referrals · 스킬 지원 에이전트
친구 추천이나 파트너 소개의 참여 조건, 보상과 운영 절차를 설계합니다.
사용자가 만족하는 서비스인데 주변 사람에게 소개할 방법이 복잡할 때 활용합니다. 어떤 순간에 추천을 요청할지와 추천받은 사람에게 어떤 이익이 있는지를 함께 살펴봅니다.
보상을 넣는 경우 비용, 지급 조건과 부정 사용 방지 기준을 정리하세요. 추천 링크만 만드는 것보다 참여 안내와 성과 확인 방법까지 설계할 수 있습니다. 운영 예산이 없다면 보상 없이 자연스럽게 공유할 흐름도 검토할 수 있습니다.
referrals로 무료 자료 모음집의 추천 흐름을 제안해줘. 금전 보상은 없고 모음집 공유만 가능해. 공유 시점, 안내 문구와 확인할 지표를 정리해줘.
받을 수 있는 결과추천 절차·보상 조건·측정 기준
스킬 지원 에이전트가 필요합니다. 추천 링크·정산·실제 발송 기능은 별도 구현합니다.
현재 사용 중인 스킬 지원 에이전트에 아래 요청을 붙여넣으세요. SKILL.md만 복사하면 보조 파일이 빠질 수 있어요.
https://github.com/coreyhaines31/marketingskills 에서 skills/referrals 스킬을 현재 에이전트의 스킬 폴더에 설치해줘. SKILL.md와 이 스킬이 참조하는 scripts·references·assets와 공통 파일을 함께 유지하고, 필요한 실행 환경과 추가 연결을 확인한 뒤 알려줘. 설치가 끝나면 referrals 스킬을 인식하는지 확인해줘.
“referrals 스킬을 사용해줘. 입력 자료: 사용자 가치·보상 예산·운영 조건”처럼 요청하세요. 위의 예시를 내 자료에 맞게 바꿔도 좋아요.
예상 결과는 ‘추천 절차·보상 조건·측정 기준’입니다. 필요한 내용이 포함됐는지 확인하세요. 입력 자료의 사실·숫자와 결과를 대조하고, 부족한 부분을 이어서 요청하세요.
제작자 원본 2026-10-04 확인 · 설치 안내 2026-10-04 확인 · 실제 설치·실행 미검증
모델 사용 요금과 연결 앱 요금은 이용 중인 서비스의 정책을 따릅니다.
설치 안내 출처--- name: referrals description: "When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referral,' 'affiliate,' 'ambassador,' 'word of mouth,' 'viral loop,' 'refer a friend,' 'partner program,' 'referral incentive,' 'how to get referrals,' 'customers referring customers,' or 'affiliate payout.' Use this whenever someone wants existing users or partners to bring in new customers. For launch-specific virality, see launch." metadata: version: 2.0.2 --- # Referral & Affiliate Programs You are an expert in viral growth and referral marketing. Your goal is to help design and optimize programs that turn customers into growth engines. ## 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--- name: referrals description: "When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referral,' 'affiliate,' 'ambassador,' 'word of mouth,' 'viral loop,' 'refer a friend,' 'partner program,' 'referral incentive,' 'how to get referrals,' 'customers referring customers,' or 'affiliate payout.' Use this whenever someone wants existing users or partners to bring in new customers. For launch-specific virality, see launch." metadata: version: 2.0.2 --- # Referral & Affiliate Programs You are an expert in viral growth and referral marketing. Your goal is to help design and optimize programs that turn customers into growth engines. ## 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? --- ## Should You Engineer Virality First? Before building a reward-driven program, check whether virality can be **built into the product** — often cheaper and more durable than paid referrals. But **don't force virality where it doesn't naturally fit.** Place the product on the **Viral Potential Spectrum**: - **Natural** (build for it): collaboration tools, communication tools, user-facing outputs — every use exposes the product to non-users. - **Limited** (don't force it): backend, competitive-advantage, internal-only, and infrastructure products. Invest in referral programs, content, and partnerships instead. If the product is on the natural end, consider **product-embedded viral mechanisms** (Powered By badges, exposure loops, social sharing, embeds, watermarks) before or alongside a reward program. **For the spectrum diagnostic, the 7 viral mechanisms, value-presentation and timing best practices, and affiliate power-law mechanics**: See [references/viral-mechanisms.md](references/viral-mechanisms.md) --- ## 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:** 1. In-product sharing (highest conversion) 2. Personalized link 3. Email invitation 4. Social sharing 5. 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 **Present the reward with the bigger-*feeling* number** — "lead with the larger number" (say "$10 off," not "40% off," on a low-priced product). Reward at the **aha moment or milestone**, not signup. Reduce friction: one-click share, pre-written messages. **For examples and incentive sizing**: See [references/program-examples.md](references/program-examples.md) **For product-embedded virality, value-presentation rules, and affiliate power-law mechanics**: See [references/viral-mechanisms.md](references/viral-mechanisms.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](references/affiliate-programs.md) **For affiliate power-law mechanics (buyout clauses ~12× monthly commission, the 20/80 super-promoter rule, launch-affiliate tactics)**: See [references/viral-mechanisms.md](references/viral-mechanisms.md) --- ## Task-Specific Questions 1. What type of program (referral, affiliate, or both)? 2. What's your customer LTV and current CAC? 3. Existing program or starting from scratch? 4. What tools/platforms are you considering? 5. What's your budget for rewards/commissions? 6. Is your product naturally shareable? --- ## Tool Integrations For implementation, see the [tools registry](https://github.com/coreyhaines31/marketingskills/blob/main/tools/REGISTRY.md). Key tools for referral programs: | Tool | Best For | Guide | |------|----------|-------| | **Rewardful** | Stripe-native affiliate programs | [rewardful.md](https://github.com/coreyhaines31/marketingskills/blob/main/tools/integrations/rewardful.md) | | **Tolt** | SaaS affiliate programs | [tolt.md](https://github.com/coreyhaines31/marketingskills/blob/main/tools/integrations/tolt.md) | | **Mention Me** | Enterprise referral programs | [mention-me.md](https://github.com/coreyhaines31/marketingskills/blob/main/tools/integrations/mention-me.md) | | **Dub.co** | Link tracking and attribution | [dub-co.md](https://github.com/coreyhaines31/marketingskills/blob/main/tools/integrations/dub-co.md) | | **Stripe** | Payment processing (for commission tracking) | [stripe.md](https://github.com/coreyhaines31/marketingskills/blob/main/tools/integrations/stripe.md) | | **Introw** | Channel partner programs with tiers, deal registration, QBRs | [introw.md](https://github.com/coreyhaines31/marketingskills/blob/main/tools/integrations/introw.md) | | **PartnerStack** | Enterprise partner and affiliate programs | [partnerstack.md](https://github.com/coreyhaines31/marketingskills/blob/main/tools/integrations/partnerstack.md) | --- ## Related Skills - **launch**: For launching referral program effectively - **emails**: For referral nurture campaigns - **marketing-psychology**: For understanding referral motivation - **analytics**: For tracking referral attribution
Original skill: coreyhaines31/marketingskills/skills/referrals/SKILL.md Source: https://github.com/coreyhaines31/marketingskills/blob/dda3841f0b294e01e93b1541486beefbfab0915e/skills/referrals/SKILL.md License: MIT MIT License Copyright (c) 2025 Corey Haines Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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