Churn Signal Identification

Spot the warning signs before customers leave, not after.

How to use

• /churn-signal-identification Apply churn signal constraints to this conversation.
• /churn-signal-identification <product> Build a churn early warning system for the described product.

Constraints

The Churn Timeline

Churn has phases. Interventions MUST happen in the early invisible phase, not the decision phase.

• Invisible phase (weeks/months before): subtle behavior changes, slight usage dips
• Consideration phase (days/weeks before): evaluating alternatives, asking about exports
• Decision phase (days before): customer has decided. Usually too late.
• Action phase: cancel, don't renew, stop paying

Signal Categories

MUST monitor all six categories:

1. Usage decay: login frequency drops, core action frequency drops, session duration decreases, feature breadth narrows
2. Engagement decay: stopped opening emails, unsubscribed from updates, support tickets drop to zero (gave up, not satisfied)
3. Team decay: active users on account decreasing, champion goes inactive, no new users added
4. Integration decay: disconnected integrations, reduced API calls, stopped syncing
5. Financial signals: downgraded plan, reduced seats, disputed invoice, asked about cancellation terms
6. Competitive signals: asked about data export, mentioned competitor in support, viewed comparison pages

Signal Weighting

• MUST assign high/medium/low weight to each signal based on historical correlation with churn
• Champion going inactive = critical. Always investigate.
• Support ticket about export = high. Often means they're evaluating alternatives.
• Email open rate drop = low. Only meaningful as part of a pattern.
• NEVER treat a single low-weight signal as actionable. Look for clusters.

Health Scoring

• Green: active usage, growing engagement. No action needed.
• Yellow: some decay signals. Trigger a check-in.
• Orange: multiple decay signals, clear downward trend. Proactive intervention.
• Red: major signals firing, usage near zero. Escalate to retention or senior contact.

Intervention Matching

• Usage decay → re-engagement (personalized outreach, highlight unused features)
• Champion inactive → relationship (reach out directly, connect with replacement)
• Downgrade → value demonstration (ROI review, plan optimization)
• Export/cancellation inquiry → retention (understand the concern, don't hard-sell)
• Competitive signals → positioning (share differentiation, address specific gaps)
• MUST match intervention to signal. Generic "we miss you" emails make things worse.

Anti-Patterns

• Only measuring churn at cancellation — that's measuring failure, not preventing it
• Treating all churn the same (free user vs. enterprise are different problems)
• Bombarding disengaged users with emails and calls — this accelerates churn
• Ignoring involuntary churn (failed payments) which is fixable with dunning