What is the Referral Systems Framework skill?

It is a specialized capability for Claude that provides a structured, multi-step process for designing, launching, and optimizing customer referral programs to drive organic, sustainable growth.

Does this skill help with technical implementation?

Yes, it provides guidance on technical infrastructure including unique referral codes, multi-touch attribution, cookie-based tracking, and fraud prevention rules like velocity limits and device fingerprinting.

When is the best time to implement a referral program?

According to the framework, you should implement a program after validating product-market fit (40%+ user disappointment test) and ensuring strong retention (60%+ monthly), as referrals amplify existing satisfaction.

What kind of incentives does the framework recommend?

It emphasizes two-sided incentives (rewarding both referrer and referee) sized at 40-60% of your current Customer Acquisition Cost (CAC) to reduce social friction and maximize conversion.

Referral Systems Framework

Name: Referral Systems Framework
Author: lev-os

bylev-os

0•

Marketing Automation

Designs and optimizes high-conversion customer referral programs using proven growth hacking principles and double-sided incentive structures.

The Referral Systems Framework provides a comprehensive methodology for transforming satisfied customers into an organic acquisition engine. It guides users through calculating optimal incentives (40-60% of CAC), identifying peak satisfaction moments for referral triggers, and implementing technical tracking to prevent fraud. Based on proven growth strategies used by companies like Dropbox and Uber, this skill helps reduce Customer Acquisition Cost (CAC) while increasing Lifetime Value (LTV) through systematic, AI-optimized referral loops that capitalize on validated product-market fit.

Key Features

01Friction reduction strategies for mobile-first, one-click sharing

02Double-sided incentive calculation and reward tiering (Standard, Tiered, Gamified)

03Behavioral timing optimization based on customer journey mapping

04Technical tracking, multi-touch attribution, and fraud prevention protocols

0590-day phased launch roadmap with continuous optimization metrics

060 GitHub stars

Use Cases

01Designing incentive structures for B2B SaaS, E-commerce, or subscription products

02Scaling organic customer acquisition to reduce dependency on rising paid ad costs

03Implementing robust technical tracking and fraud detection for viral growth loops

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lev-os/agents referral-systems

For use in Claude.ai and ChatGPT

Download Skill