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Feedo achieved 10% revenue growth and 22% recommender conversion rate with Luigi's Box Search and Recommender. Read the case study.
Feedo sells baby and toddler products across the Czech Republic and Slovakia, with both e-commerce and brick-and-mortar stores. Their catalogue covers the big purchases (strollers, car seats) and the everyday ones, and Feedo Club members get ongoing loyalty benefits on top of that.
The support during implementation and throughout our cooperation has been excellent. We’ve achieved more accurate search results, better prioritization of higher-margin products, and an estimate of around 10% revenue growth.
Getting the most out of Luigi’s Box meant connecting it to the full picture of Feedo’s business: product availability, margin data, and purchase history across online and offline channels. The integration covered feed configuration and customer ID alignment across Feedo’s e-commerce platform, loyalty program, and email system, so recommendations could draw on a complete view of each customer.
In Feedo’s words: “The integration was smooth and completely hassle-free.”
Feedo’s previous search tool ranked products based on static rules, with no input from clicks, purchases, or any other customer behavior. Searches for a stroller would surface accessories and add-ons ahead of actual strollers, while key brands like Cybex and Thule sat buried further down.
Luigi’s Box Analytics continuously collects behavioral signals, including clicks, conversions, and search query popularity, and feeds them into the ranking algorithm. With added transaction data, search results now reflect what customers actually buy. Core products and high-margin brands show up where they should.
Our previous tool displayed products that did not make sense in the top positions. Shoppers often saw complementary products instead of core items. At the same time, we lacked a high-quality autocomplete feature.
Buying a stroller isn’t an impulse decision. Parents often research for hours. They read articles, compare options, and check reviews, only to find out their winner is unavailable when they’re ready to commit. Feedo had no way to hide unavailable items or point shoppers toward alternatives.
Once Feedo’s product data included the correct availability attributes, Luigi’s Box could push unavailable items down in the results and surface in-stock alternatives. Feedo can also pin products manually using Luigi’s Box merchandising tools.
When a search returned nothing, Feedo had no tools to learn about it. No way to spot catalog gaps and stock what customers were actually looking for.
Luigi’s Box Analytics tracks every no-result query. Feedo can now see exactly what customers search for and can’t find and act on it.
A parent who bought a stroller in-store and then browsed online looked like a new visitor. There was no customer ID and loyalty data shared across channels. In-store purchases and online history were disconnected, hurting the relevance of recommenders.
With IDs aligned and transaction data in Luigi’s Box, Recommender now works from a full purchase picture. A parent who bought a stroller in-store sees footmuffs and rain covers when they browse online, not generic bestsellers.
Feedo’s customers now find what they’re looking for. Over a third use search, and more than one in eight who do go on to make a purchase. Recommendations perform strongly, too. One in five shoppers who see them convert, with a 5.2% click-through rate pulling them in first.
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