Case Study — E-Commerce Brand
Fixing Web Analytics & Tracking Of Aurevia Labs to Improve Conversions by 65%
A fast-growing US Based e-commerce brand in the health & wellness space was investing in paid ads and getting consistent traffic, but performance was unpredictable.
About the Client
Client Overview
Aurevia Labs
E-Commerce / Retail
- Health & Wellness
- 45 Days
- Digilites help set up end-to-end tracking systems that drive real performance.
Meta Pixel
Google Analytics
Google Tag Manager
Conversion API
- Key Insights
- Without accurate tracking, marketing becomes guesswork
- Clean data directly impacts revenue growth
- GTM is essential for control and scalability
- Server-side tracking is becoming a standard
- Outcome
With a reliable tracking system in place, the brand was able to:
- Scale ad spend confidently
- Identify high-performing channels
- Reduce wasted budget
- Make faster, data-driven decisions
- Results (Within 45 Days)
- Tracking Accuracy: +90% improvement
- ROAS: 2.1 → 3.8
- Data Discrepancy: Reduced by 70%
- Conversion Rate: +65% increase
- Better campaign optimization decisions
Pain Points
The Challenges We Faced
Inaccurate Conversion Data In Google Ads
Conversion data was inaccurate in Google Ads, making it difficult to measure true performance and optimize campaigns effectively.
Duplicate events from Meta Pixel
Meta Pixel was triggering duplicate events, leading to inflated reporting and incorrect attribution across multiple marketing channels.
No visibility into user journey or funnel
User journey tracking was missing, resulting in no clear understanding of how visitors moved through the funnel and converted.
Decisions being made on incomplete data
Decisions were based on incomplete data, causing inefficient budget allocation and limiting the ability to scale campaigns with confidence.
Our Approach
Strategy & Execution
Full Tracking Audit
We started with a complete audit of the existing setup: Checked all installed tags and scripts Identified duplicate and conflicting pixels Mapped missing conversion events This revealed major gaps in data accuracy
Tracking Audit
Pixel Audit
Tag Review
Data Accuracy
Google Tag Manager Implementation
We rebuilt tracking using a centralized system: Fresh GTM container setup Removed hardcoded scripts from the website Managed all tracking via GTM Result: Clean, scalable tracking system
GTM Setup
Tag Deployment
Trigger Setup
Container
Event Tracking Setup
We implemented structured event tracking for: Page views Add to cart Initiate checkout Purchases Key button clicks Every important user action became measurable
Event Tracking
Conversion Events
Click Tracking
Funnel Events
Google Analytics 4 Configuration
Proper GA4 setup with enhanced tracking Funnel and path analysis configured Conversion events aligned with business goals Full visibility into user behavior
GA4 Setup
Analytics Config
Goal Tracking
Reporting Setup
About the Client
Client Overview
+90% Improve
Tracking Accuracy
2.1 → 3.8
ROAS
Reduced By 70%
Data Discrepancy
+65% Increase
Conversion Rate
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