 days

### Landing Page Audit
- [ ] Test 5 product landing pages on mobile — do they load in under 3 seconds?
- [ ] Verify checkout flow works end-to-end (add to cart → checkout → confirmation)
- [ ] Check that shipping, return, and contact info are accessible
- [ ] Verify SSL certificate is valid (no browser warnings)

### Competitive Compliance
- [ ] Are any text assets using competitor names? (Remove if in headlines/descriptions)
- [ ] Are comparison claims on landing pages factual and current?
- [ ] Any trademark complaints received? (Check Google Ads notifications)

### Documentation
- [ ] Update policy log with any changes made
- [ ] Note any new Google policy updates (check Google Ads blog quarterly)
- [ ] Record disapproval-to-fix ratio (tracking improvement over time)

---

## Policy Log Template

| Date | Asset/Product | Violation | Fix Applied | Review Status | Resolved Date |
|------|--------------|-----------|-------------|---------------|---------------|
| | | | | | |
| | | | | | |
| | | | | | |
| | | | | | |
| | | | | | |

---

## Worked Example

**Business**: DTC supplement brand. 85 products. Running 3-campaign PMax architecture at $30K/month. Hit with 12 product disapprovals and 1 account-level misrepresentation warning.

### The Problem
- 8 products: Price mismatch (sale prices on site not reflected in feed)
- 3 products: "Best-selling" claim in feed description without verification
- 1 product: Image showed a lifestyle photo with text overlay ("NEW FORMULA!")
- Account warning: Google flagged the pattern of price mismatches as potential misrepresentation

### The Fix (completed in 48 hours)

**Day 1 — Price mismatches (8 products)**:
1. Identified the root cause: Sale prices on Shopify weren't syncing to Merchant Center supplemental feed
2. Updated supplemental feed to pull `sale_price` and `sale_price_effective_date` from Shopify
3. Manually corrected all 8 product prices in feed
4. Requested review for all 8 products

**Day 1 — Superlative claims (3 products)**:
1. Removed "Best-selling" from feed descriptions
2. Replaced with factual language: "Over 10,000 units sold" (verifiable from order data)
3. Requested review

**Day 1 — Image policy (1 product)**:
1. Replaced lifestyle image with clean product-on-white image
2. Added lifestyle image as additional_image (allowed in secondary images)
3. Requested review

**Day 2 — Account warning**:
1. Contacted Google Ads support via chat
2. Provided documentation of all fixes made
3. Showed supplemental feed automation to prevent future mismatches
4. Account warning lifted within 3 business days

### Outcome
- All 12 products re-approved within 2 business days
- Account warning cleared on day 5
- Implemented monthly audit to prevent recurrence
- Zero disapprovals in the following 3 months

---

## Interpretation Guide

| Situation | What It Means | Action |
|-----------|--------------|--------|
| 1-2 product disapprovals | Normal, fix quickly | Follow disapproval workflow |
| 10+ simultaneous disapprovals | Systemic issue (feed sync, site change) | Pause and investigate root cause before fixing individually |
| Account-level warning | Google sees a pattern | Fix all issues AND contact support proactively |
| Asset "Limited" (not disapproved) | Google is restricting reach | Rewrite asset to be more conservative |
| Repeated disapprovals for same product | Underlying issue not resolved | Check if feed automation is overwriting your fix |
| "Policy circumvention" flag | Google thinks you're trying to game the system | Stop ALL workaround attempts, submit genuine compliance plan |

---

*This compliance checklist accompanies Part 4: Operations   Compliance of The PMax Mastery System.*

---

*From: The PMax Mastery System*
*P.M.A.X. Protocol: Performance Max Architecture for Excellence*


# Demand Gen Video Specs   Hook Rotation

**Purpose**: Complete video specifications, creative structure, and hook rotation system for Demand Gen campaigns. Covers format specs, duration guidelines, fatigue detection, and the bench/active strategy for sustained performance.

---

## Video Format Specifications

### Required Specs

| Spec | Requirement |
|------|-------------|
| **Format** | MP4 or MOV |
| **Duration** | 6-60 seconds |
| **Resolution** | 1080p minimum (1920x1080 for 16:9) |
| **File size** | Max 256 MB |
| **Audio** | Required (videos with audio outperform silent by 2-3x) |
| **Captions** | Recommended (85% of feed video watched without sound) |

### Aspect Ratios

| Ratio | Dimensions | Placement | Priority |
|-------|-----------|-----------|----------|
| **16:9** (landscape) | 1920×1080 | YouTube in-stream, YouTube feed | Must have |
| **1:1** (square) | 1080×1080 | YouTube Shorts feed, Discover, Gmail | Must have |
| **9:16** (vertical) | 1080×1920 | YouTube Shorts, Discover mobile | Must have |

**Minimum asset set**: You need all 3 aspect ratios for full placement coverage. A single 16:9 video loses 40-60% of Shorts and Discover inventory.

### Aspect Ratio Planning Table

| Video Concept | 16:9 Version | 1:1 Version | 9:16 Version | Status |
|---------------|-------------|-------------|-------------|--------|
| | [ ] | [ ] | [ ] | |
| | [ ] | [ ] | [ ] | |
| | [ ] | [ ] | [ ] | |
| | [ ] | [ ] | [ ] | |
| | [ ] | [ ] | [ ] | |

---

## Duration Guidelines by Placement

| Duration | Best For | Placement | Use Case |
|----------|---------|-----------|----------|
| **6-15 seconds** | Bumper-style | YouTube pre-roll, Shorts | Brand awareness, retargeting, simple message |
| **16-30 seconds** | Standard | YouTube in-stream, Discover | Product demo, single benefit, testimonial |
| **31-60 seconds** | Storytelling | YouTube in-stream (skippable) | Problem-solution narrative, complex product |

### Duration Rules of Thumb
- **First 3 seconds decide everything**: 65% of viewers drop off before second 5
- **Sweet spot for conversions**: 15-30 seconds
- **Anything over 30 seconds**: Must earn every second — cut ruthlessly
- **Shorts/vertical**: 15-20 seconds optimal (matches native content cadence)

---

## Creative Structure: The 4-Part Framework

Every high-converting Demand Gen video follows this structure:

### Hook (0-3 seconds)
**Goal**: Stop the scroll. Make them stay.

| Hook Type | Example | When to Use |
|-----------|---------|-------------|
| **Pattern interrupt** | Unexpected visual or sound | Low awareness audience |
| **Question** | "Still using [outdated method]?" | Problem-aware audience |
| **Bold claim** | "[Specific result] in [timeframe]" | Solution-aware audience |
| **Social proof** | "12,000 [people] switched to..." | Social validation |
| **Curiosity gap** | "I stopped [common practice] and..." | Content-savvy audience |

### Problem (3-8 seconds)
**Goal**: Confirm the viewer's pain point so they think "that's me."

- Name the specific problem (not generic)
- Use customer language (from reviews, Reddit, support tickets)
- Show, don't just tell (visual of the frustration)

### Solution (8-15 seconds)
**Goal**: Present your product as the answer.

- Product demo or lifestyle use
- One key differentiator (not a feature list)
- Show the transformation or result

### CTA (15-20 seconds)
**Goal**: Tell them exactly what to do next.

- Clear action: "Shop now", "See the collection", "Get yours"
- Reinforce offer if applicable: "Free shipping today"
- End card with brand/product for 2-3 seconds

---

## Hook Rotation System

### Why Hooks Rotate
The same hook loses effectiveness after 2-4 weeks because your target audience has seen it. Frequency builds familiarity, and familiarity kills curiosity. The body of your video (problem → solution → CTA) can stay the same — the hook is what needs to change.

### Rotation Rules
- **3-5 hooks per product** at minimum
- **Rotate every 2-4 weeks** (or when fatigue triggers hit)
- **Keep the video body identical** — only swap the first 3 seconds
- **Label each hook version** for tracking (e.g., "HookA-ProductDemo-30s")

### Hook Rotation Calendar

| Week | Active Hook | Performance | Fatigue Triggered? | Action |
|------|------------|-------------|-------------------|--------|
| 1-2 | Hook A | CTR: ____% | | |
| 3-4 | Hook A or B | CTR: ____% | [ ] Yes [ ] No | |
| 5-6 | Hook B or C | CTR: ____% | [ ] Yes [ ] No | |
| 7-8 | Hook C or D | CTR: ____% | [ ] Yes [ ] No | |
| 9-10 | Hook D or E | CTR: ____% | [ ] Yes [ ] No | |
| 11-12 | Refresh A or new hook | CTR: ____% | [ ] Yes [ ] No | |

### Hook Inventory Worksheet

| Hook # | Type | First 3 Seconds | Status |
|--------|------|-----------------|--------|
| A | | | [ ] Active [ ] Bench [ ] Retired |
| B | | | [ ] Active [ ] Bench [ ] Retired |
| C | | | [ ] Active [ ] Bench [ ] Retired |
| D | | | [ ] Active [ ] Bench [ ] Retired |
| E | | | [ ] Active [ ] Bench [ ] Retired |

---

## Fatigue Triggers

### When to Rotate Creative

| Signal | Threshold | What It Means |
|--------|-----------|---------------|
| **CTR drop** |  20% decline week-over-week | Audience has seen it, novelty gone |
| **Frequency** |  3x per user over 7 days | Overexposure — diminishing returns |
| **View rate drop** |  15% decline week-over-week | Hook isn't stopping the scroll anymore |
| **Cost per view increase** |  25% increase week-over-week | Google is bidding more to get the same views |
| **Conversion rate decline** |  20% decline over 14 days | Full-funnel fatigue, not just awareness |

### Fatigue Decision Tree

```
CTR dropped 20%+ week-over-week?
├── YES → Check frequency
│   ├── Frequency   3x → Rotate hook immediately
│   └── Frequency   3x → Test new hook alongside current (A/B)
└── NO → Hold current creative
         └── Monitor weekly
```

### Weekly Fatigue Check (5 min)

- [ ] Pull 7-day CTR for each video asset
- [ ] Compare to previous 7-day period
- [ ] Check frequency metric (impressions ÷ unique users)
- [ ] Flag any asset hitting fatigue triggers
- [ ] Queue next bench creative for rotation if needed

---

## Bench/Active Strategy

### The Concept
Think of it like a sports team roster. You have **starters** (active) and **bench players** (ready to rotate in). When a starter fatigues, a bench player takes their spot.

### Recommended Roster Size

| Per Ad Group | Active | Bench | Total |
|-------------|--------|-------|-------|
| **Minimum** | 3 videos | 5 videos | 8 videos |
| **Recommended** | 5 videos | 10 videos | 15 videos |
| **Aggressive** | 5 videos | 15 videos | 20 videos |

### Bench Management

| Status | Definition | Action |
|--------|-----------|--------|
| **Active** | Running in ad group, getting impressions | Monitor for fatigue |
| **Bench** | Ready to deploy, not currently running | Rotate in when active fatigues |
| **Testing** | New creative being validated | Run for 7 days with small budget before promoting to Active |
| **Retired** | Fatigued, removed from rotation | Rest for 6-8 weeks, then re-test (audiences refresh) |

### Rotation Protocol
1. **Fatigue detected**: Active creative hits one or more fatigue triggers
2. **Bench selection**: Choose bench creative with different hook type than fatiguing asset
3. **Swap**: Pause fatiguing creative, enable bench creative
4. **Monitor**: Watch new creative for 7 days — if CTR holds, it's the new starter
5. **Retire**: Move fatigued creative to "Retired" — can re-enter bench after 6-8 weeks

---

## UGC vs Produced Video Guidelines

### When to Use UGC (User-Generated Content)

| UGC Strengths | Best For |
|--------------|----------|
| Feels authentic, native to social feeds | Discovery/Shorts placements |
| Lower production cost ($100-500/video) | Testing hooks at scale |
| Higher trust signal for new brands | First-time buyer audiences |
| Quick turnaround (3-5 days) | Rapid hook rotation |

### When to Use Produced Video

| Produced Strengths | Best For |
|-------------------|----------|
| Higher perceived quality | YouTube in-stream |
| Better product demo capability | Complex or premium products |
| Brand consistency | Retargeting/remarketing |
| Longer shelf life before fatigue | Hero/evergreen campaigns |

### Optimal Mix
- **New account (Month 1-3)**: 70% UGC / 30% Produced — test fast, find what works
- **Scaling account (Month 3-6)**: 50% UGC / 50% Produced — winners from both styles
- **Mature account (Month 6+)**: 40% UGC / 60% Produced — invest in proven angles

---

## Video Asset Naming Convention

Use this naming system for organizing assets across Google Ads, creative folders, and tracking:

```
[Product]-[HookType]-[Duration]-[Ratio]-[Version]
```

### Examples
- `yoga-mat-question-30s-16x9-v1`
- `kettlebell-proof-15s-9x16-v2`
- `resistance-band-ugc-20s-1x1-v1`

### Hook Type Codes
| Code | Hook Type |
|------|-----------|
| `question` | Question hook |
| `claim` | Bold claim |
| `proof` | Social proof |
| `interrupt` | Pattern interrupt |
| `curiosity` | Curiosity gap |
| `ugc` | UGC testimonial |

---

## Performance Tracking Template

### Per-Video Metrics (Weekly)

| Video Asset | CTR | View Rate | Conv Rate | Cost/Conv | Freq | Status |
|------------|-----|-----------|-----------|-----------|------|--------|
| | % | % | % | $ | x | Active/Bench |
| | % | % | % | $ | x | Active/Bench |
| | % | % | % | $ | x | Active/Bench |
| | % | % | % | $ | x | Active/Bench |
| | % | % | % | $ | x | Active/Bench |

### Monthly Creative Summary

| Month | Videos Active | Videos Rotated | Avg CTR | Best Performer | Worst Performer |
|-------|-------------|---------------|---------|----------------|-----------------|
| | | | | | |
| | | | | | |
| | | | | | |

---

## Worked Example

**Business**: DTC skincare brand. Launching Demand Gen campaign at $5K/month. 3 hero products (serum, moisturizer, cleanser). Target audience: women 25-45 interested in clean beauty.

### Initial Creative Roster (15 videos)

**Active (5)**:
1. `serum-question-20s-16x9-v1` — "Still using a serum with parabens?"
2. `moisturizer-proof-15s-9x16-v1` — "30,000 women made the switch..."
3. `cleanser-ugc-25s-1x1-v1` — UGC testimonial, before/after
4. `bundle-claim-30s-16x9-v1` — "Clear skin in 14 days or your money back"
5. `serum-curiosity-15s-9x16-v1` — "My dermatologist said stop doing this..."

**Bench (10)**:
6-10. Same products, different hook types (interrupt, different UGC, different proof points)
11-15. Same hooks, different aspect ratios for coverage gaps

### Week 4 — Fatigue Check

| Video | Week 3 CTR | Week 4 CTR | Change | Action |
|-------|-----------|-----------|--------|--------|
| serum-question-20s | 3.2% | 2.4% | -25% | **Rotate** — below -20% threshold |
| moisturizer-proof-15s | 4.1% | 3.8% | -7% | Hold |
| cleanser-ugc-25s | 2.8% | 2.9% | +4% | Hold |
| bundle-claim-30s | 1.9% | 1.5% | -21% | **Rotate** — below -20% threshold |
| serum-curiosity-15s | 3.5% | 3.3% | -6% | Hold |

**Actions taken**:
- Paused `serum-question-20s-v1`, activated bench `serum-interrupt-20s-v1`
- Paused `bundle-claim-30s-v1`, activated bench `bundle-proof-20s-v1`
- Moved both retired creatives to 6-week rest period
- Ordered 3 new UGC videos to replenish bench

---

## Interpretation Guide

| Situation | What It Means | Action |
|-----------|--------------|--------|
| High view rate (40%+) but low CTR | People watch but don't click — CTA is weak | Strengthen CTA, add urgency, test different end cards |
| High CTR but low conversion rate | Click is compelling but landing page doesn't convert | Fix landing page, check message match |
| All videos fatiguing simultaneously | Audience is saturated, not just creative | Expand audience targeting, add new segments |
| UGC outperforms produced 3x+ | Your audience values authenticity over polish | Shift budget toward UGC, invest in creator partnerships |
| 9:16 videos outperform 16:9 by 2x+ | Your audience is mobile/Shorts-first | Prioritize vertical-first creative production |
| Bench videos perform poorly when activated | Bench wasn't tested — just assumed quality | Always run a 7-day test at small budget before promoting to Active |

---

*This spec sheet accompanies Part 2: Creative   Asset Strategy of The PMax Mastery System.*

---

*From: The PMax Mastery System*
*A.S.S.E.T. Protocol: Asset Scoring, Staging, Evaluation   Testing*


# Campaign Warmup Timeline

**Purpose**: Day-by-day guide for your first 30 days with a new PMax campaign. Each day includes what to check, what to change, and what NOT to change. Prevents the most common launch mistakes.

---

## Day 1: Launch Verification (Paused State)

**Time required**: 30 minutes

### Before enabling, verify:
- [ ] All asset groups have required assets (headlines, descriptions, images, logos)
- [ ] Listing group filters match intended products (no overlap with other campaigns)
- [ ] Audience signals are configured (custom segments, in-market, customer lists)
- [ ] Bidding is set to Maximize Conversion Value (no tROAS target)
- [ ] Daily budget is set correctly (see Multi-Campaign Budget Planner)
- [ ] Conversion tracking is firing (test purchase or use Tag Assistant)
- [ ] Feed products are approved in Merchant Center (no disapprovals)
- [ ] Final URL expansion is set to your preference (OFF for Feed-Only, ON for TOF)
- [ ] Search themes are added (3-5 per asset group maximum)
- [ ] Negative keyword lists are applied (brand exclusions if needed)

### What NOT to do:
- Do not enable the campaign until ALL items above are checked
- Do not add tROAS on day 1
- Do not launch more than 2 new campaigns simultaneously

**Decision gate**: All items checked → Enable campaign. Any item missing → Fix first, launch tomorrow.

---

## Day 2: First Impressions Check

**Time required**: 10 minutes

### What to check:
- [ ] Is the campaign serving impressions? (Check within 4 hours of enabling)
- [ ] Are all asset groups getting at least some impressions?
- [ ] Any asset disapprovals? (Check Ads   assets   Assets for policy flags)
- [ ] Is spend tracking? (Should see some spend within 6-8 hours)

### If 0 impressions after 4 hours:
1. Check campaign status — is it actually enabled?
2. Check asset group status — any paused or disapproved?
3. Check Merchant Center — are products approved?
4. Check listing group filters — too restrictive?
5. Check budget — is daily budget set above $0?

### What to change: Nothing (unless there's a critical error)
### What NOT to change: Budget, bidding, assets, audiences

---

## Day 3-7: Daily Monitoring (5 minutes/day)

### Daily check:
- [ ] Campaign is spending (at least 50% of daily budget by day 5)
- [ ] Impressions are growing day over day
- [ ] No new disapprovals
- [ ] Click-through rate is above 0.5% (if below, note but don't act yet)

### Day 5 milestone check:
- [ ] Campaign has served 1,000+ impressions
- [ ] At least 1 conversion recorded (or assisted conversion visible)
- [ ] No asset groups with 0 impressions for 5+ days

### If a metric is off:

| Issue | Threshold | Action |
|-------|-----------|--------|
| Spend   30% of budget for 5 days |   30% utilization | Check audience size, asset quality, listing groups |
| 0 conversions in 5 days | No conversions | Verify conversion tracking first. If tracking is fine, wait until day 14 |
| One asset group gets 90%+ of impressions | Extreme imbalance | Check if other groups have approved assets and valid listing groups |
| CPC is 3x higher than expected | Abnormally expensive | Normal during exploration phase. Note but don't change bids |

### What to change: Only critical fixes (disapprovals, tracking issues)
### What NOT to change: Budget, bidding strategy, asset groups, audience signals

---

## Day 8-14: First Optimization Window

**Time required**: 20 minutes on Day 8 and Day 14

### Day 8 Review:

**Search Terms Check**:
- [ ] Pull search terms report (Insights   Search terms)
- [ ] Identify irrelevant search terms (non-product, wrong intent)
- [ ] Add top irrelevant terms as negative keywords (campaign or account level)
- [ ] Note any unexpected high-performing terms (save for later expansion)

**Placement Check** (PMax only shows aggregated, but check what you can):
- [ ] Review "Where ads showed" if available
- [ ] Note any placements you'd want to exclude (if option available)

**Asset Performance Check**:
- [ ] Are any text assets marked "Low"? (Note but don't remove yet — need more data)
- [ ] Are any image assets getting 0 impressions? (May be disapproved or low quality)
- [ ] Are video assets getting view completions? (If 0 completions, hook may be failing)

### Day 14 Review:

**Performance Snapshot**:

| Metric | Day 1-7 | Day 8-14 | Trend |
|--------|---------|----------|-------|
| Impressions | _____ | _____ | ↑ ↓ → |
| Clicks | _____ | _____ | ↑ ↓ → |
| CTR | ____% | ____% | ↑ ↓ → |
| Conversions | _____ | _____ | ↑ ↓ → |
| Revenue | $_____ | $_____ | ↑ ↓ → |
| ROAS | ____x | ____x | ↑ ↓ → |
| Spend | $_____ | $_____ | ↑ ↓ → |
| CPC (avg) | $_____ | $_____ | ↑ ↓ → |

**Decision gate at day 14**:
- If conversions ≥ 5 and ROAS trend is improving → Continue, healthy launch
- If conversions 1-4 and spend is tracking → Continue, needs more data
- If 0 conversions and full budget spending → Check landing page, offer, tracking
- If 0 conversions and   50% budget spending → Check assets, audiences, feed quality

### What to change:
- Add negative keywords (from search terms report)
- Replace disapproved assets
- Fix any tracking issues discovered

### What NOT to change:
- Do not change bidding strategy
- Do not adjust budget by more than 10%
- Do not add or remove asset groups
- Do not change audience signals

---

## Day 15-21: Asset Performance Review

**Time required**: 30 minutes on Day 15

### Asset Grading

Pull the asset performance report and categorize each asset:

| Rating | Meaning | Action |
|--------|---------|--------|
| **Best** | Top performing | Keep, use as template for new assets |
| **Good** | Performing well | Keep |
| **Low** | Below average | Mark for replacement (but wait until day 21+) |
| **Learning** | Not enough data yet | Wait — needs more impressions |

### Asset Review Table

| Asset Type | Asset Text/Name | Rating | Impressions | Action |
|-----------|----------------|--------|-------------|--------|
| Headline | | | | |
| Headline | | | | |
| Headline | | | | |
| Long headline | | | | |
| Description | | | | |
| Description | | | | |
| Image (landscape) | | | | |
| Image (square) | | | | |
| Image (portrait) | | | | |
| Video | | | | |
| Logo | | | | |

### Replacement Rules
- **Do NOT replace more than 2 assets per asset group per week** (triggers learning phase)
- **Do NOT remove "Low" assets if you don't have a replacement ready**
- **Priority order**: Replace disapproved → Replace "Low" headlines → Replace "Low" images
- **Never replace "Best" assets** (even if you think you can do better — let performance data decide)

### What to change:
- Replace 1-2 "Low" text assets with new variants (if you have better options ready)
- Replace any disapproved assets

### What NOT to change:
- Do not remove more than 2 assets at once
- Do not change bidding or budget
- Do not restructure asset groups

---

## Day 22-28: First Bidding Adjustment Window

**Time required**: 20 minutes on Day 22

### Should You Add tROAS?

Answer these questions:

| Question | Answer |
|----------|--------|
| Has the campaign been running for 28+ days? | [ ] Yes [ ] No |
| Does the campaign have 15+ conversions in the last 14 days? | [ ] Yes [ ] No |
| Is the ROAS trend stable or improving? | [ ] Yes [ ] No |
| Is the campaign spending 80%+ of its daily budget? | [ ] Yes [ ] No |

**If ALL answers are "Yes"**: You may add a loose tROAS (see Bidding Strategy Transition Planner, Phase 3)

**If ANY answer is "No"**: Stay on Maximize Conversion Value. Do not add tROAS yet. Revisit at day 42.

### Budget Assessment

| Question | Answer | Action |
|----------|--------|--------|
| Is ROAS 20%+ above your target? | [ ] Yes | Increase budget by 10% |
| Is ROAS within 10% of target? | [ ] Yes | Hold budget |
| Is ROAS 20%+ below target? | [ ] Yes | Hold budget, investigate (don't cut yet) |
| Is the campaign not spending full budget? | [ ] Yes | Don't increase — fix utilization first |

### What to change:
- Add loose tROAS IF all gates passed
- Adjust budget by up to 10% based on performance
- Replace "Low" assets identified in Day 15-21 review

### What NOT to change:
- Do not add aggressive tROAS (always start loose)
- Do not increase budget more than 10%
- Do not restructure campaigns

---

## Day 29-30: Full 30-Day Review

**Time required**: 45 minutes

### Complete Performance Summary

| Metric | Week 1 | Week 2 | Week 3 | Week 4 | 30-Day Total |
|--------|--------|--------|--------|--------|-------------|
| Impressions | | | | | |
| Clicks | | | | | |
| CTR | | | | | |
| Conversions | | | | | |
| Revenue | | | | | |
| ROAS | | | | | |
| Spend | | | | | |
| CPA | | | | | |
| Conv Rate | | | | | |

### 30-Day Decision Gates

| Scenario | Conversions | ROAS Trend | Decision |
|----------|-------------|-----------|----------|
| **Green light** | 30+ | At or above target | Scale: increase budget 10-15%, add tROAS if not already |
| **Yellow light** | 15-29 | Improving | Hold: continue current settings, review at day 45 |
| **Orange light** | 5-14 | Flat or declining | Investigate: audit feed, landing page, audience signals |
| **Red light** |   5 | Poor | Diagnose: check tracking, check if PMax is the right channel |

### Red Flags That Mean "Pause and Diagnose"

- [ ] 0 conversions after 30 days at full budget → Tracking may be broken
- [ ] ROAS declining every week for 4 straight weeks → Structural problem (feed, audience, landing page)
- [ ] Spend at   30% of budget for 30 days → Assets or audience too restrictive
- [ ] One asset group cannibalizing 95%+ of budget → Listing group or audience overlap issue
- [ ] CPCs 5x higher than industry average with low CTR → Ad relevance problem

### What's Next (Day 31+)

| Current State | Next Action | Timeline |
|---------------|------------|----------|
| Green light, no tROAS | Add loose tROAS (20% below break-even) | Day 31 |
| Green light, loose tROAS active | Begin tightening per Bidding Transition Planner | Day 42+ |
| Yellow light | Second 30-day observation period | Day 31-60 |
| Orange/Red light | Full audit before any scaling | Immediately |

---

## Daily Metrics Tracking Table

| Day | Impressions | Clicks | CTR | Conv | Revenue | Spend | ROAS | Notes |
|-----|------------|--------|-----|------|---------|-------|------|-------|
| 1 | | | | | | | | Launch |
| 2 | | | | | | | | |
| 3 | | | | | | | | |
| 4 | | | | | | | | |
| 5 | | | | | | | | |
| 6 | | | | | | | | |
| 7 | | | | | | | | Week 1 review |
| 8 | | | | | | | | Search terms |
| 9 | | | | | | | | |
| 10 | | | | | | | | |
| 11 | | | | | | | | |
| 12 | | | | | | | | |
| 13 | | | | | | | | |
| 14 | | | | | | | | Day 14 review |
| 15 | | | | | | | | Asset review |
| 16 | | | | | | | | |
| 17 | | | | | | | | |
| 18 | | | | | | | | |
| 19 | | | | | | | | |
| 20 | | | | | | | | |
| 21 | | | | | | | | Week 3 review |
| 22 | | | | | | | | Bidding check |
| 23 | | | | | | | | |
| 24 | | | | | | | | |
| 25 | | | | | | | | |
| 26 | | | | | | | | |
| 27 | | | | | | | | |
| 28 | | | | | | | | Week 4 review |
| 29 | | | | | | | | |
| 30 | | | | | | | | 30-day review |

---

## Worked Example

**Business**: DTC activewear brand. Launching Feed-Only PMax at $200/day ($6K/month). 120 products. Break-even ROAS: 3.0x.

### Day 1 — Launch Verification
All 10 verification items checked. 3 asset groups created: Leggings (50 products), Tops (40 products), Accessories (30 products). Bidding: Maximize Conversion Value (no target). Campaign enabled at 9am.

### Day 2 — First Impressions
- Impressions: 2,400 (healthy)
- All 3 asset groups serving
- No disapprovals
- Spend: $85 of $200 budget (43% — normal for day 1)

### Day 7 — Week 1 Summary
- Impressions: 18,200 | Clicks: 340 | CTR: 1.87%
- Conversions: 3 | Revenue: $380 | ROAS: 2.7x
- Spend: $141/day average (71% utilization — acceptable)
- 3 conversions is low but expected in week 1. No action needed.

### Day 14 — Two-Week Review
- Impressions: 41,600 | Clicks: 820 | CTR: 1.97%
- Conversions: 11 | Revenue: $1,420 | ROAS: 2.9x
- Spend: $168/day average (84% utilization — healthy)
- ROAS improving weekly (2.7x → 2.9x). 11 conversions in 14 days — below the 15 threshold for tROAS but on track. Pulled search terms, added 8 negative keywords. No other changes.

### Day 15 — Asset Performance Review
- "Best" headlines: "Premium Activewear", "Free Shipping Over $75"
- "Low" headline: "Shop the Collection" — replacing with "Performance Fabric, All-Day Comfort"
- All images performing "Good" or "Best"
- Replaced 1 headline. No other changes.

### Day 22 — Bidding Assessment
- 28+ days? No (only 22). **Stay on Max Conv Value.**
- 15+ conversions in 14 days? Yes (14 → close but not quite at 22 days)
- Decision: Wait until day 28 to reassess.

### Day 30 — Full 30-Day Review

| Metric | Week 1 | Week 2 | Week 3 | Week 4 | 30-Day Total |
|--------|--------|--------|--------|--------|-------------|
| Impressions | 18,200 | 23,400 | 26,100 | 27,800 | 95,500 |
| Clicks | 340 | 480 | 530 | 560 | 1,910 |
| CTR | 1.87% | 2.05% | 2.03% | 2.01% | 2.00% |
| Conversions | 3 | 8 | 11 | 14 | 36 |
| Revenue | $380 | $1,040 | $1,470 | $1,890 | $4,780 |
| ROAS | 2.7x | 2.6x | 2.8x | 3.0x | 2.8x |
| Spend | $987 | $1,176 | $1,250 | $1,304 | $4,717 |

**Decision**: GREEN LIGHT
- 36 conversions in 30 days (above 30 threshold)
- ROAS trending up (2.7x → 3.0x), approaching 3.0x break-even
- Action: Add loose tROAS at 2.4x (3.0x break-even × 0.80) on Day 31
- Action: Increase budget to $220/day (+10%)

---

## Interpretation Guide

| Situation | What It Means | Action |
|-----------|--------------|--------|
| Strong impressions but low clicks | Assets aren't compelling enough | Refresh headlines and images (after day 15) |
| Good clicks but 0 conversions | Landing page or tracking issue | Verify conversion tracking, test purchase flow |
| High ROAS but low volume | Algorithm is being too selective | Normal in early learning — volume increases as data builds |
| ROAS declining each week | Algorithmic exploration finding worse segments | Hold through day 21 — if still declining, audit audience signals |
| Budget underspending by 40%+ | Assets or audience too restrictive | Broaden audience signals, add more search themes |
| One asset group dominates spend | Google found a clear winner | May be fine if ROAS is good — but check that smaller groups have viable listings |

---

*This warmup timeline accompanies Part 1: Campaign Setup   Launch of The PMax Mastery System.*

---

*From: The PMax Mastery System*
*P.M.A.X. Protocol: Performance Max Architecture for Excellence*


# Page Feed Setup Guide

**Purpose**: Configure page feeds for your PMax campaigns when running Final URL Expansion OFF. Covers page feed structure, upload process, feed label mapping, custom label strategy, and monthly audit protocol.

---

## What Is a Page Feed and Why It Matters

A page feed is a spreadsheet you upload to Google Ads that tells PMax exactly which URLs it can send traffic to. Without a page feed (and with Final URL Expansion ON), PMax sends traffic to any page on your site — including blog posts, about pages, FAQ pages, and other non-converting destinations.

### The Problem with Final URL Expansion ON
- PMax chooses your landing pages for you
- Traffic lands on blog posts, shipping policy pages, and category pages with no purchase intent
- You lose control of the customer journey
- ROAS drops because Google optimizes for clicks, not purchases

### The Solution: Page Feed + Final URL Expansion OFF
- You define exactly which URLs PMax can use
- Every click lands on a page you've optimized for conversion
- You control the customer journey from ad to purchase
- ROAS improves because every landing page is designed to convert

---

## Page Feed Structure

### Required Columns

| Column | Description | Example |
|--------|-------------|---------|
| **Page URL** | Full URL of the landing page | `https://yourstore.com/products/blue-widget` |
| **Custom Label** | Category tag for organizing pages | `hero-product` |

### Optional Columns

| Column | Description | Example |
|--------|-------------|---------|
| **Page Type** | Classification of the page | `product`, `collection`, `landing-page` |
| **Priority** | Internal ranking (not used by Google) | `high`, `medium`, `low` |
| **Last Updated** | Date of last page update | `2026-03-01` |

### Sample Page Feed

| Page URL | Custom Label |
|----------|-------------|
| https://yourstore.com/products/premium-yoga-mat | hero-product |
| https://yourstore.com/products/resistance-band-set | hero-product |
| https://yourstore.com/products/foam-roller | standard-product |
| https://yourstore.com/products/yoga-block-2pk | standard-product |
| https://yourstore.com/collections/yoga | collection-page |
| https://yourstore.com/collections/strength | collection-page |
| https://yourstore.com/pages/yoga-mat-comparison | comparison-page |

---

## How to Create and Upload a Page Feed

### Step 1: Build the Spreadsheet
1. Open Google Sheets or Excel
2. Create columns: `Page URL`, `Custom Label`
3. Add all URLs you want PMax to use as landing pages
4. Label each URL with a custom label for organization
5. Save as CSV or Google Sheet

### Step 2: Upload to Google Ads
1. Go to **Tools   Settings   Shared Library   Page Feeds**
2. Click **+ Page Feed**
3. Name your feed (e.g., "PMax Product Pages - March 2026")
4. Upload your CSV or connect your Google Sheet
5. Set update schedule (daily recommended if using Google Sheets)

### Step 3: Connect to PMax Campaign
1. Open your PMax campaign settings
2. Go to **Campaign settings   Final URL expansion**
3. Set to **OFF**
4. Under **URL sources**, select your page feed
5. Save

### Step 4: Verify
- [ ] Page feed shows "Active" status in Shared Library
- [ ] PMax campaign settings show page feed connected
- [ ] Final URL expansion is set to OFF
- [ ] Run a preview check — ads should only show URLs from your feed

---

## Final URL Expansion OFF: Configuration

### Why OFF for Feed-Only PMax
Feed-Only PMax campaigns rely on Merchant Center product data. When Final URL expansion is ON, PMax may send Shopping ad traffic to a collection page instead of the specific product page — resulting in extra clicks before purchase and higher abandonment.

### Settings Checklist
- [ ] **Final URL expansion**: OFF
- [ ] **Page feed**: Connected
- [ ] **Automatically created assets**: OFF (optional but recommended for control)
- [ ] **URL exclusions**: Add any URLs you never want traffic on (blog, FAQ, legal pages)

### URL Exclusion List (Common Entries)
```
yourstore.com/blogs/*
yourstore.com/pages/faq
yourstore.com/pages/about
yourstore.com/pages/shipping-policy
yourstore.com/pages/return-policy
yourstore.com/pages/privacy-policy
yourstore.com/pages/terms-of-service
yourstore.com/cart
yourstore.com/checkout/*
yourstore.com/account/*
```

---

## Feed Label Resolution: Connecting Merchant Center to PMax

### How Labels Work Across Systems

```
Merchant Center Feed              PMax Campaign
──────────────────               ────────────────
Product: Blue Widget              Asset Group: Premium Products
Custom Label 0: hero              Listing Group Filter: custom_label_0 = hero
Custom Label 1: high-margin
Custom Label 2: summer
                                  Page Feed
                                  ──────────────────
                                  URL: /products/blue-widget
                                  Label: hero-product
```

### Mapping Table

| Merchant Center Field | Google Ads Field | Connection Point |
|----------------------|-----------------|------------------|
| `custom_label_0` | Asset group listing filter | Segments products into asset groups |
| `custom_label_1` | Asset group listing filter | Secondary segmentation |
| `product_type` | Asset group listing filter | Category-based grouping |
| `brand` | Asset group listing filter | Brand-based grouping |
| Page feed `Custom Label` | Campaign page feed | Controls landing page selection |

---

## Custom Label 5-Tier System

Use Merchant Center's 5 custom label fields strategically:

### Custom Label Strategy

| Label | Purpose | Values | Example |
|-------|---------|--------|---------|
| **custom_label_0** | Performance tier | `hero`, `standard`, `long-tail`, `new` | Top 20% by revenue = `hero` |
| **custom_label_1** | Margin tier | `high-margin`, `mid-margin`, `low-margin` |  60% margin = `high-margin` |
| **custom_label_2** | Seasonality | `evergreen`, `spring`, `summer`, `fall`, `winter`, `holiday` | Seasonal products flagged |
| **custom_label_3** | Inventory status | `in-stock`, `low-stock`, `pre-order`, `clearance` |  10 units = `low-stock` |
| **custom_label_4** | Funnel position | `top-seller`, `gateway`, `upsell`, `accessory` | Entry-price products = `gateway` |

### How to Use Labels for PMax Asset Groups

**Strategy A: Performance-Based Grouping**
| Asset Group | Filter | Budget Share |
|------------|--------|-------------|
| Hero Products | custom_label_0 = `hero` | 60% |
| Standard Products | custom_label_0 = `standard` | 30% |
| Long-Tail Discovery | custom_label_0 = `long-tail` | 10% |

**Strategy B: Margin-Based Grouping**
| Asset Group | Filter | tROAS |
|------------|--------|-------|
| High-Margin Products | custom_label_1 = `high-margin` | Lower tROAS (volume play) |
| Mid-Margin Products | custom_label_1 = `mid-margin` | Standard tROAS |
| Low-Margin Products | custom_label_1 = `low-margin` | Higher tROAS (protect margin) |

**Strategy C: Seasonal Rotation**
| Season | Active Labels | Action |
|--------|--------------|--------|
| Spring (Mar-May) | `spring` + `evergreen` | Add spring products, increase budget |
| Summer (Jun-Aug) | `summer` + `evergreen` | Rotate to summer products |
| Fall (Sep-Nov) | `fall` + `evergreen` + `holiday` | Add holiday products starting Oct |
| Winter (Dec-Feb) | `winter` + `evergreen` + `clearance` | Post-holiday clearance push |

---

## Feed Quality Checklist

### Per-Product Quality Check

| Quality Factor | Requirement | Your Status |
|---------------|-------------|-------------|
| **Title length** | 70-150 characters (use full space) | [ ] Pass [ ] Fix |
| **Title keywords** | Brand + product type + key attribute | [ ] Pass [ ] Fix |
| **Image quality** | 800x800px minimum, white background | [ ] Pass [ ] Fix |
| **GTIN present** | Required for all branded products | [ ] Pass [ ] Fix |
| **Price accuracy** | Matches landing page exactly | [ ] Pass [ ] Fix |
| **Availability** | Matches real-time stock levels | [ ] Pass [ ] Fix |
| **Description** | 500+ characters, no promotional language | [ ] Pass [ ] Fix |
| **Product type** | Google category + custom taxonomy | [ ] Pass [ ] Fix |
| **Additional images** | 3+ lifestyle/angle images | [ ] Pass [ ] Fix |
| **Shipping weight** | Set for accurate shipping calculation | [ ] Pass [ ] Fix |

### Title Quality Scoring

| Score | Title Structure | Example |
|-------|----------------|---------|
| **5/5 (Excellent)** | Brand + Product Type + Key Attribute + Size/Color + Differentiator | "Nike Air Max 270 Running Shoes - Men's Black/White - Lightweight Mesh" |
| **4/5 (Good)** | Brand + Product Type + Key Attribute + Size/Color | "Nike Air Max 270 Running Shoes - Men's Black/White" |
| **3/5 (Acceptable)** | Brand + Product Type + Key Attribute | "Nike Air Max 270 Running Shoes" |
| **2/5 (Weak)** | Brand + Product Type only | "Nike Running Shoes" |
| **1/5 (Poor)** | Generic or too short | "Running Shoes" or "Nike Shoe" |

---

## Monthly Feed Audit Protocol

### Week 1 of Each Month (30 minutes)

#### Merchant Center Health Check
- [ ] Log into Merchant Center   Diagnostics
- [ ] Record total products: _____ approved / _____ disapproved / _____ pending
- [ ] Review all "critical" issues — fix within 24 hours
- [ ] Review "warning" issues — plan fix within 7 days

#### Feed Freshness Check
- [ ] When was the feed last updated? Date: _______
- [ ] Are prices current? (Spot-check 10 products against website)
- [ ] Are availability statuses current? (Spot-check 10 products)
- [ ] Any recently discontinued products still in feed?

#### Custom Label Audit
- [ ] Review custom_label_0 (performance): Are hero products still heroes? (Check 90-day sales data)
- [ ] Review custom_label_2 (seasonality): Are seasonal labels current?
- [ ] Review custom_label_3 (inventory): Any low-stock items that should be paused?
- [ ] Any new products that need labels assigned?

#### Page Feed Audit
- [ ] Are all page feed URLs resolving (no 404s)?
- [ ] Any new product pages that should be added to the page feed?
- [ ] Any discontinued products whose pages should be removed?
- [ ] Is the page feed update schedule still running?

### Monthly Feed Audit Log

| Month | Products Approved | Disapproved | Fixed | New Products Added | Labels Updated |
|-------|------------------|-------------|-------|-------------------|---------------|
| | | | | | |
| | | | | | |
| | | | | | |

---

## Troubleshooting Common Page Feed Issues

| Issue | Cause | Fix |
|-------|-------|-----|
| **Page feed shows 0 pages** | CSV format error or wrong column headers | Re-export with correct headers: `Page URL`, `Custom Label` |
| **URLs not matching products** | Merchant Center URLs don't match page feed URLs | Ensure page feed URLs match your `link` attribute in MC feed exactly |
| **PMax still sending traffic to blog pages** | Final URL expansion is ON | Verify expansion is OFF in campaign settings |
| **Feed not updating** | Google Sheets connection broken or schedule stopped | Re-authorize the connection, check schedule settings |
| **New products not appearing** | Product not in page feed or Merchant Center | Add to both page feed and MC feed |
| **Product approved in MC but not showing in PMax** | Listing group filter excluding the product | Check asset group listing group filters |
| **"Page feed not being used" warning** | Campaign doesn't reference the feed | Reconnect page feed in campaign settings |
| **Duplicate URLs in feed** | Same URL with different labels | Remove duplicates, keep one entry per URL |

---

## Worked Example

**Business**: DTC furniture brand. 200 products across 4 categories (Living Room, Bedroom, Office, Outdoor). Monthly PMax budget: $20K. Running Feed-Only PMax with Final URL expansion OFF.

### Page Feed Setup

**Total pages in feed**: 245 (200 product pages + 30 collection pages + 15 comparison/landing pages)

| Page Type | Count | Custom Label | Example URL |
|-----------|-------|-------------|-------------|
| Hero products | 30 | `hero-product` | /products/mid-century-sofa-walnut |
| Standard products | 130 | `standard-product` | /products/accent-chair-navy |
| New arrivals | 40 | `new-product` | /products/rattan-side-table |
| Collection pages | 30 | `collection-page` | /collections/living-room |
| Comparison pages | 10 | `comparison-page` | /pages/sofa-buying-guide |
| Landing pages | 5 | `landing-page` | /pages/office-setup-bundle |

### Custom Label Strategy

| Label | Field | Values Applied |
|-------|-------|---------------|
| custom_label_0 | Performance | `hero` (top 30 by revenue), `standard` (next 130), `new` (40 new arrivals) |
| custom_label_1 | Margin | `premium-margin` ( 55%), `standard-margin` (35-55%), `clearance` ( 35%) |
| custom_label_2 | Season | `evergreen`, `outdoor-spring`, `holiday-gift` |
| custom_label_3 | Stock | `in-stock`, `low-stock` ( 5 units), `pre-order` |
| custom_label_4 | Funnel | `gateway` ( $200, entry products), `core` ($200-800), `premium` ( $800) |

### PMax Asset Groups Using Labels

| Asset Group | Listing Filter | Products | Monthly Budget |
|------------|---------------|----------|---------------|
| Living Room Heroes | category = Living Room AND custom_label_0 = hero | 12 | $6,000 |
| Bedroom + Office | category = Bedroom OR Office | 80 | $5,000 |
| Outdoor Collection | category = Outdoor | 35 | $4,000 |
| New Arrivals Discovery | custom_label_0 = new | 40 | $3,000 |
| Gateway Products | custom_label_4 = gateway | 33 | $2,000 |

### Monthly Audit Results (Month 3)

| Check | Status | Action |
|-------|--------|--------|
| Approved products | 195/200 (97.5%) | 5 disapproved — 3 image quality, 2 price mismatch |
| Page feed URLs | 240/245 resolving | 5 discontinued products removed |
| Hero performance | 8 heroes dropped below threshold | Demoted to `standard`, promoted 8 new heroes |
| Seasonal labels | Outdoor products labeled `outdoor-spring` | Ready for seasonal push |
| New products | 12 new products added this month | All labeled and added to page feed |

---

## Interpretation Guide

| Situation | What It Means | Action |
|-----------|--------------|--------|
| Traffic going to collection pages instead of product pages | Collection URLs in page feed may be capturing clicks | Remove collection URLs from feed or lower their priority |
| High impressions but low conversion rate | Products in feed may not match search intent | Audit which products get impressions vs which convert |
| Feed disapproval rate above 5% | Systemic feed quality issue | Full feed audit, focus on images and price accuracy |
| PMax campaigns spending unevenly across asset groups | Listing group overlap or unbalanced product volume | Check for product overlap between asset groups |
| Page feed growing stale (same URLs for 3+ months) | Missing new products, keeping discontinued ones | Monthly audit protocol catches this |

---

*This setup guide accompanies Part 2: Feed Architecture   Campaign Structure of The PMax Mastery System.*

---

*From: The PMax Mastery System*
*P.M.A.X. Protocol: Performance Max Architecture for Excellence*


# BONUS 1: PMax Launch Checklist (Day 1 Through Week 4)

## The Complete Launch Sequence

This checklist turns your PMax launch from chaos into a controlled process. Follow it in order. Don't skip steps.

---

## Pre-Launch (Days 1-3)

### Architecture Decision
- [ ] Assessed monthly PMax budget against architecture thresholds
- [ ] Confirmed monthly conversion count (30+ minimum)
- [ ] Selected architecture: Feed-Only / 2-Campaign / 3-Campaign
- [ ] Documented decision and reasoning

### Account Prerequisites
- [ ] Conversion tracking verified (test-fire completed, no duplicates)
- [ ] Merchant Center feed approved (no disapproved products)
- [ ] Product feed quality check (titles 65+ characters, descriptions complete, images high-res)
- [ ] Customer lists uploaded (past purchasers, email subscribers)
- [ ] At least 1,000 users in remarketing audiences

### Competitive Preparation
- [ ] 3-5 competitor URLs identified for audience signals
- [ ] 10-20 competitor search terms documented
- [ ] Competitor pricing reviewed (for competitive positioning)

---

## Asset Creation (Days 4-10)

### Headlines
- [ ] Emotional Truth extraction completed (5 questions answered with specifics)
- [ ] 25+ headline candidates generated per asset group
- [ ] All candidates scored (5-dimension rubric, 0-100)
- [ ] Top 15 headlines selected (score ≥70)
- [ ] 3-Rule Filter applied (Visualizable, Falsifiable, Unique)
- [ ] 5 long headlines written (90 chars max)

### Descriptions
- [ ] 5 descriptions per asset group written (90 chars max)
- [ ] Mix validated: 1 proof + 1 mechanism + 1 outcome + 1 social proof + 1 offer
- [ ] Each description works as standalone AND combined with any headline

### Images
- [ ] Landscape images created (up to 8, 1200x628 minimum)
- [ ] Square images created (up to 8, 1200x1200 minimum)
- [ ] Portrait images created (up to 4, 960x1200 minimum)
- [ ] Image mix validated: product shots + lifestyle + social proof + problem viz
- [ ] Text overlays applied where appropriate (max 3-4 text blocks per image)
- [ ] All images pass 0.5-second comprehension test
- [ ] Logo uploaded separately (1:1 ratio, min 128x128)

### Videos (Optional but Recommended)
- [ ] 1-3 videos prepared (6-180 seconds, MP4/MOV/WebM)
- [ ] Videos uploaded to YouTube (unlisted)
- [ ] YouTube video IDs documented for PMax linking

---

## Campaign Setup (Days 11-14)

### Campaign Structure
- [ ] Campaign(s) created with correct naming convention
- [ ] Bidding strategy set (Maximize Conversion Value for initial launch)
- [ ] Daily budget configured (minimum $50/day per campaign)
- [ ] Location targeting set
- [ ] Language targeting set

### Settings Configuration
- [ ] URL expansion: OFF or exclusions configured
- [ ] Brand exclusions set (brand name + misspellings)
- [ ] Negative keyword list applied (50-100 keywords)
- [ ] Automatically created assets: OFF
- [ ] Ad schedule configured (if applicable)

### Asset Groups
- [ ] Asset group(s) created with descriptive names
- [ ] Listing groups configured (products assigned to correct groups)
- [ ] No product overlap between asset groups within same campaign
- [ ] Audience signals added (custom segments, in-market, customer lists)
- [ ] Search themes loaded (20-50 per Demand Gen group)
- [ ] All text and image assets uploaded and active

### Final Pre-Launch Verification
- [ ] All assets showing as "Eligible" (not disapproved)
- [ ] Conversion actions verified one more time
- [ ] Budget pacing check (daily budget x 30 = intended monthly spend)
- [ ] Screenshot campaign settings for baseline documentation

---

## Week 1 (Days 15-21): MONITORING ONLY

**Rule: DO NOT change settings this week.**

### Daily Checks (5 minutes)
- [ ] Campaign status: Active/Enabled
- [ ] Daily spend within expected range
- [ ] No disapproved assets
- [ ] Conversion tracking still firing correctly

### End of Week 1 Review (15 minutes)
- [ ] Total spend vs budget (should be within 20%)
- [ ] Impressions generating (if zero, check assets and listing groups)
- [ ] Any conversions recorded (even 1-2 is a good sign)
- [ ] Document baseline metrics: impressions, clicks, CTR, cost, conversions

### Only Allowed Changes Week 1
- Fix disapproved assets
- Add negative keywords for obviously irrelevant search terms
- Correct budget if way over/under daily target

---

## Week 2 (Days 22-28): LIGHT ADJUSTMENTS

### Daily Checks (5 minutes)
- [ ] Same as Week 1

### Mid-Week Check (10 minutes)
- [ ] Review search term insights for irrelevant categories
- [ ] Add 5-10 negative keywords if needed
- [ ] Check placement distribution (flag mobile app   10%)

### End of Week 2 Review (20 minutes)
- [ ] Asset label check: How many LEARNING vs GOOD vs LOW?
- [ ] Compare Week 2 metrics to Week 1 (directional improvement?)
- [ ] Document trends
- [ ] Note any assets consistently rated LOW for future replacement

### Allowed Changes Week 2
- Add negative keywords
- Adjust daily budget by up to 10%
- Add account-level placement exclusions (mobile apps, specific sites)

---

## Week 3 (Days 29-35): INITIAL OPTIMIZATION

### Weekly Check (30 minutes)
- [ ] Asset labels reviewed - replace 1-2 LOW headlines with new variations
- [ ] Search term insights reviewed - add 10+ negative keywords
- [ ] Placement report checked - exclude problematic placements
- [ ] Asset group performance compared (if multiple groups)
- [ ] tROAS consideration: ready to set a target? (need 15+ conversions first)

### Allowed Changes Week 3
- Replace LOW-rated assets (max 2-3 headlines, 1-2 images per week)
- Add negative keywords aggressively
- Add placement exclusions
- Consider switching bidding strategy to tROAS (if 15+ conversions accumulated)

---

## Week 4 (Days 36-42): FULL OPTIMIZATION MODE

### Weekly Check (30 minutes)
- [ ] Full asset label audit
- [ ] Replace remaining LOW assets
- [ ] If using Maximize Conversion Value, evaluate switch to tROAS
- [ ] Set tROAS at 20% below profitable target
- [ ] Review and adjust audience signals based on performance
- [ ] Add/remove search themes based on search term data
- [ ] Budget reallocation between campaigns (if 3-campaign architecture)

### Month 1 Summary Document
- [ ] Total spend vs planned
- [ ] Total conversions and ROAS
- [ ] Asset label distribution (% BEST/GOOD/LOW)
- [ ] Top 3 performing search term categories
- [ ] Top 3 wasted search term categories (now negated)
- [ ] Placement distribution breakdown
- [ ] Action items for Month 2

---

## Post-Launch Cadence (Month 2+)

### Weekly (30 min)
- Replace 2-3 LOW assets
- Add 5-10 negative keywords
- Check placements

### Biweekly (45 min)
- Review audience signals
- Update search themes
- Adjust budgets between campaigns

### Monthly (1-2 hours)
- Full asset audit and refresh
- Generate new headline candidates
- Review product-level performance
- Adjust tROAS targets
- Document wins and losses

---

*Print this checklist. Follow it step by step. The sequence matters as much as the individual tasks.*

---

## TechReco Implementation Notes

**Render as**: Interactive checklist web page with progress tracking.

**Page features**:
- All `[ ]` items → interactive checkboxes that persist state (localStorage)
- Progress bar at the top showing "X of Y tasks completed" per phase
- Collapsible sections per phase (Pre-Launch, Week 1, Week 2, Week 3, Week 4, Post-Launch)
- Current phase highlighted based on completion state
- "Reset Checklist" button to clear all checkboxes
- "Print" button with print-optimized CSS
- Phase completion confetti/animation when all items in a phase are checked (subtle, not obnoxious)

**Visual design**:
- Timeline visualization on the left (vertical line with phase nodes)
- Active phase node highlighted, completed phases greyed with checkmark
- Each phase card shows: phase name, timeframe, task count, completion %


# Search Theme Generator by Industry

**Standalone Value**: $97
**Purpose**: Ready-to-customize search theme templates for 8 industries plus cross-industry patterns. Each template provides 50 search themes organized by category.

---

## How to Use

1. Find your industry section below
2. Copy the search themes that apply to your products
3. Customize generic terms with your specific product details
4. Add long-tail variations specific to your catalog
5. Target 20-50 themes per asset group in your Demand Gen campaign

---

## Industry 1: Apparel   Fashion

### Problem-Solution Themes (15)
```
best [garment] for [body type]
comfortable [garment] for all day wear
[garment] that doesn't shrink after washing
how to style [garment type] for [occasion]
[garment] for [weather/season]
wrinkle-free [garment] for travel
sustainable fashion brands
ethical clothing options
[garment] that fits true to size
work appropriate [garment] options
[garment] for petite/tall/plus
breathable [fabric] [garment]
stain resistant [garment]
[garment] with pockets
versatile [garment] for work and weekend
```

### Comparison Themes (15)
```
[brand A] vs [brand B] [garment]
best [garment] under $[price]
[garment] review [year]
premium vs budget [garment]
[your brand] vs [competitor] quality
best online stores for [garment type]
[garment] worth the price
designer vs affordable [garment]
where to buy [garment] online
[garment] quality comparison
best value [garment type]
[garment] that lasts years
most durable [fabric] [garment]
[garment] brand ranking
top rated [garment] [year]
```

### Price-Sensitivity Themes (10)
```
affordable [garment type]
[garment] sale [season]
best deals on [garment]
[garment] under $[price point]
quality [garment] affordable price
[garment] free shipping
buy [garment] online discount
[garment] bundle deals
[garment] subscription box
[garment] clearance outlet
```

### Category-Specific (10)
```
[specific product] for men/women
[product] new arrivals [season]
[product] trending [year]
[product] outfit ideas
[product] capsule wardrobe
[product] size guide
[product] care instructions
[product] gift ideas
[product] matching sets
[product] limited edition
```

---

## Industry 2: Beauty   Skincare

### Problem-Solution Themes (15)
```
best [product] for [skin concern]
how to [solve skin problem]
[product] for sensitive skin
anti-aging [product] that works
[product] for acne prone skin
natural [product] for [concern]
[product] for dry/oily/combination skin
dark spot treatment that works
gentle [product] for rosacea
[product] for mature skin
hormonal acne solution
[product] without harsh chemicals
fragrance free [product]
dermatologist recommended [product]
[product] for eczema
```

### Comparison Themes (15)
```
[ingredient] vs [ingredient] for [concern]
best [product type] [year]
[brand A] vs [brand B]
Korean skincare vs [alternative]
retinol vs vitamin c
[product] review honest
which [product] is best for me
[product] ingredient comparison
clinical vs natural [product]
drugstore vs premium [product]
[product] before and after
does [product/ingredient] actually work
[product] worth the money
most effective [product type]
top rated [product] dermatologists
```

### Price-Sensitivity Themes (10)
```
affordable [product] that works
[product] under $[price]
drugstore [product] dupes
best budget [product type]
[product] value set
[product] starter kit
[product] sample size
[product] subscription
[product] bundle save
quality [product] affordable
```

### Category-Specific (10)
```
[product] for [age group]
[product] routine [skin type]
[product] morning vs night
[product] layering order
[product] ingredients to avoid
[product] clean beauty
[product] vegan cruelty free
[product] travel size
[product] gift set
[product] new formula [year]
```

---

## Industry 3: Home   Living

### Problem-Solution Themes (15)
```
best [product] for small spaces
[product] for apartment living
how to organize [room/area]
[product] that saves space
[product] for [specific room]
easy to clean [product]
[product] for pet owners
child-safe [product]
[product] for renters
[product] that reduces clutter
noise reducing [product]
energy efficient [product]
[product] for better sleep
[product] for home office
allergen-free [product]
```

### Comparison/Price Themes (15)
```
[brand A] vs [brand B] [product]
best [product] under $[price]
[product] review [year]
premium vs budget [product]
[product] quality comparison
best value [product type]
[product] that lasts
worth upgrading [product]
[product] sale [season]
affordable [product] good quality
[product] black friday deals
where to buy [product] online
[product] free shipping
[product] bundle deals
[product] warranty comparison
```

### Category-Specific (20)
```
[product] modern design
[product] minimalist style
[product] farmhouse style
[product] mid-century modern
[product] Scandinavian design
[product] dimensions guide
[product] color options
[product] assembly instructions
[product] weight capacity
[product] material comparison
[product] maintenance tips
[product] replacement parts
[product] matching set
[product] custom options
[product] delivery time
[product] return policy
[product] customer photos
[product] in [room type]
[product] for [season]
[product] new arrivals
```

---

## Industry 4: Electronics   Tech

### Problem-Solution Themes (15)
```
best [product] for [use case]
[product] for beginners
[product] for professionals
how to choose [product type]
[product] that works with [ecosystem]
[product] with long battery life
[product] for [specific task]
wireless [product] reliable
[product] for remote work
[product] noise cancelling
[product] waterproof
[product] for gaming
[product] for streaming
[product] setup guide
[product] troubleshooting
```

### Comparison/Price Themes (15)
```
[product A] vs [product B]
best [product] [year]
[product] under $[price]
[product] review honest
[product] specs comparison
[product] benchmark results
[product] worth upgrading
[product] refurbished vs new
[product] sale [season]
[product] student discount
[product] bundle deals
[product] trade in value
[product] price history
[product] vs [older model]
[product] best buy vs [store]
```

### Category-Specific (20)
```
[product] compatibility
[product] latest model
[product] release date
[product] firmware update
[product] accessories
[product] case cover
[product] warranty
[product] repair service
[product] tips and tricks
[product] hidden features
[product] battery replacement
[product] storage options
[product] connectivity
[product] ecosystem
[product] unboxing
[product] durability test
[product] vs competitors
[product] speed test
[product] user manual
[product] customer support
```

---

## Industry 5: Health   Supplements

### Problem-Solution Themes (20)
```
best supplement for [health goal]
natural remedy for [condition]
[supplement] for energy
[supplement] for sleep
[supplement] for stress
[supplement] for joint pain
[supplement] for immune support
[supplement] for gut health
how to improve [health metric]
[supplement] for athletes
[supplement] for women/men over [age]
[supplement] for weight management
[supplement] for brain health
[supplement] for heart health
[supplement] for skin hair nails
[supplement] dosage guide
[supplement] absorption tips
[supplement] timing when to take
[supplement] with food or empty stomach
[supplement] interactions to know
```

### Comparison/Trust Themes (15)
```
[supplement] third party tested
[supplement] doctor recommended
[supplement] research studies
[supplement] vs [alternative]
best [supplement] brand [year]
[supplement] quality ranking
[supplement] purity testing
[supplement] made in USA
organic vs synthetic [supplement]
[supplement] bioavailability comparison
[supplement] customer results
does [supplement] actually work
[supplement] side effects
[supplement] long term safety
[supplement] clinical dose
```

### Price Themes (15)
```
affordable [supplement] quality
[supplement] subscription save
[supplement] bulk discount
[supplement] cost per serving
[supplement] value comparison
[supplement] free trial
[supplement] money back guarantee
[supplement] bundle pack
best [supplement] under $[price]
[supplement] wholesale
[supplement] auto ship discount
[supplement] family pack
[supplement] starter dose
[supplement] sample pack
[supplement] loyalty program
```

---

## Industry 6: Food   Beverage

### Problem-Solution Themes (15)
```
best [food/drink] for [dietary need]
[product] for keto diet
gluten free [product] that tastes good
[product] for meal prep weekly
healthy [product] for busy professionals
[product] without artificial sweeteners
low sodium [product] options
[product] for food allergies
organic [product] no preservatives
[product] for picky eaters
high protein [product] for [goal]
[product] safe for kids
sugar free [product] that doesn't taste fake
[product] for lactose intolerant
vegan [product] whole ingredients
```

### Comparison Themes (15)
```
[brand A] vs [brand B] [product]
best [product] [year]
[product] taste test review
organic vs conventional [product]
[product] quality comparison
healthiest [product type] ranked
[product] ingredient comparison
[brand] [product] honest review
best [product] subscription box
[product] worth the price premium
[product] freshness comparison delivery
local vs national [product] brands
[product] nutritional value per serving
best [product] under $[price]
top rated [product] [dietary type]
```

### Category-Specific Themes (10)
```
[product] gift basket [occasion]
[product] seasonal flavors [season]
[product] sampler variety pack
[product] bulk buy family size
[product] single serve portions
[product] new flavors [year]
[product] limited edition
[product] pairing suggestions
[product] storage shelf life
[product] sourcing origin
```

### Price-Sensitivity Themes (10)
```
affordable [product] quality ingredients
[product] subscription save monthly
[product] bulk discount
[product] cost per serving comparison
[product] free shipping minimum
[product] first order discount
[product] bundle deal value
[product] price per ounce
best budget [product] quality
[product] wholesale case pricing
```

---

## Industry 7: Pet Products

### Problem-Solution Themes (15)
```
best [product] for [breed]
[product] for senior dogs/cats
[product] for puppy teething
[product] for pet anxiety separation
[product] for sensitive stomach pets
natural [product] no fillers
[product] for joint pain older dogs
[product] for shedding control
[product] for overweight pets
[product] for dog allergies grain free
calming [product] for nervous dogs
[product] for dental health pets
[product] for itchy skin dogs
[product] for picky eater cats
hypoallergenic [product] for pets
```

### Comparison Themes (15)
```
[brand A] vs [brand B] [pet product]
best [product] for [breed] [year]
vet recommended [product] brands
[product] ingredient analysis
raw vs kibble [product] comparison
grain free vs grain inclusive [product]
[product] review [breed] owners
best [product] subscription service
[product] quality ranking consumer reports
[product] made in USA comparison
premium vs budget [pet product]
[product] recall history safety
best [product] small breed dogs
[product] customer reviews honest
top rated [product] veterinarian approved
```

### Category-Specific Themes (10)
```
[product] by breed size small medium large
[product] puppy vs adult formula
[product] indoor vs outdoor pets
[product] travel portable
[product] automatic feeder compatible
[product] training treats low calorie
[product] seasonal flea tick
[product] grooming [coat type]
[product] new puppy starter kit
[product] senior pet care essentials
```

### Price-Sensitivity Themes (10)
```
affordable [pet product] quality
[product] auto ship discount save
[product] bulk buy savings
[product] cost per day feeding
[product] subscription box monthly
[product] first order coupon
best value [pet product] per pound
[product] multi pet discount
[product] loyalty rewards program
[product] free shipping pet supplies
```

---

## Industry 8: Sports   Fitness

### Problem-Solution Themes (15)
```
best [equipment] for beginners
[equipment] for home gym small space
[equipment] for injury recovery
[product] for marathon training
[equipment] for [specific sport]
[product] for muscle soreness recovery
[equipment] for bad knees low impact
[product] for outdoor cold weather training
waterproof [product] for [sport]
[equipment] for strength training at home
[product] for running long distance
[equipment] that fits in apartment
[product] for CrossFit WOD
[equipment] for physical therapy rehab
[product] for high intensity interval training
```

### Comparison Themes (15)
```
[brand A] vs [brand B] [equipment]
best [equipment] [year] review
[equipment] for beginners vs advanced
[product] durability test comparison
home gym vs gym membership cost
[equipment] weight capacity comparison
[product] review after [time period] use
best [equipment] under $[price]
commercial grade vs home [equipment]
[product] warranty comparison brands
[equipment] compact vs full size
best [product] for the money
[equipment] noise level apartment friendly
[brand] [product] honest long term review
top rated [equipment] professional athletes
```

### Category-Specific Themes (10)
```
[equipment] for [sport] specific training
[product] competition grade certified
[equipment] adjustable all fitness levels
[product] GPS wearable [sport]
[equipment] foldable portable travel
[product] moisture wicking [sport]
[equipment] resistance levels explained
[product] recovery compression [body part]
[equipment] setup assembly guide
[product] performance tracking app compatible
```

### Price-Sensitivity Themes (10)
```
affordable [equipment] quality build
[equipment] financing payment plan
[product] bundle starter package
[equipment] refurbished certified savings
best budget home gym [equipment]
[product] seasonal sale [sport]
[equipment] price match guarantee
[product] used vs new savings
[equipment] membership discount code
[product] clearance end of season
```

---

## Cross-Industry Template

Use this template when your industry isn't listed above or when you need additional themes.

### Problem-Solution (Replace [brackets])
```
best [product] for [primary use case]
[product] for [specific customer segment]
how to choose the right [product]
[product] that solves [common problem]
[product] for [situation/environment]
```

### Comparison (Replace [brackets])
```
[your product] vs [top competitor]
best [product category] [current year]
[product] under $[price point]
[product] review comparison
[product] quality ranking
```

### Long-Tail (Replace [brackets])
```
[product] for [specific use] in [location/situation]
best [product] for [demographic] who [activity]
[product] that [specific benefit] without [common drawback]
```

---

## Shopping Modifier Tiers: Priority System

Before finalizing your theme list, classify every theme by modifier tier. This determines inclusion order and budget weighting.

| Tier | Intent Level | Modifiers | Search Theme Priority |
|------|-------------|-----------|----------------------|
| **Tier 1 (HIGH)** | Transactional | buy, shop, price, sale, discount, deal, order, purchase, cost, pricing | Include first, highest priority |
| **Tier 2 (MEDIUM)** | Commercial Investigation | best, top, review, compare, vs, alternative, cheap, affordable, budget, premium | Include in expanded themes |
| **Tier 3 (OPPORTUNITY)** | Long-tail Intent | where to, looking for, need, want, find, get, in stock, available, shipping, delivery | Include for comprehensive coverage |

**The 50/30/20 distribution rule**: For a 50-theme list, aim for:
- **25 themes (50%)** using Tier 1 modifiers - these are your money terms
- **15 themes (30%)** using Tier 2 modifiers - these capture comparison shoppers
- **10 themes (20%)** using Tier 3 modifiers - these capture long-tail purchase intent

**How to apply to the industry templates above**: Take any template section and tag each theme by tier. If your list is over-indexed on Tier 2/3 and under-indexed on Tier 1, add more transactional variations before uploading.

**Example tier classification** (Apparel):
- Tier 1: "buy running shoes online", "running shoes sale", "running shoes price" (transactional)
- Tier 2: "best running shoes 2026", "running shoes vs walking shoes", "running shoes review" (investigation)
- Tier 3: "where to find wide running shoes", "running shoes in stock near me", "running shoes fast delivery" (long-tail)

---

## Search Theme Best Practices

1. **Aim for 20-50 themes per asset group** - below 10 is insufficient signal, PMax supports up to 50
2. **Mix broad and specific** - broad themes for reach, specific for relevance
3. **Apply the 50/30/20 Tier distribution** - weight toward Tier 1 transactional modifiers first
4. **Update quarterly** - add trending terms, remove stale ones
5. **Pull from your Search campaign data** - your top converting search terms are proven winners (priority source)
6. **Include competitor terms** if you want Google to find similar audiences
7. **Don't duplicate across asset groups** - each group should have distinct themes matching its product selection

## High-Relevance Filtering Criteria

Apply these filters before finalizing your theme list:

| Include | Exclude |
|---------|---------|
| Transactional: "buy X," "shop X," "best X," "X for sale," "where to buy X" | Informational: "what is X," "how does X work," "X definition" |
| Product-specific: exact product names, brand terms | Pure research: "X vs Y comparison only" (no buying intent) |
| Use-case: "X for [problem]," "[benefit] X" | Low commercial intent: terms with no CPC signal |
| High CPC signal: CPC   $1.00 indicates buying intent | |

**Scoring formula**: Relevance x Search Volume x CPC. Prioritize terms that score high across all three dimensions.


# Audience Signal Builder Worksheet

**Standalone Value**: $97
**Purpose**: Structured worksheet for building audience signals per PMax asset group with mapping matrix to prevent overlap.

---

## How to Use

1. Complete one section per asset group in your Demand Gen campaign
2. Fill in the signal-to-group mapping matrix at the bottom
3. Verify no signal appears in more than one asset group (prevents internal competition)
4. Upload audience signals when building asset groups in Google Ads

---

## Worked Example: Premium Dog Food Brand

This fully populated example shows how to fill out the worksheet for a real product. Use it as a reference when completing your own sections below.

**Asset Group Name**: Premium Dog Food - Health Conscious

**Products in this group**: Grain-free kibble, limited ingredient diet, organic dog food line
**Segmentation basis**: Health-conscious dog owners willing to pay premium prices for quality ingredients

### Custom Segments - Competitor URLs (5-10)

| # | Competitor URL | Why This Audience Matches |
|---|---------------|-------------------------|
| 1 | farmersdog.com | Fresh/premium dog food buyers - same price sensitivity and health focus |
| 2 | olliepets.com | Custom meal plan buyers - already paying $5+/day for dog food |
| 3 | openfarmpet.com | Ethically sourced ingredient buyers - values-aligned audience |
| 4 | wildearth.com | Alternative protein buyers - early adopters of new dog food categories |
| 5 | darwinspet.com | Raw diet buyers - highest willingness to pay in the category |
| 6 | justfoodfordogs.com | Vet-recommended fresh food buyers - trust authority-based positioning |

### Custom Segments - Search Terms (10-20)

| # | Search Term | Intent Type |
|---|------------|-------------|
| 1 | best grain-free dog food | Product |
| 2 | dog food for sensitive stomach | Problem |
| 3 | organic dog food reviews | Comparison |
| 4 | limited ingredient dog food brands | Product |
| 5 | healthiest dog food 2026 | Comparison |
| 6 | dog food for allergies | Problem |
| 7 | premium dog food worth the price | Product |
| 8 | grain-free vs grain-inclusive dog food | Comparison |
| 9 | dog food without fillers | Problem |
| 10 | best dog food for golden retrievers | Product |

### Your Data Signals

| # | Signal Type | Details |
|---|------------|---------|
| 1 | Past purchasers | Customers who bought any dog food SKU in last 180 days |
| 2 | Cart abandoners | Visitors who added dog food to cart but didn't purchase (90-day window) |
| 3 | High-value segment | Customers with AOV   $75 on dog food category |

### In-Market Audiences (3-5)

| # | In-Market Audience | Relevance to Products |
|---|-------------------|----------------------|
| 1 | Pet Food | Direct category match for all dog food products |
| 2 | Pet Supplies | Broader pet owners actively shopping for their dogs |
| 3 | Organic   Natural Foods | Health-conscious buyers who extend those values to pet food |

### Affinity Audiences (2-3)

| # | Affinity Audience | Relevance |
|---|------------------|-----------|
| 1 | Pet Lovers | Core audience - dog owners who spend on their pets |
| 2 | Health   Fitness Enthusiasts | Proxy for health-conscious mindset that extends to pet care |
| 3 | Green Living Enthusiasts | Values-aligned audience that prioritizes clean ingredients |

### Demographics

| Signal | Value |
|--------|-------|
| Age | 25-54 |
| Household Income | $75k+ |
| Parental Status | Any (pet ownership cuts across parental status) |

---

## Asset Group 1: _______________

**Products in this group**: _______________
**Segmentation basis**: _______________

### Custom Segments - Competitor URLs (5-10)

List competitor websites whose visitors resemble your target buyers for this asset group.

| # | Competitor URL | Why This Audience Matches |
|---|---------------|-------------------------|
| 1 | _______________ | _______________ |
| 2 | _______________ | _______________ |
| 3 | _______________ | _______________ |
| 4 | _______________ | _______________ |
| 5 | _______________ | _______________ |
| 6 | _______________ | _______________ |
| 7 | _______________ | _______________ |

### Custom Segments - Search Terms (10-20)

Search terms your target buyers use when looking for products like yours.

| # | Search Term | Intent Type |
|---|------------|-------------|
| 1 | _______________ | Product / Problem / Comparison |
| 2 | _______________ | Product / Problem / Comparison |
| 3 | _______________ | Product / Problem / Comparison |
| 4 | _______________ | Product / Problem / Comparison |
| 5 | _______________ | Product / Problem / Comparison |
| 6 | _______________ | Product / Problem / Comparison |
| 7 | _______________ | Product / Problem / Comparison |
| 8 | _______________ | Product / Problem / Comparison |
| 9 | _______________ | Product / Problem / Comparison |
| 10 | _______________ | Product / Problem / Comparison |

### In-Market Audiences (3-5)

Google's built-in purchase-intent categories relevant to this asset group.

| # | In-Market Audience | Relevance to Products |
|---|-------------------|----------------------|
| 1 | _______________ | _______________ |
| 2 | _______________ | _______________ |
| 3 | _______________ | _______________ |
| 4 | _______________ | _______________ |
| 5 | _______________ | _______________ |

### Affinity Audiences (2-3)

Broader lifestyle/interest categories for reach expansion.

| # | Affinity Audience | Relevance |
|---|------------------|-----------|
| 1 | _______________ | _______________ |
| 2 | _______________ | _______________ |
| 3 | _______________ | _______________ |

---

## Asset Group 2: _______________

*(Repeat same structure as Asset Group 1)*

**Products in this group**: _______________
**Segmentation basis**: _______________

### Custom Segments - Competitor URLs (5-10)

| # | Competitor URL | Why This Audience Matches |
|---|---------------|-------------------------|
| 1 | _______________ | _______________ |
| 2 | _______________ | _______________ |
| 3 | _______________ | _______________ |
| 4 | _______________ | _______________ |
| 5 | _______________ | _______________ |

### Custom Segments - Search Terms (10-20)

| # | Search Term | Intent Type |
|---|------------|-------------|
| 1 | _______________ | _______________ |
| 2 | _______________ | _______________ |
| 3 | _______________ | _______________ |
| 4 | _______________ | _______________ |
| 5 | _______________ | _______________ |

### In-Market Audiences (3-5)

| # | In-Market Audience | Relevance |
|---|-------------------|-----------|
| 1 | _______________ | _______________ |
| 2 | _______________ | _______________ |
| 3 | _______________ | _______________ |

### Affinity Audiences (2-3)

| # | Affinity Audience | Relevance |
|---|------------------|-----------|
| 1 | _______________ | _______________ |
| 2 | _______________ | _______________ |

---

## Remarketing Asset Groups (Campaign 3)

### Visitors (90-Day Window)

| Signal | Value |
|--------|-------|
| Customer List | All site visitors, 90-day lookback |
| Minimum List Size | 1,000+ (required for PMax) |
| Exclude | Cart abandoners and past purchasers (they get their own groups) |

### Cart Abandoners (90-Day Window)

| Signal | Value |
|--------|-------|
| Customer List | Cart page visitors who didn't purchase, 90-day lookback |
| Minimum List Size | 500+ (preferred), 100+ (minimum) |
| Exclude | Past purchasers |

### Past Purchasers (180-Day Window)

| Signal | Value |
|--------|-------|
| Customer List | Completed purchase, 180-day lookback |
| Minimum List Size | 500+ |
| Segment by | Purchase recency, AOV, or product category (if lists are large enough) |

---

## Signal-to-Group Mapping Matrix

Verify no signal appears in more than one asset group. Mark X for assigned signals.

| Signal | Group 1 | Group 2 | Group 3 | Group 4 | Visitors | Cart | Purchasers |
|--------|---------|---------|---------|---------|----------|------|------------|
| Custom URL 1 | | | | | | | |
| Custom URL 2 | | | | | | | |
| Custom URL 3 | | | | | | | |
| Search Terms Set A | | | | | | | |
| Search Terms Set B | | | | | | | |
| In-Market: ___ | | | | | | | |
| In-Market: ___ | | | | | | | |
| Affinity: ___ | | | | | | | |
| Site Visitors List | | | | | | | |
| Cart Abandoner List | | | | | | | |
| Purchaser List | | | | | | | |

**Rule**: Each row should have exactly ONE X mark. Overlapping signals between groups creates internal competition.

---

## 7-Layer Angle Explosion: Signal-to-Layer Mapping

Your audience signals should align with the 7-Layer Angle Explosion from Module 1. Use this matrix to ensure your signals cover every funnel layer:

| Layer | Signal Type | What to Include | Priority |
|-------|-------------|-----------------|----------|
| Layer 1 (Core Commercial) | Custom search terms | Your top-converting product search terms | Required |
| Layer 2 (Specificity) | Custom search terms | Product + attribute combinations ("[product] for [use case]") | Required |
| Layer 3 (Intent + Competitor) | Custom URLs + search terms | Competitor websites + "best [category]" terms | Required |
| Layer 4 (Temporal) | Custom search terms | Seasonal and time-sensitive purchase terms | Required |
| Layer 5 (Persona) | In-market + affinity | Google's built-in audience segments matching your buyer personas | Optional |
| Layer 6 (Discovery) | Affinity audiences | Broad lifestyle/interest categories for TOFU reach | Optional |
| Layer 7 (Shopping Micro-Intent) | Custom search terms | Availability, delivery, and location-based purchase terms | Required |

**How to use**: For each asset group, verify you have signals covering at least Layers 1, 2, 3, 4, and 7. Layers 5 and 6 are expansion signals - add them only after BOFU/MOFU layers are performing.

---

## Signal Quality Checklist

Before uploading audience signals:

- [ ] Each asset group has at least 3 distinct signal types (custom URL + search terms + in-market)
- [ ] No signal appears in more than one asset group
- [ ] Customer lists meet minimum size requirements (1,000+ for broad, 500+ for remarketing)
- [ ] Custom segment URLs are actual competitor/related sites (not generic directories)
- [ ] Search terms match actual search behavior (pulled from Search campaign data when possible)
- [ ] Search terms cover required 7-Layer Angle Explosion layers (1, 2, 3, 4, 7 minimum)
- [ ] In-market audiences align with the products in each group
- [ ] Remarketing lists exclude overlapping audiences (visitors exclude cart+purchasers, cart excludes purchasers)


# BONUS 4: PMax Performance Dashboard (Google Sheets Template)

## Dashboard Structure

This Google Sheets template tracks your PMax performance across all key dimensions. Set it up once, update weekly.

---

## Sheet 1: Campaign Overview

### Header Row
```
| Campaign Name | Architecture Type | Daily Budget | Monthly Spend | Impressions | Clicks | CTR | Cost | Conversions | Conv. Value | ROAS | tROAS Target | Status |
```

### Data Entry Instructions
- **Update frequency**: Weekly (every Monday)
- **Date range**: Last 7 days (for weekly) or Last 30 days (for monthly view)
- **Source**: Google Ads → Campaigns → filter by PMax

### Calculated Fields
```
CTR = Clicks / Impressions
ROAS = Conv. Value / Cost
ROAS vs Target = ROAS - tROAS Target (positive = beating target)
Budget Utilization = Actual Spend / (Daily Budget × 7) for weekly
```

### Conditional Formatting Rules
- ROAS   tROAS Target: Green
- ROAS within 10% of tROAS: Yellow
- ROAS   90% of tROAS: Red
- Budget utilization   70%: Orange (underspending)

---

## Sheet 2: Asset Group Tracker

### Header Row
```
| Date | Campaign | Asset Group | Impressions | Clicks | CTR | Cost | Conversions | Conv. Value | ROAS | Conv. Rate | CPA |
```

### Pivot Analysis Section
Create a pivot table showing:
- Average ROAS by asset group (last 4 weeks trend)
- Conversion volume by asset group
- Cost distribution across asset groups (% of total)

### What to Look For
- Which asset group has the highest ROAS?
- Which asset group has the most conversions?
- Is one asset group cannibalizing others?
- Are any groups below the 30 conversion/month learning threshold?

---

## Sheet 3: Asset Performance Labels

### Headlines Tracker
```
| Date | Asset Group | Headline Text | Label (BEST/GOOD/LOW/LEARNING) | Previous Label | Change Direction |
```

### Descriptions Tracker
```
| Date | Asset Group | Description Text | Label | Previous Label | Change Direction |
```

### Images Tracker
```
| Date | Asset Group | Image Name/ID | Aspect Ratio | Label | Previous Label | Change Direction |
```

### Summary Metrics (Calculate Weekly)
```
Total Headlines: ___
  BEST: ___ (___ %)
  GOOD: ___ (___ %)
  LOW:  ___ (___ %)
  LEARNING: ___ (___ %)

Total Descriptions: ___
  BEST: ___ (___ %)
  GOOD: ___ (___ %)
  LOW:  ___ (___ %)

Total Images: ___
  BEST: ___ (___ %)
  GOOD: ___ (___ %)
  LOW:  ___ (___ %)

Health Score = (BEST + GOOD) / Total × 100
Target: 50%+ | Good: 60%+ | Excellent: 70%+
```

---

## Sheet 4: Search Term Insights

### Search Category Tracker
```
| Date | Search Category | Impressions | Clicks | Conversions | Conv. Value | Trend (↑↓→) | Action (Keep/Negate/Watch) |
```

### Negative Keyword Log
```
| Date Added | Keyword/Category | Reason | Impressions Before | Clicks Before | Est. Waste Prevented |
```

### Weekly Search Theme Audit
```
| Search Theme | Impressions This Week | Conv. This Week | Status (Active/Paused/New) | Notes |
```

---

## Sheet 5: Placement Distribution

### Weekly Placement Breakdown
```
| Week | Search % | Shopping % | Display % | YouTube % | Gmail % | Discover % | Maps % | Other % |
```

### Placement Health Rules
```
Healthy:
  Search + Shopping: 50-70% of spend
  YouTube + Gmail + Discover: 20-40% of spend
  Display:   20% of spend
  Maps + Other:   5% of spend

Warning Flags:
  Display   30%: Check for low-quality traffic
  Mobile apps appearing: Add app exclusions
  YouTube   30% without video assets: Auto-generated videos, likely waste
```

### Placement Exclusion Log
```
| Date | Placement Excluded | Type (App/Site/Channel) | Reason | Est. Savings |
```

---

## Sheet 6: Weekly Optimization Log

### Action Tracker
```
| Week | Date | Action Taken | Category (Asset/Keyword/Budget/Signal/Theme) | Expected Impact | Actual Impact (fill in 2 weeks later) |
```

### Weekly Optimization Checklist
```
Week of: ___________

□ Asset labels reviewed
□ LOW assets replaced (count: ___)
□ Search terms reviewed
□ Negative keywords added (count: ___)
□ Placements checked
□ Budget pacing checked
□ tROAS still appropriate?
□ Asset group comparison done
□ Action items documented

Time spent: ___ minutes
```

---

## Sheet 7: Monthly Summary

### Monthly KPIs
```
| Month | Total Spend | Total Revenue | Overall ROAS | Conversions | CPA | New Customers | Returning Customers |
```

### Month-over-Month Trends
```
| Metric | This Month | Last Month | Change | Change % | Direction |
| Spend | | | | | |
| Revenue | | | | | |
| ROAS | | | | | |
| Conversions | | | | | |
| CPA | | | | | |
| CTR | | | | | |
| Asset Health Score | | | | | |
```

### Monthly Action Summary
```
Headlines replaced: ___
Images replaced: ___
Negative keywords added: ___
Placements excluded: ___
Budget adjustments: ___
tROAS changes: ___
Asset groups added/removed: ___
```

---

## Sheet 8: ROI Calculator

### Investment Tracking
```
Product cost: $347
Time invested (hours): ___
Hourly rate: $___
Total investment: $347 + (hours × rate) = $___
```

### Returns Tracking
```
| Month | Waste Prevented | Revenue Increase | Total Benefit |
| Month 1 | $____ | $____ | $____ |
| Month 2 | $____ | $____ | $____ |
| Month 3 | $____ | $____ | $____ |
| Cumulative | $____ | $____ | $____ |

ROI = (Cumulative Benefit - Total Investment) / Total Investment × 100
```

---

## Setup Instructions

1. Create a new Google Sheet
2. Create 8 tabs matching the sheets above
3. Set up header rows with the column structures listed
4. Add conditional formatting rules (green/yellow/red)
5. Set a weekly calendar reminder to update data
6. Share with team members who manage PMax

**Time to set up**: 30-45 minutes
**Weekly update time**: 15-20 minutes
**Monthly review time**: 30-45 minutes

---

*This dashboard turns PMax from a black box into a transparent system. The 15 minutes/week you spend updating it will save you hours of guessing and thousands in waste.*

---

## TechReco Implementation Notes

**Render as**: Instructions page with a "Get the Template" CTA button linking to a pre-built Google Sheets template.

**What to build**:
1. Create a Google Sheets template with all 8 sheets pre-configured (headers, conditional formatting rules, formulas as specified above)
2. Make the template available via Google Sheets "Make a copy" link
3. Render this bonus page as a web guide that explains each sheet with screenshots of the actual template
4. The "Get the Template" button opens the Google Sheets copy link in a new tab

**Page structure**:
- Hero: "PMax Performance Dashboard" + "Track everything. Guess nothing."
- Quick overview of 8 sheets with icons
- Detailed walkthrough per sheet (use content above, add template screenshots)
- Setup video embed placeholder (optional, for future)
- CTA: "Get Your Dashboard Template" → Google Sheets copy link

**Google Sheets template specs**:
- 8 tabs matching the sheets above, with all header rows pre-populated
- Conditional formatting already applied (green/yellow/red thresholds)
- Calculated fields with formulas pre-entered (CTR, ROAS, Health Score, ROI)
- Sample data row in each sheet (clearly marked "DELETE THIS ROW - SAMPLE DATA") so users can see the expected format
- Frozen header rows, column widths adjusted for readability


# Asset Performance Tracker (Google Sheets Framework)

**Standalone Value**: $97
**Purpose**: 6-tab tracking system for monitoring PMax asset health, logging replacements, and identifying winning patterns.

  **This is a build-it-yourself framework.** Follow the instructions below to create your tracker in Google Sheets in about 20 minutes. Each tab includes the exact column headers, formulas, and conditional formatting rules you need. You're building a custom tool that fits your specific campaign structure - not downloading a generic template that needs modification.

---

## How to Build Your Tracker

1. Create a new Google Sheet with the 6 tabs described below (name each tab exactly as shown)
2. Copy the column headers from each section into the corresponding tab
3. Apply the conditional formatting rules from Tab 2
4. Fill in Tab 1 (Campaign Overview) with your current setup
5. Populate Tab 2 (Asset Group Labels) with your initial asset data
6. Update weekly during your 30-minute optimization check
7. Review Tab 6 (Monthly Dashboard) at each monthly deep dive

**Setup time**: ~20 minutes for the initial build. After that, weekly updates take 10-15 minutes.

---

## Tab 1: Campaign Overview

### Campaign Summary

| Field | Campaign 1: Feed-Only | Campaign 2: Demand Gen | Campaign 3: Remarketing |
|-------|----------------------|------------------------|-------------------------|
| Campaign Name | | | |
| Monthly Budget | $ | $ | $ |
| tROAS Target | x | x | x |
| Asset Groups | | | |
| Launch Date | | | |
| Current ROAS | x | x | x |
| Status | Active/Paused/Learning | Active/Paused/Learning | Active/Paused/Learning |

### Asset Group Inventory

| Asset Group | Campaign | Products | Headlines | Descriptions | Images | Search Themes |
|-------------|----------|----------|-----------|-------------|--------|---------------|
| | | | /15 | /5 | /20 | |
| | | | /15 | /5 | /20 | |
| | | | /15 | /5 | /20 | |
| | | | /15 | /5 | /20 | |

---

## Tab 2: Asset Group Labels

Update this tab weekly. One row per asset group per week.

### Weekly Label Tracking

| Date | Asset Group | Headlines BEST | Headlines GOOD | Headlines LOW | Headlines LEARNING | Desc BEST | Desc GOOD | Desc LOW | Images BEST | Images GOOD | Images LOW | BEST+GOOD % (Text) | BEST+GOOD % (Images) |
|------|-------------|---------------|----------------|--------------|-------------------|-----------|-----------|----------|-------------|-------------|-----------|---------------------|----------------------|
| | | | | | | | | | | | | | |
| | | | | | | | | | | | | | |

### BEST/GOOD/LOW Ratio Benchmarks

Use these benchmarks to assess asset health at a glance:

**Text Assets (Headlines + Descriptions)**:

| Health Level | BEST+GOOD % | LOW % | Status | Action |
|-------------|-------------|-------|--------|--------|
| Healthy | 50%+ |  50% | Green | Continue weekly optimization cadence |
| Warning | 30-49% | 51-70% | Yellow | Replace LOW assets aggressively (within 2-3/week limit) |
| Unhealthy |  30% | 70%+ | Red | Full Emotional Truth re-extraction + new headline generation |

**Image Assets**:

| Health Level | BEST+GOOD % | LOW % | Status | Action |
|-------------|-------------|-------|--------|--------|
| Healthy | 40%+ |  60% | Green | Continue - images have higher natural variance |
| Warning | 20-39% | 61-80% | Yellow | Replace lowest performers, review Image Mix Formula balance |
| Unhealthy |  20% | 80%+ | Red | Full image library rebuild using the 80-Image Production Sprint |

**What "healthy" looks like in practice**: A 4-group campaign with 60 headlines should have 30+ rated GOOD or BEST. With 80 images, 32+ should be GOOD or BEST. If you're below these thresholds, the scoring system is working - it's telling you which assets to replace first.

### Google Sheets Formulas

Use these exact formulas to automate your tracking. Assumes asset labels are in column D starting at row 2.

**BEST+GOOD % formula** (put in the BEST+GOOD % column):
```
=(COUNTIF(D2:D20,"Best")+COUNTIF(D2:D20,"Good"))/COUNTA(D2:D20)*100
```
This counts all "Best" and "Good" labels, divides by total non-empty cells, and returns a percentage. Adjust the range (D2:D20) to match your actual row count per asset group.

**Week-over-week trend formula** (put in a Trend column, starting at row 3):
```
=IF(E3 E2,"Improving",IF(E3 E2,"Declining","Stable"))
```
Compares the current week's BEST+GOOD % (E3) against last week's (E2). Adjust column reference to match where your BEST+GOOD % lives.

**Conditional formatting setup** (apply to column D - asset labels):
1. Select the entire label column (e.g., D2:D100)
2. Format   Conditional formatting
3. Add these rules in order:
   - "Text is exactly" = `Low` - Red background (#F4C7C3)
   - "Text is exactly" = `Best` - Green background (#B7E1CD)
   - "Text is exactly" = `Good` - Light green background (#D9EAD3)
   - "Text is exactly" = `Learning` - Yellow background (#FCE8B2)

### Conditional Formatting Rules

Apply these to the Google Sheet:
- **BEST+GOOD % (Text)**  = 50%: Green background
- **BEST+GOOD % (Text)** 30-49%: Yellow background (warning)
- **BEST+GOOD % (Text)**   30%: Red background (action needed)
- **BEST+GOOD % (Images)**  = 40%: Green
- **BEST+GOOD % (Images)** 20-39%: Yellow
- **BEST+GOOD % (Images)**   20%: Red

---

## Tab 3: Headline Score Log

Track every headline with its A.S.S.E.T. Protocol score using the 6-dimension rubric.

| Headline | Type (S/L) | Headline Type | Asset Group | 3-Rule Filter (/30) | Relevance (/20) | Clarity (/15) | Proofability (/15) | Uniqueness (/10) | Visual Synergy (/10) | Total (/100) | Emotional Validation (4/5) | Status | Current Label | Weeks at Label |
|----------|-----------|--------------|-------------|---------------------|-----------------|--------------|--------------------|-----------------|--------------------|-------------|---------------------------|--------|---------------|----------------|
| | S/L | Bold/Stat/Compare/Quote/Question/Offer | | 0 or 30 | | | | | | | P/F | Active/Pool/Replaced | | |
| | S/L | Bold/Stat/Compare/Quote/Question/Offer | | 0 or 30 | | | | | | | P/F | Active/Pool/Replaced | | |

**Headline Types**: Bold Call-Out, Statistic-to-Mechanism, Comparison, Customer Quote, Question, Offer/Price
**3-Rule Filter**: Binary 0 or 30 - must be Visualizable + Falsifiable + Unique

### Status Values
- **Active**: Currently uploaded in an asset group
- **Pool**: Scored and filtered, waiting in replacement queue
- **Replaced**: Was active, replaced due to LOW rating

### Replacement Queue (Sorted by Score, Descending)

| Rank | Headline | Score | Asset Group | Ready Since |
|------|----------|-------|-------------|-------------|
| 1 | | /100 | | |
| 2 | | /100 | | |
| 3 | | /100 | | |

---

## Tab 4: Image Performance

Track image assets across all groups.

| Image ID | Asset Group | Aspect Ratio | Image Type | Text Overlay | Current Label | Weeks at Label | Notes |
|----------|-------------|-------------|------------|-------------|---------------|----------------|-------|
| IMG-001 | | L/S/P | Product/Lifestyle/Social Proof/Problem/Before-After | Yes/No | | | |
| IMG-002 | | L/S/P | Product/Lifestyle/Social Proof/Problem/Before-After | Yes/No | | | |

### Image Type Distribution (Per Group)

| Image Type | Target % | Group 1 Actual | Group 2 Actual | Group 3 Actual | Group 4 Actual |
|------------|----------|---------------|---------------|---------------|---------------|
| Product-on-white | 20-30% | | | | |
| Lifestyle | 30-40% | | | | |
| Social proof overlay | 15-20% | | | | |
| Problem visualization | 10-15% | | | | |
| Before/after | 10-15% | | | | |

---

## Tab 5: Replacement History

Log every asset replacement for pattern analysis.

| Date | Asset Group | Asset Type | Old Asset | Old Label | Old Score | New Asset | New Score | Result After 2 Weeks | Notes |
|------|-------------|-----------|-----------|-----------|-----------|-----------|-----------|----------------------|-------|
| | | Headline/Desc/Image | | LOW/LEARNING | /100 | | /100 | BEST/GOOD/LOW | |
| | | Headline/Desc/Image | | LOW/LEARNING | /100 | | /100 | BEST/GOOD/LOW | |

### Replacement Rules (Quick Reference)
- Replace headlines rated LOW for 2+ consecutive weeks
- Maximum 2-3 headline replacements per week
- Maximum 1-2 image replacements per week
- Never replace BEST or GOOD assets
- Always replace with next-highest scored candidate from pool
- Log every replacement with reason

---

## Tab 6: Monthly Trend Dashboard

### Monthly Summary (Update at each monthly deep dive)

| Month | Avg BEST+GOOD % (Text) | Avg BEST+GOOD % (Images) | Avg CTR | Total Replacements | Headline Pool Remaining | New Headlines Generated |
|-------|------------------------|--------------------------|---------|-------------------|------------------------|------------------------|
| Month 1 | | | | | | |
| Month 2 | | | | | | |
| Month 3 | | | | | | |

### Winning Pattern Analysis

At each monthly review, document the patterns in your BEST-rated assets:

| Pattern Category | BEST Asset Examples | Common Thread |
|-----------------|--------------------|--------------|
| Emotional angle | | |
| Headline approach | First-Person / Specific Moment / Contradiction | |
| Image type | | |
| Description framework | Proof / Mechanism / Outcome / Social / Offer | |

### Action Items

| Month | Action | Priority | Status |
|-------|--------|----------|--------|
| | | High/Medium/Low | Done/In Progress/Planned |

---

## Setup Instructions

1. **Create Google Sheet** with 6 tabs named exactly as above
2. **Apply conditional formatting** per Tab 2 rules
3. **Populate Tab 1** with your campaign structure
4. **Enter all initial headlines** in Tab 3 with scores from the A.S.S.E.T. Protocol
5. **Enter all initial images** in Tab 4 with type classifications
6. **Set a weekly calendar reminder** for 30-minute updates
7. **Set a monthly calendar reminder** for the deep dive review

**Weekly update time**: 10-15 minutes (update Tab 2 labels, log any replacements in Tab 5)
**Monthly update time**: 30-45 minutes (full Tab 3-4 audit, Tab 6 summary, pattern analysis)


# 3-Campaign PMax Setup Template

## Campaign 1: Feed Only (Cold Traffic - Product Discovery)
| Setting | Value |
|---------|-------|
| Campaign type | Performance Max |
| Goal | Sales |
| Asset groups | 1 |
| Custom assets | None (feed only) |
| Audience signals | None |
| Search themes | None |
| URL expansion | OFF |
| Brand exclusions | ON (add brand terms) |
| Device exclusions | TABLET, CONNECTED_TV |
| tROAS | Start at 300%, reduce by 20% every 2 weeks until volume hits target |
| Budget | 40% of total PMax budget |

## Campaign 2: Demand Gen (Warm Traffic - Full Assets)
| Setting | Value |
|---------|-------|
| Campaign type | Performance Max |
| Goal | Sales |
| Asset groups | 1 (expand to 2-3 as budget grows) |
| Custom assets | Full (15 headlines, 5 long headlines, 5 descriptions, 20 images) |
| Audience signals | In-market audiences (mapped by product category) |
| Search themes | 20-30 (DataForSEO + Thief campaign terms) |
| URL expansion | OFF |
| Brand exclusions | ON |
| Device exclusions | TABLET, CONNECTED_TV |
| tROAS | Start at 250%, adjust based on 14-day performance |
| Budget | 40% of total PMax budget |

## Campaign 3: Remarketing (Hot Traffic - Past Visitors)
| Setting | Value |
|---------|-------|
| Campaign type | Performance Max |
| Goal | Sales |
| Asset groups | 3 (Visitors, Abandoners, Purchasers) |
| Custom assets | Full per group (unique messaging per audience) |
| Audience signals | Customer match lists + site visitor segments |
| Search themes | 10-15 per group (brand + high-intent) |
| URL expansion | OFF |
| Brand exclusions | OFF (brand searches from past visitors are valuable) |
| Device exclusions | TABLET, CONNECTED_TV |
| tROAS | Start at 400% (remarketing should be most profitable) |
| Budget | 20% of total PMax budget |

## Budget Calculator
| Monthly PMax Budget | Feed Only (40%) | Demand Gen (40%) | Remarketing (20%) |
|--------------------|-----------------|-------------------|-------------------|
| $3,000 | $1,200 | $1,200 | $600 |
| $5,000 | $2,000 | $2,000 | $1,000 |
| $10,000 | $4,000 | $4,000 | $2,000 |
| $20,000 | $8,000 | $8,000 | $4,000 |
| $50,000 | $20,000 | $20,000 | $10,000 |

## Remarketing Asset Group Messaging Guide

### Visitors (saw product, didn't add to cart)
- Tone: Warm, inviting, no pressure
- Headlines: "Still thinking about it?", "Here when you're ready"
- Images: Product in cozy, aspirational setting

### Abandoners (added to cart, didn't purchase)
- Tone: Urgency without desperation
- Headlines: "Your cart misses you", "Almost yours"
- Images: Dynamic, action-oriented, "about to be owned"

### Purchasers (bought before)
- Tone: Exclusive, VIP treatment
- Headlines: "Welcome back", "Something new for you"
- Images: Premium, gift-like presentation

## Launch Sequence
1. Launch Feed Only first (Day 1)
2. Add Demand Gen after 50+ conversions on Feed Only (typically Week 2-4)
3. Add Remarketing after 1,000+ site visitors accumulated (typically Week 3-6)
4. Never launch all 3 simultaneously - sequential rollout prevents budget waste


# PMax Asset Specification Cheat Sheet

## Text Assets (Per Asset Group)

| Asset Type | Character Limit | Count Required | Tips |
|-----------|----------------|----------------|------|
| Short Headlines | 30 characters | 15 | Front-load benefit. No punctuation at end. |
| Long Headlines | 90 characters | 5 | Use Emotional Contradiction approach. |
| Descriptions | 90 characters | 5 | Match to audience temperature. |

## Image Assets (Per Asset Group)

| Format | Dimensions | Aspect Ratio | Count | Best For |
|--------|-----------|-------------|-------|----------|
| Landscape | 1200 x 628 px | 1.91:1 | 7 | Desktop display, YouTube |
| Square | 1200 x 1200 px | 1:1 | 7 | Social placements, mobile |
| Portrait | 960 x 1200 px | 4:5 | 6 | Mobile feed, vertical placements |
| **Total** | | | **20** | |

## Image Quality Rules
- Minimum size: 100x100px (250x250px for apparel)
- Maximum file size: 16 MB
- Supported formats: JPEG, PNG, WebP
- No watermarks, promotional text, or placeholder images
- Product should fill 75%+ of frame

## Total Assets Per Campaign Type

| Campaign | Asset Groups | Text Assets | Image Assets | Search Themes |
|----------|-------------|-------------|-------------|---------------|
| Feed Only | 1 | 0 (feed only) | 0 (feed only) | 0 |
| Demand Gen | 1-3 | 25 per group | 20 per group | 20-30 per group |
| Remarketing | 3 | 25 per group = 75 | 20 per group = 60 | 10-15 per group |
| **Full 3-Campaign** | **5-7** | **100-175** | **80-140** | **80-135** |

## Headline Scoring Quick Reference
Score each headline 0-100. Must score  =70 to use.

| Criteria | Points |
|----------|--------|
| 3-Rule Filter (Visualizable + Falsifiable + Unique) | 30 |
| Angle relevance | 20 |
| Clarity ( 2 second comprehension) | 15 |
| Backed by data/proof | 15 |
| Brand uniqueness | 10 |
| Visual synergy with images | 10 |

## Asset Label Guide
| Label | Meaning | Action |
|-------|---------|--------|
| BEST | Top performer | Never replace. Create variations. |
| GOOD | Solid performer | Keep. Create more like it. |
| LOW | Underperforming | Replace after 2+ weeks at LOW. |
| LEARNING | Insufficient data | Wait 4 weeks. Replace if still LEARNING. |


# Search Theme Research Protocol

## Overview
Search themes tell PMax which queries to target. Most advertisers add 5-10 generic terms and hope for the best. This protocol generates 20-50 high-relevance themes per asset group using two data sources.

## Source 1: DataForSEO Keyword Research

### Step 1: Seed Keywords
Start with 3-5 seed terms per product category:
- Product category name (e.g., "memory foam pillow")
- Product type + modifier (e.g., "cooling pillow for side sleepers")
- Problem the product solves (e.g., "pillow for neck pain")

### Step 2: Expand with Related Keywords
For each seed, pull:
- Related keywords (aim for 50-100 per seed)
- "People also search for" suggestions
- Question-based queries ("best pillow for...", "how to choose...")

### Step 3: Filter for Buying Intent
Keep only terms with buying intent signals:

| Modifier Type | Examples |
|-------------|---------|
| Purchase intent | buy, shop, order, purchase, get, find |
| Comparison | best, top, vs, compare, review, rated |
| Price sensitivity | cheap, affordable, discount, deal, sale, price |
| Specificity | for [use case], with [feature], [size/color] |

### Step 4: Volume   CPC Filters
- Search volume:  100/month (remove ultra-long-tail)
- CPC:  $0.50 (low CPC = low commercial intent)
- Competition: Any (PMax handles competition differently than Search)

### Step 5: Sort and Select
- Sort by CPC descending (highest CPC = highest buying intent)
- Then by search volume descending
- Select top 15-25 terms

## Source 2: Thief Campaign Converting Terms

If you run Standard Shopping campaigns alongside PMax:

### Step 1: Pull Search Term Report
- Date range: Last 90 days
- Filter: Conversions   0
- Sort by: Conversions descending, then ROAS descending

### Step 2: Extract Top Performers
- Take top 15 converting search terms
- Note their conversion rate and ROAS
- These are PROVEN buyers - highest priority themes

### Step 3: Merge with DataForSEO Terms
- Thief terms get priority positions (slots 1-15)
- DataForSEO terms fill remaining slots (16-30)
- Remove duplicates
- Final target: 25-35 themes per asset group

## Theme Assignment Rules

| Campaign Type | Theme Strategy |
|-------------|---------------|
| Feed Only | No themes (feed data drives matching) |
| Demand Gen | 20-30 themes: mix of commercial + informational |
| Remarketing - Visitors | 10-15 themes: brand + high-intent product terms |
| Remarketing - Abandoners | 10-15 themes: brand + specific product names |
| Remarketing - Purchasers | 10-15 themes: brand + complementary products |

## Monthly Refresh Cadence
1. Pull fresh search term data (first Monday of month)
2. Add new converting terms from last 30 days
3. Remove themes with zero impressions for 30+ days
4. Check for new DataForSEO opportunities quarterly
5. Target: 30 active themes per asset group after optimization


# TOF PMax Campaign Planner

## What is TOF PMax?
Top-of-Funnel Performance Max campaigns that drive cold traffic to presell pages (articles, guides, comparisons) instead of product pages. Lower direct ROAS, but builds a remarketing pool that converts at 5-8x through retargeting.

## Prerequisites
Before launching TOF PMax:
- [ ] Standard PMax running with 50+ conversions/month
- [ ] At least 1 presell page live (guide, advertorial, or listicle)
- [ ] Remarketing campaign set up to capture TOF visitors
- [ ] GA4 micro-conversion events on presell pages (scroll depth, time on page, CTA clicks)

## Page Type Selection

| Page Type | Word Count | Products Featured | CTAs | Best For |
|----------|-----------|------------------|------|----------|
| Guide | 3,000-5,000 | 5-8 | 3-5 | Educational buyers, high consideration |
| Listicle | 2,000-3,000 | 7-12 | 4-6 | Comparison shoppers |
| Advertorial | 2,500-3,500 | 2-3 | 3-4 | Story-driven buyers |
| Comparison | 2,000-4,000 | 3-5 | 3-5 | Active researchers |

## Campaign Setup

| Setting | Value | Why |
|---------|-------|-----|
| tROAS | 150-200% of break-even | Intentionally low to force volume |
| Budget | 10-15% of total Google Ads spend | Test budget, not primary |
| Audience signals | In-market audiences only | Cold traffic - no remarketing |
| Customer match | EXCLUDE existing customers | Cold only |
| Search themes | 20-50 informational queries | "how to", "best", "guide" modifiers |
| URL expansion | OFF | Control which pages get traffic |
| Final URL | Presell page URL only | One page per campaign |

## Expected Metrics

| Metric | TOF PMax | Standard PMax | Notes |
|--------|---------|---------------|-------|
| CPC | $0.50-1.50 | $2.00-5.00 | Informational traffic is cheaper |
| CTR | 1.5-3.0% | 0.5-1.5% | Content pages get higher CTR |
| Direct ROAS | 1.5-2.0x | 3.0-8.0x | Looks bad - this is expected |
| 30-day LTV ROAS | 2.8-5.0x | 3.0-8.0x | Include remarketing conversions |
| Remarketing pool growth | 500-2000/month | N/A | The real asset being built |

## ROI Calculation Template

| | Month 1 | Month 2 | Month 3 |
|---|---------|---------|---------|
| TOF PMax spend | $_____ | $_____ | $_____ |
| Direct revenue | $_____ | $_____ | $_____ |
| Direct ROAS | ___x | ___x | ___x |
| Remarketing conversions (from TOF visitors) | $_____ | $_____ | $_____ |
| Combined ROAS | ___x | ___x | ___x |
| Net new remarketing pool size | _____ | _____ | _____ |

## Page-to-Campaign Mapping

Create ONE campaign per presell page:

| Campaign Name | Page URL | Page Type | Search Theme Focus |
|--------------|----------|-----------|-------------------|
| TOF-PMax-Guide-[topic] | /guides/[topic] | Guide | Informational queries |
| TOF-PMax-List-[topic] | /best-[topic] | Listicle | Comparison queries |
| TOF-PMax-Adv-[topic] | /articles/[topic] | Advertorial | Problem-aware queries |

## 30-Day Launch Sequence

**Week 1**: Launch with $25-50/day. Let Google learn.
**Week 2**: Review search term report. Add negatives for junk queries. Adjust themes.
**Week 3**: If CPC   $2 and CTR   1%, increase budget 20%. If not, review page quality.
**Week 4**: Measure 30-day LTV ROAS (include remarketing conversions from TOF visitors). Decision: scale, iterate, or pause.

## When to Pause
- 30-day LTV ROAS   2.0x after 60 days
- CPC consistently   $3.00 (traffic isn't informational enough)
- Remarketing pool not growing (page quality issue)
- Presell page bounce rate   80% (content problem)


# Bonus 1: Client Onboarding Checklist Template

**Standalone Value**: $197
**Purpose**: The exact 63-point onboarding checklist we run on every new client. Walk through each phase, check every box, and never miss a critical setup step again. Based on the 8-phase brand-onboard protocol that's processed 160+ accounts across 22 markets.

**Note**: This bonus document doubles as the working template. Print it, copy it, or build it into your project management tool.

---

## Why This Matters

We tracked onboarding across 160+ accounts. The pattern was painfully consistent: agencies that wing onboarding lose 35% more clients within 12 months than those with a structured process.

The worst part? Most churn from bad onboarding doesn't show up until month 3-4. By then, the damage is done. The client already decided you're disorganized. They're already shopping for your replacement.

This checklist eliminates that. Every phase has a purpose. Every item exists because skipping it cost someone real money.

---

## How to Use This Checklist

1. **Start this checklist the day the contract is signed** - not the day you start work
2. **Assign an owner** to each phase (AM, Specialist, or Account Lead)
3. **Complete Phase 1 before the kickoff call** - show up prepared or don't show up
4. **Target: Full checklist completed within 5 business days** for standard accounts
5. **Document blockers** - if a client delays access, log it. You'll need the paper trail.

---

## Phase 1: Pre-Kickoff (Before First Call)

Complete these BEFORE the kickoff meeting. Walking into a kickoff without this done is like showing up to surgery without reading the chart.

- [ ] Contract fully executed and filed
- [ ] Billing/payment setup confirmed
- [ ] Client added to project management system
- [ ] Dedicated Slack/Teams channel created
- [ ] Internal kickoff brief prepared (industry, products, goals, known history)
- [ ] Competitor shortlist pulled (3-5 direct competitors identified)
- [ ] Client's website reviewed (product pages, checkout flow, conversion paths)
- [ ] Previous ad account history requested (even if switching from another agency)

**Phase Owner**: Account Manager
**Timeline**: 1-2 days after contract signed
**Blocker Protocol**: If client hasn't returned pre-kickoff questionnaire within 48 hours, escalate with a polite but direct follow-up. Don't let the project stall before it starts.

---

## Phase 2: Account Access (Day 1-2)

Request ALL access on day 1. Not day 3. Not "when we get to it." Day 1.

- [ ] Google Ads account - Admin access (not Standard, not Read-only)
- [ ] Google Analytics 4 - Editor access minimum
- [ ] Google Tag Manager - Publish access
- [ ] Google Merchant Center - Admin access (for ecommerce)
- [ ] Google Search Console - Full user access
- [ ] Google Business Profile access (if applicable)
- [ ] Shopify/WooCommerce/Platform admin access (or collaborator with required permissions)
- [ ] Facebook/Meta Business Manager access (for cross-channel visibility)
- [ ] Any third-party attribution tool access (Triple Whale, Northbeam, etc.)

**Access Verification Protocol**:
For each platform, confirm you can:
1. View all historical data (not just from your access date)
2. Make changes (not view-only)
3. Export data
4. Manage users (for future team members)

**Phase Owner**: Account Manager + Specialist
**Timeline**: Request day 1, confirm by day 2
**Blocker Protocol**: Access delays are the number one onboarding killer. If access isn't granted within 48 hours, flag to the client stakeholder directly. Frame it as: "Every day without access is a day we can't start delivering results."

---

## Phase 3: Tracking Verification (Day 2-3)

Don't trust existing tracking. Verify everything. We've seen agencies inherit "working" tracking that was double-counting conversions for 6 months.

- [ ] GA4 property confirmed and receiving data
- [ ] Google Ads conversion actions audited (list all active actions)
- [ ] Primary conversion action identified and validated (purchase, lead, etc.)
- [ ] Conversion value accuracy verified (matches actual transaction values)
- [ ] Enhanced conversions enabled and configured
- [ ] GTM container reviewed (no conflicting tags, no legacy code)
- [ ] Cross-domain tracking verified (if multi-domain)
- [ ] Attribution model documented (data-driven, last-click, etc.)
- [ ] Conversion lag assessed (days between click and conversion)

**Tracking Health Score**:

| Status | Description | Action |
|--------|------------|--------|
| GREEN | All conversions verified, values accurate, no duplicates | Proceed to campaign work |
| YELLOW | Minor gaps (missing enhanced conversions, attribution unclear) | Fix within first week |
| RED | Conversion data unreliable, duplicates found, values wrong | STOP - fix tracking before ANY campaign changes |

**Phase Owner**: Specialist
**Timeline**: Day 2-3
**Critical Rule**: Never optimize campaigns based on unverified tracking data. If tracking is RED, the first 1-2 weeks of the engagement are tracking remediation. Set this expectation with the client immediately.

---

## Phase 4: Account Audit (Day 2-4)

This is your baseline. Everything you do from here gets measured against what you inherited.

- [ ] Campaign structure documented (all campaigns, ad groups, asset groups)
- [ ] Current performance benchmarks captured (last 30, 60, 90 days)
- [ ] Budget allocation mapped (spend by campaign, channel)
- [ ] Search terms report pulled (last 90 days minimum)
- [ ] Negative keyword lists audited
- [ ] Bid strategy assessment (what's running, what should change)
- [ ] Shopping feed health check (if ecommerce - approval rate, disapprovals, warnings)
- [ ] Audience lists inventoried (remarketing, customer match, similar)
- [ ] Ad extension completeness check
- [ ] Quality Score distribution documented (for Search campaigns)

**Audit Output**: A single document that captures the state of the account on day one. This becomes your proof of progress. When the client asks "what have you done?" in month 3, you pull this out.

**Phase Owner**: Specialist + Account Lead review
**Timeline**: Day 2-4

---

## Phase 5: Strategy Documentation (Day 3-5)

This is where you translate audit findings into a plan. No strategy doc = no alignment = scope creep waiting to happen.

- [ ] 30-60-90 day plan drafted with specific milestones
- [ ] KPI targets agreed with client (ROAS, CPA, revenue, etc.)
- [ ] Campaign architecture plan defined (what stays, what changes, what's new)
- [ ] Budget recommendation documented (by campaign type and channel)
- [ ] Quick wins identified (first 2 weeks of actionable improvements)
- [ ] Testing roadmap outlined (what you'll test in months 1-3)

**Strategy Document Structure**:
```
1. Current State Summary (from audit)
2. Opportunity Analysis (where the gaps are)
3. 30-Day Priority Actions (quick wins + foundation)
4. 60-Day Build Phase (new campaigns, restructure)
5. 90-Day Scale Phase (optimization, expansion)
6. KPI Targets by Timeframe
7. Budget Allocation Recommendation
8. Explicit Scope Definition (what's included, what's not)
```

**Phase Owner**: Account Lead
**Timeline**: Day 3-5

---

## Phase 6: Client Communication Setup (Day 1-3)

Set the communication rhythm from day one. 73% of client churn comes from poor communication, not poor performance. This phase prevents that.

- [ ] Reporting cadence agreed (weekly updates? bi-weekly? monthly?)
- [ ] Meeting cadence scheduled (recurring calendar invites sent)
- [ ] Report format confirmed (what metrics, what format, who receives)
- [ ] Escalation contacts identified (client-side decision maker for approvals)
- [ ] Scope boundaries documented in writing (what's in, what's out)
- [ ] Response time SLA set (how fast you reply to client messages)
- [ ] Feedback loop established (how client flags concerns or priorities)

**Communication Cadence by Account Size**:

| Monthly Spend | Update Frequency | Meeting Frequency | Report Type |
|--------------|-----------------|-------------------|-------------|
| $1-5K | Weekly async update | Bi-weekly call | Summary |
| $5-15K | Weekly async update | Weekly call | Standard |
| $15-30K | 2x/week async | Weekly call | Detailed |
| $30K+ | Daily monitoring, 2x/week async | Weekly call + monthly QBR | Full funnel |

**Phase Owner**: Account Manager
**Timeline**: Day 1-3

---

## Phase 7: Kickoff Meeting (Day 3-5)

The kickoff is where you set the tone for the entire engagement. Come prepared or you've already lost.

- [ ] Agenda sent 24 hours before meeting
- [ ] Audit findings presented (not raw data - insights and implications)
- [ ] Strategy document reviewed and feedback collected
- [ ] 30-day action items confirmed
- [ ] Roles and responsibilities clarified (who does what on both sides)
- [ ] Next meeting scheduled before ending the call
- [ ] Meeting notes sent within 4 hours

**Kickoff Agenda Template**:
```
1. Introductions + roles (5 min)
2. Audit findings + current state (15 min)
3. Strategy overview + 30-60-90 plan (20 min)
4. KPIs and success metrics alignment (10 min)
5. Communication and reporting expectations (5 min)
6. Q A + next steps (10 min)
```

**Phase Owner**: Account Lead + Account Manager
**Timeline**: Day 3-5

---

## Phase 8: Handoff to Operations (Day 5)

The onboarding is complete when the account transitions from "setup mode" to "active management." This handoff makes that boundary explicit.

- [ ] All access verified and working
- [ ] Tracking confirmed GREEN or YELLOW with fix timeline
- [ ] Strategy document signed off by client
- [ ] First week action items assigned to specialist
- [ ] Internal knowledge base entry created (client preferences, history, contacts)
- [ ] Onboarding checklist archived in client folder (timestamped)
- [ ] Client marked as "Active" in your system

---

## Onboarding Completion Summary

| Phase | Status | Owner | Date Completed | Notes |
|-------|--------|-------|---------------|-------|
| 1. Pre-Kickoff | ___ | ___ | ___ | ___ |
| 2. Account Access | ___ | ___ | ___ | ___ |
| 3. Tracking Verification | ___ | ___ | ___ | ___ |
| 4. Account Audit | ___ | ___ | ___ | ___ |
| 5. Strategy Documentation | ___ | ___ | ___ | ___ |
| 6. Communication Setup | ___ | ___ | ___ | ___ |
| 7. Kickoff Meeting | ___ | ___ | ___ | ___ |
| 8. Handoff to Operations | ___ | ___ | ___ | ___ |

**Target**: All 8 phases completed within 5 business days.
**Reality check**: Most agencies take 2-3 weeks. If you hit 5 days consistently, you're in the top 10% of operational efficiency.

---

**Reference**: Module 2 (Client Onboarding SOPs) + Module 3 (Account Setup SOPs), The Agency Google Ads SOP System


# Bonus 2: Weekly Optimization Checklist by Account Size

**Standalone Value**: $147
**Purpose**: The tiered weekly review protocol we run across 160+ accounts. Sized to your client's spend level so you're not wasting 2 hours on a $3K account or rushing through a $50K one. 30-minute protocol for each tier with confidence-level decision framework.

**Note**: This bonus document doubles as the working template. Print one per account and work through it every Monday.

---

## Why This Matters

Most agencies either over-optimize small accounts (burning margin on $2K clients) or under-optimize large ones (missing $10K+ opportunities because they ran the same surface-level check on every account).

The fix isn't working harder. It's working differently based on what the account size actually demands.

After running weekly optimization across 160+ accounts, we landed on three tiers that match effort to opportunity. A $3K/month account doesn't need the same depth as a $30K one. But it still needs the RIGHT checks.

---

## Confidence Level Framework

Before acting on any finding, classify your confidence:

| Level | Meaning | Action | Example |
|-------|---------|--------|---------|
| **HIGH** | Data is clear, pattern is consistent (7+ days, statistically significant) | Act immediately | Search term burning $500 with 0 conversions over 14 days |
| **MEDIUM** | Pattern emerging but not definitive (3-7 days, directional) | Test first, set a review date | New keyword showing promise at 1.8x ROAS (below 2.5x target) but only 5 days of data |
| **LOW** | Noise or insufficient data ( 3 days, single occurrence) | Monitor only, don't touch | Campaign CPA spiked yesterday but has been stable for weeks |

**The Rule**: Never make HIGH-confidence changes on LOW-confidence data. The number of accounts we've seen destroyed by Monday-morning overreactions to weekend dips is genuinely depressing.

---

## Tier 1: Small Accounts ($1-5K/month)

**Time budget**: 20-30 minutes per account
**Frequency**: Weekly (Monday morning)
**Focus**: Keep it clean, catch problems, don't over-optimize

### The 30-Minute Small Account Protocol

**Minutes 1-5: Performance Snapshot**
- [ ] Check overall spend vs budget (pacing on track?)
- [ ] Review ROAS/CPA vs target (within 20% tolerance?)
- [ ] Flag any campaign that's over or under budget by  15%
- [ ] Confidence: If metrics are within tolerance, move on. Don't tinker.

**Minutes 5-12: Search Term Review**
- [ ] Pull last 7 days of search terms
- [ ] Add negatives for irrelevant terms (spend   $5 with 0 conversions)
- [ ] Flag any promising new terms for keyword expansion
- [ ] Check for brand term cannibalization across campaigns
- [ ] Confidence level for each negative: HIGH only (don't negative a term with 3 days of data)

**Minutes 12-18: Campaign Health**
- [ ] Check impression share (Search IS below 50%? Flag.)
- [ ] Review ad disapprovals or policy issues
- [ ] Confirm Shopping feed has no new disapprovals
- [ ] Check bid strategy status (learning? limited? active?)
- [ ] If bid strategy is in "learning" - don't touch it. Wait.

**Minutes 18-25: Quick Wins**
- [ ] Any ad with CTR below 1% on Search? Pause and refresh creative
- [ ] Any product group with $100+ spend and 0 conversions? Exclude or restructure
- [ ] Any geo or device segment bleeding budget? Note for next month's review
- [ ] Budget reallocation needed? (Shift from underperformers to winners)

**Minutes 25-30: Documentation**
- [ ] Log changes made (what, why, confidence level)
- [ ] Note anything that needs MEDIUM-confidence monitoring next week
- [ ] Flag escalation items for account lead (if applicable)

**What NOT to do on small accounts**:
- Don't restructure campaigns weekly
- Don't adjust bids more than once per week
- Don't run A/B tests with insufficient budget (need $500+ per variant minimum)
- Don't spend 2 hours "optimizing" a $3K account. Your margin can't absorb it.

---

## Tier 2: Medium Accounts ($5-15K/month)

**Time budget**: 30-45 minutes per account
**Frequency**: Weekly (Monday morning)
**Focus**: Active optimization, testing velocity, growth identification

### The 45-Minute Medium Account Protocol

**Minutes 1-8: Performance Deep Dive**
- [ ] Check overall spend vs budget (pacing on track?)
- [ ] Review ROAS/CPA by campaign type (Shopping, Search, PMax, DemandGen)
- [ ] Compare this week vs last week vs 4-week average
- [ ] Flag anomalies: any metric that moved  25% week-over-week
- [ ] Confidence: Compare against 4-week trend, not just last week

**Minutes 8-18: Search Term and Keyword Management**
- [ ] Pull last 7 days of search terms across all campaigns
- [ ] Add negatives (spend   $10 with 0 conversions, HIGH confidence)
- [ ] Identify new keyword opportunities (3+ impressions, relevant, not yet targeted)
- [ ] Review keyword quality scores (any dropped below 5? Investigate)
- [ ] Check negative keyword conflicts (any negatives blocking good terms?)
- [ ] Assess search term to keyword match quality (tight or drifting?)

**Minutes 18-28: Channel-by-Channel Review**
- [ ] Shopping: Product group performance, any disapprovals, impression share
- [ ] Search: Ad group performance, RSA asset ratings, keyword performance
- [ ] PMax: Asset group performance, audience signals, search themes review
- [ ] DemandGen: Placement performance, creative fatigue check
- [ ] Confidence: Per-channel decisions based on that channel's data depth

**Minutes 28-38: Testing and Expansion**
- [ ] Active tests status check (running, conclusive, inconclusive?)
- [ ] New test identification (1 test per account per week minimum)
- [ ] Geographic performance review (any region under/over-performing?)
- [ ] Device performance review (mobile vs desktop vs tablet gaps?)
- [ ] Audience performance check (remarketing vs prospecting efficiency)

**Minutes 38-45: Documentation and Planning**
- [ ] Log all changes with confidence levels
- [ ] Update knowledge base (what's winning, what's losing)
- [ ] Flag items for monthly report narrative
- [ ] Note MEDIUM-confidence items for next week monitoring
- [ ] Escalation items flagged for account lead

**Escalation Triggers (Medium Accounts)**:
- ROAS drops  30% week-over-week with no obvious external cause
- Spend pacing  25% over budget
- New competitor appearing in auction insights with  15% impression share
- Client request that falls outside defined scope

---

## Tier 3: Large Accounts ($15K+/month)

**Time budget**: 45-60 minutes per account
**Frequency**: Weekly (Monday morning) + Wednesday spot-check
**Focus**: Full-spectrum optimization, proactive strategy, competitive monitoring

### The 60-Minute Large Account Protocol

**Minutes 1-10: Executive Performance Review**
- [ ] Check overall spend vs budget across all campaigns
- [ ] Review funnel-aware metrics: Direct ROAS, Funnel ROAS, Funnel Ratio
- [ ] Compare performance by funnel stage: BOFU, MOFU, TOFU
- [ ] TOFU Bleed Detection: Is TOFU spend creeping above 20% of total without proportional Funnel ROAS?
- [ ] Week-over-week, month-over-month, year-over-year comparison
- [ ] Flag any campaign with  $1,000 spend and below-target efficiency

**Minutes 10-22: Search Term Deep Dive**
- [ ] Pull 7-day and 30-day search term reports
- [ ] Add negatives (HIGH confidence: $20+ spend, 0 conversions, 14+ days)
- [ ] Keyword expansion list (new terms with 5+ clicks and positive signals)
- [ ] Match type analysis (broad match bleeding into irrelevant territory?)
- [ ] Query-to-keyword ratio check (too many queries per keyword = loose matching)
- [ ] N-gram analysis: common word patterns in converting vs non-converting terms

**Minutes 22-35: Channel Performance**
- [ ] Shopping: Impression share by product group, competitive pricing check, feed quality
- [ ] Search: RSA asset performance, ad rotation, keyword-level ROAS
- [ ] PMax: Asset group signals, search category insights, conversion paths
- [ ] DemandGen: Placement audit, frequency caps, creative performance
- [ ] YouTube (if active): View rate, CPV trends, audience retention
- [ ] Per-channel budget reallocation recommendations (shift budget to what's working)

**Minutes 35-48: Competitive and Market Intelligence**
- [ ] Auction Insights review (new competitors? share changes?)
- [ ] Impression share lost to budget vs rank
- [ ] Seasonal trend check (upcoming events, category shifts)
- [ ] Competitor ad copy monitoring (any new messaging or offers?)
- [ ] Market-level CPC trends (rising, stable, falling?)

**Minutes 48-55: Testing and Strategy**
- [ ] Active test results review (statistical significance check)
- [ ] New test queue (2-3 tests per week on large accounts)
- [ ] Landing page performance by campaign (conversion rate gaps?)
- [ ] Audience strategy review (new segments to test, underperformers to cut)
- [ ] Budget scaling opportunities (campaigns with headroom to grow)

**Minutes 55-60: Documentation and Communication**
- [ ] Log all changes with confidence levels and expected impact
- [ ] Update knowledge base (WINNING, LOSING, COMPLIANCE entries)
- [ ] Draft key points for weekly client update
- [ ] Flag items for QBR discussion
- [ ] Set Wednesday spot-check priorities

### Wednesday Spot-Check (15 minutes)
- [ ] Budget pacing still on track?
- [ ] Any anomalies since Monday's optimization?
- [ ] Tests progressing as expected?
- [ ] Any urgent client communications needed?

---

## Weekly Optimization Log Template

Use this to track every change across all accounts:

| Date | Account | Change Made | Confidence | Expected Impact | Actual Impact (Next Week) |
|------|---------|------------|------------|----------------|--------------------------|
| ___ | ___ | ___ | HIGH/MED/LOW | ___ | ___ |
| ___ | ___ | ___ | HIGH/MED/LOW | ___ | ___ |
| ___ | ___ | ___ | HIGH/MED/LOW | ___ | ___ |

Review the "Actual Impact" column every week. Over time, this log becomes your decision-making playbook - you'll see which types of changes consistently deliver results and which ones were noise.

---

## Escalation Matrix

| Trigger | Tier 1 (Small) | Tier 2 (Medium) | Tier 3 (Large) |
|---------|----------------|-----------------|----------------|
| ROAS drops  30% WoW | Monitor 1 week | Investigate same day | Investigate + client alert same day |
| Overspend  25% | Pause lowest performer | Reallocate budget | Reallocate + client notification |
| Tracking breaks | Alert client + pause if needed | Alert client + fix immediately | Emergency fix + client call within 4 hours |
| New competitor  15% IS | Note for monthly review | Active monitoring | Competitive response strategy within 48 hours |
| Client scope request | Log and discuss at next meeting | Assess within 24 hours | Same-day assessment + change order if needed |

---

**Reference**: Module 4 (Weekly Optimization SOPs) + Module 7 (Client Communication SOPs), The Agency Google Ads SOP System


# Bonus 3: Monthly Report Template + Narrative Guide

**Standalone Value**: $247
**Purpose**: The complete monthly reporting framework adapted from our 15-report parallel system. Not just a data dump - a narrative structure that tells the story, highlights wins, explains setbacks, and gives clients confidence they're in good hands. Includes funnel-aware metrics most agencies don't even know exist.

**Note**: This bonus document doubles as the working template. Adapt the sections to your reporting tool (Google Slides, Looker Studio, PDF, whatever your clients prefer).

---

## Why This Matters

We tracked reporting efficiency across a 12-client agency. Before standardization: 8-10 hours per client per month on reports. That's 96-120 hours monthly just on reporting.

After implementing this framework: 2-3 hours per client. 36 hours total. Client satisfaction went UP by 40%.

The difference wasn't less data. It was better structure. Clients don't want more numbers. They want to understand what the numbers mean and what you're doing about them.

---

## The Narrative Writing Principle

Here's what separates a report that retains clients from one that gets forwarded to "the new agency we're evaluating."

**Bad report narrative**: "ROAS decreased from 4.2x to 3.6x this month."

**Good report narrative**: "ROAS moved from 4.2x to 3.6x as we scaled budget 25% into non-branded campaigns. This is expected during expansion phases - we're trading short-term efficiency for long-term customer acquisition. Non-branded is generating first-time buyers at $38 CPA, which is within our $45 target. We expect ROAS to recover to 4.0x+ within 3-4 weeks as the algorithm optimizes around these new audiences."

The difference: context, expectation setting, and a clear path forward.

**Three rules for report narratives**:
1. Never present a number without context (what changed and why)
2. Never present a problem without a plan (what you're doing about it)
3. Never present a win without attribution (what you did that caused it)

---

## Report Structure (8 Sections)

### Section 1: Executive Summary (1 page)

This is the only section most stakeholders read. Make it count.

**Template**:

```
MONTHLY PERFORMANCE REPORT
[Client Name] | [Month Year]
Prepared by: [Your Agency Name]

HEADLINE:
[One sentence summarizing the month. Lead with the win or the key strategic move.]
Example: "Revenue grew 18% MoM while maintaining 4.1x ROAS as we expanded into YouTube and non-branded search."

KEY METRICS:
| Metric          | This Month | Last Month | MoM Change | Target  | Status    |
|-----------------|-----------|-----------|-----------|---------|-----------|
| Revenue         | $___      | $___      | ___%      | $___    | ON/OFF    |
| Ad Spend        | $___      | $___      | ___%      | $___    | ON/OFF    |
| ROAS            | ___x      | ___x      | ___%      | ___x    | ON/OFF    |
| CPA             | $___      | $___      | ___%      | $___    | ON/OFF    |
| Conversions     | ___       | ___       | ___%      | ___     | ON/OFF    |
| New Customers   | ___       | ___       | ___%      | ___     | ON/OFF    |

TOP 3 WINS:
1. [Win with specific numbers]
2. [Win with specific numbers]
3. [Win with specific numbers]

TOP 3 PRIORITIES NEXT MONTH:
1. [Action with expected impact]
2. [Action with expected impact]
3. [Action with expected impact]
```

**Narrative Guide**: Write the headline LAST, after you've analyzed everything. The headline should make a CMO feel confident forwarding this to their CEO.

---

### Section 2: Funnel-Aware Performance (1 page)

This is where you separate yourself from every agency sending basic ROAS reports. Most agencies report blended ROAS. That hides the real story.

**Funnel Metrics Framework**:

| Metric | Definition | How to Calculate |
|--------|-----------|-----------------|
| **Direct ROAS** | Revenue directly attributed to ads / Ad Spend | Standard Google Ads ROAS |
| **Funnel ROAS** | Total revenue (including assisted) / Ad Spend | Includes view-through, cross-channel assists |
| **Funnel Ratio** | Funnel ROAS / Direct ROAS | Shows how much "hidden" revenue your ads drive |

**Report Template**:

```
FUNNEL PERFORMANCE:
| Funnel Stage | Spend    | Direct ROAS | Funnel ROAS | Funnel Ratio | Target |
|-------------|---------|-------------|-------------|--------------|--------|
| BOFU        | $___    | ___x        | ___x        | ___x         | 3.0x+  |
| MOFU        | $___    | ___x        | ___x        | ___x         | 1.5-3x |
| TOFU        | $___    | ___x        | ___x        | ___x         | 0.5-1.5x |
| TOTAL       | $___    | ___x        | ___x        | ___x         | ___x   |

TOFU BLEED CHECK:
- TOFU as % of total spend: ___%
- Threshold:  20% of total spend (unless client has approved expansion)
- Status: HEALTHY / WARNING / BLEED DETECTED
```

**TOFU Bleed Detection Explained**: TOFU (top of funnel) campaigns naturally have lower Direct ROAS. That's expected - you're reaching people who aren't ready to buy yet. But if TOFU spend creeps above 20% of total budget without proportional Funnel ROAS improvement, you have a bleed. Money is going to awareness without converting downstream.

**How to talk about this with clients**: "Your BOFU campaigns are delivering 4.8x ROAS - that's your direct revenue engine. Your MOFU is at 2.1x, which means the non-branded and audience campaigns are generating first-time buyers efficiently. TOFU is at 0.8x direct, but 1.9x when we include the funnel effect. These new visitors are converting within 14 days through other channels."

---

### Section 3: Channel-by-Channel Breakdown (2-3 pages)

Report each active channel separately. Same structure for each so clients can compare.

**Per-Channel Template**:

```
[CHANNEL NAME] (e.g., Google Shopping)
═══════════════════════════════════════

Performance:
| Metric       | This Month | Last Month | MoM Change | Status |
|-------------|-----------|-----------|-----------|--------|
| Spend        | $___      | $___      | ___%      | ___    |
| Revenue      | $___      | $___      | ___%      | ___    |
| ROAS         | ___x      | ___x      | ___%      | ___    |
| Conversions  | ___       | ___       | ___%      | ___    |
| Clicks       | ___       | ___       | ___%      | ___    |
| CPC          | $___      | $___      | ___%      | ___    |
| Impr. Share  | ___%      | ___%      | ___ pts   | ___    |

What worked:
- [Specific tactic with result]
- [Specific tactic with result]

What we're addressing:
- [Issue with plan]

Next month's plan:
- [Action 1]
- [Action 2]
```

**Channels to cover** (include all that are active):
1. Shopping (Standard + Performance Max shopping assets)
2. Search (Branded)
3. Search (Non-Branded)
4. Performance Max (non-shopping)
5. Demand Gen
6. YouTube
7. Display (if active)

**Narrative Guide per Channel**:
- Shopping: Focus on impression share, feed quality changes, and product-level performance
- Branded Search: Focus on defense (impression share, CPC trends, competitor activity)
- Non-Branded Search: Focus on efficiency vs growth tradeoff, new keyword wins
- PMax: Focus on asset performance, audience signals, and where it's actually spending
- Demand Gen/YouTube: Focus on creative performance, frequency, and assisted conversions

---

### Section 4: Campaign-Level Performance Table (1 page)

The detail table for clients who want to see every campaign.

```
| Campaign Name | Type | Spend | Revenue | ROAS | Conv. | CPA | Status | Notes |
|--------------|------|-------|---------|------|-------|-----|--------|-------|
| ___ | Shopping | $___ | $___ | ___x | ___ | $___ | ___ | ___ |
| ___ | Search | $___ | $___ | ___x | ___ | $___ | ___ | ___ |
| (all campaigns) | | | | | | | | |
| **TOTAL** | | **$___** | **$___** | **___x** | **___** | **$___** | | |
```

**Status Key**: SCALING (increasing budget), STABLE (maintaining), TESTING (new/experimental), WINDING DOWN (decreasing), PAUSED

---

### Section 5: Testing Summary (0.5-1 page)

Show clients you're actively experimenting, not just watching dashboards.

```
ACTIVE TESTS:
| Test | Hypothesis | Start Date | Status | Result (if complete) |
|------|-----------|-----------|--------|---------------------|
| ___ | ___ | ___ | Running / Complete / Inconclusive | ___ |

COMPLETED TESTS THIS MONTH:
| Test | Winner | Impact | Next Step |
|------|--------|--------|-----------|
| ___ | ___ | ___ | ___ |

PLANNED TESTS NEXT MONTH:
1. [Test with hypothesis]
2. [Test with hypothesis]
```

**Narrative Guide**: Frame tests as smart resource allocation, not uncertainty. "We tested 3 landing page variants because top-performing brands test 10x more than average. Variant B increased conversion rate by 12%. We're now rolling this out across all campaigns."

---

### Section 6: Competitive Landscape (0.5 page)

```
AUCTION INSIGHTS SUMMARY:
| Competitor | Impression Share | Overlap Rate | Change vs Last Month |
|-----------|-----------------|-------------|---------------------|
| ___ | ___% | ___% | +/-___ pts |
| ___ | ___% | ___% | +/-___ pts |
| ___ | ___% | ___% | +/-___ pts |

Notable changes:
- [Any new competitors entering]
- [Any competitors increasing/decreasing activity]
- [Your position relative to top competitor]
```

---

### Section 7: Budget and Pacing (0.5 page)

```
BUDGET SUMMARY:
| Category | Allocated | Spent | Remaining | Pacing |
|----------|----------|-------|-----------|--------|
| Total | $___ | $___ | $___ | ON/OVER/UNDER |

NEXT MONTH RECOMMENDATION:
| Category | Current Budget | Recommended | Change | Rationale |
|----------|---------------|-------------|--------|-----------|
| ___ | $___ | $___ | +/-___% | ___ |
```

---

### Section 8: Action Items (0.5 page)

End with clear next steps. Never end a report without this.

```
ACTION ITEMS:
| # | Action | Owner | Deadline | Priority |
|---|--------|-------|----------|----------|
| 1 | ___ | Agency/Client | ___ | HIGH/MED/LOW |
| 2 | ___ | Agency/Client | ___ | HIGH/MED/LOW |
| 3 | ___ | Agency/Client | ___ | HIGH/MED/LOW |

ITEMS REQUIRING CLIENT INPUT:
- [Decision or approval needed]
- [Assets or information needed]
```

---

## Report Delivery Protocol

| Step | Timing | Action |
|------|--------|--------|
| 1 | By the 5th of the month | Report draft completed |
| 2 | By the 7th | Internal review by account lead |
| 3 | By the 8th | Report sent to client |
| 4 | Within 3 days of send | Walk-through call (don't just email and pray) |

**Critical rule**: Never send a report without offering to walk through it. The report is the artifact. The conversation is where retention happens.

---

**Reference**: Module 5 (Monthly Reporting SOPs), The Agency Google Ads SOP System


# Bonus 4: QBR Deck Template

**Standalone Value**: $197
**Purpose**: A slide-by-slide Quarterly Business Review structure that keeps clients engaged, highlights your value, and opens budget/upsell conversations naturally. Based on the QBR protocol that took one agency's churn from 25% annually to 8%.

**Note**: Build this in Google Slides, PowerPoint, or Keynote. The structure and talking points are what matter - not the design. A clear, well-organized deck beats a pretty but empty one every time.

---

## Why This Matters

We watched a 20-client agency lose 2-3 clients per quarter. Performance was fine. Campaigns were delivering. But clients felt "in the dark." No formal quarterly check-in. No strategy refresh. No forward-looking conversation.

After implementing a structured QBR: churn dropped to 8% annually and average client lifetime extended from 8 months to 18 months. That's 4 retained clients worth $12,000/month in preserved revenue from a meeting that takes 2 hours to prepare and 45 minutes to deliver.

The math is simple. QBRs are the highest-ROI activity in your agency.

---

## QBR Timing and Logistics

**When to run QBRs**:
- Every 90 days from the start of the engagement (not calendar quarters)
- First QBR at 90 days is the most critical - this is when most churn decisions happen
- Schedule 2-3 weeks before contract renewal dates

**Who should attend**:
- Your side: Account Lead + Account Manager (no more than 3 people from your team)
- Client side: Decision maker + marketing lead (push for the person who signs checks)

**Duration**: 45-60 minutes. Respect their time. If you can't say it in an hour, you're not prepared.

---

## The 14-Slide QBR Deck

### Slide 1: Title Slide

```
QUARTERLY BUSINESS REVIEW
[Client Name]
[Quarter] [Year] (e.g., Q1 2026)
[Date of Presentation]

[Your Agency Logo]
```

**Talking points**: None. This is your 15 seconds while everyone settles in.

---

### Slide 2: Agenda

```
TODAY'S AGENDA

1. Quarter in Review (10 min)
2. Channel Deep Dive (10 min)
3. What We Learned (5 min)
4. Competitive Landscape (5 min)
5. Next Quarter Strategy (10 min)
6. Budget Recommendation (5 min)
7. Discussion + Q A (15 min)
```

**Talking points**: "Here's what we'll cover today. I want to make sure we leave time for discussion at the end, so I'll keep the presentation tight."

---

### Slide 3: Quarter Performance Summary

```
Q[X] PERFORMANCE SNAPSHOT

| Metric      | Q[X] Result | Q[X-1] Result | QoQ Change | Annual Target | Pacing |
|------------|-------------|---------------|-----------|---------------|--------|
| Revenue    | $___        | $___          | +/-___%   | $___          | ON/OFF |
| Ad Spend   | $___        | $___          | +/-___%   | $___          | ON/OFF |
| ROAS       | ___x        | ___x          | +/-___%   | ___x          | ON/OFF |
| CPA        | $___        | $___          | +/-___%   | $___          | ON/OFF |
| New Cust.  | ___         | ___           | +/-___%   | ___           | ON/OFF |

HEADLINE: [One sentence - what defined this quarter]
```

**Talking points**: Lead with the headline. Don't walk through every number - they can read. Hit the 2-3 metrics that matter most to THIS client. Some care about ROAS. Some care about revenue. Some care about new customer acquisition. Know your audience.

---

### Slide 4: Monthly Trend (Visual)

```
[Line chart showing monthly performance over the quarter]

X-axis: Month 1, Month 2, Month 3
Y-axis: Revenue + ROAS (dual axis)

Key callouts:
- [Month where strategy shift happened]
- [Month where external factor impacted]
- [Month that outperformed]
```

**Talking points**: "Here's how the quarter played out month by month. You can see [Month 2] is where our [campaign/test/expansion] kicked in, and the trajectory shifted from there."

---

### Slide 5: Wins and Highlights

```
TOP WINS THIS QUARTER

1. [Win with specific number and context]
   Impact: $___/month in additional revenue

2. [Win with specific number and context]
   Impact: ___% improvement in [metric]

3. [Win with specific number and context]
   Impact: $___ saved / gained
```

**Talking points**: This is your value slide. Be specific. "We restructured Shopping into tiered segments and recovered $4,200/month that was going to low-performing products." Don't be shy about highlighting your work. If you don't tell them what you did, they assume the account runs itself.

---

### Slide 6: Challenges and How We Addressed Them

```
CHALLENGES THIS QUARTER

1. [Challenge]: [What happened]
   Our response: [What you did]
   Result: [Outcome]

2. [Challenge]: [What happened]
   Our response: [What you did]
   Result: [Outcome or ongoing plan]
```

**Talking points**: Proactive transparency. If you hide challenges and the client finds out later, trust evaporates. If you present them with your response, trust deepens. The framing matters: "We identified X, we responded with Y, the result was Z."

---

### Slide 7-8: Channel Performance (2 slides)

```
CHANNEL PERFORMANCE - Q[X]

[Slide 7: Visual - stacked bar chart or pie showing spend allocation by channel]

[Slide 8: Table]
| Channel      | Spend  | Revenue | ROAS | Conversions | QoQ Change |
|-------------|--------|---------|------|-------------|-----------|
| Shopping     | $___   | $___    | ___x | ___         | +/-___%   |
| Branded      | $___   | $___    | ___x | ___         | +/-___%   |
| Non-Branded  | $___   | $___    | ___x | ___         | +/-___%   |
| PMax         | $___   | $___    | ___x | ___         | +/-___%   |
| DemandGen    | $___   | $___    | ___x | ___         | +/-___%   |
| YouTube      | $___   | $___    | ___x | ___         | +/-___%   |
| **TOTAL**    | **$___** | **$___** | **___x** | **___** | |
```

**Talking points**: Focus on the story, not the table. "Shopping remains our core revenue driver at ___x ROAS. The growth this quarter came from non-branded, where we expanded into [keyword category] and it's already contributing $___/month."

---

### Slide 9: What We Learned

```
KEY LEARNINGS THIS QUARTER

1. [Learning]: [What the data showed]
   Implication: [What this means for strategy]

2. [Learning]: [What the data showed]
   Implication: [What this means for strategy]

3. [Learning]: [What the data showed]
   Implication: [What this means for strategy]
```

**Talking points**: This slide demonstrates strategic thinking. You're not just running ads - you're learning from data and evolving strategy. "We learned that [audience segment] converts at 2x the rate of our general audience. Next quarter, we're building campaigns specifically for this segment."

---

### Slide 10: Competitive Landscape

```
COMPETITIVE LANDSCAPE

Top 3 Competitors by Impression Share:
| Competitor   | Avg IS | Change vs Last Q | Notable Activity |
|-------------|--------|-----------------|-----------------|
| [Name]       | ___%   | +/-___ pts      | [What they're doing] |
| [Name]       | ___%   | +/-___ pts      | [What they're doing] |
| [Name]       | ___%   | +/-___ pts      | [What they're doing] |

Your Position:
- Overall Impression Share: ___%
- IS Lost to Budget: ___%
- IS Lost to Rank: ___%

Opportunity: [Where competitors are weak and you can capture share]
```

**Talking points**: Clients love competitive intel. It makes them feel informed and makes you look like you're watching the battlefield, not just their dashboard.

---

### Slide 11: Next Quarter Strategy

```
Q[X+1] STRATEGIC PRIORITIES

Priority 1: [Strategy with expected outcome]
- Tactics: [Specific actions]
- Timeline: [When]
- Expected impact: [Metric improvement]

Priority 2: [Strategy with expected outcome]
- Tactics: [Specific actions]
- Timeline: [When]
- Expected impact: [Metric improvement]

Priority 3: [Strategy with expected outcome]
- Tactics: [Specific actions]
- Timeline: [When]
- Expected impact: [Metric improvement]
```

**Talking points**: This is the forward-looking slide that keeps clients engaged. "Here's what we're planning for next quarter and why. Priority 1 is [X] because the data from this quarter showed [Y]." Always connect next quarter's plan to this quarter's learnings.

---

### Slide 12: Budget Recommendation

```
BUDGET RECOMMENDATION - Q[X+1]

| Channel      | Current Monthly | Recommended | Change | Rationale |
|-------------|----------------|------------|--------|-----------|
| Shopping     | $___           | $___       | +/-___% | ___       |
| Non-Branded  | $___           | $___       | +/-___% | ___       |
| PMax         | $___           | $___       | +/-___% | ___       |
| YouTube      | $___           | $___       | +/-___% | ___       |
| Testing      | $___           | $___       | +/-___% | ___       |
| **TOTAL**    | **$___/mo**    | **$___/mo** | +/-___% |           |

Conservative scenario (current budget): [Expected results]
Recommended scenario (+___%): [Expected results with reasoning]
Aggressive scenario (+___%): [Expected results with reasoning]
```

**Talking points**: Always present scenarios. Don't just ask for more money - show what different budget levels deliver. "At current budget, we project $___/month revenue. With a 20% increase allocated to non-branded, our models suggest $___/month - that's a ___x return on the incremental spend."

---

### Slide 13: Roadmap Timeline

```
Q[X+1] ROADMAP

Month 1: [Foundation actions]
- [Action 1]
- [Action 2]

Month 2: [Build actions]
- [Action 1]
- [Action 2]

Month 3: [Scale/optimize actions]
- [Action 1]
- [Action 2]
```

**Talking points**: Give them a visual timeline. People retain information better when they can see the sequence. "Month 1 we're laying the foundation with [X]. Month 2 we build on that with [Y]. By month 3, we're scaling what works."

---

### Slide 14: Discussion + Next Steps

```
LET'S DISCUSS

Questions we'd like your input on:
1. [Strategic question requiring client input]
2. [Budget or direction question]
3. [New opportunity to explore together]

Next steps:
- [Action item] - Owner: [Agency/Client] - By: [Date]
- [Action item] - Owner: [Agency/Client] - By: [Date]

Next QBR: [Date]
```

**Talking points**: End with questions that make the client feel involved in strategy. Not "do you have any questions?" but "we're deciding between X and Y for next quarter - what's your priority?" This is also where renewal conversations happen naturally. You've just shown 45 minutes of value. The renewal is implicit.

---

## The Renewal/Upsell Conversation

QBRs are where renewals happen. Not in awkward contract emails. Here's how to navigate it:

**If the contract is up for renewal within 60 days**:

After Slide 12 (budget recommendation), add:

"We wanted to flag that our current agreement comes up for renewal on [date]. Given what we've accomplished this quarter and the roadmap we've outlined, we'd love to continue the partnership. Is this a good time to discuss terms for the next period, or would you prefer a separate conversation?"

**If you're recommending a scope increase**:

"Based on the results we're seeing, there's a clear opportunity in [channel/strategy] that falls outside our current scope. We could add this for an additional $___/month. Want us to put together a formal proposal?"

**Key**: Never surprise a client with a price increase at a QBR. If fees are changing, give advance notice and let the QBR be where you justify the value.

---

## QBR Preparation Checklist

- [ ] Performance data compiled (last 90 days)
- [ ] Competitive landscape updated
- [ ] All test results documented
- [ ] Budget scenarios modeled
- [ ] Next quarter strategy drafted
- [ ] Deck reviewed by account lead
- [ ] Agenda sent to client 48 hours before meeting
- [ ] Calendar invite includes video link and attendee list
- [ ] Meeting notes template ready for real-time capture

---

**Reference**: Module 6 (Quarterly Business Review SOPs), The Agency Google Ads SOP System


# Bonus 5: Agency Pricing Calculator

**Standalone Value**: $147
**Purpose**: The decision framework for choosing your pricing model, calculating true margins, and knowing when to raise prices. Built from managing relationships across the $500/month to $25,000/month retainer spectrum, plus the pricing mistakes we've watched agencies make (and a few we made ourselves).

**Note**: This bonus document doubles as the working template. Fill in your numbers and the model tells you where you're leaving money on the table.

---

## Why This Matters

20% of US PPC agencies now use hybrid pricing models. The rest are stuck on percentage-of-spend or flat fee and wondering why their margins keep shrinking.

The pricing model you choose determines your ceiling. Pick wrong and you'll work harder as clients grow - earning less per hour even as you deliver more value. Pick right and your revenue scales with your results.

We've seen agencies running $50K/month accounts on $1,500 flat retainers. That's a 3% effective rate on a client that requires the same work as a $100K account. The math doesn't work. But nobody told them that when they set the price.

---

## Step 1: Pricing Model Decision Tree

Work through this sequence to find your model:

```
START: What type of clients do you primarily serve?

├── E-commerce (revenue-focused, trackable ROAS)
│   ├── Average client spend   $15K/month?
│   │   ├── YES → Hybrid Model (base fee + % of spend above threshold)
│   │   └── NO → Flat Fee (tiered by spend range)
│   │
│   └── Do clients scale spend significantly (2-3x) within 6 months?
│       ├── YES → % of Spend (you grow when they grow)
│       └── NO → Flat Fee (predictable for both sides)
│
├── Lead Gen (CPA-focused, variable close rates)
│   ├── Can you track revenue back to leads?
│   │   ├── YES → Hybrid Model (base fee + performance bonus)
│   │   └── NO → Flat Fee (don't tie your income to their sales team)
│   │
│   └── Average deal size   $5K?
│       ├── YES → % of Revenue generated (high value per conversion)
│       └── NO → Flat Fee (volume play, keep it simple)
│
└── Mixed / Multi-Service
    └── Flat Fee with clear scope definition (ALWAYS)
        Reason: Mixed scope = scope creep. Lock the deliverables.
```

---

## Step 2: Pricing Model Comparison

### Model A: Percentage of Ad Spend

**How it works**: You charge a percentage of the client's monthly ad spend.

| Spend Range | Typical % | Your Rate |
|------------|-----------|-----------|
| $1K-5K | 15-20% | ___% |
| $5K-15K | 10-15% | ___% |
| $15K-30K | 8-12% | ___% |
| $30K-75K | 6-10% | ___% |
| $75K-150K | 5-8% | ___% |
| $150K+ | 3-6% | ___% |

**Pros**: Revenue scales with client growth. Easy to explain. Industry standard.
**Cons**: Penalizes you when clients cut budget (even if performance is great). Clients with low spend but complex accounts get underpriced. Race-to-bottom pressure.

**When it works**: Clients who are actively scaling, ecommerce with clear ROAS, trust-based relationships.
**When it fails**: Clients with flat or declining spend, complex accounts with low budget, clients who feel "you make more when I spend more."

### Model B: Flat Fee (Tiered)

**How it works**: Fixed monthly fee based on scope/tier.

| Tier | Monthly Fee | What's Included | Max Spend |
|------|-----------|-----------------|-----------|
| Starter | $___/mo | ___ campaigns, weekly report, monthly call | $___/mo |
| Growth | $___/mo | ___ campaigns, weekly report + optimization, bi-weekly calls | $___/mo |
| Scale | $___/mo | Unlimited campaigns, daily monitoring, weekly calls, QBRs | $___/mo |
| Enterprise | $___/mo | Full service + strategy + creative + landing pages | Unlimited |

**Example pricing** (adjust to your market):

| Tier | Fee Range | Typical Spend Range |
|------|----------|-------------------|
| Starter | $1,000-2,500 | $1K-5K/mo |
| Growth | $2,500-5,000 | $5K-20K/mo |
| Scale | $5,000-10,000 | $20K-75K/mo |
| Enterprise | $10,000-25,000 | $75K+ |

**Pros**: Predictable revenue. Easy to scope. Clients know exactly what they're paying.
**Cons**: If client spend doubles, your fee stays flat (you're underpriced). Requires clear scope to prevent creep.

### Model C: Hybrid (Our Recommendation for Most Agencies)

**How it works**: Base management fee + percentage above a spend threshold.

```
HYBRID FORMULA:
Monthly Fee = Base Fee + (% x Ad Spend above Threshold)

Example:
Base Fee: $3,000
Threshold: $15,000 ad spend
Rate above threshold: 8%

Client spending $15K/mo: You earn $3,000
Client spending $30K/mo: You earn $3,000 + (8% x $15,000) = $4,200
Client spending $50K/mo: You earn $3,000 + (8% x $35,000) = $5,800
```

**Your Hybrid Calculator**:

| Input | Your Value |
|-------|-----------|
| Base fee | $___ |
| Spend threshold | $___ |
| % above threshold | ___% |
| Client current spend | $___ |
| **Your monthly fee** | **$___** |

**Pros**: You're compensated for complex low-spend accounts (base fee covers work). You benefit from scaling (% kicks in above threshold). Fair to both sides.
**Cons**: Slightly harder to explain. Requires contract clarity on thresholds.

---

## Step 3: Margin Calculator

Knowing your revenue means nothing without knowing your margin. Fill this in per client.

### Per-Client Profitability Worksheet

```
CLIENT: _______________

REVENUE:
Monthly retainer/fee:                    $___
Additional project fees (avg monthly):   $___
TOTAL MONTHLY REVENUE:                   $___

DIRECT COSTS (per client):
AM time: ___ hrs/week x $___/hr x 4.3 = $___
Specialist time: ___ hrs/week x $___/hr x 4.3 = $___
Strategist time: ___ hrs/month x $___/hr = $___
Tools (allocated share): $___
Reporting time: ___ hrs/month x $___/hr = $___
TOTAL DIRECT COSTS:                      $___

GROSS MARGIN:
Revenue - Direct Costs = $___
Gross Margin %: ____%

TARGET: 60-70% gross margin per client
```

**Margin Benchmarks**:

| Margin | Assessment | Action |
|--------|-----------|--------|
| 70%+ | Excellent. Client is highly profitable. | Maintain or invest in relationship |
| 60-70% | Healthy. Standard range for well-run accounts. | Monitor for scope creep |
| 50-60% | Warning. Margin is thin. | Review scope, raise price, or reduce hours |
| 40-50% | Danger. You're probably losing money after overhead. | Restructure pricing or scope within 30 days |
| Below 40% | Underwater. This client costs you money to serve. | Raise price, reduce scope, or part ways |

---

## Step 4: Client Lifetime Value Calculator

```
CLIENT LTV CALCULATION:

Average monthly revenue per client:       $___
Average client lifetime (months):         ___
Gross margin %:                          ___%

GROSS LTV = Monthly Revenue x Lifetime Months
GROSS LTV = $___

NET LTV = Gross LTV x Margin %
NET LTV = $___

ACQUISITION COST:
Sales time to close: ___ hours x $___/hr = $___
Proposal/audit cost: $___
TOTAL ACQUISITION COST: $___

LTV:CAC RATIO = Net LTV / Acquisition Cost
RATIO: ___x

TARGET: 5x minimum (you earn $5 for every $1 spent acquiring)
```

**Why this matters**: If your LTV:CAC ratio is below 3x, you're either acquiring clients too expensively, pricing too low, or churning too fast. The fix isn't always "charge more" - sometimes it's "keep clients longer" (see the QBR bonus) or "qualify better" (see Module 1).

---

## Step 5: When to Raise Prices

Don't guess. Use triggers.

### Price Increase Decision Framework

```
TRIGGER ASSESSMENT (check all that apply):

EFFICIENCY TRIGGERS:
[ ] Your effective hourly rate on this client is below $100/hr
[ ] Client's ad spend has grown 50%+ since pricing was set
[ ] You've added capabilities (new channels, landing pages, etc.)
[ ] Client's revenue from your work has grown significantly

MARKET TRIGGERS:
[ ] Your pricing is 20%+ below market for comparable service
[ ] You've raised prices for new clients but not existing ones
[ ] Industry benchmark rates have increased
[ ] Your team costs have increased (new hires, raises)

RELATIONSHIP TRIGGERS:
[ ] Client has been with you 12+ months (relationship proven)
[ ] Client's scope has expanded beyond original agreement
[ ] Client regularly requests out-of-scope work
[ ] Client has expressed high satisfaction/referrals

SCORING:
0-3 triggers: Not yet. Monitor quarterly.
4-6 triggers: Start the conversation within 60 days.
7+ triggers: Overdue. Raise prices at next renewal.
```

### How to Have the Conversation

**Timing**: At a QBR or contract renewal. Never out of the blue via email.

**Framework**:
1. Lead with results delivered (value anchoring)
2. Present scope evolution (what you're doing now vs original agreement)
3. Show market context (what comparable services cost)
4. Present new pricing with clear rationale
5. Give notice period (60-90 days for significant increases)

**Example language**: "When we started working together, you were spending $10K/month on ads. We've scaled that to $35K with a 4.2x ROAS. The scope of work has grown proportionally - we're now managing 12 campaigns across 4 channels versus the original 4 campaigns. We'd like to adjust our fee to reflect the current scope. Here's what we're proposing..."

**Typical increase ranges**:
- Annual inflation adjustment: 3-8%
- Scope expansion adjustment: 15-30%
- Market correction: 20-50%

**Never increase more than 30% at once** without adding visible new scope. Spread larger corrections across two increases 6 months apart.

---

## Portfolio Revenue Calculator

See your total agency revenue and margin at a glance:

| Client | Model | Monthly Fee | Direct Cost | Margin % | LTV (Net) |
|--------|-------|------------|-------------|----------|-----------|
| ___ | ___ | $___ | $___ | ___% | $___ |
| ___ | ___ | $___ | $___ | ___% | $___ |
| ___ | ___ | $___ | $___ | ___% | $___ |
| **TOTAL** | | **$___** | **$___** | **___% avg** | **$___** |

**Healthy portfolio profile**:
- No single client   25% of revenue (concentration risk)
- Average margin   60%
- Average LTV:CAC   5x
- Client count growing or stable

---

**Reference**: Module 1 (Client Acquisition SOPs) + Module 10 (Scaling SOPs), The Agency Google Ads SOP System


# Bonus 6: Client Health Score Dashboard

**Standalone Value**: $197
**Purpose**: A client relationship health scoring system built on the same scoring architecture we use in production (0-100 composite scores with weighted dimensions and health bands), adapted for agency client management. The production system scores feed and campaign health - this version scores the client relationship itself. Early warning indicators and action triggers per band. Know which clients are at risk before they send the "we need to talk" email.

**Note**: This bonus document doubles as the working template. Score each client monthly and track the trend. The pattern is more important than any single number.

---

## Why This Matters

Here's the stat that should keep every agency owner up at night: 73% of client churn comes from poor communication, not poor performance.

That means your best-performing accounts can still leave. And they do. Because nobody was watching the relationship health while everyone was watching the ROAS.

We built this scoring system because we needed to answer one question across 160+ accounts: "Which clients are we about to lose?" Turns out, the signals show up 60-90 days before the cancellation email. If you're watching for them.

---

## The 4-Dimension Health Score

Each client gets a composite score from 0-100, weighted across four dimensions:

| Dimension | Weight | What It Measures |
|-----------|--------|-----------------|
| **Performance** | 35% | Are we delivering results? |
| **Communication** | 25% | Is the relationship healthy? |
| **Scope** | 20% | Are we aligned on expectations? |
| **Growth Potential** | 20% | Is this client going somewhere? |

---

## Dimension 1: Performance Score (35% of total)

Score each metric relative to the client's agreed targets.

| Metric | Target | Actual | Status | Score |
|--------|--------|--------|--------|-------|
| Primary KPI (ROAS/CPA) | ___ | ___ | ___ | ___/25 |
| Secondary KPI | ___ | ___ | ___ | ___/15 |
| Budget pacing | 95-105% | ___% | ___ | ___/10 |
| Trend direction (3-month) | Improving | ___ | ___ | ___/15 |
| Test velocity (tests/quarter) | 3+ | ___ | ___ | ___/10 |
| Tracking health | GREEN | ___ | ___ | ___/10 |
| Feed health (ecom only) | 95+ approval | ___% | ___ | ___/10 |
| Competitive position (IS trend) | Stable/Improving | ___ | ___ | ___/5 |

**Scoring Guide**:

| Metric Status | Score Allocation |
|--------------|-----------------|
| Exceeding target by 20%+ | Full points |
| At target (+/- 10%) | 80% of points |
| Below target (10-25% miss) | 50% of points |
| Significantly below (25%+ miss) | 20% of points |
| No data / not tracked | 0 points |

**Performance Score**: ___/100

**Scaled to weight**: ___ x 0.35 = ___/35

---

## Dimension 2: Communication Score (25% of total)

This dimension catches what dashboards miss. Score each honestly.

| Indicator | Criteria | Score |
|-----------|----------|-------|
| Response time | You respond within SLA consistently | ___/15 |
| Client responsiveness | They respond to you within 48 hours | ___/15 |
| Meeting attendance | Client attends scheduled calls | ___/15 |
| Report engagement | Client reads/acknowledges reports | ___/10 |
| Feedback quality | Client gives specific, constructive feedback | ___/10 |
| Escalation frequency | Issues resolved at AM level (not escalated to founders) | ___/10 |
| Tone of communication | Positive, neutral, or tense | ___/15 |
| Proactive outreach | You initiate value-add comms (not just scheduled) | ___/10 |

**Scoring Guide**:

| Communication Health | Score Range |
|---------------------|------------|
| Active, engaged, collaborative | 80-100 |
| Responsive but minimal | 60-79 |
| Delayed responses, skipping meetings | 40-59 |
| Ghost-like behavior, one-word replies | 20-39 |
| Hostile or completely unresponsive | 0-19 |

**Warning Signs to Watch**:
- Client stops asking questions (they've stopped caring or they're talking to someone else)
- Response times increasing month over month
- Decision maker stops attending calls (delegated to someone junior)
- Feedback shifts from specific to vague ("it's fine" instead of "let's test X")

**Communication Score**: ___/100

**Scaled to weight**: ___ x 0.25 = ___/25

---

## Dimension 3: Scope Score (20% of total)

Scope misalignment is slow poison. You don't notice it until the margin is gone and the client is frustrated.

| Indicator | Criteria | Score |
|-----------|----------|-------|
| Scope clarity | Written scope exists and is current | ___/20 |
| Scope adherence | Work stays within defined boundaries | ___/20 |
| Change order discipline | Out-of-scope requests get documented | ___/15 |
| Client expectations | Realistic and aligned with what you deliver | ___/20 |
| Contract health | Terms are fair, renewal path is clear | ___/15 |
| Time tracking accuracy | Hours worked vs hours allocated within 20% | ___/10 |

**Scoring Guide**:

| Scope Health | Score Range |
|-------------|------------|
| Clean scope, no creep, mutual understanding | 80-100 |
| Minor scope drift, manageable | 60-79 |
| Noticeable creep, client expects more than agreed | 40-59 |
| Significant misalignment, you're doing 2x the scoped work | 20-39 |
| No scope document exists, everything is ad hoc | 0-19 |

**Red Flags**:
- Client regularly asks for work outside scope without acknowledging it
- Your team consistently spends 30%+ more hours than allocated
- "Can you just..." requests happening weekly
- The original scope document hasn't been reviewed in 6+ months

**Scope Score**: ___/100

**Scaled to weight**: ___ x 0.20 = ___/20

---

## Dimension 4: Growth Potential Score (20% of total)

Not every client needs to grow. But you need to know which ones can - and which ones are headed for decline.

| Indicator | Criteria | Score |
|-----------|----------|-------|
| Budget trajectory | Spend increasing, stable, or declining | ___/25 |
| Business health | Client's business is growing | ___/20 |
| Channel expansion opportunity | Untapped channels they should be on | ___/15 |
| Upsell receptivity | Open to new ideas, additional services | ___/15 |
| Strategic alignment | Their goals align with what you're best at | ___/15 |
| Referral potential | Likely to refer other clients | ___/10 |

**Scoring Guide**:

| Growth Health | Score Range |
|--------------|------------|
| Actively scaling, engaged in growth, big plans | 80-100 |
| Stable with occasional growth conversations | 60-79 |
| Flat, no growth discussions, maintenance mode | 40-59 |
| Declining spend, cutting budgets, uncertain future | 20-39 |
| Business in trouble, at risk of shutting down | 0-19 |

**Growth Potential Score**: ___/100

**Scaled to weight**: ___ x 0.20 = ___/20

---

## Composite Health Score Calculation

| Dimension | Raw Score (/100) | Weight | Weighted Score |
|-----------|-----------------|--------|---------------|
| Performance | ___ | x 0.35 | ___ |
| Communication | ___ | x 0.25 | ___ |
| Scope | ___ | x 0.20 | ___ |
| Growth Potential | ___ | x 0.20 | ___ |
| **COMPOSITE SCORE** | | | **___/100** |

---

## Health Score Bands

| Band | Score | Meaning | Action Required |
|------|-------|---------|----------------|
| **STRONG** | 80-100 | Healthy relationship, delivering value | Maintain cadence, explore growth opportunities |
| **STABLE** | 60-79 | Solid but watch for drift | Address lowest-scoring dimension proactively |
| **AT_RISK** | 40-59 | Multiple warning signs | Account lead review within 7 days, develop recovery plan |
| **CRITICAL** | 0-39 | Churn imminent | Founder-level intervention within 48 hours |

---

## Action Triggers by Score Band

### STRONG (80-100)
- [ ] Continue current cadence
- [ ] Explore upsell/expansion opportunities
- [ ] Request testimonial or case study permission
- [ ] Ask for referrals
- [ ] Invite to beta test new offerings

### STABLE (60-79)
- [ ] Identify the weakest dimension
- [ ] Build a 30-day improvement plan for that dimension
- [ ] Increase communication frequency by one touchpoint per week
- [ ] Schedule a strategy refresh call (even if QBR isn't due)
- [ ] Review scope document with client to confirm alignment

### AT_RISK (40-59)
- [ ] Account lead reviews all 4 dimensions within 7 days
- [ ] Direct conversation with client stakeholder (not email - call or in-person)
- [ ] Performance recovery plan if Performance   50
- [ ] Scope renegotiation if Scope   50
- [ ] Communication reset if Communication   50 (new cadence, new format, whatever it takes)
- [ ] Document the recovery plan and track weekly

### CRITICAL (0-39)
- [ ] Founder/partner personally contacts the client within 48 hours
- [ ] "Save the account" meeting scheduled (not a regular check-in - a dedicated session)
- [ ] If Performance is the issue: present turnaround plan with 30-day milestones
- [ ] If Communication is the issue: offer to change AM or communication structure
- [ ] If Scope is the issue: present options (rescope, reprice, or restructure)
- [ ] If Growth is the issue: have an honest conversation about fit
- [ ] Prepare for offboarding if recovery isn't viable (protect the relationship for referrals)

---

## Monthly Health Review Protocol

Run this on the first Monday of every month.

1. **Score every active client** (15-20 minutes per client)
2. **Sort by score** (lowest first)
3. **Compare to last month** (which direction is each client trending?)
4. **Flag any client that dropped 10+ points** (something changed - investigate)
5. **Flag any AT_RISK or CRITICAL clients** (immediate action required)
6. **Review with account leads** (30-minute team meeting to align on priorities)

### Portfolio Health Summary Template

| Client | This Month | Last Month | Trend | Band | Priority Action |
|--------|-----------|-----------|-------|------|----------------|
| ___ | ___ | ___ | UP/DOWN/FLAT | ___ | ___ |
| ___ | ___ | ___ | UP/DOWN/FLAT | ___ | ___ |
| ___ | ___ | ___ | UP/DOWN/FLAT | ___ | ___ |

**Portfolio Average**: ___/100
**Clients in STRONG**: ___
**Clients in STABLE**: ___
**Clients in AT_RISK**: ___
**Clients in CRITICAL**: ___

**Target**: 70%+ of clients in STRONG or STABLE. Zero clients in CRITICAL for more than 30 days (either recover or offboard).

---

## Early Warning System

These patterns predict churn 60-90 days out. If you see two or more on the same client, treat it as AT_RISK regardless of the composite score.

| Signal | What It Looks Like | Lead Time |
|--------|--------------------|-----------|
| Meeting skips | Client cancels 2+ consecutive calls | 60-90 days |
| Response decay | Response time increases by 2x+ over 30 days | 60-90 days |
| Budget cuts | Client reduces spend without external reason | 45-60 days |
| New stakeholder | New person introduced to "oversee" the account | 30-60 days |
| Audit request | Client asks for raw data or account audit access | 30-45 days |
| Tone shift | Communication becomes transactional or terse | 30-60 days |
| Competitor mention | Client mentions another agency or service | 15-30 days |
| Invoice questions | Client starts questioning fees or deliverables | 15-30 days |

---

**Reference**: Module 7 (Client Communication SOPs) + Module 10 (Scaling SOPs), The Agency Google Ads SOP System


# Bonus 7: Team Capacity Planner

**Standalone Value**: $147
**Purpose**: The capacity planning framework for knowing when to hire, how to distribute workload, and what each growth phase looks like. Built from watching agencies hit the ceiling at 6-8 clients and either burn out or break through. This is the playbook for breaking through.

**Note**: This bonus document doubles as the working template. Fill in your numbers and the model tells you where you are, where you're going, and what needs to happen to get there.

---

## Why This Matters

The capacity ceiling is real. Every agency hits it. The magic number is somewhere between 6-8 clients for a solo operator, 12-15 for a small team without systems, and functionally unlimited with the right structure.

We've seen the pattern dozens of times. Agency owner is managing 6 clients. Working 60+ hours a week. Can't take on another client without dropping quality. Can't hire because "nobody can do it the way I do." Revenue is stuck. The path from 6 clients to 20 clients isn't "work harder." It's "work differently."

One freelancer we worked with was stuck at 6 clients for 18 months. Implemented SOPs, hired one AM, trained them in 2 weeks. Scaled to 14 clients within 4 months. Revenue doubled. Hours worked went down.

The difference wasn't talent. It was structure.

---

## Role Definitions

Before you plan capacity, define what each role actually does.

### Account Manager (AM)

**Primary job**: Day-to-day client relationship and campaign execution.

| Responsibility | Time Allocation |
|---------------|----------------|
| Client communication | 25% |
| Campaign optimization | 35% |
| Reporting | 15% |
| Internal coordination | 10% |
| Admin/documentation | 15% |

**Typical capacity**: 4-8 clients depending on account complexity.

**Skills required**:
- Google Ads platform proficiency
- Client communication skills
- Basic data analysis
- Report writing
- Time management (this is the one that kills most AMs)

### Specialist

**Primary job**: Deep platform execution. The person who actually builds campaigns, writes ads, and optimizes bids.

| Responsibility | Time Allocation |
|---------------|----------------|
| Campaign building/restructuring | 30% |
| Bid management and optimization | 25% |
| Creative/ad copy | 15% |
| Feed management (ecom) | 15% |
| Technical implementation (tracking, etc.) | 15% |

**Typical capacity**: 6-12 clients (they don't manage relationships, so higher throughput).

**Skills required**:
- Advanced Google Ads technical skills
- Feed optimization (for ecommerce agencies)
- Conversion tracking setup
- Testing methodology

### Strategist / Account Lead

**Primary job**: Strategy, quality control, and high-level client relationships.

| Responsibility | Time Allocation |
|---------------|----------------|
| Strategy development | 30% |
| QBRs and strategic client calls | 20% |
| Team oversight and quality review | 25% |
| New business support (audits, proposals) | 15% |
| Training and development | 10% |

**Typical capacity**: Oversees 10-20 clients (through AMs, not directly managing).

**Skills required**:
- Deep platform expertise (8+ years)
- Cross-channel strategic thinking
- Client relationship management at senior level
- Team leadership
- Business development

---

## Client-to-AM Ratio by Complexity

Not all clients are equal. A $2K/month flat-fee client with one campaign is not the same workload as a $30K/month ecommerce account with Shopping, Search, PMax, YouTube, and weekly calls.

### Complexity Classification

| Complexity | Characteristics | Examples |
|-----------|----------------|---------|
| **Low** | 1-3 campaigns, monthly reporting,  $5K spend, single channel | Local business, simple lead gen |
| **Medium** | 4-8 campaigns, bi-weekly reporting, $5-15K spend, 2-3 channels | Growing ecommerce, multi-service lead gen |
| **High** | 8+ campaigns, weekly reporting, $15K+ spend, 3+ channels, active testing | Scaling ecommerce, multi-market, enterprise |

### Ratio Guidelines

| AM Level | Low Complexity | Medium Complexity | High Complexity |
|----------|---------------|-------------------|-----------------|
| Junior AM (0-2 years) | 6-8 clients | 4-5 clients | 2-3 clients |
| Mid-Level AM (2-4 years) | 8-10 clients | 5-7 clients | 3-5 clients |
| Senior AM (4+ years) | 10-12 clients | 7-9 clients | 5-7 clients |

**Overload signals** (your AM is carrying too many):
- Reports consistently delivered late
- Client emails not answered within SLA
- Optimization checks getting skipped
- AM working 50+ hours/week consistently
- Quality of work declining (reactive instead of proactive)
- AM stops doing proactive outreach and only responds to inbound

---

## Capacity Calculator

### Current State Assessment

Fill this in for your current team:

```
TEAM MEMBER 1:
Name: _______________
Role: AM / Specialist / Strategist
Current clients: ___
Client complexity breakdown: ___ Low, ___ Medium, ___ High
Weekly hours worked: ___
Capacity utilization: ___% (see formula below)

TEAM MEMBER 2:
Name: _______________
Role: AM / Specialist / Strategist
Current clients: ___
Client complexity breakdown: ___ Low, ___ Medium, ___ High
Weekly hours worked: ___
Capacity utilization: ___%

(repeat for all team members)
```

### Capacity Utilization Formula

```
CAPACITY UTILIZATION:

Step 1: Convert clients to "equivalent units"
- Low complexity client = 1.0 unit
- Medium complexity client = 1.8 units
- High complexity client = 3.0 units

Step 2: Calculate current load
Total units = (Low x 1.0) + (Medium x 1.8) + (High x 3.0)

Step 3: Calculate max capacity by role
Junior AM max: 8.0 units
Mid-Level AM max: 10.0 units
Senior AM max: 12.0 units
Specialist max: 12.0 units

Step 4: Utilization
Utilization = (Current units / Max units) x 100%
```

**Example**:
```
Mid-Level AM managing: 2 Low + 3 Medium + 1 High
Units: (2 x 1.0) + (3 x 1.8) + (1 x 3.0) = 2.0 + 5.4 + 3.0 = 10.4 units
Max: 10.0 units
Utilization: 104% (OVERLOADED - this AM needs relief)
```

### Utilization Targets

| Utilization | Status | Action |
|------------|--------|--------|
| Below 60% | Underutilized | Can take on 2-3 more clients or redeploy to projects |
| 60-80% | Healthy | Ideal operating range. Room for spikes and projects. |
| 80-90% | Near capacity | Start planning for next hire. Can take 1 more client. |
| 90-100% | At capacity | Stop taking new clients for this person. Hire now. |
| Above 100% | Overloaded | Quality is at risk. Redistribute or hire immediately. |

---

## When to Hire Decision Framework

```
HIRE TRIGGER ASSESSMENT:

WORKLOAD TRIGGERS (check all that apply):
[ ] 2+ team members above 85% utilization for 30+ days
[ ] You're turning away qualified leads due to capacity
[ ] Client quality is slipping (late reports, missed optimizations)
[ ] Your backlog of improvements keeps growing but never gets done
[ ] You (the owner) are still doing AM work instead of strategy/sales

FINANCIAL TRIGGERS:
[ ] Trailing 3-month revenue covers new hire cost with 20% buffer
[ ] Pipeline has 2+ likely closes that would require additional capacity
[ ] Current margin is above 55% across the portfolio
[ ] You can sustain the new hire for 3 months even if no new clients close

SCORING:
0-2 triggers: Not yet. Optimize current capacity first.
3-5 triggers: Start recruiting. You'll need someone within 60 days.
6+ triggers: You should have hired last month. Move immediately.
```

### What to Hire First

The hiring sequence matters. Get it wrong and you're paying someone to sit around or drowning in work you can't delegate.

| Agency Stage | Next Hire | Why |
|-------------|-----------|-----|
| Solo (1 person, 4-6 clients) | Junior/Mid AM | Free yourself from daily execution to focus on sales and strategy |
| Small team (2-3 people, 8-15 clients) | Specialist | Your AMs need execution support. Free them from campaign building. |
| Growing (4-6 people, 15-25 clients) | Second AM + Strategist | AMs are at capacity. You need an account lead to maintain quality. |
| Mid-size (7-10 people, 25-40 clients) | Operations/Project Manager | The operational overhead of managing the team is now a full-time job. |

---

## Growth Phase Playbook

### Phase 1: Freelancer (1 person, 1-6 clients)

```
YOU DO EVERYTHING:
- Sales
- Onboarding
- Campaign management
- Optimization
- Reporting
- Client communication

Ceiling: 6-8 clients (then you break)
Revenue range: $5K-$15K/month
Key risk: Your income stops when you stop working

TRANSITION TRIGGER: You're at 80%+ utilization and turning away work.
NEXT MOVE: Hire AM #1.
```

### Phase 2: Small Agency (2-4 people, 7-15 clients)

```
YOU:
- Sales and business development
- Strategy for key accounts
- QBRs for top-tier clients
- Team management
- Quality oversight

AM(S):
- Day-to-day client management
- Campaign optimization
- Reporting

Ceiling: 12-15 clients without SOPs, 20+ with SOPs
Revenue range: $15K-$40K/month
Key risk: Quality inconsistency (each AM does things differently)

TRANSITION TRIGGER: Quality varies by AM. You're spending 50%+ of time
on quality control instead of growth.
NEXT MOVE: Implement SOPs (that's what this product is for) + hire Specialist.
```

### Phase 3: Mid-Size Agency (5-10 people, 16-35 clients)

```
YOU:
- Business strategy
- Key account relationships
- Hiring and culture
- New business (reduced from Phase 2)

STRATEGIST/ACCOUNT LEAD:
- Oversees AM team
- Strategy development
- QBRs
- Quality assurance

AMs (3-5):
- Client management
- Execution oversight

SPECIALISTS (1-3):
- Campaign building
- Technical implementation
- Feed management

Ceiling: 30-40 clients
Revenue range: $40K-$100K/month
Key risk: Communication breakdowns between roles. Scope creep at scale.

TRANSITION TRIGGER: You need an ops/project manager because managing
the team is a full-time job on its own.
NEXT MOVE: Hire Ops Manager + define service tiers.
```

### Phase 4: Scale (10+ people, 35+ clients)

```
YOU:
- CEO / Business owner
- Partnership development
- Vision and direction

OPS MANAGER:
- Day-to-day operations
- Process improvement
- Resource allocation

STRATEGIST(S):
- Client strategy
- Team leadership
- Quality standards

AM TEAM:
- Client delivery

SPECIALIST TEAM:
- Execution engine

Ceiling: Limited by hiring speed and systems
Revenue range: $100K+/month
Key risk: Losing culture and quality. Growing for growth's sake.
```

---

## Workload Distribution Template

Use this weekly to ensure balanced team allocation:

| Client | Complexity | AM Assigned | AM Units Used | Specialist | Spec Units Used |
|--------|-----------|-------------|--------------|------------|----------------|
| ___ | L/M/H | ___ | ___ | ___ | ___ |
| ___ | L/M/H | ___ | ___ | ___ | ___ |
| ___ | L/M/H | ___ | ___ | ___ | ___ |
| **TOTAL** | | | **___** | | **___** |

| Team Member | Role | Current Units | Max Units | Utilization | Status |
|-------------|------|--------------|-----------|-------------|--------|
| ___ | ___ | ___ | ___ | ___% | ___ |
| ___ | ___ | ___ | ___ | ___% | ___ |
| ___ | ___ | ___ | ___ | ___% | ___ |

Review weekly. Redistribute when any team member crosses 90%.

---

## New Hire Ramp Timeline

With SOPs in place (from this product), here's the expected ramp:

| Milestone | Week | What They Should Be Doing |
|-----------|------|--------------------------|
| Orientation | 1 | SOP review, system access, shadowing |
| Assisted management | 2-3 | Managing 1-2 accounts with daily oversight |
| Independent management | 4-6 | Managing 3-4 accounts with weekly check-ins |
| Full capacity | 8-12 | Managing full client load with standard oversight |

**Without SOPs**: This takes 3 months and the quality is inconsistent.
**With SOPs**: 3 weeks to independent management. We've seen it work across multiple agencies.

---

**Reference**: Module 8 (Team Training SOPs) + Module 10 (Scaling SOPs), The Agency Google Ads SOP System


# Complete Template Vault: 100+ Templates From Every Module

**Bonus 1 | Standalone Value: $2,997**

---

## Why This Vault Exists

Every framework in the A.R.C. Method has a template behind it. A spreadsheet. A checklist. A scoring sheet. A dashboard. A document structure.

Templates turn knowledge into action. Without them, you know what to do but spend hours figuring out how to organize it. With them, you skip straight to execution.

This vault collects every template from every lower-tier product in the Tegra product line - plus new templates created specifically for the Operating System. Over 100 templates, organized by module, ready to use.

You could buy every individual product to collect these. That would cost $2,273+ and you'd still need to organize them yourself. Or you can use this vault - one index, one structure, everything in order.

---

## How to Use This Vault

1. Find the module you're working on
2. Locate the relevant template
3. Make a copy (don't edit the originals)
4. Follow the instructions embedded in each template
5. Save your completed version to your knowledge base

Every template includes:
- Purpose statement (what it's for)
- Instructions (how to fill it out)
- Example data (reference for formatting)
- Expected output (what you should have when done)

---

## Template Index by Module

### Phase 1: AUDIT

#### Module 1: Account Health Assessment
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 1 | 50-Point Audit Scorecard | Spreadsheet | Complete audit checklist with scoring by category (Tracking, Feed, Structure, Creative, Optimization) |
| 2 | Account Health Priority Matrix | Spreadsheet | Plots audit findings by impact vs effort for prioritization |
| 3 | Pre-Audit Data Pull Checklist | Document | Step-by-step guide for pulling all required data before the audit |
| 4 | Audit Results Summary | Document | Client-facing template for presenting audit findings |

#### Module 2: Conversion Tracking
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 5 | 5-Layer Tracking Audit | Spreadsheet | Each layer with pass/fail criteria and fix instructions |
| 6 | Conversion Action Inventory | Spreadsheet | Lists all conversion actions with status, type, and value settings |
| 7 | Tracking Discrepancy Calculator | Spreadsheet | Compares Google Ads, GA4, and Shopify numbers to calculate discrepancy percentage |
| 8 | Enhanced Conversions Verification | Checklist | Step-by-step verification for Enhanced Conversions implementation |
| 9 | Conversion Delay Analysis | Spreadsheet | Maps conversion lag by days to determine proper attribution window |

#### Module 3: Attribution Clarity
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 10 | C.L.A.R.I.T.Y. Protocol Worksheet | Document | Guided walkthrough of all 7 steps with fill-in sections |
| 11 | Attribution Model Comparison | Spreadsheet | Side-by-side comparison of Last Click, DDA, First Click, and Custom models |
| 12 | Source of Truth Dashboard Spec | Document | Specification template for building your attribution dashboard |
| 13 | Channel Overlap Matrix | Spreadsheet | Maps how channels interact and influence each other |

#### Module 4: Feed Optimization
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 14 | F.I.L.L. Protocol Checklist | Document | All 4 layers with completion criteria |
| 15 | Title Optimization Worksheet | Spreadsheet | Zone Architecture template with keyword research columns |
| 16 | Product Description Generator | Spreadsheet | Template for keyword-rich descriptions by product category |
| 17 | Image Audit Scorecard | Spreadsheet | Evaluates product images across 8 quality criteria |
| 18 | Attribute Completion Tracker | Spreadsheet | Tracks fill rate across all recommended Merchant Center attributes |
| 19 | GTIN Coverage Report | Spreadsheet | Identifies products missing GTINs with priority scoring |
| 20 | Feed Quality Score Calculator | Spreadsheet | Weighted scoring across title, description, image, and attribute quality |

#### Module 5: Feed Segmentation
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 21 | 7-Layer Angle Planner | Spreadsheet | Configuration for each segmentation layer with custom label assignments |
| 22 | 40-Variant Rule Calculator | Spreadsheet | Determines variant count and feed duplication strategy |
| 23 | Product Performance Tiers | Spreadsheet | Classifies products into Hero, Sidekick, Zombie, and Newcomer tiers |
| 24 | Custom Label Assignment Matrix | Spreadsheet | Maps business rules to custom label values |
| 25 | Feed Segmentation Validation | Checklist | Verifies correct product assignment across all segments |

### Phase 2: BUILD

#### Module 6: Campaign Architecture
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 26 | Four-Pocket Architecture Blueprint | Document | Complete structure with campaign names, settings, and targeting for all 4 pockets |
| 27 | Campaign Settings Checklist | Spreadsheet | Every setting per campaign type with recommended values |
| 28 | Budget Allocation Calculator | Spreadsheet | Distributes budget across pockets based on goals and historical data |
| 29 | Negative Keyword Starter Lists | Document | Pre-built lists: Universal, Brand Protection, Category-Specific |
| 30 | Audience Signal Library | Spreadsheet | Pre-built audience signals for PMax by industry vertical |

#### Module 7: Search Ad Excellence
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 31 | RSA Generation Spreadsheet (26 columns) | Spreadsheet | Master template for generating and scoring RSA components |
| 32 | 3-Rule Copy Filter Scorecard | Spreadsheet | Scores every headline/description against Visualizable, Falsifiable, Unique |
| 33 | Headline Angle Library | Document | 50+ headline templates organized by angle (benefit, pain, proof, curiosity) |
| 34 | Description Template Library | Document | 30+ description templates organized by CTA type |
| 35 | Ad Extension Planner | Spreadsheet | Plans sitelinks, callouts, structured snippets, and image extensions |
| 36 | RSA Performance Tracker | Spreadsheet | Tracks asset performance (Best, Good, Low) over time |

#### Module 8: PMax Asset Creation
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 37 | 8 DR Principles Checklist | Document | Each principle with application examples for PMax |
| 38 | Cooper Framework Creative Brief | Document | Template for briefing image creative using the Cooper method |
| 39 | PMax Asset Group Planner | Spreadsheet | Plans asset groups with headlines, descriptions, images, and audience signals |
| 40 | Emotional Copy Generator | Spreadsheet | Prompts for writing emotionally-driven ad copy using Masterson Depth |
| 41 | Asset Performance Tracker | Spreadsheet | Monitors asset-level performance across all PMax groups |
| 42 | Creative Testing Matrix | Spreadsheet | Plans and tracks creative A/B tests with hypothesis and results |

#### Module 9: Demand Gen Creative
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 43 | Emotional Truth Extraction Worksheet | Document | Guided process for extracting emotional truths from customer data |
| 44 | Masterson Depth Scoring Sheet | Spreadsheet | Scores creative concepts across 5 depth levels |
| 45 | Demand Gen Campaign Builder | Spreadsheet | Complete configuration for Demand Gen campaigns |
| 46 | Creative Brief Template (Video) | Document | Brief for producing 15-second and 30-second video ads |
| 47 | Creative Brief Template (Image) | Document | Brief for producing image ads across all required formats |
| 48 | Audience Signal Planner (Demand Gen) | Spreadsheet | Maps audience signals specific to awareness campaigns |

#### Module 10: Landing Page System
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 49 | 13 Page Types Reference | Document | Complete specifications for all 13 landing page types |
| 50 | Schwartz Awareness Level Mapper | Spreadsheet | Maps keywords to awareness levels to page types |
| 51 | Traffic Temperature Matrix | Spreadsheet | Classifies traffic sources by temperature and maps to page types |
| 52 | Landing Page Wireframe Templates | Document | Section-by-section wireframes for top 5 most-used page types |
| 53 | Advertorial Template | Document | Fill-in template for problem-solution advertorial pages |
| 54 | Comparison Page Template | Document | Fill-in template for vs/comparison landing pages |
| 55 | Landing Page Performance Tracker | Spreadsheet | Tracks CVR, bounce rate, and revenue by page |

### Phase 3: SCALE

#### Module 11: Competitive Intelligence
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 56 | 17-Phase Spy Protocol Tracker | Spreadsheet | Master tracker for all 17 phases with status and findings |
| 57 | Competitor Profile Sheet | Document | Per-competitor profile: ads, angles, tests, landing pages |
| 58 | 12-Angle Semantic Scoring Sheet | Spreadsheet | Scores competitor ads across all 12 messaging angles |
| 59 | Messaging Matrix Builder | Spreadsheet | Plots all competitors' angle distributions with market averages |
| 60 | Blue Ocean Scoring Calculator | Spreadsheet | Calculates 0-100 Blue Ocean score across 4 dimensions |
| 61 | Counter-Ad Framework Generator | Document | Templates for all 10 counter-ad patterns |
| 62 | A/B Test Detection Tracker | Spreadsheet | Documents detected competitor tests with winner analysis |
| 63 | Landing Page Intelligence Sheet | Spreadsheet | Extracts claims, trust signals, pricing, and proof from competitor pages |
| 64 | Competitive Monitoring Dashboard | Spreadsheet | Monthly tracking template for ongoing competitive monitoring |
| 65 | Auction Insights Tracker | Spreadsheet | Tracks impression share, overlap, position above over time |

#### Module 12: Offer Page Strategy
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 66 | Value Stack Builder | Spreadsheet | Calculates layer-by-layer value with total stack calculation |
| 67 | Pricing Architecture Planner | Spreadsheet | Good-better-best tier design with decoy analysis |
| 68 | Bundle Strategy Calculator | Spreadsheet | Bundle configuration with margin analysis and savings percentage |
| 69 | Offer Page Wireframe | Document | Section-by-section wireframe for high-ticket offer pages |
| 70 | Urgency/Scarcity Audit | Checklist | Validates legitimacy of urgency elements |

#### Module 13: Reporting System
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 71 | 5-Channel Dashboard Spec | Document | Complete specification for the unified dashboard |
| 72 | KPI Selection Matrix | Spreadsheet | Primary/secondary KPIs per channel with targets |
| 73 | Alert Configuration Template | Spreadsheet | Critical, warning, and weekly alert thresholds |
| 74 | Executive Summary Report | Document | Monthly client-facing report template |
| 75 | Funnel Performance Tracker | Spreadsheet | TOFU/MOFU/BOFU metrics tracker |
| 76 | Looker Studio Connection Guide | Document | Step-by-step for connecting data sources to Looker Studio |

#### Module 14: Optimization Protocol
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 77 | Weekly A.P.E.O. Checklist | Document | Complete weekly optimization checklist in order |
| 78 | Monthly T.I.T.S. Review Template | Document | Structured template for the monthly deep dive |
| 79 | Search Term Mining Spreadsheet | Spreadsheet | Three-view analysis (converting, non-converting, high-impression) |
| 80 | Negative Keyword Management Sheet | Spreadsheet | Universal, category, and performance negative lists |
| 81 | Ad Copy Rotation Tracker | Spreadsheet | Tracks CTR trends and refresh dates per ad group |
| 82 | Bid Adjustment Decision Tree | Document | If-then rules for when and how to adjust bids |
| 83 | Budget Reallocation Calculator | Spreadsheet | Monthly budget distribution based on channel performance |
| 84 | Landing Page Test Tracker | Spreadsheet | Hypothesis, variant, results, and statistical confidence |
| 85 | Test Hypothesis Log | Spreadsheet | Records all test hypotheses with predictions and outcomes |

#### Module 15: Scaling Framework
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 86 | F.S.S. Phase Gate Checklist | Document | All three phase gates with pass/fail criteria |
| 87 | Data Density Calculator | Spreadsheet | Calculates conversions/30 days per campaign with bidding recommendations |
| 88 | tROAS Offset Calculator | Spreadsheet | Sets optimal tROAS based on profitability target and data density |
| 89 | Budget Scaling Schedule | Spreadsheet | Weekly budget progression calculator (10-20% increases) |
| 90 | Scaling Roadmap Planner | Document | 30/60/90-day target template with phase gates |
| 91 | Market Expansion Scorecard | Spreadsheet | Evaluates new markets across 8 readiness criteria |
| 92 | Knowledge Base Template | Document | Five-section knowledge base with starter prompts |
| 93 | Team Readiness Assessment | Checklist | Evaluates whether your team can support higher spend |

### Cross-Module Templates
| # | Template | Format | Description |
|---|----------|--------|-------------|
| 94 | Account Onboarding Master Checklist | Document | Complete checklist for onboarding any new Google Ads account |
| 95 | Weekly Management Dashboard | Spreadsheet | One-page view of all critical metrics across all campaigns |
| 96 | Monthly Performance Report | Document | Comprehensive monthly report with all channels and recommendations |
| 97 | Quarterly Business Review | Document | QBR template with trends, goals, and strategic recommendations |
| 98 | Annual Planning Template | Spreadsheet | Budget planning, seasonal adjustments, and growth targets |
| 99 | Change Log | Spreadsheet | Records every account change with date, reason, and outcome |
| 100 | SOP Documentation Template | Document | Standard template for documenting any repeatable process |
| 101 | Client Handoff Package | Document | Everything needed to transition account management |
| 102 | Vendor Evaluation Scorecard | Spreadsheet | For evaluating agencies, tools, or contractors |

---

## Implementation Notes

**Start with your current module.** Don't try to fill every template at once. Work through the system day by day, and use the relevant templates as you go.

**Make copies first.** Keep the originals clean. Name your copies with your brand name and the date.

**Store completed templates in your knowledge base.** Every completed template is institutional knowledge. Organize them by module and date.

**Update quarterly.** Some templates (like competitive intelligence and performance tracking) need regular updates. Set calendar reminders.

---

**Complete Template Vault - The Google Ads Operating System**
**By Tegra | tegra.co**


# Unified AI Agent Access: The Google Ads Command Center

**Bonus 2 | Standalone Value: $4,997**

---

## Why AI Agents Change Everything

Every lower-tier product in the Tegra product line includes a specialized AI agent. Each one automates a specific piece of the Google Ads workflow.

Individually, they save hours. Together, they form an operating system.

The Google Ads Command Center unifies every agent into a single orchestration layer. Instead of running 8 separate tools, you run one system that coordinates all of them. It knows which agent to call, when, and what data to pass between them.

This isn't a chatbot. It's a system agent - a Level 3 AI agent that manages other agents on your behalf.

If you bought every individual product to access their agents separately, you'd spend $2,273+ and still need to integrate them yourself. The Command Center handles integration, sequencing, and data passing automatically.

---

## The Agent Ecosystem

### Individual Agents (From Lower-Tier Products)

| Agent | Source Product | What It Does |
|-------|--------------|--------------|
| **Account Health Auditor** | Google Ads Account Health Check ($47) | Runs the 50-point audit scorecard automatically. Pulls account data, scores each checkpoint, and generates a prioritized fix list. |
| **Tracking Diagnostic Agent** | Google Ads Tracking Audit Checklist ($47) | Walks through the 5-Layer Tracking Stack. Identifies discrepancies, duplicate conversions, and missing Enhanced Conversions. Generates fix instructions. |
| **Attribution Clarity Agent** | Attribution Clarity Blueprint ($197) | Implements the C.L.A.R.I.T.Y. Protocol. Compares data across GA4, Google Ads, and Shopify. Builds a reconciliation report. |
| **Feed Optimization Agent** | Shopping Feed Optimization Playbook ($197) | Applies the F.I.L.L. Protocol. Audits titles, images, descriptions, and attributes. Generates optimized title suggestions using Zone Architecture. |
| **RSA Generator Agent** | Search Ad Copy Playbook ($197) | Runs the Overgenerate-and-Score pipeline. Produces 25+ headline and description candidates, scores them against the 3-Rule Filter, and outputs the top performers. |
| **Competitor Analyzer Agent** | Competitor Intelligence Playbook ($197) | Automates the extraction, classification, and scoring phases of the 17-Phase Spy Protocol. Builds messaging matrices and counter-ad recommendations. |
| **Landing Page Optimizer Agent** | Landing Page Conversion Kit ($197) | Evaluates landing pages against the 13 page types. Scores conversion elements. Recommends improvements based on traffic temperature matching. |
| **Scaling Strategy Agent** | Google Ads Scaling Roadmap ($497) | Assesses phase gate readiness. Calculates data density thresholds. Generates budget scaling schedules and tROAS recommendations. |

### The Command Center (Operating System Exclusive)

The Command Center is the orchestration layer that connects all individual agents. It doesn't replace them - it coordinates them.

**What the Command Center does:**

1. **Workflow Sequencing**: Knows the A.R.C. Method order. Runs foundation audits before campaign optimization. Checks tracking before scaling.

2. **Data Passing**: Output from one agent becomes input for the next. The Feed Optimization Agent's title suggestions feed into the RSA Generator Agent's keyword research. The Competitor Analyzer's messaging gaps feed into the Landing Page Optimizer's positioning recommendations.

3. **Cross-Module Intelligence**: Spots patterns that individual agents miss. If tracking is broken AND feed quality is low AND campaigns are overspending - the Command Center prioritizes tracking first (because everything else depends on it).

4. **Status Tracking**: Maintains a real-time status of your account across all 15 modules. Shows which areas are green (optimized), yellow (needs attention), or red (broken).

5. **Recommendation Engine**: Based on current account status, recommends the highest-impact action to take next. Not a generic suggestion - a specific instruction tied to your data.

---

## How to Use the Command Center

### Initial Setup

1. Connect your Google Ads account (read-only access)
2. Connect your Merchant Center (for feed data)
3. Connect your analytics platform (GA4 or equivalent)
4. The Command Center runs a full baseline assessment across all 15 modules

The baseline assessment takes approximately 30 minutes. After completion, you'll have a score for every module and a prioritized action plan.

### Daily Usage

The Command Center surfaces the highest-priority items daily:
- Critical issues requiring immediate attention
- Optimization opportunities with estimated impact
- Competitive intelligence updates
- Performance anomaly alerts

### Weekly Workflow

Aligns with the Module 14 optimization protocol:
1. **Analyze**: Command Center pulls weekly performance data automatically
2. **Plan**: Suggests specific optimizations based on data changes
3. **Execute**: Generates the assets, copy, or configurations needed
4. **Opportunities**: Scans for new growth opportunities across all channels

### Monthly Review

Generates a comprehensive monthly report:
- Module-by-module health scores
- Performance trends across all 5 channels
- Competitive landscape changes
- Test results and recommendations
- Scaling readiness assessment

---

## Agent Interaction Model

### Solo Agent Mode
Call any individual agent directly for a specific task:
- "Run a feed audit on my top 100 products"
- "Generate RSA variations for my prospecting campaigns"
- "Analyze my top 3 competitors' messaging"

### Orchestrated Mode
Let the Command Center coordinate a multi-agent workflow:
- "Run a complete Day 1 audit" (triggers Account Health + Tracking + Attribution + Feed agents in sequence)
- "Prepare me for scaling" (triggers Phase Gate assessment + Data Density check + Budget calculation)
- "Weekly optimization" (triggers performance analysis + search term mining + competitive check)

### Custom Workflows
Build your own agent sequences for recurring tasks:
- Monday: Feed audit + Competitor check
- Wednesday: RSA performance review + New copy generation
- Friday: Weekly optimization protocol

---

## Integration Points

The Command Center connects to:
- **Google Ads API** (campaign data, performance metrics, auction insights)
- **Merchant Center API** (feed data, product diagnostics, store quality)
- **Google Analytics 4** (conversion data, attribution, audience data)
- **Google Ads Transparency Center** (competitor ad intelligence)

All connections are read-only by default. Write operations (like uploading new ads or adjusting bids) require explicit confirmation.

---

## The Technical Specification

A detailed agent specification document (agent-spec.md) accompanies this bonus. It includes:
- System architecture for each agent
- Input/output specifications
- Data flow diagrams between agents
- API requirements and rate limits
- Custom workflow configuration syntax
- Error handling and fallback procedures

The agent-spec.md is designed for technical implementation. If you're a developer or have a technical team, use it to customize or extend the Command Center for your specific needs.

---

## Why This Matters

The average Google Ads manager spends 10+ hours per week on tasks these agents handle in minutes.

Feed audits that take 2 hours become 5 minutes. Competitive analysis that takes a full day becomes 30 minutes. RSA generation that takes an afternoon becomes 10 minutes.

That's not just time savings. That's the difference between checking your account weekly and checking it daily. Between analyzing 3 competitors and analyzing 10. Between testing 3 headline variations and testing 25.

The Command Center doesn't replace your judgment. It removes the busywork so your judgment has better inputs, faster cycles, and broader coverage.

Every implementation participant gets full access. No recurring fees. No per-query limits. The agents are yours to use as much as you want.

---

**Unified AI Agent Access - The Google Ads Operating System**
**By Tegra | tegra.co**


# Team Implementation Guide: Run the Implementation for Your Team or Clients

**Bonus 3 | Standalone Value: $1,497**

---

## Who This Is For

You're an agency owner. Or a team lead. Or a consultant who wants to deliver this system to clients.

This guide gives you the complete session scripts for running the 3-day Google Ads Operating System with your own team or for paying clients. Every module has timing, talking points, exercise instructions, transition scripts, and Q A prompts.

You don't need to be a presentation expert. You need to follow the scripts.

---

## General Facilitation Guidelines

### Preparation Checklist (Before the Implementation)
- [ ] Participants have Google Ads account access (read + write)
- [ ] Participants have Merchant Center access
- [ ] Templates distributed (from Bonus 1: Template Vault)
- [ ] Participant Workbooks printed or digital (Bonus 4)
- [ ] Slide decks loaded (Bonus 5)
- [ ] Screen sharing capability (virtual) or projector (in-person)
- [ ] Breakout room capability (virtual) or table groups (in-person)
- [ ] Timer visible to all participants

### Time Management
Each day is approximately 6-7 hours of content with breaks. Stick to the timings. Going over on one module means cutting another.

| Block | Duration |
|-------|----------|
| Module content | 45-60 min |
| Implementation exercise | 20-30 min |
| Q A per module | 10-15 min |
| Breaks between modules | 10-15 min |
| Lunch | 45-60 min |

### Facilitation Style
- Lead with questions, not lectures. "What does your tracking show?" before explaining what it should show.
- Use participant accounts as live examples (with permission).
- Celebrate quick wins. When someone finds a tracking issue during the system, acknowledge it publicly.
- Keep energy high. The afternoon modules need more interactive elements.

---

## Phase 1: AUDIT (Foundation   Feed Mastery)

### Opening Session (30 minutes)

**Timing**: 9:00 - 9:30 AM

**Script**:
"Welcome to The Google Ads Operating System. Over the next three days, we're going to build something most brands never achieve - a complete Google Ads operating system.

We call it the A.R.C. Method. Audit, Rebuild, Command. Three phases. 15 modules. 15 deliverables. By the end of Day 3, you'll have a system that covers every link in the chain from tracking to scaling.

Today is Phase 1: AUDIT. We're going to audit the invisible infrastructure that determines whether the algorithm even has the right data to work with. This is the foundation. If this is broken, nothing we do in Day 2 or Day 3 matters.

Let's start."

**Icebreaker (10 minutes)**: Have each participant share: name, business, monthly Google Ads spend, and their single biggest frustration with Google Ads right now.

### Module 1: Account Health Assessment (90 minutes total)

**Content delivery (45 min) | Exercise (30 min) | Q A (15 min)**

**Key talking points:**
- The 50-Point Audit Scorecard - walk through each section
- Why auditing comes before any optimization
- Common findings: 70% of accounts have at least one critical issue
- Real example: Show an anonymized audit with scoring

**Exercise instructions:**
"Open your Google Ads account. Open the 50-Point Audit Scorecard template. You have 30 minutes to score your own account. Don't fix anything yet - just score. We need the full picture before we touch anything."

**Transition to Module 2:**
"Now you can see where you stand. Most of you found issues in tracking - that's the most common. That's exactly where we're going next."

### Module 2: Conversion Tracking Fix (90 minutes total)

**Key talking points:**
- The 5-Layer Tracking Stack
- Why nothing scales with broken data
- Five specific checks (single fire, accurate values, no duplicates, enhanced conversions, attribution window)
- How to fix each issue you find

**Exercise instructions:**
"Run through the 5-Layer Tracking Audit template on your account. For each layer, mark pass or fail. If you find a failure, document the fix needed. We're building your tracking fix list."

**Q A prompts:**
- "Who found duplicate conversion actions?" (Common - discuss impact)
- "What's the discrepancy between your Google Ads and Shopify numbers?" (Opens attribution discussion)
- "Has anyone implemented server-side tracking?" (Transition to Module 3)

### Module 3: Attribution Clarity (90 minutes total)

**Key talking points:**
- Why GA4, Google Ads, and Shopify show different numbers
- The C.L.A.R.I.T.Y. Protocol - all 7 steps
- Building a single source of truth
- When DDA needs 300+ conversions/month for reliability

**Exercise instructions:**
"Using the C.L.A.R.I.T.Y. Protocol worksheet, work through steps 1-4 right now. Pull your numbers from Google Ads, GA4, and your store platform. Calculate the discrepancy. We'll build the reconciliation in the next 15 minutes."

**Transition to Module 4:**
"Your data is clean. Your tracking is verified. Now we rebuild the feed - because your product feed IS your keyword list in Shopping."

### Lunch Break (45-60 minutes)

### Module 4: Feed Optimization (90 minutes total)

**Key talking points:**
- The F.I.L.L. Protocol - Feed, Images, Landing pages, Listings
- Zone Architecture for product titles
- Why every empty attribute is a missed sale
- GTIN impact: +30% impressions
- AI-ready feed optimization

**Exercise instructions:**
"Pick your top 10 products by revenue. Open the Title Optimization Worksheet. Rewrite the titles using Zone Architecture. We'll review 3-4 examples as a group."

**Group review (10 minutes):**
Select 3-4 participants to share their before/after titles. Provide live feedback. This is where the system becomes collaborative.

### Module 5: Feed Segmentation (90 minutes total)

**Key talking points:**
- 7-Layer Angle System
- The 40-Variant Rule for duplication testing
- Product tiers: Hero, Sidekick, Zombie, Newcomer
- Custom label strategy

**Exercise instructions:**
"Using the 7-Layer Angle Planner, design your segmentation strategy. Classify your top 20 products into performance tiers. Assign custom labels."

**Day 1 Closing (15 minutes):**
"You've completed 5 modules. You have clean tracking, optimized feed titles, and a segmentation strategy. Tomorrow we build campaigns, create ads, and design landing pages. Come prepared to create."

---

## Phase 2: BUILD (Campaigns   Creative)

### Day 2 Opening (15 minutes)

**Script:**
"Day 1 was about finding what's broken and fixing the foundation. Day 2 is about building. By end of today, you'll have a complete campaign architecture, ad copy library, and landing page system."

### Modules 6-10: Follow Same Structure

For each module:
1. Content delivery (45 min)
2. Implementation exercise (30 min)
3. Q A (15 min)

**Module 6 exercise focus:** Build the Four-Pocket Architecture for their account
**Module 7 exercise focus:** Generate and score RSA candidates
**Module 8 exercise focus:** Create PMax asset groups with emotional copy
**Module 9 exercise focus:** Build Demand Gen creative concepts
**Module 10 exercise focus:** Map landing page types to their traffic sources

---

## Phase 3: SCALE (Intelligence, Optimization   Scaling)

### Day 3 Opening (15 minutes)

**Script:**
"Day 1: Foundation. Day 2: Structure. Day 3 is what separates good accounts from dominant ones. Today we build the systems that make everything compound - competitive intelligence, reporting, optimization, and scaling."

### Modules 11-15: Follow Same Structure

**Module 11 exercise focus:** Run the 17-Phase Spy Protocol on top 3 competitors
**Module 12 exercise focus:** Design an offer page with Value Stack Psychology
**Module 13 exercise focus:** Build a unified reporting dashboard spec
**Module 14 exercise focus:** Create a weekly optimization SOP and run it live
**Module 15 exercise focus:** Build a scaling roadmap with phase gates

### Closing Session (30 minutes)

**Script:**
"Three days. 15 modules. 15 deliverables. You now have a complete Google Ads operating system.

The A.R.C. Method isn't something you learned. It's something you built. Every template is filled with YOUR data. Every framework is applied to YOUR account.

Your 30-Day Challenge starts Monday. Daily tasks, tied to each module. Follow it. The brands that implement in the first 30 days see results. The ones who wait, don't.

Questions? Comments? What's the single biggest thing you're implementing first?"

**Go-around:** Each participant shares their top priority action item. This creates accountability.

---

## Troubleshooting Common Facilitation Issues

| Issue | Solution |
|-------|----------|
| Participant doesn't have account access | Pair them with someone who does. They follow along and apply to their own account after. |
| Exercise takes longer than allocated | Call "pencils down" at time. Participants can finish during breaks or after. |
| Technical questions beyond scope | Park them on a visible list. Address during Q A or after the session. |
| Wide skill range in the room | Pair advanced with beginners. Advanced participants learn by teaching. |
| Energy drops after lunch | Start afternoon modules with an interactive element (poll, quick exercise, live account review). |

---

**Team Implementation Guide - The Google Ads Operating System**
**By Tegra | tegra.co**


# Participant Workbook: Every Exercise, Worksheet, and Checklist

**Bonus 4 | Standalone Value: $497**

---

## How to Use This Workbook

This workbook collects every exercise, worksheet, and implementation checklist from all 15 modules into one document. Print it or use it digitally - either way, fill it in as you work through the system.

Each section includes:
- **The exercise** with step-by-step instructions
- **Fill-in space** for your answers and data
- **Completion checkbox** to track your progress
- **Key reminders** from the module content

By the end of the system, this workbook becomes your implementation reference. Every decision you made, every number you calculated, every plan you built - all in one place.

---

## Phase 1: AUDIT

### Module 1: Account Health Assessment

**Exercise: Run the 50-Point Audit Scorecard**

Score your account across five categories. Mark each checkpoint as Pass (P) or Fail (F).

**Category 1: Tracking (10 points)**

| # | Checkpoint | P/F | Notes |
|---|-----------|-----|-------|
| 1 | Single fire per transaction | | |
| 2 | Conversion values match actual revenue | | |
| 3 | One purchase conversion action (no duplicates) | | |
| 4 | Enhanced Conversions enabled | | |
| 5 | Attribution window matches sales cycle | | |
| 6 | Google Tag verified in Tag Assistant | | |
| 7 | Server-side tracking implemented | | |
| 8 | Consent mode configured | | |
| 9 | Conversion delay analysis completed | | |
| 10 | Cross-device tracking enabled | | |

Category 1 Score: ___ / 10

**Category 2: Feed Quality (10 points)**

| # | Checkpoint | P/F | Notes |
|---|-----------|-----|-------|
| 11 | Product titles keyword-optimized | | |
| 12 | All required attributes populated | | |
| 13 | GTIN coverage 95%+ | | |
| 14 | Product images high-quality | | |
| 15 | Descriptions keyword-rich | | |
| 16 | Custom labels configured | | |
| 17 | Feed errors below 2% | | |
| 18 | Price accuracy 100% | | |
| 19 | Availability sync real-time | | |
| 20 | Product reviews enabled | | |

Category 2 Score: ___ / 10

**Category 3: Campaign Structure (10 points)**

| # | Checkpoint | P/F | Notes |
|---|-----------|-----|-------|
| 21 | Branded search separated | | |
| 22 | Prospecting search separated | | |
| 23 | Shopping campaigns structured | | |
| 24 | Brand negatives in prospecting | | |
| 25 | Match types separated by ad group | | |
| 26 | Ad groups tightly themed | | |
| 27 | Negative keyword lists maintained | | |
| 28 | Extensions fully configured | | |
| 29 | Audience signals applied | | |
| 30 | Customer lists uploaded | | |

Category 3 Score: ___ / 10

**Category 4: Creative   Landing Pages (10 points)**

| # | Checkpoint | P/F | Notes |
|---|-----------|-----|-------|
| 31 | RSAs with 10+ unique headlines | | |
| 32 | Ad copy passes 3-Rule Filter | | |
| 33 | PMax assets complete (all formats) | | |
| 34 | Landing pages match traffic temperature | | |
| 35 | Mobile experience optimized | | |
| 36 | Social proof displayed | | |
| 37 | CTAs clear and above fold | | |
| 38 | Page speed under 3 seconds | | |
| 39 | Trust signals visible | | |
| 40 | Multiple page types in use | | |

Category 4 Score: ___ / 10

**Category 5: Optimization   Scaling (10 points)**

| # | Checkpoint | P/F | Notes |
|---|-----------|-----|-------|
| 41 | Bidding strategy appropriate for data | | |
| 42 | tROAS set 20% below profitable target | | |
| 43 | Search terms reviewed weekly | | |
| 44 | Reporting dashboard exists | | |
| 45 | Competitive intelligence system | | |
| 46 | Budget allocation documented | | |
| 47 | Test pipeline active | | |
| 48 | Optimization SOP documented | | |
| 49 | Knowledge base maintained | | |
| 50 | Scaling phase gates defined | | |

Category 5 Score: ___ / 10

**Total Score: ___ / 50**

| Score | Rating | Action |
|-------|--------|--------|
| 40-50 | Strong | Fine-tune and scale |
| 30-39 | Good | Fix gaps then scale |
| 20-29 | Needs Work | Foundation fixes required before scaling |
| Under 20 | Critical | Stop spending until foundation is fixed |

**Top 5 Priority Fixes:**
1. _______________
2. _______________
3. _______________
4. _______________
5. _______________

- [ ] Module 1 Exercise Complete

---

### Module 2: Conversion Tracking Fix

**Exercise: Run the 5-Layer Tracking Audit**

**Layer 1: Foundation**
- Tag type: _______________
- Implementation method: _______________
- Pass/Fail: ___

**Layer 2: Tags**
- Google Ads tag fires correctly: ___
- GA4 tag fires correctly: ___
- Server-side container status: ___
- Pass/Fail: ___

**Layer 3: Conversion Actions**
- Number of purchase actions: ___
- Duplicate actions found: ___
- Conversion values accurate: ___
- Pass/Fail: ___

**Layer 4: Attribution**
- Attribution model: _______________
- Attribution window: _______________
- Matches sales cycle: ___
- Pass/Fail: ___

**Layer 5: Optimization Signals**
- Enhanced Conversions: ___
- Consent mode: ___
- Cross-device: ___
- Pass/Fail: ___

**Discrepancy Calculation:**
- Google Ads revenue (30 days): $___________
- Store platform revenue (30 days): $___________
- Discrepancy: ___%
- Target: Under 3%

**Fix List:**
1. _______________
2. _______________
3. _______________

- [ ] Module 2 Exercise Complete

---

### Module 3: Attribution Clarity

**Exercise: C.L.A.R.I.T.Y. Protocol Steps 1-4**

**Step 1 - Configure:** List all tracking platforms and their settings
- Platform 1: _______________
- Platform 2: _______________
- Platform 3: _______________

**Step 2 - Layer:** Document which platform tracks what
- Purchases tracked by: _______________
- Add-to-carts tracked by: _______________
- Page views tracked by: _______________

**Step 3 - Audit:** Pull numbers from each platform
- Google Ads conversions (30 days): ___
- GA4 conversions (30 days): ___
- Store platform orders (30 days): ___

**Step 4 - Reconcile:** Calculate discrepancies
- GA4 vs Store: ___%
- Google Ads vs Store: ___%
- Google Ads vs GA4: ___%

**Source of Truth Decision:**
Primary source for reporting: _______________
Reason: _______________

- [ ] Module 3 Exercise Complete

---

### Module 4: Feed Optimization

**Exercise: Title Optimization for Top 10 Products**

| # | Current Title | Optimized Title (Zone Architecture) |
|---|--------------|-------------------------------------|
| 1 | | |
| 2 | | |
| 3 | | |
| 4 | | |
| 5 | | |
| 6 | | |
| 7 | | |
| 8 | | |
| 9 | | |
| 10 | | |

**Attribute Completion Check:**
- Required attributes at 100%: ___
- Recommended attributes fill rate: ___%
- GTINs populated: ___%

- [ ] Module 4 Exercise Complete

---

### Module 5: Feed Segmentation

**Exercise: Design Your Segmentation Strategy**

**Layer assignments:**

| Layer | Criteria | Values | Custom Label |
|-------|----------|--------|-------------|
| 1 (Performance) | | | |
| 2 (Margin) | | | |
| 3 (Category) | | | |
| 4 (Price) | | | |
| 5 (Seasonality) | | | |
| 6 (Lifecycle) | | | |
| 7 (Custom) | | | |

**Product Tier Classification (Top 20 products):**

| Product | Revenue | Margin | Tier (Hero/Sidekick/Zombie/Newcomer) |
|---------|---------|--------|--------------------------------------|
| | | | |
| | | | |
| | | | |

- [ ] Module 5 Exercise Complete

---

## Phase 2: BUILD

### Module 6: Campaign Architecture

**Exercise: Build Your Four-Pocket Architecture**

| Pocket | Campaign Name | Bidding Strategy | Daily Budget | Target ROAS |
|--------|-------------|-----------------|-------------|-------------|
| 1: Branded Search | | | | |
| 2: Prospecting Search | | | | |
| 3: Branded Shopping | | | | |
| 4: Prospecting/PMax | | | | |

**Brand negative keywords list:**
_______________________________________________

- [ ] Module 6 Exercise Complete

### Module 7: Search Ad Excellence

**Exercise: Generate and Score RSA Candidates**

Write 15 headlines and 4 descriptions for your primary prospecting ad group.

**Headlines (score each 1-10 on 3-Rule Filter):**

| # | Headline | Visualizable | Falsifiable | Unique | Total |
|---|----------|-------------|------------|--------|-------|
| 1 | | | | | |
| 2 | | | | | |
| 3 | | | | | |
| 4 | | | | | |
| 5 | | | | | |

(Continue to 15)

**Top 5 scoring headlines to use:**
1. _______________
2. _______________
3. _______________
4. _______________
5. _______________

- [ ] Module 7 Exercise Complete

### Module 8-10: Continue in Same Format

(Exercises for PMax, Demand Gen, and Landing Pages follow the same fill-in structure)

- [ ] Module 8 Exercise Complete
- [ ] Module 9 Exercise Complete
- [ ] Module 10 Exercise Complete

---

## Phase 3: SCALE

### Module 11: Competitive Intelligence

**Exercise: 17-Phase Spy Protocol on Top 3 Competitors**

**Competitor 1:** _______________
- Active ad count: ___
- Evergreen ads (180+ days): ___
- Primary messaging angle: _______________
- Secondary angle: _______________
- Blue Ocean score: ___ / 100

**Competitor 2:** _______________
- Active ad count: ___
- Evergreen ads (180+ days): ___
- Primary messaging angle: _______________
- Secondary angle: _______________

**Competitor 3:** _______________
- Active ad count: ___
- Evergreen ads (180+ days): ___
- Primary messaging angle: _______________
- Secondary angle: _______________

**Your Blue Ocean Score:** ___ / 100
**Counter-ad headlines drafted:** ___

- [ ] Module 11 Exercise Complete

### Module 12: Offer Page Strategy

**Exercise: Design Your Offer Page**

**Value Stack:**

| Layer | Item | Standalone Value |
|-------|------|-----------------|
| Core Offer | | $ |
| Implementation Support | | $ |
| Speed Bonus | | $ |
| Risk Reversal | | - |
| Surprise Bonus | | $ |
| **Total Stack Value** | | **$** |

**Your Price:** $___________
**Anchor Multiple:** ___x

- [ ] Module 12 Exercise Complete

### Module 13-15: Continue in Same Format

- [ ] Module 13 Exercise Complete
- [ ] Module 14 Exercise Complete
- [ ] Module 15 Exercise Complete

---

## Implementation Completion

**Total Exercises Completed:** ___ / 15

**My Top 3 Implementation Priorities (Starting Monday):**
1. _______________
2. _______________
3. _______________

**My 30-Day Accountability Partner:** _______________

---

**Participant Workbook - The Google Ads Operating System**
**By Tegra | tegra.co**


# Slide Deck Outlines: 15 Module Presentations

**Bonus 5 | Standalone Value: $997**

---

## How to Use These Slide Decks

Each module has a presentation deck outline ready to build from. For each slide, you get:
- **Slide title** (what appears on the slide)
- **Key points** (bullet content for the slide)
- **Speaker notes** (what to say while showing this slide)
- **Visual suggestion** (recommended graphic, chart, or screenshot)

Build your slides in Google Slides, Keynote, or PowerPoint. Keep slides clean - minimal text, strong visuals. Let your speaking notes carry the detail.

### Design Guidelines
- Dark background, light text (easier on screens)
- One idea per slide
- Maximum 5 bullet points per slide
- Use screenshots and data visuals where possible
- Consistent brand colors throughout
- Module number visible on every slide

---

## Phase 1: AUDIT

### Module 1: Account Health Assessment (18 slides)

**Slide 1: Title Slide**
- Title: "Module 1: Account Health Assessment"
- Subtitle: "The 50-Point Audit Scorecard"
- Speaker notes: "Before we optimize anything, we need to know where we stand. This module gives you a systematic way to score every aspect of your Google Ads account."
- Visual: Module 1 title card with "AUDIT" phase indicator

**Slide 2: The Problem**
- Key points: "70% of accounts have at least one critical issue" / "Most brands don't know what they don't know"
- Speaker notes: "We've managed 160+ accounts. The pattern is consistent. Seven out of ten have something fundamentally broken. And the brands rarely know about it until someone shows them."
- Visual: Pie chart showing 70/30 split

**Slide 3: Why Audit First**
- Key points: "You can't fix what you can't see" / "Optimization without audit = guessing"
- Speaker notes: "Imagine a doctor prescribing medication without running tests. That's what most brands do with Google Ads. They skip the diagnosis and go straight to treatment."
- Visual: Diagnosis-then-treatment metaphor

**Slide 4-8: Five Audit Categories**
- One slide per category (Tracking, Feed, Structure, Creative, Optimization)
- Key points: Category checkpoints with pass/fail criteria
- Speaker notes: Walk through each checkpoint, explain what "pass" looks like
- Visual: Scorecard with checkmarks

**Slide 9-10: Scoring System**
- Key points: Score ranges (40-50 Strong, 30-39 Good, 20-29 Needs Work, Under 20 Critical)
- Speaker notes: "Your total score tells you where you are and what to prioritize."
- Visual: Color-coded score range bar

**Slide 11-15: Common Findings**
- One slide per most common issue (duplicate tracking, missing GTINs, brand terms in prospecting, etc.)
- Speaker notes: Real examples from audits (anonymized)
- Visual: Screenshot of actual issue (blurred if needed)

**Slide 16: Priority Matrix**
- Key points: Impact vs Effort for each finding
- Speaker notes: "Not all fixes are equal. We prioritize by impact times effort. High impact, low effort = do first."
- Visual: 2x2 matrix with example items plotted

**Slide 17: Exercise Introduction**
- Key points: "Run the 50-Point Audit on YOUR account" / "30 minutes" / "Score honestly"
- Speaker notes: "Open your accounts. Open the scorecard template. Score yourself. No fixing yet - just scoring. We need the full picture."
- Visual: Template preview

**Slide 18: Exercise Wrap-Up**
- Key points: "What did you find?" / Quick poll of scores
- Speaker notes: "Hands up if you scored under 30. That's normal. Now you know. And that's the whole point."
- Visual: Score distribution from typical implementation

### Module 2: Conversion Tracking Fix (16 slides)

**Slide 1: Title Slide**
- Title: "Module 2: Conversion Tracking Fix"
- Subtitle: "The 5-Layer Tracking Stack"

**Slide 2: Why This Module Matters**
- Key points: "Nothing scales with broken data" / "70% of accounts have tracking issues" / "$50K+ typical annual waste"
- Speaker notes: "This is the most impactful module. If you fix nothing else from this system, fix your tracking."
- Visual: Dollar amount visualization of wasted spend

**Slide 3-7: Five Layers**
- One slide per layer (Foundation, Tags, Conversion Actions, Attribution, Optimization Signals)
- Key points: What to check, how to check, what "pass" looks like
- Speaker notes: Step-by-step walkthrough with screenshots
- Visual: Screenshots of Google Ads interface for each check

**Slide 8: The 5% Rule**
- Key points: "Google Ads vs store platform revenue should match within 5%"
- Speaker notes: "Pull 30 days. Compare. If the gap is more than 5%, something is broken."
- Visual: Comparison table showing good vs bad discrepancy

**Slide 9-12: Common Tracking Issues**
- Duplicate conversion actions, incorrect values, missing Enhanced Conversions, wrong attribution window
- Speaker notes: How to diagnose and fix each
- Visual: Before/after screenshots

**Slide 13-14: Exercise**
- Instructions for running the 5-Layer audit
- Visual: Template walkthrough

**Slide 15-16: Case Study**
- Skincare brand: 82% to 97% tracking accuracy, $225,600 annual impact
- Visual: Before/after metrics

### Modules 3-5: Follow Same Structure
(14-18 slides each with title, problem, framework, practical application, exercise, case study)

---

## Phase 2: BUILD

### Module 6: Campaign Architecture (20 slides)

**Slide 1: Title Slide**
- "Module 6: Campaign Architecture"
- "The Four-Pocket System"

**Slide 2: The Structure Problem**
- "We can predict scalability in 5 minutes" / "Clear structure = scales. No structure = doesn't."
- Visual: Two account structures side by side (messy vs clean)

**Slide 3: The Four Pockets Overview**
- Branded Search, Prospecting Search, Branded Shopping, Prospecting Shopping/PMax
- Visual: Four-quadrant diagram

**Slide 4-7: One Slide Per Pocket**
- Purpose, economics, strategy, what to watch
- Speaker notes: Detailed walkthrough of each pocket with expected performance ranges
- Visual: Performance benchmark data per pocket

**Slide 8: How They Work Together**
- Funnel diagram showing prospecting feeding branded
- Speaker notes: "Prospecting pockets fill the top. Branded pockets capture the bottom. You need both."
- Visual: Funnel flow diagram

**Slide 9: Budget Allocation**
- Typical split: 60%+ prospecting for scaled accounts
- Speaker notes: "Brands stuck at $10-30K/mo are 80% branded. Brands at $300K+ are 60%+ prospecting."
- Visual: Budget allocation comparison chart

**Slide 10-15: Implementation Details**
- Campaign settings, negative keywords, audience signals, bidding starting points
- Visual: Screenshots of campaign setup

**Slide 16-17: Case Study**
- Fashion DTC: $21K to $336K/mo
- Visual: Revenue growth chart

**Slide 18-20: Exercise**
- Build the Four-Pocket Architecture for YOUR account
- Visual: Template walkthrough

### Modules 7-10: Follow Same Structure
(16-20 slides each)

---

## Phase 3: SCALE

### Module 11: Competitive Intelligence (22 slides)

**Slide 1: Title**
- "Module 11: Competitive Intelligence"
- "The 17-Phase Spy Protocol"

**Slide 2: The Intelligence Gap**
- "Most brands guess at what competitors are doing" / "That's not intelligence. That's gambling."
- Visual: Guessing vs systematic intelligence comparison

**Slide 3: Five Questions Test**
- The 5 questions your competitive analysis should answer
- Speaker notes: "If your current process doesn't answer all five, it's not a process."
- Visual: Checklist format

**Slide 4-8: Phases 1-8 (Discovery through Semantic Analysis)**
- Visual: Process flow with phase indicators

**Slide 9-10: The 12 Messaging Angles**
- All 12 angles with weights
- Visual: Weighted angle chart

**Slide 11-12: Messaging Matrix**
- Example matrix with Red Ocean/Blue Ocean zones highlighted
- Visual: Heat map of angle saturation

**Slide 13-14: Blue Ocean Scoring**
- 0-100 scale, four dimensions
- Visual: Score breakdown example

**Slide 15-17: Counter-Ad Strategy**
- Counter-positioning matrix
- 10 counter-ad patterns
- Visual: Their ad vs your counter-ad examples

**Slide 18: Case Study**
- Electronics brand: CPCs down 22%, impression share 38% to 61%
- Visual: Before/after metrics

**Slide 19-22: Exercise**
- Run the spy protocol on top 3 competitors
- Visual: Step-by-step with timing

### Modules 12-15: Follow Same Structure
(16-22 slides each)

---

## Closing Deck (12 slides)

**Slide 1: The Complete A.R.C. Method**
- All 15 modules mapped to the three phases
- Visual: Three-column layout

**Slide 2-4: Deliverables Recap**
- One slide per day showing completed deliverables
- Visual: Checklist with checkmarks

**Slide 5: The 30-Day Path Forward**
- Week-by-week implementation plan
- Visual: Calendar view

**Slide 6-8: Bonus Overview**
- Key bonuses that support implementation
- Visual: Bonus icons with value

**Slide 9-10: Success Stories**
- Case study highlights across all 6 case studies
- Visual: Results summary table

**Slide 11: What Separates Winners**
- "It's the system" - not budget, not competition, not the algorithm
- Visual: Simple text on dark background

**Slide 12: Thank You + Next Steps**
- CTA: Start the 30-Day Challenge
- Visual: Contact info, resources links

---

## Slide Count Summary

| Day | Module | Slides |
|-----|--------|--------|
| 1 | Opening + Module 1 | 22 |
| 1 | Module 2 | 16 |
| 1 | Module 3 | 16 |
| 1 | Module 4 | 18 |
| 1 | Module 5 | 16 |
| 2 | Module 6 | 20 |
| 2 | Module 7 | 18 |
| 2 | Module 8 | 16 |
| 2 | Module 9 | 16 |
| 2 | Module 10 | 18 |
| 3 | Module 11 | 22 |
| 3 | Module 12 | 18 |
| 3 | Module 13 | 18 |
| 3 | Module 14 | 18 |
| 3 | Module 15 | 20 |
| 3 | Closing | 12 |
| | **Total** | **~284** |

---

**Slide Deck Outlines - The Google Ads Operating System**
**By Tegra | tegra.co**


# The 152-Point Quality Scoring System

**Bonus 6 | Standalone Value: $997**

---

## What This System Does

Every module in the A.R.C. Method has measurable quality criteria. This document collects all 152 checkpoints into a single scoring system that tells you exactly how optimized your Google Ads account is.

Most brands have no idea where they stand. They know something feels off. They suspect they're leaving money on the table. But they can't quantify it.

This scoring system fixes that. A number. Objective. Comparable over time.

Run it quarterly. Watch the score climb. Every point correlates to better performance.

---

## Scoring Overview

| Day | Phase | Modules | Checkpoints | Max Points |
|-----|-------|---------|-------------|-----------|
| 1 | AUDIT | 1-5 | 62 | 62 |
| 2 | REBUILD | 6-10 | 52 | 52 |
| 3 | COMMAND | 11-15 | 38 | 38 |
| | **Total** | **15** | **152** | **152** |

### Score Interpretation

| Score | Percentage | Rating | What It Means |
|-------|-----------|--------|---------------|
| 130-152 | 85-100% | Dominant | Fully optimized. Focus on scaling. |
| 105-129 | 69-84% | Strong | Well-built. Address remaining gaps. |
| 76-104 | 50-68% | Developing | Core structure in place. Significant room for improvement. |
| 45-75 | 30-49% | Weak | Major gaps. Prioritize foundation fixes. |
| Under 45 | Under 30% | Critical | Don't scale. Fix fundamentals first. |

### Weighting by Impact

Not all points are equal. Some checkpoints have a 2x multiplier because they disproportionately affect performance.

- Standard checkpoint = 1 point
- Critical checkpoint (marked with *) = 2 points (counted once in the total, but failures here should be prioritized)

---

## Phase 1: AUDIT Phase (62 Checkpoints)

### Module 1: Account Health Assessment (10 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 1 | Account structure follows documented architecture | /1 | |
| 2* | No conflicting or duplicate conversion actions | /1 | |
| 3 | Campaign naming convention consistent | /1 | |
| 4 | Ad groups tightly themed (under 20 keywords each) | /1 | |
| 5 | Budget not limiting profitable campaigns | /1 | |
| 6 | No campaigns in "Eligible (limited)" status | /1 | |
| 7* | All active campaigns have an active conversion action | /1 | |
| 8 | Account-level settings reviewed (time zone, currency, auto-apply) | /1 | |
| 9 | Auto-apply recommendations disabled or reviewed | /1 | |
| 10 | Billing and payment methods current | /1 | |

**Module 1 Score: ___ / 10**

### Module 2: Conversion Tracking (14 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 11* | Single fire per transaction verified | /1 | |
| 12* | Conversion values match store revenue (under 5% discrepancy) | /1 | |
| 13* | Exactly one purchase conversion action (no duplicates) | /1 | |
| 14* | Enhanced Conversions enabled and verified | /1 | |
| 15 | Attribution window matches sales cycle | /1 | |
| 16 | Google Tag fires on all relevant pages | /1 | |
| 17 | Server-side tracking implemented | /1 | |
| 18 | Consent mode configured correctly | /1 | |
| 19 | Conversion delay analysis completed | /1 | |
| 20 | Cross-device tracking enabled | /1 | |
| 21 | Micro-conversions tracked (add-to-cart, begin checkout) | /1 | |
| 22 | Phone call tracking configured (if applicable) | /1 | |
| 23 | Offline conversion import setup (if applicable) | /1 | |
| 24 | Tag Assistant shows no errors | /1 | |

**Module 2 Score: ___ / 14**

### Module 3: Attribution Clarity (10 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 25* | Single source of truth identified and documented | /1 | |
| 26 | GA4 vs Google Ads discrepancy under 10% | /1 | |
| 27 | GA4 vs store platform discrepancy under 10% | /1 | |
| 28 | Attribution model selected with documented rationale | /1 | |
| 29 | Channel overlap understood and documented | /1 | |
| 30 | Conversion lag analysis completed | /1 | |
| 31 | DDA data sufficiency assessed (300+ conversions/month for reliability) | /1 | |
| 32 | Cross-channel attribution considered (Google + Meta + organic) | /1 | |
| 33 | Reporting reconciliation process documented | /1 | |
| 34 | Stakeholders aligned on attribution methodology | /1 | |

**Module 3 Score: ___ / 10**

### Module 4: Feed Optimization (16 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 35* | Product titles keyword-optimized using Zone Architecture | /1 | |
| 36* | GTIN coverage 95%+ | /1 | |
| 37* | All required attributes populated (100%) | /1 | |
| 38 | Recommended attributes 95%+ populated | /1 | |
| 39 | Product descriptions keyword-rich and unique | /1 | |
| 40 | Primary images high-quality white background | /1 | |
| 41 | Multiple images per product (3+ per product) | /1 | |
| 42 | Lifestyle images included for key products | /1 | |
| 43 | Price accuracy 100% (matches landing page) | /1 | |
| 44 | Availability sync real-time | /1 | |
| 45 | Product categories correctly mapped | /1 | |
| 46 | Product type hierarchy complete | /1 | |
| 47 | Feed errors below 2% | /1 | |
| 48 | Feed warnings addressed | /1 | |
| 49 | Product reviews enabled and displaying | /1 | |
| 50 | Seller ratings enabled | /1 | |

**Module 4 Score: ___ / 16**

### Module 5: Feed Segmentation (12 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 51* | Products segmented by performance tier | /1 | |
| 52 | Custom labels configured (at least 3 layers) | /1 | |
| 53 | Hero products identified and prioritized | /1 | |
| 54 | Zombie products identified with strategy (fix or exclude) | /1 | |
| 55 | Margin tiers defined in custom labels | /1 | |
| 56 | Seasonal segmentation configured | /1 | |
| 57 | New product handling process defined | /1 | |
| 58 | Feed duplication strategy evaluated | /1 | |
| 59 | Supplemental feed in use (if needed) | /1 | |
| 60 | Product exclusions documented | /1 | |
| 61 | Segmentation rules automated (not manual) | /1 | |
| 62 | Segmentation reviewed monthly | /1 | |

**Module 5 Score: ___ / 12**

**Day 1 Total: ___ / 62**

---

## Phase 2: BUILD Phase (52 Checkpoints)

### Module 6: Campaign Architecture (12 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 63* | Four-pocket structure implemented | /1 | |
| 64* | Brand terms negated in all prospecting campaigns | /1 | |
| 65 | Branded Search campaign active | /1 | |
| 66 | Prospecting Search campaign active | /1 | |
| 67 | Branded Shopping campaign active | /1 | |
| 68 | Prospecting Shopping/PMax active | /1 | |
| 69 | Budget allocation documented and intentional | /1 | |
| 70 | Customer lists uploaded and applied | /1 | |
| 71 | Customer exclusions active on prospecting | /1 | |
| 72 | Campaign settings optimized (network, location, schedule) | /1 | |
| 73 | At least 3 campaign types active | /1 | |
| 74 | Campaign goals aligned with business objectives | /1 | |

**Module 6 Score: ___ / 12**

### Module 7: Search Ad Excellence (12 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 75 | RSAs with 10+ unique headlines per ad group | /1 | |
| 76* | Ad copy passes 3-Rule Filter (Visualizable, Falsifiable, Unique) | /1 | |
| 77 | 4+ description variations per ad group | /1 | |
| 78 | Sitelinks configured (4-6 per campaign) | /1 | |
| 79 | Callout extensions active | /1 | |
| 80 | Structured snippets active | /1 | |
| 81 | Image extensions tested | /1 | |
| 82 | Match types separated by ad group | /1 | |
| 83 | Ad group themes tight (single intent per group) | /1 | |
| 84 | Volume threshold met (15K+ monthly searches per ad group) | /1 | |
| 85 | Ad copy testing active (2-3 variants per group) | /1 | |
| 86 | Top-performing ad assets identified and documented | /1 | |

**Module 7 Score: ___ / 12**

### Module 8: PMax Asset Creation (10 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 87 | PMax asset groups complete (all asset types populated) | /1 | |
| 88 | Headlines apply 8 DR Principles | /1 | |
| 89 | Descriptions use emotional copy (Cooper Framework) | /1 | |
| 90 | Images in all required formats (1:1, 1.91:1, 4:5) | /1 | |
| 91 | Audience signals applied (custom segments, lists, interests) | /1 | |
| 92 | Search themes configured | /1 | |
| 93 | Video assets included (if available) | /1 | |
| 94 | Asset performance monitored (Best/Good/Low ratings) | /1 | |
| 95 | Low-performing assets replaced within 30 days | /1 | |
| 96 | Multiple asset groups for different product categories | /1 | |

**Module 8 Score: ___ / 10**

### Module 9: Demand Gen Creative (8 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 97 | Demand Gen campaign active (if Phase 2 complete) | /1 | |
| 98 | Emotional Truth Extraction applied to creative | /1 | |
| 99 | Image ads in all required formats | /1 | |
| 100 | Headline variations (5+) | /1 | |
| 101 | Description variations (5+) | /1 | |
| 102 | Video ads included (15s minimum) | /1 | |
| 103 | Audience targeting appropriate for awareness | /1 | |
| 104 | Profitability timeline expectations set (Month 3+) | /1 | |

**Module 9 Score: ___ / 8**

### Module 10: Landing Page System (10 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 105* | Multiple landing page types in use (not just product pages) | /1 | |
| 106 | Traffic temperature matched to page type | /1 | |
| 107 | Schwartz awareness levels mapped to pages | /1 | |
| 108 | Advertorial pages live for informational traffic | /1 | |
| 109 | Social proof displayed on all pages | /1 | |
| 110 | Mobile experience optimized (sub-3s load) | /1 | |
| 111 | CTAs clear and above fold | /1 | |
| 112 | Trust signals visible | /1 | |
| 113 | Landing page performance tracked (CVR, bounce) | /1 | |
| 114 | A/B testing active on at least 1 page | /1 | |

**Module 10 Score: ___ / 10**

**Day 2 Total: ___ / 52**

---

## Phase 3: SCALE Phase (38 Checkpoints)

### Module 11: Competitive Intelligence (8 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 115 | Top 5 competitors identified and profiled | /1 | |
| 116 | Messaging matrix built and current (last 90 days) | /1 | |
| 117 | Blue Ocean score calculated | /1 | |
| 118 | Counter-positioning strategy documented | /1 | |
| 119 | Competitor monitoring cadence established | /1 | |
| 120 | Auction Insights reviewed monthly | /1 | |
| 121 | Competitor ad tests tracked | /1 | |
| 122 | Competitive intel feeds into ad copy strategy | /1 | |

**Module 11 Score: ___ / 8**

### Module 12: Offer Page Strategy (6 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 123 | Value stack architecture documented | /1 | |
| 124 | Pricing uses anchoring effectively | /1 | |
| 125 | Bundle strategy active (if applicable) | /1 | |
| 126 | Offer page follows 8-section layout | /1 | |
| 127 | Urgency elements legitimate (not fabricated) | /1 | |
| 128 | High-ticket conversion optimization applied | /1 | |

**Module 12 Score: ___ / 6**

### Module 13: Reporting System (8 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 129* | Unified reporting dashboard operational | /1 | |
| 130 | All 5 channels represented in reporting | /1 | |
| 131 | Funnel-stage breakdown available | /1 | |
| 132 | KPIs defined per channel with targets | /1 | |
| 133 | Automated alerts configured | /1 | |
| 134 | Client-facing reporting separate from internal | /1 | |
| 135 | Monthly reporting cadence established | /1 | |
| 136 | Year-over-year comparisons available | /1 | |

**Module 13 Score: ___ / 8**

### Module 14: Optimization Protocol (8 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 137* | Weekly optimization SOP documented and followed | /1 | |
| 138 | Search terms reviewed weekly | /1 | |
| 139 | Negative keyword lists maintained (3 types) | /1 | |
| 140 | Ad copy rotation active | /1 | |
| 141 | Monthly deep dive review scheduled | /1 | |
| 142 | Test hypothesis log maintained | /1 | |
| 143 | Bid adjustment triggers defined | /1 | |
| 144 | Budget reallocation reviewed monthly | /1 | |

**Module 14 Score: ___ / 8**

### Module 15: Scaling Framework (8 checkpoints)

| # | Checkpoint | Score | Notes |
|---|-----------|-------|-------|
| 145 | Phase gate status assessed | /1 | |
| 146 | Data density thresholds monitored per campaign | /1 | |
| 147* | tROAS set 20% below profitable target | /1 | |
| 148 | Budget scaling follows 10-20% weekly rule | /1 | |
| 149 | Scaling roadmap with 30/60/90-day targets | /1 | |
| 150 | Market expansion plan documented | /1 | |
| 151 | Knowledge base active and updated | /1 | |
| 152 | Team scaling plan (if applicable) | /1 | |

**Module 15 Score: ___ / 8**

**Day 3 Total: ___ / 38**

---

## Total Account Quality Score

| Phase | Score | Max |
|-------|-------|-----|
| Phase 1: AUDIT | ___ | 62 |
| Phase 2: BUILD | ___ | 52 |
| Phase 3: SCALE | ___ | 38 |
| **TOTAL** | **___** | **152** |

**Rating**: _______________

**Date assessed**: _______________

**Next assessment date**: _______________ (quarterly)

---

## Quarterly Tracking

| Quarter | AUDIT | REBUILD | COMMAND | Total | Rating |
|---------|-------|---------|---------|-------|--------|
| Q_ 20__ | /62 | /52 | /38 | /152 | |
| Q_ 20__ | /62 | /52 | /38 | /152 | |
| Q_ 20__ | /62 | /52 | /38 | /152 | |
| Q_ 20__ | /62 | /52 | /38 | /152 | |

---

**152-Point Quality Scoring System - The Google Ads Operating System**
**By Tegra | tegra.co**


# Knowledge Base Setup Guide: Building Institutional Google Ads Memory

**Bonus 7 | Standalone Value: $497**

---

## Why You Need a Knowledge Base

Every optimization you run teaches you something. Every test reveals what works and what doesn't. Every seasonal pattern, every competitive shift, every algorithm change - it's all intelligence.

Where does it go?

For most brands: someone's head. Maybe a Slack thread. Maybe nowhere.

When that person leaves (or goes on vacation, or just forgets), the knowledge leaves with them. The new person makes the same mistakes. Runs the same failed tests. Misses the same seasonal patterns.

A knowledge base is institutional memory for your Google Ads operation. Every lesson documented. Every decision recorded. Every pattern captured.

It takes 10 minutes per week to maintain. It saves hundreds of hours over a year.

---

## Knowledge Base Structure

Five sections. Each serves a different purpose. Together, they capture everything you need.

### Section 1: Account Decisions Log

This is the backbone. Every significant change to the account gets logged here.

**Template:**

| Date | Change Made | Why | Expected Outcome | Actual Outcome (30 days) | Learning |
|------|------------|-----|-----------------|-------------------------|---------|
| | | | | | |

**What counts as "significant":**
- Budget changes over 15%
- New campaign launches
- Bidding strategy changes
- Major negative keyword additions
- Landing page changes
- Feed structure changes
- Target ROAS adjustments

**What doesn't need logging:**
- Routine search term negatives (these go in the negative keyword list)
- Minor bid adjustments under 10%
- Standard ad rotation

**Example entry:**

| Date | Change | Why | Expected | Actual (30 days) | Learning |
|------|--------|-----|----------|-------------------|---------|
| 2026-02-15 | Dropped tROAS from 4.0x to 3.2x on prospecting PMax | Volume was choking at 4.0x target. Applying 20% below strategy from Module 15. | Volume increase 2-3x while maintaining 3.5-4.0x actual ROAS | Volume increased 2.8x. Actual ROAS: 3.7x. Profit up 94%. | The 20% offset works. Algorithm needs room to explore. Apply to all campaigns hitting target consistently. |

### Section 2: Test Results

Every test hypothesis with its result.

**Template:**

| Test ID | Date Started | Hypothesis | Duration | Result | Statistical Confidence | Learning | Action Taken |
|---------|-------------|-----------|----------|--------|----------------------|---------|-------------|
| | | | | | | | |

**Hypothesis format:**
"If we [action], then [metric] will [change] within [timeframe]."

**Result categories:**
- **Winner**: Hit or exceeded hypothesis target
- **Loser**: Missed hypothesis target
- **Inconclusive**: Not enough data or time to determine

**Example entry:**

| Test ID | Date | Hypothesis | Duration | Result | Confidence | Learning | Action |
|---------|------|-----------|----------|--------|-----------|---------|--------|
| T-023 | 2026-01-10 | If we add lifestyle images to top 20 Shopping products, CTR will increase 15% within 30 days | 35 days | Winner - CTR up 22% | 97% | Lifestyle images outperform white background for our category. Effect strongest on products over $50. | Rolled out to all products over $50. Added to feed SOP. |

### Section 3: Optimization Learnings

Account-specific patterns that emerge over time. Things that are true for YOUR account that might not be universal.

**Template:**

| Category | Learning | Evidence | Date Discovered | Still Valid? |
|----------|---------|----------|----------------|-------------|
| | | | | |

**Categories:**
- Bidding patterns (what tROAS settings work)
- Audience behavior (what segments convert)
- Creative performance (what ad styles work)
- Seasonal patterns (when things change)
- Product trends (what's hot, what's not)
- Technical learnings (platform quirks)

**Example entries:**

| Category | Learning | Evidence | Discovered | Valid? |
|----------|---------|----------|-----------|--------|
| Bidding | Our optimal tROAS for prospecting is 3.2x (target) which delivers 3.8-4.0x actual | 3 campaigns, 90 days of data | 2026-01-15 | Yes |
| Audience | Mobile users convert at 60% the rate of desktop but drive 70% of traffic | GA4 device report, 6-month average | 2026-02-01 | Yes |
| Seasonal | CPCs spike 40% in November but drop 25% in January - best time to test new campaigns | 2-year CPC data | 2026-01-05 | Yes |
| Creative | Questions in headlines outperform statements by 18% for our audience | RSA asset report, 6 months of testing | 2026-02-10 | Yes |

### Section 4: Competitive Findings

What you learn about competitors and how you've responded.

**Template:**

| Date | Competitor | Finding | Your Response | Result |
|------|-----------|---------|--------------|--------|
| | | | | |

**Example entries:**

| Date | Competitor | Finding | Response | Result |
|------|-----------|---------|----------|--------|
| 2026-01-20 | Brand X | Shifted 30% of messaging from price to quality - repositioning upmarket | Increased our price/value messaging on keywords where they compete. Built comparison landing page. | CTR up 15% on shared keywords. Won back 8% impression share. |
| 2026-02-05 | Brand Y | Launched YouTube ads for first time | Monitoring. No action needed yet. Will check again in 30 days. | Pending |

### Section 5: Seasonal Patterns

Month-by-month patterns specific to your business.

**Template:**

| Month | Revenue Pattern | CPC Pattern | CVR Pattern | Notes for Next Year |
|-------|---------------|-------------|-------------|-------------------|
| Jan | | | | |
| Feb | | | | |
| Mar | | | | |
| Apr | | | | |
| May | | | | |
| Jun | | | | |
| Jul | | | | |
| Aug | | | | |
| Sep | | | | |
| Oct | | | | |
| Nov | | | | |
| Dec | | | | |

**Fill this in as data accumulates.** After 12 months, you'll have a complete seasonal map. After 24 months, you can validate patterns.

---

## Implementation Guide

### Initial Setup (1 hour)

1. Create a Google Doc, Notion page, or whatever your team uses
2. Create the five sections with their templates
3. Populate Section 1 with any recent significant changes you remember
4. Populate Section 3 with any known account-specific learnings
5. Set a bookmark - you'll visit this weekly

### Weekly Maintenance (10 minutes)

During your Module 14 weekly optimization (the A.P.E.O. cycle):

1. Log any significant changes from this week to Section 1 (3 minutes)
2. Update any running tests in Section 2 (2 minutes)
3. Add any new learnings to Section 3 (2 minutes)
4. Note any competitive changes to Section 4 (2 minutes)
5. Flag seasonal observations to Section 5 (1 minute)

### Monthly Review (30 minutes)

During your Module 14 monthly deep dive:

1. Review all entries from the past month
2. Update "Actual Outcome" columns for changes that have had 30 days
3. Mark test results with final conclusions
4. Validate or invalidate learnings in Section 3
5. Summarize the month's key insights in a monthly notes section

### Quarterly Review (1 hour)

1. Review the full knowledge base
2. Archive entries older than 6 months that are no longer relevant
3. Update seasonal patterns (Section 5)
4. Identify the top 5 learnings from the quarter
5. Share with the team (if applicable)

---

## Making It Useful

A knowledge base only works if people use it. Three rules:

**Rule 1: Keep it simple.** Don't over-engineer the format. If it takes more than 2 minutes to log an entry, the system is too complex and you'll stop using it.

**Rule 2: Review before acting.** Before making a major change, check the knowledge base. Has this been tried before? What happened? What does the seasonal data say?

**Rule 3: Be honest.** Log failures. Log things that didn't work. The failures are often more valuable than the wins because they prevent repeated mistakes.

---

## For Teams

If you have multiple people managing accounts:

- Store the knowledge base in a shared location (Google Drive, Notion)
- Assign a "knowledge base owner" who reviews entries weekly
- New team members read the full knowledge base in their first week
- Include knowledge base updates in weekly team standups
- Require a knowledge base check before any change over 15% budget impact

The goal: no one on your team should ever make a change that contradicts something you already know. And no one should ever run a test that's already been run.

---

**Knowledge Base Setup Guide - The Google Ads Operating System**
**By Tegra | tegra.co**


# Monthly Optimization Calendar: 12 Months of Specific Tasks

**Bonus 8 | Standalone Value: $297**

---

## How This Calendar Works

This is a 12-month operational calendar with specific optimization tasks assigned to each week. It covers seasonal adjustments, testing cadence, review cycles, and reporting schedules.

The calendar assumes you've completed the system and implemented the core A.R.C. Method. It starts from "Month 1 post-implementation" and runs through a full year.

Each week has 2-3 specific tasks beyond your standard weekly A.P.E.O. optimization cycle (Module 14). These are the additional actions that keep your account evolving instead of stagnating.

---

## Month 1: Foundation Lock-In

Your first month is about cementing what you built in the system.

### Week 1
- [ ] Complete all Day 1 implementation (tracking fixes, feed optimization, segmentation)
- [ ] Verify conversion tracking discrepancy is under 3%
- [ ] Run first weekly A.P.E.O. cycle

### Week 2
- [ ] Launch Four-Pocket Architecture (all 4 campaigns live)
- [ ] Upload RSA library to Search campaigns
- [ ] Set up PMax with complete asset groups

### Week 3
- [ ] Activate reporting dashboard (Module 13)
- [ ] Configure all alert thresholds
- [ ] Run first search term mining pass

### Week 4
- [ ] First monthly T.I.T.S. deep dive review
- [ ] Document baseline metrics for every campaign
- [ ] Build first monthly negative keyword list update

---

## Month 2: Optimization Ramp

### Week 5
- [ ] Review campaign performance vs Day 1 baseline
- [ ] Identify campaigns approaching 50-conversion threshold
- [ ] First ad copy refresh (new variations in top 2 ad groups)

### Week 6
- [ ] Move qualifying campaigns to tROAS (20% below target)
- [ ] Run competitive intelligence refresh (Auction Insights)
- [ ] Test first alternative landing page format

### Week 7
- [ ] First feed audit since implementation (title performance, attribute gaps)
- [ ] Evaluate Demand Gen readiness
- [ ] Launch first test hypothesis for the month

### Week 8
- [ ] Monthly T.I.T.S. review
- [ ] Document Month 2 test results
- [ ] Update knowledge base with all learnings

---

## Month 3: Scale Preparation

### Week 9
- [ ] Phase Gate assessment (Foundation and Structure checklists)
- [ ] Identify top 3 competitor targets for competitor campaigns
- [ ] Build first comparison landing page

### Week 10
- [ ] Launch competitor campaigns (if Phase Gate 2 passed)
- [ ] First budget scaling pass (10-15% increase on top performers)
- [ ] Product performance review (Heroes vs Zombies)

### Week 11
- [ ] Launch Demand Gen (if creative assets ready and foundation solid)
- [ ] Run Blue Ocean scoring update
- [ ] Test new ad extension variations

### Week 12
- [ ] First quarterly review (see Bonus 12)
- [ ] Complete messaging matrix update
- [ ] Set Q2 targets based on Q1 data

---

## Month 4: Growth Acceleration

### Week 13
- [ ] Review Q1 performance and adjust annual targets
- [ ] Expand keyword coverage (search term mining for expansion)
- [ ] Build advertorial landing page for top informational keyword

### Week 14
- [ ] Launch informational search campaigns
- [ ] Budget reallocation based on Q1 channel performance
- [ ] Feed duplication test (if 200+ conversions/month)

### Week 15
- [ ] Creative refresh across PMax and Demand Gen
- [ ] Update competitor profiles with new intelligence
- [ ] Run 152-Point Quality Score assessment

### Week 16
- [ ] Monthly T.I.T.S. review
- [ ] Plan summer seasonal adjustments (if applicable)
- [ ] Knowledge base quarterly cleanup

---

## Month 5: Expansion

### Week 17
- [ ] Evaluate geographic expansion opportunities
- [ ] New product campaign evaluation (any products hitting threshold?)
- [ ] Ad copy update based on competitive counter-positioning

### Week 18
- [ ] Test new audience signals in PMax
- [ ] Review landing page CVR trends - plan A/B tests
- [ ] Budget scaling pass (if Phase Gate 3 passed)

### Week 19
- [ ] Launch geographic expansion test (if applicable)
- [ ] Build second comparison landing page (new competitor)
- [ ] Search term mining deep dive (90-day window)

### Week 20
- [ ] Monthly review
- [ ] Document expansion test results
- [ ] Update scaling roadmap

---

## Month 6: Mid-Year Optimization

### Week 21
- [ ] Mid-year comprehensive review
- [ ] Re-run 50-Point Audit Scorecard
- [ ] Compare to implementation baseline - measure improvement

### Week 22
- [ ] Feed optimization refresh (title strategy, new products)
- [ ] Competitive intelligence full refresh (17-Phase Protocol)
- [ ] Evaluate new campaign types (YouTube Shorts, etc.)

### Week 23
- [ ] Creative testing sprint (3 new creative concepts)
- [ ] Budget allocation review for H2
- [ ] Customer list refresh (upload new purchasers)

### Week 24
- [ ] Second quarterly review
- [ ] Set H2 targets
- [ ] Knowledge base update and cleanup

---

## Month 7: Pre-Peak Preparation

### Week 25
- [ ] Begin Q4 preparation (if e-commerce - seasonal business)
- [ ] Build Q4 promotional creative library
- [ ] Audit all landing pages for mobile performance

### Week 26
- [ ] Increase budgets proactively for fall ramp (if seasonal)
- [ ] Test new ad formats (image extensions, video extensions)
- [ ] Update negative keyword lists for seasonal terms

### Week 27
- [ ] Build Q4 promotional landing pages
- [ ] Set up Q4-specific campaign structure (if needed)
- [ ] Competitor pre-holiday intelligence gathering

### Week 28
- [ ] Monthly review
- [ ] Finalize Q4 strategy
- [ ] Pre-allocate Q4 budgets

---

## Month 8: Execution Push

### Week 29
- [ ] Launch any new Q4 campaigns
- [ ] Final pre-peak feed audit
- [ ] Creative refresh for fall

### Week 30
- [ ] Budget scaling for peak season ramp
- [ ] Monitor competitor holiday activity
- [ ] Test offer page elements (bundles, pricing)

### Week 31
- [ ] Landing page testing sprint
- [ ] Audience list refresh before peak
- [ ] Review and optimize all extensions

### Week 32
- [ ] Monthly review
- [ ] Confirm all systems operational for peak
- [ ] Document pre-peak baseline metrics

---

## Month 9: Peak Execution (Q4 for E-commerce)

### Week 33
- [ ] Peak season monitoring (daily checks)
- [ ] Real-time budget adjustments based on performance
- [ ] Competitor monitoring intensified

### Week 34
- [ ] Mid-season creative refresh
- [ ] Search term monitoring (new seasonal terms)
- [ ] Performance vs last year comparison

### Week 35
- [ ] BFCM preparation (if applicable)
- [ ] Pre-load budgets for peak days
- [ ] Final landing page checks

### Week 36
- [ ] Third quarterly review (or peak-season review)
- [ ] Document peak season learnings
- [ ] Plan post-peak strategy

---

## Month 10: Post-Peak Optimization

### Week 37
- [ ] Post-peak performance analysis
- [ ] Reduce budgets from peak levels (gradual, not sudden)
- [ ] Customer list update with holiday purchasers

### Week 38
- [ ] Remarketing to holiday customers
- [ ] Creative refresh for new year
- [ ] Feed cleanup (remove holiday-specific elements)

### Week 39
- [ ] Campaign structure review - any cleanup needed?
- [ ] New year planning begins
- [ ] Competitive landscape post-peak assessment

### Week 40
- [ ] Monthly review
- [ ] Start annual planning process
- [ ] Knowledge base annual update

---

## Month 11: Annual Planning

### Week 41
- [ ] Annual performance review
- [ ] Year-over-year comparison across all metrics
- [ ] Identify top 5 wins and top 5 learnings

### Week 42
- [ ] Full 152-Point Quality Score assessment
- [ ] Complete competitive intelligence refresh
- [ ] Budget planning for next year

### Week 43
- [ ] Test pipeline planning for next year
- [ ] Team training needs assessment
- [ ] Technology and tool evaluation

### Week 44
- [ ] Monthly review
- [ ] Draft annual plan
- [ ] Set Q1 targets for next year

---

## Month 12: Year-End and Reset

### Week 45
- [ ] Finalize annual plan
- [ ] Q1 campaign preparation
- [ ] Creative library refresh for new year

### Week 46
- [ ] Knowledge base comprehensive review
- [ ] Archive outdated entries
- [ ] Update seasonal patterns with full year data

### Week 47
- [ ] Pre-load Q1 budgets
- [ ] Final competitor assessment for the year
- [ ] Team alignment on Q1 priorities

### Week 48
- [ ] Fourth quarterly review
- [ ] Annual wrap-up document
- [ ] Celebrate wins. Learn from failures.

---

## Recurring Tasks (Every Week, Year-Round)

These happen every single week regardless of the calendar above:

- [ ] Weekly A.P.E.O. optimization cycle (90 minutes)
- [ ] Search terms review and negative keyword updates
- [ ] Alert monitoring and response
- [ ] Knowledge base entry update (10 minutes)

---

## Recurring Tasks (Every Month)

- [ ] Monthly T.I.T.S. deep dive review (2-3 hours)
- [ ] Budget reallocation assessment
- [ ] Customer list refresh
- [ ] Feed health check

---

**Monthly Optimization Calendar - The Google Ads Operating System**
**By Tegra | tegra.co**


# Team Training Materials: Onboard New Members in 3 Weeks

**Bonus 9 | Standalone Value: $997**

---

## The Training Problem

New Google Ads hires take 3-6 months to become productive. During that ramp period, they make expensive mistakes. Junior errors on a $50K+/month account can cost $5-10K before anyone notices.

This curriculum compresses onboarding to 3 weeks using the A.R.C. Method as the training framework. Instead of learning random skills in random order, new team members follow the same systematic path the system teaches - but adapted for training progression.

Each week builds on the last. Each day has specific assignments. Each skill has an assessment checkpoint.

By Week 3, they can run the weekly optimization protocol independently and manage accounts under supervision.

---

## Prerequisites

Before starting this curriculum, the trainee needs:
- Google Ads certification (basic understanding of the platform)
- Access to a training account (or supervised access to a live account)
- This implementation's content (all 15 modules) as reference material
- The Template Vault (Bonus 1) for hands-on exercises

---

## Week 1: Foundation (The AUDIT Phase)

### Day 1: Platform Orientation + Module 1

**Morning (3 hours):**
- Tour of the Google Ads interface (campaigns, ad groups, keywords, ads, settings)
- Tour of Google Merchant Center (products, diagnostics, performance)
- Tour of Google Analytics 4 (key reports for Google Ads analysis)

**Afternoon (3 hours):**
- Study Module 1: Account Health Assessment
- Run the 50-Point Audit Scorecard on the training account
- Document findings

**Assessment:** Trainee submits completed audit scorecard with commentary on each finding. Reviewer checks accuracy.

### Day 2: Conversion Tracking (Module 2)

**Morning:**
- Study Module 2: Conversion Tracking Fix
- Learn Google Tag Assistant
- Understand Enhanced Conversions

**Afternoon:**
- Run the 5-Layer Tracking Audit on the training account
- Compare Google Ads conversions vs GA4 vs store platform
- Calculate discrepancy percentages

**Assessment:** Trainee identifies all tracking issues in the training account and proposes fixes with rationale.

### Day 3: Attribution (Module 3)

**Morning:**
- Study Module 3: Attribution Clarity
- Learn C.L.A.R.I.T.Y. Protocol
- Understand different attribution models

**Afternoon:**
- Work through the C.L.A.R.I.T.Y. Protocol on the training account
- Build a source-of-truth recommendation
- Document attribution model rationale

**Assessment:** Trainee presents attribution recommendation with data backing. Must explain why they chose the model they did.

### Day 4: Feed Optimization (Module 4)

**Morning:**
- Study Module 4: Feed Optimization
- Learn the F.I.L.L. Protocol
- Understand Zone Architecture for titles

**Afternoon:**
- Audit the training account's product feed
- Rewrite titles for 20 products using Zone Architecture
- Check attribute completion rates

**Assessment:** Trainee's rewritten titles reviewed for keyword usage, structure, and Zone Architecture compliance.

### Day 5: Feed Segmentation (Module 5) + Week 1 Review

**Morning:**
- Study Module 5: Feed Segmentation
- Learn the 7-Layer System
- Understand product tiers (Hero/Sidekick/Zombie/Newcomer)

**Afternoon:**
- Design a segmentation strategy for the training account
- Classify products into tiers
- Week 1 review session with trainer

**Week 1 Assessment:**
- Written test: 20 questions covering Modules 1-5 concepts
- Practical: Complete audit package (scorecard + tracking report + attribution recommendation + feed plan + segmentation strategy)
- Pass threshold: 80% on written, all practical deliverables complete and accurate

---

## Week 2: Execution (The REBUILD Phase)

### Day 6: Campaign Architecture (Module 6)

**Morning:**
- Study Module 6: Campaign Architecture
- Learn the Four-Pocket system
- Understand branded vs prospecting segmentation

**Afternoon:**
- Build a Four-Pocket campaign plan for the training account
- Configure campaign settings (location, network, schedule, bidding)
- Set up negative keyword lists (brand terms in prospecting)

**Assessment:** Campaign plan reviewed for correct structure, settings, and negative keywords.

### Day 7: Search Ads (Module 7)

**Morning:**
- Study Module 7: Search Ad Excellence
- Learn the Overgenerate-and-Score pipeline
- Understand the 3-Rule Copy Filter

**Afternoon:**
- Generate 25+ headline candidates for a prospecting campaign
- Score each against the 3-Rule Filter
- Select top 15 for the campaign
- Write 4 description variations

**Assessment:** Headlines and descriptions reviewed for quality, 3-Rule compliance, and scoring accuracy.

### Day 8: PMax + Demand Gen (Modules 8-9)

**Morning:**
- Study Module 8: PMax Asset Creation
- Study Module 9: Demand Gen Creative
- Learn 8 DR Principles and Cooper Framework

**Afternoon:**
- Build a complete PMax asset group for the training account
- Create Demand Gen headline and description variations
- Apply Emotional Truth Extraction to creative concepts

**Assessment:** Asset group completeness and creative quality reviewed.

### Day 9: Landing Pages (Module 10)

**Morning:**
- Study Module 10: Landing Page System
- Learn the 13 page types
- Understand Schwartz Awareness Mapping

**Afternoon:**
- Map the training account's landing pages to page types
- Identify gaps (missing page types for active traffic)
- Write an advertorial page outline for one informational keyword

**Assessment:** Landing page audit and advertorial outline reviewed.

### Day 10: Week 2 Review + Campaign Launch Simulation

**Morning:**
- Full campaign launch simulation: walk through launching a new campaign from scratch
- Cover: structure, settings, keywords, ads, extensions, landing page, tracking verification

**Afternoon:**
- Week 2 review session with trainer
- Discuss campaign management philosophy

**Week 2 Assessment:**
- Written test: 20 questions covering Modules 6-10
- Practical: Complete campaign package (architecture + ads + PMax assets + landing page plan)
- Simulation: Launch a test campaign correctly in the training account
- Pass threshold: 80% on written, all practical deliverables complete

---

## Week 3: Optimization (The COMMAND Phase)

### Day 11: Competitive Intelligence (Module 11)

**Morning:**
- Study Module 11: Competitive Intelligence
- Learn the 17-Phase Spy Protocol
- Understand Blue Ocean Scoring

**Afternoon:**
- Run a competitive analysis on 3 competitors in the training account's market
- Build a messaging matrix
- Calculate Blue Ocean scores
- Draft counter-ad copy

**Assessment:** Competitive report reviewed for thoroughness and strategic quality.

### Day 12: Reporting + Offer Strategy (Modules 12-13)

**Morning:**
- Study Module 12: Offer Page Strategy
- Study Module 13: Reporting System
- Learn the 5-Channel Unified Dashboard

**Afternoon:**
- Build a reporting dashboard specification for the training account
- Define KPIs, targets, and alert thresholds per channel
- Review offer page principles

**Assessment:** Dashboard spec reviewed for completeness and appropriate KPI selection.

### Day 13: Optimization Protocol (Module 14)

**Morning:**
- Study Module 14: Optimization Protocol
- Learn the A.P.E.O. weekly cycle
- Learn the T.I.T.S. monthly review

**Afternoon:**
- Run a complete A.P.E.O. cycle on the training account
- Document findings, plans, executions, and opportunities
- Set up alert configurations

**Assessment:** Optimization pass reviewed for thoroughness and decision quality.

### Day 14: Scaling + Knowledge Base (Module 15)

**Morning:**
- Study Module 15: Scaling Framework
- Learn the F.S.S. Protocol
- Understand Data Density Thresholds

**Afternoon:**
- Assess the training account's phase gate status
- Build a scaling roadmap with 30/60/90-day targets
- Initialize the knowledge base with Week 3 learnings

**Assessment:** Scaling roadmap and phase gate assessment reviewed.

### Day 15: Final Assessment

**Full-day assessment:**

**Morning - Written Exam (90 minutes):**
- 50 questions covering all 15 modules
- Mix of multiple choice, short answer, and scenario-based questions
- Pass threshold: 80%

**Afternoon - Practical Exam (3 hours):**
- Given a new account they haven't seen before
- Task: Complete a mini-audit (Modules 1-3 focus areas), identify top 5 issues, propose a campaign plan, run competitive analysis on 1 competitor, and draft a weekly optimization protocol
- Reviewed by trainer for accuracy, thoroughness, and quality

**Final Review Session:**
- Discuss results
- Identify areas for continued development
- Assign first supervised account work

---

## Post-Training: Supervised Independence

### Weeks 4-6: Supervised Account Management
- Trainee runs weekly optimization on 1-2 accounts
- Trainer reviews all changes before execution
- Trainee presents monthly review to trainer
- Gradually reduce supervision as competence demonstrated

### Week 7+: Independent Management
- Trainee manages accounts independently
- Trainer available for complex decisions
- Monthly 1-on-1 review continues for first 3 months
- Knowledge base contributions expected weekly

---

## Trainer Notes

### Common Mistakes to Watch For
1. Moving to tROAS before 50-conversion threshold
2. Not adding brand negatives to prospecting campaigns
3. Evaluating Demand Gen on direct ROAS (should be blended)
4. Making multiple changes simultaneously (can't attribute results)
5. Checking performance daily instead of weekly (overreacting to noise)

### When to Extend Training
- Failed written assessment: Re-study and re-test within 3 days
- Failed practical assessment: Additional supervised practice, re-test in 1 week
- Multiple failures: Assess whether role is the right fit

### Training Materials Needed
- Access to training Google Ads account
- All 15 module content files
- Template Vault (Bonus 1)
- Participant Workbook (Bonus 4)
- This training guide

---

**Team Training Materials - The Google Ads Operating System**
**By Tegra | tegra.co**


# White-Label Report Templates: Brandable Client-Facing Reports

**Bonus 10 | Standalone Value: $497**

---

## For Agencies and Consultants

You manage Google Ads for clients. They want reports. Good reports build trust, justify fees, and keep clients for years. Bad reports get you fired.

These four report templates are designed for client communication. They're professional, clear, and focused on what clients actually care about: revenue, efficiency, and what you're doing next.

Each template is white-label - replace the branding with yours. Customize the sections for your specific reporting style. Use them as-is or adapt them.

---

## Template 1: Monthly Performance Report

### Purpose
Delivered monthly. Covers what happened, why, and what's planned next.

### Report Structure

**Page 1: Executive Summary**

[YOUR LOGO]

**Monthly Performance Report**
Client: [Client Name]
Period: [Month Year]
Prepared by: [Your Agency Name]

**Key Metrics at a Glance:**

| Metric | This Month | Last Month | Change | Target |
|--------|-----------|------------|--------|--------|
| Revenue | $ | $ | % | $ |
| Ad Spend | $ | $ | % | $ |
| ROAS | x | x | % | x |
| CPA | $ | $ | % | $ |
| Conversions | | | % | |
| Impression Share | % | % | +/- | % |

**Month Summary (3-4 sentences):**
[Summary of what happened and why. Keep it plain language. No jargon without explanation.]

---

**Page 2: Channel Performance**

**Channel 1: Branded Search**

| Metric | Value | vs Last Month | Status |
|--------|-------|--------------|--------|
| Revenue | $ | % | On Track / Watch / Action Needed |
| Spend | $ | % | |
| ROAS | x | % | |
| Impression Share | % | +/- | |

Key notes: [1-2 sentences about this channel's performance]

[Repeat for each active channel: Prospecting Search, Shopping, PMax, Demand Gen]

---

**Page 3: Top Performers and Underperformers**

**Top 5 Campaigns by Revenue:**

| Campaign | Revenue | ROAS | Spend | Action |
|----------|---------|------|-------|--------|
| | | | | Continue scaling |
| | | | | Continue scaling |
| | | | | Maintain |
| | | | | Maintain |
| | | | | Maintain |

**Bottom 5 Campaigns by ROAS:**

| Campaign | Revenue | ROAS | Spend | Action |
|----------|---------|------|-------|--------|
| | | | | Optimize |
| | | | | Optimize |
| | | | | Under review |
| | | | | Under review |
| | | | | Consider pausing |

---

**Page 4: Key Actions Taken**

This month we:
1. [Action] - [Result/Status]
2. [Action] - [Result/Status]
3. [Action] - [Result/Status]
4. [Action] - [Result/Status]
5. [Action] - [Result/Status]

---

**Page 5: Next Month Plan**

Priority actions for next month:
1. [Action] - [Expected impact]
2. [Action] - [Expected impact]
3. [Action] - [Expected impact]

Tests planned:
1. [Test hypothesis]
2. [Test hypothesis]

Budget recommendation:
[Keep current / Increase by X% / Redistribute from Y to Z]

---

## Template 2: Quarterly Review Deck

### Purpose
Deeper analysis. Covers 3-month trends, strategic assessment, and forward planning. Best presented live with discussion.

### Deck Structure (15 slides)

**Slide 1: Title**
Q[X] [Year] Quarterly Review
[Client Name] | [Agency Name]
[Date]

**Slide 2: Quarter at a Glance**
Four big numbers: Revenue, Spend, ROAS, Conversions
Quarter-over-quarter trend arrows

**Slide 3: Revenue Trend (12-month rolling)**
Line chart showing revenue by month for the past 12 months. Highlight the quarter being reviewed.

**Slide 4: Channel Mix**
Pie chart or stacked bar showing revenue by channel. How the mix has shifted vs last quarter.

**Slide 5-6: Channel Deep Dives**
One slide per major channel. Key metrics, trend lines, top campaigns.

**Slide 7: Goal vs Actual**
Table comparing start-of-quarter targets to actual results.

| Metric | Q[X] Target | Q[X] Actual | Variance | Notes |
|--------|------------|-------------|----------|-------|
| Revenue | $ | $ | % | |
| ROAS | x | x | +/- | |
| New Customers | | | % | |

**Slide 8: Key Wins**
Top 3 wins of the quarter with specific numbers.

**Slide 9: Key Learnings**
Top 3 things we learned (including what didn't work). Honest and specific.

**Slide 10: Competitive Landscape**
Impression share trends. Notable competitor moves. Positioning changes.

**Slide 11: Product Performance**
Top and bottom performing product categories. Seasonal patterns observed.

**Slide 12: Testing Summary**
Tests run this quarter, results, and decisions made.

**Slide 13: Next Quarter Strategy**
Strategic priorities for Q[X+1]. 3-5 key initiatives.

**Slide 14: Budget Recommendation**
Proposed Q[X+1] budget with rationale. Channel allocation.

**Slide 15: Discussion**
Open for questions and discussion.

---

## Template 3: Account Health Audit Report

### Purpose
Point-in-time assessment. Used for onboarding new clients, quarterly health checks, or when performance dips.

### Report Structure

**Page 1: Cover**

Account Health Audit
[Client Name]
Prepared by: [Agency Name]
Date: [Date]

Overall Health Score: [X] / 50
Rating: [Strong / Good / Needs Work / Critical]

---

**Page 2: Score Summary**

| Category | Score | Max | Status |
|----------|-------|-----|--------|
| Tracking   Data | /10 | 10 | |
| Feed Quality | /10 | 10 | |
| Campaign Structure | /10 | 10 | |
| Creative   Landing Pages | /10 | 10 | |
| Optimization   Scaling | /10 | 10 | |
| **Total** | **/50** | **50** | |

---

**Pages 3-7: Category Details (one page each)**

For each category:

**[Category Name]: [Score] / 10**

| # | Checkpoint | Status | Priority | Notes |
|---|-----------|--------|----------|-------|
| 1 | | Pass/Fail | High/Med/Low | |
| 2 | | Pass/Fail | | |

**Key findings:**
- [Finding 1]
- [Finding 2]

**Recommended fixes:**
1. [Fix] - Estimated impact: [High/Medium/Low]
2. [Fix] - Estimated impact: [High/Medium/Low]

---

**Page 8: Priority Action Plan**

| Priority | Action | Category | Estimated Impact | Timeline |
|----------|--------|----------|-----------------|----------|
| 1 | | | $ or % improvement | Week 1 |
| 2 | | | | Week 1-2 |
| 3 | | | | Week 2-3 |
| 4 | | | | Week 3-4 |
| 5 | | | | Month 2 |

**Estimated total impact of fixes: $[X]/month**

---

## Template 4: Competitive Analysis Brief

### Purpose
Summarizes competitive intelligence for client consumption. Focuses on strategic implications, not raw data.

### Brief Structure

**Page 1: Cover**

Competitive Analysis Brief
[Client Name] | [Industry/Category]
Prepared by: [Agency Name]
Date: [Date]

---

**Page 2: Competitive Landscape Overview**

| Competitor | Impression Share | Primary Angle | Threat Level |
|-----------|-----------------|---------------|-------------|
| [Comp A] | % | | High/Med/Low |
| [Comp B] | % | | |
| [Comp C] | % | | |
| [You] | % | | - |

**Market Summary (2-3 sentences):**
[High-level assessment of the competitive landscape]

---

**Page 3: Messaging Matrix**

| Angle | You | Comp A | Comp B | Comp C | Market Avg | Zone |
|-------|-----|--------|--------|--------|-----------|------|
| Price/Value | % | % | % | % | % | Red/Blue |
| Quality | % | % | % | % | % | |
| Social Proof | % | % | % | % | % | |

**Positioning Opportunities:**
1. [Blue Ocean opportunity with rationale]
2. [Counter-positioning opportunity]

---

**Page 4: Strategic Recommendations**

Based on this analysis, we recommend:

1. **Messaging shift**: [Specific recommendation with rationale]
2. **New campaign opportunity**: [Specific recommendation]
3. **Defensive action**: [If applicable]

**Expected impact of recommendations:**
- CPC reduction: [estimate]%
- Impression share gain: [estimate]%
- CTR improvement: [estimate]%

**Next competitive refresh**: [Date - typically quarterly]

---

## Usage Guidelines

### Customization Checklist
- [ ] Replace all [bracketed text] with actual data
- [ ] Add your agency logo and branding
- [ ] Adjust color scheme to match your brand
- [ ] Remove or add sections as needed for your client
- [ ] Review all recommendations for accuracy before sending

### Delivery Recommendations
- Monthly reports: Send via email with a 2-3 sentence summary
- Quarterly reviews: Present live (Zoom or in-person)
- Audit reports: Present live, then send document for reference
- Competitive briefs: Send with a "let's discuss" call-to-action

### What Clients Care About (Focus Here)
1. Revenue and ROAS (always lead with this)
2. What you did this month (justify your fees)
3. What you're doing next (show forward thinking)
4. How you compare to competitors (external context)

### What Clients Don't Care About (Minimize)
- Granular keyword-level data
- Technical platform updates
- Individual ad performance metrics
- Quality Score details

---

**White-Label Report Templates - The Google Ads Operating System**
**By Tegra | tegra.co**


# 30-Day Post-Implementation Challenge

**Bonus 11 | Standalone Value: $297**

---

## Why 30 Days Matters

You just spent 3 days building a complete Google Ads operating system. Every framework is documented. Every template is filled with your data. Every deliverable is completed.

Now the real work starts.

The implementations that change businesses aren't the ones with the best content. They're the ones where people actually implement what they learned. And implementation happens in the first 30 days or it doesn't happen at all.

This challenge gives you one specific task per day for 30 days. Each task is tied to a system module. Each builds on the previous day. By Day 30, everything you built in the system is live, tested, and producing results.

No task takes more than 60 minutes. Most take 30 minutes or less.

---

## How It Works

- One task per day
- Check it off when done
- If you miss a day, do two the next day (don't skip - the sequence matters)
- Log results in your knowledge base (Bonus 7)
- Share wins with your implementation cohort

---

## Week 1: Foundation Implementation (Days 1-7)

These tasks implement everything from Day 1 of the system.

### Day 1: Tracking Fixes
- [ ] Implement the #1 priority fix from your Module 2 tracking audit
- Expected time: 30-60 minutes
- Module reference: Module 2 - Conversion Tracking Fix
- Success metric: One tracking issue resolved

### Day 2: Tracking Verification
- [ ] Verify yesterday's fix is working (test purchase, check Tag Assistant)
- [ ] Run discrepancy check: Google Ads vs store platform
- Expected time: 20 minutes
- Success metric: Discrepancy under 5%

### Day 3: Attribution Setup
- [ ] Implement your attribution model decision from Module 3
- [ ] Set up your source-of-truth reporting view
- Expected time: 30 minutes
- Module reference: Module 3 - Attribution Clarity
- Success metric: Single source of truth defined and accessible

### Day 4: Feed Title Optimization (Part 1)
- [ ] Apply optimized titles to your top 25 products (from Module 4 exercise)
- Expected time: 45 minutes
- Module reference: Module 4 - Feed Optimization
- Success metric: 25 product titles updated using Zone Architecture

### Day 5: Feed Title Optimization (Part 2)
- [ ] Apply optimized titles to products #26-50
- [ ] Fix any attribute gaps flagged in your feed audit
- Expected time: 45 minutes
- Success metric: 50 total product titles updated

### Day 6: GTIN and Attribute Completion
- [ ] Add GTINs to all products that have them
- [ ] Fill any missing recommended attributes (color, size, material)
- Expected time: 30-60 minutes
- Module reference: Module 4 - Feed Optimization
- Success metric: GTIN coverage above 95%. Recommended attributes above 95%.

### Day 7: Feed Segmentation
- [ ] Apply custom label assignments from Module 5 exercise
- [ ] Verify product tiers are correctly assigned
- Expected time: 30 minutes
- Module reference: Module 5 - Feed Segmentation
- Success metric: Custom labels live in Merchant Center

**Week 1 Checkpoint:**
Your foundation should now be solid. Tracking is verified. Feed is optimized and segmented. Attribution is clear. Log your Week 1 results in your knowledge base.

---

## Week 2: Campaign Launch (Days 8-14)

These tasks implement everything from Day 2 of the system.

### Day 8: Campaign Architecture Setup
- [ ] Create the Four-Pocket campaign structure in Google Ads
- [ ] Add brand negative keywords to all prospecting campaigns
- Expected time: 60 minutes
- Module reference: Module 6 - Campaign Architecture
- Success metric: All 4 campaigns created with correct settings

### Day 9: Branded Campaigns Live
- [ ] Launch Branded Search campaign
- [ ] Launch Branded Shopping campaign
- [ ] Verify brand terms are captured correctly
- Expected time: 30 minutes
- Success metric: Branded campaigns active and serving

### Day 10: RSA Upload
- [ ] Upload your top-scoring headlines and descriptions to prospecting Search campaigns
- [ ] Configure sitelinks, callouts, and structured snippets
- Expected time: 45 minutes
- Module reference: Module 7 - Search Ad Excellence
- Success metric: RSAs live with full extensions

### Day 11: PMax Asset Groups
- [ ] Build and launch PMax asset groups (from Module 8 exercise)
- [ ] Upload all images, headlines, and descriptions
- [ ] Apply audience signals
- Expected time: 45 minutes
- Module reference: Module 8 - PMax Asset Creation
- Success metric: PMax campaign live with complete asset groups

### Day 12: Prospecting Campaigns Live
- [ ] Launch Prospecting Search campaign
- [ ] Launch Prospecting Shopping/PMax campaign
- [ ] Verify bidding strategies are correct (Max Clicks w/cap for new campaigns)
- Expected time: 30 minutes
- Success metric: All 4 pockets live

### Day 13: Landing Page Quick Wins
- [ ] Identify your 3 highest-traffic landing pages
- [ ] Apply quick conversion improvements: social proof placement, CTA clarity, trust signals
- Expected time: 45 minutes
- Module reference: Module 10 - Landing Page System
- Success metric: 3 landing pages improved

### Day 14: Week 2 Review
- [ ] First A.P.E.O. optimization pass (Module 14)
- [ ] Document initial performance across all campaigns
- [ ] Run first search term review
- Expected time: 60 minutes
- Success metric: Baseline performance documented. First negatives added.

**Week 2 Checkpoint:**
All campaigns should be live. Your Four-Pocket Architecture is running. This is your new baseline. Log it.

---

## Week 3: Systems Activation (Days 15-21)

These tasks implement everything from Day 3 of the system.

### Day 15: Reporting Dashboard
- [ ] Build your unified reporting dashboard (Module 13 specification)
- [ ] Connect data sources
- Expected time: 60 minutes
- Module reference: Module 13 - Reporting System
- Success metric: Dashboard live with all 5 channels visible

### Day 16: Alert Configuration
- [ ] Set up critical alerts (spend, tracking, CPA spikes)
- [ ] Set up warning alerts (ROAS drops, CTR drops)
- Expected time: 30 minutes
- Module reference: Module 13 - Reporting System
- Success metric: All alert categories configured

### Day 17: Competitive Intelligence Baseline
- [ ] Finalize your competitive intelligence report (Module 11 exercise)
- [ ] Set up monthly monitoring process
- [ ] Save competitor profiles to knowledge base
- Expected time: 45 minutes
- Module reference: Module 11 - Competitive Intelligence
- Success metric: Competitive profiles saved. Monitoring cadence set.

### Day 18: Second A.P.E.O. Cycle
- [ ] Run your second weekly optimization pass
- [ ] Compare to Week 2 baseline
- [ ] Add new negatives from search terms
- Expected time: 60 minutes
- Module reference: Module 14 - Optimization Protocol
- Success metric: Second optimization cycle completed and documented

### Day 19: Knowledge Base Initialization
- [ ] Set up your knowledge base with all 5 sections (Bonus 7)
- [ ] Add Week 1-3 learnings
- [ ] Log all changes made during the challenge so far
- Expected time: 30 minutes
- Success metric: Knowledge base live with initial entries

### Day 20: Offer Page Review
- [ ] Apply one insight from Module 12 to your highest-traffic product page
- [ ] Add or improve value communication
- Expected time: 30 minutes
- Module reference: Module 12 - Offer Page Strategy
- Success metric: One product page improved

### Day 21: Week 3 Review
- [ ] Third A.P.E.O. optimization cycle
- [ ] Check if any campaigns are approaching 50-conversion threshold
- [ ] Review overall performance trend
- Expected time: 60 minutes

**Week 3 Checkpoint:**
Systems are active. Dashboard is running. Alerts are configured. Optimization rhythm is established. You're operating the A.R.C. Method.

---

## Week 4: Optimization and Scaling Prep (Days 22-30)

### Day 22: Search Term Deep Dive
- [ ] Pull 21-day search term report
- [ ] Mine for new keyword opportunities
- [ ] Build/update negative keyword lists
- Expected time: 30 minutes
- Success metric: 5+ new keywords added, 10+ negatives added

### Day 23: Ad Copy Refresh
- [ ] Review RSA asset performance (Best/Good/Low)
- [ ] Replace any "Low" performing assets
- [ ] Add 3 new headline variations
- Expected time: 30 minutes
- Success metric: No "Low" performing assets remaining

### Day 24: PMax Optimization
- [ ] Review PMax asset performance
- [ ] Replace underperforming images or headlines
- [ ] Refine audience signals based on early data
- Expected time: 30 minutes
- Success metric: PMax asset group optimized

### Day 25: Phase Gate Assessment
- [ ] Run through all Phase Gate checklists (Module 15)
- [ ] Identify your current phase
- [ ] Document what's needed to advance
- Expected time: 30 minutes
- Module reference: Module 15 - Scaling Framework
- Success metric: Phase gate status documented

### Day 26: Competitor Campaign Preparation
- [ ] If Phase Gate 2 passed: Build first competitor campaign structure
- [ ] If not: Document what needs to happen first
- Expected time: 30 minutes
- Success metric: Competitor campaign ready to launch (or clear plan to get there)

### Day 27: First Monthly T.I.T.S. Review
- [ ] Run your first full monthly deep dive
- [ ] Review trends, identify opportunities, form test hypotheses, scale winners
- Expected time: 120 minutes
- Module reference: Module 14 - Optimization Protocol
- Success metric: Monthly review completed and documented

### Day 28: Build Your Scaling Roadmap
- [ ] Complete the Scaling Roadmap template with real numbers
- [ ] Set 30/60/90-day targets from today
- Expected time: 30 minutes
- Module reference: Module 15 - Scaling Framework
- Success metric: Scaling roadmap with specific targets

### Day 29: Knowledge Base Update
- [ ] Update all sections with Month 1 learnings
- [ ] Log all test results
- [ ] Record seasonal observations
- Expected time: 20 minutes
- Success metric: Knowledge base current

### Day 30: 30-Day Results Assessment
- [ ] Pull performance comparison: Day 1 baseline vs Day 30
- [ ] Calculate improvement across key metrics (revenue, ROAS, CPA)
- [ ] Document your top 5 wins
- [ ] Document your top 3 learnings
- [ ] Set your next 30-day priorities
- Expected time: 45 minutes

---

## Challenge Completion

**Day 30 Scorecard:**

| Metric | Day 1 Baseline | Day 30 | Change |
|--------|---------------|--------|--------|
| Revenue | $ | $ | % |
| ROAS | x | x | +/- |
| CPA | $ | $ | % |
| Tracking Discrepancy | % | % | +/- |
| Active Campaigns | | | +/- |
| Quality Score (152-point) | /152 | /152 | +/- |

**Tasks Completed:** ___ / 30

**Top 5 Wins:**
1. _______________
2. _______________
3. _______________
4. _______________
5. _______________

**What's Next (Days 31-60):**
_______________________________________________

---

**30-Day Post-Implementation Challenge - The Google Ads Operating System**
**By Tegra | tegra.co**


# Quarterly Review Framework: Catch Drift Before It Becomes Decay

**Bonus 12 | Standalone Value: $297**

---

## Why Quarterly Reviews Matter

Accounts drift. It's inevitable.

What was optimal in January isn't optimal in April. Competitors shift strategies. Seasonal patterns change your economics. New products launch. Old products lose momentum. The algorithm updates.

Weekly optimization catches the small stuff. Monthly reviews catch the medium stuff. But only quarterly reviews catch the strategic drift - the slow changes that compound into major performance gaps over 90 days.

We've seen accounts lose 30-40% of performance over a quarter because nobody stepped back to look at the big picture. The weekly numbers looked fine. The monthly numbers showed a slight decline. But the quarter-over-quarter trend told a completely different story.

This framework gives you a structured template for catching drift before it becomes decay.

---

## Quarterly Review Structure

Seven sections. Takes 3-4 hours to complete. Run it once every 90 days. Worth every minute.

---

### Section 1: Performance Summary

Pull the following metrics for the quarter and compare to the previous quarter and the same quarter last year (if you have the data).

**Account-Level Performance:**

| Metric | This Q | Last Q | QoQ Change | Same Q Last Year | YoY Change |
|--------|--------|--------|-----------|-----------------|-----------|
| Total Revenue | $ | $ | % | $ | % |
| Total Ad Spend | $ | $ | % | $ | % |
| Blended ROAS | x | x | +/- | x | +/- |
| Total Conversions | | | % | | % |
| Average CPA | $ | $ | % | $ | % |
| Average CPC | $ | $ | % | $ | % |
| CTR | % | % | +/- | % | +/- |
| Impression Share | % | % | +/- | % | +/- |

**Month-by-Month Trend (Within the Quarter):**

| Metric | Month 1 | Month 2 | Month 3 | Trend Direction |
|--------|---------|---------|---------|----------------|
| Revenue | $ | $ | $ | Up/Down/Flat |
| ROAS | x | x | x | |
| CPA | $ | $ | $ | |
| Spend | $ | $ | $ | |

**Key Question:** Is performance trending up, down, or flat within the quarter? A flat quarter average can mask a declining month-over-month trend that will worsen next quarter.

---

### Section 2: Goal vs Actual

Compare your start-of-quarter targets to what actually happened.

| Goal | Target | Actual | Variance | Why |
|------|--------|--------|----------|-----|
| Revenue | $ | $ | % | |
| ROAS | x | x | +/- | |
| New Customers | | | % | |
| Budget Utilization | % | % | +/- | |
| [Custom Goal 1] | | | | |
| [Custom Goal 2] | | | | |

**For missed targets:** What happened? Was it an execution issue, a market change, a competitor move, or a wrong assumption?

**For exceeded targets:** What drove the outperformance? Can you replicate or scale it?

---

### Section 3: Channel Analysis

Evaluate each of the 5 channels independently.

**Channel: Branded Search**

| Metric | This Q | Last Q | Trend | Status |
|--------|--------|--------|-------|--------|
| Revenue | $ | $ | | Healthy / Watch / Action |
| ROAS | x | x | | |
| Impression Share | % | % | | |
| Avg CPC | $ | $ | | |

Assessment: _______________________________________________
Action needed: _______________________________________________

**[Repeat for: Prospecting Search, Shopping, PMax, Demand Gen]**

**Channel Mix Analysis:**

| Channel | Revenue Share This Q | Revenue Share Last Q | Shift |
|---------|---------------------|---------------------|-------|
| Branded Search | % | % | +/- |
| Prospecting Search | % | % | +/- |
| Shopping | % | % | +/- |
| PMax | % | % | +/- |
| Demand Gen | % | % | +/- |

**Key Question:** Is the mix shifting toward or away from prospecting? A shift toward branded usually means prospecting is underperforming or being cut - which limits future growth.

---

### Section 4: Competitive Landscape Update

Run a competitive refresh using the Module 11 framework.

**Impression Share Trends:**

| Competitor | Q Start | Q End | Trend | Threat Level |
|-----------|---------|-------|-------|-------------|
| [Comp A] | % | % | | Rising/Stable/Declining |
| [Comp B] | % | % | | |
| [Comp C] | % | % | | |
| You | % | % | | - |

**Notable Competitor Moves:**
1. _______________________________________________
2. _______________________________________________
3. _______________________________________________

**New Competitors Detected:**
_______________________________________________

**Blue Ocean Score Update:** ___ / 100 (compare to last quarter: ___ / 100)

**Required Response:**
_______________________________________________

---

### Section 5: Product Performance

**Top 10 Products by Revenue Growth (QoQ):**

| Product | Revenue This Q | Revenue Last Q | Growth | Action |
|---------|---------------|---------------|--------|--------|
| | $ | $ | % | Scale |
| | $ | $ | % | |

**Top 10 Products by Revenue Decline (QoQ):**

| Product | Revenue This Q | Revenue Last Q | Decline | Action |
|---------|---------------|---------------|---------|--------|
| | $ | $ | % | Investigate |
| | $ | $ | % | |

**Product Tier Review:**

| Tier | Count This Q | Count Last Q | Change | Notes |
|------|-------------|-------------|--------|-------|
| Hero | | | +/- | |
| Sidekick | | | +/- | |
| Zombie | | | +/- | |
| Newcomer | | | +/- | |

**Key Question:** Are your Hero products holding? Are Zombies being addressed or accumulating? Any Newcomers graduating to Sidekick or Hero?

---

### Section 6: Testing and Learning Summary

**Tests Run This Quarter:**

| Test | Hypothesis | Result | Learning | Applied? |
|------|-----------|--------|---------|---------|
| | | Winner/Loser/Inconclusive | | Yes/No |
| | | | | |
| | | | | |

**Win rate:** ___ of ___ tests were Winners (___%)

**Top 3 Learnings From Testing:**
1. _______________________________________________
2. _______________________________________________
3. _______________________________________________

**Tests Planned for Next Quarter:**
1. _______________________________________________
2. _______________________________________________
3. _______________________________________________

---

### Section 7: Next Quarter Plan

**Revenue Target:** $_______________
**Spend Target:** $_______________
**ROAS Target:** ___x

**Strategic Priorities (Top 3):**
1. _______________________________________________
   - Specific actions: _______________________________________________
   - Expected impact: _______________________________________________
   - Timeline: _______________________________________________

2. _______________________________________________
   - Specific actions: _______________________________________________
   - Expected impact: _______________________________________________
   - Timeline: _______________________________________________

3. _______________________________________________
   - Specific actions: _______________________________________________
   - Expected impact: _______________________________________________
   - Timeline: _______________________________________________

**Budget Recommendations:**

| Channel | Current Budget/Month | Proposed Budget/Month | Change | Rationale |
|---------|---------------------|----------------------|--------|-----------|
| Branded Search | $ | $ | % | |
| Prospecting Search | $ | $ | % | |
| Shopping | $ | $ | % | |
| PMax | $ | $ | % | |
| Demand Gen | $ | $ | % | |
| Testing Budget | $ | $ | % | |
| **Total** | **$** | **$** | **%** | |

**Phase Gate Status:**
- Phase Gate 1 (Foundation): Pass / Fail
- Phase Gate 2 (Structure): Pass / Fail
- Phase Gate 3 (Scale): Pass / Fail

**Scaling Decision:** Scale / Hold / Rebuild _______________

---

## Review Cadence

| Quarter | Review Date | Notes |
|---------|------------|-------|
| Q1 | Early April | Set rest-of-year targets based on Q1 data |
| Q2 | Early July | Mid-year assessment. Adjust annual targets if needed. |
| Q3 | Early October | Pre-Q4 preparation. Lock in holiday strategy. |
| Q4 | Early January | Annual review. Set next year targets. |

---

## Common Patterns to Watch For

**Pattern: Revenue up but ROAS declining**
Cause: Usually scaling into less efficient traffic. Acceptable if total profit is increasing. Concerning if margin is shrinking.

**Pattern: Impression share declining while spend is flat**
Cause: Competitor aggression or Quality Score decline. Action needed.

**Pattern: Branded growing but prospecting shrinking**
Cause: Top-of-funnel investment declining. Future growth at risk.

**Pattern: Testing win rate below 30%**
Cause: Hypotheses aren't data-driven enough. Review test methodology.

**Pattern: Hero product count declining**
Cause: Product lifecycle issues or competitive pressure. Investigate individual products.

**Pattern: CPC rising across all channels**
Cause: Market-wide competition increase or seasonal pressure. Evaluate counter-strategies or efficiency improvements.

---

## After the Review

The quarterly review isn't done when you fill in the template. It's done when you've:

1. Shared findings with all stakeholders
2. Set specific next-quarter targets
3. Allocated budget to match priorities
4. Scheduled the first test for next quarter
5. Updated the knowledge base with quarterly learnings
6. Scheduled the next quarterly review date

That last step matters most. If you don't schedule it, it won't happen.

---

**Quarterly Review Framework - The Google Ads Operating System**
**By Tegra | tegra.co**
