Noncontractual churn analysis for a private bank customers

The study includes data for a bank in the interest-free finance sector for 2020 and 2021. 6,844 corporate segment customers of a private participation bank in Turkey who exchanged foreign currency and precious metals via a mobile banking application were investigated. For customer churn analysis, first the RFM model was developed, then the CLV value was calculated. A threshold was determined with the statistical method in the transactional data, which was unlabeled, and the customers below the threshold were labeled as "lost customers." After all, customers were labeled according to this rule, and supervised methods were used to predict the most probable churners.