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marketingskills/skills/referral-program/references/program-examples.md
Corey Haines c29ee7e6db Optimize skill files for AI agent use with progressive disclosure
- Fix marketplace.json: add 2 missing skills (content-strategy, product-marketing-context)
- Refactor 10 skills over 500 lines to use references/ folders:
  - email-sequence: 926 → 291 lines
  - social-content: 809 → 276 lines
  - competitor-alternatives: 750 → 253 lines
  - pricing-strategy: 712 → 226 lines
  - programmatic-seo: 628 → 235 lines
  - referral-program: 604 → 239 lines
  - schema-markup: 598 → 175 lines
  - free-tool-strategy: 576 → 176 lines
  - paywall-upgrade-cro: 572 → 224 lines
  - marketing-ideas: 566 → 165 lines

Each skill now has core workflow in SKILL.md (<500 lines) with detailed
content in references/ folder for progressive disclosure.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-26 16:39:45 -08:00

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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