Browse AI

How Etsy Doubled Engagement with AI-Personalized Browsing

Etsy's AI-personalized homepages drove nearly 2x engagement versus generic pages. Here's how browse AI deepens exploration and purchase intent.

4 min read
Etsy — Browse AI case study cover for the CartAmplify blog

Why are the fastest-growing marketplaces the ones that personalize the moment a shopper arrives? Because the homepage is the highest-traffic, lowest-intent page on any store — and the biggest wasted opportunity if it looks the same to everyone. Etsy, the marketplace for handmade and one-of-a-kind goods, shows what personalizing that page is worth.

The result: Etsy’s AI-personalized browsing homepages yielded nearly 2x the engagement versus non-personalized pages, driving deeper product exploration and purchase intent.

A catalog where no two products are alike#

Etsy’s catalog is unlike almost any other: tens of millions of items, most of them unique, handmade, or made-to-order. There’s no clean SKU taxonomy to lean on, and a shopper rarely arrives looking for a specific product — they arrive looking for something: a gift, a vibe, a style. That makes generic merchandising nearly useless. The “popular right now” row that works for a mass retailer is noise to an Etsy shopper hunting for the perfect hand-thrown mug.

The only way to make that catalog navigable is to personalize discovery to the individual. Etsy’s browse AI does exactly that, assembling a homepage tailored to each shopper’s taste signals so the first screen feels like it was curated by someone who knows what they like.

How browse AI works#

Browse AI personalizes the experience for shoppers who are exploring rather than searching. Instead of a one-size-fits-all homepage, it builds a feed around each visitor’s behavior — what they’ve viewed, favorited, and purchased, and what shoppers with similar taste tend to love.

For a unique-item marketplace like Etsy, three things make this powerful:

The engine infers taste from subtle signals, because there’s no clean category structure to fall back on — “more like what you linger on” replaces “more in this category.” It surfaces serendipity, presenting items the shopper didn’t know to look for but is delighted to find, which is the entire emotional appeal of browsing Etsy. And it deepens the session, because a relevant first screen invites a second click, then a third.

Why engagement is the leading indicator#

A 2x engagement lift might sound softer than a conversion number, but for a discovery-driven marketplace it’s the leading indicator that matters. On Etsy, purchases follow exploration. A shopper who clicks deeper, favorites more, and lingers longer is a shopper building intent. Double the engagement and you widen the top of every purchase journey on the site.

This is the heart of browse AI: it doesn’t push a shopper toward a known product — it invites them to discover more, and discovery is where marketplace demand is created. The personalized homepage turns a passive landing into an active exploration, and exploration is what converts on a catalog of one-of-a-kind goods.

What this means for your store#

Etsy’s catalog is extreme, but the principle is universal. If your homepage looks identical to every visitor, you’re wasting your highest-traffic page:

  • Personalize the homepage feed to each shopper’s taste so the first screen earns the second click.
  • Engineer serendipity — surface relevant items shoppers didn’t know to search for — to deepen exploration.
  • Treat engagement as the early signal of intent, and optimize the browse experience to grow it.

The homepage is where most shoppers start and where most stores show everyone the same thing. Browse AI fixes that.

Bring browse AI to your store with CartAmplify#

CartAmplify brings the same AI-personalized browsing that doubled Etsy’s engagement to any store — Shopify, dropshipping, or marketplace. A homepage that adapts to every visitor, turning passive browsers into active explorers.

Try CartAmplify free →


Figures cited from publicly reported Etsy AI case studies. Results vary by catalog, traffic, and implementation.

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