Referral Program
Design, launch, and optimize referral and affiliate programs.
$skillfish add ~skills/referral-program Real Conversations
See how the Referral Program skill responds to actual requests. These are representative examples of what your AI agent will produce.
We run a project management SaaS for agencies, $49/seat/month. We want to launch a referral program. Our NPS is 52, we have 1,200 active users across 180 accounts. What mechanics actually work for B2B?
Referral Program Design: Agency PM SaaS
Recommended mechanic: Account credit, not cash Cash feels transactional for B2B. Account credits ($50–$100/successful referral) reduce your CAC and give the referrer skin in the game — they want the referred account to succeed.
Two-sided incentive structure:
- Referrer: $75 account credit when referred account pays first invoice
- Referee: First month free (removes friction, no upfront cost)
Who to target first: Your 180 account admins, not individual users. Admins have budget authority and agency networks. Filter by: accounts with 3+ seats AND NPS ≥ 8.
Launch sequence:
- Email top 40 accounts (highest seat count) with personal outreach from your CSM
- In-app prompt in dashboard after 3rd login of month
- Post-payment confirmation email with referral link
Tracking setup:
- Unique referral link per account (not per user)
- UTM:
ref=acct-{account_id}for attribution - Track: click → signup → paid invoice → credit issued
Realistic expectations at your scale: 15–25% of contacted accounts will share at least once; expect 8–15 qualified referrals in first 90 days.
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Skills are designed for AI coding agents (Claude Code, Cursor, Windsurf) and IDE-based workflows where the agent can read files, run scripts, and act on your codebase. Web-based AI can use the knowledge and frameworks, but won't have tool access.
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Pro tips for best results
Be specific
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Iterate
Start with a high-level design, then ask follow-ups for IaC, cost analysis, or security review.
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$skillfish add ~skills/referral-program