There are hundreds of SaaS metrics you could track. There are about fifteen you actually need. This is the working list — with the formula, why it matters, an illustrative healthy range, and the trap hidden inside each one.

All benchmark figures below are illustrative rules of thumb for early-to-growth-stage SaaS, not universal laws. Your market, price point, and motion shift them.

Revenue metrics

1. MRR — Monthly Recurring Revenue

The normalized monthly value of all active subscriptions. Annual plans count at 1/12 of their value.

Trap: including one-time fees, services, or unpaid trials. MRR is recurring, committed revenue only.

2. ARR — Annual Recurring Revenue

MRR × 12. Used for topline storytelling and fundraising milestones.

Trap: treating ARR as cash. A customer on a monthly plan contributing to ARR can leave next month.

3. MRR growth rate

(MRR this month − MRR last month) / MRR last month. Early-stage investors often look for 10–20% monthly at seed, settling toward 5–8% as the base grows.

Trap: quoting a single great month. Show the 3-month average.

4. Net new MRR breakdown

Net new MRR = new + expansion − contraction − churned MRR. This split tells you how you're growing.

Trap: celebrating net growth while churned MRR quietly doubles underneath.

Retention metrics

5. Customer churn rate

Customers lost in the period / customers at the start. For SMB SaaS, 3–5% monthly is common early on; under 2% is strong.

Trap: mixing free and paid users, or annual and monthly plans, in one number.

6. Revenue churn rate (gross)

MRR lost from cancellations and downgrades / starting MRR. Can differ wildly from customer churn if your accounts vary in size.

7. NRR — Net Revenue Retention

(Starting MRR + expansion − contraction − churn) / starting MRR, for a fixed cohort of customers. Above 100% means your existing base grows even with zero new sales. Illustratively: 90–100% is typical SMB, 110%+ is excellent and usually requires expansion revenue.

Trap: NRR hides new-customer quality entirely. Pair it with new-cohort activation.

8. Logo retention by cohort

Percentage of a signup cohort still active after 1, 3, 6, 12 months. The flattening point of this curve is the single most important shape in your business.

Unit economics

9. ARPA — Average Revenue Per Account

MRR / active accounts. Watch its trend: rising ARPA with flat logo growth means you're moving upmarket.

10. CAC — Customer Acquisition Cost

Total sales + marketing spend in a period / new customers acquired. Include salaries and tools, not just ad spend, for the honest ("fully loaded") version.

Trap: blending channels. A $200 blended CAC can hide a $50 organic CAC and an $800 paid CAC.

11. LTV — Customer Lifetime Value

The simple version: ARPA × gross margin % / monthly revenue churn rate. If ARPA is $80, margin 85%, and revenue churn 3% monthly, LTV ≈ $2,267 (illustrative).

Trap: with very low churn the formula explodes to absurd values. Cap lifetime at 3–5 years for planning.

12. LTV:CAC ratio

The classic health check. Rule of thumb: 3:1 or better is sustainable; below 1.5:1 you're buying revenue at a loss; above 5:1 you may be under-investing in growth.

13. CAC payback period

CAC / (ARPA × gross margin). Months until a customer repays their acquisition cost. Under 12 months is comfortable for self-funded startups; venture-backed teams sometimes tolerate 18–24.

Trap: payback assumes the customer survives that long. Cross-check against your retention curve.

Funnel and engagement metrics

14. Activation rate

The share of new signups who reach your product's first-value moment (define it explicitly: e.g. "created a project and invited a teammate within 7 days"). This is the highest-leverage conversion in most SaaS funnels.

15. Trial-to-paid conversion

Paying customers / trials started. Illustrative ranges: 8–15% for freemium-to-paid upgrades, 15–30% for opt-in free trials, 40%+ for sales-assisted trials.

How they fit together

Question	Metrics to look at
Are we growing?	MRR growth, net new MRR breakdown
Will growth stick?	NRR, cohort retention, activation rate
Can we afford growth?	CAC, LTV:CAC, payback period
Where's the leak?	Funnel: visitor→signup→activation→paid
Are we drifting upmarket/down?	ARPA trend, churn by plan

Which metrics matter at which stage

Not all fifteen deserve equal attention at every stage:

Pre-product-market fit: activation rate and cohort retention are almost the whole game. If retention curves don't flatten, MRR growth is a vanity number and CAC math is premature. Watch trial-to-paid as the signal that value survives contact with a credit card.
Early growth (roughly $10k–$100k MRR, illustratively): add the full revenue suite — MRR growth with its net-new breakdown, churn in both flavors, ARPA. Start computing CAC and payback per channel as spend becomes deliberate.
Scaling: NRR and LTV:CAC move to the front. At this stage, expansion mechanics and unit economics determine whether growth compounds or just burns cash faster.

The failure mode is running the stages out of order: optimizing CAC before retention flattens means efficiently buying users who leave.

A weekly vs. monthly cadence

Review weekly what moves weekly: signups, activation, trial conversion, net new MRR. Review monthly what needs a month to mean anything: churn, NRR, cohort retention, CAC payback. Quarterly, step back for the LTV:CAC picture and the ARPA trend. Reviewing monthly metrics weekly produces noise-chasing; reviewing weekly metrics monthly produces slow reactions — both are common and both are fixable with a calendar entry.

Three meta-rules

Cohorts over blends. Almost every metric above is more honest computed per signup cohort than blended across your whole history.
Pairs over singles. Growth without retention is a leaky bucket; retention without growth is a lifestyle business surprise. Always read metrics in pairs.
Trends over snapshots. A 4% churn month means little; churn going 3% → 3.5% → 4.2% over a quarter is a fire alarm.

A word on benchmarks

Benchmarks are calibration, not verdicts. Every published range blends companies with different price points, motions, and markets: a $9/month prosumer tool and a $2,000/month vertical platform "should" have wildly different churn, conversion, and payback numbers. Use benchmarks to catch order-of-magnitude problems — monthly churn at 12% is a fire regardless of segment — and then switch to the only comparison that reliably matters: your own trailing three months. A company improving from 6% to 4% churn is healthier than one static at 3.5%, whatever the percentile tables say. And when quoting benchmarks to investors, cite the segment they come from; a benchmark without context is a debate you'll lose to anyone who's read a different blog post.

Getting started this week

Pick the eight you can compute today (usually MRR, growth rate, net new breakdown, churn, ARPA, activation, trial conversion, and one retention cohort). Add unit economics once you have six months of spend and revenue data — before that, CAC and LTV are mostly fiction.

Growth Pilot computes these directly from your Stripe and GA4 connections — MRR breakdowns, NRR, cohort retention and funnel conversion — so the debate becomes what to do about the numbers, not how they were calculated.