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Google Analytics is a cloud-hosted web and app analytics service from Google that collects user interactions, traffic sources, and conversion paths. It provides prebuilt reports, audience segmentation, and integrations such as BigQuery and Google Ads. Privacy, data retention, and measurement strategy are essential considerations for correct use.
Use this profile to understand the building block briefly, place it in the model, and open related building blocks.
Usable application software: supports people in a task.
Concrete cog in the system that works inside larger relationships.
Google Analytics is a web and app analytics service for collecting and analyzing user interactions, acquisition sources, audiences, and conversions.
Google acquired Urchin in 2005, and the current GA4 generation uses an event-based data model across websites and apps.
A tag or SDK sends events with parameters and user context to a property. Reports and explorations aggregate sessions, paths, and conversions, while audiences group user attributes. Consent, retention, and data filters govern collection and use.
Named interactions and parameters represent observable product behavior.
Device, user, and session links connect events within privacy boundaries.
Reports, exploration, and exports translate data into questions and segments.
Google Analytics supports marketing and product decisions. Tracking is never complete or neutral, so consent, data minimization, bot filtering, attribution limits, and owned business metrics must be considered.
Where this building block is located in the topic model.
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These sources establish the term and its professional meaning.
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The level within the organization (enterprise, domain, team) at which the AssetBlock is applied.