Performing churn analysis involves the following steps: Step 1: Data Collection - Gather relevant customer data, including customer IDs, signup dates, churn dates, usage behavior, and any other relevant attributes.
Step 2: Define Churn - Decide on the criteria for identifying churned customers. For example, customers who have not used the service in the last 30 days could be considered churned.
Step 3: Calculate Churn Rate - Use the formula: Churn Rate = (Number of churned customers / Total number of customers) x 100. Compute the churn rate for the chosen time period.
Step 4: Segment Data - Analyze churn rate across different customer segments to identify patterns or differences. This could involve segmenting by location, subscription plan, or any other relevant attribute.
Step 5: Root Cause Analysis - Investigate the reasons behind churn by looking for commonalities among churned customers. Customer feedback, surveys, and customer support interactions can provide valuable insights.
Step 6: Implement Improvements - Based on the findings, develop strategies to reduce churn. This might involve improving product features, enhancing customer support, offering incentives, or implementing loyalty programs.
Step 7: Monitor Progress - Continuously track churn rate over time to evaluate the effectiveness of the implemented strategies. Adjust the approach as needed to maintain a low churn rate and improve customer retention. Regular churn analysis helps businesses stay proactive and responsive to changing customer needs and preferences.