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:

• Revenue & Growth — Top-line money (revenue, ARPU, ARPA, MRR/ARR, churn, NRR, expansion)

• Unit Economics — Customer-level profitability (CAC, LTV, payback, margins)

• Capital Efficiency — Cash management (burn rate, runway, OpEx, net income)

• 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&#x26;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&#x26;M + R&#x26;D + G&#x26;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&#x26;M

S&#x26;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:

• Revenue impact? Direct (pricing, add-on) or indirect (retention, conversion)?

• Margin impact? What's the COGS? Does it dilute margins?

• 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:

• Unit economics? CAC, LTV, LTV:CAC ratio

• Cash efficiency? Payback period

• Customer quality? Cohort retention, NRR by channel

• 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:

• ARPU/ARPA impact? Will revenue per customer increase?

• Conversion impact? Help or hurt trial-to-paid conversion?

• Churn impact? Create churn risk or reduce it?

• 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 &#x26; 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&#x26;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.

• Use Framework 1 (Should We Build This Feature?)

• Pull baseline metrics: ARPU, Gross Margin, LTV, Contribution Margin

• Model optimistic, base, and downside adoption

• 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.

• Use Framework 2 (Should We Scale This Acquisition Channel?)

• Check CAC, LTV:CAC, Payback Period, and NRR by channel

• 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