Why do forward-thinking retailers invest in AI discovery before their conversion rate forces the issue? Because discovery is where casual browsers become buyers. Decathlon, the global sporting-goods retailer, shows what happens when you match each shopper to the right gear for their sport: conversion multiplies.
The result: Decathlon’s AI-powered product discovery delivered a 2.5x conversion rate increase and a 224% revenue-per-user uplift by matching shoppers with relevant sports products based on their activity profile.
Sporting goods is an intent problem#
Decathlon’s catalog spans dozens of sports, from running to climbing to cycling to team games. A shopper who runs has almost nothing in common with one who kayaks — yet a generic storefront shows them the same homepage. That mismatch is where conversion leaks: the runner has to wade past kayaking gear to find what’s relevant, and many simply leave.
Decathlon’s advantage is understanding each shopper’s activity profile — the sports and goals that define what’s relevant to them — and shaping discovery around it. Decathlon Belgium’s visual-AI product discovery, for example, drove a 2.5x conversion rate increase by surfacing the right products faster, and the brand has reported strong revenue-per-user and engagement gains across its personalization layer.
How discovery AI works#
Discovery AI personalizes the browse experience for shoppers who haven’t searched for a specific product. Instead of one homepage for everyone, it assembles a feed of gear matched to each person’s interests, activity, and behavior.
Three mechanics drive Decathlon’s results. The engine infers activity intent from behavior, so a shopper exploring trail shoes sees a running-and-outdoors store, not a generic one. It surfaces relevant equipment and accessories contextually, deepening exploration within the sport the shopper actually cares about. And it learns continuously, so recommendations sharpen as the shopper’s interests become clearer.
Why revenue-per-user is the metric to watch#
A 2.5x conversion lift is striking, but the revenue-per-user uplift is the number that captures the full effect. RPU rolls conversion, basket size, and relevance into one figure: it measures how much total value the store extracts from each visitor. When discovery matches shoppers to the right gear, they convert more often and buy more per visit — accessories, complementary equipment, the items that complete a kit — and RPU climbs accordingly.
That’s the strategic point: discovery AI doesn’t just win the single sale, it raises the value of every visit. For a retailer with Decathlon’s breadth, getting each shopper into the right “sport store within the store” is the whole game.
What this means for your store#
You don’t need Decathlon’s catalog to apply the principle. Any store whose products serve distinct shopper types can use discovery AI to convert better:
- Personalize the browse experience to each shopper’s inferred interests so the storefront feels built for them.
- Surface contextually relevant complementary products to deepen exploration and grow each visit.
- Track revenue per user, not just conversion, to capture the full value of better discovery.
When shoppers land in a store that understands what they’re here for, they convert — and they spend more doing it.
Bring discovery AI to your store with CartAmplify#
CartAmplify brings the same AI-powered discovery that helped Decathlon lift conversion 2.5x to any store — Shopify, dropshipping, or marketplace. A browse experience that matches every shopper to the products that fit them.
Related reading#
- How Decathlon Lifted RPU 224% with AI Search
- How Decathlon Lifted AOV 40% with Browse AI
- How ASOS’s AI Discovery Lifts Email CTR 75%, AOV 25%
The 2.5x conversion figure reflects Decathlon’s documented visual-AI discovery case study; the +224% RPU figure is as reported in AI discovery case studies. Results vary by catalog, traffic, and implementation.
