Referral Program

This walks you through building a referral program for SaaS or AI products, from reward structures to fraud prevention. It covers the usual suspects like two-way rewards, link versus code tracking, and where to place the share button (dashboard, not landing page). The benchmark data is helpful: referrals convert at 3-5% versus 1-2% for ads, and referred users stick around 20-30% longer. What's nice is it doesn't just push third-party tools like Cello or Viral Loops. It gives you the self-build option with open source references and explains when each makes sense. Good for early stage teams deciding between a quick MVP or a full system.

skills.sh installs: 1.1K
GitHub stars: 1.1K
last updated: Aug 21, 2026

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Install

$ npx -y skills add kostja94/marketing-skills --skill referral-program --agent claude-code

Installs into .claude/skills of the current project.

Files

Channels: Referral

Guides referral program strategy for AI/SaaS products. Leverage existing users to drive growth; 3%-5% conversion vs 1%-2% for ads; CAC 50%-70% lower; referred users LTV 30%-50% higher, retention 20%-30% higher. Referral is necessity in overseas markets, not alternative.

When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Initial Assessment

Project context: Read root {project}.md when present and load only the modules relevant to this task. Without Contextus, use available project material or user-provided facts and ask for missing information; do not create a parallel context system.

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