Reference

SaaS Metrics Reference

The 12 metrics that define SaaS health — formulas, industry benchmarks, and what each one actually tells you about the product and business. Written for founders and PMs who want precision, not a dashboard tutorial.

Revenue

MRR

Monthly Recurring Revenue

Formula

MRR = Sum of all active monthly subscription revenue

Key components

New MRR: Revenue from new customers acquired this month.
Expansion MRR: Additional revenue from existing customers (upgrades, seat adds, upsells).
Churned MRR: Revenue lost from cancellations or downgrades.
Net New MRR: New MRR + Expansion MRR minus Churned MRR.

Benchmark

No universal benchmark — track MoM growth rate. Pre-PMF: 10-20% MoM is strong. Post-PMF: 5-10% MoM sustained is healthy.

What it tells you

The health of your revenue engine in real time. Tracking New, Expansion, and Churned MRR separately tells you whether growth is coming from acquisition or expansion, and where leakage is occurring.

Read: Net Revenue Retention explained
Revenue

ARR

Annual Recurring Revenue

Formula

ARR = MRR × 12

Key components

When to use ARR vs MRR: Use MRR for operational tracking. Use ARR for fundraising conversations and annual planning. Do not mix the two in the same analysis.
Multi-year contracts: For contracts longer than 12 months, only include the annualized value — not the total contract value — in ARR.

Benchmark

$1M ARR is the traditional 'ramen profitability' milestone for SaaS. $10M ARR is when most investors consider a Series B conversation. $100M ARR is the threshold for late-stage growth metrics.

What it tells you

A normalized view of the revenue run rate useful for year-over-year comparisons, investor reporting, and headcount planning.

Retention

NRR

Net Revenue Retention

Formula

NRR = (Starting MRR + Expansion MRR - Churned MRR - Contraction MRR) / Starting MRR × 100

Key components

NRR above 100%: Your existing customer base is growing without adding new customers. The product is delivering increasing value over time.
NRR below 100%: You are losing revenue from your existing base faster than you are expanding it. This means new customer acquisition is running to fill a leaky bucket.

Benchmark

Best-in-class B2B SaaS: 120%+. Healthy: 100-120%. Warning zone: 90-100%. High risk: below 90%.

What it tells you

The single most diagnostic metric for product-market fit and long-term unit economics. VCs treat NRR as the most important metric in Series B and later diligence.

Read: What NRR tells you that churn cannot
Retention

Churn Rate

Customer and Revenue Churn

Formula

Customer Churn = Customers lost in period / Customers at start of period × 100
Revenue Churn = MRR lost in period / MRR at start of period × 100

Key components

Customer churn vs revenue churn: They diverge when large and small accounts churn at different rates. Revenue churn is the more important number because it reflects actual business impact.
Gross vs net churn: Gross churn counts only losses. Net churn subtracts expansion revenue. A company can have 15% gross churn and 0% net churn if expansion covers losses.

Benchmark

B2B SaaS monthly churn: below 1% is excellent, 1-2% is acceptable, above 2% is a retention problem that needs immediate diagnosis.

What it tells you

Where value delivery is breaking down. High churn in months 1-3 is an onboarding or ICP problem. High churn in months 6-12 is a product depth or competitive problem.

Growth

CAC

Customer Acquisition Cost

Formula

CAC = Total sales and marketing spend / Number of new customers acquired

Key components

Blended vs channel CAC: Blended CAC averages across all channels. Channel CAC shows cost per channel. The difference reveals which channels are efficient and which are diluting the average.
What to include: Sales salaries, marketing spend, tools, events, and any other cost directly tied to acquiring customers. Do not include product or support costs.

Benchmark

The number alone is meaningless. Evaluate CAC relative to LTV. A healthy LTV:CAC ratio is 3:1 or higher. CAC payback period below 12 months is strong for SaaS.

What it tells you

The efficiency of your growth motion. Rising CAC with flat LTV means growth is getting more expensive without getting more valuable. The ideal trend is CAC declining as channels mature and brand compounds.

Growth

LTV

Lifetime Value

Formula

LTV = ARPU / Churn Rate
(or: LTV = Average contract value × Average customer lifespan)

Key components

LTV:CAC ratio: The core unit economics ratio. At 3:1, the business is healthy. Below 1:1, you are losing money on every customer. Above 5:1 often means you are under-investing in growth.
CAC payback period: LTV divided by monthly profit per customer = months to recover acquisition cost. Below 12 months is excellent for B2B SaaS.

Benchmark

LTV:CAC of 3:1 or higher is the standard benchmark. Top-quartile SaaS companies reach 5:1 or more as distribution efficiency improves.

What it tells you

Whether the business can sustainably grow. High LTV relative to CAC means you can spend more on acquisition. Low LTV relative to CAC means you need to fix retention before scaling acquisition.

Product

Activation Rate

Activation Rate

Formula

Activation Rate = Users who completed the activation event / Total new users × 100

Key components

Defining the activation event: The specific action that predicts long-term retention. Not sign-up or login — the first moment of genuine value. Requires analysis of retained vs churned cohorts to identify.
Time to activation: How long it takes users to reach the activation event. The shorter, the better. Most products aim for activation within the first session or first day.

Benchmark

Varies heavily by product type. Track your own activation-to-retention correlation first. A useful internal benchmark: activation rate for retained users vs churned users should diverge by 2x or more.

What it tells you

Whether new users are finding value before they leave. The highest-leverage early-stage metric because improving activation compounds across every new user cohort.

Product

Day-N Retention

Cohort Retention

Formula

Day-N Retention = Users still active on Day N / Users who signed up on Day 0 × 100

Key components

Key measurement points: Day-1, Day-7, Day-30. Each inflection point diagnoses a different problem: Day-1 is onboarding, Day-7 is habit formation, Day-30 is product-market fit.
Cohort vs aggregate: Always measure retention by cohort (users who signed up in the same period), not as an average across all users. Cohort analysis shows whether retention is improving over time.

Benchmark

B2B SaaS Day-30 retention: below 30% is concerning, 40-50% is solid, above 60% is top-quartile. Consumer products have lower benchmarks.

What it tells you

Whether users find lasting value in the product. The only metric that cannot be improved by acquisition spend alone — you have to make the product better.

Read: How to know if you have product-market fit
Revenue

ARPU

Average Revenue Per User

Formula

ARPU = Total MRR / Total active customers

Key components

ARPU by segment: ARPU across all customers is less useful than ARPU by customer segment or ICP tier. Mixing enterprise and SMB customers in one ARPU number obscures both.
ARPU trends: Rising ARPU over time means expansion revenue is working. Falling ARPU means you are acquiring cheaper customers faster than you are expanding existing ones.

Benchmark

Varies completely by market. SMB SaaS: $50-500/month ARPU is typical. Mid-market: $500-5,000. Enterprise: $5,000+.

What it tells you

The average monetization per customer. Useful for revenue projections and for understanding whether pricing and packaging is creating expansion behavior.

Product

NPS

Net Promoter Score

Formula

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

Key components

Promoters: Score 9-10. Actively recommend the product unprompted.
Passives: Score 7-8. Satisfied but not enthusiastic. Not counted in NPS calculation.
Detractors: Score 0-6. Unhappy customers who may actively discourage others.

Benchmark

Above 50 is excellent. Above 70 is world-class. Below 20 indicates significant product or experience problems.

What it tells you

A directional signal for overall customer sentiment. Useful as a leading indicator of churn and expansion. Limited by the fact that it does not explain what would change the score — always follow up NPS surveys with a qualitative reason.

Growth

CAC Payback Period

CAC Payback Period

Formula

CAC Payback Period = CAC / (ARPU × Gross Margin %)

Key components

What it measures: How many months it takes to recover the cost of acquiring a customer from that customer's gross profit contribution.
Why gross margin matters: Using revenue alone overstates payback speed. Including gross margin gives a more accurate picture of when the customer becomes profitable.

Benchmark

Below 12 months is excellent for B2B SaaS. 12-18 months is acceptable. Above 24 months requires either very high LTV or significant changes to acquisition efficiency.

What it tells you

How efficiently you convert acquisition spend into recovered investment. A long payback period with high churn is a terminal unit economics problem. A long payback period with low churn is a cash flow timing problem — different solutions required.

Growth

Magic Number

Sales Efficiency (Magic Number)

Formula

Magic Number = (Current Quarter ARR - Previous Quarter ARR) / Previous Quarter Sales and Marketing Spend

Key components

Interpretation: A Magic Number above 1.0 means you generated more than one dollar of ARR for every dollar spent on sales and marketing. Below 0.5 suggests the growth engine is inefficient.
When to use it: Most meaningful once you have a repeatable go-to-market motion — typically post-PMF with at least 12 months of consistent data.

Benchmark

Above 1.0 is excellent. 0.75-1.0 is solid. 0.5-0.75 means you should examine CAC by channel before scaling spend. Below 0.5 is a signal to fix the GTM before investing more.

What it tells you

Whether your sales and marketing investment is generating efficient ARR growth. The most direct measure of whether it is safe to add more fuel to the growth engine.

Read: Distribution before features

Have a take on how these metrics work in practice?

Benchmarks are starting points. How metrics behave in specific markets, stages, and business models is where the real insight is. Expert Perspectives is where practitioners publish that kind of first-hand analysis.