Churn Analysis-bank customer

Tools used in this project
Churn Analysis-bank customer

Customer Churn Dashboard

About this project


Customer churn analysis for bank customers is a project focused on understanding and predicting the behavior of customers who discontinue their relationship with a bank. The goal is to provide actionable insights that enable the bank to reduce churn rates and enhance customer retention, leading to increased profitability and customer satisfaction.

Key Insights

  1. Female customers have a higher rate of churn compared to male customers. Female customers comprised 45% of total customers, whereas they contributed 55% to churn.
  2. It is obvious that an inactive customer has a higher chance of churning compared to an active customer. There are 48% inactive customers, contributing 63% to churn.
  3. Germany has a higher rate of churn compared to others. Germany has 25% of the total customer base, with a 39% churn contribution.
  4. On the other side, France has 50% of total customers and a 39% churn contribution, i.e., the churn rate in France is lower compared to other countries.
  5. There is no role for credit cards in churn.
  6. There is a very high rate (40%) of churning among the age group 41–60. Churn rates in other groups are close to the average churn rate.
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