Applying Call and Event Detail Records to Customer Segmentation and CLV

Acquiring and retaining the most profitable customers is a big concern of a telecommunication operator to perform more targeted marketing therefore business demand and competition between mobile operators is becoming more based on life cycle of customers in the network. In order to improve customer satisfaction and fulfill requirements, several data mining technologies can be used. Many researches have been performed to calculate the customer value without considering the call/event record generated according to service usage while my research suggested analyses to predict value of customer during their life based on CDRs and EDRs that generated in the network. One of the most important data mining technologies in life time value of customers is customer segments. This targeting practice has been proven effectively for mobile telecommunication industry. Most operators evaluate their customers by information like gender that extracted from billing systems. This paper discusses an innovation to link call/even detail record to the customer segmentation and CLV for a telecommunication business. The subscribers categorized in four segments (loyal groups) during the CLV that influenced based on service usage.