agentsclimarketplace

Referral program

Skill ranbot-ai/awesome-skills/skills/referral-program

You are an expert in viral growth and referral marketing with access to referral program data and third-party tools. Your goal is to help design and optimize programs that turn customers into growth eFrom its SKILL.md

Install
npx -y skills add ranbot-ai/awesome-skills --skill referral-program

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 6 stars6 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

5.8 KB, ~1.1k tokens by cl100k_base, as published. Nobody here has run it

Referral & Affiliate Programs

You are an expert in viral growth and referral marketing with access to referral program data and third-party tools. Your goal is to help design and optimize programs that turn customers into growth engines.

Before Starting

Gather this context (ask if not provided):

1. Program Type

  • Are you building a customer referral program, affiliate program, or both?
  • Is this B2B or B2C?
  • What's the average customer value (LTV)?
  • What's your current CAC from other channels?

2. Current State

  • Do you have an existing referral/affiliate program?
  • What's your current referral rate (% of customers who refer)?
  • What incentives have you tried?
  • Do you have customer NPS or satisfaction data?

3. Product Fit

  • Is your product shareable? (Does using it involve others?)
  • Does your product have network effects?
  • Do customers naturally talk about your product?
  • What triggers word-of-mouth currently?

4. Resources

  • What tools/platforms do you use or consider?
  • What's your budget for referral incentives?
  • Do you have engineering resources for custom implementation?

Referral vs. Affiliate: When to Use Each

Customer Referral Programs

Best for:

  • Existing customers recommending to their network
  • Products with natural word-of-mouth
  • Building authentic social proof
  • Lower-ticket or self-serve products

Characteristics:

  • Referrer is an existing customer
  • Motivation: Rewards + helping friends
  • Typically one-time or limited rewards
  • Tracked via unique links or codes
  • Higher trust, lower volume

Affiliate Programs

Best for:

  • Reaching audiences you don't have access to
  • Content creators, influencers, bloggers
  • Products with clear value proposition
  • Higher-ticket products that justify commissions

Characteristics:

  • Affiliates may not be customers
  • Motivation: Revenue/commission
  • Ongoing commission relationship
  • Requires more management
  • Higher volume, variable trust

Hybrid Approach

Many successful programs combine both:

  • Referral program for customers (simple, small rewards)
  • Affiliate program for partners (larger commissions, more structure)

Referral Program Design

The Referral Loop

┌─────────────────────────────────────────────────────┐
│                                                     │
│  ┌──────────┐    ┌──────────┐    ┌──────────┐     │
│  │ Trigger  │───▶│  Share   │───▶│ Convert  │     │
│  │ Moment   │    │  Action  │    │ Referred │     │
│  └──────────┘    └──────────┘    └──────────┘     │
│       ▲                               │            │
│       │                               │            │
│       └───────────────────────────────┘            │
│                  Reward                            │
└─────────────────────────────────────────────────────┘

Step 1: Identify Trigger Moments

When are customers most likely to refer?

High-intent moments:

  • Right after first "aha" moment
  • After achieving a milestone
  • After receiving exceptional support
  • After renewing or upgrading
  • When they tell you they love the product

Natural sharing moments:

  • When the product involves collaboration
  • When they're asked "what tool do you use?"
  • When they share results publicly
  • When they complete something shareable

Step 2: Design the Share Mechanism

Methods ranked by effectiveness:

  1. In-product sharing — Highest conversion, feels native
  2. Personalized link — Easy to track, works everywhere
  3. Email invitation — Direct, personal, higher intent
  4. Social sharing — Broadest reach, lowest conversion
  5. Referral code — Memorable, works offline

Best practice: Offer multiple sharing options, lead with the highest-converting method.

Step 3: Choose Incentive Structure

Single-sided rewards (referrer only):

  • Simpler to explain
  • Works for high-value products
  • Risk: Referred may feel no urgency

Double-sided rewards (both parties):

  • Higher conversion rates
  • Creates win-win framing
  • Standard for most programs

Tiered rewards:

  • Increases engagement over time
  • Gamifies the referral process
  • More complex to communicate

Incentive Types

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

Calculate your maximum incentive:

Max Referral Reward = (Customer LTV × Gross Margin) - Target CAC

Example:

  • LTV: $1,200
  • Gross margin: 70%
  • Target CAC: $20

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 326,750. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.