
Startup Metrics Framework
- 17 installs
- 82 repo stars
- Updated August 2, 2026
- aaaaqwq/claude-code-skills
startup-metrics-framework is a Claude Code skill that provides formulas and benchmarks for tracking and optimizing startup and SaaS metrics from seed through Series A.
About
startup-metrics-framework is a reference for tracking, calculating, and optimizing key startup and SaaS performance metrics from seed through Series A. A founder or operator uses it when working out CAC, LTV, unit economics, burn multiple, or Rule of 40. It provides formulas and benchmark targets in a bundled implementation playbook.
- Reference for calculating startup and SaaS metrics from seed through Series A
- Covers CAC, LTV, LTV:CAC, unit economics, burn multiple, and Rule of 40
- Ships an implementation playbook with formulas and benchmark targets
Startup Metrics Framework by the numbers
- 17 all-time installs (skills.sh)
- Ranked #2,073 of 3,280 Productivity & Planning skills by installs in the Skillselion catalog
- Data as of Aug 3, 2026 (Skillselion catalog sync)
startup-metrics-framework capabilities & compatibility
- Capabilities
- metrics analysis · unit economics · benchmarking
- Use cases
- data analysis · research
- Pricing
- Free
What startup-metrics-framework says it does
Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.
LTV:CAC > 3.0 = Healthy
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| Installs | 17 |
|---|---|
| repo stars | ★ 82 |
| Last updated | August 2, 2026 |
| Repository | aaaaqwq/claude-code-skills ↗ |
What it does
Calculate and benchmark startup SaaS metrics like CAC, LTV, and Rule of 40 for a given stage.
Who is it for?
Founders and operators calculating and benchmarking SaaS unit economics
Skip if: Tasks outside startup performance metrics
When should I use this skill?
The user asks about CAC, LTV, unit economics, burn multiple, rule of 40, or marketplace metrics
What you get
Correctly calculated and benchmarked startup metrics for the company's stage.
- Calculated metric values with stage benchmarks
By the numbers
- LTV:CAC > 3.0 = healthy benchmark
- Seed stage 15-20% MoM growth target
Files
Startup Metrics Framework
Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.
Use this skill when
- Working on startup metrics framework tasks or workflows
- Needing guidance, best practices, or checklists for startup metrics framework
Do not use this skill when
- The task is unrelated to startup metrics framework
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.
Startup Metrics Framework Implementation Playbook
This file contains detailed patterns, checklists, and code samples referenced by the skill.
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)
MRR = Σ (Active Subscriptions × Monthly Price)ARR (Annual Recurring Revenue)
ARR = MRR × 12Growth Rate
MoM Growth = (This Month MRR - Last Month MRR) / Last Month MRR
YoY Growth = (This Year ARR - Last Year ARR) / Last Year ARRTarget 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)
CAC = Total S&M Spend / New Customers AcquiredInclude: Sales salaries, marketing spend, tools, overhead
LTV (Lifetime Value)
LTV = ARPU × Gross Margin% × (1 / Churn Rate)Simplified:
LTV = ARPU × Average Customer Lifetime × Gross Margin%LTV:CAC Ratio
LTV:CAC = LTV / CACBenchmarks:
- LTV:CAC > 3.0 = Healthy
- LTV:CAC 1.0-3.0 = Needs improvement
- LTV:CAC < 1.0 = Unsustainable
CAC Payback Period
CAC Payback = CAC / (ARPU × Gross Margin%)Benchmarks:
- < 12 months = Excellent
- 12-18 months = Good
- > 24 months = Concerning
Cash Efficiency Metrics
Burn Rate
Monthly Burn = Monthly Revenue - Monthly ExpensesNegative burn = losing money (typical early-stage)
Runway
Runway (months) = Cash Balance / Monthly Burn RateTarget: Always maintain 12-18 months runway
Burn Multiple
Burn Multiple = Net Burn / Net New ARRBenchmarks:
- < 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:
Net New MRR = New MRR + Expansion MRR - Contraction MRR - Churned MRRRetention Metrics
Logo Retention
Logo Retention = (Customers End - New Customers) / Customers StartDollar Retention (NDR - Net Dollar Retention)
NDR = (ARR Start + Expansion - Contraction - Churn) / ARR StartBenchmarks:
- NDR > 120% = Best-in-class
- NDR 100-120% = Good
- NDR < 100% = Needs work
Gross Retention
Gross Retention = (ARR Start - Churn - Contraction) / ARR StartBenchmarks:
- > 90% = Excellent
- 85-90% = Good
- < 85% = Concerning
SaaS-Specific Metrics
Magic Number
Magic Number = Net New ARR (quarter) / S&M Spend (prior quarter)Benchmarks:
- > 0.75 = Efficient, ready to scale
- 0.5-0.75 = Moderate efficiency
- < 0.5 = Inefficient, don't scale yet
Rule of 40
Rule of 40 = Revenue Growth Rate% + Profit Margin%Benchmarks:
- > 40% = Excellent
- 20-40% = Acceptable
- < 20% = Needs improvement
Example: 50% growth + (10%) margin = 40% ✓
Quick Ratio
Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)Benchmarks:
- > 4.0 = Healthy growth
- 2.0-4.0 = Moderate
- < 2.0 = Churn problem
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 GMVTarget: 20%+ MoM early-stage
Take Rate
Take Rate = Net Revenue / GMVTypical 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 / MAUBenchmarks:
- > 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 RateExample: 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 OpportunitiesTarget: 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 / QuotaTarget: 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 monthsInclude:
- Current value
- Growth rate or trend
- Context (target, benchmark)
Additional Resources
Reference Files
- `references/metric-definitions.md` - Complete definitions and formulas for 50+ metrics
- `references/benchmarks-by-stage.md` - Target ranges for each metric by company stage
- `references/calculation-examples.md` - Step-by-step calculation examples
Example Files
- `examples/saas-metrics-dashboard.md` - Complete metrics suite for B2B SaaS company
- `examples/marketplace-metrics.md` - Marketplace-specific metrics with examples
- `examples/investor-metrics-deck.md` - How to present metrics for fundraising
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
For detailed definitions, benchmarks, and examples, see references/ and examples/.