RFM Analysis in Python | Customer Segmentation Tutorial for Data Analytics

Learn how to perform RFM Analysis in Python to segment customers based on Recency, Frequency, and Monetary value. This step-by-step tutorial covers everything from data preparation to creating customer segments using Pandas and Python. Ideal for data analysts, marketers, and business intelligence professionals looking to improve customer targeting and retention strategies. Dataset link: https://drive.google.com/file/d/1B3q971waVMOynyuUI5IpiZSRH3Kr8CtK/view?usp=drivesdk What You’ll Learn: Introduction to RFM Analysis Calculating Recency, Frequency, and Monetary scores in Python Segmenting customers using RFM scoring Visualizing RFM segments with Python Practical applications for marketing and CRM Tools Used: Python, Pandas, Jupyter Notebook Boost your data analytics skills and improve customer insights with this practical Python tutorial. Tags (SEO): RFM Analysis Python, Customer Segmentation, Python Data Analytics, Pandas Tutorial, RFM Model, CRM Analytics, Marketing Analytics, Data Science, Python Tutorial