Exploratory Data Analysis of a Perfume Chain Stores Clients and Purchases with RFM Score, Clustering, Association Rules, and Prediction Models

RFM, also known as RFM analysis, is a type of customer segmentation and behavioral targeting used to help businesses rank and segment customers based on the recency, frequency, and monetary value of a transaction.

Data Science Project Using RFM Analysis

So I needed to calculate the learn how to calculate the RFM score of the customers of a company I work for. In order to do it I used the famous Northwind database as the target of this test. I followed the instructions in this article in order to calculate the aforementioned score successfully: https://www.silota.com/docs/recipes/sql-recency-freq…

The project offers RFM segmentation, analyzing Recency, Frequency, and Monetary value. These metrics are vital for understanding customer behavior, influencing both retention and lifetime value.