Case Study: Burrow achieves 20:1 ROAS with Black Crow AI

Boosting ROAS For Burrow

Burrow, a high-AOV furniture brand with a long purchase consideration cycle, needed a better way to use first-party data to identify high-intent shoppers beyond basic retargeting events like add to cart or purchase. The company partnered with Black Crow AI to improve audience targeting and make its marketing more precise.

Black Crow AI implemented its machine learning engine to analyze over 450 real-time inputs per site visitor and predict purchase likelihood, enabling Burrow to target high-intent users across channels. The result was 20:1 ROAS in static retargeting for high-score audiences and 100% higher ROAS for dynamic retargeting campaigns, with the trial phase reportedly doubling ROAS and leading Burrow to continue the partnership.

Burrow