Early-Warning Model Brief
A practical brief for building or refining a predictive churn score from app analytics.
We translate audited signals into a model brief your data team can implement: feature definitions, labelling rules, evaluation windows, and operational thresholds for outreach or in-app intervention.
Included in this engagement
- Feature definitions grounded in audited app events
- Labelling scheme for churn, soft churn, and recoverable risk
- Evaluation windows that respect billing cycles and trial endings
- Threshold drafts for high-, mid-, and watch-list risk bands
- Handoff notes for analytics engineering or data science