referral-program

Design and optimize referral and affiliate programs using LTV, CAC, and conversion inputs.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/Veloxia-agency/VELOXIA-WEB --skill referral-program-veloxia-agency
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: referral-program
Source: https://github.com/Veloxia-agency/VELOXIA-WEB/tree/main/.claude/skills/marketing-skill/skills/referral-program
Command: npx skills add https://github.com/Veloxia-agency/VELOXIA-WEB --skill referral-program-veloxia-agency

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you design, launch, and optimize referral and affiliate programs that turn satisfied customers and partners into a reliable acquisition channel.

Core Features & Use Cases

  • Program Design: Build the full referral loop, choose between customer referrals and affiliate programs, and define the right trigger moments and share mechanics.
  • Incentive Optimization: Evaluate single-sided versus double-sided rewards, size incentives against LTV and CAC, and tune tiers for better participation.
  • Measurement and Diagnosis: Track awareness, active referrers, conversion, redemption, CAC, and K-factor to identify where the loop breaks and what to fix.
  • Use Case: A SaaS team can use this Skill to launch a customer referral program after product activation, measure referral economics, and improve conversion with a personalized landing page and clearer rewards.

Quick Start

Ask the Skill to design or audit your referral program using your product, customer, LTV, CAC, and current referral metrics.

Frequently Asked Questions about referral-program

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a referral program that lowers CAC and drives viral growth?

To design a referral program that lowers CAC, you must map the full referral loop, define trigger moments after product activation, and size double-sided rewards against your LTV and CAC to ensure incentives drive profitable acquisition.

What is the difference between customer referral systems and affiliate programs for B2B SaaS?

Customer referral systems leverage existing users with single or double-sided rewards, while affiliate programs recruit dedicated partners. Choosing depends on your LTV, CAC, and whether you need viral growth loops or structured partner recruitment.

How do I audit an existing referral program to find where the growth loop breaks?

Auditing a referral program requires tracking awareness, active referrers, conversion, and redemption rates. By modeling these inputs against your CAC and K-factor, you identify exactly where the growth loop breaks to optimize incentive tuning.

What metrics do I need to model referral program ROI for incentive optimization?

Modeling referral program ROI requires LTV, CAC, conversion rates, reward costs, and attribution data. These inputs allow you to benchmark performance, evaluate single-sided versus double-sided incentives, and tune tiers for better participation.

When should I use single-sided versus double-sided rewards in affiliate marketing?

Use single-sided rewards when referrers are highly motivated and CAC is tight, but switch to double-sided rewards when conversion needs a push. Evaluate both against your LTV and CAC to determine the most effective incentive design for your affiliate marketing.

Can I use this approach for partner recruitment in consumer apps and B2B contexts?

Yes, this approach applies to partner recruitment across SaaS, consumer, and B2B contexts. It helps structure affiliate launches, define share mechanics, and optimize trigger timing to build growth loops regardless of your specific market.