What Is CAC (Customer Acquisition Cost)?

CAC (customer acquisition cost) is the total sales and marketing spend required to acquire one paying customer, calculated as total spend over a period divided by the number of new customers gained in that period. Spend $10,000 on native ads in a month and it produces 200 new customers, your CAC is $50.

The formula, and where it gets fuzzy#

CAC = total acquisition spend divided by number of new customers. The fuzziness is in what counts as "spend." A narrow CAC only counts media spend, what you paid Taboola, Outbrain, or MGID. A fully loaded CAC adds creative production, tracking software, agency fees, and a share of salary for whoever manages the campaigns. Two teams quoting "CAC" can mean very different things, so ask which version you're looking at before comparing numbers.

Channel CAC vs blended CAC#

Channel CAC isolates one source, for example CAC from a single network. Blended CAC averages every acquisition channel together, including organic and referral traffic that cost nothing directly. Blended CAC is always lower than your worst-performing paid channel and higher than your best one, which makes it a poor number to optimize a single campaign against. Anyone running media buying budgets on a specific network should track channel CAC, and save blended CAC for board-level reporting.

Why CAC alone doesn't tell you if you're profitable#

A $50 CAC is cheap if the customer generates $300 in lifetime value, and expensive if they generate $55. CAC only becomes a useful decision input once you compare it against lifetime value, typically expressed as an LTV-to-CAC ratio, or against a target ROAS if you're working from a per-purchase margin instead. Many operators treat 3:1 as a rough floor for a healthy paid-acquisition channel, though the right ratio depends heavily on margin and how fast the business needs cash back.

CAC in native advertising specifically#

Native CPCs tend to run lower than search or social, but native audiences are typically colder since they weren't actively searching for your product, so conversion rate is often lower too. A common pattern across the index: verticals running strong advertorial landing page funnels tend to hold a lower CAC than the same offer sent to a bare product page, because the pre-lander does some of the persuading before the pixel ever fires.

How OpenAdLibrary helps#

You can't see a competitor's actual CAC, but you can see proxies for it. A creative running for months across multiple geos inside OpenAdLibrary's ad intelligence index is a strong signal its CAC is currently beating the advertiser's LTV target, because nobody keeps feeding a losing campaign that long.