Benchmarks

LTV:CAC ratio: what’s good and how to calculate it

The LTV:CAC ratio asks a simple question — is a customer worth more than it costs to win them? Here’s the formula, the famous 3:1 rule of thumb and its caveats, and why payback period matters just as much.

Every growth decision eventually reduces to one question: is a customer worth more than it cost to acquire them? The LTV:CAC ratio answers it directly — lifetime value divided by customer acquisition cost. Get it right and you can spend confidently to grow; get it wrong and you’re buying customers at a loss.

The two numbers

CAC (customer acquisition cost) is what it costs, on average, to win one customer:

CAC = total sales & marketing spend ÷ new customers acquired

LTV (customer lifetime value) is the profit a customer generates over their whole relationship with you:

LTV ≈ avg revenue per customer × gross margin × avg lifetime

where average lifetime ≈ 1 ÷ churn rate. The single most common mistake is using raw revenue instead of gross margin — that overstates LTV by ignoring the cost of actually serving the customer. Always margin-adjust.

What’s a good ratio?

The famous heuristic is 3:1 — each customer worth about three times their acquisition cost. As a sanity check it’s useful:

  • Below ~1:1 — you lose money on every customer. Unsustainable unless you’re deliberately buying market share with a plan to fix economics later.
  • Around 3:1 — the commonly-cited healthy zone: profitable acquisition with room to invest.
  • Well above ~5:1 — often a sign of under-spending. You could likely grow faster by acquiring more, even at a lower ratio.

But 3:1 is a rule of thumb, not a law. It depends on your margins, how long customers actually stay, and — crucially — how long your cash is tied up before it comes back.

Why payback period matters as much

A great LTV:CAC ratio can still strangle a business if the “lifetime” takes years to play out. CAC payback period — how many months of margin it takes to recover acquisition cost — measures the cash reality. Two companies can both hit 3:1, but the one that recovers CAC in 6 months can reinvest far faster than the one that takes 24. Many software teams target payback within roughly a year.

Calculate yours

Use the free CAC & payback calculator to get acquisition cost, the LTV:CAC ratio, and payback period, and the customer lifetime value calculator to build LTV from ARPU, margin, and churn. The inputs only become trustworthy when they’re grounded in real behavior — retention cohorts for churn, conversion for the funnel feeding CAC — which is exactly what product analytics gives you.

The bottom line

Margin-adjust your LTV, treat 3:1 as a compass rather than a target, and watch payback period alongside the ratio. Healthy unit economics aren’t one magic number — they’re a worthwhile customer, won at a sane cost, paid back fast enough to fund the next one.

FAQ

Common questions

What is a good LTV:CAC ratio?

A widely-cited rule of thumb is 3:1 — each customer is worth about three times what it cost to acquire them. Below ~1:1 you lose money on every customer; far above ~5:1 can signal underinvestment in growth. Treat 3:1 as a starting heuristic, not a law, since it varies by margin, growth stage, and payback period.

How do you calculate LTV and CAC?

CAC = total sales and marketing spend ÷ new customers acquired in the same period. LTV (customer lifetime value) ≈ average revenue per customer × gross margin × average lifetime, where lifetime ≈ 1 ÷ churn rate. Divide LTV by CAC for the ratio.

What is CAC payback period?

CAC payback is how many months of a customer’s contribution (revenue × gross margin) it takes to earn back what you spent to acquire them. Many software teams aim to recover CAC within roughly 12 months; shorter payback means less cash tied up in growth.

Should I use revenue or gross margin in LTV?

Gross margin. Using raw revenue overstates LTV because it ignores the cost of serving the customer. A margin-based LTV is the honest figure to compare against CAC.

Know your unit economics.

Pug ships funnels, retention, and per-person profiles so you can ground LTV and CAC in real behavior, not guesses. Open source, self-hostable, free in open beta.