Customer Segmentation using RFM Analysis
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Updated
Oct 4, 2026 - R
Customer Segmentation using RFM Analysis
Showcase for using H2O and R for scoring for marketing campaign in retail
The aim of this project is to analyze the spending behavior of customer groups using various techniques.
Materi praktikum Talent Scouting Academy (TSA) Kominfo 2023-Customer Segmentation
Customer segmentation is the process of dividing customers into groups based on common characteristics so companies can market to each group effectively and appropriately. This Project uses R language and Kmeans clustering algorithm to segment customers into clusters.
This exploratory data analysis project aimed to unravel key insights into donor behavior, preferences, and regional trends using SQL and R
Customer segmentation is dividing the customers into segments based on RFM scores. In this project I've used RFM model in R to generate RFM score.
Customer purchase behavior analysis and segmentation using R, clustering techniques, and distribution analysis.
Customer clustering with k-means and DBSCAN
Customer Profile & Shopping Behavior Analysis is an R-based project analyzing customer data from retail stores, focusing on segmentation, seasonal trends, and market behaviors.
Corporate Retail Analytics: Time-Series Forecasting, Store Inventory Optimization & CRM ML Segmentation
K-means as an unsupervised machine learning technique. Customer Segmentation Case.
E-commerce customer segmentation project using RFM Analysis (Recency, Frequency, Monetary) in R. Features advanced data cleaning, 8+ diagnostic charts, and 2 executive dashboards. Designed to identify high-value segments and provide prescriptive strategies for customer retention and revenue growth.
Use k-means clustering to segment credit card customer data from a Kaggle dataset
A repository of all my projects in R.
Customer segmentation using RFM analysis and K-means clustering in R to identify purchasing patterns and actionable customer groups.
I describe the methods used to segment customers of a Brazilian online retailer via K-means clustering of their recency, frequency, and monetary value of purchases.
RFM analysis and K-Means clustering to segment jewellery retail customers by purchasing behaviour
A RFM model is implemented to relate to customers in each segment this code has been implemented in R
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