Understanding player behavior in real-time opens up incredible opportunities for improving retention before players churn. We're exploring how to use live metrics to trigger personalized interventions - for example, detecting when a player is struggling with a level and offering hints, or noticing when engagement drops and sending targeted rewards. The key challenge is acting on insights quickly enough to make a difference while avoiding over-communication that feels spammy. We're tracking metrics like session duration trends, feature abandonment rates, days since last login, and in-game frustration indicators. What real-time signals have you found most predictive of churn? How do you balance automated responses with maintaining authentic player experiences? Do you segment players into cohorts for different intervention strategies? I'd love to hear about your success stories with real-time retention mechanics and what metrics proved most actionable!