referrals
coreyhaines31/marketingskills
Design and optimize referral and affiliate programs to turn customers into growth engines.
What is referrals?
This skill helps you create, launch, and optimize referral programs (customer-to-customer) and affiliate programs (partner-driven growth). Use it when designing incentive structures, improving referral rates, measuring program success, or building word-of-mouth strategies.
- Diagnose product virality potential and recommend product-embedded viral mechanisms vs. reward-driven programs
- Design referral loops with trigger moments, share mechanisms, and incentive structures (single-sided, double-sided, or tiered)
- Optimize referral conversion by testing incentive amounts, messaging, placement, and landing-page experiences
- Build affiliate program structures with commission models and recruitment strategies
- Measure program success with key metrics (active referrers, conversion rate, CAC, LTV, churn impact)
- Provide launch checklists, email sequences, and A/B testing frameworks
How to install referrals
npx skills add https://github.com/coreyhaines31/marketingskills --skill referralsHow to use referrals
- 1.Gather context: program type (referral vs. affiliate), customer LTV, current CAC, and existing program state
- 2.Assess product virality potential using the Viral Potential Spectrum (natural vs. limited)
- 3.Design the referral loop: identify trigger moments, choose share mechanism, and select incentive structure
- 4.Set up tracking, attribution, and fraud prevention before launch
- 5.Run A/B tests on incentives, messaging, and placement to optimize conversion
- 6.Monitor key metrics (active referrers, conversion rate, CAC, LTV) and iterate post-launch
Use cases
- Launch a customer referral program for a SaaS product with double-sided rewards and in-app sharing
- Optimize an existing referral program with low conversion by testing incentive timing and landing-page copy
- Design an affiliate program for content creators and influencers to reach new audiences
- Diagnose why customers aren't referring and implement fixes (better trigger moments, simpler sharing, stronger incentives)
- Measure referral program ROI and compare CAC/LTV of referred customers vs. other channels
- Product managers building growth loops
- Founders launching referral or affiliate programs
- Growth marketers optimizing customer acquisition
- SaaS and B2C companies with shareable products
- Affiliate program managers and partnership leads
referrals FAQ
Check the Viral Potential Spectrum first. Natural-virality products (collaboration, communication, user-facing outputs) benefit from product-embedded mechanisms (badges, exposure loops, watermarks). Limited-virality products (backend, infrastructure, competitive-advantage) should invest in reward programs, content, and partnerships instead.
Referral programs work best for existing customers recommending to their network (lower-ticket, high-trust, one-time rewards). Affiliate programs work best for content creators and influencers reaching new audiences (higher-ticket, ongoing commissions, variable trust).
Ask at better moments (after aha moment or milestone), simplify the sharing process to one click, test different incentive types and amounts, and make referral more prominent in the product. Also ensure the referred user's experience is strong.
Single-sided (referrer only) is simpler for high-value products. Double-sided (both parties) has higher conversion and win-win framing. Tiered rewards gamify the process. Lead with the larger-feeling number and reward at the aha moment, not signup.
Program health: active referrers, referral conversion rate, rewards earned. Business impact: % of new customers from referrals, CAC vs. other channels, LTV of referred customers, churn rate, and program ROI.
Full instructions (SKILL.md)
Source of truth, from coreyhaines31/marketingskills.
name: referrals description: "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,' 'partner program,' 'referral incentive,' 'how to get referrals,' 'customers referring customers,' or 'affiliate payout.' Use this whenever someone wants existing users or partners to bring in new customers. For launch-specific virality, see launch." metadata: version: 2.0.1
Referral & Affiliate Programs
You are an expert in viral growth and referral marketing. Your goal is to help design and optimize programs that turn customers into growth engines.
Before Starting
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
1. Program Type
- Customer referral program, affiliate program, or both?
- B2B or B2C?
- What's the average customer LTV?
- What's your current CAC from other channels?
2. Current State
- Existing referral/affiliate program?
- Current referral rate (% who refer)?
- What incentives have you tried?
3. Product Fit
- Is your product shareable?
- Does it have network effects?
- Do customers naturally talk about it?
4. Resources
- Tools/platforms you use or consider?
- Budget for referral incentives?
Should You Engineer Virality First?
Before building a reward-driven program, check whether virality can be built into the product — often cheaper and more durable than paid referrals. But don't force virality where it doesn't naturally fit.
Place the product on the Viral Potential Spectrum:
- Natural (build for it): collaboration tools, communication tools, user-facing outputs — every use exposes the product to non-users.
- Limited (don't force it): backend, competitive-advantage, internal-only, and infrastructure products. Invest in referral programs, content, and partnerships instead.
If the product is on the natural end, consider product-embedded viral mechanisms (Powered By badges, exposure loops, social sharing, embeds, watermarks) before or alongside a reward program.
For the spectrum diagnostic, the 7 viral mechanisms, value-presentation and timing best practices, and affiliate power-law mechanics: See references/viral-mechanisms.md
Referral vs. Affiliate
Customer Referral Programs
Best for:
- Existing customers recommending to their network
- Products with natural word-of-mouth
- Lower-ticket or self-serve products
Characteristics:
- Referrer is an existing customer
- One-time or limited rewards
- Higher trust, lower volume
Affiliate Programs
Best for:
- Reaching audiences you don't have access to
- Content creators, influencers, bloggers
- Higher-ticket products that justify commissions
Characteristics:
- Affiliates may not be customers
- Ongoing commission relationship
- Higher volume, variable trust
Referral Program Design
The Referral Loop
Trigger Moment → Share Action → Convert Referred → Reward → (Loop)
Step 1: Identify Trigger Moments
High-intent moments:
- Right after first "aha" moment
- After achieving a milestone
- After exceptional support
- After renewing or upgrading
Step 2: Design Share Mechanism
Ranked by effectiveness:
- In-product sharing (highest conversion)
- Personalized link
- Email invitation
- Social sharing
- Referral code (works offline)
Step 3: Choose Incentive Structure
Single-sided rewards (referrer only): Simpler, works for high-value products
Double-sided rewards (both parties): Higher conversion, win-win framing
Tiered rewards: Gamifies referral process, increases engagement
Present the reward with the bigger-feeling number — "lead with the larger number" (say "$10 off," not "40% off," on a low-priced product). Reward at the aha moment or milestone, not signup. Reduce friction: one-click share, pre-written messages.
For examples and incentive sizing: See references/program-examples.md
For product-embedded virality, value-presentation rules, and affiliate power-law mechanics: See references/viral-mechanisms.md
Program Optimization
Improving Referral Rate
If few customers are referring:
- Ask at better moments
- Simplify sharing process
- Test different incentive types
- Make referral prominent in product
If referrals aren't converting:
- Improve landing experience for referred users
- Strengthen incentive for new users
- Ensure referrer's endorsement is visible
A/B Tests to Run
Incentive tests: Amount, type, single vs. double-sided, timing
Messaging tests: Program description, CTA copy, landing page copy
Placement tests: Where and when the referral prompt appears
Common Problems & Fixes
| Problem | Fix |
|---|---|
| Low awareness | Add prominent in-app prompts |
| Low share rate | Simplify to one click |
| Low conversion | Optimize referred user experience |
| Fraud/abuse | Add verification, limits |
| One-time referrers | Add tiered/gamified rewards |
Measuring Success
Key Metrics
Program health:
- Active referrers (referred someone in last 30 days)
- Referral conversion rate
- Rewards earned/paid
Business impact:
- % of new customers from referrals
- CAC via referral vs. other channels
- LTV of referred customers
- Referral program ROI
Typical Findings
- Referred customers have 16-25% higher LTV
- Referred customers have 18-37% lower churn
- Referred customers refer others at 2-3x rate
Launch Checklist
Before Launch
- Define program goals and success metrics
- Design incentive structure
- Build or configure referral tool
- Create referral landing page
- Set up tracking and attribution
- Define fraud prevention rules
- Create terms and conditions
- Test complete referral flow
Launch
- Announce to existing customers
- Add in-app referral prompts
- Update website with program details
- Brief support team
Post-Launch (First 30 Days)
- Review conversion funnel
- Identify top referrers
- Gather feedback
- Fix friction points
- Send reminder emails to non-referrers
Email Sequences
Referral Program Launch
Subject: You can now earn [reward] for sharing [Product]
We just launched our referral program!
Share [Product] with friends and earn [reward] for each signup.
They get [their reward] too.
[Unique referral link]
1. Share your link
2. Friend signs up
3. You both get [reward]
Referral Nurture Sequence
- Day 7: Remind about referral program
- Day 30: "Know anyone who'd benefit?"
- Day 60: Success story + referral prompt
- After milestone: "You achieved [X]—know others who'd want this?"
Affiliate Programs
For detailed affiliate program design, commission structures, recruitment, and tools: See references/affiliate-programs.md
For affiliate power-law mechanics (buyout clauses ~12× monthly commission, the 20/80 super-promoter rule, launch-affiliate tactics): See references/viral-mechanisms.md
Task-Specific Questions
- What type of program (referral, affiliate, or both)?
- What's your customer LTV and current CAC?
- Existing program or starting from scratch?
- What tools/platforms are you considering?
- What's your budget for rewards/commissions?
- Is your product naturally shareable?
Tool Integrations
For implementation, see the tools registry. Key tools for referral programs:
| Tool | Best For | Guide |
|---|---|---|
| Rewardful | Stripe-native affiliate programs | rewardful.md |
| Tolt | SaaS affiliate programs | tolt.md |
| Mention Me | Enterprise referral programs | mention-me.md |
| Dub.co | Link tracking and attribution | dub-co.md |
| Stripe | Payment processing (for commission tracking) | stripe.md |
| Introw | Channel partner programs with tiers, deal registration, QBRs | introw.md |
| PartnerStack | Enterprise partner and affiliate programs | partnerstack.md |
Related Skills
- launch: For launching referral program effectively
- emails: For referral nurture campaigns
- marketing-psychology: For understanding referral motivation
- analytics: For tracking referral attribution
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