关于
The suede-referrals skill handles the design and modeling of referral and affiliate program mechanics, including incentive structures, attribution logic, fraud controls, and viral-loop measurement. It focuses on planning and approval workflows, keeping actual payouts and billing changes separate. Developers should use this for program design but not for executing transactions or lifecycle messaging.
快速安装
Claude Code
推荐npx skills add JasonColapietro/suede-creator-skills -a claude-code/plugin add https://github.com/JasonColapietro/suede-creator-skillsgit clone https://github.com/JasonColapietro/suede-creator-skills.git ~/.claude/skills/suede-referrals在 Claude Code 中复制并粘贴此命令以安装该技能
技能文档
Suede Referral & Affiliate Programs
Suede Referrals designs measurable customer, affiliate, and partner loops from incentive economics through attribution and fraud controls. It separates modeled loop performance from observed results and keeps activation and payouts behind approval.
Before Starting
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
1. Program Type
- Customer referral program, affiliate program, or both?
- B2B or B2C?
- What's the average customer LTV?
- What's your current CAC from other channels?
2. Current State
- Existing referral/affiliate program?
- Current referral rate (% who refer)?
- What incentives have you tried?
3. Product Fit
- Is your product shareable?
- Does it have network effects?
- Do customers naturally talk about it?
4. Resources
- Tools/platforms you use or consider?
- Budget for referral incentives?
Referral vs. Affiliate
Customer Referral Programs
Best for:
- Existing customers recommending to their network
- Products with natural word-of-mouth
- Lower-ticket or self-serve products
Characteristics:
- Referrer is an existing customer
- One-time or limited rewards
- Higher trust, lower volume
Affiliate Programs
Best for:
- Reaching audiences you don't have access to
- Content creators, influencers, bloggers
- Higher-ticket products that justify commissions
Characteristics:
- Affiliates may not be customers
- Ongoing commission relationship
- Higher volume, variable trust
Referral Program Design
The Referral Loop
Trigger Moment → Share Action → Convert Referred → Reward → (Loop)
Step 1: Identify Trigger Moments
High-intent moments:
- Right after first "aha" moment
- After achieving a milestone
- After exceptional support
- After renewing or upgrading
Step 2: Design Share Mechanism
Ranked by effectiveness:
- In-product sharing (highest conversion)
- Personalized link
- Email invitation
- Social sharing
- Referral code (works offline)
Step 3: Choose Incentive Structure
Single-sided rewards (referrer only): Simpler, works for high-value products
Double-sided rewards (both parties): Higher conversion, win-win framing
Tiered rewards: Gamifies referral process, increases engagement
For examples and incentive sizing: See references/program-examples.md
Program Optimization
Improving Referral Rate
If few customers are referring:
- Ask at better moments
- Simplify sharing process
- Test different incentive types
- Make referral prominent in product
If referrals aren't converting:
- Improve landing experience for referred users
- Strengthen incentive for new users
- Ensure referrer's endorsement is visible
A/B Tests to Run
Incentive tests: Amount, type, single vs. double-sided, timing
Messaging tests: Program description, CTA copy, landing page copy
Placement tests: Where and when the referral prompt appears
Common Problems & Fixes
| Problem | Fix |
|---|---|
| Low awareness | Add prominent in-app prompts |
| Low share rate | Simplify to one click |
| Low conversion | Optimize referred user experience |
| Fraud/abuse | Add verification, limits |
| One-time referrers | Add tiered/gamified rewards |
Measuring Success
Key Metrics
Program health:
- Active referrers (referred someone in last 30 days)
- Referral conversion rate
- Rewards earned/paid
Business impact:
- % of new customers from referrals
- CAC via referral vs. other channels
- LTV of referred customers
- Referral program ROI
Typical Findings
- Referred customers have 16-25% higher LTV
- Referred customers have 18-37% lower churn
- Referred customers refer others at 2-3x rate
Launch Checklist
Before Launch
- Define program goals and success metrics
- Design incentive structure
- Build or configure referral tool
- Create referral landing page
- Set up tracking and attribution
- Define fraud prevention rules
- Create terms and conditions
- Test complete referral flow
Launch
- Announce to existing customers
- Add in-app referral prompts
- Update website with program details
- Brief support team
Post-Launch (First 30 Days)
- Review conversion funnel
- Identify top referrers
- Gather feedback
- Fix friction points
- Send reminder emails to non-referrers
Email Sequences
Referral Program Launch
Subject: You can now earn [reward] for sharing [Product]
We just launched our referral program!
Share [Product] with friends and earn [reward] for each signup.
They get [their reward] too.
[Unique referral link]
1. Share your link
2. Friend signs up
3. You both get [reward]
Referral Nurture Sequence
- Day 7: Remind about referral program
- Day 30: "Know anyone who'd benefit?"
- Day 60: Success story + referral prompt
- After milestone: "You achieved [X]—know others who'd want this?"
Affiliate Programs
For detailed affiliate program design, commission structures, recruitment, and tools: See references/affiliate-programs.md
Task-Specific Questions
- What type of program (referral, affiliate, or both)?
- What's your customer LTV and current CAC?
- Existing program or starting from scratch?
- What tools/platforms are you considering?
- What's your budget for rewards/commissions?
- Is your product naturally shareable?
Tool Integrations
These are evaluation examples, not guaranteed integrations. Verify current vendor documentation, pricing, account access, attribution behavior, payout controls, tax support, and data-export terms before recommending a platform.
| Tool | Best For | Verify Before Use |
|---|---|---|
| Rewardful / Tolt | SaaS affiliate programs | Billing integration, attribution, payouts |
| Mention Me | Enterprise referral programs | Identity, fraud, and reporting controls |
| Dub.co | Link tracking and attribution | Attribution window and privacy settings |
| Stripe | Commission-related payment records | Live objects, fees, approvals, tax workflow |
| Introw | Tiered channel partner operations | Deal registration and payout governance |
| PartnerStack | Enterprise partner ecosystems | Fees, attribution, approval, data export |
Boundaries
- Do not enable a program, create affiliate accounts, issue links, execute payouts, or change billing and commission objects without verified live state and explicit approval.
- Do not invent attribution, conversion, fraud, or viral-coefficient results; distinguish modeled economics from observed data.
- Do not decide tax, labor, privacy, contest, endorsement, or incentive compliance. Surface the jurisdiction-specific review needed before launch.
Routing
- Use
suede-launch-packagingto coordinate the approved program launch. - Use
suede-emailsfor referral invitation and nurture sequences. - Use
suede-marketing-psychologyto test incentive framing. - Use
suede-analyticsto define and read referral attribution.
GitHub 仓库
常见问题
什么是 suede-referrals Skill?
suede-referrals 是一个 Claude Skill,作者为 JasonColapietro。Skill 将 Claude 按需加载的说明和资源打包,让 Claude 无需额外提示即可执行与 suede-referrals 相关的任务。
如何安装 suede-referrals?
使用本页的安装命令:将 suede-referrals 作为插件添加到 Claude Code,或将其仓库克隆到 skills 目录,然后重启 Claude 以加载该 Skill。
suede-referrals 属于哪个分类?
suede-referrals 属于设计分类。
suede-referrals 可以免费使用吗?
可以。suede-referrals 已收录在 AIMCP,可免费安装。
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