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Health monitor helps you detect risky customer behavior early, apply fixes faster, and measure outcomes like users recovered and revenue protected.

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What it does

  • Surfaces health risk trends from signup, purchase, and activity signals
  • Highlights segments that need intervention
  • Connects each issue to a recommended action path
  • Tracks impact after action

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Core health metrics

Use these metrics as your baseline operational view:
  • Revenue at risk
  • At-risk users percentage
  • Failed payment impact
  • Re-engagement recovery rate
  • Dormancy trend (30/60/90 days)
  • Activation rate
  • Time to first value
  • Active user health trend
  • Trial-to-paid conversion quality

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Action loop

Health monitor is most useful when your team follows a repeatable loop:
  1. Detect issue: identify high-risk cohorts and trend changes.
  2. Diagnose cause: check lifecycle tags, activity drops, and payment outcomes.
  3. Choose fix: use a recommended workflow path.
  4. Execute safely: approve and launch intervention.
  5. Measure result: track saved users and protected revenue.

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Required inputs

To keep health metrics reliable, make sure these inputs are active:
  • Event ingestion for signup, purchase, and core_activity
  • Tag updates for health-related states
  • Workflow execution and outcome tracking
  • Basic account settings (timezone, sending windows, limits)
Common health interventions are mapped to predefined workflows. Start with:
  • Low usage alerts
  • Re-engagement reminders
  • Final attempt win-back
  • Satisfaction and check-in workflows
See the workflow library here:

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Operational best practices

  • Review health metrics on a fixed cadence (daily or weekly)
  • Prioritize cohorts by potential revenue impact
  • Keep intervention windows short and measurable
  • Compare outcomes before and after each intervention cycle