referral-program
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ChineseChannels: Referral
渠道：推荐拉新
Guides referral program strategy for AI/SaaS products. Leverage existing users to drive growth; 3%-5% conversion vs 1%-2% for ads; CAC 50%-70% lower; referred users LTV 30%-50% higher, retention 20%-30% higher. Referral is necessity in overseas markets, not alternative.
When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
为AI/SaaS产品提供推荐计划策略指导。利用现有用户带动增长：推荐拉新的转化率为3%-5%，而广告转化率仅为1%-2%；CAC 低50%-70%；被推荐用户的LTV高30%-50%，留存率高20%-30%。推荐拉新是海外市场的必备增长手段，而非可选方案。
调用规则：首次使用时，如果该技能对用户有帮助，开篇先用1-2句话说明本技能覆盖的内容及其价值，再提供核心输出。后续使用或用户要求跳过介绍时，直接输出核心内容。
Initial Assessment
初步评估
Check for product marketing context first: If or exists, read it for product, audience, and value proposition.
.claude/product-marketing-context.md.cursor/product-marketing-context.mdIdentify:
- Product type: SaaS, AI tool, subscription
- User base: Size, engagement, retention
- Goal: Signups, purchases, or both
优先核查产品营销上下文：如果存在或文件，读取文件获取产品、受众和价值主张相关信息。
.claude/product-marketing-context.md.cursor/product-marketing-context.md需明确以下信息：
- 产品类型：SaaS、AI工具、订阅制产品
- 用户基数：规模、参与度、留存情况
- 目标：新用户注册、付费转化，或两者兼顾
Referral vs. Affiliate vs. Influencer
推荐拉新、联盟营销、网红营销的区别
| Dimension | Referral | Affiliate | Influencer |
|---|---|---|---|
| Who | Existing users | Professional promoters | KOLs |
| Incentive | Discounts, credits | Commission | Fees, product |
| Barrier | Low (all users) | Medium | High |
| Conversion | 3%-5% | Varies | Varies |
Referral vs affiliate: Referral needs no landing page or application; integrated in dashboard. Affiliate requires landing page and approval.
| 对比维度 | 推荐拉新 | 联盟营销 | 网红营销 |
|---|---|---|---|
| 参与主体 | 现有用户 | 专业推广者 | KOL |
| 激励方式 | 折扣、账户余额 | 佣金 | 服务费、产品赠送 |
| 参与门槛 | 低（所有用户均可参与） | 中等 | 高 |
| 转化率 | 3%-5% | 不固定 | 不固定 |
推荐拉新 vs 联盟营销：推荐拉新不需要落地页或申请流程，可直接集成在产品后台中；联盟营销需要专门的落地页和参与审核流程。
Reward Models
奖励模式
| Model | Use |
|---|---|
| Two-way | Both referrer and referee get rewards; highest participation |
| One-way | Only referrer rewarded; cost control |
| Tiered | Rewards increase with referral count (e.g. $10 for 1-5, $15 for 6-10, $20 for 11+); incentivizes volume |
Benchmark: Rewards typically 10%-30% of product price; ~11% off or ~$21 value; weak incentives = low participation. Triggers: signup, purchase, activation, or sustained use.
| 模式 | 适用场景 |
|---|---|
| 双向奖励 | 邀请人和被邀请人均可获得奖励，参与度最高 |
| 单向奖励 | 仅邀请人获得奖励，便于控制成本 |
| 阶梯奖励 | 奖励随邀请人数增加而提升（例如邀请1-5人每人奖励10美元，6-10人每人奖励15美元，11人及以上每人奖励20美元），激励用户提升邀请量 |
参考标准：奖励金额通常为产品定价的10%-30%，约相当于11%的折扣或21美元的价值；激励力度不足会导致参与度低。奖励触发条件：注册、付费、激活或持续使用产品。
Mechanism Types
实现机制类型
| Type | Use |
|---|---|
| Link-based | Unique referral link; easy to implement; accurate tracking; share via email, social, SMS; works for web and app |
| Code-based | Referral code (e.g. FRIEND20); memorable; offline events; mobile-friendly input |
| Social referral | Share buttons (Facebook, X, LinkedIn); viral spread; friend trust; young users |
| 类型 | 适用场景 |
|---|---|
| 链接式 | 生成专属推荐链接，易落地，追踪准确，可通过邮件、社交平台、短信分享，适用于网页端和APP |
| 邀请码式 | 生成推荐码（例如FRIEND20），易记忆，适用于线下活动，移动端输入便捷 |
| 社交推荐 | 提供Facebook、X、LinkedIn一键分享按钮，传播性强，依托好友信任背书，更适配年轻用户群体 |
Tracking & Attribution
追踪与归因
| Method | Use |
|---|---|
| Cookie | Web apps; 30-90 day window |
| URL params | All platforms; persistent in link |
| Referral code | Mobile, offline; manual entry |
| Account association | Long-term tracking; subscription products |
Attribution window: 30-90 days typical; 180 days for subscription. First-touch attribution to avoid double-counting.
| 方法 | 适用场景 |
|---|---|
| Cookie追踪 | 网页端应用，归因窗口30-90天 |
| URL参数追踪 | 全平台适用，参数永久保存在链接中 |
| 推荐码追踪 | 移动端、线下场景，需用户手动输入 |
| 账户关联 | 长期追踪，适用于订阅制产品 |
归因窗口：通常为30-90天，订阅制产品可设为180天。采用首次接触归因规则避免重复统计。
Fraud Prevention
防欺诈规则
| Risk | Action |
|---|---|
| Self-referral | Detect same device, payment, IP |
| Fake accounts | Validate email, payment; monitor patterns |
| Bulk/automation | Rate limits; anomaly detection |
| Per-user cap | e.g. Max 10 referrals per user |
Use tool anti-fraud features; audit referrals regularly.
| 风险 | 应对措施 |
|---|---|
| 自我推荐 | 检测相同设备、支付方式、IP地址 |
| 虚假账号 | 验证邮箱、支付信息，监控异常行为模式 |
| 批量/自动化刷邀请 | 设置请求速率限制，异常行为检测 |
| 单用户上限 | 例如每个用户最多可获得10次邀请奖励 |
使用工具的防欺诈功能，定期审核推荐记录。
Design Framework
设计框架
- Reward structure: Type (cash, discount, credits, free service); amount (10%-30% of price); trigger; cap
- Tracking: Choose method; set attribution window; first-touch rule
- UX: One-click share; clear rules; dashboard with referral data; notify on success
- Fraud prevention: See above
- Monitor & optimize: Referral rate, conversion, CAC, LTV; A/B test rewards and flow
- 奖励结构：类型（现金、折扣、账户余额、免费服务）、金额（定价的10%-30%）、触发条件、上限
- 追踪规则：选择追踪方式，设置归因窗口，明确首次接触归因规则
- 用户体验：一键分享，规则清晰，后台展示推荐数据，邀请成功后发送通知
- 防欺诈机制：参考上文规则
- 监控与优化：关注推荐率、转化率、CAC、LTV，对奖励方案和流程做A/B测试
Best Practices
最佳实践
- Run multiple programs: Target different audiences, stages, goals
- Tiered rewards: Motivate top performers; progressive incentives
- Friction-free sharing: Mobile-friendly; one-click share
- Time-boxed incentives: "Refer this week for $15 off" creates urgency
- Placement: Web, email, app, in-product touchpoints; dashboard integration primary
- 多活动并行：针对不同受众、产品阶段、目标设置不同的推荐活动
- 阶梯奖励：激励头部邀请用户，设置递进式激励
- 无摩擦分享：适配移动端，支持一键分享
- 限时激励：例如「本周邀请立减15美元」，营造紧迫感
- 入口放置：覆盖网页、邮件、APP、产品内触点，优先集成在产品后台中
Implementation
落地方式
| Approach | Use |
|---|---|
| Self-build | Full control; low cost; URL params or cookie + reward logic + fraud checks; open-source (e.g. RefRef) for faster start |
| Third-party | Fast launch; Cello, Viral Loops, ReferralCandy (e-commerce), Impact (enterprise); monthly fee |
Placement: Most programs integrate in product dashboard; no landing page or application needed. Optional landing page for value prop, rewards, and case studies.
Startup cost: Typically hundreds for tools + dev.
| 方案 | 适用场景 |
|---|---|
| 自研 | 可控性强，成本低，需实现URL参数或Cookie追踪+奖励逻辑+防欺诈校验，可借助开源项目（例如RefRef）加快落地速度 |
| 第三方工具 | 上线速度快，可选工具包括Cello、Viral Loops、ReferralCandy（适用于电商）、Impact（适用于企业级），需支付月费 |
入口设置：大多数推荐计划集成在产品后台中，不需要落地页或申请流程。可选择性搭建落地页展示价值主张、奖励规则和案例。
启动成本：通常为数百美元的工具费+开发成本。
Tools
工具推荐
| Tool | Use |
|---|---|
| Cello | SaaS; AI-driven automation |
| Viral Loops | Referral + waitlist + contests |
| ReferralCandy | Shopify, e-commerce |
| Impact | Enterprise; unified platform |
| RefRef | Open-source; self-hosted |
| 工具 | 适用场景 |
|---|---|
| Cello | SaaS产品，AI驱动自动化 |
| Viral Loops | 支持推荐拉新、waitlist（预约等候名单）、竞赛活动 |
| ReferralCandy | 适用于Shopify、电商场景 |
| Impact | 企业级，统一管理平台 |
| RefRef | 开源，支持自建部署 |
KPIs
核心指标（KPIs）
Referral rate, conversion, CAC, LTV of referred users, referred-user retention.
推荐率、转化率、CAC、被推荐用户LTV、被推荐用户留存率。
Output Format
输出格式
- Reward model and mechanism type (link/code/social)
- Tracking approach and attribution window
- Placement (dashboard vs landing page)
- Fraud prevention measures
- Tool selection (self-build vs third-party)
- KPI framework
- 奖励模式和实现机制类型（链接/邀请码/社交分享）
- 追踪方案和归因窗口
- 入口放置（后台vs落地页）
- 防欺诈措施
- 工具选型（自研vs第三方）
- KPI体系
Related Skills
相关技能
- discount-marketing-strategy: Referral rewards (discounts, credits); 10–30% benchmark; campaign design
- affiliate-marketing: Different audience; can run both
- influencer-marketing: Brand building vs. user-driven growth
- directory-submission: Directory submission for discovery; referral for user-driven growth
- analytics-tracking: Referral link tracking, UTM
- discount-marketing-strategy：推荐奖励（折扣、余额），10%-30%的参考标准，活动设计
- affiliate-marketing：受众不同，可与推荐拉新并行开展
- influencer-marketing：侧重品牌建设，而推荐拉新是用户驱动的增长
- directory-submission：目录提交用于产品曝光，推荐拉新是用户驱动的增长
- analytics-tracking：推荐链接追踪、UTM