🔍 In this Power BI Customer Churn and Revenue Forecast tutorial, you’ll learn how to build a complete churn analysis and forecasting model from scratch. This step-by-step walkthrough shows how to analyse customer retention, model churn behaviour and forecast future revenue using DAX, structured data modeling and interactive dashboards.
*Learn More:*
To access the full blog post and download the complete Power BI dashboard, including all DAX measures and the data source used in this video, visit:
*Content and Timestamps:*
00:00 Introduction and Overview of the Customer Churn & Forecast Dashboard. Explore the complete Power BI solution, including churn analysis, cohort tracking and revenue forecasting, and understand how the full model fits together.
01:38 Loading Data, Data Model and DAX Setup. Import the dataset, build the data model, create the Calendar table and add custom DAX columns to support churn and retention analysis.
11:42 Base DAX Measures for Customer Churn and Retention. Develop core DAX measures to analyse customer churn, retention rates and active customer metrics.
17:15 Visualising Customer Retention with a Cohort Heatmap. Build a cohort-based retention heatmap and analyse churn behaviour across customer groups over time.
21:43 Customer Growth, Parameters and Revenue Forecasting. Implement parameters and DAX measures to model customer growth, churn rates and forecast future revenue.
28:18 Sensitivity Analysis, Recap and Final Dashboard Walkthrough. Test different scenarios using what-if analysis, review key assumptions and walk through the completed dashboard.
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*Questions:*
Disclaimer: This video is provided for general informational and educational purposes only and is not a substitute for professional advice. Microsoft, Microsoft Excel and Power BI are trademarks of the Microsoft group of companies.