Telecom Customer Churn Analysis
📊 Telecom Customer Churn Analysis
This repository contains an Exploratory Data Analysis (EDA) of a telecom company's customer churn data. 🚀 Churn refers to customers discontinuing their services, a phenomenon that can hurt a company's bottom line. In this report, we'll dive deep into the factors driving churn and explore possible strategies for retention. Ready? Let’s go!
📋 Dataset Overview:
- Customer Demographics: Gender, SeniorCitizen, Partner, Dependents, etc.
- Service Subscriptions: From PhoneService to OnlineSecurity.
- Churn Status: The target variable indicating whether a customer left.
🔄 Data Preprocessing:
- Dealt with missing values. ✅
- Converted categorical data into numbers for better analysis. 🔢
📈 Key Insights:
- Senior Citizens and Short-Tenure Customers are at Risk: Senior citizens and customers with a tenure of less than a year tend to churn the most. 🎯
- Service Features Matter: Customers lacking services like Online Security or Tech Support are more likely to churn. This is a golden opportunity to promote or bundle these features. 📦
- Price Sensitivity: Customers with higher monthly charges tend to churn more often. This points to dissatisfaction with pricing or perceived value. 💸
💡 Recommendations:
- Supercharge Your Service Offerings: Bundle and promote value-added services like Online Security and Tech Support to keep customers hooked. 🛡️
- Personalized Retention for Senior Citizens and New Customers: Launch loyalty programs or personalized retention strategies for these vulnerable groups. 🎁
- Reassess Pricing Strategy: To curb churn among high-paying customers, consider offering loyalty discounts or more flexible pricing models. 💡
📊 The Full Report Awaits:
For the detailed analysis and all the juicy insights, head over to the full report:
👉 Click here to access the dataset and codes 📈