TapCub is live — analytics, insights and live chat, free on one platform
Glossary

Zero-party data: definition, examples and how to use it

Zero-party data is information customers intentionally share with you, such as preferences and goals. How it differs from first-, second- and third-party data, collection examples, an activation analysis using an onboarding answer and how to use it responsibly.

Ethan Brooks Reviewed by Oliver Reed Also called zero party data Last updated Nov 5, 2026 Glossary

Quick answer

Zero-party data is data a customer intentionally and proactively shares with a brand, such as preferences, purchase intentions, goals and how they want to be contacted, as opposed to behavior a company observes (first-party) or buys (third-party).

What is zero-party data?

Zero-party data is information a customer intentionally and proactively shares with a brand: their preferences, intentions, context and how they want to be treated. Answers to "What will you use this for?", a style quiz, communication preferences or a stated budget are zero-party data.

The term was coined by Forrester Research in 2018 to distinguish data people tell you from data you observe about them (first-party behavioral data) or buy (third-party data).

Zero-, first-, second- and third-party data

TypeSourceExampleStrengthWeakness
Zero-partyCustomer tells you directlyOnboarding answer "I run a 20-person marketing team"Explicit intent and contextSelf-reported, can be incomplete or aspirational
First-partyYou observe on your own propertiesPages viewed, features used, purchasesAccurate behavior, you own itSays what, not why
Second-partyAnother company's first-party data, shared with youA partner shares event attendee listsRelevant audiencesDepends on contracts and consent
Third-partyAggregators who collected it elsewherePurchased interest segmentsScaleOften inaccurate, declining availability, privacy risk; see third-party data

In practice zero-party data is usually stored and governed as part of your first-party data; the distinction is about how it was obtained.

Examples of collecting zero-party data

  • Onboarding questions: role, team size, main goal.
  • Preference centers: topics and frequency for emails.
  • Quizzes and product finders in e-commerce.
  • In-product surveys at relevant moments.
  • Account settings such as currency, language and time zone.
  • Conversations, for example a buyer telling a chat agent what they are trying to solve.

The pattern is a value exchange: people share information because they get something better in return, such as a relevant setup, recommendations or fewer irrelevant emails.

Worked example: using an onboarding answer in analytics

A SaaS product asks new users one question at sign-up: "What will you mainly use us for?" Over a month (sample data):

Answer (zero-party)Sign-upsActivated in 7 daysActivation rate
Marketing reporting1,20050442%
Product analytics90049555%
Developer integration60036661%
Other / skipped3009030%
Total3,0001,45548.5%

Behavioral data alone showed an overall 48.5% activation. The stated goal reveals that marketing users activate least, which points to a gap in the marketing onboarding path, while developers activate fastest. The team can now tailor setup steps by answer and measure each path separately.

Using zero-party data responsibly

  • It is personal data when linked to a person. Under the GDPR and similar laws you still need a lawful basis, a clear purpose and retention limits; "they gave it to us" does not mean "we can use it for anything".
  • Ask only what you will use, and say why you are asking.
  • Let people update or delete it from their settings.
  • Do not put free-text answers in analytics properties; use fixed options, and keep anything sensitive out. See keep personal data out of analytics.
  • Validate it against behavior. Stated intent is useful, but people do not always do what they say.

In TapCub

Store zero-party answers as user or account properties with fixed values (for example primary_goal = "marketing_reporting"), set at sign-up or when settings change. You can then build segments from them and compare activation, funnels and retention by answer. Mark any sensitive property in the property dictionary so it is masked in lists and exports. See segments and first-party data strategy.

Sources

Was this explanation clear?

We use your answers to fix and expand this page.

Ethan Brooks

Solutions Engineer

Covers SDKs, API integrations, and data implementation, with an emphasis on validation, system interoperability, and troubleshooting.

FAQ

Questions people ask

Short answers to the follow-up questions that come up most.

Still have a question?

Chat with the team behind TapCub — we usually reply within a few hours on business days.

What is an example of zero-party data?

An answer to an onboarding question such as "What will you use this for?", a style quiz result or email topic preferences.

How is zero-party data different from first-party data?

Zero-party data is told to you directly; first-party data is observed from behavior on your own site or app.

Is zero-party data personal data?

Yes, when it relates to an identifiable person. It still needs a lawful basis, a clear purpose and retention limits.

How do I use zero-party data in analytics?

Store answers as fixed-value user or account properties and compare activation, conversion and retention by answer.

See this number on your own site

Add one script tag for web and apps, and the first reports fill in within minutes.

See your data clearly. Find your growth.

Every click, backed by data. Install one line of code and see your first numbers in a minute.

No credit card · Free plans for analytics and chat · Cookieless analytics