Zero-party data is information a person chooses to give a brand directly. It includes stated preferences, survey responses, profile answers, and intentions, the things a user tells you rather than the things you observe. The term was coined to separate this volunteered data from other types, and it has grown in importance as privacy rules and platform changes make behavioral tracking harder and consent more central.

How it works

Zero-party data is collected through a direct exchange. A brand asks a question, a user answers it on purpose, and both sides understand the trade. Common sources include preference centers, onboarding quizzes, polls, and surveys. Because the user knowingly hands over the information, it comes with consent built in and tends to be accurate, since people describe their own preferences better than any inference can. The catch is that users only share when they see a reason to, so collection depends on offering something in return.

Zero-party vs. first-party data

First-party data is information a brand observes from its own users, such as which screens they visit, what they click, and how often they return. It is gathered passively as a byproduct of activity. Zero-party data is different because the user provides it deliberately. First-party data tells you what someone did; zero-party data tells you what someone wants or intends. The two complement each other, and the strongest profiles combine observed behavior with volunteered preferences.

Why it matters

As third-party cookies and cross-app identifiers fade, brands that rely on tracking lose signal. Zero-party data does not depend on any of that, because the user supplied it directly and agreed to its use. That makes it durable under privacy regulation and useful for personalization, since a stated preference is a clearer instruction than an inferred one. The practical problem is scale: getting enough users to answer requires a genuine incentive, which is where reward-based formats come in.

Collecting zero-party data on an offerwall

An offerwall is well suited to gathering zero-party data because it is built around a clear exchange of value. Survey and profile offers ask users to answer questions in return for in-app currency, so the user consents to share preferences and receives a reward they want. This is a form of incentivized traffic, where the reward drives participation, and it can lift response rates on surveys that would otherwise be ignored. Because the reward makes the trade explicit, users understand what they are giving and why, which keeps the data consented and clean. Publishers earn on the completed offer while advertisers collect the responses they paid for.

Common mistakes to avoid

• Confusing it with first-party data. Observed behavior is not volunteered data, and treating an inference as a stated preference misreads the user.

• Collecting without a reason to answer. Users share when there is a clear benefit. Asking for data with nothing in return produces thin, low-quality responses.

• Ignoring conversion. Survey offers still need to be easy to complete. Watching CVR (Conversion Rate) shows whether the ask is worth the reward.