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Privacy-centric marketing architecture

As explained in First-Party Data Activation

A privacy-centric marketing architecture is a marketing data architecture that embeds privacy protection, compliance, transparency, and consent across its stages.

A privacy-centric marketing architecture treats data sourcing as a protected foundation: it consolidates internal and external information while embedding consent, compliance, transparency, and safeguards against re-identification. section 2.3.1

Organize sourced information into five decision-supporting categories:

  • Customer and engagement data, including profiles, interactions, transactions, feedback, and experience signals. section 2.3.1
  • Marketing and content performance data, including creative assets, promotional content, product information, and campaign metrics. section 2.3.1
  • Operational business data, external and market intelligence, and privacy and compliance data. section 2.3.1

How First-Party Data Activation covers it

How deep it goes
Maps the sourcing phase and major data categories, but does not detail later architecture stages or implementation procedures.
Examples
Uses fitness recommendations, abandoned-cart reminders, support analysis, homepage testing, and repurposed campaign videos as data applications.
What you can do after
Evaluate marketing decisions and deliver more relevant personalized experiences while protecting records and supporting privacy compliance.
How it connects
Connects customer data, marketing performance data, operational data, market intelligence, privacy compliance, consent, and personalization.
Cover of First-Party Data Activation
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This explainer was generated by Manning's knowledge graph from the text of First-Party Data Activation. The section links point to the parts of the book it draws on.