01Calculates incentive sizing based on Customer Lifetime Value (LTV) and target CAC
02Identifies optimal trigger moments for referral prompts within the user journey
03Designs double-sided reward structures to maximize conversion and win-win framing
04Provides viral coefficient (K-factor) modeling and growth forecasting benchmarks
05Optimizes sharing mechanisms and referral landing page experiences for higher conversion
060 GitHub stars