Why Cat Food Is Outpacing Dogs in Pet Commerce

There is a quiet category shift happening in the pet industry - and most ecommerce store owners have not adjusted for it yet. The data is clear: cats are gaining ground fast, and brands that built their entire identity around dogs may be sitting on a blind spot that is quietly capping their revenue.

This is not a trend buried in niche trade reports. The numbers are showing up everywhere, and they have direct implications for how you merchandise, recommend products, and personalize the shopping experience inside your store.

The Numbers Behind the Shift

According to Euromonitor International, cat food sales grew at roughly 6% annually between 2020 and 2025 - compared to approximately 3.8% for dog food over the same period. That means cat food grew nearly 1.6 times faster than its canine equivalent across five years of data.

In Europe, FEDIAF reports there are now 108.3 million cats versus 89.6 million dogs - a gap of nearly 19 million animals. That is not a rounding error. That is a structural shift in the consumer base.

In the United States, the American Pet Products Association (APPA) reports that cat-owning households have risen from 40 million to 49 million in a remarkably short window. Multi-cat households are also climbing, with homes owning three or more cats increasing significantly since 2018.

Dogs still represent the majority of total pet spending - that is not in dispute. But the growth momentum is measurably shifting toward cat households, and that gap is going to keep widening as urban living, smaller apartments, and flexible working arrangements continue to favor lower-maintenance pets.

Why Dog-First Brands Are Leaving Revenue on the Table

Here is where the ecommerce problem really crystallizes. A huge portion of pet stores were built dog-first - not just in terms of product range, but in naming, visual design, homepage layout, paid media targeting, and the way products are recommended to new visitors.

When a cat owner lands on a store that leads with labrador imagery, dog breed filters, and "puppy starter packs," they feel like a second-class customer before they have even reached the product page. The experience signals: this store was not built for you.

That is a conversion problem. And it is one that hidden friction points like this are notoriously hard to diagnose without the right data - because the shopper just leaves. They do not complain. They do not fill out a survey. They bounce.

The Personalization Gap Is the Real Issue

The deeper problem is not the imagery on your homepage. It is that most pet stores treat every visitor identically, regardless of whether they own a Persian cat or a Labrador retriever. The same product carousel. The same featured bundles. The same automated email sequence.

In a market where cat households are growing at nearly double the rate of dog households, that one-size-fits-all approach is becoming increasingly costly. Personalized shopping experience AI exists precisely to close this gap - routing different shoppers toward the products that are actually relevant to their animal, their household size, and their buying history.

According to research on retail personalization, stores that surface contextually relevant products dramatically outperform those relying on static merchandising. That gap is only going to widen as shopper expectations rise.

What This Means for Your Product Recommendation Strategy

If you run a pet ecommerce store, the cat ownership surge is not just a demographic curiosity. It is an active opportunity with three concrete implications:

1. Your Homepage Is Not Neutral

Every element of your homepage is making a silent argument about who your store is for. If cat owners feel like an afterthought in your design and navigation, they will behave like one - bouncing quickly and buying elsewhere. Audit your above-the-fold content with fresh eyes, specifically asking: does a cat owner immediately see themselves here?

2. Your Recommendation Engine Needs Animal-Aware Logic

Static "you might also like" carousels built around generic bestsellers are a missed opportunity in a category as segmented as pet care. Automated product recommendations that factor in pet type, life stage, and household composition will consistently outperform generic suggestion engines. A three-cat household has completely different needs than a single-dog owner, and your store should reflect that from the first interaction.

3. New Entrants Should Think Pet-First, Not Dog-First

If you are building a new pet brand or expanding your range today, anchoring your identity too tightly to dogs means you are designing out roughly half of the growth opportunity in the market. Positioning around "pets broadly" - with strong category depth for both dogs and cats - is a more defensible commercial strategy given where the consumer base is heading.

This is also where AI shopping assistant for ecommerce tools become genuinely valuable beyond the novelty factor. A well-configured AI assistant can ask visitors about their pet in a natural, conversational way - and then route the entire shopping experience around that answer. No more hoping that a cat owner stumbles onto the right filter. The assistant surfaces the right products immediately.

The Ecommerce Stores Already Winning This

The pet stores quietly gaining ground right now are not necessarily the ones with the largest product catalogs. They are the ones using ecommerce conversion optimization tools to make every shopper feel like the store was built for their specific animal.

That could mean an AI assistant that opens with "What kind of pet do you have?" and adapts every recommendation from there. It could mean segmented email flows that treat cat owners and dog owners as distinct audiences. It could mean cat-specific landing pages that rank for the search terms growing fastest in the category.

The stores that figure this out in 2025 are going to look very smart by 2027. The ones that keep treating cat owners as a subset of their dog strategy are going to wonder why their conversion rates are drifting down year on year. As we explored in our breakdown of why store traffic stops converting, mismatched experiences between visitor intent and store presentation is one of the most common - and most overlooked - revenue leaks in ecommerce.

The Bottom Line

Dogs are not going anywhere. They still represent the largest slice of pet spending, and that loyalty is real. But the growth vector in pet ecommerce is increasingly cat-shaped, and stores that do not adapt their product discovery, personalization, and recommendation logic to reflect that will leave a meaningful amount of revenue on the table.

The fix is not complicated. It starts with understanding who is actually visiting your store and making sure the experience you serve them matches what they came to find. Increase online store sales AI is not just a buzzword here - it is the practical mechanism for delivering that kind of dynamic, animal-aware personalization at scale.

This article was inspired by Roy Ben-Tzvi.

LISA is an AI shopping assistant that helps ecommerce stores deliver personalized, conversion-focused experiences from the first interaction. If your store sells pet products - for cats, dogs, or both - LISA can adapt every recommendation to the shopper in front of you. Try LISA free and see the difference personalization makes.