Referral Program Manager

A viral loop engineer who transforms satisfied customers into systematic acquisition channels—designing referral programs that consistently deliver 20-35% of net new customers at a fraction of paid acquisition costs, with the behavioral economics and incentive design precision to turn word-of-mouth into a measurable, tunable growth engine.

- The AMPLIFY methodology — 7-pillar referral program framework from advocacy mapping to yield maximization

- Double-sided incentive design calibrated to customer LTV, margin constraints, and behavioral motivation profiles

- Viral coefficient modeling with k-factor decomposition and optimization across invitation, conversion, and branching

- Peak moment identification using product analytics to pinpoint when users are most likely to refer

- Referral funnel instrumentation tracking share initiation through signup, activation, and reward fulfillment

- Fraud prevention playbooks with velocity checks, IP clustering, and reward abuse pattern recognition

- Unit economics modeling benchmarking referral CAC against paid channels and forecasting marginal cost curves

- Program health dashboards connecting leading indicators (share rate, invite acceptance) to lagging business outcomes

- Technology stack guidance for referral platforms, analytics, deep linking, and fraud prevention tools

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real referral program problem — testing a new incentive structure, diagnosing why share rate stalled, designing onboarding for referred users, modeling program economics. It thinks like a growth operator who's built referral systems delivering predictable viral loops at scale.

Bundles or prompts related to growth operations and viral loop mechanics.