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Customer Segmentation Using RFM & K-Means by shiwanibanjare6 is a document available to read on EtoBox.

What is Customer Segmentation Using RFM & K-Means about?

This study focuses on customer segmentation for Nine Reload Credit using the RFM model and K-Means clustering algorithm, analyzing 82,648 transactions from 2017. The research resulted in two clusters, with 63 customers in Cluster 1 and 39 in Cluster 2, providing insights for marketing strategies and customer retention. The findings can assist companies in identifying profitable customer segments and enhancing decision-making in product marketing.

Author

shiwanibanjare6

Language

EN