referral-program

Design referral programs and viral growth loops. Use when asked to create referral systems, viral mechanics, word-of-mouth campaigns, or growth loops. Trigger phrases: "referral program", "viral loop", "refer a friend", "word of mouth", "viral coefficient", "referral incentive", "growth loop", "invi

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npx skills add openclaudia/openclaudia-skills --skill referral-program

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Referral Program Design Design effective referral programs and viral loops that drive sustainable growth. 1. Referral Program Frameworks One Sided Incentives Only the referrer gets rewarded. Best for: Products with strong organic word of mouth Low friction signups where the referred user needs no extra motivation Cost sensitive businesses Examples: Uber: "$10 credit for every friend you refer" Amazon Associates: Commission on referred purchases Template: Two Sided Incentives Both referrer and referred user get rewarded. Best for: Products requiring activation effort from new users Competitive markets where new users need a nudge Subscription businesses Examples: Dropbox: Both get 500MB extra storage Airbnb: Referrer gets $25 credit, friend gets $40 off first stay PayPal: Both get $10 when friend makes first transaction Template: Tiered Incentives Rewards increase with number of successful referrals. Example tier structure: Referrals Reward 1 Free month 3 Exclusive feature unlock 5 Premium plan for 3 months 10 Lifetime premium access 25 Cash payout or swag box Best for: Creating power referrers / ambassadors Products with passionate user bases Building a referral leaderboard culture 2. Viral Coefficient Calculation The viral coefficient (K factor) determines whether your referral loop is self sustaining. Formula Example Calculation Viral Cycle Time The speed of the viral loop matters as much as K: How to Improve K Lever Action Increase invites (i) Make sharing frictionless, prompt at key moments Increase conversion (c) Better landing page, stronger incentive, social proof Reduce cycle time Instant reward delivery, real time notifications 3. Referral Channels Email Referral Pros: High conversion, personal, trackable Cons: Lower volume, requires email access Template: Social Media Sharing Pros: High reach, low effort, viral potential Cons: Lower conversion rate, less personal Platform specific templates: Twitter/X: LinkedIn: WhatsApp/SMS: In App Referral Pros: Highest intent, contextual, frictionless Cons: Only reaches existing users Best practices: Show referral prompt after a success moment (completed task, achievement, positive outcome) Pre populate sharing message Show referral progress and rewards earned Add referral widget to account/settings page Unique Link vs. Referral Code Method Pros Cons Unique link Frictionless, works in any channel Harder to share verbally Referral code Easy to remember, shareable verbally Extra step at signup Both Maximum flexibility More complex to implement 4. Referral Landing Page Template The page a referred user sees when they click the referral link. Structure 5. Case Studies Dropbox (2008 2010) Mechanic: Two sided both get 500MB extra storage Result: 3,900% growth in 15 months (100K to 4M users) Key insight: The reward (storage) was the product itself, making it self reinforcing Viral coefficient: Estimated ~0.6 0.7 (supplemental, not purely viral) Airbnb (2014) Mechanic: Two sided $25 travel credit for referrer, $40 off first booking for friend Result: 300% increase in bookings from referral program 2.0 Key insight: Redesigned referral page to feel like a gift, not spam. Personalized with referrer's photo and travel history Viral coefficient: Low K but high LTV per referred user PayPal (1999 2000) Mechanic: Two sided $20 per referral (later reduced to $10, then $5) Result: 7 10% daily growth, reaching 1M users in first year Key insight: Cash incentive drove massive initial growth, then reduced as network effects kicked in Cost: $60 70M in referral bonuses, but each user was worth much more in LTV Robinhood (2014 2015) Mechanic: Wait list with move up the line incentive + free stock for referrals Result: 1M waitlist signups before launch Key insight: Scarcity (waitlist) + social proof (your position) + tangible reward (free stock) 6. Implementation Checklist Technical Setup [ ] Generate unique referral links/codes per user [ ] Build referral tracking (link clicks, signups, activations, rewards) [ ] Set up attribution window (how long after click does signup count?) [ ] Implement fraud detection (self referral, fake accounts, VPN abuse) [ ] Build reward fulfillment (automatic credit, manual approval, or hybrid) [ ] Create referral dashboard for users (invites sent, pending, completed, rewards earned) Fraud Prevention [ ] Block self referrals (same IP, same device, same email domain) [ ] Require activation action before reward (not just signup) [ ] Set daily/weekly referral limits per user [ ] Flag suspicious patterns (bulk signups from same IP range) [ ] Implement clawback for fraudulent referrals Program Design Decisions Decision Options Reward type Cash, credit, product features, swag, charity donation Reward timing On signup, on activation, on first purchase Reward amount Test multiple amounts; higher is not always better Expiration Referral links expire after X days? Rewards expire? Limit Max referrals per user per month? Eligibility All users or only paid/active users? 7. Referral Email Sequences Invite Reminder (to existing users) Referred User Welcome Referral Success Notification 8. Measuring Success Key Metrics Metric Formula Good Benchmark Participation rate Users who share / total users 15 25% Shares per user Total shares / participating users 3 5 Click through rate Link clicks / shares 20 40% Conversion rate Signups / link clicks 10 25% Viral coefficient (K) Invites conversion rate 0.3 0.7 typical Viral cycle time Avg days from invite to new user's first invite 1 7 days Referral revenue Revenue from referred users Track separately CAC via referral Reward cost / acquired users Compare to paid CAC A/B Tests to Run 1. Reward amount ($10 vs $20 vs $50) 2. Reward type (credit vs cash vs feature unlock) 3. One sided vs two sided incentive 4. Referral prompt timing (after signup vs after first success) 5. Landing page copy (gift framing vs deal framing) 6. Email subject lines for referral invites 7. Social sharing copy variations