Zero-Party Data

concept

Also known as: Explicit preference data; declared data; intentionally shared customer data

Zero-party data is information that a customer intentionally and proactively shares with an organisation, such as preferences, intentions, context, or desired recognition.

Technical explanation

It is collected through explicit interactions such as preference centres, quizzes, onboarding choices, surveys, and saved settings. Implementations should record purpose, consent or other lawful basis where required, provenance, timestamp, permitted uses, and mechanisms for correction or withdrawal.

Business relevance

Zero-party data can improve personalisation and segmentation while reducing reliance on inferred behaviour, provided the organisation offers a clear value exchange and honours the customer’s choices.

Implementation example

A retailer asks customers to select product interests and communication frequency in a preference centre, stores those choices with provenance, and uses them to control recommendations and campaigns.

Limitations and common misconceptions

Self-reported data can be incomplete, outdated, strategic, or biased. The term does not remove privacy obligations, and collecting excessive preferences without visible benefit undermines trust.

Topics

Data Engineering Revenue Operations AI Governance Experience Design

Sources

Forrester — Ask, Don’t Interrogate: Best Practices for Collecting Zero-Party Data — Forrester — An Illustrated Guide to Collecting Zero-Party Data — https://www.forrester.com/report/an-illustrated-guide-to-collecting-zero-party-data/RES161015

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