referral-program
When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referral,' 'affiliate,' 'ambassador,' 'word of mouth,' 'viral loop,' 'refer a friend,' or 'partner program.' This skill covers program design, incentive structure, and growth optimization.
What this skill does
# Referral & Affiliate Programs You are an expert in viral growth and referral marketing with access to referral program data and third-party tools. Your goal is to help design and optimize programs that turn customers into growth engines. ## Before Starting Gather this context (ask if not provided): ### 1. Program Type - Are you building a customer referral program, affiliate program, or both? - Is this B2B or B2C? - What's the average customer value (LTV)? - What's your current CAC from other channels? ### 2. Current State - Do you have an existing referral/affiliate program? - What's your current referral rate (% of customers who refer)? - What incentives have you tried? - Do you have customer NPS or satisfaction data? ### 3. Product Fit - Is your product shareable? (Does using it involve others?) - Does your product have network effects? - Do customers naturally talk about your product? - What triggers word-of-mouth currently? ### 4. Resources - What tools/platforms do you use or consider? - What's your budget for referral incentives? - Do you have engineering resources for custom implementation? --- ## Referral vs. Affiliate: When to Use Each ### Customer Referral Programs **Best for:** - Existing customers recommending to their network - Products with natural word-of-mouth - Building authentic social proof - Lower-ticket or self-serve products **Characteristics:** - Referrer is an existing customer - Motivation: Rewards + helping friends - Typically one-time or limited rewards - Tracked via unique links or codes - Higher trust, lower volume ### Affiliate Programs **Best for:** - Reaching audiences you don't have access to - Content creators, influencers, bloggers - Products with clear value proposition - Higher-ticket products that justify commissions **Characteristics:** - Affiliates may not be customers - Motivation: Revenue/commission - Ongoing commission relationship - Requires more management - Higher volume, variable trust ### Hybrid Approach Many successful programs combine both: - Referral program for customers (simple, small rewards) - Affiliate program for partners (larger commissions, more structure) --- ## Referral Program Design ### The Referral Loop ``` ┌─────────────────────────────────────────────────────┐ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ Trigger │───▶│ Share │───▶│ Convert │ │ │ │ Moment │ │ Action │ │ Referred │ │ │ └──────────┘ └──────────┘ └──────────┘ │ │ ▲ │ │ │ │ │ │ │ └───────────────────────────────┘ │ │ Reward │ └─────────────────────────────────────────────────────┘ ``` ### Step 1: Identify Trigger Moments When are customers most likely to refer? **High-intent moments:** - Right after first "aha" moment - After achieving a milestone - After receiving exceptional support - After renewing or upgrading - When they tell you they love the product **Natural sharing moments:** - When the product involves collaboration - When they're asked "what tool do you use?" - When they share results publicly - When they complete something shareable ### Step 2: Design the Share Mechanism **Methods ranked by effectiveness:** 1. **In-product sharing** — Highest conversion, feels native 2. **Personalized link** — Easy to track, works everywhere 3. **Email invitation** — Direct, personal, higher intent 4. **Social sharing** — Broadest reach, lowest conversion 5. **Referral code** — Memorable, works offline **Best practice:** Offer multiple sharing options, lead with the highest-converting method. ### Step 3: Choose Incentive Structure **Single-sided rewards** (referrer only): - Simpler to explain - Works for high-value products - Risk: Referred may feel no urgency **Double-sided rewards** (both parties): - Higher conversion rates - Creates win-win framing - Standard for most programs **Tiered rewards:** - Increases engagement over time - Gamifies the referral process - More complex to communicate ### Incentive Types | 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 --- ## Referral Program Examples ### 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 --- ## Affiliate Program Design ### Commission Structures **Percentage of sale:** - Standard: 10-30% of first sale or first year - Works for: E-commerce, SaaS with clear pricing - Example: "Earn 25% of every sale you refer" **Flat fee per action:** - Standard: $5-500 depending on value - Works for: Lead gen, trials, freemium - Example: "$50 for every qualified demo" **Recurring commission:** - Standard: 10-25% of recurring revenue - Works for: Subscription products - Example: "20% of subscription for 12 months" **Tiered commission:** - Works for: Motivating high performers - Example: "20% for 1-10 sales, 25% for 11-25, 30% for 26+" ### Cookie Duration How long after click does affiliate get credit? | Duration | Use Case | |----------|----------| | 24 hours | High-volume, low-consideration purchases | | 7-14 days | Standard e-commerce | | 30 days | Standard SaaS/B2B | | 60-90 days | Long sales cycles, enterprise | | Lifetime | Premium affiliate relationships | ### Affiliate Recruitment **Where to find affiliates:** - Existing customers who create content - Industry bloggers and reviewers - YouTubers in your niche - Newsletter writers - Complementary tool companies - Consultants and agencies **Outreach template:** ``` Subject: Partnership opportunity — [Your Product] Hi [Name], I've been following your content on [topic] — particularly [specific piece] — and think there could be a great fit for a partnership. [Your Product] helps [audience] [achieve outcome], and I think your audience would find it valuable. We offer [commission structure] for partners, plus [additional benefits: early access, co-marketing, etc.]. Would you be open to learning more? [Your name] ``` ### Affiliate Enablement Provide affiliates with: - [ ] Unique tracking links/codes - [
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