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2022 An Analytical Framework Based On The Recency, Frequency, and Monetary by matiniyekta is a document available to read on EtoBox.

This study presents a framework for dynamic customer segmentation using the Recency, Frequency, and Monetary (RFM) model combined with time series clustering techniques. By employing state-of-the-art clustering algorithms, the framework effectively identifies distinct customer segments and analyzes their behavioral trends, providing marketing suggestions. The results indicate that hierarchical clustering is optimal for grocery retailers, while spectral clustering is best for appliance retailers, highlightin

Author

matiniyekta

Language

EN