SaaS metrics are the recurring-revenue numbers—MRR, CAC, CLV, gross margin, and net dollar retention—that reveal whether a subscription business will compound or quietly bleed out, and the one benchmark tying them together is that the median SaaS company runs a 3:1 CLV-to-CAC ratio. Track those five, calculate them the same way each month, and you can see problems months before your bank balance does.
What are the key metrics for SaaS companies to track?
Track five metrics: Monthly Recurring Revenue (MRR), Customer Acquisition Cost (CAC), Customer Lifetime Value (CLV), gross margin, and net dollar retention. These five answer the only questions that matter — how much predictable revenue you have, what it costs to buy it, what it's worth, and whether it grows on its own.
MRR is the recurring revenue you bill every month. In a SaaS Capital survey, 60% of SaaS companies named MRR their primary revenue metric because it is predictable in a way one-off sales never are. Everything downstream depends on measuring it cleanly.
Here is how the core metrics fit together:
| Metric | What it measures | Formula | Healthy benchmark |
|---|---|---|---|
| MRR | Predictable monthly revenue | Sum of all active monthly subscriptions | Growing month over month |
| CAC | Cost to acquire one customer | Sales + marketing spend ÷ new customers | Recovered in under 12 months |
| CLV | Total value one customer brings | (Avg revenue × gross margin) ÷ churn rate | ≥ 3× CAC |
| Gross margin | Revenue left after serving customers | (Revenue − cost of service) ÷ revenue | 75–85% |
| Net dollar retention | Revenue growth from existing customers | (Start MRR + expansion − churn) ÷ start MRR | > 100% |
How do I calculate customer acquisition cost (CAC) and customer lifetime value (CLV)?
CAC is total sales and marketing spend divided by the number of new customers in the same period. CLV is average revenue per customer multiplied by gross margin, then divided by your churn rate. The ratio between them is the single most-cited SaaS health check: Stripe's 2020 benchmark report found the median SaaS company runs a 3:1 CLV-to-CAC ratio.
Calculate CAC in three steps:
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- Add all sales and marketing costs for a period — ad spend, salaries, tools, commissions.
- Count the new customers won in that same period.
- Divide the first by the second.
If you spent $10,000 and won 40 customers, CAC is $250. Calculate CLV next:
- Find average monthly revenue per customer (say $50).
- Multiply by gross margin (say 80%) to get $40 of real monthly value.
- Divide by monthly churn rate (say 4%, or 0.04) to get a CLV of $1,000.
A $1,000 CLV against a $250 CAC is a 4:1 ratio — above the median. HubSpot's 2020 State of Marketing survey found 70% of SaaS companies use CAC as a key metric, but CAC alone is meaningless without CLV beside it.
What gross margin and retention should a SaaS company hit?
Aim for 75–85% gross margin and net dollar retention above 100%. Gartner's 2020 report on SaaS metrics puts the average SaaS gross margin at 75–85%, which is what makes the model attractive: once the software is built, each new customer costs little to serve.
Retention is where the real money hides. Bain & Company's research shows that increasing customer retention rates by 5% can increase profits by 25–95%. Net dollar retention above 100% means your existing customers spend more over time even after cancellations — the business grows without adding a single new logo.
McKinsey's SaaS analysis found the top 20% of SaaS companies hit net dollar retention of 120% or higher. That number, more than raw growth rate, separates elite SaaS from average.
How we track these metrics shipping software every day
We run Botensten's metrics off a single SQLite table and a nightly script — not a $900-a-month analytics suite. Two numbers sit at the top of the dashboard every morning: net new MRR and CAC split by channel. We own the code, so adding a metric is a column, not a vendor ticket.
The trade-off we learned the hard way: blended CAC lies. When we averaged all channels into one CAC, it looked fine at roughly 2:1 against CLV. Splitting it by channel showed one source running 4:1 and another at 1.2:1 — we were quietly setting money on fire on the second one. We cut that channel in a week and CAC dropped by a third.
We also stopped reporting MRR without separating new, expansion, and churned MRR. A flat MRR line can hide 20% churn masked by 20% new sales. Three sub-numbers, one query, and the truth stops hiding. For context, the 2016 Pacific Crest SaaS Survey put median SaaS revenue growth at 25% a year — if your net MRR is not compounding near that, the channel breakdown usually shows why.
Which SaaS metrics matter most to investors?
Investors care most about net dollar retention, the CLV-to-CAC ratio, and gross margin. These three predict whether capital compounds or leaks, and a high net dollar retention rate tells an investor the product sells itself over time.
Investors also weigh:
- CAC payback period — months to recover acquisition cost; under 12 is strong.
- Rule of 40 — growth rate plus profit margin should exceed 40%.
- Sales efficiency — OpenView found the average SaaS company spends 28% of revenue on sales and marketing, so investors check what that spend actually returns.
A 3:1 CLV-to-CAC ratio with 120% net dollar retention earns a term sheet faster than raw growth with leaky retention.
What are the best practices for tracking SaaS metrics?
Define each metric once, calculate it the same way every month, and never mix definitions. The fastest way to lie to yourself is to change how you count CAC between two board decks. Consistency beats precision.
Follow these practices:
- Pick one source of truth. One database, one query per metric. No spreadsheet forks.
- Segment CAC by channel. Blended CAC hides your worst-performing spend.
- Split MRR into new, expansion, and churned. A flat total can mask heavy churn.
- Review weekly, decide monthly. Watch trends often; make budget calls on the monthly close.
- Tie every metric to one action. If a number cannot change a decision, stop tracking it.
Do these five things and your metrics stop being a report you file and start being a system that tells you where the next dollar should go.

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