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Referrals

Corey HainesCommunityCreated by Corey Haines

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  • Business and productivity
  • MIT
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From the author

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,' 'affiliate payout,' 'get more reviews,' 'G2 reviews,' 'review campaign,' or 'respond to a bad review.' Use this whenever someone wants existing users or partners to bring in new customers. For launch-specific virality, see launch.
— the description by Corey Haines

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

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/coreyhaines31/referrals/download
  2. Unzip 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:

  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

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
ProblemFix
Low awarenessAdd prominent in-app prompts
Low share rateSimplify to one click
Low conversionOptimize referred user experience
Fraud/abuseAdd verification, limits
One-time referrersAdd 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

  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:

ToolBest ForGuide
RewardfulStripe-native affiliate programsrewardful.md
ToltSaaS affiliate programstolt.md
Mention MeEnterprise referral programsmention-me.md
Dub.coLink tracking and attributiondub-co.md
StripePayment processing (for commission tracking)stripe.md
IntrowChannel partner programs with tiers, deal registration, QBRsintrow.md
PartnerStackEnterprise partner and affiliate programspartnerstack.md

  • launch: For launching referral program effectively

  • emails: For referral nurture campaigns

  • marketing-psychology: For understanding referral motivation

  • analytics: For tracking referral attribution

Files

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

TypeProsConsBest For
Cash/creditUniversally valuedFeels transactionalMarketplaces, fintech
Product creditDrives usageOnly valuable if they'll use itSaaS, subscriptions
Free monthsClear valueMay attract freebie-seekersSubscription products
Feature unlockLow cost to youOnly works for gated featuresFreemium products
Swag/giftsMemorable, shareableLogistics complexityBrand-focused companies
Charity donationFeel-goodLower personal motivationMission-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 cost

Use 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.

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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)
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