Does it handle technical tracking implementation?

It provides the architecture for attribution, unique link formats, and fraud prevention measures to guide your development team through implementation.

How does this skill help with customer acquisition costs (CAC)?

It provides a detailed economics model that compares your current CAC against referral reward costs and conversion rates, ensuring your program generates a positive ROI.

Can it help me write the actual referral emails?

Yes, it includes a complete messaging library with templates for invite emails, referee landing pages, and social media share copy.

How does it measure the success of a referral program?

It utilizes the K-factor (Viral Coefficient) framework, analyzing the number of invitations sent per customer and their conversion rates to track growth health.

Referral Program Architect

Name: Referral Program Architect
Author: majesticlabs-dev

bymajesticlabs-dev

•

마케팅 자동화

Architects and optimizes viral referral systems to turn existing customers into high-performing acquisition channels.

The Referral Program Architect skill empowers teams to design data-driven referral programs modeled after successful frameworks used by industry giants like Dropbox and Airbnb. It guides users through complex incentive engineering, ROI projections based on CAC/LTV math, sharing mechanic selection, and messaging creation. By calculating K-factors and providing fraud prevention strategies, it ensures a sustainable growth engine that converts organic word-of-mouth into a measurable, scalable acquisition channel.

주요 기능

01Detailed ROI and CAC economics modeling with break-even analysis

02Phased launch roadmap including soft launch strategies and fraud prevention

03Custom incentive structure design (double-sided, tiered, or single-sided rewards)

049 GitHub stars

05Viral coefficient (K-factor) analysis to identify and fix growth bottlenecks

06High-conversion messaging templates for email, landing pages, and social media

사용 사례

01Designing a high-growth referral program for a new SaaS or e-commerce startup

02Optimizing an existing referral system to increase the viral coefficient and lower CAC

03Modeling the economic impact and ROI of potential customer incentive structures

주요 기능

01Detailed ROI and CAC economics modeling with break-even analysis

02Phased launch roadmap including soft launch strategies and fraud prevention

03Custom incentive structure design (double-sided, tiered, or single-sided rewards)

049 GitHub stars

05Viral coefficient (K-factor) analysis to identify and fix growth bottlenecks

06High-conversion messaging templates for email, landing pages, and social media

사용 사례

01Designing a high-growth referral program for a new SaaS or e-commerce startup

02Optimizing an existing referral system to increase the viral coefficient and lower CAC

03Modeling the economic impact and ROI of potential customer incentive structures