Loading Howl Media Labs
Preparing the page and animations...
Loading Howl Media Labs
Preparing the page and animations...
Fully rebuiltGA4, GTM, and Shopify analytics
Analytics Stack
Eliminatedpreviously inflating conversion data
Duplicate Tracking
Accurate & reliablefor evidence-based media buying
Data Foundation

A D2C fashion brand on Shopify was making critical marketing and inventory decisions without reliable data. Their GA4 setup was misconfigured, GTM was absent, and Shopify's native analytics were not properly integrated. The result: no accurate visibility into traffic sources, conversion funnel behaviour, or revenue attribution — meaning every media buying decision was based on guesswork.
Before any marketing optimisation is possible, data infrastructure must be accurate. We audited the full analytics stack, identified every misconfiguration and gap, and rebuilt systematically — GA4, GTM, and Shopify analytics — establishing a reliable data foundation for all future decisions.
Audited existing GA4 property: identified misconfigured events, duplicate tracking from simultaneous native + GTM firing, and missing conversion goals
Configured Google Tag Manager with properly structured tags, triggers, and variables for all key Shopify events: page view, product view, add to cart, initiate checkout, and purchase
Fixed GA4 ecommerce event setup to capture complete product-level data for transactions, cart events, and item views
Set up Shopify's native analytics integration for cross-referencing and reconciliation with GA4 data
Validated all tracking via GA4 real-time debug mode and live test transactions
Built a standard ecommerce reporting view with core KPIs: sessions, conversion rate, revenue, average order value, and traffic source attribution