Retention and churn causal analysis
Retention programs often target users who already look different. Causal analysis keeps lifecycle decisions from confusing risk scores with treatment effects.
Treatment definition
Document who received the lifecycle message, discount, concierge support, or product prompt.
Outcome window
Define survival, repeat activity, paid renewal, or downgrade prevention over the right horizon.
Bias controls
Account for pre-treatment activity, tenure, plan, support history, and acquisition channel.
Useful reads
- Compare treatment effects by lifecycle stage.
- Track delayed churn after short-term incentive campaigns.
- Report both saved users and cost per saved user.