Managing customer profitability in a competitive market by continuous data mining

In a near perfect market, competitive marketing strategies are often adapted dynamically and rapidly. The changes in customer behavior are resultant in unpredictable customer profitability and cause inefficient and ineffective marketing planning. In this study, by using data mining techniques, we develop a Customer Profitability Management (CPM) system to achieve marketing goals by leading customers to migrate along pre-determined and desirable tracks. The proposed system emphasizes a continuous interplay between the active and reactive monitoring procedures to identify customer shifts. It has been shown to be an effective approach to help a firm calibrate its marketing tactics with respect to different types of customers in different situations. The proposed mechanism has been applied to a telecom company with promising results.