In this analysis, I reviewed open-sourced e-commerce data to segment users based on recency of purchase, frequency of purchase, and monetary value of purchase (RFM). I used a standard Kmeans clustering algorithm from the Scikit Learn python library to standardize the data and partition users into distinct segments based on their purchase history.
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A customer segmentation analysis using e-commerce data and a standard RFM (recency, frequency, monetary value) model.
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