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referral-program

pmN/AIntermediateClaude
🤖 AI Summary

This agent analyzes referral program data and uses third-party tools to design, launch, and optimize viral marketing campaigns that convert existing customers into active promoters.

How to Install

This skill comes from a community source.

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

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

Calculate your maximum incentive:

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

Example: - LTV: $1,200 - Gross margin: 70% - Target CAC: $2

Details

Category Business → pm
Sourcecommunity
SKILL.mdView on GitHub →
Repo StarsN/A
Est. per SkillN/A (shared across 1230 skills from this repo)
DifficultyIntermediate
Risk LevelN/A

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Works Well With

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