Ai Startup Metrics
git clone https://github.com/wpank/ai
T=$(mktemp -d) && git clone --depth=1 https://github.com/wpank/ai "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/marketing/startup-metrics" ~/.claude/skills/wpank-ai-startup-metrics && rm -rf "$T"
skills/marketing/startup-metrics/SKILL.mdStartup Metrics Framework
Track, calculate, and optimize key performance metrics for different startup business models from seed through Series B+.
Installation
OpenClaw / Moltbot / Clawbot
npx clawhub@latest install startup-metrics
NEVER Do
- Focus on vanity metrics (total users without retention, page views without engagement, downloads without activation)
- Track 50 metrics loosely instead of 5-7 core metrics intensely
- Ignore unit economics at any stage — CAC and LTV matter even at seed
- Present metrics without context (benchmark, target, or trend)
- Optimize dashboard numbers instead of real business outcomes
- Skip segmentation — always break down by customer segment, channel, and cohort
Data
The
data/metrics.csv file contains 42 metrics with formulas, benchmarks by stage, interpretation guidance, and related metrics. Use it for lookups and cross-referencing.
How to Use This Skill
- Identify business model — SaaS, marketplace, consumer/mobile, or B2B
- Determine stage — Pre-seed, seed, Series A, Series B+
- Select 5-7 core metrics based on model and stage
- Apply formulas and benchmarks from the sections below
- Recommend tracking cadence and reporting format
Universal Metrics (All Models)
Revenue
| Metric | Formula | Seed Target | Series A Target |
|---|---|---|---|
| MRR | Sum(active subs x monthly price) | $10K-$50K | $200K-$800K |
| ARR | MRR x 12 | $120K-$600K | $2M-$10M |
| MoM Growth | (current - prior) / prior | 15-20% | 10-15% |
| YoY Growth | (current year - prior year) / prior year | N/A | 3-5x |
Unit Economics
| Metric | Formula | Healthy Benchmark |
|---|---|---|
| CAC | Total S&M spend / new customers | Varies by model |
| LTV | ARPU x gross margin% x (1/churn rate) | LTV:CAC > 3.0 |
| CAC Payback | CAC / (ARPU x gross margin%) | < 12 months |
| Gross Margin | (revenue - COGS) / revenue | 70-85% for SaaS |
Cash Management
| Metric | Formula | Target |
|---|---|---|
| Burn Rate | monthly expenses - monthly revenue | Track gross and net |
| Runway | cash balance / monthly burn | Always 12-18+ months |
| Burn Multiple | net burn / net new ARR | < 2.0 (lower is better) |
SaaS-Specific Metrics
Revenue Composition
Net New MRR = New MRR + Expansion MRR - Contraction MRR - Churned MRR
Retention
| Metric | Formula | Best-in-Class |
|---|---|---|
| Net Dollar Retention (NDR) | (start + expansion - contraction - churn) / start | > 120% |
| Gross Retention | (start - churn - contraction) / start | > 90% |
| Logo Retention | (end - new) / start | > 95% monthly |
Efficiency
| Metric | Formula | Ready to Scale |
|---|---|---|
| Magic Number | net new ARR (quarter) / S&M spend (prior quarter) | > 0.75 |
| Rule of 40 | revenue growth% + profit margin% | > 40% |
| Quick Ratio | (new + expansion MRR) / (churned + contraction MRR) | > 4.0 |
Marketplace Metrics
| Metric | Formula | Target |
|---|---|---|
| GMV | sum of all transaction values | 20%+ MoM early-stage |
| Take Rate | net revenue / GMV | 10-20% (model-dependent) |
| Liquidity (Fill Rate) | transactions / listings | > 70% |
| Repeat Rate | users with 2+ txns / total transacting | > 60% |
| Time to First Transaction | median signup-to-transaction | < 3 days |
Consumer / Mobile Metrics
| Metric | Formula | Benchmark |
|---|---|---|
| DAU/MAU Ratio | daily active / monthly active | > 20% good, > 50% exceptional |
| Day 30 Retention | % users active 30d after signup | > 25% |
| K-Factor (Virality) | invites per user x conversion rate | > 1.0 = viral |
| Session Duration | total time / sessions | Context-dependent |
| NPS | % promoters - % detractors | > 50 excellent |
B2B Sales Metrics
| Metric | Formula | Target |
|---|---|---|
| Win Rate | deals won / total opportunities | 20-40% |
| Pipeline Coverage | pipeline value / quota | 3-5x |
| ACV | total contract value / contract years | Track trends |
| Sales Cycle | avg days from opportunity to close | SMB: 30-60d, Enterprise: 120-270d |
Pipeline Conversion Rates
| Stage | Typical Rate |
|---|---|
| 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: Active users growth, user retention (D7/D30), core engagement, qualitative feedback (NPS, interviews).
Ignore for now: Revenue, CAC, unit economics.
Seed ($500K-$2M ARR)
Focus: MRR growth (15-20% MoM), CAC and LTV baselines, gross retention (>85%), product engagement.
Start tracking: Sales efficiency, burn rate, runway.
Series A ($2M-$10M ARR)
Focus: ARR growth (3-5x YoY), unit economics (LTV:CAC >3, payback <18mo), NDR (>100%), burn multiple (<2.0), magic number (>0.5).
Mature tracking: Rule of 40, sales efficiency, pipeline coverage.
Series B+ ($10M+ ARR)
Focus: Rule of 40 (>40%), efficient growth, path to profitability, market leadership.
Tracking Best Practices
Reporting Cadence
| Frequency | Metrics |
|---|---|
| Daily | MRR, active users, signups, conversions |
| Weekly | Growth rates, retention cohorts, sales pipeline |
| Monthly | Full metric suite, board reporting, investor updates |
| Quarterly | Trend analysis, benchmarking, strategy review |
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
Always include: current value, growth rate/trend, context (target or benchmark).
What VCs Want to See
| Round | Key Metrics |
|---|---|
| Seed | MRR growth rate, user retention, early unit economics, product engagement |
| Series A | ARR + growth, CAC payback <18mo, LTV:CAC >3.0, NDR >100%, burn multiple <2.0 |
| Series B+ | Rule of 40 >40%, magic number, path to profitability, market leadership |
Data Infrastructure
Requirements
- Single source of truth (analytics platform)
- Real-time or daily updates for core metrics
- Automated calculations (no manual spreadsheets for recurring metrics)
- Historical tracking for trend analysis and cohort comparisons
Recommended Tools
| Category | Tools |
|---|---|
| Product analytics | Mixpanel, Amplitude, PostHog |
| SaaS metrics | ChartMogul, Baremetrics, ProfitWell |
| BI dashboards | Looker, Metabase, Tableau |
| Cohort analysis | Built-in analytics + spreadsheets for custom analysis |
Common Mistakes
- Vanity metrics — Focus on actionable metrics tied to value, not totals without context
- Too many metrics — Track 5-7 core metrics intensely, not 50 loosely
- Ignoring unit economics — CAC and LTV matter even at seed stage
- Not segmenting — Break down by customer segment, channel, cohort
- Gaming metrics — Optimize for real business outcomes, not dashboard numbers
Metric Calculation Examples
LTV Calculation
ARPU: $200/month Gross Margin: 80% Monthly Churn: 3% LTV = $200 × 0.80 × (1/0.03) = $5,333
Burn Multiple
Net Burn: $150K/month Net New ARR (quarter): $300K Burn Multiple = ($150K × 3) / $300K = 1.5
Interpretation: Spending $1.50 to generate each $1 of new ARR — acceptable efficiency.
Magic Number
Net New ARR (Q2): $400K S&M Spend (Q1): $500K Magic Number = $400K / $500K = 0.80
Interpretation: Above 0.75 threshold — efficient, ready to scale S&M investment.
Quick Ratio
New MRR: $40K Expansion MRR: $15K Churned MRR: $8K Contraction MRR: $4K Quick Ratio = ($40K + $15K) / ($8K + $4K) = 4.58
Interpretation: Above 4.0 — healthy growth significantly outpacing churn.
Investor Metric Presentation
Present metrics with three components:
- Current value — the number itself
- Growth rate or trend — direction and velocity
- Context — benchmark, target, or peer comparison
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 Burn Multiple: 1.8x | Magic Number: 0.65
Quick Start
To implement this framework:
- Identify business model — SaaS, marketplace, consumer, B2B
- Choose 5-7 core metrics — based on stage and model
- Establish tracking — set up analytics and dashboards
- Calculate unit economics — CAC, LTV, payback
- Set targets — use benchmarks from this skill
- Review regularly — weekly for core metrics, monthly for full suite
- Share with team — align on goals and progress
- Update investors — monthly or quarterly reporting
Data Reference
The
data/metrics.csv file contains 42 metrics with:
- Unique ID and category classification
- Formulas for calculation
- Benchmarks by stage (seed, Series A, Series B)
- Interpretation guidance for each metric
- Related metrics for cross-referencing and dependency tracking