An efficiency analysis on the TPA clustering methods for intelligent customer segmentation

Now a day's commercial marketing growth is improved by customer segmentation model. Literatures use the data mining technology to review the customer segmentation and sound effectives. Stages of CRM have been used in most of the cases. Based on RFM, demographic and LTV data the paper is prepared using the data mining tools for the new customer segmentation. Customer segmentation has been done by RFM and LTV method. By using K-means clustering and demographic data, the customers are clustered into different categories. LTV profile of the customer is finally ready. This method has been followed by various other industries too.

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