The Scaling Roadmap
14 modules. 7 case studies. 10 templates. Every threshold documented from 160+ accounts across $20K-500K/month spend levels.
You fixed the tracking. You optimized the feed. You built the campaigns. Now you're staring at dashboards wondering what any of it means - and whether the numbers warrant action or patience. The P.U.L.S.E. Protocol turns Google Ads data into decisions. 30 minutes a week. 12 chapters. From 200+ account audits and $120M+ in managed spend.
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You open Google Ads every morning. Impressions, clicks, conversions, ROAS. The numbers are all there. But "there" is a spreadsheet with 47 columns and zero context for what requires action versus what requires patience.
So you react. CPC spiked 18% yesterday - pause that keyword. ROAS dropped below 3x on Tuesday - cut the budget. Campaign only has 4 conversions after 7 days - kill it. Except that keyword was your best converter on a 14-21 day purchase cycle. That ROAS dip was a Thursday blip in a profitable weekly trend. That campaign you killed at day 7? It converts at day 14-21 for your price point, and you just reset the learning phase for the third time this quarter.
We audited an outdoor gear brand spending $40K/month. They were killing campaigns after 7 days that historically converted between day 14 and 21. Three profitable campaigns buried in premature kills over a single quarter. Their best-performing product group was hidden inside aggregate Shopping data - profitable at the product level, invisible at the campaign level. And a budget-constrained campaign running at 65% impression share? That was actually their highest-ROAS performer. They were starving it to fund campaigns with shinier top-line numbers.
This is the pattern across 200+ audits: operators drowning in data and starving for decisions. The dashboards aren't broken. The diagnostic framework is missing.
Classify every metric in your account into three tiers: vanity (impressions, clicks - context only), diagnostic (CTR, CPC, quality score - directional signals), and decision (ROAS, CPA, profit contribution - action triggers). Most operators treat all metrics equally. This stage eliminates 60% of the noise by defining what actually matters for your business. Deliverable: your personalized 3-tier metric map.
Channel-specific analysis frameworks for Shopping, Search, PMax, and Demand Gen. Each channel has different health indicators, different optimization levers, and different time horizons. A 2.5x ROAS in Shopping means something completely different than 2.5x in Demand Gen. This stage gives you the diagnostic lens for each campaign type. Deliverable: channel scorecards with benchmarks.
Turn patterns into action triggers. When metric X crosses threshold Y in context Z, take action A. No more "ROAS dropped, what do I do?" Instead: "ROAS dropped 15% over 7 days with stable conversion volume - check auction insights for competitive pressure before adjusting bids." This stage converts observations into a decision tree. Deliverable: your action trigger library.
Weekly 30-minute diagnostic plus monthly deep dive. The weekly check covers 5 metrics in a specific sequence. The monthly review covers budget reallocation, audience refresh, and competitive positioning. Most operators either check daily (reactive) or monthly (too late). This cadence hits the sweet spot. Deliverable: your diagnostic calendar with checklists.
Recovery playbooks for 6 common crises: sudden CPC spike, ROAS collapse, conversion volume drop, impression share decline, quality score degradation, and learning phase reset. Each playbook is a decision tree - not a list of things to try, but a branching diagnostic that isolates the root cause in 15 minutes. Deliverable: 6 laminated-style recovery flowcharts.
12 chapters. 200+ accounts' worth of diagnostic patterns. Every framework, checklist, and recovery playbook documented.
This is the exact P.U.L.S.E. Protocol we run internally on every account we manage. Same metric classification system. Same weekly checklists. Same recovery playbooks. Same decision triggers. The only difference is you're running it instead of paying us $3,000-5,000 for a quarterly diagnostic engagement.
You'll go from "the numbers moved but I don't know what to do about it" to a 30-minute weekly diagnostic that catches problems before they compound and surfaces scaling opportunities you're currently missing in aggregate data.
| Metric | Before (median) | After 90 days (median) | Improvement |
|---|---|---|---|
| Time to detect performance issues | 11 days | 2.5 days | -77% |
| Premature campaign kills per quarter | 4.1 | 0.6 | -85% |
| Budget reallocation frequency | Quarterly (reactive) | Monthly (proactive) | 3x more frequent |
| Weekly diagnostic time | 2.5 hours (unfocused) | 30 minutes (structured) | -80% |
| Metric | Before (median) | After protocol (median) | Improvement |
|---|---|---|---|
| Budget trapped in underperformers | 28% of total spend | 11% of total spend | -61% |
| Profitable campaigns identified as "failing" | 2.3 per quarter | 0.3 per quarter | -87% |
| Scaling opportunities surfaced per month | 0.4 | 2.1 | +425% |
| Effective ROAS (after reallocation) | 2.4x | 3.2x | +33% |
Composite data from 200+ audits across e-commerce, lead gen, and SaaS verticals.
An agency diagnostic engagement runs $2,000-5,000. A fractional analyst costs $3,000-6,000/month. The P.U.L.S.E. Protocol costs $197 once and teaches you to run your own diagnostics permanently.
The printable 5-check protocol from Chapter 9 in a standalone format. Open tabs, apply filters, compare metrics, log findings, escalate issues - all on one page. Designed to live next to your monitor. Laminate it, pin it, screenshot it. 30 minutes every Monday morning. No thinking required about what to check or in what order.
A pre-built spreadsheet template for the monthly review from Chapter 10. Pull 30-day data into the template, and it auto-calculates budget reallocation recommendations, flags campaigns that need creative refresh, and highlights competitive shifts. Includes conditional formatting (green/yellow/red) so the output is visual, not numerical. Set up once. Use every month.
The scoring framework from Chapter 2 as a standalone tool. Rate your account across 8 health dimensions with weighted scoring. The scorecard outputs an overall health grade (A through F) and prioritizes the 3 highest-impact fixes. Run it on day one to establish your baseline. Run it monthly to track improvement. Takes 20 minutes.
All 6 crisis flowcharts from Chapter 11 as standalone visual decision trees. Print-ready format. Each tree starts with the symptom (e.g., "CPC spiked 20%+ in 48 hours") and branches through diagnostic questions to isolate root cause and recommended action. Designed for the moment when something breaks and you need a systematic response, not a guess.
Benchmark ranges for all decision-tier metrics across 12 industries, compiled from 200+ audits. CTR, CPC, conversion rate, ROAS, CPA, impression share - with ranges for "healthy," "needs attention," and "critical." Stops you from comparing your DTC skincare account to SaaS benchmarks you found on a blog. Updated annually.
Run the P.U.L.S.E. Protocol on your account. Complete your first weekly diagnostic using the 5-check protocol. If you don't identify at least 3 optimization opportunities you weren't aware of - budget reallocation moves, premature kills to reverse, scaling candidates you'd missed - email us for a full refund.
The data is already in your account. The P.U.L.S.E. Protocol is the diagnostic layer that turns it into action - 30 minutes a week, every week.
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8 chapters distilled from 160+ attribution audits across accounts spending $3K-500K/month over the past 8 years - reconciling GA4, Google Ads, and Shopify into one dashboard.
Score your Google Ads across 5 pillars - campaign architecture, extensions, negative keywords, conversion setup, and budget health. The same framework from 400+ account audits, now yours to run.