Customer Segmentation Using CLV Elements
Mitra Bokaei Hosseni, Mohammad Jafar Tarokh
DOI: 10.4236/jssm.2011.43034   PDF    HTML     8,027 Downloads   14,815 Views   Citations


To have an effective customer relationship management, it is essential to have information about the different segments of the customers and predict the future profit of them. For this reason companies can use customer lifetime value that consists of three factors-current value of customers, potential value, and customer churn. Potential value of customers focuses on the cross-selling opportunities for current customers. Therefore, cross selling models are built on the total customers of the database that is not interesting. To overcome this, we presented a framework that estimates the current value and churn probability for the customers and then segmented them base on these two elements and select the most profitable segment for the cross-selling models. In this study we predict the customer churn base on logistic regression as a case study on the insurance database.

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M. Hosseni and M. Tarokh, "Customer Segmentation Using CLV Elements," Journal of Service Science and Management, Vol. 4 No. 3, 2011, pp. 284-290. doi: 10.4236/jssm.2011.43034.

Conflicts of Interest

The authors declare no conflicts of interest.


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