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tomtoto757
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referral-viral-loops

Build dual-sided referral programs with idempotent links and anti-fraud controls.

14|3|Updated Mar 22, 2026
Search Tags:#attribution#fraud-detection#referral#referral-program#viral-loops#store-credit#referral-links
One-click install
npx skills add https://github.com/tomtoto757/ecomm-ai-skills-hub --skill referral-viral-loops-tomtoto757
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: referral-viral-loops
Source: https://github.com/tomtoto757/ecomm-ai-skills-hub/tree/main/skills/marketing-growth/finsilabs/marketing-growth/referral-viral-loops
Command: npx skills add https://github.com/tomtoto757/ecomm-ai-skills-hub --skill referral-viral-loops-tomtoto757

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps ecommerce teams turn informal word-of-mouth into a measurable, scalable acquisition channel by implementing structured dual-sided referral programs that generate unique, shareable links, attribute conversions, and prevent reward abuse across Shopify, WooCommerce, BigCommerce, and custom storefronts.

Core Features & Use Cases

  • Dual-sided rewards: configure both referrer and referee incentives (store credit, fixed amounts, percent off, or free product) with delayed fulfillment for referrers to cover refund windows.
  • Short, idempotent referral links & attribution: generate memorable codes (e.g., SARAH123) with UTM parameters and a referral_code cookie for click tracking and conversion attribution.
  • Anti-fraud controls & guardrails: same-IP detection, instant-account checks, suspicious conversion-rate thresholds, shared-device fingerprinting, and monthly caps to reduce abuse.
  • Platform integrations & workflows: step-by-step guidance for ReferralCandy, Friendbuy, AffiliateWP, Smile.io, and headless implementations, plus best-practice promotion and analytics (K-factor calculation).
  • Use Case: Nora Foods converts informal mentions into measurable growth by issuing unique referral links at post-purchase, delaying referrer rewards by 7 days, and tracking K-factor to optimize incentives.

Quick Start

Create a referral program that issues a short link for a customer, grants $10 store credit to the referrer after a 7-day delay, and gives the referee 15% off their first order.

Frequently Asked Questions about referral-viral-loops

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up a dual-sided referral program with delayed rewards?▼

Build a dual-sided referral program by configuring incentives for both referrers and referees, using delayed fulfillment for referrers to cover refund windows. Generate shareable links and apply cookie-based attribution to track conversions accurately.

How does referral fraud detection work for ecommerce store credit programs?▼

Referral fraud detection works by applying multiple checks including same-IP detection, instant-account validation, suspicious conversion-rate thresholds, shared-device fingerprinting, and rate limits to prevent abuse and enforce monthly caps.

Can I use viral loops referral links on a headless Shopify or WooCommerce storefront?▼

Yes, viral loops referral links apply to Shopify, WooCommerce, BigCommerce, and custom headless storefronts. They generate short, idempotent links with UTM parameters and a referral_code cookie for tracking clicks and conversions.

What is the best way to track referee discounts and referrer store credit attribution?▼

Track referee discounts and referrer store credit by generating unique referral codes with UTM tagging and cookie-based attribution. Schedule delayed referrer rewards and enforce single-use referee discounts to maintain accurate records.

Why does my referral program need idempotent link generation and rate limiting?▼

Idempotent link generation prevents duplicate entries if customers click multiple times, while rate limiting restricts excessive requests. These controls ensure accurate click tracking, attribution, and protection against automated abuse signals.

When should I apply K-factor calculation and monthly caps to my referral program?▼

Apply K-factor calculation to measure viral growth and optimize incentives continuously. Implement monthly caps to limit total reward exposure and prevent sudden spikes in suspicious conversion rates draining store credit.

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