What is zero-party data?

Zero-party data is information the customer voluntarily gives you. In a cookieless world it's gold: consented, precise and your own.

Definition

Zero-party data is data the customer proactively and voluntarily shares with you (like preferences, size, goals or birthday), typically via quizzes, profile questions or preference centers.

Also called: Zero-party data, Zero party data, Volunteered data
Explore the process

From customer behaviour to relevant use.

01

Collection

Data comes from your own relationship: a purchase, visit or response.

02

Context

Connect data to the right purpose and keep profiles and events consistent.

03

Relevance

Adapt the experience using relevant signals rather than collecting every possible field.

The connection01 / 03

01Data comes from your own relationship: a purchase, visit or response.

Data origin alone does not determine whether it may be used. Assess purpose, quality and permissions.

Data the customer gives you on purpose

Where third-party data is collected about the customer elsewhere (and is on its way out as cookie restrictions tighten), zero-party data is something the customer actively chooses to tell you: their skin type, their size, what they're after, when their birthday is. It's consented, precise and your own. No one can take it from you.

The value is twofold: it makes your marketing more relevant (better segmentation and personalization), and it strengthens the relationship, because the customer gets something back for sharing. Quizzes, preference centers and profile questions in flows are the typical ways to collect it.

Frequently asked questions

What's the difference between zero-party and first-party data?

First-party data is what you observe about the customer (purchases, clicks, behavior). Zero-party data is what the customer actively tells you (preferences, goals). Zero-party is even more precise and consented, because it's volunteered.

How do I collect zero-party data?

Via quizzes (like skin type or needs), profile and preference questions in the welcome flow, and preference centers. Give the customer a reason to share (more relevant recommendations or a better match), so willingness goes up.

From insight to action

See how it applies in practice.

Matraws

Growth also needed a better purchasing process

We built Matraws' trade-in system with submission, assessment, offers and handling in one backend. The work addressed supply as a constraint.

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About the author

Growth hacker and fractional CMO with 10+ years' experience and hundreds of millions in managed ad spend behind him. Background from larger Danish and international scale-ups, and from the agency world.

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