Case Study: a large beauty and cosmetics retailing company boosts personalized marketing with Epinion

Predicting customer potential to optimize personalized marketing

The large beauty and cosmetics retailing company, a Danish market leader, sought to develop highly personalized marketing for its customer club. The challenge was to identify each member's growth potential by understanding their total spending share within specific product categories. To address this, they partnered with Epinion.

Epinion integrated third-party survey data with the client's loyalty club data to develop prediction models. This solution calculated the share-of-wallet for ten product categories for every single club member. These new customer tags became a highly actionable indicator, enabling the client to personalize communications and target lookalike customers with high potential across digital media.