Does this skill cover growth metrics and modeling?

Absolutely. It helps you calculate the viral coefficient (K-factor), referral rates, and the overall ROI of your referral initiatives.

How does this skill help with referral program design?

It provides frameworks for identifying trigger moments, choosing reward types like credit or cash, and calculating the ideal incentive size based on your customer lifetime value (LTV).

Can it help with affiliate marketing strategies?

Yes, it includes guidance on commission structures, cookie durations, and recruitment templates to help you build and manage a professional affiliate network.

Does it provide advice on preventing referral fraud?

Yes, it outlines technical and policy-based measures such as email verification, device fingerprinting, and activity thresholds to prevent gaming the system.

Referral & Affiliate Program Growth

Name: Referral & Affiliate Program Growth
Author: coreyhaines31

bycoreyhaines31

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4,091

Marketing Automation

Designs, optimizes, and analyzes referral and affiliate programs to turn customers into a recurring growth engine.

About

This skill provides specialized domain expertise for building and scaling referral and affiliate programs. It guides users through the entire growth engineering process, from identifying high-intent trigger moments and designing double-sided incentive structures to calculating viral coefficients (K-factors) and implementing fraud prevention. Whether you are building a B2B partner network or a B2C viral loop, this skill offers the frameworks, ROI modeling, and implementation patterns needed to maximize word-of-mouth acquisition.

Key Features

Strategic design of referral loops and viral growth triggers
Fraud prevention strategies and technical implementation checklists
Viral coefficient (K-factor) and program ROI modeling
4,091 GitHub stars
Incentive modeling including double-sided and tiered reward structures
Affiliate program architecture and commission optimization

Use Cases

Designing a high-conversion 'refer-a-friend' feature for a SaaS product
Calculating the maximum sustainable referral reward based on LTV and CAC
Optimizing referral rates by identifying ideal in-product trigger moments

About

Key Features

Strategic design of referral loops and viral growth triggers
Fraud prevention strategies and technical implementation checklists
Viral coefficient (K-factor) and program ROI modeling
4,091 GitHub stars
Incentive modeling including double-sided and tiered reward structures
Affiliate program architecture and commission optimization

Use Cases

Designing a high-conversion 'refer-a-friend' feature for a SaaS product
Calculating the maximum sustainable referral reward based on LTV and CAC
Optimizing referral rates by identifying ideal in-product trigger moments