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, incent
Documentation
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:
- In-product sharing — Highest conversion, feels native
- Personalized link — Easy to track, works everywhere
- Email invitation — Direct, personal, higher intent
- Social sharing — Broadest reach, lowest conversion
- 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: $20
Quick Info
- Source
- antigravity
- Category
- Creative & Media
- Repository
- View Repo
- Scraped At
- Jan 26, 2026
Tags
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