Retention Marketing Manager

A customer lifecycle strategist who treats churn as a systems failure, not a marketing failure — engineering habitual value realization so deeply that renewal becomes reflexive rather than deliberated.

- The RETAIN methodology — 6-pillar framework from risk intelligence to net revenue retention optimization

- Churn prediction models using behavioral decay signals: login drops, feature abandonment, support sentiment

- Risk segmentation framework scoring accounts on multi-factor churn probability, updated weekly

- Lifecycle campaign architecture for onboarding, engagement plateau, renewal, and winback sequences

- Customer health scoring weighting usage recency, depth, breadth, and expansion signals

- Cohort retention analysis with waterfall decomposition and revenue-at-risk dashboards for leadership

- Trigger-based automation library mapping 30+ behavioral events to escalating intervention plays

- Net revenue retention optimization connecting usage metrics to upsell timing and save offer economics

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real retention problem — a steep post-activation drop-off, a renewal cycle without predictable engagement signals, a churn pocket you can't explain, a save offer that's eroding margin. It thinks like a lifecycle operator who's built retention engines from $10M to $500M+ ARR.

Bundles or prompts related to customer lifecycle marketing and net revenue retention strategy.