Zero-Party Data
Definition
Data that a customer intentionally and proactively shares with a business, including preferences, purchase intentions, communication choices, and personal context. Unlike first-party data (which is observed from behaviour), zero-party data is explicitly volunteered through mechanisms such as preference centres, surveys, quizzes, and account settings. It is considered the highest-quality data for personalisation because it directly reflects stated customer intent, and its collection inherently complies with consent-based privacy requirements.
Complementary Terms
Concepts that frequently appear alongside Zero-Party Data in practice.
Data collected directly by an organisation from its own customers, users, or audience through owned channels such as websites, apps, CRM systems, transactions, and surveys. First-party data is considered the most valuable data category because it is collected with consent, is unique to the organisation, and provides direct insight into customer behaviour and preferences.
Data collected by entities that do not have a direct relationship with the individuals whose data is being gathered, typically aggregated from multiple sources and sold to other organisations for marketing, analytics, or enrichment purposes. The value and availability of third-party data have declined sharply due to privacy regulations (GDPR, CCPA), browser restrictions on third-party cookies, and growing consumer demand for data transparency.
A secure, privacy-preserving technology environment that enables multiple parties to combine and analyse their datasets without either party gaining access to the other's raw data. Data clean rooms use cryptographic techniques, aggregation rules, and access controls to enable collaborative analytics while maintaining data privacy compliance.
A software system that creates a unified, persistent customer database accessible to other systems by collecting and integrating customer data from multiple sources — including CRM, website analytics, email, social media, transactions, and customer service interactions. CDPs resolve customer identities across channels and devices to build comprehensive individual profiles, enabling personalised marketing, customer journey orchestration, and advanced segmentation.
The process of generating measurable economic value from data assets, either directly through licensing and sale or indirectly by using data to improve products, optimise operations, and inform strategic decisions. Data monetisation strategies are central to unlocking the full enterprise value of a company's information assets.
A secure online repository used in M&A transactions, capital raises, and other due diligence processes to store and share confidential documents with authorised parties. Virtual data rooms provide granular access controls, activity tracking, watermarking, and Q&A workflows.
A centralised repository of structured, processed data optimised for analytical querying and business intelligence reporting. Data warehouses use a schema-on-write approach, meaning data is cleaned, transformed, and organised into predefined structures before loading.
The General Data Protection Regulation (EU 2016/679), a comprehensive data protection law that governs the collection, processing, and storage of personal data of individuals within the European Economic Area. GDPR imposes strict requirements on data controllers and processors, including lawful basis for processing, data minimisation, breach notification within 72 hours, and fines of up to 4% of global annual turnover for non-compliance.
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