SaaS Metrics Glossary (2026)

Quick-reference glossary of 40+ SaaS KPIs. Each entry is a one-line formula, the 2026 benchmark anchor, and a link to the dedicated calculator or explainer on this site. Updated May 2026.

How to read this glossary

Each entry has three parts: a plain-English name, a one-line formula (the most common variant), and a benchmark anchor that places the KPI in context for 2026. The deep-link sends you to the full per-metric calculator or explainer page on this site where the variants, the worked examples, and the benchmark distribution by ARR tier all live.

Most SaaS metrics have multiple variants. CAC can be calculated fully loaded, sales-only, or by channel. LTV can include gross margin or not, can use churn rate or retention. Magic number can be calculated quarter or year. The variants are not random; they reflect different audiences (board, finance, sales ops, marketing). The per-metric pages walk through which variant fits which use case.

Benchmark anchors here are summary points. The full benchmark distributions (median, top quartile, by ARR tier, by funding stage) live on the dedicated 2026 benchmarks page, the benchmarks by ARR tier page, and the public SaaS dashboard.

Recurring revenue

MetricFormulaBenchmark anchorCalculator / explainer
ARR (Annual Recurring Revenue)MRR x 12 + signed annual contractsHeadline scale metricOpen ->
MRR (Monthly Recurring Revenue)Sum of monthly subscription contractsOperational tracking metricOpen ->
ARPU / ARPATotal recurring revenue / Active users (or accounts)ICP signal + revenue densityOpen ->
Net New ARRNew + Expansion - Churn - ContractionGrowth engine outputOpen ->
BookingsTotal contract value signed in a periodSales activity (not recurring)Open ->
Committed ARR (cARR)ARR from active + signed-but-not-started contractsForward signalOpen ->

Retention + churn

MetricFormulaBenchmark anchorCalculator / explainer
Gross Revenue Retention (GRR)(Start ARR - Churn ARR - Contraction ARR) / Start ARR2026 median 86-94% depending on tierOpen ->
Net Revenue Retention (NRR)(Start ARR - Churn + Expansion - Contraction) / Start ARR2026 median 100-115% depending on tierOpen ->
Logo Churn RateLost customers / Starting customersDifferent signal from revenue churnOpen ->
Revenue Churn RateLost recurring revenue / Starting recurring revenueOften diverges from logo churnOpen ->
Cohort RetentionActive revenue at month N / Cohort starting revenueCurve shape reveals stickinessOpen ->
Expansion RateExpansion ARR / Starting ARRComponent of NRROpen ->

Unit economics

MetricFormulaBenchmark anchorCalculator / explainer
CAC (Customer Acquisition Cost)Total S&M spend / New customers acquiredSegment by channel for true signalOpen ->
LTV (Customer Lifetime Value)ARPU x Gross Margin / Churn RateSeveral variants exist; choose oneOpen ->
LTV:CAC RatioLTV / CAC3x at all stages, 4x+ at Series B+Open ->
CAC Payback MonthsCAC / (ARPU x Gross Margin per month)Target less than 18 months at Series AOpen ->
Magic Number(QoQ ARR delta x 4) / Prior quarter S&MAbove 1.0 = each S&M $ produced more than $1 ARROpen ->
Quick Ratio (SaaS)(New + Expansion) / (Churn + Contraction)Above 4 = healthy growth engineOpen ->

Capital efficiency

MetricFormulaBenchmark anchorCalculator / explainer
Burn MultipleNet cash burn / Net new ARRTarget less than 1.5 at Series A, less than 1.2 at Series B+Open ->
Rule of 40Revenue growth rate + EBITDA marginAbove 40 = healthy; tiered targets in 2026Open ->
RunwayCash / Monthly net burnTarget 18+ months at current burnOpen ->
Gross Margin (SaaS)(Revenue - COGS) / RevenueTarget 70%+ at Series B, 75%+ at Series COpen ->
EBITDA MarginEBITDA / RevenueNegative for early stage; positive by Series COpen ->
FCF MarginFree Cash Flow / RevenuePublic SaaS median ~10% in 2026Open ->

Pipeline + growth

MetricFormulaBenchmark anchorCalculator / explainer
Pipeline CoveragePipeline value / Quota for the periodTarget 3x for next quarterOpen ->
Win RateClosed-won / All opportunities createdTrack by segment; varies 15-35%Open ->
Sales Cycle LengthAverage days from opportunity created to closed-wonLengthens with ACVOpen ->
Sales Velocity(Opportunities x Win Rate x ACV) / Cycle LengthComposite efficiency metricOpen ->
Quota AttainmentReps at 100%+ quota / Total quota-carrying repsTarget 60%+ at quotaOpen ->
ARR per RepTotal ARR / Quota-carrying reps$0.8-1.5M at $25M+ ARR scaleOpen ->

Customer health

MetricFormulaBenchmark anchorCalculator / explainer
NPS (Net Promoter Score)% Promoters - % Detractors30+ healthy for B2B SaaSOpen ->
Customer ConcentrationTop N customers as % of ARRTop 5 < 25% by Series BOpen ->
Days Sales Outstanding (DSO)(AR / Revenue) x Days in period30-45 days typical for SaaSOpen ->
Activation RateUsers reaching value milestone / New signupsPLG-specific; target 40-60% for free trialsOpen ->
Time to ValueAverage days from signup to first value eventLower is better; ICP-specificOpen ->

Cross-functional ratios

MetricFormulaBenchmark anchorCalculator / explainer
SaaS ROI (Buyer side)(Gain - Cost) / Cost over evaluation periodInverts the seller-side viewOpen ->
Implied MultipleLast round price / ARRBacks into the multiple your last round priced inOpen ->
Burn vs Plan VarianceActual burn / Planned burnTracked monthly; deviation > 10% is signalOpen ->
Headcount per $M ARRTotal headcount / ARR in millionsFalls as you scale; ~5-8 at $25M+Open ->

Definitional edge cases that matter

A handful of metrics have variants that materially change the number. Be deliberate about which variant you use, and document the choice in your methodology page.

ARR vs cARR. ARR counts only active customers. Committed ARR also counts contracts signed but not yet started. The two can differ by 5 to 15 percent at any given moment. For investor-facing reporting use ARR. For sales-team performance reporting cARR is sometimes cleaner because it credits closed deals immediately.

CAC fully loaded vs S&M only. Fully loaded CAC includes the full cost of acquiring a customer (S&M people, programs, tools, software, allocated management). S&M-only CAC includes just sales and marketing spend. Investors typically want fully loaded for diligence and S&M-only for ongoing efficiency tracking.

LTV using churn vs LTV using retention. LTV calculated as ARPU x Gross Margin / Churn assumes constant churn. LTV calculated using cohort retention curves is more accurate for SaaS with declining churn (which is most SaaS). The cohort method typically produces higher LTV values that better reflect actual customer behaviour.

Magic number per quarter vs annualised. The quarterly figure is volatile and useful as a leading indicator. The annualised version (trailing four quarters) is stable and is what investors will recompute themselves. Show both, lead with the trailing year.

NRR with vs without a specific large account. A single large expansion or churn can swing NRR by 4 to 8 points in a quarter. Show NRR with and without the top one to two movers so the underlying trend is visible. Investors will ask anyway, save the round trip.

Use the calculators and the cohort benchmarks together

The glossary is the index. The dedicated pages are where the actual math, benchmark distributions, and worked examples live. The pages below are the most useful starting points by use case.

For sister-site coverage: valuation multiples at saasvaluationmultiple.com, churn cost modelling at churncost.com.

Frequently Asked Questions

Which SaaS metrics should I learn first?
Start with the recurring revenue group (ARR, MRR, net new ARR) and the retention group (gross churn, net churn, NRR, GRR). These four to six metrics underpin every other SaaS KPI. Once they are solid, layer in unit economics (CAC, LTV, LTV:CAC, CAC payback) and capital efficiency (burn multiple, magic number, Rule of 40). The temptation is to start with the more sophisticated metrics because they sound advanced. Resist it. A clean ARR and retention layer is the foundation for trust in every downstream number.
Are there universally agreed SaaS metric definitions?
Broadly yes, with edge cases that matter. ARR, MRR, gross churn rate, net retention, gross margin, and Rule of 40 have widely consistent definitions. CAC, LTV, magic number, and payback have multiple variants depending on what you include. The single biggest practical advice is to write your own definition once in a methodology document, apply it consistently across every output, and reference it whenever a stakeholder asks what is included. Inconsistency is more damaging than non-standard definition.
How often should these benchmarks be updated?
The benchmark distributions linked from this glossary refresh whenever the underlying surveys publish. KeyBanc CMS publishes annually. OpenView publishes annually. Bessemer publishes the Emerging Cloud Index continuously. Public 10-Q data updates quarterly. We re-verify the numbers on the linked pages on a monthly cadence and stamp the verified-date in the footer. The glossary entries themselves are stable; the benchmark anchors inside them roll forward.
Why do I get different numbers for the same metric from different sources?
Three causes. One: definitional differences (one source uses GAAP, another uses non-GAAP; one includes services, another excludes). Two: sampling differences (KeyBanc samples private SaaS that self-report; Bessemer samples public SaaS only). Three: timing differences (one source is calendar year, another is fiscal year, another is trailing twelve months). When two sources disagree by more than a few points, check definitions, sampling, and timing in that order. The disagreement usually resolves into a definitional choice.
Is there a specific definition for SaaS bookings vs revenue vs ARR?
Yes. Bookings is the total contract value signed in a period (could include multi-year). Revenue is the GAAP-recognised revenue for the period (typically the portion of bookings earned per delivered service). ARR is the annualised value of the recurring component of currently active contracts. The three rarely equal each other and the relationships matter. Bookings can spike while ARR is flat (long-tail contract structure). Revenue can be flat while ARR is growing (recognition lag). Investor diligence will ask for all three.
How does this glossary differ from the per-calculator pages?
The glossary is a quick-reference index. Each entry is a one-paragraph definition with the formula and a link to the full calculator or explainer page on this site. Use the glossary when you need the definition fast. Use the per-calculator page when you need to actually compute the metric for your business with the benchmark distribution shown alongside the result.

Updated May 2026