referral-program

Design referral programs with reward structures, deep link flows, and fraud controls.

Updated Apr 3, 2026
One-click install
npx skills add https://github.com/lapaixkemsdortshlee-svg/AyitiMarket --skill referral-program-lapaixkemsdortshlee-svg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: referral-program
Source: https://github.com/lapaixkemsdortshlee-svg/AyitiMarket/tree/main/.agents/skills/referral-program
Command: npx skills add https://github.com/lapaixkemsdortshlee-svg/AyitiMarket --skill referral-program-lapaixkemsdortshlee-svg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you design and optimize in-app referral and invite programs that turn existing users into a measurable acquisition channel without harming unit economics.

Core Features & Use Cases

  • Reward Design: Choose the right incentive model, such as double-sided rewards, inviter-only perks, invitee discounts, or milestone-based bonuses.
  • Viral Growth Planning: Estimate invite volume, conversion, and K-factor so you can forecast whether referrals will meaningfully lift installs.
  • Fraud Prevention and Tracking: Define safeguards for self-referrals, bot signups, reward farming, and abuse while keeping attribution auditable.
  • Use Case: A marketplace wants to increase new signups by rewarding both the referrer and the referred customer after a successful first purchase.

Quick Start

Use this skill to create a referral program plan for my app with reward structure, deep link flow, fraud controls, and success metrics.

Frequently Asked Questions about referral-program

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

FAQPage Schema
How do I design a referral program with double-sided rewards that protects unit economics?

Designing a referral program with double-sided rewards requires sizing incentives against qualified conversion rates to protect unit economics. This Skill structures reward models, like inviter-only perks or milestone bonuses, to ensure acquisition costs remain sustainable.

How does K-factor estimation work for forecasting viral growth in consumer apps?

K-factor estimation forecasts viral growth by calculating invite volume multiplied by conversion rates. This Skill helps you estimate these metrics to determine whether your referral loops will meaningfully lift installs and activations.

What is the best way to prevent referral fraud from self-referrals and reward farming?

Preventing referral fraud from self-referrals and bot signups requires structured safeguards and auditable attribution tracking. This Skill designs fraud controls that block reward farming while maintaining accurate invite tracking.

Can I use deferred deep links for invitation tracking in a marketplace app?

Deferred deep links can be used for invitation tracking in marketplace apps to ensure accurate attribution. This Skill incorporates deep link flows to connect referrers and referred users across installation gaps.

When do I need milestone-based bonuses instead of invitee discounts for my invite program?

Milestone-based bonuses are needed when you want to incentivize repeated successful actions rather than single signups. This Skill helps compare reward structures, such as invitee discounts versus milestone bonuses, to match your activation goals.

Does this approach work for fintech products that need qualified referral tracking?

This approach works for fintech products by measuring qualified referrals based on successful user actions rather than simple installs. It designs invitation tracking tailored to high-intent environments like financial apps.