The Scaling Roadmap
14 modules. 7 case studies. 10 templates. Every threshold documented from 160+ accounts across $20K-500K/month spend levels.
The same T.R.A.C.K.S. Protocol we run on every new client - 160+ accounts fixed, now documented for you.
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GA4 says $47,000 in revenue last month. Google Ads says $62,000. Shopify says $51,000. Three platforms, three numbers, none of them match. Every budget decision built on data nobody trusts.
We've audited 400+ Google Ads accounts. 70% have structurally broken tracking - GTM tags firing twice, cross-domain failing silently, campaigns optimizing for page views instead of purchases. One fashion brand's dashboard showed 4.2x ROAS. Actual ROAS after fixing a duplicate-fire GTM trigger: 2.1x. They'd been scaling losers for 8 months. The average waste across our audits: 23% of total ad spend.
> Lessons learned: One client had "working" tracking for 2 years. Double-counting 62% of conversions. Their 4.2x ROAS was actually 1.6x. The T.R.A.C.K.S. protocol exists because this pattern repeats in nearly three-quarters of the accounts we audit.
(Module 1) - Run the 78-point diagnostic across 5 layers. Pull every conversion action with its metadata - status, type, category, counting method, the `include_in_conversions_metric` flag. Check 7-day conversion stats per action. Flag anything with zero fires. Review 14 days of change history. You'll know exactly what's broken and how much it's costing.
(Module 2) - Clean the GTM container. Standard naming convention (`[Platform] - [Event]`), folder structure, data layer architecture, and the Transaction ID Validator that prevents deduplication failures. Most tracking breaks live in tag architecture. We fix it at the source.
(Module 3) - Configure GA4 events correctly. Standard e-commerce events, enhanced measurement, custom dimensions (presell_slug, angle_id, strategy, page_type) for attribution depth. The right events with the right parameters.
(Module 4) - Set Google Ads conversion actions properly. Primary vs secondary with the exact `primary_for_goal` and `include_in_conversions_metric` settings. Dynamic values, EVERY vs ONE counting, attribution windows matched to your purchase cycle. This is where Smart Bidding goes from confused to precise.
(Module 5) - Layer server-side tracking. Enhanced Conversions, Consent Mode v2, SGTM with first-party cookies, offline conversion import via ConversionUploadService (GCLID must be <90 days). Recover the 15-35% of data that client-side tracking misses.
(Modules 6-7) - Validate with the test fire protocol across 5 conditions. Monitor TOFU bleed (<5% healthy, >15% action needed), funnel ROAS by layer, and conversion action drift. Weekly checks, monthly audits, quarterly re-validation.
The Complete Tracking Fix Playbook
7 modules. 160+ account fixes distilled from 400+ audits into a system you can implement in 2-3 weeks.
This is the exact T.R.A.C.K.S. Protocol we run internally when a new client's tracking is broken - same diagnostic framework, same implementation sequence, same validation checks, same GTM configurations. The only difference is you're running it instead of us.
Two weeks from now, you'll have tracking you actually trust. Clean data feeding Smart Bidding. Accurate ROAS across every campaign. And a monitoring system that catches the next break before it costs you anything.
| Metric | Before (median) | After implementation (median) | Improvement |
|---|---|---|---|
| Tracking accuracy (orders matched) | 74% | 97% | +31% |
| Conversion visibility gap (invisible orders) | 26% invisible | 3% invisible | -88% |
| Duplicate conversion rate | 18% of reported conversions | 0% | eliminated |
| Cross-platform data agreement | 22% discrepancy | within 4% | -82% |
Based on accounts spending $12K-120K/month, implemented 2023-2025.
| Metric | Before (median) | After 60 days (median) | Improvement |
|---|---|---|---|
| ROAS (on clean data) | 1.8x | 2.9x | +61% |
| Monthly wasted spend (misattributed) | $8,400 | $0 | eliminated |
| iOS conversion recovery (server-side) | baseline | +26% more conversions visible | +26% |
| EU conversion recovery (Consent Mode v2) | baseline | +21% more conversions visible | +21% |
Based on 31 accounts across fashion, supplements, home goods, electronics, beauty, pet products, and apparel verticals.
| Metric | Before (median) | After (median) | Improvement |
|---|---|---|---|
| Diagnostic issues found per account | unknown | 14 issues (78-point audit) | quantified |
| GTM container setup time | 20+ hours from scratch | 3-5 hours with template | -78% |
| Time to detect tracking breaks | weeks to months | within 24 hours | immediate |
Based on accounts that completed all 7 modules including Module 7 monitoring setup.
The playbook takes 2-3 weeks. Agencies charge $2,000-5,000 for the same work.
Pre-built GTM container JSON with 8 tags, 6 triggers, 10 variables, and 4 folders - the exact architecture from Module 2. Includes: GA4 config + 4 e-commerce event tags (view_item, add_to_cart, begin_checkout, purchase), Google Ads conversion tag with Enhanced Conversions pre-configured, Conversion Linker on all pages, and the CJS Transaction ID Validator that generates unique fallback IDs when your data layer fails. Import into GTM, update 3 constants (GA4 ID, Conversion ID, Conversion Label), and you have a clean starting point. Saves 8-10 hours of manual configuration.
Visual decision flowcharts for every conversion action configuration. Four trees: Should this be a conversion action? Primary or secondary (with `primary_for_goal` and `include_in_conversions_metric` logic)? ONE_CONVERSION or EVERY_CONVERSION counting? What attribution window based on your purchase cycle? Plus a 7-point quick audit checklist to run on every existing conversion action.
9-phase deployment checklist: provider selection (Stape vs Cloud Run vs custom), subdomain CNAME setup, server container deployment, GA4 + Google Ads server-side tag configuration, first-party cookie setup (bypasses Safari ITP 7-day limit), 30-day parallel run with weekly comparison tracking, deduplication configuration, migration decision tree, and post-setup monitoring. The step-by-step companion to Module 5.
The complete test fire sequence from our production validation system. 5 pre-defined test scenarios with step-by-step checklists: baseline desktop, mobile Safari, consent denied, cross-domain, and repeat purchase deduplication. Cross-platform reconciliation table (Shopify -> GA4 -> Google Ads). Pass/fail criteria across 7 dimensions. Failure investigation decision trees for: tag doesn't fire, value is wrong, duplicate fires, missing transaction ID, cross-domain breaks.
Pre-formatted report with three cadences: weekly health check (15 min - conversion ratios, Enhanced Conversions status, unauthorized GTM changes), monthly deep check (1 hour - 30-day platform comparison, conversion action drift detection, Enhanced Conversions match rate trend, 5-point spot audit), and quarterly full audit (3 hours - complete 78-item diagnostic re-run with quarter-over-quarter trending). Includes investigation guides for when Google Ads shows more or fewer conversions than Shopify.
Complete Tracking Fix Playbook - 7 modules, 78-point diagnostic, full implementation system
BonusBonus 1: GTM Container Template (pre-built, importable)
BonusBonus 2: Conversion Action Decision Tree
BonusBonus 3: Server-Side Tracking Setup Checklist
BonusBonus 4: Tracking QA Protocol (test fire spreadsheet)
BonusBonus 5: Monthly Tracking Health Report Template
30-Day Implementation Guarantee
Run the Module 1 diagnostic. If it doesn't find at least $197 per month in trackable waste, wasted spend, or invisible conversions in your account, email me the completed diagnostic and I'll refund every cent.
The diagnostic takes 2 hours. The full fix takes 2-3 weeks. Agencies charge $2,000-5,000 for the same work.
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