Startup Metrics
Know the metrics that matter at each stage and what investors actually look for. Master the A16Z and YC frameworks for measuring startup progress.
When to Use This Skill
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Fundraising prep to know which metrics to highlight
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Board meetings to report on the right KPIs
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Strategic planning to set goals that matter
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Product decisions to understand what to optimize
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Diagnosing problems to find what's broken
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Benchmarking to know if your metrics are good
Methodology Foundation
Aspect Details
Source A16Z (Andreessen Horowitz), YC (Y Combinator), SaaS metrics best practices
Core Principle "Measure what matters. Vanity metrics feel good but don't predict success. Focus on metrics that indicate real product-market fit and sustainable growth."
Why This Matters Wrong metrics lead to wrong decisions. Right metrics reveal truth about your business—good or bad—before it's too late to course-correct.
What Claude Does vs What You Decide
Claude Does You Decide
Structures analysis frameworks Strategic priorities
Synthesizes market data Competitive positioning
Identifies opportunities Resource allocation
Creates strategic options Final strategy selection
Suggests implementation approaches Execution decisions
What This Skill Does
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Identifies key metrics by stage - What to measure when
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Calculates core SaaS metrics - ARR, MRR, churn, LTV, CAC
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Benchmarks performance - Good vs. great vs. concerning
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Diagnoses metric problems - What poor metrics indicate
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Prepares investor-ready dashboards - What VCs want to see
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Prioritizes metric improvement - What to fix first
How to Use
Get Stage-Appropriate Metrics
I'm a [stage] startup in [industry]. What metrics should I be tracking? What benchmarks should I aim for?
Calculate Core Metrics
Help me calculate my SaaS metrics: [Provide: MRR, customer count, churn data, acquisition costs]
Diagnose Metric Problems
My metrics: [list metrics] What's concerning? What should I focus on fixing?
Instructions
Step 1: Understand Metrics by Stage
Metrics Framework by Stage
Pre-Seed (Validation Stage)
Focus: Is this a real problem worth solving?
| Metric | Why It Matters | Good Signal |
|---|---|---|
| Problem interviews | Validate problem exists | 10+ interviews, 70%+ confirm |
| Solution interviews | Validate solution fits | 60%+ would use |
| LOIs/Waitlist | Real interest signal | Signed commitments |
| Engagement (if prototype) | People want to use it | Daily active usage |
Not important yet: Revenue, CAC, LTV, growth rate
Seed (Product-Market Fit Stage)
Focus: Do people want this? Will they pay?
| Metric | Why It Matters | Good Signal |
|---|---|---|
| MRR/ARR | Revenue traction | Any consistent revenue |
| MoM Growth | Trajectory | 15-20%+ MoM |
| Retention | PMF indicator | >80% monthly retention |
| NPS | Customer love | >50 NPS |
| Engagement | Product usage | DAU/MAU >20% |
Emerging importance: Early unit economics, CAC/LTV ratio
Series A (Scale Stage)
Focus: Can this scale? Are unit economics viable?
| Metric | Why It Matters | Good Signal |
|---|---|---|
| ARR | Revenue scale | $1-2M+ |
| ARR Growth | YoY trajectory | 3x YoY |
| Net Revenue Retention | Expansion + churn | >100% (ideally >120%) |
| LTV/CAC | Unit economics | >3:1 |
| CAC Payback | Efficiency | <18 months |
| Gross Margin | Business viability | >70% (SaaS) |
Series B+ (Optimization Stage)
Focus: Efficiency and path to profitability
| Metric | Why It Matters | Good Signal |
|---|---|---|
| Magic Number | Sales efficiency | >0.75 |
| Rule of 40 | Growth + profitability | >40% |
| Burn Multiple | Cash efficiency | <2x |
| Net Dollar Retention | Account growth | >120% |
| Quick Ratio | Growth quality | >4 |
Step 2: Calculate Core SaaS Metrics
Metric Calculations
Revenue Metrics
MRR (Monthly Recurring Revenue): MRR = Sum of all recurring revenue per month
ARR (Annual Recurring Revenue): ARR = MRR × 12
MRR Components:
- New MRR: Revenue from new customers
- Expansion MRR: Upgrades and cross-sells
- Contraction MRR: Downgrades
- Churned MRR: Lost customers
Net New MRR: Net New MRR = New + Expansion - Contraction - Churned
Growth Metrics
MoM Growth Rate: Growth = (MRR this month - MRR last month) / MRR last month × 100
YoY Growth Rate: YoY = (ARR this year - ARR last year) / ARR last year × 100
CMGR (Compound Monthly Growth Rate): CMGR = (Ending MRR / Starting MRR)^(1/months) - 1
Retention Metrics
Gross Revenue Retention (GRR): GRR = (MRR - Churned MRR - Contraction MRR) / MRR × 100 Maximum: 100% (doesn't include expansion)
Net Revenue Retention (NRR) / Net Dollar Retention (NDR): NRR = (MRR + Expansion - Contraction - Churned) / MRR × 100 Can be >100% (good!)
Logo Churn: Logo Churn = Customers lost / Customers at start of period × 100
Revenue Churn: Revenue Churn = Churned MRR / MRR at start of period × 100
Unit Economics
Customer Acquisition Cost (CAC): CAC = Total Sales & Marketing Spend / New Customers Acquired
Lifetime Value (LTV): Simple: LTV = ARPU × Gross Margin × Customer Lifetime With churn: LTV = (ARPU × Gross Margin) / Monthly Churn Rate
LTV/CAC Ratio: LTV/CAC = LTV / CAC Good: >3:1
CAC Payback Period: Payback = CAC / (ARPU × Gross Margin) Good: <18 months
Efficiency Metrics
Magic Number: Magic Number = Net New ARR this quarter / S&M Spend last quarter
1.0 = Very efficient 0.75-1.0 = Good <0.5 = Inefficient
Rule of 40: Rule of 40 = Revenue Growth Rate + Profit Margin
40% = Healthy balance of growth and profitability
Burn Multiple: Burn Multiple = Net Burn / Net New ARR <1x = Excellent 1-2x = Good
2x = Concerning
Quick Ratio: Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)
4 = Excellent growth quality
Step 3: Benchmark Against Standards
Metric Benchmarks
SaaS Benchmarks by Stage
| Metric | Seed | Series A | Series B |
|---|---|---|---|
| ARR | <$1M | $1-5M | $5-15M |
| MoM Growth | 15-25% | 10-15% | 5-10% |
| YoY Growth | 3x+ | 2-3x | 1.5-2x |
| Gross Margin | >60% | >70% | >75% |
| LTV/CAC | >3x | >3x | >4x |
| CAC Payback | <24 mo | <18 mo | <12 mo |
| NRR | >100% | >110% | >120% |
| Logo Churn | <5%/mo | <3%/mo | <2%/mo |
What "Good" Looks Like by Company Type
SMB SaaS (low touch):
- Logo churn: 3-5% monthly
- NRR: 80-100%
- LTV/CAC: >3x
- CAC: <$1,000
Mid-Market SaaS:
- Logo churn: 1-2% monthly
- NRR: 100-120%
- LTV/CAC: >4x
- CAC: $5,000-20,000
Enterprise SaaS:
- Logo churn: <1% monthly
- NRR: 110-150%
- LTV/CAC: >5x
- CAC: $20,000-100,000+
Engagement Benchmarks
| Metric | Consumer | B2B SaaS |
|---|---|---|
| DAU/MAU | >20% | >40% |
| D1 Retention | >40% | >50% |
| D7 Retention | >20% | >30% |
| D30 Retention | >10% | >20% |
Step 4: Diagnose Problems
Metric Diagnosis Guide
If MRR Growth is Slowing...
Possible causes:
- Market saturation (ran out of easy customers)
- Product-market fit weakening (competition, changing needs)
- Sales inefficiency (declining magic number)
- High churn eating new growth
Diagnostic questions:
- Is logo churn increasing?
- Is CAC increasing?
- Is conversion rate declining?
- Is expansion revenue flat?
If Churn is High...
Possible causes:
- Onboarding problems (never got value)
- Product gaps (missing critical features)
- Wrong customers (sold to people who shouldn't buy)
- Competition (better alternatives emerged)
- Pricing mismatch (not worth it)
Diagnostic questions:
- When do customers churn? (early = onboarding, late = value)
- What's the churn reason? (survey departures)
- Which segments churn most?
- What's usage pattern before churn?
If CAC is Too High...
Possible causes:
- Wrong channel (expensive acquisition)
- Poor targeting (low conversion)
- Weak positioning (hard to differentiate)
- Long sales cycles (expensive process)
- Market competition (bidding up costs)
Diagnostic questions:
- What's CAC by channel?
- What's conversion rate at each stage?
- How long is sales cycle?
- What's win rate vs. competition?
If LTV is Too Low...
Possible causes:
- High churn (short lifetime)
- Low ARPU (underpriced or wrong segment)
- No expansion revenue (no upsell path)
- Low gross margin (cost too high)
Diagnostic questions:
- What's average customer lifespan?
- What's ARPU distribution?
- What's expansion revenue %?
- Are costs scaling with revenue?
Quick Diagnostic Table
| Symptom | Primary Metric | Secondary Checks |
|---|---|---|
| Revenue plateau | MRR growth rate | New vs. expansion breakdown |
| Customers leaving | Churn rate | Cohort analysis, exit surveys |
| Expensive growth | CAC, Magic Number | Channel efficiency, conversion |
| Low profitability | Gross margin | COGS breakdown, pricing |
| "Leaky bucket" | Quick Ratio | Churn + expansion balance |
Step 5: Create Investor Dashboard
Investor Metrics Dashboard
What Investors Want to See (by stage)
Seed Deck Metrics:
- MRR and growth trajectory
- Customer count and retention
- Engagement metrics
- Early unit economics (if available)
Series A Deck Metrics:
- ARR and YoY growth
- Net Revenue Retention
- LTV/CAC ratio
- CAC Payback
- Cohort analysis
- Customer breakdown by segment
Series B+ Deck Metrics: All of above plus:
- Magic Number
- Rule of 40
- Burn Multiple
- Detailed unit economics by segment
- Efficiency trends over time
Dashboard Template
[Company] Metrics Dashboard
As of [Date]
Revenue
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ARR: $[X]
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MRR: $[X]
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MoM Growth: [X]%
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YoY Growth: [X]%
Customers
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Total Customers: [X]
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New This Month: [X]
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Churned This Month: [X]
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Logo Churn Rate: [X]%
Retention
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Gross Revenue Retention: [X]%
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Net Revenue Retention: [X]%
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Average Customer Lifespan: [X] months
Unit Economics
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ARPU: $[X]
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CAC: $[X]
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LTV: $[X]
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LTV/CAC: [X]:1
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Payback: [X] months
Efficiency
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Gross Margin: [X]%
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Magic Number: [X]
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Burn Multiple: [X]
Engagement
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DAU: [X]
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DAU/MAU: [X]%
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Feature adoption: [X]%
Examples
Example 1: Seed Stage Metrics Analysis
Input:
"I'm raising Seed. Here are my metrics. How do they look?" MRR: $15K, 6 months old, 40 customers MoM growth: 20% average Churn: 5% monthly CAC: $200
Output:
Metrics Analysis: Seed Stage
Current State
Metric Value Benchmark Assessment
MRR $15K
Early but positive
MoM Growth 20% 15-25% ✅ Good
Customer Count 40
Reasonable for stage
Monthly Churn 5% <5% ⚠️ At threshold
CAC $200 <$500 SMB ✅ Efficient
Calculated Metrics
ARPU: $15,000 / 40 = $375/month
Implied LTV (simple):
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Customer lifespan: 1 / 0.05 = 20 months
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LTV = $375 × 20 = $7,500
LTV/CAC: $7,500 / $200 = 37.5:1 ✅ Excellent
CAC Payback: $200 / $375 = 0.5 months ✅ Excellent
Analysis
Strengths:
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Growth rate is healthy (20% MoM = 8.9x annual)
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CAC is very efficient
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LTV/CAC is strong (though churn may be early-stage noise)
Concerns:
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5% monthly churn = 60% annual churn (high for SaaS)
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Small sample size (40 customers)
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Need to see cohort retention to understand true churn
Questions to Answer:
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Is 5% churn consistent across cohorts or improving?
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What's the activation rate? (Are churners ever getting value?)
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What's usage pattern of retained customers?
Investor Readiness
For Seed, you need to show:
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✅ Growth trajectory (20% MoM is good)
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✅ Efficient acquisition
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⚠️ Retention story (need cohort data)
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❓ Path to scale
Recommendation:
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Highlight growth and CAC efficiency
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Show cohort data if recent cohorts retain better
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Explain what you're doing to improve retention
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Project what metrics look like with improved retention
Projected Growth
Metric Now +6 months (at 20% MoM) +12 months
MRR $15K $45K $133K
ARR $180K $540K $1.6M
Customers 40 ~100 ~250
Example 2: Diagnose Declining Growth
Input:
"My MoM growth dropped from 25% to 8% over 4 months. What's happening?"
Output:
Growth Decline Diagnosis
Data Needed
Metric 4 months ago Now Change
New MRR ? ?
Expansion MRR ? ?
Churned MRR ? ?
Logo Churn ? ?
New Customers ? ?
Sales Pipeline ? ?
CAC ? ?
Conversion Rate ? ?
Diagnostic Framework
Question 1: Is this a LEAKY BUCKET problem?
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Are you acquiring the same # of customers but losing more?
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Check: New MRR vs. Churned MRR
Question 2: Is this an ACQUISITION problem?
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Are you getting fewer new customers?
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Check: New customer count, pipeline, conversion rate
Question 3: Is this an EXPANSION problem?
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Has expansion revenue slowed?
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Check: Expansion MRR trend, upsell rate
Common Scenarios
Scenario A: Churn increased Symptoms: New MRR stable, but churned MRR grew Causes: Product issues, wrong customers, competition Fix: Churn analysis, customer success, product fixes
Scenario B: New acquisition slowed Symptoms: Churned MRR stable, but new MRR decreased Causes: Market saturation, CAC increased, marketing efficiency dropped Fix: New channels, positioning, sales optimization
Scenario C: Expansion stalled Symptoms: New + churn stable, but expansion dropped Causes: Product limits hit, no upsell path, customer saturation Fix: New features, pricing tiers, account management
Scenario D: Multiple factors Often it's a combination—growth hides problems until it slows
Investigation Checklist
□ Break down MRR: New, Expansion, Contraction, Churned □ Compare ratios: Quick Ratio trend □ Cohort analysis: Are newer cohorts worse? □ Channel breakdown: Which channels slowed? □ Segment analysis: Which customer type slowed? □ Funnel metrics: Where is conversion dropping? □ Win/loss analysis: Why are deals not closing? □ Churn interviews: Why are customers leaving?
Next Steps
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Get the data breakdown (above table)
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Identify primary driver (acquisition, churn, or expansion)
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Root cause analysis on that driver
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Hypothesis and test solutions
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Monitor leading indicators weekly
Example 3: Series A Readiness Check
Input:
"Am I ready for Series A? ARR: $1.2M, NRR: 108%, LTV/CAC: 4.5x, YoY growth: 180%"
Output:
Series A Readiness Assessment
Metrics Scorecard
Metric Your Value Series A Bar Status
ARR $1.2M $1-2M ✅ Pass
YoY Growth 180% 100-200% ✅ Strong
NRR 108%
100% ✅ Pass
LTV/CAC 4.5x
3x ✅ Strong
What You Have
✅ Revenue scale: $1.2M ARR is at the low end of Series A but acceptable with strong growth ✅ Growth rate: 180% YoY is excellent (shows demand) ✅ Retention: 108% NRR means customers expand (PMF signal) ✅ Unit economics: 4.5x LTV/CAC is healthy
What Investors Will Ask
You'll need answers to:
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CAC Payback? (Need to calculate)
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Gross Margin? (Should be >70% for SaaS)
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Logo vs. Revenue Churn? (Both matter)
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Cohort data? (Do later cohorts retain better?)
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Segmentation? (Which customer type is best?)
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Magic Number? (Sales efficiency)
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Path to $10M ARR? (How do you 8x?)
Additional Metrics Needed
Metric Required Nice to Have
CAC Payback ✅ Yes
Gross Margin ✅ Yes
MoM Growth Trend ✅ Yes
Customer Count ✅ Yes
Cohort Retention ✅ Yes
Magic Number
✅
Burn Multiple
✅
ACV Distribution
✅
Series A Narrative
Based on your metrics, your story is:
"We've found product-market fit in [segment]. $1.2M ARR growing 180% YoY with 108% NRR proves customers want this and expand. Our 4.5x LTV/CAC shows we can acquire customers profitably. With Series A, we'll [go-to-market strategy] to reach $5M ARR in 18 months."
Recommendations
Strengthen weak spots before raising:
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Calculate and optimize CAC Payback
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Document gross margin
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Build cohort analysis
Prepare growth story:
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What drives growth? (channels, segments)
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Why will this continue?
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What does $10M ARR look like?
Document efficiency:
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Magic Number (if positive)
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Burn Multiple (if reasonable)
Verdict: You're in the range for Series A. Focus on the narrative and missing metrics before starting outreach.
Checklists & Templates
Metrics Tracking Checklist
Monthly Metrics Review
Revenue
□ MRR calculated (New + Expansion - Contraction - Churned) □ ARR updated □ MoM growth rate □ YoY comparison (if applicable)
Customers
□ Customer count □ New customers □ Churned customers □ Logo churn rate
Retention
□ Gross Revenue Retention □ Net Revenue Retention □ Cohort retention updated
Unit Economics
□ CAC (by channel if possible) □ LTV updated □ LTV/CAC ratio □ Payback period
Engagement
□ DAU/MAU □ Feature adoption □ Key usage metrics
Efficiency (Series A+)
□ Magic Number □ Burn Multiple □ Rule of 40
Skill Boundaries
What This Skill Does Well
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Structuring strategic analysis
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Identifying market opportunities
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Creating strategic frameworks
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Synthesizing competitive data
What This Skill Cannot Do
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Replace market research
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Guarantee strategic success
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Know proprietary competitor info
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Make executive decisions
References
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A16Z. "16 Startup Metrics" (Andreessen Horowitz)
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YC. "Startup Metrics That Matter" (Y Combinator)
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Tunguz, Tomasz. "SaaS Metrics" (Redpoint Ventures)
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Reforge. "Retention Curves" & "Growth Accounting"
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OpenView Partners. "SaaS Benchmarks"
Related Skills
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yc-pitch-deck - Present metrics to investors
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lean-canvas - Business model context
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pricing-strategy - ARPU optimization
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first-principles - Challenge metric assumptions
Skill Metadata
- Mode: centaur
name: startup-metrics category: startup subcategory: measurement version: 1.0 author: MKTG Skills source_expert: A16Z, YC, SaaS Metrics Community source_work: 16 Startup Metrics, YC Library difficulty: intermediate estimated_value: $5,000 financial modeling consulting tags: [metrics, SaaS, startup, fundraising, KPIs, A16Z, YC] created: 2026-01-25 updated: 2026-01-25