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Startups: The Ecosystem and How They're Funded · Part 17 of 19

Growth Metrics Investors Look At

A shared vocabulary for talking about whether growth is healthy.

Once a company has revenue, conversations with investors start relying on a specific set of metrics, most of them borrowed from SaaS businesses because that model produces the clearest, most measurable growth signals. Knowing what each one means, and how they connect, matters whether or not the company being discussed is SaaS.

Revenue metrics

Acquisition and lifetime value

CAC = total sales & marketing spend ÷ new customers acquired
LTV = average revenue per account × gross margin × average customer lifetime

A worked example: a company spends $50,000 on sales and marketing in a month and closes 25 new customers.

$50,000 ÷ 25 = $2,000 CAC

Those same customers pay $500 a month on average, the business runs an 80% gross margin, and monthly churn is 2%, implying an average customer lifetime of 1 ÷ 2% = 50 months.

$500 × 0.80 × 50 months = $20,000 LTV

Comparing the two gives an LTV:CAC ratio of 10:1. A healthy ratio for a mature SaaS business is often cited around 3:1 or higher, so this company's 10:1 sits well above that bar.

Margin and retention

Spending efficiency

burn multiple = net burn ÷ net new ARR added

A worked example: a company burns $600,000 in a quarter and adds $400,000 of net new ARR in that same quarter.

$600,000 ÷ $400,000 = 1.5x burn multiple

A lower burn multiple is better, meaning less cash spent to produce each dollar of new recurring revenue. Thresholds for what counts as efficient vary by investor and by stage, though the direction is consistent: a rising burn multiple over time is a warning sign, even when absolute growth still looks fine.

These metrics need a mature business to mean anything. Most of them assume a recurring-revenue company with enough customer history to calculate a meaningful churn rate or lifetime value. A pre-seed company with a handful of early customers doesn't have the data to make CAC, LTV, or NRR statistically reliable, and a spreadsheet full of them at a six-person company chasing product-market fit produces false precision. At that stage, retention and usage intensity, covered in the first article of this series, tell you more than a ratio built on ten data points.

The next article looks at how these metrics interact with valuation once a company crosses into unicorn territory, and why a high valuation and strong revenue are separate claims.