Skills coreyhaines31 marketingskills
referrals
- Use it when:
- You want customers or partners to bring in new customers, or need more reviews on sites such as G2.
- It does:
- Checks whether sharing can be built into the product first, then designs the referral loop: when to ask, how to share, and the reward.
- You get:
- A program design with incentives, fixes for weak spots, metrics, a launch checklist, a launch email and a schedule of reminder emails.
- Also covers:
- Affiliate and partner programs, review requests and replying to bad reviews, mostly through its references.
TL;DR
Word-of-mouth programs, from customer referrals to affiliates. Before any reward scheme it asks whether the product could spread on its own, through "Powered by" badges, shared outputs or embeds, and warns against forcing that on backend or internal tools. Customer referral programs suit products people already talk about; affiliate programs reach audiences you don't have, through partners paid ongoing commission. Program design follows a loop: pick a trigger moment such as right after the aha moment or a milestone, choose a share mechanism (in-product sharing converts best, a referral code works offline), and choose single-sided, double-sided or tiered rewards, presented as whichever number feels bigger and given at a milestone rather than at signup. It covers fixing low share or conversion rates, tests to run, fraud limits, metrics such as referred customers' lifetime value, and a 30-day launch checklist. Affiliate operations, viral mechanics, review programs and each review platform's rules live in references, and it lists tools such as Rewardful, Tolt and PartnerStack. It asks about lifetime value, acquisition cost and reward budget. It reads your product marketing context if you have it (a shared file on your product, audience and positioning that the repo's product-marketing skill writes).
Summarizes the skill at 96798cf.
npx skills add https://github.com/coreyhaines31/marketingskills --skill referrals skills.sh pageSource on GitHubAll skills from coreyhaines31/marketingskills
- Total Downloads
- 79,082 on skills.sh, Nov 9, 2026
- Repo stars
- 59,261 coreyhaines31/marketingskills
- First seen
- May 14, 2026 on skills.sh
Weekly values
| Week to | Installs |
|---|---|
| Sep 21 | 2,417 |
| Sep 28 | 2,277 |
| Oct 5 | 2,590 |
| Oct 12 | 2,951 |
| Oct 19 | 3,108 |
| Oct 26 | 3,247 |
| Nov 2 | 3,664 |
| Nov 9 | 3,446 |
| Category |
SEO, copy, conversion, social media and e-commerce. |
|---|---|
| Type |
A multi-step process the agent follows: interview, debug, run a TDD loop, review. |
| Effect |
Adds no side effects of its own. It shapes how the agent thinks, writes or reviews. Guidelines and routers are always effect:none, even when the task they support edits code. |
| Needs |
Instructions only. Works in any agent that supports skills. |
| Publisher |
Everyone else. Unverified vendor claims default to community. |
| Topics |
SKILL.md
From coreyhaines31/marketingskills at 96798cf. Checked daily, last changed Nov 6, 2026.
Frontmatter
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,' '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."
metadata:
version: 2.2.1Referral & 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