Real Slack conversation showing how Hedra identifies at-risk customers and provides actionable retention insights.
Private channel • 15 members
Comprehensive churn intelligence that would typically require days of analysis.
Hedra automatically identified 245 at-risk customers using a machine learning model trained on historical churn patterns, usage data, and engagement signals.
Combined subscription data, usage logs, support tickets, and exit surveys to identify the root causes of churn—not just the symptoms.
Broke down churn by plan type, usage level, and time period—revealing that Starter plans have 6x higher churn than Enterprise.
Didn't stop at analysis—provided specific, prioritized actions with expected impact. Ready to implement immediately.
Total time: 6-9 hours of analyst time
With Hedra: 8 minutes, with predictive insights
Get predictive insights and actionable recommendations to retain your customers.