Overview
Pawfies sells supplements and treats that customers tend to buy together over time, but rarely in the same first order. The team wanted to introduce the rest of the routine earlier, without crowding the product page.
Their goal was simple: make the first order bigger and more representative of what a loyal customer actually buys.
First orders that undersold the brand
Most new customers arrived for one hero product and checked out fast. That speed was great for conversion but left obvious, complementary items, such as a supplement to pair with the treat, completely undiscovered.
Adding more to the product page felt like clutter, and pre-checkout cross-sells risked slowing down the very buyers who were ready to pay.
Post-purchase bundles, chosen by data
Using Brew, Pawfies offered a discounted starter bundle on the thank-you page: the hero product's natural companions, packaged as one tap-to-add deal.
Then they leaned on built-in A/B testing to let the data decide. Brew split traffic across bundle variations and surfaced the winner automatically, so the team optimized on evidence instead of hunches.
- Bundles were assembled from complementary SKUs in seconds
- A/B tests ran continuously to find the best offer and price
- Winning variants were promoted automatically
$14.20 more on every order
The winning bundle was accepted by 27% of customers and added $14.20 to the average order, an 18% lift overall. Because it ran entirely after checkout, none of it came at the cost of conversion.
Pawfies now treats the thank-you page as a permanent merchandising surface, with a steady cadence of new bundles tested against the current champion.