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Quick reference for any SaaS finance metric without deep teaching. Use this when you need a fast formula lookup, benchmark check, or decision framework reminder. For detailed explanations, calculation
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SOC 職業分類に基づく
Full-stack software engineering via Claude Code CLI session with self-correction.
Review code for correctness, style, security vulnerabilities, and potential issues.
Guide product managers through evaluating whether to scale, test, or kill an acquisition channel based on unit economics (CAC, LTV, payback), customer quality (retention, NRR), and scalability (magic
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Defines the two-axis mental model that distinguishes Director-level thinking from PM thinking: Altitude (how wide you zoom out) and Horizon (how far ahead you look). Use this to understand what actual
Diagnose overall SaaS business health by analyzing growth, retention, unit economics, and capital efficiency metrics together. Use this to identify problems early, prioritize actions by urgency, and d
| name | Finance Metrics Quickref |
| description | Quick reference for any SaaS finance metric without deep teaching. Use this when you need a fast formula lookup, benchmark check, or decision framework reminder. For detailed explanations, calculation |
Type: component
Quick reference for any SaaS finance metric without deep teaching. Use this when you need a fast formula lookup, benchmark check, or decision framework reminder. For detailed explanations, calculations, and examples, see the related deep-dive skills.
This is not a teaching tool—it's a cheat sheet optimized for speed. Scan, find, apply.
Metrics are organized into four families:
Use this when:
Don't use this when:
saas-revenue-growth-metrics or saas-economics-efficiency-metrics)| Metric | Formula | What It Measures | Good Benchmark | Red Flag |
|---|---|---|---|---|
| Revenue | Total sales before expenses | Top-line money earned | Growth rate >20% YoY (varies by stage) | Revenue growing slower than costs |
| ARPU | Total Revenue / Total Users | Revenue per individual user | Varies by model; track trend | ARPU declining cohort-over-cohort |
| ARPA | MRR / Active Accounts | Revenue per customer account | SMB: $100-$1K; Mid: $1K-$10K; Ent: $10K+ | High ARPA + low ARPU (undermonetized seats) |
| ACV | Annual Recurring Revenue per Contract | Annualized contract value | SMB: $5K-$25K; Mid: $25K-$100K; Ent: $100K+ | ACV declining (moving downmarket unintentionally) |
| MRR/ARR | MRR × 12 = ARR | Predictable recurring revenue | Growth + quality matter; track components | New MRR declining while churn stable/growing |
| Churn Rate | Customers Lost / Starting Customers | % of customers who cancel | Monthly <2% great, <5% ok; Annual <10% great | Churn increasing cohort-over-cohort |
| NRR | (Start ARR + Expansion - Churn - Contraction) / Start ARR × 100 | Revenue retention + expansion | >120% excellent; 100-120% good; 90-100% ok | NRR <100% (base is contracting) |
| Expansion Revenue | Upsells + Cross-sells + Usage Growth | Additional revenue from existing customers | 20-30% of total revenue | Expansion <10% of MRR |
| Quick Ratio | (New MRR + Expansion MRR) / (Churned MRR + Contraction) | Revenue gains vs. losses | >4 excellent; 2-4 healthy; <2 leaky bucket | Quick Ratio <2 (leaky bucket) |
| Gross Margin | (Revenue - COGS) / Revenue × 100 | % of revenue after direct costs | SaaS: 70-85% good; <60% concerning | Gross margin <60% or declining |
| CAC | Total S&M Spend / New Customers | Cost to acquire one customer | Varies: Ent $10K+ ok; SMB <$500 | CAC increasing while LTV flat |
| LTV | ARPU × Gross Margin % / Churn Rate | Total revenue from one customer | Must be 3x+ CAC; varies by segment | LTV declining cohort-over-cohort |
| LTV:CAC | LTV / CAC | Unit economics efficiency | 3:1 healthy; <1:1 unsustainable; >5:1 underinvesting | LTV:CAC <1.5:1 |
| Payback Period | CAC / (Monthly ARPU × Gross Margin %) | Months to recover CAC | <12 months great; 12-18 ok; >24 concerning | Payback >24 months (cash trap) |
| Contribution Margin | (Revenue - All Variable Costs) / Revenue × 100 | True contribution after variable costs | 60-80% good for SaaS; <40% concerning | Contribution margin <40% |
| Burn Rate | Monthly Cash Spent - Revenue | Cash consumed per month | Net burn <$200K manageable early; <$500K growth | Net burn accelerating |
| Runway | Cash Balance / Monthly Net Burn | Months until money runs out | 12+ months good; 6-12 ok; <6 crisis | Runway <6 months |
| OpEx | S&M + R&D + G&A | Costs to run the business | Should grow slower than revenue | OpEx growing faster than revenue |
| Net Income | Revenue - All Expenses | Actual profit/loss | Early negative ok; mature 10-20%+ margin | Losses accelerating without growth |
| Rule of 40 | Revenue Growth % + Profit Margin % | Balance of growth vs. efficiency | >40 healthy; 25-40 ok; <25 concerning | Rule of 40 <25 |
| Magic Number | (Q Revenue - Prev Q Revenue) × 4 / Prev Q S&M | S&M efficiency | >0.75 efficient; 0.5-0.75 ok; <0.5 fix GTM | Magic Number <0.5 |
| Operating Leverage | Revenue Growth vs. OpEx Growth | Scaling efficiency | Revenue growth > OpEx growth | OpEx growing faster than revenue |
| Gross vs. Net Revenue | Net = Gross - Discounts - Refunds - Credits | What you actually keep | Refunds <10%; discounts <20% | Refunds >10% (product problem) |
| Revenue Concentration | Top N Customers / Total Revenue | Dependency on largest customers | Top customer <10%; Top 10 <40% | Top customer >25% (existential risk) |
| Revenue Mix | Product/Segment Revenue / Total Revenue | Portfolio composition | No single product >60% ideal | Single product >80% (no diversification) |
| Cohort Analysis | Group customers by join date; track behavior | Whether business improving or degrading | Recent cohorts same/better than old | Newer cohorts perform worse |
| CAC Payback by Channel | CAC / Monthly Contribution (by channel) | Payback by acquisition channel | Compare across channels | One channel far worse than others |
| Gross Margin Payback | CAC / (Monthly ARPU × Gross Margin %) | Payback using actual profit | Typically 1.5-2x simple payback | Payback using margin >36 months |
| Unit Economics | Revenue per unit - Cost per unit | Profitability of each "unit" | Positive contribution required | Negative contribution margin |
| Segment Payback | CAC / Monthly Contribution (by segment) | Payback by customer segment | Compare to allocate resources | One segment unprofitable |
| Incrementality | Revenue caused by action - Baseline | True impact of marketing/promo | Measure with holdout tests | Celebrating revenue that would've happened anyway |
| Working Capital | Cash timing between revenue and collection | Cash vs. revenue timing | Annual upfront > monthly billing | Long payment terms killing runway |
Use these frameworks to combine metrics for common PM decisions.
Ask:
Build if:
Don't build if:
Metrics to check: Revenue, Gross Margin, LTV, Contribution Margin
Ask:
Scale if:
Don't scale if:
Metrics to check: CAC, LTV, LTV:CAC, Payback Period, NRR, Magic Number
Ask:
Implement if:
Don't change if:
Metrics to check: ARPU, ARPA, Churn Rate, NRR, CAC Payback
Check by stage:
Early Stage (Pre-$10M ARR):
Growth Stage ($10M-$50M ARR):
Scale Stage ($50M+ ARR):
Metrics to check: Revenue Growth, NRR, LTV:CAC, Rule of 40, Magic Number, Gross Margin
| Red Flag | What It Means | Action |
|---|---|---|
| Churn increasing cohort-over-cohort | Product-market fit degrading | Stop scaling acquisition; fix retention first |
| NRR <100% | Base is contracting | Fix expansion or reduce churn before scaling |
| Revenue churn > logo churn | Losing big customers | Investigate why high-value customers leave |
| Quick Ratio <2 | Leaky bucket (barely outpacing losses) | Fix retention before scaling acquisition |
| Expansion revenue <10% of MRR | No upsell/cross-sell engine | Build expansion paths |
| Revenue concentration >50% in top 10 customers | Existential dependency risk | Diversify customer base |
| Red Flag | What It Means | Action |
|---|---|---|
| LTV:CAC <1.5:1 | Buying revenue at a loss | Reduce CAC or increase LTV before scaling |
| Payback >24 months | Cash trap (long cash recovery) | Negotiate annual upfront or reduce CAC |
| Gross margin <60% | Low profitability per dollar | Increase prices or reduce COGS |
| CAC increasing while LTV flat | Unit economics degrading | Optimize conversion or reduce sales cycle |
| Contribution margin <40% | Unprofitable after variable costs | Cut variable costs or increase prices |
| Red Flag | What It Means | Action |
|---|---|---|
| Runway <6 months | Survival crisis | Raise capital immediately or cut burn |
| Net burn accelerating without revenue growth | Burning faster without results | Cut costs or increase revenue urgency |
| OpEx growing faster than revenue | Negative operating leverage | Freeze hiring; optimize spend |
| Rule of 40 <25 | Burning cash without growth | Improve growth or cut to profitability |
| Magic Number <0.5 | S&M engine broken | Fix GTM efficiency before scaling spend |
Prioritizing features:
Evaluating channels:
Pricing decisions:
Business health:
Board/investor reporting:
You are deciding whether to build a premium export feature.
Quick output:
Paid social is generating many signups but weak retention.
Quick output:
saas-revenue-growth-metrics — Detailed guidance on revenue, retention, and growth metrics (13 metrics)saas-economics-efficiency-metrics — Detailed guidance on unit economics and capital efficiency (17 metrics)feature-investment-advisor — Uses these metrics to evaluate feature ROIacquisition-channel-advisor — Uses these metrics to evaluate channel viabilityfinance-based-pricing-advisor — Uses these metrics to evaluate pricing changesbusiness-health-diagnostic — Uses these metrics to diagnose business healthresearch/finance/Finance_QuickRef.mdresearch/finance/Finance for Product Managers.mdresearch/finance/Finance_For_PMs.Putting_It_Together_Synthesis.md