When Customers Churn at Renewal: Was It the Price or the Project?

1. 1Collect data on customer churn events
2. 2Apply causal attribution models to identify drivers of churn
3. 3Compare the impact of price and project factors on churn rates
4. 4Analyze customer feedback and behavioral data to validate findings
5. 5Refine pricing and product strategies based on insights from causal analysis

Data scientists and analysts can use this guide to improve customer retention by identifying the root causes of churn, while product managers can apply these insights to inform pricing and product development strategies

💡 Causal analysis can help distinguish between price and project-related churn, enabling targeted interventions

Identify the real reasons behind customer churn using causal attribution #customerretention #datascience