Tea of Sylhet is a direct-to-consumer eCommerce brand selling premium regional tea blends. The business relies heavily on paid marketing, but inconsistent tracking made optimization difficult. They needed a complete measurement system that works reliably on all devices.
The brand’s previous setup suffered from missing purchase values, unreliable event delivery, low remarketing quality, and incomplete GA4 eCommerce data. This affected decision-making and prevented accurate ROAS measurement.
I implemented a dual ecosystem: Meta Pixel + CAPI for conversion attribution and GA4 Enhanced eCommerce + custom event tracking for a complete analytics and revenue measurement framework.
- Send 100% accurate purchase conversions with revenue to Meta Ads
- Enable accurate server-side Meta Purchase events with value
- Implement full GA4 Enhanced eCommerce funnel
- Track custom micro events for behavior analysis
- Reduce tracking loss from cookies & browser limitations
- Improve remarketing and value-based optimization
- Reduce browser signal loss and improve event delivery
- Boost event match quality for stronger attribution
- Create behavior-based retargeting segments
- Enable automated ROAS-driven Meta Ads optimization
- Purchase events lacked accurate value in Meta Ads
- GA4 standard eCommerce events were missing or incomplete
- Custom micro-interactions were untracked
- Pixel-only tracking frequently failed due to ITP
- Low Event Match Quality (EMQ) → low attribution
- No event deduplication framework for Meta
- Audiences were too generic for effective retargeting
- Purchase events missing product items and value
- Browser-only tracking losing signals due to ITP & ad blockers
- Add to Cart tracked inconsistently
The solution combined hybrid server-side tracking for Meta with complete GA4 eCommerce measurement. The server-side container ensured reliable event delivery, while GA4 received full product-level insights for reporting and optimization.
- Hybrid Meta Pixel + Conversion API architecture
- GA4 Enhanced eCommerce + custom event schema
- Custom tracking domain for first-party event reliability
- Event deduplication (event_id matching)
- Advanced matching to boost Event Match Quality (EMQ)
- Behavior-driven audience creation for Meta
- Implemented: view_item, add_to_cart, view_cart, begin_checkout, add_payment_info, purchase
- Configured dynamic values: item_id, price, quantity, category & currency
- Enabled full funnel visibility: product → cart → checkout → purchase
- Scroll depth tracking (25–100%)
- WhatsApp click tracking
- Coupon apply tracking
- Button interaction events
- Form submission events
- ViewContent, AddToCart, InitiateCheckout, Purchase
- Included contents array, value, currency, content_ids
- Configured browser event_id for deduplication
- Configured GTM Server container via Stape
- Connected custom tracking domain
- Sent server-side events with enriched customer data
- Enabled hashed email, phone, IP & user agent matching
- Synced event_id between Pixel & CAPI
- Prevented duplicate purchase conversions
- ViewContent → no AddToCart
- Cart abandoned
- Checkout abandoned
- Repeat purchase audiences
- Meta Events Manager diagnostics
- GA4 DebugView
- Testing through Pixel Helper
- Server logs monitoring via Stape
- Meta Pixel
- Meta Conversion API (CAPI)
- Google Tag Manager (Web + Server)
- Google Analytics 4 (Enhanced eCommerce + Custom Events)
- Stape.io Server Container
- WooCommerce
| Area | Before | After |
|---|---|---|
| Meta Purchase Tracking | Missing or inaccurate | 100% accurate server-side revenue events |
| GA4 Ecommerce | Incomplete funnel | Full product → purchase funnel visibility |
| Custom Events | Untracked | Scroll, WhatsApp, coupon & form fully tracked |
| Event Delivery | Pixel-only | Pixel + CAPI hybrid |
| Match Quality | Low | 8–10/10 advanced matching |
| Optimization | Manual | Automated ROAS-driver bidding |
The combined Meta CAPI + GA4 Enhanced eCommerce solution transformed Tea of Sylhet’s measurement accuracy. With reliable first-party event delivery, full funnel reporting, and behavior-based segmentation, the brand can now optimize confidently with verified, revenue-backed data.










