Handles the full lifecycle of building an in-app referral program, from reward structure and K-factor modeling to fraud prevention and deep link setup. It walks you through sizing rewards based on LTV and CAC, choosing between double-sided vs inviter-only mechanics, and instrumentation for measuring viral coefficient. The fit assessment section is honest about when referrals won't work (solo-use utilities, low ARPU apps). Strong on the economics and fraud vectors, which most referral guides gloss over. Pairs with attribution-setup for the deep linking infrastructure that makes deferred attribution actually work. Best for consumer apps with existing organic word-of-mouth who want to formalize and measure it.
npx skills add https://github.com/eronred/aso-skills --skill referral-program