RFM Customer Segmentation Analysis
Data analysis and customer segmentation project focused on identifying customer behavior patterns and generating business insights using RFM analysis.
RFM Customer Segmentation Analysis
Developed a customer segmentation analysis using RFM (Recency, Frequency, Monetary) methodology to identify customer purchasing behavior, improve retention strategy, and support data-driven marketing decisions.
Key Features
- Customer Behavior Analysis
- RFM Segmentation
- Customer Retention Insights
- Marketing Strategy Recommendations
- Data Visualization
- Business Insight Generation
Project Overview
This project focuses on analyzing customer transaction behavior using the RFM framework to segment customers based on purchasing activity and monetary contribution.
The analysis helps identify high-value customers, inactive customers, and potential loyal segments to support targeted marketing strategies and improve customer retention performance.