This project utilizes Python for exploratory data analysis (EDA) and RFM segmentation to analyze customer transaction data. It aims to transform raw data into actionable insights for improving customer retention, increasing revenue, and optimizing marketing strategies.
From the README
Customer Data Analysis & RFM Segmentation Project Overview This project analyzes customer transaction data to understand customer behavior and identify valuable customer segments using RFM (Recency, Frequency, Monetary) analysis. The objective is to transform raw customer data into actionable business insights that can help improve customer retention, increase revenue, and optimize marketing campaigns. --- --- 📊 Project Visualizations Customer Demographics Summary RFM Distribution Customer Segmentation Customer Clusters Age-Based Insights Geographic Insights Business Insights Marketing Recommendations --- Business Problem Businesses often struggle to identify: • Their most...
Skills
- Jupyter Notebook
- business-intelligence
- customer-analytics
- customer-segmentation
- data-analysis
- data-cleaning
- data-visualization
- eda
- exploratory-data-analysis
- jupyter-notebook
- machine-learning
