How Luxe Apparel increased ad spend 40% with trusted attribution data

Challenge

Attribution looked good, but didn't match actual revenue

Luxe Apparel, a fast-growing fashion brand, was making million-dollar ad budget decisions on data they couldn't fully trust. Their GA4 attribution showed strong performance across paid channels, but when the finance team compared those numbers to actual Shopify revenue, significant discrepancies appeared.

The marketing team believed they were driving $4.2M in attributed revenue through paid channels. But when the finance team pulled Shopify order data, they could only account for $3.7M. The $500K gap created constant friction between teams and paralyzed decision-making.

With performance marketing budgets exceeding $800K monthly, even small attribution errors compounded into major financial uncertainty. The marketing director wanted to scale winning campaigns but couldn't get finance approval without resolving the data mismatch.

Solution

Single source of truth for marketing and finance

Luxe Apparel implemented GA4+SHOPIFY to unify their attribution and revenue data. The platform automatically synced Shopify order data with GA4 session and campaign data, creating a single dashboard where attribution and actual revenue lived together.

Instead of GA4 showing estimated conversion values, every attributed session was matched with actual Shopify order data: real revenue, real transaction IDs, real customer information. Marketing could finally see which campaigns drove actual purchases, not just clicks that GA4 estimated as conversions.

The reconciliation gap disappeared. Both teams worked from the same BigQuery-powered dashboard, with Shopify as the revenue source of truth and GA4 providing the attribution layer. Data updated hourly, eliminating the manual export and reconciliation process that previously consumed 15 hours weekly.