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30,000 raw retail transactions documenting the purchasing behavior of 100 customers across 5 regions. This Kaggle-hosted dataset provides the raw inputs necessary for calculating Recency, Frequency, and Monetary (RFM) metrics. The data is specifically curated for retail analytics and customer segmentation workflows.
Users will need to perform significant data cleaning and feature engineering to transform the raw transaction rows into a customer-level RFM table; license and author details are not provided.