What is first-party data?

First-party data is what you collect directly from the customer yourself. In a cookieless world it's your most resilient and valuable asset.

Definition

First-party data is data you collect directly from your own customers and channels (purchases, website behavior, email engagement, contact details) and which you own and control.

Also called: First-party data, 1st party data, Owned 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.

The asset that doesn't disappear

Third-party data (collected about the user elsewhere and traded across the web) is on its way out as cookie restrictions and privacy law tighten. First-party data is the opposite: it comes directly from your own relationship with the customer, you own it, and it doesn't vanish when a browser kills a cookie.

It's both more resilient and more precise. Clean, consented first-party data drives better segmentation, stronger lookalikes, higher match quality and more accurate measurement. Building and activating it (via server-side tracking, an email list and zero-party collection) is one of the most important investments for a cookieless future.

Frequently asked questions

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

First-party data you collect yourself directly from the customer and own. Third-party data is collected by others and traded across sites, and it's on its way out with cookie restrictions. First-party data is therefore both more resilient and more valuable.

How do I activate my first-party data?

Via server-side tracking (for better match quality), customer lists for lookalikes and targeting, and segmentation in email/SMS. The cleaner and more consented the data, the better all those activations perform.

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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