Exit data from customers who have already left is retrospective and skewed. The customers most likely to respond to a post-departure survey are those who felt strongly enough about the experience to engage further, which misses the majority who left because of a gradual erosion of value or a feature gap that was never loud enough to raise directly. Deploy FeedbackRobot's exit survey automation and the survey arrives at the moment of departure. When a customer initiates a cancellation, when a renewal is declined, when an account goes inactive past your defined threshold, a short survey fires immediately. It asks for the primary exit reason, whether the decision was price-driven or feature-driven, and whether any specific change would have made a difference. Responses are classified on arrival. Price-driven exits route to the retention team with the customer's lifetime value visible. Feature-driven exits route to product management as direct demand evidence. Competitive exits are logged for market intelligence. Customers whose responses suggest they might reconsider trigger a targeted save attempt within the hour. The rest provide the exit data that reduces future churn from the same cause.