The generic storefront, showing the same featured products to every visitor, has started losing ground to a different logic in digital pet retail: showing the right product for that specific animal’s profile, based on size, age, and breed provided by the pet owner. Hugo Galvao de Franca Filho, founder and director of Enjoy Pets, sees this shift as one of the most relevant changes in how catalogs get presented, both on the store’s own site and on the marketplaces where the operation sells.
Instead of relying only on the customer’s active search, the store starts suggesting products based on real information about the pet, cutting the time between arriving on the site and deciding to buy. This change looks small on the surface, but it directly affects how long a pet owner takes to find the right item, and that reduced friction is exactly what sits at the center of this new wave of pet innovation.
From a generic storefront to a catalog that responds to the pet’s profile
The traditional e-commerce model shows the best-selling products to everyone, regardless of whether the visitor has a small breed puppy or an older dog with a specific dietary restriction. That generic format works, but it leaves the entire job of filtering the catalog down to something actually suitable for their pet on the customer’s own shoulders.
Hugo Galvao de Franca Filho considers that asking for basic information about the animal, such as size, age, and any restriction, early in the browsing experience completely changes the relevance of what shows up afterward. This small adjustment keeps the pet owner from abandoning the search halfway through, tired of scrolling page after page without finding a product that makes sense for that specific pet.
What the pet owner provides matters more than browsing history
Browsing history helps capture general buying preferences, but direct data about the pet, provided by the owner, adds a layer of precision that no behavioral algorithm can reproduce on its own. Knowing that a dog is eight years old and has digestive sensitivity already points the recommendation toward a specific line, without the owner having to search for that manually across the entire catalog.
Enjoy Pets, featured at www.enjoypets.com.br, built this kind of question into strategic points along the buying journey, avoiding making it feel too bureaucratic for the customer. Hugo Galvao reinforces that the key lies in asking only for information that actually changes the recommendation, without turning the experience into a long form before showing any product at all.
Personalization also reduces returns and stagnant stock
When a customer receives a recommendation aligned with their pet’s real profile, the chance of a mismatched purchase drops, which reduces returns and complaints tied to a product being unsuitable for that specific animal. This side effect tends to go unnoticed in discussions about personalization, which usually focus only on higher conversion, leaving out its direct impact on the logistics side of the operation.
Hugo Galvaode Franca Filho points out that a well-recommended product also moves faster through stock, since it lowers the chance of a mistaken purchase followed by an exchange or return. That operational gain, combined with higher conversion, makes personalization a change that benefits the entire operation, not just the isolated number of sales closed in a given period.
The next step is using that data beyond the first purchase
Collecting information about the pet at the first touchpoint is only the start. Using that same data to anticipate when a specific product is about to run out, suggesting a restock at the right moment, is what separates surface-level personalization from a strategy genuinely built around that animal’s consumption cycle over time.
For Hugo Galvao, this kind of anticipation is likely to become standard in digital pet retail over the coming years, as more operations recognize the value of data the customer volunteered themselves. Whoever builds this logic early gets ahead of those still treating every site visit as an isolated first purchase, with no memory of what that specific pet has already consumed before.
