Finance Metrics Quickref

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)

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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 120% excellent; 100-120% good; 90-100% ok | NRR 4 excellent; 2-4 healthy; 5:1 underinvesting | LTV:CAC 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 healthy; 25-40 ok; 0.75 efficient; 0.5-0.75 ok; OpEx growth | OpEx growing faster than revenue | | Gross vs. Net Revenue | Net = Gross - Discounts - Refunds - Credits | What you actually keep | Refunds 10% (product problem) | | Revenue Concentration | Top N Customers / Total Revenue | Dependency on largest customers | 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 |

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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

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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 0.75

Don't scale if:

• LTV:CAC 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

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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 logo churn | Losing big customers | Investigate why high-value customers leave | | Quick Ratio 50% in top 10 customers | Existential dependency risk | Diversify customer base |

Unit Economics Red Flags

| Red Flag | What It Means | Action | |--------------|-------------------|------------| | LTV:CAC 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 |

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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

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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

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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

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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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: getcrew44
• Source: getcrew44/crew44
• License: MIT
• Homepage: https://crew44.io

Install and usage instructions live in the source repository linked above.