Survey Churned Users → Generate Insights → Create Retention Experiments
Automatically send exit surveys to churned users, analyze responses with AI, and generate data-driven retention experiment ideas.
Workflow Steps
RevenueCat
Identify subscription cancellations
Set up webhook notifications for subscription cancellation events. Capture user ID, subscription tier, cancellation date, and total subscription duration to understand churn patterns.
Typeform
Send automated exit survey
Trigger a personalized exit survey within 24 hours of cancellation. Ask about primary cancellation reason, missing features, pricing concerns, and likelihood to return. Use logic jumps based on responses.
Zapier
Aggregate survey responses
Collect completed Typeform responses and compile them into a Google Sheet with user metadata from RevenueCat. Set up automated weekly summaries of new responses.
ChatGPT
Generate retention experiment ideas
Process batched survey data through GPT-4 to identify top churn reasons and generate specific retention experiment proposals. Include A/B test hypotheses, success metrics, and implementation difficulty estimates.
Notion
Create experiment backlog
Populate a Notion database with AI-generated experiment ideas, complete with priority scores based on frequency of related complaints and estimated impact on retention metrics.
Workflow Flow
Step 1
RevenueCat
Identify subscription cancellations
Step 2
Typeform
Send automated exit survey
Step 3
Zapier
Aggregate survey responses
Step 4
ChatGPT
Generate retention experiment ideas
Step 5
Notion
Create experiment backlog
Why This Works
Creates a continuous feedback loop from churned users to product improvements, directly addressing the retention sustainability challenge that AI apps face post-launch.
Best For
AI app teams needing systematic approach to understand and reduce churn
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