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
By coreyhaines31 · 55,161 installs
npx skills add coreyhaines31/marketingskills --skill referrals
Source repository · Upstream listing
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](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
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
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](references/program examples.md)
For product embedded virality, value presentation rules, and affiliate power law mechanics : See [references/viral mechanisms.md](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
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](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](references/viral mechanisms.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](../../tools/REGISTRY.md). Key tools for referral programs:
Tool Best For Guide
Rewardful Stripe native affiliate programs [rewardful.md](../../tools/integrations/rewardful.md)
Tolt SaaS affiliate programs [tolt.md](../../tools/integrations/tolt.md)
Mention Me Enterprise referral programs [mention me.md](../../tools/integrations/mention me.md)
Dub.co Link tracking and attribution [dub co.md](../../tools/integrations/dub co.md)
Stripe Payment processing (for commission tracking) [stripe.md](../../tools/integrations/stripe.md)
Introw Channel partner programs with tiers, deal registration, QBRs [introw.md](../../tools/integrations/introw.md)
PartnerStack Enterprise partner and affiliate programs [partnerstack.md](../../tools/integrations/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