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coreyhaines31/referrals

coreyhaines31

referrals

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.

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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?

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:

  1. In-product sharing (highest conversion)
  2. Personalized link
  3. Email invitation
  4. Social sharing
  5. 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

For examples and incentive sizing: See references/program-examples.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


Task-Specific Questions

  1. What type of program (referral, affiliate, or both)?
  2. What's your customer LTV and current CAC?
  3. Existing program or starting from scratch?
  4. What tools/platforms are you considering?
  5. What's your budget for rewards/commissions?
  6. 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

  • 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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Overall Score

87/100

Grade

A

Excellent

Safety

90

Quality

88

Clarity

85

Completeness

82

Summary

A comprehensive referral and affiliate program design skill that guides agents through building, optimizing, and measuring customer and partner-driven growth programs. The skill covers program design fundamentals, incentive structures, optimization techniques, measurement frameworks, and tool integrations—applicable to both B2C referral and B2B affiliate scenarios.

Detected Capabilities

read product-marketing context filesprovide program design guidancecreate email templatesdefine metrics and measurement frameworksrecommend third-party tools and integrationsstructure A/B tests and experiments

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

design referral programoptimize referral participationaffiliate vs referralreferral incentive structuremeasure referral successbuild affiliate programreferral program launch

Use Cases

  • Design a customer referral program for a B2C SaaS product with double-sided incentives
  • Optimize an underperforming referral program by diagnosing low participation and testing improvements
  • Choose between a customer referral program vs. affiliate program based on business model and goals
  • Build an affiliate program for course creators, digital products, or B2B services with appropriate commission structures
  • Measure referral program success with key metrics, benchmarks, and ROI calculations
  • Create referral-triggered email sequences and launch communications

Quality Notes

  • Excellent contextual awareness: instructs agent to check for product-marketing.md before starting, avoiding redundant questions
  • Clear taxonomic distinction between referral programs (existing customers) and affiliate programs (third-party promoters) prevents category confusion
  • Well-structured information hierarchy with clear decision trees: 'referral vs affiliate', 'trigger moments', 'incentive types', 'optimization tactics'
  • Strong practical examples: Dropbox, Uber, Morning Brew, Notion—explain why each works, making patterns transferable
  • Actionable frameworks: incentive sizing calculation, viral coefficient formula, ROI formula enable agents to provide numeric guidance
  • Comprehensive launch checklist and post-launch workflow prevents incomplete rollouts
  • Supporting references (program-examples.md, affiliate-programs.md) are well-organized and present in the directory
  • Evals.json provides clear test cases that validate the skill's core use cases and nuance handling
  • Cross-references to related skills (launch, emails, analytics) show awareness of skill boundaries
  • Edge cases addressed: low referral participation diagnosis, fraud prevention, one-time referrers, timing optimization
Model: claude-haiku-4-5-20251001Analyzed: May 15, 2026

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