Customer Churn Analysis in Power BI
This project uses Power BI Desktop and Excel to help businesses prevent customer loss and improve customer service.
📌 Predictive Churn Modeling: Identify at-risk customers before they churn, enabling proactive interventions and retention strategies.
📌 Customer Segmentation: Group customers based on shared characteristics and churn risk, allowing for targeted marketing and engagement efforts.
- Power BI Desktop
- Excel
- Reduce customer loss: Identify and help customers at risk to keep them longer.
- Improve customer satisfaction: Understand customer needs better for better service.
- Make data-driven decisions: Use insights to make better choices for keeping customers happy.
Beyond the Dashboard: Communication for Impact
Besides making great dashboards, I also help clients understand the data and make smart decisions with it. By sending clear emails,
I:
- Shared important findings: Summarized data nicely focusing on what matters.
- Tailored messages: Adjusted my language to match the client's knowledge level.
- Suggested actions: Gave specific advice on what to do next.
Get Started:
- Get the project files.
- Open the Customer Churn Dashboard.pbix & Customer Risk Analysis Dashboard.pbix in Power BI Desktop.
- Connect to your data source.
- Start improving customer retention!
Use data insights and Power BI dashboards to keep customers happy and engaged. Note: This version highlights the project's benefits for businesses and includes a clear call to action.
