Customer Lifetime Value

Think

Predicting purchases

To be able to interact more effectively with its customer base and focus efforts on profiles with the highest potential, we focused our attention on Customer Lifetime Value by proposing the establishment of indicators on customers and by estimating their future value.

Make

Advanced Predictive Models

The success of the project is based on a close tripartite collaboration between the teams of Eulidia, those of the brand and those of the group. Eulidia played a facilitating role in this organization. The provision of relevant features for machine learning model training allowed the CRM team to benefit from a predictive segment for each customer over the N+1 year, accompanied by a score reflecting their predisposition to make a purchase in the coming months.

Scale

Autonomy and Decision Making

The Dataiku platform and the underlying models are now in production. Eulidia has also implemented good working and organizational practices around Dataiku, and has trained the team to give them autonomy in the general functioning of the platform and the monitoring of tasks. The business also benefits from predictive customer indicators in order to animate customers directly from their usual tools in a more precise manner.