Churn Reason Analyzer

Any free-text cancellation reasons. Common sources include Stripe cancellation reasons, exit survey responses, support ticket notes, CRM churn reason fields, and spreadsheet exports. Separate each reason with a new line or comma. The tool handles up to 500 reasons per analysis.

The analyzer uses AI to read each cancellation reason and classify it into categories like Pricing, Product/Features, Support/Service, Competition, No Longer Needed, Onboarding, and Other. It goes beyond simple keyword matching to understand context and nuance in free-text responses.

No. Your cancellation reasons are sent to the AI for analysis and the results are returned to your browser. The data is not stored, logged, or used for training. The analysis happens in a single request and is not retained.

One-word responses like 'price' or 'features' tell you the category of the problem but not the specific issue. Knowing that 40% of churn is 'pricing' does not tell you whether it is too expensive overall, missing a cheaper tier, or not delivering enough value for the price. Detailed responses enable action.

You can analyze as few as 5 reasons, but patterns become more reliable with 30+ responses. For statistically meaningful trends, aim for 50-100+ reasons. The tool works best with raw, unedited customer language rather than pre-categorized data.

Start with the top category. If pricing is your leading reason, dig deeper: is it absolute cost, perceived value, or competitive pricing? The pattern detection highlights specific themes to investigate. Use the results to prioritize product changes, adjust pricing, or improve onboarding.

Manual categorization is time-consuming and inconsistent. Different team members categorize the same response differently. AI provides consistent categorization at scale, detects patterns humans miss, and identifies the percentage of low-quality responses that need deeper follow-up.