1. Define Dashboard Goals

For a Customer Churn dashboard, the objective is to analyze customer retention and predict churn behavior:

• What percentage of customers are leaving over time?

• Which segments have the highest churn rates?

• What factors contribute to churn (e.g., pricing, engagement, service)?

• How does churn correlate with customer lifetime value?

• What interventions could reduce churn?

2. Data Wrangling

Customer subscription and engagement data are combined and cleaned to identify churn patterns.
Using statistical and predictive models, we segment customers by behavior and visualize churn probabilities.
The resulting insights help businesses anticipate cancellations and design retention strategies.

3. Communicate Insights

The churn analysis is communicated using intuitive visuals that show churn rates, customer segments at risk, and key contributing factors.
Storytelling techniques and focused visuals help business teams grasp complex patterns quickly and focus on what matters most — retention.

4. Enable Action & Ongoing Improvement

Insights drive targeted retention campaigns, product adjustments, and personalized communication for high-risk customers.
Periodic model updates and refreshed data allow the business to track the impact of retention initiatives and continuously reduce churn.