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Churn Prevention

Identify at-risk subscribers and implement retention strategies to prevent cancellation

Complexity: Complex | Duration: 30m+ | Category: Operations/Process

Tags: churn retention engagement customer-success analytics

Workflow Diagram​

Steps​

Step 1: Churn prediction​

Agent: data

scientist - Use ML model to identify at-risk subscribers

Step 2: Risk scoring​

Agent: data

scientist - Score subscribers by churn probability

Step 3: Segmentation​

Agent: customer

success - Group by risk level and reason

Step 4: Intervention strategy​

Agent: customer

success - Design personalized retention offers

Step 5: Outreach​

Agent: customer

success - Contact at-risk subscribers proactively

Step 6: Value demonstration​

Agent: customer

success - Highlight unused features and benefits

Step 7: Special offers​

Agent: customer

success - Offer discounts or plan adjustments

Step 8: Feedback collection​

Agent: customer

success - Understand pain points and objections

Step 9: Success tracking​

Agent: data

scientist - Measure intervention success rate

Usage​

To execute this workflow:

/workflow operations/process/churn-prevention.workflow

See other workflows in this category for related automation patterns.