Case Study: FAMBrands boosts campaign performance with Retina AI

A Retina AI Case Study

Preview of the FAMBrands Case Study

FAMBrands - Customer Case Study

FAMBrands, a collection of branded activewear labels including Marika, Zobha, Bally Total Fitness, and Orvis, needed a better way to measure the value of its existing customers and identify similar prospects for acquisition. The company turned to Retina AI and its Retina Go! tool to analyze customer-level value and churn data.

Retina AI analyzed a 30,000-customer sample in under two hours, then helped FAMBrands build value-based lookalike audiences for Facebook campaigns using its highest-value customers as a model. The result was a 20% increase in campaign performance during FAMBrands’ busiest period, with the potential to improve annual ROAS by 1.25x while lowering CPAs.


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