This workflow automates the detection of in-session frustration—repeated errors, rapid page refreshes, or support portal visits—and triggers a contextual in-app message or chat offer before the session ends. The operational upside comes from intercepting churn intent when it's highest, converting at-risk users through immediate assistance, and reducing downstream support volume. Implementation requires integrating session replay tools like FullStory with product analytics and a decision engine to score live behavioral signals against historical churn patterns.




