Structures high-converting referral and affiliate programs through data-driven payout modeling and tier design.
The Referral Incentive Design skill empowers Go-To-Market (GTM) teams and developers to architect robust reward systems for referral and affiliate programs directly within Claude Code. It provides specialized logic for aligning incentives with business objectives, modeling customer acquisition costs (CAC) versus lifetime value (LTV), and ensuring regulatory compliance across different regions. By utilizing established frameworks for payout tiers, clawback rules, and experimentation guardrails, this skill streamlines the creation of sustainable, performance-oriented growth loops.
Key Features
0129 GitHub stars
02Multi-tiered payout architecture design
03Compliance and regulatory check integration
04LTV/CAC economic impact modeling
05Experimental A/B testing frameworks for incentives
06Customizable reward matrix templates
Use Cases
01Recalibrating affiliate commission structures to improve lead quality and ROI.
02Launching a new B2B SaaS referral program with tiered credit rewards.
03Adapting existing reward programs for international expansion and regional tax compliance.
