PythonMLPandasSeabornEDA
Telecom Customer Churn Prediction
problem · Diagnose root causes of customer attrition and build predictive logic to trigger retention interventions.
repo · Rashad-Mohammed02/TelecomCustomerChurnPredictionEDA ↗primary · Jupyter Notebookupdated · 2 months agosize · 793.6 KB
what shipped
- Python EDA (Pandas / Seaborn) surfaced a critical churn threshold, with users making 4+ service calls exiting at far higher rates.
- Proposed a feature-bundle retention play for International Plan users, targeting the highest-risk segment.
repository readme
fetched from github · rebuilt daily
Telecom Customer Churn Prediction & EDA
Executive Summary
This project analyzes customer attrition data to identify key behavioral patterns differentiating churners from loyal customers. Using Python (Pandas, Seaborn), the analysis reveals that customer service interactions and specific product features (International Plans) are the primary drivers of churn. The findings suggest that a proactive intervention strategy for customers with high service call volumes could significantly reduce attrition.
Tools Used
- Language: Python 3
- Libraries: Pandas, NumPy, Matplotlib, Seaborn
- Techniques: Exploratory Data Analysis (EDA), Correlation Analysis, Segmentation
Key Findings
Based on the analysis of customer data:
- The "4-Call" Threshold: There is a critical tipping point in customer service. Customers who make 4 or more service calls have a drastically higher churn rate (>60%) compared to those with fewer calls.
- International Plan Risk: Users with the International Plan churn at a much higher rate than those without it, suggesting dissatisfaction with pricing or call quality.
- Voice Mail Retention: Customers who subscribe to the Voice Mail Plan show higher retention rates, indicating this feature acts as a "sticky" product.
Recommendations
- Automated Intervention: Implement an automated alert system that triggers a "high-touch" retention offer (e.g., a discount or manager call) the moment a customer logs their 4th service call.
- International Plan Review: Conduct a competitive pricing audit of the International Plan to address the high churn rate in this segment.
- Feature Bundling: Aggressively bundle Voice Mail with standard plans to increase customer stickiness.