Case Study: Galeries Lafayette boosts marketing efficiency and customer targeting with DinMo

How DinMo helped Galeries Lafayette leverage Artificial Intelligence to turn its customer data into profitable growth

Galeries Lafayette, a historic department store chain, faced intense competition and rising customer acquisition costs, particularly after the impact of the Covid19 crisis. They needed to leverage their large customer database to improve ad targeting and maximize their return on ad spend (ROAS), but their e-business teams lacked the technical skills to create the necessary customer segmentation autonomously.

To address this, DinMo implemented a tailored Composable CDP. This solution enabled the marketing teams to create over 40 customer segments and use predictive AI metrics, such as churn probability and lifetime value. As a result, DinMo helped Galeries Lafayette achieve segments that were four times more effective than those built on business rules alone, improving campaign personalization and efficiency across platforms like Google Ads and Meta Ads.

Galeries Lafayette