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Event collection

As explained in First-Party Data Activation

The capture of user or system events from digital properties and other interaction sources, often as they occur.

Event collection is the listening layer of a marketing data architecture: it captures website, mobile application, and other engagement activity, often in real time, before the data enters a marketing data lakehouse. section 4.2.2

The captured events can differ in identity and activation value:

  • Anonymous data supports measurement but is not targetable. section 4.2.2
  • Pseudonymous data creates individual records that can be matched only with specific advertising platforms. section 4.2.2
  • Personally identifiable data can be matched with the broader marketing data lakehouse. section 4.2.2

A composable collection path

Analytics software such as GA4, Adobe Analytics, or Twilio Segment can stream engagement events into AWS S3 or Google Cloud Storage, where they can be queried for up-to-date data. Transactional records follow a separate batch-ingestion path. section 4.2.2

Figure 4.2 Architecture diagram for a marketing stack
A diagram of a marketing data

AI-generated content may be incorrect.

Use the architecture diagram to place event collection alongside ingestion, customer profile unification, and activation. section 4.2.2

How First-Party Data Activation covers it

How deep it goes
Distinguishes real-time sources, storage, queryability, and identity types, but stops short of implementation instructions.
Examples
Uses GA4, Adobe Analytics, Twilio Segment, AWS S3, and Google Cloud Storage as collection and storage examples.
What it assumes
Assumes familiarity with digital engagement sources and distinguishes them from backend transactional systems.
What you can do after
Operate real-time event flows into queryable storage while distinguishing anonymous, pseudonymous, and personally identifiable data.
How it connects
Connects event collection with batch data ingestion, customer profile unification, marketing data lakes, and activation.

Related concepts

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.