Churn data collected manually or from billing system reports tells you how many customers left and when. It does not tell you why, which is the only version of churn data that can actually be acted on. A business that knows its monthly churn rate is 4% knows it has a retention problem. A business that knows 60% of that churn is driven by a specific missing integration and 25% is driven by customers finding a cheaper alternative knows exactly where to invest to move that number. Deploy FeedbackRobot's churn survey automation and exit reasons are captured at the moment they are most accurate. When a subscription cancels, when a customer account goes inactive, when a renewal is declined, a brief survey fires through the appropriate channel. The responses are classified by churn reason and routed accordingly. Price-driven churn routes to your retention team with the customer's account value visible. Feature-driven churn routes to product management tagged with the specific feature mentioned. The aggregate churn reason data over 90 days creates the roadmap for retention investment. Not informed guessing about what might reduce churn, but direct exit evidence from the customers who actually left.