How a fast-growing performance apparel brand turned product data into a 7.3% revenue lift on Google Shopping

The shift: the feed was the ceiling, not the campaign

The brand was already running a sophisticated Google Shopping program. Bids and budgets were tuned. But like most retailers, its product feed spoke the language of the business: a title, a short description, brand, and color. The attributes shoppers actually search on — fit, fabric, use case, occasion — were missing or buried in prose.

The team wanted an honest answer to a specific question: could better product data, and nothing else, move revenue? Not a projection, not a demo. A tested result.

The approach: a clean, controlled test

Rather than promise a number, Lily AI ran a controlled experiment on Google Shopping. The catalog was split into a matched control group and a treatment group of comparable size. The control kept the brand's existing product content. The treatment group received Lily's enrichment: structured attributes, benefit-driven descriptions, consumer-language highlights, and search descriptors that reflect how people actually shop.

Bids, budget, and campaign structure stayed identical across every group. The only variable was the product data. The test ran for 26 days.

Why the method matters

During the test, impressions and clicks fell across every group, including the control, by a similar amount. That was a market-wide effect, not the test.

Because the control absorbed the same market conditions, a difference-in-differences analysis could separate what the enrichment actually caused from what would have happened anyway. This is the difference between watching a dashboard move and proving your work moved it. Demand that was already shifting affected every group equally, so it cancels out. What remained was the effect of the product data itself.

What this means

The campaign was never the constraint. The product data was. When the feed describes products the way shoppers and machines actually read them, the same ad spend produces more revenue, and the lift holds up under controlled measurement.

The same enrichment layer that lifted Google Shopping here extends to Meta Ads, to organic and AI-driven discovery, and to onsite search. Enrich once, perform across every surface where people search and shop.