について
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クイックインストール
Claude Code
推奨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このコマンドをClaude Codeにコピー&ペーストしてスキルをインストールします
ドキュメント
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 リポジトリ
よくある質問
suede-referrals Skillとは何ですか?
suede-referrals はJasonColapietro が作成した Claude Skillです。Skillは、Claudeが必要に応じて読み込む指示とリソースをまとめ、追加の指示なしで suede-referrals に関連するタスクを実行できるようにします。
suede-referrals をインストールするには?
このページのインストールコマンドを使用してください。suede-referrals をプラグインとして Claude Code に追加するか、リポジトリを skills ディレクトリにクローンし、Claudeを再起動してSkillを読み込みます。
suede-referrals はどのカテゴリに属しますか?
suede-referrals は デザイン カテゴリに属します。
suede-referrals は無料で利用できますか?
はい。suede-referrals は AIMCP に掲載されており、無料でインストールできます。
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このスキルは、開発者がHTTP、stdio、またはSSEトランスポートを使用してMCPサーバーをClaude Codeに接続するための包括的なガイドを提供します。GitHub、Notion、カスタムAPIなどの外部サービスを統合するためのインストール、設定、認証、セキュリティについて解説しています。MCP統合のセットアップ、外部ツールの設定、またはClaudeのModel Context Protocolを扱う際にご利用ください。
このスキルは、タスク分析に基づいて開発者がClaude Code WebとCLIインターフェースの選択を支援し、これらの環境間でのシームレスなセッションテレポーテーションを可能にします。Web、CLI、モバイル環境を切り替える際のセッション状態とコンテキストを管理することで、ワークフローを最適化します。様々な段階で異なるツールを必要とする複雑なプロジェクトにご活用ください。
