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Feu Vert Spain deploys GenAI on its product feed and generates +32% in ROAS on Google Shopping
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-15%
CPC
+32%
ROAS
x25.3
ROI
How the AI enrichment of product flow becomes a direct driver of performance
Feu Vert Spain, a major player in car maintenance in Spain, has enriched and structured its product flow using generative AI to better meet user expectations and the requirements of Shopping algorithms.
In an ultra-competitive e-commerce context, where every detail in the catalog can influence performance, the brand has bet on intelligent automation to transform its feed into a lever for media performance. The result: a clear increase in profitability and the quality of traffic on Google Shopping.
👉 Discover how the activation of Feed Enrich allowed Feu Vert Spain to structure, enrich and exploit its product flow on a large scale — and to measure concrete results.
What you will discover in this customer case:
- Why and how Feu Vert Spain structured its enrichment process
- Key steps for implementing the GenAI product flow optimization solution Feed Enrich
- Levers activated and lessons learned
- The concrete business impact on Shopping and PMax campaigns
📥 Download the complete customer case to discover the behind the scenes of an AI-driven product optimization strategy.
With a large and highly technical product catalog, the standard Google Merchant Center feed no longer allowed maintaining the expected level of performance on Google Shopping and Performance Max. We needed to enrich our product data quickly and at scale, without adding operational complexity.
With Feed Enrich, we've enriched our feed using AI, generating new attributes aligned with users' search intentions and activating them directly in our campaigns. The results were clear: improved CTR, lower CPC and a significant increase in ROAS, driven by more qualified traffic. Feed Enrich has transformed our product feed into a real media performance lever.
