referral-program

# Referral Program Production-grade referral and affiliate program framework covering the 4-stage referral loop, incentive design methodology, trigger moment optimization, share mechanics, viral coefficient modeling, affiliate program architecture, and systematic optimization playbook. Designed to build programs that compound, not collect dust. ## Core Capabilities - **Program type & loop design** — referral vs affiliate decision, plus the 4-stage loop (trigger → share → convert → reward) - **Incentive design** — single- vs double-sided, reward types, tiered gamification, reward economics against LTV/CAC - **Trigger & share mechanics** — in-product and email trigger points, share channel priority, first-person share copy - **Referred-user experience** — referral landing page, attribution rules, program copy set (prompts, emails, dashboards) - **Growth math** — K-factor modeling, revenue impact models, and lever-by-lever K improvement - **Affiliate framework** — commission models, tier systems, partner toolkit, recruitment - **Optimization** — diagnose-before-optimize playbook, metric benchmarks, troubleshooting, and three Python tools ## When to Use - The user asks to "design a referral program", "launch an affiliate program", or "improve viral growth" - The decision between customer referral vs affiliate program needs to be made - An existing referral program has stalled (K-factor <1, low share rate, low referred-user conversion) - Reward structure needs sizing against ...