First-Party Data: Definition, Examples, and Uses
First-party data is information an organization collects directly from people interacting with its products or services through its own website, app, physical store, or other direct contact, as described in Google’s definition of first-party data.
Examples of first-party data
The IAB’s examples of online and offline first-party data include website visits, product registrations, online transactions, and loyalty cards. Common collection methods include:
- Website and app activity: Page loads, link clicks, and completed purchases are interactions that Google Analytics events can measure.
- Customer registrations: Information supplied during a purchase, an app marketing signup, or an in-store loyalty signup falls within the direct collection contexts described in Google’s Customer Match policy.
- Preferences and intentions: Forrester’s zero-party data definition includes preference-center answers, purchase plans, and personal context shared deliberately with a brand.
A customer relationship management system, or CRM, can store and manage online and offline first-party information, as the IAB explains. Collection source and storage location describe different aspects of the same record.
First-party vs. second-party, third-party, and zero-party data
The distinctions concern where information comes from and, for zero-party data, how deliberately it was shared.
| Data type | Meaning | Typical source |
|---|---|---|
| First-party | Information collected through direct interactions with an organization’s own products and services. | Its website, app, or physical store. |
| Second-party | Another organization’s first-party data made available through a direct arrangement, typically for a defined purpose. | A partner’s directly collected dataset. |
| Third-party | Information sourced and aggregated by an organization other than the original collector. | An external aggregated dataset. |
| Zero-party | Information deliberately volunteered to a brand. | Preferences, purchase plans, or personal context. |
Applying these definitions, a directly submitted preference can meet both descriptions: first-party concerns the collection relationship, while zero-party concerns deliberate disclosure.
Keep observed activity, declared preferences, and inferred attributes distinguishable in the record. This applies the ICO’s accuracy guidance, which calls for clear source and status information and for opinions to be identified as opinions.
What first-party data is used for
First-party data supports measurement, personalization, and qualifying advertising audiences. These are different uses, with different information requirements.
Measurement: Website and app events record specific interactions. In Google Analytics, an important action can be designated a key event, allowing its frequency and the performance of marketing channels leading to it to be evaluated through event and key-event reporting. The event definition determines what is being measured.
Personalization and research: Forrester describes preference collection as a way to inform product recommendations, segmentation, and market research, using brief interactions that offer a clear benefit.
Advertising audiences: Google’s Customer Match policy allows qualifying directly collected information to be uploaded for supported audience functions, subject to account eligibility. It also requires disclosure of relevant data sharing, consent where required, and compliance with applicable rules.
The IAB notes that first-party datasets can be small in scale. Their coverage reflects the direct interactions through which information was collected.
How to collect first-party data
Collection starts with a defined use and the information needed to support it. The following process applies the cited collection and data-management principles.
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Specify the purpose. Identify whether the information is needed for measurement, recommendations, customer communications, or another defined function. Under the UK’s purpose-limitation guidance, purposes for processing personal information must be clear from the start, recorded, and explained to people.
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Choose necessary fields and events. Collect enough information to fulfil the purpose while excluding unrelated fields. The ICO’s data-minimisation guidance calls for personal data to be adequate, relevant, and limited to what is necessary. It specifically rejects collection based merely on the possibility that information might be useful later.
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Use a direct collection method. Collect through the organization’s own sites, apps, or physical stores. For preference questions, Forrester recommends brief polls, quizzes, or similar interactions with a clear benefit for providing an answer.
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Keep source and status with the record. Identify where information came from, whether it was stated or observed, and whether a derived value is an interpretation. Establish a way to handle corrections and updates. The ICO’s accuracy guidance connects appropriate checking with the information’s source, status, and intended use.
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Set retention and review rules. Record why information is retained and review whether that reason still applies. The ICO’s storage-limitation guidance explains that UK GDPR does not prescribe one retention period for every data type: the period must be justified by the purpose. Information no longer needed should be erased or anonymized, subject to applicable requirements.
For digital event collection, verify that the recorded event and its parameters match the intended interaction. Google Analytics provides Realtime and DebugView to check that events have been received and inspect the parameters sent. Successful collection verifies the implementation; it does not establish permission for every use of the resulting information.
First-party data and first-party cookies are different
First-party data describes a collection relationship. A first-party cookie describes a browser context. The ICO’s explanation of storage and access technologies identifies the first party as the website being visited and a third party as another domain. Cookies are small text files that can support functions such as logins, shopping baskets, and traffic analysis.
First-party data also includes registrations, transactions, and loyalty records. A first-party data strategy therefore includes more than the cookies set on a website.
The technical label does not create a privacy exemption. In the UK, the ICO states that first-party and third-party terminology has no inherent meaning in PECR or UK GDPR. For storage and access technologies, responsibility for the activity and its purposes matter more than the party label.
Does first-party data require consent?
The ICO’s guide to lawful basis identifies consent as one available basis for processing personal information under UK GDPR, alongside bases such as contract and legal obligation. The appropriate basis depends on the purpose and relationship with the person, and must be determined and documented before processing starts. The first-party label does not select that basis.
Platform requirements add another constraint. Google’s Customer Match policy requires consent to sharing where law or applicable Google policies require it and restricts sensitive-interest targeting. Direct collection is a condition of eligibility for that service, rather than complete authorization to upload any customer record.