Partner churn is invisible until it's irreversible. By the time you notice a partner has stopped sending traffic or is promoting competitors, months of revenue are gone and the relationship is already dead. "Our top partner in the region went from high performer to barely active over a few months. We didn't notice until it was too late." "Partner stopped logging into the dashboard weeks ago. No one flagged it. Now they're promoting a competitor." "We have thousands of active partners. I manage hundreds personally. How do I know which ones need attention this week?" "Partner submitted multiple support tickets about commission discrepancies. No one connected the dots. A few months later, they churned." The core issue: relationship managers are reactive, not proactive. They only notice problems when partners explicitly complain or when performance has already collapsed. Silent disengagement goes undetected.
AI Partner Churn Prediction & Early Warning System
How might we build an AI system that predicts which partners are at risk of leaving, identifies why they're disengaging, and alerts relationship managers before it's too late?
Updates
Leave feedback in the comments!
Log in or sign up for Devpost to join the conversation.