--- name: finance-metrics-quickref description: Look up SaaS finance metrics, formulas, and benchmarks fast. Use when you need a quick metric definition, formula, or benchmark during analysis. intent: >- 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. type: component best_for: - "Quick metric lookups during product or finance reviews" - "Checking formulas and benchmarks without reading a long explainer" - "Refreshing decision rules for common SaaS metrics" scenarios: - "What is the formula for NRR and what is a good benchmark?" - "Give me a quick reference for CAC payback and Rule of 40" - "I need a fast SaaS metrics cheat sheet for a business review" --- ## Purpose 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. ## Key Concepts ### Metric Categories Metrics are organized into four families: 1. **Revenue & Growth** — Top-line money (revenue, ARPU, ARPA, MRR/ARR, churn, NRR, expansion) 2. **Unit Economics** — Customer-level profitability (CAC, LTV, payback, margins) 3. **Capital Efficiency** — Cash management (burn rate, runway, OpEx, net income) 4. **Efficiency Ratios** — Growth vs. profitability balance (Rule of 40, magic number) ### When to Use This Skill **Use this when:** - You need a quick formula or benchmark - You're preparing for a board meeting or investor call - You're evaluating a decision and need to check which metrics matter - You want to identify red flags quickly **Don't use this when:** - You need detailed calculation guidance (use `saas-revenue-growth-metrics` or `saas-economics-efficiency-metrics`) - You're learning these metrics for the first time (start with deep-dive skills) - You need examples and common pitfalls (covered in related skills) --- ## Application ### All Metrics Reference Table | **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 | --- ### Quick Decision Frameworks Use these frameworks to combine metrics for common PM decisions. #### Framework 1: Should We Build This Feature? **Ask:** 1. **Revenue impact?** Direct (pricing, add-on) or indirect (retention, conversion)? 2. **Margin impact?** What's the COGS? Does it dilute margins? 3. **ROI?** Revenue impact / Development cost **Build if:** - ROI >3x in year one (direct monetization), OR - LTV impact >10x development cost (retention), OR - Strategic value overrides short-term ROI **Don't build if:** - Negative contribution margin even with optimistic adoption - Payback period exceeds average customer lifetime **Metrics to check:** Revenue, Gross Margin, LTV, Contribution Margin --- #### Framework 2: Should We Scale This Acquisition Channel? **Ask:** 1. **Unit economics?** CAC, LTV, LTV:CAC ratio 2. **Cash efficiency?** Payback period 3. **Customer quality?** Cohort retention, NRR by channel 4. **Scalability?** Magic Number, addressable volume **Scale if:** - LTV:CAC >3:1 AND - Payback <18 months AND - Customer quality meets/beats other channels AND - Magic Number >0.75 **Don't scale if:** - LTV:CAC <1.5:1 AND - No clear path to improvement **Metrics to check:** CAC, LTV, LTV:CAC, Payback Period, NRR, Magic Number --- #### Framework 3: Should We Change Pricing? **Ask:** 1. **ARPU/ARPA impact?** Will revenue per customer increase? 2. **Conversion impact?** Help or hurt trial-to-paid conversion? 3. **Churn impact?** Create churn risk or reduce it? 4. **NRR impact?** Enable expansion or create contraction? **Implement if:** - Net revenue impact positive after churn risk - Can test with segment before broad rollout **Don't change if:** - High churn risk without offsetting expansion - Can't test hypothesis before committing **Metrics to check:** ARPU, ARPA, Churn Rate, NRR, CAC Payback --- #### Framework 4: Is the Business Healthy? **Check by stage:** **Early Stage (Pre-$10M ARR):** - Growth Rate >50% YoY - LTV:CAC >3:1 - Gross Margin >70% - Runway >12 months **Growth Stage ($10M-$50M ARR):** - Growth Rate >40% YoY - NRR >100% - Rule of 40 >40 - Magic Number >0.75 **Scale Stage ($50M+ ARR):** - Growth Rate >25% YoY - NRR >110% - Rule of 40 >40 - Profit Margin >10% **Metrics to check:** Revenue Growth, NRR, LTV:CAC, Rule of 40, Magic Number, Gross Margin --- ### Red Flags by Category #### Revenue & Growth Red Flags | **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 | #### Unit Economics Red Flags | **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 | #### Capital Efficiency Red Flags | **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 | --- ### When to Use Which Metric **Prioritizing features:** - Revenue impact → Revenue, ARPU, Expansion Revenue - Margin impact → Gross Margin, Contribution Margin - ROI → LTV impact, Development cost **Evaluating channels:** - Acquisition cost → CAC, CAC by Channel - Customer value → LTV, NRR by Channel - Payback → Payback Period, CAC Payback by Channel - Scalability → Magic Number **Pricing decisions:** - Monetization → ARPU, ARPA, ACV - Impact → Churn Rate, NRR, Expansion Revenue - Efficiency → CAC Payback (will pricing change affect it?) **Business health:** - Growth → Revenue Growth, MRR/ARR Growth - Retention → Churn Rate, NRR, Quick Ratio - Economics → LTV:CAC, Payback Period, Gross Margin - Efficiency → Rule of 40, Magic Number, Operating Leverage - Survival → Burn Rate, Runway **Board/investor reporting:** - Key metrics: ARR, Revenue Growth %, NRR, LTV:CAC, Rule of 40, Magic Number, Burn Rate, Runway - Stage-specific: Early stage emphasize growth + unit economics; Growth stage emphasize Rule of 40 + Magic Number; Scale stage emphasize profitability + efficiency --- ## Examples ### Example 1: Feature Investment Sanity Check You are deciding whether to build a premium export feature. 1. Use Framework 1 (Should We Build This Feature?) 2. Pull baseline metrics: ARPU, Gross Margin, LTV, Contribution Margin 3. Model optimistic, base, and downside adoption 4. Reject if contribution margin turns negative in downside case Quick output: - Base case ROI: 3.8x - Contribution margin impact: +4 points - Decision: Build now, with a 90-day post-launch check on churn and expansion ### Example 2: Channel Scale Decision Paid social is generating many signups but weak retention. 1. Use Framework 2 (Should We Scale This Acquisition Channel?) 2. Check CAC, LTV:CAC, Payback Period, and NRR by channel 3. Compare against best-performing channel, not company average Quick output: - LTV:CAC: 1.6:1 - Payback: 26 months - NRR: 88% - Decision: Do not scale; cap spend and run targeted optimization tests --- ## Common Pitfalls - Using blended company averages instead of cohort or channel-level metrics - Scaling acquisition when Quick Ratio is weak and retention is deteriorating - Treating high LTV:CAC as sufficient without checking payback and runway impact - Raising prices based on ARPU lift alone without modeling churn and contraction - Comparing benchmarks across mismatched company stages or business models - Tracking many metrics without a clear decision question --- ## References ### Related Skills (Deep Dives) - `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 ROI - `acquisition-channel-advisor` — Uses these metrics to evaluate channel viability - `finance-based-pricing-advisor` — Uses these metrics to evaluate pricing changes - `business-health-diagnostic` — Uses these metrics to diagnose business health ### External Resources - **Bessemer Venture Partners:** "SaaS Metrics 2.0" — Comprehensive SaaS benchmarking - **David Skok (Matrix Partners):** "SaaS Metrics" blog series — Deep dive on unit economics - **Tomasz Tunguz (Redpoint):** SaaS benchmarking research and blog - **ChartMogul, Baremetrics, ProfitWell:** SaaS analytics platforms with metric definitions - **SaaStr:** Annual SaaS benchmarking surveys ### Provenance - Adapted from `research/finance/Finance_QuickRef.md` - Formulas from `research/finance/Finance for Product Managers.md` - Decision frameworks from `research/finance/Finance_For_PMs.Putting_It_Together_Synthesis.md`

Finance Metrics Quickref

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Finance Metrics Quickref

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