A fast-growing fashion e-commerce brand was scaling aggressively on Meta and Google Ads but couldn't trust their numbers. GA4 revenue didn't match Shopify, Meta showed inflated conversions, and their marketing team was optimizing campaigns based on incomplete data. We rebuilt their tracking architecture from scratch — implementing server-side GTM, Meta CAPI, and a clean data layer — and immediately uncovered where their ad budget was actually working.

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

Overview

Revenue mismatches and inflated conversion data were burning $47K/month in wasted ad spend. We fixed their tracking stack and recovered accurate attribution.

!The Challenge

Technologies

Objectives

Platform & Audience

Gallery

Visual Highlights

Process

How we made it happen

1. Tracking Audit & Root Cause Analysis

2. Data Layer & Server-Side Infrastructure

3. Attribution Model Configuration

4. Validation & Handoff

Measurable Outcomes

Key Solutions

Selected Work