Ecommerce

CAC Calculator

Use OmniCalc's CAC calculator to measure customer acquisition cost from total spend and the number of new customers acquired.

CAC calculator

Estimate what it costs to acquire a customer.

Enter total acquisition spend and the number of new customers to calculate customer acquisition cost and a few quick efficiency views.

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Why this result matters

What this calculator helps you answer

A simple acquisition-economics calculator for ecommerce operators who need a quick customer acquisition cost baseline before connecting it to LTV or payback targets. Use the tool above to enter a few clear inputs and get a practical answer you can use right away.

This CAC calculator helps ecommerce teams estimate how much they are spending to acquire each new customer. It is useful because customer acquisition cost is one of the first metrics used to judge channel efficiency, payback, and whether growth is sustainable.

Formula and method

How the calculation works

Customer acquisition cost is calculated by dividing total acquisition spend by the number of new customers acquired. The calculator also shows customers acquired per 1,000 spent and the implied spend required to acquire 100 customers at the same efficiency.

Example

Example CAC estimate

If total acquisition spend is $3,600 and 90 new customers are acquired, the calculator reports a CAC of $40 and the implied spend required to acquire 100 customers at the same efficiency.

FAQ

Common questions about this calculator.

Short answers to the questions people often ask before or after using the tool.

Question

What does CAC mean?

CAC stands for customer acquisition cost. It measures the average spend needed to acquire one new customer.

Question

Should CAC include only ad spend?

That depends on how your team defines acquisition cost. Many teams start with paid-media spend, while others include agency fees, creator spend, software, and salaries tied to acquisition.

Question

Why is CAC useful on its own?

It gives a fast baseline for comparing channels and periods. It becomes even more useful when paired with LTV, payback period, or contribution margin metrics.

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