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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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