startup-metrics-framework

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 bus

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npx skills add wshobson/agents --skill startup-metrics-framework

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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. Universal Startup Metrics Revenue Metrics MRR (Monthly Recurring Revenue) ARR (Annual Recurring Revenue) Growth Rate Target Benchmarks: Seed stage: 15 20% MoM growth Series A: 10 15% MoM growth, 3 5x YoY Series B+: 100%+ YoY (Rule of 40) Unit Economics CAC (Customer Acquisition Cost) Include: Sales salaries, marketing spend, tools, overhead LTV (Lifetime Value) Simplified: LTV:CAC Ratio Benchmarks: LTV:CAC 3.0 = Healthy LTV:CAC 1.0 3.0 = Needs improvement LTV:CAC < 1.0 = Unsustainable CAC Payback Period Benchmarks: < 12 months = Excellent 12 18 months = Good 24 months = Concerning Cash Efficiency Metrics Burn Rate Negative burn = losing money (typical early stage) Runway Target: Always maintain 12 18 months runway Burn Multiple Benchmarks: < 1.0 = Exceptional efficiency 1.0 1.5 = Good 1.5 2.0 = Acceptable 2.0 = Inefficient Lower is better (spending less to generate ARR) SaaS Metrics Revenue Composition New MRR New customers × ARPU Expansion MRR Upsells and cross sells from existing customers Contraction MRR Downgrades from existing customers Churned MRR Lost customers Net New MRR Formula: Retention Metrics Logo Retention Dollar Retention (NDR Net Dollar Retention) Benchmarks: NDR 120% = Best in class NDR 100 120% = Good NDR < 100% = Needs work Gross Retention Benchmarks: 90% = Excellent 85 90% = Good < 85% = Concerning SaaS Specific Metrics Magic Number Benchmarks: 0.75 = Efficient, ready to scale 0.5 0.75 = Moderate efficiency < 0.5 = Inefficient, don't scale yet Rule of 40 Benchmarks: 40% = Excellent 20 40% = Acceptable < 20% = Needs improvement Example: 50% growth + (10%) margin = 40% ✓ Quick Ratio Benchmarks: 4.0 = Healthy growth 2.0 4.0 = Moderate < 2.0 = Churn problem Marketplace Metrics GMV (Gross Merchandise Value) Total Transaction Volume: Growth Rate: Target: 20%+ MoM early stage Take Rate 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 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) 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 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) Pipeline Metrics Pipeline Coverage 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: 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