Profiling bank customers behaviour using cluster analysis for profitability

Analyzing information of bank's customers for Customer Behavior Modeling is a difficult problem since it is a multi dimensional problem. This study has been done in a bank at the analysis of customer’s behavior that isn’t limited to customer’s benefit in their general uses of banking services and also is considered as channel’s charges. In this study, used of k-means for customer segmentation according to important characteristic of customers and their behaviors in using a channel. The result of segmentation of customer’s profile is according to their behavior which will help the bank for retention strategies of current customers and attracting new customers.