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E-commerce Case StudySource: MarTechRise Strategic Consulting

How Fixing Broken Tracking Increased ROAS by 2.3X for an E-commerce Brand

"They faced major issues: GA4 revenue didn’t match actual sales and Meta Ads showed inflated conversions, leading to wasted ad budget on non-performing campaigns."

Measurable Outcome

2.3X ROAS Improvement
Validated attribution model

Client Overview

An e-commerce fashion brand was scaling paid ads across Meta and Google.

Business Challenge

But they faced major issues: ❌ GA4 revenue didn’t match actual sales ❌ Meta Ads showed inflated conversions ❌ Missing add-to-cart & purchase events ❌ No clear attribution → wrong campaign decisions Result: They were wasting ad budget on non-performing campaigns What We Found After a full analytics audit: - 35% of purchase events were not tracked - Duplicate events were inflating conversions - Data layer was inconsistent across pages - Browser tracking limitations were causing data loss (iOS + ad blockers) Insight: Their decisions were based on incomplete and misleading data

Tools Used

Google Analytics 4
GTM Server Container
Meta Ads
Google Ads
Clean Data Layer

MartechRise Solution

We implemented a complete tracking transformation: ✅ 1. Fixed GA4 & Event Tracking - Standardized event structure - Fixed missing purchase & add-to-cart events - Removed duplicate triggers ✅ 2. Implemented Server-Side Tracking - Using GTM Server Container - Improved data capture accuracy - Reduced data loss from browser restrictions ✅ 3. Built a Clean Data Layer - Structured product, cart, and transaction data - Ensured consistency across all pages ✅ 4. Aligned GA4 + Meta + Google Ads - Correct attribution setup - Conversion API integration - Deduplicated events across platforms

Outcome

The Results (Within 60 Days): 🚀 +38% increase in tracked conversions 📉 Reduced data discrepancy from 30% → <5% 💰 2.3X improvement in ROAS

Impact

+38% increase in tracked conversions
Reduced data discrepancy from 30% → <5%
2.3X improvement in ROAS

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