Customer story

How Indosole discovered their Meta spend was reaching the wrong buyers and rebuilt their targeting around the right ones

The challenge

Indosole was running Meta ads and watching sessions roll in. But something felt off. When they dug into what was actually converting, a pattern emerged: a large portion of the people clicking through weren't buyers. They were curious browsers, random audiences landing on the site, looking around, and leaving. The creatives that looked strong in the dashboard weren't pulling in people who were close to buying. With Arnio, they could finally see which shoppers were genuinely engaged, what products had their attention, how far into the buying process they'd gone, and which ad creatives were consistently attracting people with real purchase intent. They stopped spending on audiences that weren't going to convert, rebuilt their Meta targeting around the shopper signals Arnio captured, and created lookalike audiences based on the exact profile of their most engaged buyers. Less waste. Better reach. Sharper results.

“We had traffic coming from Meta ads, but we needed a better way to know which people were actually ready to buy and not just browsing. Greg and his team helped us understand product interest and buyer behavior so we could focus our retargeting on the right people. We also realized a lot of the traffic wasn't the right fit. Being able to see that clearly let us rethink our creatives and go after audiences that actually convert.”