How to use
Provide accurate LTV and CAC numbers so the incentive recommendations are properly calibrated. If you don't know exact figures, provide estimates and the AI will note the assumptions. Review the anti-fraud measures against your specific platform's technical capabilities.
Example output
PROGRAM STRUCTURE: Two-sided reward. Referrer gets 1 month free ($20 credit) for each successful referral; referee gets 50% off first 3 months. Trigger: referee must complete onboarding and create at least 10 notes within 14 days.
INCENTIVE JUSTIFICATION: With $480 LTV and $85 CAC, offering $20 referrer credit + ~$30 referee discount ($50 total) is well below CAC while feeling generous. Target referral program CAC: $50, a 41% improvement.
ANTI-FRAUD: Email domain matching to block corporate self-referral, IP fingerprinting, minimum activity threshold before reward triggers, referral cap of 10 per month, manual review for accounts with 5+ referrals.
KPIs: Referral participation rate (target: 8% of active users), referral conversion rate (target: 25%), referred user 30-day retention (target: 70%), program CAC vs. paid CAC ratio, viral coefficient (target: 0.15).