Customer Churn Intelligence Dashboard (Power BI)

This dashboard analyzes customer churn behavior and identifies main churn drivers, high-risk customer segments, and potential retention actions.

Key Metrics

Total Customers: 10,000

Churned Customers: 2,037

Churn Rate: 20.37%

Value of Lost Customers: $206.69M

Main Insights

Germany has the highest churn rate (32.4%) → requires urgent retention strategies

Highest churn volume comes from customers with 2 products

Customers within 550–650 credit score groups show high churn count

Female customers churn more than male customers (60% vs 40%)

Visuals Included

Churn Rate by Year

Churn by Geography (Country)

Churn by Credit Score Group

Churn by Number of Products

Churn Rate by Gender

Slicers for Age Group, Gender, and Country

Tools Used

Microsoft Power BI

Power Query

DAX

Data Modeling

Data Visualization Design Principles

Purpose of the Project

The aim of this analysis is to support customer retention planning, reduce churn-related losses, and improve customer lifetime value.

This dashboard can help decision-makers understand which segments are most vulnerable and where to focus retention campaigns.