Playing whack-a-mole with churn instead of preventing it with early warning signals
Expansion conversations that happen too late because you can't see usage patterns across accounts
Health scores that don't actually predict churn because they're missing key behavioral data
Renewal forecasts based on gut feel instead of leading indicators from product usage
Identify at-risk accounts weeks before they churn by combining usage, support, and engagement data
Spot expansion opportunities by tracking feature adoption and user growth within accounts
Build predictive health scores that combine product usage, support tickets, and engagement metrics
Create automated alerts for key account milestones and risk indicators
Scale your CS team by focusing high-touch efforts on accounts that need (and will respond to) intervention
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