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 - Incentive types, tiered rewards, real-world examples
• Platform Selection - Rewardful vs ReferralCandy vs Viral Loops comparison

Implementation

• Technical Guide - Database schema, API patterns, attribution
• Fraud Prevention - Detection mechanisms, validation rules

Operations

• Email Templates - Program intro, reminders, reward fulfillment
• Metrics & KPIs - Participation rate, ROI, CLV tracking

Platform Quick Reference

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