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Customer Retention Analysis

Tools used in this project
Customer Retention Analysis

About this project

This Project was my second task in my virtual internship at PWC, the task is to analyze Customer retention data. The dataset contains 7,043 customers during the second quarter of 2022, each row in the dataset represents one customer and contains details about their demographics, account information, subscription services, and the status for the quarter (stayed, or churned).

Data Collection: The dataset was gotten from PWC.

Key Insights:

*The total number of customers is 7, 043 from which 1,869 customers left leaving the company with 5, 174 customers.

*90.90% of the customers that subscribe to the phone service are churning. So phone service offer is a top complaint that needs to be resolved in other to cut down churn risk.

*A high number of customers (2,365) pay with Electronic checks and about 50% of them churned which means there’s a need to find out what is wrong with the Electronic check mode of payment and have it fixed.

*Most of the revenue is coming from the month-to-month contract type (3,875 customers).

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