referral-program

Installation
SKILL.md

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

Installs
81
GitHub Stars
436
First Seen
Mar 10, 2026
referral-program — borghei/claude-skills