Hat Country had a catalog problem that didn't show up in the numbers.
After 15 years in business, the store had grown from a hat shop into a full western lifestyle retailer: 1,000+ products, 50,000+ customers, and brands like Stetson, Resistol, Bullhide, and Ariat across hats, boots, belts, jackets, jeans, jewelry, and accessories for men, women, and children. By product count and category breadth, this was a complete store.
Most customers still bought a hat and left. The product range had expanded; the shopping experience hadn't. That gap was costing Hat Country revenue on every order.
This case study covers what changed when AI product recommendations were built into the store: a 23% AOV lift, 40x ROI, and nearly 1 in 10 sales influenced by recommendations.
About Hat Country
Hat Country is a Shopify Plus retailer with over 15 years in western wear. What started as a hat-focused shop grew into a comprehensive western lifestyle destination, with 1,000+ products and 50,000+ customers spanning hats, boots, jackets, jeans, belts, buckles, jewelry, and accessories across men's, women's, and children's categories. The catalog naturally supports outfit-level purchases, but for most visitors, the store was still a hat shop.
The challenge: a full catalog, invisible to its own customers
Most buyers thought they were in a hat shop
Hat Country's brand identity hadn't caught up with its catalog. Customers arrived looking for cowboy hats; that was the intent, the search query, the reason they clicked through. They found a hat, bought it, and left. Boots, belts, and jackets sat in the catalog unseen.
Navigation helps, but it doesn't close this gap on its own. A customer who came for a specific Stetson isn't going to click through category menus to find the boots that pair with it. That connection has to be made for them, at the moment it's relevant.
Single-item transactions were the norm
The catalog supports outfit-level purchases. A cowboy hat pairs with boots, a belt, a jacket. The products were there to support a $250 order instead of a $75 one, but without cross-selling infrastructure, most transactions stayed at a single item. Customers weren't indifferent to the rest of the catalog; they simply had no way to discover it.