Case Study: a leading specialty retailing company achieves higher redemption growth with Fractal's ML-powered targeting

A retailer targets offers to increase redemption revenue by 230%

a leading specialty retailing company faced challenges with siloed data and ineffective personalization, which led to disconnected marketing campaigns and low offer redemption rates. This limited their ability to drive incremental foot traffic and sales. They engaged Fractal to unlock their consumer data and improve personalization across their multiple business units.

Fractal implemented a solution that created a unified data ecosystem and utilized ML-powered targeting to generate a 360-degree customer view. This enabled highly personalized and localized retargeting campaigns. The results included a significant boost in redemption rates and revenue growth, optimized promotional outcomes, and a reduction in generic offers, all of which increased ROI and customer stickiness for the retailer.