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About Zero Party Data

Zero party data refers to information that customers intentionally share with a brand to personalize experiences, often consented and prioritized over inferred data. It represents a shift from relying solely on first party automation to actively collect explicit insights from users for more accurate personalization and privacy compliance.

Trend Decomposition

Trend Decomposition

Trigger: Growing privacy regulations and consumer demand for control over personal data drive brands to seek explicit, consent based data directly from users.

Behavior change: Marketers increasingly design value exchanges (toys, preferences, intents) to encourage customers to share data willingly in exchange for personalized experiences.

Enabler: Advances in privacy preserving technologies, consent management platforms, and transparent data collection practices make it easier to collect and use zero party data.

Constraint removed: Redundant reliance on third party cookies and inferred data is reduced as explicit customer input becomes a core data source.

PESTLE Analysis

PESTLE Analysis

Political: Regulatory emphasis on consent and data sovereignty shapes how zero party data can be collected and used.

Economic: Brands seek higher ROI from data driven personalization, potentially reducing wasted spend on broad targeting.

Social: Consumers increasingly expect transparent data use and value driven data exchanges with brands.

Technological: Privacy by design tools, consent management platforms, and identity resolution technologies enable scalable zero party data use.

Legal: Compliance with GDPR, CCPA, and similar laws reinforces explicit consent and data handling obligations.

Environmental: Not a primary factor; negligible direct impact.

Jobs to be done framework

Jobs to be done framework

What problem does this trend help solve?

Brands need reliable, consented data to personalize at scale without violating privacy.

What workaround existed before?

Reliance on inferred data, broad segments, and intrusive tracking techniques with privacy risk.

What outcome matters most?

Certainty and trust in data, leading to better personalization and compliant data use.

Consumer Trend canvas

Consumer Trend canvas

Basic Need: Personalization with trust and privacy.

Drivers of Change: Privacy regulations, consumer demand for control, need for more accurate targeting.

Emerging Consumer Needs: Clarity on data usage, tangible value in exchange for data.

New Consumer Expectations: Transparent data practices and opt in control.

Inspirations / Signals: Brands communicating explicit data value exchange; CMS and CMP adoption rising.

Innovations Emerging: Enhanced consent management, privacy first identity graphs, and zero party data platforms.

Companies to watch

Associated Companies
  • Salesforce - Leading CRM with focus on consent based data, customer data platforms, and privacy compliant personalization.
  • HubSpot - Inbound marketing platform integrating customer data and explicit preference collection for personalization.
  • Adobe - Experience Cloud offerings emphasize zero party data through consent driven personalization and data governance.
  • Oracle - Oracle Customer Experience focuses on data privacy, consent management, and unified customer profiles.
  • SAP - Customer Data and Privacy capabilities support explicit data collection and consented personalization.
  • Amperity - Zero party data platform focusing on privacy centric identity and unified customer profiles.
  • Permutive - Data delivery platform emphasizing privacy preserving, consent based audience data.
  • The Trade Desk - DMP/TTD ecosystem evolving toward privacy first data collection and explicit data partnerships.
  • Snowflake - Data platform enabling secure sharing and governance of zero party data across ecosystems.
  • Lyftrix (Lytics) - Customer data platform emphasizing audience segmentation using consented data signals.