The SaaS metrics VCs check first: revenue quality, growth, retention, gross margin, unit economics and capital efficiency, with the benchmarks investors use.
The first Flashpoint Venture Scout Academy session, "Mastering Metrics," walked through the numbers venture investors look at when they decide whether a B2B software company is worth a serious conversation. It's written for scouts, angels and founders who want to read a company the way a VC does, and send or build better deals because of it.
Because some revenue is far more likely to show up again next year. Contracted recurring revenue sits at the top, while one-off and transactional revenue sits at the bottom, even when the totals look identical.
Think of revenue on a spectrum. At the most attractive end are multi-year subscription contracts: two, three or even five years locked in.
A company with $100M of reoccurring transactional revenue is worth less than one with $100M of contracted subscription revenue. The second company's customers have an obligation to pay.
This matters more now that AI companies are experimenting with outcome-based pricing, charging per completed task or successful result. That revenue can be very real, but because it isn't contracted, it usually lands lower on the spectrum than classic SaaS subscriptions.
The same logic applies to product versus services revenue. Services depend on the specific people delivering them, which makes them harder to guarantee after an acquisition and more likely to be one-off. Product revenue is still generally preferred.
At early growth stage, 2x year-over-year is the minimum most VCs want to see, and many expect more. Growth gets this much attention because it's often the only strong signal available.
Every asset is valued on three things: cash flow, growth and risk. Classic finance plugs those into a discounted cash flow model. Startups break that model. They usually don't have cash flow yet (revenue is a proxy), and the risk is high because revenue can disappear from one year to the next. Subscription contracts reduce some of that risk, but what's left to judge is mostly growth.
The old rule of thumb was "triple, triple, double, double, double." Today some AI companies grow much faster, though some of that growth comes at the cost of gross margin. Most companies see their growth rate start dropping somewhere around $3-5M ARR, so sustaining 2x beyond that is where the strongest businesses stand out.
From a balanced mix of new customers and existing ones. Leaning too hard on either source is a warning sign.
A company where all growth comes from existing customers isn't finding new demand. A company that only adds new customers and keeps losing old ones is filling a leaky bucket, and that gets harder every year.
Three more revenue checks come up in almost every review:
One example in the session showed ARPA roughly doubling over three years. That means a full 1x of growth came from existing customers spending more. It's also a good sign when the ARPA of lost customers is lower than average: you're losing the small accounts and keeping the important ones.
Gross margin shows how much value a company actually adds on each dollar of revenue. High margins give a company room to invest, and a much better chance of becoming profitable.
It's an old-school metric that's back in focus. Many new AI companies run gross margins of 20-30% because inference costs, while falling, are still high relative to what they charge. $100M of ARR at 20% gross margin is a very different business from $100M at 80%, which is why some investors now compare companies on gross profit instead of revenue.
Logo retention counts how many customers stay with you over a year. Dollar retention measures how much revenue stays, and net dollar retention adds the expansion revenue from those same customers.
The best companies keep 80%+ of their logos each year. For SMB-focused products, 60%+ is a reasonable bar. Below that, you're losing customers faster than you can sensibly replace them.
Logo and dollar retention often tell different stories. A product with many self-serve users and a set of enterprise accounts might churn lots of small customers while the enterprise clients stay and grow. Logo retention looks weak, dollar retention looks strong, and the small churn matters little to overall revenue.
Net dollar retention of around 130% is best in class. In practice, that means existing customers deliver 30 points of growth on their own. To grow 100% in a year, you only need 70% from new sales. Below 100%, you have to win new business just to stand still.
They compare what it costs to win a customer (CAC) with the gross profit that customer brings in over its lifetime (LTV). A healthy business has an LTV of at least 3-5x CAC.
CAC is all customer acquisition spend divided by the number of new customers in the period. That includes the salaries of the sales and marketing team on top of ad and tool spend.
LTV can be estimated quickly: divide annual gross profit per customer by the logo churn rate. If you lose 20% of customers a year, the average lifetime is five years, so LTV is about five times annual gross profit. It's a useful back-of-the-envelope number, but with only a year of data it can be badly off.
The more precise method is cohort-based LTV: group customers by when they joined, track how they spend and churn over several years, and average the results. It usually lands in a similar place, but sometimes the gap is an order of magnitude.
The point of the ratio: if one customer is profitable on its own, the model can work at scale. Companies often aren't profitable yet because they're spending heavily on acquisition now while most of the LTV arrives later. When growth slows, sound unit economics give you a path to profitability.
Once the easy money of 2021 and 2022 ended, investors started weighing efficiency alongside growth. The key question is how much revenue a company builds per dollar and per person.
Scouts who can read these metrics spot the right companies faster. A quick look at growth, revenue quality, retention and capital efficiency tells you whether a company is ready for a growth-stage conversation.
It also makes your introductions stronger. When you can say a company grows 2x+, keeps its customers, runs healthy margins and hasn't burned through capital to get there, you're sending an opportunity investors can act on.
Founders benefit too. These are the questions they'll face in every serious fundraise, and knowing the benchmarks early helps them build toward them.
Most growth-stage VCs want at least 2x year-over-year revenue growth, and often more. Sustaining that pace beyond roughly $3-5M ARR is what separates the strongest companies.
Around 130% is best in class for B2B software. Anything above 100% means existing customers grow revenue on their own, while below 100% means you need new sales just to stay flat.
Investors usually want customer lifetime value to be at least 3-5 times the cost of acquiring that customer. Below 3x suggests the underlying economic model doesn't work yet.
Add the revenue growth rate to the free cash flow (or EBITDA) margin. A result of 40% or more is considered healthy, and it matters most for later-stage companies.
A common guideline is that your top 20% of clients should make up no more than about 40% of ARR. Heavier concentration means losing one or two accounts could seriously hurt the business.
Many AI products carry high inference costs, which can push gross margins down to 20-30%. That makes their revenue less valuable than the same revenue from software running at 70-80% margins.
Scouts send us companies from their network, join Scout Academy sessions like this one for free, and earn when we invest.
Apply to become a Scout
