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The Ultimate SaaS Metrics Cheat Sheet: 38 Metrics with Formulas, Benchmarks & Tips

Woosung Chun
CFO, DualEntry
Last updated
April 9, 2026
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Summarize this article

Most SaaS founders track the wrong metrics at the wrong time. A Series A company obsessing over NPS while ignoring Net Revenue Retention is like checking tire pressure while the engine’s on fire.

And look, the problem isn’t a lack of things to measure. Whether you’re running a B2B SaaS startup or scaling past mid-market, the hard part is knowing which SaaS KPIs actually matter at your stage and what “good” looks like. A seed-stage company doesn’t need 38 metrics to track. It needs five, tracked honestly.1

We put this together after years of watching teams get buried in dashboards. 38 SaaS metrics across seven categories, each with a formula, benchmarks by stage (from Bessemer, OpenView, and public SaaS data), and a note on where we see things go sideways.

Want the quick-reference version? Download our free SaaS Metrics Cheat Sheet PDF with all 38 metrics in a printable 12-page document.

TL;DR

  • What it covers: 38 SaaS metrics with formulas, stage-specific benchmarks, and practical tips.
  • Who it's for: SaaS founders, operators, CFOs, and investors.
  • What makes it different: Most cheat sheets stop at formulas. This one tells you which metrics matter most at your stage and the mistakes that trip up even experienced teams.
  • Key takeaway: Tracking 38 metrics won't help a seed-stage startup. Knowing which five to eight matter right now will.

Which SaaS Metrics Matter at Each Stage

Here’s the question nobody else answers: which of these SaaS performance metrics should you actually care about right now? It depends entirely on your ARR and what you’re trying to prove. SaaS startup metrics look nothing like growth-stage metrics.2

Stage Key Metrics What Good Looks Like
Pre-Seed / MVP MRR, MoM Growth, Churn, Activation, Burn Rate >15% MoM growth, <8% churn, 6+ mo runway
Seed to Series A Add: CAC, LTV, LTV:CAC, NRR, Trial Conv., ARPA LTV:CAC >3:1, NRR >100%, payback <18 mo
Series A to B Add: Quick Ratio, Magic Number, GRR, Expansion, Sales Velocity Rule of 40 >40%, GRR >85%, burn multiple <2x
Growth ($10M+) Full suite, with emphasis on cohorts and efficiency NRR >120%, GM >75%, rev/employee >$200K

Start here. If you’re early-stage, don’t let the length of this post distract you from the handful of numbers that move the needle.

SaaS Revenue Metrics

Investors look here first. It’s also where sloppy measurement does the most damage. We’ve watched Series A processes fall apart because someone lumped a setup fee into MRR.3

Monthly Recurring Revenue (MRR)

Predictable revenue from active subscriptions, normalized monthly. This is your baseline number.

MRR = Sum of all active subscription values (monthly)

Benchmarks

Seed: $10K-$50K Series A: $100K-$500K Series B: $500K-$2M Growth: 2M+

Don’t pad this with setup fees or services revenue. Investors will find it during diligence. Awkward conversation.

Annual Recurring Revenue (ARR)

MRR times 12. Past ~$1M in revenue, this becomes the standard unit. Common mistake: ARR is a forward-looking annualization, not a trailing 12-month sum.

ARR = MRR × 12

What good looks like

Seed: $500K-$2M Series A: $1M-$5M Series B: $5M-$20M Growth: $20M

Committed MRR (CMRR)

Think of this as MRR adjusted for reality: signed-but-not-live contracts, pending downgrades, confirmed cancellations.

CMRR = Current MRR + signed deals - known churn - known downgrades

Benchmarks

Should exceed MRR by: 5-15% Consistently below MRR? Your pipeline has a problem.

Revenue Growth Rate

MoM percentage increase in MRR early on. Switch to YoY once you pass $1M ARR.

Revenue Growth Rate = (Current MRR - Prior MRR) / Prior MRR × 100

Typical ranges

Seed: >15% MoM Series A: >3x YoY Series B: >2x YoY Growth: 30-50% YoY4

Net New MRR

Everything in one number: new customers, expansions, contractions, churn, reactivations.

Net New MRR = New MRR + Expansion + Reactivation - Contraction - Churned MRR

Benchmarks

Positive and growing MoM. Three declining months in a row? Something structural needs attention.

Flat Net New MRR can hide rising churn offset by aggressive new sales. Always decompose.

MRR Movement Metrics

Net New MRR is the headline. These four components tell you why it moved.

Expansion MRR

Extra revenue from existing customers: upsells, cross-sells, usage increases.

Expansion MRR = Sum of MRR + Sum of Upsells + Sum of Cross-Sells

Benchmarks

Should be 20-40% of new MRR at Series B+. Best public SaaS companies? They earn more from expansion than new logos.5

Contraction MRR

Revenue lost from downgrades (not full cancellations).

Contraction MRR = Sum of plan downgrades + Sum of seat reductions + Sum of discount increases

What good looks like:

Keep below 1-2% of MRR monthly. Rising contraction often signals churn is coming next.

Churned MRR

Gone for good. Revenue from full cancellations.

Churned MRR = Sum of full cancellations + Sum of expired contracts + Sum of non-renewals

Benchmarks

Seed: <8% monthly Series A: <5% Series B+: <3% Best-in-class: <1%

Reactivation MRR

Previously churned customers who came back.

Reactivation MRR = Sum of resubscriptions + Sum of win-back conversions + Sum of paused-account resumptions

Typical ranges

Typical: 5-10% of churned MRR. If reactivation is high (above 20%), that’s a product gap you can probably fix.

SaaS Unit Economics

This is where you find out if the model actually works. Quick math: $50K S&M spend in Q1, 25 new customers = $2,000 CAC. At $500/month ARPA with 24-month retention, LTV is $12,000. That’s 6:1 with 4-month payback. Strong.

Customer Acquisition Cost (CAC)

Fully loaded cost per new customer. Sales salaries, marketing, tooling, content, all of it.

CAC = Total sales & marketing expenses / Number of new customers acquired

Benchmarks

PLG: $200-$1K Mid-market: $5K-$20K Enterprise: $20K-$100K+

The mistake we see constantly? Leaving sales salaries and tooling out of the denominator. Flatters the number, falls apart in diligence.6

Customer Lifetime Value (LTV)

Total gross profit from a customer before they churn. Two formulas here, and which one you use matters.

LTV = ARPA / Customer churn rate (or ARPA x Gross margin % / Revenue churn rate)

What good looks like:

SMB: $1K-$10K Mid-market: $20K-$100K Enterprise: $100K-$500K+

Below 70% margins? Use the GM-adjusted formula. The simple version will flatter you.7

LTV:CAC Ratio

Probably the most-cited metric in SaaS unit economics.

LTV:CAC = Customer Lifetime Value / Customer Acquisition Cost

Benchmarks:

Below 3:1: needs work 3-5:1: healthy Above 5:1: possibly under-investing in growth

Above 5:1 sounds amazing. But it might just mean you’re leaving growth on the table.

CAC Payback Period

Months until a customer’s gross profit covers acquisition cost. When cash is tight (and when isn’t it?), this matters more than LTV.

CAC Payback = CAC / (ARPA x Gross margin %)

Typical ranges

Seed: <24 mo Series A: <18 mo Series B+: <12 mo8

Shorter payback = faster reinvestment without raising. Enterprise deals with 18-month payback need a real balance sheet.

ARPA / ARPU

Average monthly subscription revenue per account. Simple but useful.

ARPA = MRR / Total active paying customers

Benchmarks:

PLG: $50-$500/mo Mid-market: $500-$5K/mo Enterprise: $5K-$50K+/mo

Annual Contract Value (ACV)

Annualized value of one customer contract. Excludes one-time fees.

ACV = Total contract value / Contract term in years

What good looks like:

SMB: $5K-$25K Mid-market: $25K-$100K Enterprise: $100K-$500K+

Grab the PDF with all 38 metrics, benchmarks, and formulas in one printable document.

SaaS Growth & Efficiency Metrics

Growing 100% YoY while burning $3 for every $1 of new ARR? That’s not scaling. That’s buying revenue.

SaaS Quick Ratio

Revenue in (new + expansion) versus revenue out (contraction + churn).

Quick Ratio = (New MRR + Expansion) / (Churned + Contraction)

Benchmarks:

Below 1: shrinking 1-2: struggling 2-4: healthy Above 4: strong9

Rule of 40

Growth rate plus profit margin. The number boards love.

Rule of 40 = Revenue growth rate (%) + EBITDA margin (%)

Typical ranges:

Below 20%: underperforming 20-40%: acceptable Above 40%: strong10

Two paths to 40: 60% growth / -20% margin vs. 25% growth / +15% margin. Same score. Wildly different risk.

SaaS Magic Number

How efficiently S&M spend converts into new ARR.

Magic Number = QoQ net new ARR / Prior quarter S&M spend

Benchmarks:

Below 0.5: inefficient 0.5-0.75: improving Above 0.75: efficient

Burn Multiple

Cash burned for each dollar of net new ARR. Popularized by David Sacks.

Burn Multiple = Net cash burned / Net new ARR

Benchmarks:

Below 1x: exceptional 1-2x: good 2-3x: acceptable if early Above 3x: time for a hard conversation11

Gross Margin

Revenue minus COGS divided by revenue. In SaaS, COGS means hosting, support, onboarding.

Gross Margin = (Revenue - COGS) / Revenue x 100

What good looks like:

Below 60%: not typical SaaS 60-70%: services-heavy 70-80%: normal Above 80%: strong12

The most frequent reporting error we see in SaaS? Not including support and onboarding in COGS.

Revenue Per Employee

Blunt instrument, but reveals a lot about operational efficiency.

Rev/Employee = ARR / Total full-time employees

Benchmarks:

Early stage: $100K-$175K Growth ($10-50M): $150K-$225K Scale ($50M+): $200K-$300K13

Cash Runway

How many months before the money runs out at current burn.

Runway = Cash balance / Monthly net burn rate

What good looks like:

Minimum: 12 mo Comfortable: 18-24 mo Start fundraising at: 9-12 mo remaining

SaaS Sales Metrics

Your go-to-market engine, measured. If unit economics look fine but revenue growth is flat, dig here.

Sales Velocity

How fast your team generates revenue: deals × size × win rate ÷ cycle length.

Sales Velocity = (Opps x Win rate x Avg deal size) / Avg cycle length

Benchmarks:

Track the trend, not the absolute number. Shortening cycle length often beats chasing bigger deals.

Average Sales Cycle Length

Days from first qualified contact to closed-won.

Avg Cycle = Sum of days to close all deals / Number of deals closed

What good looks like:

SMB: 14-60 days Mid-market: 30-90 Enterprise: 90-180+

Win Rate

What percentage of qualified opps actually close.

Win Rate = Closed-won / Total closed (won + lost) x 100

Benchmarks:

PLG: 15-25% Mid-market: 20-30% Enterprise: 25-40%

Above 40%? You might not be pursuing enough opportunities. Below 15%? Lead qualification needs work.

Pipeline Coverage Ratio

Pipeline value relative to target.

Coverage = Total pipeline value / Revenue target

Typical ranges:

Below 2x: likely to miss 3-4x: healthy Above 5x: watch for pipeline bloat

Lead-to-Customer Conversion

Full-funnel conversion from raw lead to paying customer.

Lead to Customer Conversion = New customers / Total new leads x 100

Benchmarks:

Inbound: 2-5% Outbound: 0.5-2% Product-qualified: 15-30%

SaaS Retention & Churn Metrics

A SaaS company can survive slow growth. It cannot survive high churn. Full stop. Everything else in this post is downstream of retention.14

Customer Churn Rate (Logo Churn)

Percentage of customers who cancel, regardless of what they were paying.

Customer Churn = Customers lost / Customers at start of period x 100

Benchmarks:

Seed: <8% monthly Series A: <5% Series B+: <3% Best: <1%

Revenue Churn Rate

Percentage of MRR lost to cancellations and downgrades combined.

Revenue Churn = (Churned + Contraction MRR) / Beg. MRR x 100

What good looks like:

Below 2% monthly: strong Below 1%: best-in-class Above 5%: structural problem

One thing: be clear about whether you’re reporting gross or net churn. Investors will ask.

Net Revenue Retention (NRR)

THE retention metric. Revenue retained after expansion, contraction, and churn. Public companies above 130% NRR trade at significantly higher multiples.15

NRR = (Beg MRR + Expansion - Contraction - Churn) / Beg MRR x 100

Benchmarks:

Below 90%: leaky bucket 90-100%: acceptable (SMB) 100-110%: good 110-130%: great Above 130%: elite

Gross Revenue Retention (GRR)

Revenue retained without expansion. Capped at 100%. This is your true retention floor.

GRR = (Beg MRR - Contraction - Churn) / Beg MRR x 100

Typical ranges:

Below 80%: concerning Above 85%: healthy (SMB) Above 90%: strong16

We’ve seen companies with 120% NRR and 75% GRR. Expansion was masking serious churn. Smart investors check both.

Expansion Revenue Rate

How much new revenue your existing customers generate via upsells and usage growth.

Expansion Rate = Expansion MRR / Beginning MRR x 100

Benchmarks:

Below 1% monthly: low 1-3%: good 3-5%: great Above 5%: best-in-class

Cohort Retention Analysis

Retention tracked by signup cohort, not blended averages. Only way to tell if things are actually getting better.

Cohort Retention = (Customers remaining in cohort / Original cohort size) × 100 at month 1, 3, 6, 12, 24

Benchmarks:

Healthy: curves flatten or rise over time Accelerating drop-off? Check onboarding.

SaaS Engagement & Product Metrics

Leading indicators. By the time a customer actually cancels, the engagement warning signs were showing up in your SaaS metrics dashboard months earlier. These tell you who’s about to leave.

Free Trial Conversion Rate

What percentage of trial users convert. Swings dramatically based on whether you gate with a credit card.

Trial Conversion = Paid conversions / Total trial starts x 100

Benchmarks:

Opt-in (no CC): 8-20% Opt-out (CC required) 25-60% Freemium to paid 2-5%17

Time to Value (TTV)

How fast new users hit their first meaningful outcome. Best PLG companies get this under five minutes.

TTV = Time from signup to first activation event

What good looks like:

Shorter is always better: If TTV is measured in days, you have an onboarding problem.

Activation Rate

Signups who complete the actions that predict long-term retention.

Activation Rate = Users who hit activation milestone / Total signups x 100

Benchmarks:

PLG: 20-40% Enterprise: 60-80%

DAU/MAU Ratio (Stickiness)

Are users coming back daily or just logging in once a month? This ratio tells you.

Stickiness = Daily Active Users / Monthly Active Users x 100

Typical ranges:

Below 13%: low engagement 13-25%: average 25-50%: strong Above 50%: exceptional

Net Promoter Score (NPS)

Promoters minus detractors. Decent sentiment check. Not a standalone KPI.

NPS = % Promoters (9-10) - % Detractors (0-6)

Benchmarks:

Below 0: low poor 0-30: average 30-50: good Above 50%: excellent18

What Investors Look For by Funding Round

Not all metrics carry equal weight in a fundraise. Different stages, different priorities. Knowing what’s coming lets you close the gaps before your first partner meeting.

Round Focus Areas Minimum Bar
Seed Growth rate, retention, activation, burn >15% MoM, churn <8%, 12+ mo runway
Series A LTV:CAC, payback, NRR, growth LTV:CAC >3:1, payback <18 mo, NRR >100%, >3x YoY
Series B+ Rule of 40, NRR, GRR, burn multiple, GM R40 >40%, NRR >110%, GRR >85%, burn <2x, GM >70%

How SaaS Metrics Connect to Each Other

None of these 38 metrics exist in isolation. They form dependency chains. Understanding those chains is what separates operators who stare at dashboards from the ones who actually fix things.

Here’s the core chain: Churn rate drives LTV. Combine LTV with CAC and you get the LTV:CAC ratio. Divide CAC by ARPA and margin to find payback. Expansion offsetting churn gives you NRR. NRR feeds the Quick Ratio. Quick Ratio plus Rule of 40 gives the executive health summary.

Pull one thread, feel it everywhere. Drop churn by a single percentage point and LTV, NRR, Quick Ratio, and Rule of 40 all improve. Increase CAC without better conversion? LTV:CAC and payback both deteriorate. Once you see these connections, picking what to focus on gets obvious.

Download the Free SaaS Metrics Cheat Sheet PDF

All 38 metrics in a designed, printable 12-page PDF. Formulas, benchmarks, tips. Pin it to your desk, share it with finance, throw it in with your pitch deck.

Get the complete SaaS Metrics Cheat Sheet PDF with all 38 metrics with formulas, benchmarks, and pro tips.

Conclusion

Thirty-eight metrics is a lot. The point was never to track all of them. It’s to know where to look when something feels off. Start with the stage framework, pick the 5-8 key SaaS metrics that match where you are right now, trace root causes through the dependency chains instead of chasing symptoms.

If you want a platform that tracks these SaaS financial metrics natively, with a real-time SaaS metrics dashboard, MRR decomposition, cohort retention, and automated reporting, that’s what we built DualEntry for. Schedule a demo to see it in action.

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