Challenge
Since the acquisition of new customers costs significantly more than maintaining or even deepening existing customer relationships, a customer willing to migrate to other suppliers must be identified as early as possible to then bind him further through optimized offers. Increased untargeted sales contact can have the opposite effect and will increase the likelihood of churn even more.
The approach
Based on the historical customer churn data, using various external and internal available customer attributes, a decision tree is generated that allows an accurate churn forecast to be created for each existing and future customer
By using the biX AI Tools, the solution approach can be fully integrated into your SAP system.
Your benefit
By using a decision tree for churn forecasting, the underlying rules become directly transparent and thus allows to quickly identify the relevant adjusting screws for an expanded customer offer. As a result, customers can be tied to the company for a longer period of time.
