Can this skill help calculate referral rewards?

Yes, it provides formulas to calculate maximum rewards based on Customer LTV, gross margin, and target CAC to ensure your program remains profitable.

Does it support both B2B and B2C models?

Absolutely, it includes specific strategies for both customer-focused referral programs and professional affiliate/partner networks.

What metrics does this skill help track?

It focuses on key performance indicators like the viral coefficient (K-factor), referral rate, and the conversion efficiency of referred leads.

How does it help with viral growth?

It helps you design 'viral loops' where the share action and reward cycle are baked into the product experience, aiming for a K-factor close to or above 1.

Referral & Affiliate Program Designer

Name: Referral & Affiliate Program Designer
Author: kimny1143

bykimny1143

Marketing Automation

Designs and optimizes viral growth loops, referral programs, and affiliate incentive structures to turn customers into brand advocates.

About

This skill empowers Claude to act as a growth marketing expert, providing structured guidance for building effective referral and affiliate programs. It covers everything from identifying the ideal 'aha' moment for triggers to calculating maximum incentive sizes based on Customer LTV and gross margin. Whether you're launching a B2B partner program or a B2C viral loop, this skill offers best practices for reward structures, sharing mechanisms, and performance metrics like the viral coefficient (K-factor).

Key Features

Calculates incentive sizing based on Customer Lifetime Value (LTV) and target CAC
Identifies optimal trigger moments for referral prompts within the user journey
Designs double-sided reward structures to maximize conversion and win-win framing
Provides viral coefficient (K-factor) modeling and growth forecasting benchmarks
Optimizes sharing mechanisms and referral landing page experiences for higher conversion
0 GitHub stars

Use Cases

Designing a 'Refer-a-Friend' feature for a SaaS or subscription-based platform
Setting up an affiliate partner program for content creators and influencers
Troubleshooting and optimizing low conversion rates in an existing referral loop

About

Key Features

Calculates incentive sizing based on Customer Lifetime Value (LTV) and target CAC
Identifies optimal trigger moments for referral prompts within the user journey
Designs double-sided reward structures to maximize conversion and win-win framing
Provides viral coefficient (K-factor) modeling and growth forecasting benchmarks
Optimizes sharing mechanisms and referral landing page experiences for higher conversion
0 GitHub stars

Use Cases

Designing a 'Refer-a-Friend' feature for a SaaS or subscription-based platform
Setting up an affiliate partner program for content creators and influencers
Troubleshooting and optimizing low conversion rates in an existing referral loop