Sample Health Check Report
A preview of what you get with a Full Health Check โ $19
Small tracking errors destroy attribution, ROAS, reporting, and remarketing accuracy. A Full Health Check finds what Shopify, GA4 DebugView and GTM Preview can't.
Built with real-browser diagnostic methods โ not static tag checkers.
This preview checks only GA4/GTM basics. The full diagnostic reveals deeper issues across consent mode, ecommerce events, checkout tracking, and data quality.
This is not a tag checker. We run a real browser, capture live network requests, detect duplicates, degraded signals, drops, and event inconsistencies.
This is a simulated full scan. A score under 80 indicates tracking gaps that affect revenue attribution and measurement accuracy.
Top Insights
GA4 measurement ID is duplicating all events, inflating revenue and conversion metrics by 2ร.
Consent Mode v2 is not implemented, reducing EU conversion accuracy by 20-40%.
Purchase event is missing required ecommerce parameters (currency, value, items).
Why Tracking Breaks on Shopify
Shopify's platform updates, app ecosystem, and checkout changes can silently break tracking that worked yesterday.
Theme Updates
Theme updates overwrite GA4/GTM code, causing tracking to stop or duplicate.
Your attribution data becomes unreliable after routine theme maintenance.
Checkout Extensibility Changes
Checkout migration changes script loading. Traditional GTM/GA4 may lose purchase events.
Purchase revenue appears lower than actual sales, distorting ROAS calculations.
App Overlaps
Multiple apps inject GA4/GTM code, causing duplicate events and 2ร revenue inflation.
Marketing dashboards show inflated conversions, hiding real performance issues.
Consent Mode v2 Misconfigurations
Missing consent signals reduce EU conversion accuracy by 20-40%.
European traffic appears less valuable, leading to incorrect budget allocation.
Duplicate GA4/GTM Templates
Multiple GA4 templates create duplicate measurement IDs, inflating all metrics by 2ร+.
All conversion metrics are multiplied, making optimization decisions impossible.
Parameter Mismatches
Missing or incorrectly named ecommerce parameters break conversion tracking.
Revenue attribution fails silently, leaving you blind to campaign performance.
The problem: You can't tell when tracking breaks until you notice revenue drops in GA4. By then, you've already lost data.
๐ฏ Key Findings at a Glance
Detected Configuration
๐ดCritical Issues
Business Impact
Duplicate GA4 measurement inflates your revenue, conversion rate, ROAS, and cost-per-purchase by 2ร. Your marketing decisions are based on incorrect data. A $50k/month ad spend might actually be $25k effective.
Expected Behavior
POST /g/collect tid: G-XXXXXXX (once per pageview) ea: page_view
Found Behavior
POST /g/collect (fired twice) tid: G-XXXXXXX ea: page_view tid: G-XXXXXXX (duplicate)
How to Fix
- Remove duplicate gtag.js loader from theme.liquid
- Check GTM for multiple GA4 config tags
- Verify only one GA4 measurement ID is active
- Test with GA4 DebugView to confirm single hits
๐กHigh Priority Issues
๐ขMedium Priority Issues
What You'll Fix With a Full Health Check
Common tracking issues we identify:
Real-browser GA4/GTM/Consent Mode scan
Not a simple tag checker โ we execute your full page in a real Chromium browser to catch runtime issues, race conditions, and script conflicts.
E-commerce event validation
Verify add_to_cart, begin_checkout, purchase events fire correctly with complete parameters (transaction_id, currency, value, items).
Tag reliability analysis
Detect duplicate events, double-firing tags, missing triggers, and script load failures that inflate or deflate your metrics.
Consent Mode v2 validation
Check if consent signals (analytics_storage, ad_storage) fire before GA4/GTM loads. Critical for EU traffic and GDPR compliance.
Timing & signal propagation analysis
Ensure consent signals, dataLayer events, and GTM triggers fire in the correct order. Timing issues cause silent data loss.
Code examples & fix instructions
Copy-paste fixes with GTM screenshots and Shopify Liquid examples. No guesswork โ exact steps to resolve each issue.
Prioritized findings (Critical / High / Medium)
Focus on what matters. Critical issues (2ร revenue inflation) get top billing. Medium issues (draft GTM containers) come later.
PDF & JSON export
Download your full report as a PDF for sharing with developers, or JSON for importing into project management tools.
Most Shopify stores scanned by industry tools show purchase tracking issues.
Stop Guessing. Know Exactly What's Happening in Your Tracking.
Broken tracking hides revenue loss. A Full Health Check shows exactly what's broken, why it matters, and how to fix it โ in minutes.
Trusted by ecommerce brands. Results delivered in minutes. PDF + JSON export included.
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