Published Paper Details:

As the number of rivals and contenders in the market are increasing day by day, it is getting harder and harder for the existing companies to retain customers. The Customer Analytics based on Segmentation, Retention and FP-Growth provides a better way for retention and improving the profit margins. Customer Analytics is the process of analysing the customer data to gain some valuable and useful information or knowledge that is beneficial to the organization or the store. In this research we will be working on a way to improve the retention of the customers by analysing the buying patterns of the product consumers. For that first the customers are segmented into various categories based on their interaction with the company using RFM analysis and K-Means Clustering. Then the patterns of purchasing are studied and recommendations are provided using the FP-Growth algorithm. These recommendations are basically used to attract the customers and gain back them back by providing various offers and sales. Finally, this results in the improved commitment of the customers with regard to the organization and also improved profit margin for the organization over long-term.