New skills (14): - nestjs-best-practices: 40 priority-ranked rules (kadajett) - fastapi: Pydantic v2, async SQLAlchemy, JWT auth (jezweb) - architecture-patterns: Clean Architecture, Hexagonal, DDD (wshobson) - python-performance-optimization: Profiling and optimization (wshobson) - ai-sdk: Vercel AI SDK streaming and agent patterns (vercel) - create-agent: Modular agent architecture with OpenRouter (openrouterteam) - proactive-agent: WAL Protocol, compaction recovery, self-improvement (halthelobster) - brand-guidelines: Brand identity enforcement (anthropics) - ui-animation: Motion design with accessibility (mblode) - marketing-ideas: 139 ideas across 14 categories (coreyhaines31) - pricing-strategy: SaaS pricing and tier design (coreyhaines31) - programmatic-seo: SEO at scale with playbooks (coreyhaines31) - competitor-alternatives: Comparison page architecture (coreyhaines31) - referral-program: Referral and affiliate programs (coreyhaines31) README reorganized by domain: Code Quality, Frontend, Backend, Auth, AI/Agent Building, Marketing, Design, Meta. Mosaic Stack is not limited to coding — the Orchestrator serves coding, business, design, marketing, writing, logistics, and analysis. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Referral Program Examples
Real-world examples of successful referral programs.
Dropbox (Classic)
Program: Give 500MB storage, get 500MB storage
Why it worked:
- Reward directly tied to product value
- Low friction (just an email)
- Both parties benefit equally
- Gamified with progress tracking
Uber/Lyft
Program: Give $10 ride credit, get $10 when they ride
Why it worked:
- Immediate, clear value
- Double-sided incentive
- Easy to share (code/link)
- Triggered at natural moments
Morning Brew
Program: Tiered rewards for subscriber referrals
- 3 referrals: Newsletter stickers
- 5 referrals: T-shirt
- 10 referrals: Mug
- 25 referrals: Hoodie
Why it worked:
- Gamification drives ongoing engagement
- Physical rewards are shareable (more referrals)
- Low cost relative to subscriber value
- Built status/identity
Notion
Program: $10 credit per referral (education)
Why it worked:
- Targeted high-sharing audience (students)
- Product naturally spreads in teams
- Credit keeps users engaged
Incentive Types Comparison
| Type | Pros | Cons | Best For |
|---|---|---|---|
| Cash/credit | Universally valued | Feels transactional | Marketplaces, fintech |
| Product credit | Drives usage | Only valuable if they'll use it | SaaS, subscriptions |
| Free months | Clear value | May attract freebie-seekers | Subscription products |
| Feature unlock | Low cost to you | Only works for gated features | Freemium products |
| Swag/gifts | Memorable, shareable | Logistics complexity | Brand-focused companies |
| Charity donation | Feel-good | Lower personal motivation | Mission-driven brands |
Incentive Sizing Framework
Calculate your maximum incentive:
Max Referral Reward = (Customer LTV × Gross Margin) - Target CAC
Example:
- LTV: $1,200
- Gross margin: 70%
- Target CAC: $200
- Max reward: ($1,200 × 0.70) - $200 = $640
Typical referral rewards:
- B2C: $10-50 or 10-25% of first purchase
- B2B SaaS: $50-500 or 1-3 months free
- Enterprise: Higher, often custom
Viral Coefficient & Metrics
Key Metrics
Viral coefficient (K-factor):
K = Invitations × Conversion Rate
K > 1 = Viral growth (each user brings more than 1 new user)
K < 1 = Amplified growth (referrals supplement other acquisition)
Example:
- Average customer sends 3 invitations
- 15% of invitations convert
- K = 3 × 0.15 = 0.45
Referral rate:
Referral Rate = (Customers who refer) / (Total customers)
Benchmarks:
- Good: 10-25% of customers refer
- Great: 25-50%
- Exceptional: 50%+
Referrals per referrer:
Benchmarks:
- Average: 1-2 referrals per referrer
- Good: 2-5
- Exceptional: 5+
Calculating Referral Program ROI
Referral Program ROI = (Revenue from referred customers - Program costs) / Program costs
Program costs = Rewards paid + Tool costs + Management time
Track separately:
- Cost per referred customer (CAC via referral)
- LTV of referred customers (often higher than average)
- Payback period for referral rewards