Why can some marketplaces add sponsored products at scale without wrecking the shopping experience? Because the AI decides what to surface based on relevance, not just who paid. Glovo, the Spanish delivery platform, scaled its ad business explosively while keeping returns high — a balance only personalized browse AI makes possible.
The result: Glovo’s AI-powered product browsing and advertising platform grew from zero to 1,000+ active vendors in under three months, with AI maintaining a 5–7x return on ad spend through personalized product surfacing.
Growth usually breaks relevance — here it didn’t#
When a marketplace opens up sponsored placements, the usual failure mode is obvious: more advertisers means more paid products crowding the feed, relevance drops, shoppers tune out, and ROAS collapses for everyone. Scaling ad inventory and keeping it effective normally pull against each other.
Glovo avoided that. As it crossed 1,000 vendors in under three months — a tenfold vendor growth rate — its average ROAS held at 5–7x. The reason is that the AI surfaces sponsored products based on conversion likelihood, so shoppers keep seeing things they actually want even as the advertiser pool expands. Personalization is what let growth and performance coexist.
How browse AI works#
Browse AI personalizes what shoppers see as they explore — including which sponsored and recommended products appear, and where. Rather than showing the same placements to everyone, it ranks every option by relevance to the individual shopper.
Three mechanics made Glovo’s results possible. The engine personalizes product surfacing, so each shopper sees the items — sponsored or organic — most relevant to them. It uses AI auto-bidding, calculating the expected value of each impression from learned conversion rates so ad spend flows to placements that convert. And it preserves the experience at scale, keeping the feed relevant even as vendor count multiplies, which is what protects ROAS.
Why relevance protects ad performance#
The lesson in Glovo’s numbers is that ad performance and shopper experience aren’t enemies — when relevance drives placement, they’re the same thing. A sponsored product that genuinely matches a shopper’s intent converts, which is good for the advertiser (high ROAS), the shopper (useful result), and the platform (sustainable ad revenue). The moment placements become “whoever paid most” regardless of fit, all three suffer.
Glovo’s 5–7x ROAS across a rapidly growing vendor base is proof that personalized surfacing is the foundation of a healthy retail-media business. The AI keeps every placement earning its spot by relevance, so scale doesn’t dilute results.
What this means for your store#
If you run promoted products, bundles, or featured placements, the principle applies directly:
- Surface promoted and recommended products by relevance to each shopper, not by a fixed slot.
- Let conversion likelihood drive what’s featured, so placements earn their position.
- Protect the browse experience as you scale promotions, because relevance is what sustains performance.
You can grow promoted inventory without degrading the experience — but only if AI keeps every placement relevant.
Bring browse AI to your store with CartAmplify#
CartAmplify brings the same kind of personalized product surfacing that let Glovo scale vendors while holding 5–7x ROAS to any store — Shopify, dropshipping, or marketplace. Relevance-driven browse that keeps every placement converting.
Related reading#
- How Glovo Scaled to 1,000+ Vendors at 5-7x ROAS
- How Nike’s SNKRS App Uses Browse AI to Drive Hype
- How Flipkart Personalizes Browsing for 400 Million Shoppers
Figures cited from the publicly reported Glovo / Topsort case study. Results vary by catalog, traffic, and implementation.
