Zero-Party Data

Zero-party data is information a customer intentionally and proactively shares with a brand, such as their stated preferences, purchase intentions, or how they'd like to be contacted, as opposed to data a brand infers by observing behavior. The term was coined to draw a clear line between "what a customer told us directly" and "what we figured out by watching what they did."

How it differs from first-party data#

First-party data is collected from a customer's actual behavior on a brand's own properties, page views, purchase history, email opens. It's valuable and privacy-friendlier than third-party data, but it's still inferred: a brand is interpreting behavior, not asking directly. Zero-party data skips the inference step. A quiz that asks "what skin type do you have," a preference center where a subscriber picks which categories of email they want, or a post-purchase survey asking why someone bought, all produce zero-party data, because the advertiser's customer stated it themselves, with clear awareness they were sharing it.

That directness is exactly why it's considered higher-confidence for personalization: there's no guesswork about whether a click meant genuine interest or was an accident, because the customer told you plainly.

Why brands are collecting more of it#

As cookieless targeting methods replace parts of what third-party tracking used to do, brands have leaned harder into asking customers directly for the information they need, rather than trying to infer it around consent restrictions. It also tends to convert well as a mechanism on its own: a well-designed quiz or preference form on a landing page is a legitimate engagement tactic, not just a data-collection wrapper, when it gives the customer something back (a recommendation, a discount, a more relevant experience) in exchange for the information.

The tradeoff is scale and honesty. Zero-party data only covers customers willing to actively participate, which is a smaller and self-selected group compared to passive behavioral tracking, and its usefulness depends on customers answering accurately rather than gaming the form for an incentive.

Where it fits for advertisers running native and affiliate traffic#

For media buyers running native and affiliate campaigns, zero-party data shows up less as a targeting input and more as a landing-page and funnel design choice: a short quiz before an offer reveal, or a preference step before checkout, that both improves conversion tracking quality and gives the advertiser a cleaner signal for retargeting a segment that already told you what it wants, on top of whatever geo targeting is already narrowing the audience. It pairs naturally with a data clean room approach when a brand wants to combine that stated preference data with a platform's audience without exposing either side's raw records.

Before building a new landing funnel around a preference quiz, it's worth checking whether competitors in your vertical are already running a similar mechanic. OpenAdLibrary's ad intelligence index makes it straightforward to see live creative and landing-page patterns across networks and verticals.