Case Study: a global home furnishings retailer boosts Google Shopping revenue with Lily AI

a global home furnishings retailer grows Google Shopping revenue 5.7% with Lily AI

A global home furnishings retailer, with a mature Google Shopping program, found that traditional levers like bids and budgets were already optimized. Their challenge was that their product feed used internal business language rather than the terms shoppers use, and they wanted to see if better product data alone could grow revenue without increasing ad spend.

Lily AI implemented a controlled 28-day A/B test in Google Merchant Center using their product enrichment service. They enriched the product data for a treatment group with consumer-language attributes, while keeping bids and budget unchanged. Lily AI's solution drove a 5.7% increase in Google Shopping revenue per product with fewer, higher-intent clicks, proving that superior product data alone could deliver significant efficiency gains at scale.