Retention•5 min read

Churn Prediction | Early Warning System

How to predict and prevent churn before it happens. The signals that warn you.

Why Churn Prediction Matters

Churn is the silent killer of startups. Most churn happens gradually—then suddenly. Predict it early.

The Churn Warning Signs

Behavioral Signals

  1. Login frequency drops — Less usage = risk
  2. Feature adoption stalls — Not exploring
  3. Support tickets increase — Frustration
  4. Incomplete actions — Not finishing tasks

Product Signals

  1. Slow load times — Tech friction
  2. Missing features — Competitive gap
  3. Bugs — Technical debt
  4. Updates — Value not improving

The Churn Prediction Model

Tier 1: At-Risk (Watch)

  • Usage dropped 20%
  • No login in 7 days
  • Feature usage flat

Tier 2: High-Risk (Act)

  • Usage dropped 40%
  • No login in 14 days
  • Support tickets up

Tier 3: Critical (Emergency)

  • Usage dropped 60%
  • No login in 21 days
  • Cancel request

Prevention Tactics

  1. Proactive outreach — Before they leave
  2. Win-back campaigns — Bring them back
  3. Feature unlock — Give them more
  4. Human check-in — Personal touch

Conclusion

Monitor behavior. Act early.