Referral Program

by kostja948dd89c57395eNo license1K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 2 days ago

When the user wants to plan, implement, or optimize referral program strategy. Also use when the user mentions "referral program," "referral marketing," "user referral," "refer-a-friend," "word-of-mouth growth," "referral rewards," "referral tracking," "referral code," "referral incentives," or "viral loop." For referral landing copy, use landing-page-generator.

Instructions onlyMarketing & Sales
AI-generated overview

Guides referral program strategy for AI/SaaS products, covering rewards, tracking, fraud prevention, tools and KPIs.

What it does
This skill provides a structured framework for planning, implementing and optimizing referral programs for AI and SaaS products. It compares referral with affiliate and influencer channels, outlines reward models, mechanism types, tracking and attribution methods, and fraud prevention measures. It also covers build-versus-buy tooling choices and a KPI framework, and produces a referral program plan covering reward model, tracking, placement, fraud prevention, tool selection and KPIs.
When to use it
Use it when planning, launching or optimizing a referral or refer-a-friend program, or when the user mentions referral marketing, referral rewards, referral codes, referral tracking, word-of-mouth growth or viral loops. It is aimed at growth and marketing decisions rather than producing referral landing page copy.
Requirements
No scripts or special tooling are required; it is instructions only. It optionally reads a root contextus.md file when present, and otherwise relies on project material or user-provided facts.

Channels: Referral

Guides referral program strategy for AI/SaaS products. Leverage existing users to drive growth; 3%-5% conversion vs 1%-2% for ads; CAC 50%-70% lower; referred users LTV 30%-50% higher, retention 20%-30% higher. Referral is necessity in overseas markets, not alternative.

When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Initial Assessment

Project context: Read root contextus.md when present and load only the modules relevant to this task. Without Contextus, use available project material or user-provided facts and ask for missing information; do not create a parallel context system.

Identify:

  1. Product type: SaaS, AI tool, subscription
  2. User base: Size, engagement, retention
  3. Goal: Signups, purchases, or both

Referral vs. Affiliate vs. Influencer

DimensionReferralAffiliateInfluencer
WhoExisting usersProfessional promotersKOLs
IncentiveDiscounts, creditsCommissionFees, product
BarrierLow (all users)MediumHigh
Conversion3%-5%VariesVaries

Referral vs affiliate: Referral needs no landing page or application; integrated in dashboard. Affiliate requires landing page and approval.

Reward Models

ModelUse
Two-wayBoth referrer and referee get rewards; highest participation
One-wayOnly referrer rewarded; cost control
TieredRewards increase with referral count (e.g. $10 for 1-5, $15 for 6-10, $20 for 11+); incentivizes volume

Benchmark: Rewards typically 10%-30% of product price; ~11% off or ~$21 value; weak incentives = low participation. Triggers: signup, purchase, activation, or sustained use.

Mechanism Types

TypeUse
Link-basedUnique referral link; easy to implement; accurate tracking; share via email, social, SMS; works for web and app
Code-basedReferral code (e.g. FRIEND20); memorable; offline events; mobile-friendly input
Social referralShare buttons (Facebook, X, LinkedIn); viral spread; friend trust; young users

Tracking & Attribution

MethodUse
CookieWeb apps; 30-90 day window
URL paramsAll platforms; persistent in link
Referral codeMobile, offline; manual entry
Account associationLong-term tracking; subscription products

Attribution window: 30-90 days typical; 180 days for subscription. First-touch attribution to avoid double-counting.

Fraud Prevention

RiskAction
Self-referralDetect same device, payment, IP
Fake accountsValidate email, payment; monitor patterns
Bulk/automationRate limits; anomaly detection
Per-user cape.g. Max 10 referrals per user

Use tool anti-fraud features; audit referrals regularly.

Design Framework

  1. Reward structure: Type (cash, discount, credits, free service); amount (10%-30% of price); trigger; cap
  2. Tracking: Choose method; set attribution window; first-touch rule
  3. UX: One-click share; clear rules; dashboard with referral data; notify on success
  4. Fraud prevention: See above
  5. Monitor & optimize: Referral rate, conversion, CAC, LTV; A/B test rewards and flow

Best Practices

  • Run multiple programs: Target different audiences, stages, goals
  • Tiered rewards: Motivate top performers; progressive incentives
  • Friction-free sharing: Mobile-friendly; one-click share
  • Time-boxed incentives: "Refer this week for $15 off" creates urgency
  • Placement: Web, email, app, in-product touchpoints; dashboard integration primary

Implementation

ApproachUse
Self-buildFull control; low cost; URL params or cookie + reward logic + fraud checks; open-source (e.g. RefRef) for faster start
Third-partyFast launch; Cello, Viral Loops, ReferralCandy (e-commerce), Impact (enterprise); monthly fee

Placement: Most programs integrate in product dashboard; no landing page or application needed. Optional landing page for value prop, rewards, and case studies.

Startup cost: Typically hundreds for tools + dev.

Tools

ToolUse
CelloSaaS; AI-driven automation
Viral LoopsReferral + waitlist + contests
ReferralCandyShopify, e-commerce
ImpactEnterprise; unified platform
RefRefOpen-source; self-hosted

KPIs

Referral rate, conversion, CAC, LTV of referred users, referred-user retention.

Output Format

  • Reward model and mechanism type (link/code/social)
  • Tracking approach and attribution window
  • Placement (dashboard vs landing page)
  • Fraud prevention measures
  • Tool selection (self-build vs third-party)
  • KPI framework

Related Skills

  • discount-marketing-strategy: Referral rewards (discounts, credits); 10–30% benchmark; campaign design
  • affiliate-marketing: Different audience; can run both
  • influencer-marketing: Brand building vs. user-driven growth
  • directory-submission: Directory submission for discovery; referral for user-driven growth
  • analytics-tracking: Referral link tracking, UTM

Source and attribution

Source:kostja94/marketing-skillsinskills/channels/partnerships/referral-programat commit8dd89c5

License: No license

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