GitHub - ontu001/Telco-Customer-Churn-Analysis---EDA_Python

Explore The Full Project.

Objective:

To identify key drivers of customer churn through data analysis, quantify retention risks across segments (contracts, payment methods, tenure), and provide actionable strategies to reduce attrition and improve customer loyalty.

Customer Churn Overview

• 26.5% churn rate (1,869 customers)
• 73.5% retention rate (5,174 customers)

Key Takeaway:

Nearly one in four customers discontinued service, highlighting significant attrition risk. This baseline metric anchors further analysis of segmented churn patterns.

Customer Churn Distribution

• 26.5% churned ("Yes")
• 73.5% retained ("No")
• Total customers analyzed: 7,043

Key Takeaway:

The dataset shows a clear imbalance – while most customers (73.5%) remain, the 26.5% churn rate represents a substantial portion of users discontinuing service. This confirms the need to investigate which customer segments or behaviors drive this attrition.