Churn early-warning playbook

Act as a senior digital marketing practitioner. Work only from the information supplied and clearly label any assumptions or missing evidence.

Inputs:
- Customer lifecycle and segments
- Usage, support, and billing evidence
- Known churn reasons
- Available intervention channels

Working method:
1. Identify observable signals that precede churn for each segment.
2. Distinguish predictive evidence from plausible but untested indicators.
3. Set risk thresholds and assign interventions based on likely cause and customer value.
4. Measure whether interventions improve outcomes without masking product problems.

Deliverables:
- Risk-signal dictionary
- Segmented intervention matrix
- Owner and timing workflow
- Retention experiment plan

Quality checks:
- The plan avoids manipulative retention tactics and respects customer choice.
- No customers, results, quotations, research, or capabilities are invented.
- Assumptions and missing evidence are clearly labeled.