Case Study: a global prestige beauty company achieves higher ROAS and stronger AI recommendation visibility with Lily AI

Global Prestige Beauty Company boosts ROAS 28% with Lily AI

A global prestige beauty company faced a challenge as shopper search language, like "a buildable cushion blush for sensitive skin," did not match their catalog descriptions, costing them visibility on Google, Meta, and emerging AI recommendation surfaces. They turned to Lily AI and its Lily Max product intelligence engine to close this gap without rebuilding their catalog operations.

Lily AI enriched the company's product feeds with consumer-language attributes and structured details. This led to measurable results, including a 28% higher ROAS and a 42% lower cost per purchase in Meta tests, plus a double-digit revenue lift on Google Shopping. The enriched content also improved the portfolio's visibility in AI-generated product recommendations.