startup-metrics-framework
追蹤新創從 seed 到 Series A 的 CAC、LTV、burn multiple 等指標
中文翻譯
--- name: startup-metrics-framework description: 追蹤、計算並優化 SaaS、marketplace、消費性和 B2B 新創從 seed 到 Series A 的關鍵績效指標，包含單位經濟學、成長效率和現金管理。在定義指標框架、計算 CAC/LTV/burn multiple、對事業健康度做基準比較，或為投資人或董事會報告準備指標儀表板時使用這個 skill。 version: 1.0.0 --- # Startup Metrics Framework 一份完整的指南，教你追蹤、計算並優化不同新創商業模式從 seed 到 Series A 的關鍵績效指標。 ## Overview 在對的階段追蹤對的指標。專注在對募資和卓越營運來說重要的單位經濟學、成長效率和現金管理指標。 每一次新創分析，都要先讀[通用的營收、單位經濟學和現金指標](references/universal-and-saas-metrics.md)；相關時也要套用其中的 SaaS 段落。 ## Marketplace Metrics ### GMV (Gross Merchandise Value) **總交易量：** ``` GMV = Σ (Transaction Value) ``` **成長率：** ``` GMV Growth Rate = (Current Period GMV - Prior Period GMV) / Prior Period GMV ``` **目標：** 早期階段月增（MoM）20% 以上 ### Take Rate ``` Take Rate = Net Revenue / GMV ``` **典型範圍：** - 支付處理商：2-3% - 電商 marketplace：10-20% - 服務 marketplace：15-25% - 高單價 B2B：5-15% ### Marketplace Liquidity **Time to Transaction** 從刊登到成交/配對要多久？ **Fill Rate** 產生交易的請求佔多少 % **Repeat Rate** 多次交易的使用者佔多少 % **基準：** - Fill rate > 80% = 流動性強 - Repeat rate > 60% = 留存強 ### Marketplace Balance **供給/需求比：** 追蹤供給方和需求方的相對成長。 **警訊：** - 供給太多：fill rate 低、供應商受挫 - 需求太多：等待時間長、客戶受挫 **目標：** 平衡的成長（理想是 1:1，但依模式而異） ## Consumer/Mobile Metrics ### Engagement Metrics **DAU (Daily Active Users)** 每天活躍的不重複使用者 **MAU (Monthly Active Users)** 每月活躍的不重複使用者 **DAU/MAU Ratio** ``` DAU/MAU = DAU / MAU ``` **基準：** - > 50% = 極佳（每天的習慣） - 20-50% = 好 - < 20% = 參與度弱 **Session Frequency** 每位使用者每天/每週的平均 session 數 **Session Duration** 每個 session 平均花的時間 ### Retention Curves **Day 1 Retention：** 隔天回來的使用者 % **Day 7 Retention：** 註冊 7 天後仍活躍的使用者 % **Day 30 Retention：** 註冊 30 天後仍活躍的使用者 % **基準（Day 30）：** - > 40% = 優秀 - 25-40% = 好 - < 25% = 弱 **留存曲線的形狀：** - 曲線趨於平緩 = 好（使用者養成習慣） - 急遽下滑 = product-market fit 不佳 ### Viral Coefficient (K-Factor) ``` K-Factor = Invites per User × Invite Conversion Rate ``` **範例：** 每位使用者 10 個邀請 × 20% 轉換率 = 2.0 K-factor **基準：** - K > 1.0 = 病毒式成長 - K = 0.5-1.0 = 推薦效果強 - K < 0.5 = 病毒性弱 ## B2B Metrics ### Sales Efficiency **Win Rate** ``` Win Rate = Deals Won / Total Opportunities ``` **目標：** 新業務團隊 20-30%，成熟團隊 30-40% **Sales Cycle Length** 從商機到成交的平均天數 **越短越好：** - SMB：30-60 天 - 中型市場：60-120 天 - 企業：120-270 天 **Average Contract Value (ACV)** ``` ACV = Total Contract Value / Contract Length (years) ``` ### Pipeline Metrics **Pipeline Coverage** ``` Pipeline Coverage = Total Pipeline Value / Quota ``` **目標：** 3-5 倍覆蓋（需要 3-5 倍的 pipeline 才能達到配額） **各階段的轉換率：** - Lead → Opportunity：10-20% - Opportunity → Demo：50-70% - Demo → Proposal：30-50% - Proposal → Close：20-40% ## Metrics by Stage ### Pre-Seed (Product-Market Fit) **聚焦的指標：** 1. 活躍使用者成長 2. 使用者留存（Day 7、Day 30） 3. 核心參與度（session、使用的功能） 4. 質性回饋（NPS、訪談） **不用擔心：** - 營收（可能是零） - CAC（還沒到優化的階段） - 單位經濟學 ### Seed ($500K-$2M ARR) **聚焦的指標：** 1. MRR 成長率（月增 15-20%） 2. CAC 和 LTV（建立基準線） 3. 毛留存率（> 85%） 4. 核心產品參與度 **開始追蹤：** - 銷售效率 - Burn rate 和 runway ### Series A ($2M-$10M ARR) **聚焦的指標：** 1. ARR 成長（年增 3-5 倍） 2. 單位經濟學（LTV:CAC > 3、回收期 < 18 個月） 3. 淨美元留存率（> 100%） 4. Burn multiple（< 2.0） 5. Magic number（> 0.5） **成熟的追蹤：** - Rule of 40 - 銷售效率 - Pipeline coverage ## Metric Tracking Best Practices ### Data Infrastructure **需求：** - 單一事實來源（分析平台） - 即時或每日更新 - 自動化計算 - 歷史追蹤 **工具：** - Mixpanel、Amplitude（產品分析） - ChartMogul、Baremetrics（SaaS 指標） - Looker、Tableau（BI 儀表板） ### Reporting Cadence **每天：** - MRR、活躍使用者 - 註冊數、轉換數 **每週：** - 成長率 - 留存 cohort - 銷售 pipeline **每月：** - 完整的指標套組 - 董事會報告 - 投資人更新 **每季：** - 趨勢分析 - 基準比較 - 策略檢視 ### Common Mistakes **錯誤 1：虛榮指標** 不要只關注： - 總使用者數（沒有留存） - 頁面瀏覽數（沒有參與度） - 下載數（沒有啟用） 要專注在跟價值連結、可以付諸行動的指標。 **錯誤 2：指標太多** 要密集追蹤 5-7 個核心指標，不要鬆散地追蹤 50 個。 **錯誤 3：忽略單位經濟學** 就算在 seed 階段，CAC 和 LTV 也很關鍵。 **錯誤 4：沒有分群** 指標要依客戶族群、通路、cohort 拆開來看。 **錯誤 5：操弄指標** 為真正的商業成果優化，不要為儀表板上的數字優化。 ## Investor Metrics ### What VCs Want to See **Seed 輪：** - MRR 成長率 - 使用者留存 - 早期單位經濟學 - 產品參與度 **Series A：** - ARR 和成長率 - CAC 回收期 < 18 個月 - LTV:CAC > 3.0 - 淨美元留存率 > 100% - Burn multiple < 2.0 **Series B+：** - Rule of 40 > 40% - 有效率的成長（magic number） - 通往獲利的路徑 - 市場領導地位的指標 ### Metric Presentation **儀表板格式：** ``` Current MRR: $250K (↑ 18% MoM) ARR: $3.0M (↑ 280% YoY) CAC: $1,200 | LTV: $4,800 | LTV:CAC = 4.0x NDR: 112% | Logo Retention: 92% Burn: $180K/mo | Runway: 18 months ``` **要包含：** - 目前的數值 - 成長率或趨勢 - 脈絡（目標、基準） ## Quick Start 實作新創指標框架： 1. **找出商業模式** - SaaS、marketplace、消費性、B2B 2. **選出 5-7 個核心指標** - 依階段和模式 3. **建立追蹤** - 設定分析和儀表板 4. **計算單位經濟學** - CAC、LTV、回收期 5. **設定目標** - 用基準值當目標 6. **定期檢視** - 核心指標每週檢視 7. **跟團隊分享** - 對齊目標和進度 8. **更新投資人** - 每月/每季報告
英文原文
--- name: startup-metrics-framework description: Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn multiple, benchmarking business health, or preparing metrics dashboards for investors or board reporting. version: 1.0.0 --- # Startup Metrics Framework Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A. ## Overview Track the right metrics at the right stage. Focus on unit economics, growth efficiency, and cash management metrics that matter for fundraising and operational excellence. For every startup analysis, first read [universal revenue, unit-economics, and cash metrics](references/universal-and-saas-metrics.md); also apply its SaaS section when relevant. ## Marketplace Metrics ### GMV (Gross Merchandise Value) **Total Transaction Volume:** ``` GMV = Σ (Transaction Value) ``` **Growth Rate:** ``` GMV Growth Rate = (Current Period GMV - Prior Period GMV) / Prior Period GMV ``` **Target:** 20%+ MoM early-stage ### Take Rate ``` Take Rate = Net Revenue / GMV ``` **Typical Ranges:** - Payment processors: 2-3% - E-commerce marketplaces: 10-20% - Service marketplaces: 15-25% - High-value B2B: 5-15% ### Marketplace Liquidity **Time to Transaction** How long from listing to sale/match? **Fill Rate** % of requests that result in transaction **Repeat Rate** % of users who transact multiple times **Benchmarks:** - Fill rate > 80% = Strong liquidity - Repeat rate > 60% = Strong retention ### Marketplace Balance **Supply/Demand Ratio:** Track relative growth of supply and demand sides. **Warning Signs:** - Too much supply: Low fill rates, frustrated suppliers - Too much demand: Long wait times, frustrated customers **Goal:** Balanced growth (1:1 ratio ideal, but varies by model) ## Consumer/Mobile Metrics ### Engagement Metrics **DAU (Daily Active Users)** Unique users active each day **MAU (Monthly Active Users)** Unique users active each month **DAU/MAU Ratio** ``` DAU/MAU = DAU / MAU ``` **Benchmarks:** - > 50% = Exceptional (daily habit) - 20-50% = Good - < 20% = Weak engagement **Session Frequency** Average sessions per user per day/week **Session Duration** Average time spent per session ### Retention Curves **Day 1 Retention:** % users who return next day **Day 7 Retention:** % users active 7 days after signup **Day 30 Retention:** % users active 30 days after signup **Benchmarks (Day 30):** - > 40% = Excellent - 25-40% = Good - < 25% = Weak **Retention Curve Shape:** - Flattening curve = good (users becoming habitual) - Steep decline = poor product-market fit ### Viral Coefficient (K-Factor) ``` K-Factor = Invites per User × Invite Conversion Rate ``` **Example:** 10 invites/user × 20% conversion = 2.0 K-factor **Benchmarks:** - K > 1.0 = Viral growth - K = 0.5-1.0 = Strong referrals - K < 0.5 = Weak virality ## B2B Metrics ### Sales Efficiency **Win Rate** ``` Win Rate = Deals Won / Total Opportunities ``` **Target:** 20-30% for new sales team, 30-40% mature **Sales Cycle Length** Average days from opportunity to close **Shorter is better:** - SMB: 30-60 days - Mid-market: 60-120 days - Enterprise: 120-270 days **Average Contract Value (ACV)** ``` ACV = Total Contract Value / Contract Length (years) ``` ### Pipeline Metrics **Pipeline Coverage** ``` Pipeline Coverage = Total Pipeline Value / Quota ``` **Target:** 3-5x coverage (3-5x pipeline needed to hit quota) **Conversion Rates by Stage:** - Lead → Opportunity: 10-20% - Opportunity → Demo: 50-70% - Demo → Proposal: 30-50% - Proposal → Close: 20-40% ## Metrics by Stage ### Pre-Seed (Product-Market Fit) **Focus Metrics:** 1. Active users growth 2. User retention (Day 7, Day 30) 3. Core engagement (sessions, features used) 4. Qualitative feedback (NPS, interviews) **Don't worry about:** - Revenue (may be zero) - CAC (not optimizing yet) - Unit economics ### Seed ($500K-$2M ARR) **Focus Metrics:** 1. MRR growth rate (15-20% MoM) 2. CAC and LTV (establish baseline) 3. Gross retention (> 85%) 4. Core product engagement **Start tracking:** - Sales efficiency - Burn rate and runway ### Series A ($2M-$10M ARR) **Focus Metrics:** 1. ARR growth (3-5x YoY) 2. Unit economics (LTV:CAC > 3, payback < 18 months) 3. Net dollar retention (> 100%) 4. Burn multiple (< 2.0) 5. Magic number (> 0.5) **Mature tracking:** - Rule of 40 - Sales efficiency - Pipeline coverage ## Metric Tracking Best Practices ### Data Infrastructure **Requirements:** - Single source of truth (analytics platform) - Real-time or daily updates - Automated calculations - Historical tracking **Tools:** - Mixpanel, Amplitude (product analytics) - ChartMogul, Baremetrics (SaaS metrics) - Looker, Tableau (BI dashboards) ### Reporting Cadence **Daily:** - MRR, active users - Sign-ups, conversions **Weekly:** - Growth rates - Retention cohorts - Sales pipeline **Monthly:** - Full metric suite - Board reporting - Investor updates **Quarterly:** - Trend analysis - Benchmarking - Strategy review ### Common Mistakes **Mistake 1: Vanity Metrics** Don't focus on: - Total users (without retention) - Page views (without engagement) - Downloads (without activation) Focus on actionable metrics tied to value. **Mistake 2: Too Many Metrics** Track 5-7 core metrics intensely, not 50 loosely. **Mistake 3: Ignoring Unit Economics** CAC and LTV are critical even at seed stage. **Mistake 4: Not Segmenting** Break down metrics by customer segment, channel, cohort. **Mistake 5: Gaming Metrics** Optimize for real business outcomes, not dashboard numbers. ## Investor Metrics ### What VCs Want to See **Seed Round:** - MRR growth rate - User retention - Early unit economics - Product engagement **Series A:** - ARR and growth rate - CAC payback < 18 months - LTV:CAC > 3.0 - Net dollar retention > 100% - Burn multiple < 2.0 **Series B+:** - Rule of 40 > 40% - Efficient growth (magic number) - Path to profitability - Market leadership metrics ### Metric Presentation **Dashboard Format:** ``` Current MRR: $250K (↑ 18% MoM) ARR: $3.0M (↑ 280% YoY) CAC: $1,200 | LTV: $4,800 | LTV:CAC = 4.0x NDR: 112% | Logo Retention: 92% Burn: $180K/mo | Runway: 18 months ``` **Include:** - Current value - Growth rate or trend - Context (target, benchmark) ## Quick Start To implement startup metrics framework: 1. **Identify business model** - SaaS, marketplace, consumer, B2B 2. **Choose 5-7 core metrics** - Based on stage and model 3. **Establish tracking** - Set up analytics and dashboards 4. **Calculate unit economics** - CAC, LTV, payback 5. **Set targets** - Use benchmarks for goals 6. **Review regularly** - Weekly for core metrics 7. **Share with team** - Align on goals and progress 8. **Update investors** - Monthly/quarterly reporting