Implementation of Clustering Technique Based RFM Analysis for Customer Behaviour in Online Transactions

The process of CRM's own business aptitude for integrated information storage, acquisition and decision support is to deliver adapted customer services, which qualifies to analyse customer representatives and classify customer data to sole their needs. This information is very helpful to promote greater customer satisfaction and retention. But nowadays CRM Segmentation models are outdated and deficient because of the excessive and noisy data set. In this paper, a proposed and new feature selection method using some efficient data mining techniques to resolve the customer data set according to relevant features for data quality are discussed along with the recital segmentation and RFM analysis.