Growth metrics guide
How to Calculate CAC (Customer Acquisition Cost)
Customer acquisition cost is the first number that tells you whether growth is sustainable. Here is how to calculate it honestly, what to include, and where teams go wrong.
Customer acquisition cost (CAC) is the total sales and marketing cost required to acquire one new customer over a given period. It is the denominator in almost every efficiency metric that matters — the LTV:CAC ratio, CAC payback period, and blended return on spend — so getting it right is the foundation of trustworthy unit economics.
The CAC formula
The formula itself is simple:
CAC = total sales & marketing cost ÷ new customers acquired
Choose a period (a month, quarter, or year), add up everything you spent to win customers in that period, and divide by the number of new customers you actually acquired. The difficulty is never the division — it is deciding honestly what belongs in the numerator.
What to include in the cost
A fully-loaded CAC includes far more than ad spend. At minimum, count:
- Paid media — ad spend across every channel.
- Salaries and commissions for marketing and sales staff (a large hidden cost for sales-led companies).
- Tools and software — your ad platforms, CRM, attribution, email service provider, and analytics.
- Agencies, contractors, and creative production.
- Content and SEO costs attributable to acquisition.
A "marketing-only" CAC that omits sales headcount will flatter your numbers and mislead every downstream decision. If you present CAC to investors, assume they will ask what is included.
Blended CAC vs. paid CAC
Two views are worth tracking:
- Blended CAC divides all acquisition cost by all new customers, including those from organic, referral, and word-of-mouth. It tells you the true average cost.
- Paid CAC divides paid spend by customers attributable to paid channels. It tells you the marginal cost of buying one more customer — the number that matters when you consider scaling spend.
Blended CAC almost always looks better because free channels drag the average down. When someone quotes a suspiciously low CAC, ask which one they mean.
A worked example
Suppose last quarter you spent $40,000 on marketing and sales — ads, a fraction of two salaries, and tooling — and acquired 160 new customers. Your CAC is $40,000 ÷ 160 = $250. On its own, $250 is neither good nor bad. It only becomes meaningful next to what a customer is worth. If your margin-adjusted lifetime value is $2,300, your LTV:CAC is roughly 9:1 — strong, and possibly a sign you could spend more. If LTV is $300, you are barely breaking even.
You can run this exact calculation, including margin-adjusted LTV and payback, in our unit-economics calculator. Inputs are capped at sane limits so the tool never reports an impossible result.
Blended vs. fully-loaded CAC — a closer look
It is worth stress-testing the same $250 CAC two ways. Suppose that of your 160 new customers, 100 came from paid ads and 60 arrived through organic search and referrals at effectively zero marginal cost. Your blended CAC is still $250, but your paid CAC — the number that decides whether to increase ad budget — is closer to $40,000 ÷ 100 = $400. If you scale ads expecting a $250 marginal cost, you will be unpleasantly surprised. This gap between blended and marginal cost is exactly why efficient organic and referral channels are so valuable: they lower the average without you buying every customer. It also explains why a company can post a healthy blended CAC while its paid channels quietly become unprofitable as they saturate. Segmenting CAC by channel — and tracking how marginal CAC rises as you spend more in a channel — is the single most useful refinement most teams can make to this metric.
Common mistakes
- Excluding salaries. The single most common way to understate CAC.
- Mismatched time windows. Spend in one period often produces customers in the next. For long sales cycles, lag your customer counts or use cohort-based attribution.
- Counting the wrong "customers." Free signups are not customers. Count paying customers, or be explicit that you are measuring cost per signup.
- Ignoring channel mix. A healthy blended CAC can hide one channel bleeding money. Segment by channel where you can.
Where CAC fits in the bigger picture
CAC is only half of the story. The decisions it drives — whether to scale a channel, raise prices, or improve retention — depend on comparing it to value and to how quickly you get your money back. Read our companion guides on calculating LTV, the LTV:CAC ratio, and the CAC payback period. For a wider framework that puts acquisition in context, see AARRR pirate metrics.
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Sources & benchmarks
- David Skok, SaaS Metrics 2.0 — A Guide to Measuring and Improving What Matters, forEntrepreneurs (matrix.vc / forentrepreneurs.com), accessed 2026. Establishes CAC, LTV, and the 3:1 LTV:CAC guideline.
- Bessemer Venture Partners, State of the Cloud / cloud efficiency benchmarks, accessed 2026 — context on payback and efficient growth. Figures vary by segment; verify current data.
Frequently asked questions
What is a good CAC?
There is no universal number — a good CAC is one that is comfortably below the value of the customer it buys. Most teams judge CAC against LTV (aim for roughly 3:1 LTV:CAC) and payback period (often under 12 months for SaaS) rather than in isolation.
Should CAC include salaries?
Yes. A fully-loaded CAC includes the salaries and commissions of marketing and sales staff, tooling, and agencies — not just ad spend. Excluding salaries is the most common way teams understate CAC.
What is the difference between blended and paid CAC?
Blended CAC divides all acquisition costs by all new customers, including organic and referral. Paid CAC divides only paid spend by customers from paid channels, showing the marginal cost of buying one more customer.
How often should I calculate CAC?
Monthly or quarterly is typical. Use a window long enough to smooth out noisy spend but short enough to catch trends — and align it with your sales cycle so spend and the customers it produced fall in comparable periods.