![]() ![]() Customers Purchasing Items Within a Specific Period.Segment Performance Based on Customer’s Frequency and Recency.Total Sales Made across Each RFM Segment.Data Exploration for RFM Analysis in Tableau.Customer Segmentation with RFM Analysis.Understanding the Importance of RFM Analysis.Using these three metrics, you will learn how to generate important customer insights and improve how you break down your target market audience into smaller, more manageable groups using Tableau. ![]() ![]() You will calculate three indexes to carry out RFM Analysis in Tableau, which are Recency, Frequency, and Monetary value. This article contains a comprehensive explanation and description of how to setup RFM Analysis in Tableau. RFM Analysis in Tableau is an effective Marketing segmentation method that you can use to gain insight into customer behaviour. RFM (Recency, Frequency, Monetary) Analysis is a behaviour-based customer segmentation technique that uses past transaction history to segment customers. ![]()
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