Case Study: a fast-growing performance apparel brand achieves a 7.3% revenue lift on Google Shopping with Lily AI

Fast-growing Performance Apparel Brand lifts Google Shopping revenue 7.3% with Lily AI

A fast-growing performance apparel brand wanted to determine if enriching its product data alone, without any changes to its sophisticated Google Shopping campaign, could increase revenue. The brand partnered with Lily AI to run a controlled test using its product enrichment capabilities.

Lily AI implemented a clean experiment, splitting the catalog into control and treatment groups. The treatment group received Lily AI's enrichment with structured attributes and consumer-language descriptions, while bids and budget remained identical. The test proved a causal revenue lift of 7.3% and a 4.7% increase in revenue per product per day, confirming the product data itself was the constraint.