Referrals
Corey HainesCommunityCreated by Corey Haines
- Skill
- Guidelines
- Business and productivity
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a comprehensive framework for building viral growth through referral and affiliate marketing. It guides users through the strategic design of referral loops, incentive structures, and affiliate management, while emphasizing the importance of product-led virality. It covers the entire lifecycle from identifying trigger moments and selecting the right tools to measuring program health and preventing fraud.
What it does
- Helps design customer referral and partner affiliate programs.
- Provides frameworks for incentive structures and reward sizing.
- Offers guidance on identifying high-intent trigger moments for referrals.
- Includes a launch checklist and email templates for program promotion.
- Outlines strategies for program optimization and A/B testing.
- Provides best practices for affiliate recruitment and enablement.
When to use it
- When you want to incentivize existing users to refer new customers.
- When you need to build or scale an affiliate or partner program.
- When you want to improve word-of-mouth or viral growth metrics.
- When you need to manage reviews or reputation campaigns.
- When you are evaluating tools for referral or affiliate tracking.
Advantages
- Provides a structured approach to distinguish between referral and affiliate strategies.
- Focuses on product-embedded virality to reduce reliance on paid incentives.
- Includes actionable templates for outreach and program communication.
- Offers clear metrics to measure ROI and program health.
- Provides specific guidance on fraud prevention and program rules.
Usage examples
- “How do I set up a referral program for my B2C SaaS product?”
- The agent will guide you through identifying your product's shareability, choosing between single or double-sided rewards, and selecting the right trigger moments for prompts.
- “We want to start an affiliate program for our high-ticket software. Where do we begin?”
- The agent will help you define commission structures, identify potential partner types, and provide an outreach template to recruit your first affiliates.
- “Our referral conversion rate is low. How can we improve it?”
- The agent will suggest A/B tests for your landing page, incentive types, and placement of referral prompts to reduce friction and increase participation.
- “How do I handle a bad review on G2?”
- The agent will provide guidance on reputation triage and best practices for responding to reviews while adhering to platform-specific rules.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/coreyhaines31/referrals/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip referrals.zip -d .agents/skills
Documentation by Corey Haines
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
For partner recruitment/activation, cohort economics, executable terms, reconciliation, and measured incremental growth, load the operating playbook. This expands the existing affiliate branch instead of creating an overlapping skill.
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
Review Programs
Reviews are the other half of customer advocacy. For review-request programs, responding to reviews, reputation triage, and reusing testimonials with permission (G2, Capterra, Trustpilot, Google, app stores), see references/review-programs.md. Platform rules differ, so check references/review-platform-rules.md before proposing incentives or automation.
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
Files
- ATTRIBUTION.mdAdded by AutoGineer879 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md10.1 KiB
- evals/evals.json14.6 KiB
- references/affiliate-operations.md6.9 KiB
- references/affiliate-programs.md4.4 KiB
- references/program-examples.md5.8 KiB
- references/review-platform-rules.md4.4 KiB
- references/review-program-operations.md4.3 KiB
- references/review-programs.md9.4 KiB
- references/viral-mechanisms.md5.9 KiB
references/program-examples.md
Referral Program Examples
Real-world examples of successful referral programs.
Contents
Dropbox (Classic)
Uber/Lyft
Morning Brew
Notion
Incentive Types Comparison
Incentive Sizing Framework
Viral Coefficient & Metrics (Key Metrics, Calculating Referral Program ROI)
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
Incentive Types Comparison
| 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
Keep the incentive inside the total acquisition budget:
Total Referral CAC = Total Reward Cost + Other Acquisition Cost
Max Total Reward Cost = max(0, Target CAC - Other Acquisition Cost)Use costs per newly acquired paying customer over the same cohort and period. Total reward cost includes both sides of a two-sided reward; other acquisition cost includes allocated tool, campaign, and management costs. Estimate the actual cost or foregone contribution of credits and free months consistently, rather than treating their face value as cash cost or ignoring it.
Example:
Lifetime revenue: $1,200; gross margin: 70% → lifetime gross profit: $840
Target total referral CAC: $200
Other acquisition cost per acquired customer: $40
Maximum combined reward cost: $200 - $40 = $160 (for example, $80 cash to each side)
Total referral CAC: $160 + $40 = $200
The old $640 reward would produce $680 CAC with these other costs, exceeding the $200 target. Lifetime gross profit helps assess whether the chosen acquisition budget is viable; it is not the reward budget minus target CAC. Check retention, refunds, and cash payback before committing the budget. If other costs already meet or exceed target CAC, pause or redesign the program; a zero remaining reward budget does not make an already over-budget acquisition acceptable.
For the CAC cost/cohort definition, see Stripe's CAC calculation guide.
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
Viral Coefficient & Metrics
Key Metrics
Viral coefficient (K-factor):
K = Invitations × Conversion Rate
K > 1 = Viral growth (each user brings more than 1 new user)
K < 1 = Amplified growth (referrals supplement other acquisition)Example:
Average customer sends 3 invitations
15% of invitations convert
K = 3 × 0.15 = 0.45
Referral rate:
Referral Rate = (Customers who refer) / (Total customers)Benchmarks:
Good: 10-25% of customers refer
Great: 25-50%
Exceptional: 50%+
Referrals per referrer:
Benchmarks:
Average: 1-2 referrals per referrer
Good: 2-5
Exceptional: 5+
Calculating Referral Program ROI
Referral program return = (Incremental contribution before program costs - Program costs) / Program costs
Contribution before program costs = Net referred revenue - Serving / product costs
Program costs = Reward economic cost + Allocated tool / campaign costs + Management hours × Loaded hourly costUse the same cohort and observation window for revenue and costs. Net revenue accounts for refunds and discounts; serving/product costs include the costs needed to deliver the referred customer's purchase. Value credits consistently and avoid subtracting a discount in both net revenue and reward cost. Report the ratio as a percentage when multiplying by 100. With zero program cost the ratio is undefined; report contribution and costs separately.
Illustrative margin check: $10,000 net referred revenue at 20% contribution margin yields $2,000 contribution before program costs. With $3,000 program cost, return is ($2,000 - $3,000) / $3,000 = −33.3%, despite a revenue-minus-program-cost ratio of +233.3%. Revenue is not profit; see Google's ROI explanation.
Referral attribution does not prove all referred sales are incremental. Estimate the counterfactual with a suitable holdout or other defensible design. If you only have attributed sales, label the result attributed contribution return, state the incrementality assumption, and do not claim causal program ROI. Separate observed cash recovery from projected lifetime contribution.
Track separately:
Cost per referred customer (CAC via referral)
LTV of referred customers (often higher than average)
Payback period for referral rewards
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- Corey Haines
- Publisher
- Corey Haines (Community)
- Source
- coreyhaines31/marketingskills · skills/referrals · commit 96798cf
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Corey Haines or Corey Haines.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download referrals.zip