# referral-program-building

> Build referral programs for SaaS/digital products. Covers reward structures (two-sided, tiered, multi-step), platform selection (Rewardful, ReferralCandy, Viral Loops, FirstPromoter), technical implementation (tracking, attribution, API patterns), fraud prevention, email templates, and KPI metrics. Use for designing viral growth loops, implementing refer-a-friend features, or optimizing existing referral systems.

- Author: HTBK
- Repository: huynhtrungbk/antigravity-htkit
- Version: 20260207221040
- Stars: 0
- Forks: 0
- Last Updated: 2026-02-07
- Source: https://github.com/huynhtrungbk/antigravity-htkit
- Web: https://mule.run/skillshub/@@huynhtrungbk/antigravity-htkit~referral-program-building:20260207221040

---

---
name: referral-program-building
description: Build referral programs for SaaS/digital products. Covers reward structures (two-sided, tiered, multi-step), platform selection (Rewardful, ReferralCandy, Viral Loops, FirstPromoter), technical implementation (tracking, attribution, API patterns), fraud prevention, email templates, and KPI metrics. Use for designing viral growth loops, implementing refer-a-friend features, or optimizing existing referral systems.
version: 1.0.0
---

# Referral Program Building

Build viral referral programs that drive 2-3x higher conversion rates with 37% better retention.

## Quick Start

1. **Define Program Type** - Choose reward structure matching business model
2. **Select Platform** - Pick tool based on scale and integration needs
3. **Implement Tracking** - Set up attribution, fraud prevention, analytics
4. **Launch & Optimize** - Soft launch, measure KPIs, iterate

## Core Principles

- **Two-Sided Rewards:** Both referrer AND referee get incentives (68% higher participation)
- **Product Alignment:** Use product as reward when possible (Dropbox model)
- **Integration:** Embed in user workflow, not separate feature
- **Simplicity:** Explain in 2-3 bullet points or it's too complex

## References

### Strategy & Design
- [Reward Structures](references/reward-structures.md) - Incentive types, tiered rewards, real-world examples
- [Platform Selection](references/platform-selection.md) - Rewardful vs ReferralCandy vs Viral Loops comparison

### Implementation
- [Technical Guide](references/technical-implementation.md) - Database schema, API patterns, attribution
- [Fraud Prevention](references/fraud-prevention.md) - Detection mechanisms, validation rules

### Operations
- [Email Templates](references/email-templates.md) - Program intro, reminders, reward fulfillment
- [Metrics & KPIs](references/metrics-tracking.md) - Participation rate, ROI, CLV tracking

## Platform Quick Reference

| Platform | Best For | Price | Setup |
|----------|----------|-------|-------|
| Rewardful | SaaS subscriptions | $49/mo | 1 hour |
| ReferralCandy | Ecommerce | $49/mo | 1-click |
| Viral Loops | Custom campaigns | Custom | Visual builder |
| FirstPromoter | Recurring commissions | Custom | Dashboard |
| Voucherify | Enterprise API-first | Custom | API integration |

## Key Metrics

- **Participation Rate:** Target 5-9%
- **Referral Rate:** Target 5-10% (avg 2.3%)
- **CAC via Referral:** Should be 30-50% lower than other channels
- **Referred CLV:** 16-25% higher than non-referred
- **Program ROI:** Successful programs see 3:1 to 5:1

## Case Study Insights

**Dropbox (3900% Growth):**
- Product-aligned reward (500MB storage)
- Integrated into onboarding step 6
- Both parties benefit equally

**PayPal (100M Users):**
- $20+$20 aggressive cash incentives
- Aligned with payment product
- 7-10% daily growth rate

**Airbnb (900% YoY):**
- Altruistic messaging outperformed selfish
- Mobile-first optimization
- Data-driven A/B testing everything

## Report Output

**Activate:** `assets-organizing` skill for report file paths

Referral reports go to `assets/reports/performance/{date}-referral-program.md`