Tracking Accuracy and Data Recovery
| 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.
Revenue Impact from Clean Data
| 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.
Implementation and Maintenance
| 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.