Referral Program

作者 kostja948dd89c57395e無授權條款1K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫2 天前更新

When the user wants to plan, implement, or optimize referral program strategy. Also use when the user mentions "referral program," "referral marketing," "user referral," "refer-a-friend," "word-of-mouth growth," "referral rewards," "referral tracking," "referral code," "referral incentives," or "viral loop." For referral landing copy, use landing-page-generator.

僅含說明Marketing & Sales
AI 產生的概覽

為 AI/SaaS 產品提供推薦計畫策略指引,涵蓋獎勵、追蹤、防詐、工具與 KPI。

功能
此技能為 AI 與 SaaS 產品的推薦計畫提供結構化的規劃、導入與最佳化框架。它比較推薦、聯盟與網紅管道,說明獎勵模式、機制類型、追蹤與歸因方法以及防詐措施。它也涵蓋自建與第三方工具的選擇以及 KPI 框架,並產出包含獎勵模式、追蹤、投放位置、防詐、工具選擇與 KPI 的推薦計畫方案。
適用情境
適用於規劃、推出或最佳化推薦計畫或邀請好友計畫,或當使用者提到推薦行銷、推薦獎勵、推薦碼、推薦追蹤、口碑成長或病毒式擴散時。它著重成長與行銷決策,而非撰寫推薦到達頁文案。
執行需求
不需要指令碼或特殊工具,僅為說明性內容。若根目錄存在 contextus.md 檔案會選擇性讀取,否則依賴專案素材或使用者提供的資訊。

Channels: Referral

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.

Initial Assessment

Project context: Read root contextus.md when present and load only the modules relevant to this task. Without Contextus, use available project material or user-provided facts and ask for missing information; do not create a parallel context system.

Identify:

  1. Product type: SaaS, AI tool, subscription
  2. User base: Size, engagement, retention
  3. Goal: Signups, purchases, or both

Referral vs. Affiliate vs. Influencer

DimensionReferralAffiliateInfluencer
WhoExisting usersProfessional promotersKOLs
IncentiveDiscounts, creditsCommissionFees, product
BarrierLow (all users)MediumHigh
Conversion3%-5%VariesVaries

Referral vs affiliate: Referral needs no landing page or application; integrated in dashboard. Affiliate requires landing page and approval.

Reward Models

ModelUse
Two-wayBoth referrer and referee get rewards; highest participation
One-wayOnly referrer rewarded; cost control
TieredRewards 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.

Mechanism Types

TypeUse
Link-basedUnique referral link; easy to implement; accurate tracking; share via email, social, SMS; works for web and app
Code-basedReferral code (e.g. FRIEND20); memorable; offline events; mobile-friendly input
Social referralShare buttons (Facebook, X, LinkedIn); viral spread; friend trust; young users

Tracking & Attribution

MethodUse
CookieWeb apps; 30-90 day window
URL paramsAll platforms; persistent in link
Referral codeMobile, offline; manual entry
Account associationLong-term tracking; subscription products

Attribution window: 30-90 days typical; 180 days for subscription. First-touch attribution to avoid double-counting.

Fraud Prevention

RiskAction
Self-referralDetect same device, payment, IP
Fake accountsValidate email, payment; monitor patterns
Bulk/automationRate limits; anomaly detection
Per-user cape.g. Max 10 referrals per user

Use tool anti-fraud features; audit referrals regularly.

Design Framework

  1. Reward structure: Type (cash, discount, credits, free service); amount (10%-30% of price); trigger; cap
  2. Tracking: Choose method; set attribution window; first-touch rule
  3. UX: One-click share; clear rules; dashboard with referral data; notify on success
  4. Fraud prevention: See above
  5. Monitor & optimize: Referral rate, conversion, CAC, LTV; A/B test rewards and flow

Best Practices

  • 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

Implementation

ApproachUse
Self-buildFull control; low cost; URL params or cookie + reward logic + fraud checks; open-source (e.g. RefRef) for faster start
Third-partyFast 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.

Tools

ToolUse
CelloSaaS; AI-driven automation
Viral LoopsReferral + waitlist + contests
ReferralCandyShopify, e-commerce
ImpactEnterprise; unified platform
RefRefOpen-source; self-hosted

KPIs

Referral rate, conversion, CAC, LTV of referred users, referred-user retention.

Output Format

  • 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

Related Skills

  • 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

來源與署名

來源:kostja94/marketing-skills位於skills/channels/partnerships/referral-program提交8dd89c5

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