referral_gamification
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.
- License 许可
- MIT
- 最近更新
- 2026-10-09
- Stars
- ★ 2
- Forks
- 1
01 前言 Front Matter
- name
- referral_gamification
- metadata
- { "author": "claudekit", "version": "1.0.0" }
- 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.
- argument-hint
- [product or program-type]
02 资源文件 15
- 参考文档references/analytics-events.md1.6 KB
- 参考文档references/campaign-templates.md1.5 KB
- 参考文档references/case-studies.md1.7 KB
- 参考文档references/challenge-configs.md2.1 KB
- 参考文档references/database-schema.md2.6 KB
- 参考文档references/email-templates.md1.9 KB
- 参考文档references/fraud-prevention.md2.2 KB
- 参考文档references/implementation-guide.md2.0 KB
- 参考文档references/kpi-tracking.md1.4 KB
- 参考文档references/mechanics-selection.md2.8 KB
- 参考文档references/metrics-tracking.md1.8 KB
- 参考文档references/platform-selection.md2.4 KB
- 参考文档references/psychology-frameworks.md3.5 KB
- 参考文档references/reward-structures.md2.2 KB
- 参考文档references/technical-implementation.md2.3 KB
03 SKILL.md 正文
Referral Program Building
Build viral referral programs that drive 2-3x higher conversion rates with 37% better retention.
Quick Start
- Define Program Type - Choose reward structure matching business model
- Select Platform - Pick tool based on scale and integration needs
- Implement Tracking - Set up attribution, fraud prevention, analytics
- 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
| 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
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