Design referral loops with CAC-bound economics and value-triggered sharing.
npx skills add https://github.com/hungv47/meta-skills --skill design-referral
Please help me install this Agent Skill. Skill: design-referral Source: https://github.com/hungv47/meta-skills/tree/main/skills/marketing/design-referral Command: npx skills add https://github.com/hungv47/meta-skills --skill design-referral
This design-skill helps product teams architect viral and referral loops that are measured by K-factor and bounded by CAC economics, guarding against abuse and churn risk.
Choose a loop type, identify the value moment, and validate K-factor math against retention and CAC targets.
High-intent search queries and answers about installing and using this skill.
To design a referral loop with CAC-bound economics, you select a loop architecture, identify the value-triggered share moment, and validate K-factor math against your retention and CAC targets. This ensures your viral growth remains profitable.
The K-factor formula for viral growth uses explicit i and c inputs, representing invitations sent per user and conversion rate respectively. Modeling this with cycle time calculates how rapidly your user base multiplies through the referral loop.
You choose between single-sided, double-sided, collaborative-native, or milestone referral incentives based on your product's value-triggered share moment. The loop architecture selection balances user motivation against CPAU, CAC displacement, and payback horizon constraints.
You calculate CPAU vs CAC for a viral campaign by applying incentive economics governance to your referral loop. This tracks cost per active user against customer acquisition cost to establish a clear payback horizon for your growth initiatives.
Fraud guards for a referral program are integrated into the loop design as protective guardrails against abuse and churn risk. They monitor incentive distribution to prevent exploitation while maintaining the value-triggered share mechanics.
You can apply viral loop math to products with existing retention by architecting a value-triggered ask within the current user experience. The K-factor modeling and CAC economics validate if the referral mechanics will generate sustainable growth.
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