Customer Churn Analysis: Identifying Drop-Off Indicators & Retention Strategies

In this project, we explore customer churn analysis to uncover the key indicators that show when customers are at risk of leaving. Using Excel, we calculate metrics like Recency, Frequency, Monetary Value (RFM), Average Order Value, and Customer Lifetime to understand churn behavior.

📊 What’s Inside:

How to clean and prepare churn data for analysis

RFM segmentation to identify at-risk customers

Churn rate by country and customer segments

Key churn patterns and actionable insights

Strategies to improve retention and re-engagement

This project is perfect for data analysts, business owners, and marketers looking to reduce churn and grow customer loyalty using simple Excel-based analytics.

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Видео Customer Churn Analysis: Identifying Drop-Off Indicators & Retention Strategies канала Richbelle reigns