GA4
Client ID ↗
A client ID is a pseudonymous identifier for a browser instance in GA4 web measurement. It does not establish a person’s real-world identity.
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323 terms
GA4
A client ID is a pseudonymous identifier for a browser instance in GA4 web measurement. It does not establish a person’s real-world identity.
GA4
User-ID connects a signed-in user’s activity across devices and sessions using a persistent identifier supplied by your business.
GA4
Google signals uses eligible Google-account signals to support advertising and demographic features. It is distinct from GA4’s current reporting identity.
GA4
GA4 data retention controls the availability of user- and event-level data. It is not the same as the retention of standard aggregated reports.
GA4
Explorations combine dimensions, metrics, and segments to investigate questions in GA4.
GA4
A custom dimension registers a collected custom value for use as a reporting category in GA4. Scopes include event, user, and item.
GA4
A custom metric registers a custom numeric event parameter as a reporting metric in GA4.
GA4
Event parameters add context such as a page, product, or amount to a GA4 event.
GA4
GA4 data filters manage internal or developer traffic during processing. They differ from hiding data in a report.
GA4
GA4 internal traffic is company visit data that should be excluded from analysis, including employee and development team IPs. Define IP ranges in the data stream tag configuration and then exclude them from the properties using data filters.
GA4
DebugView is a GA4 tool for inspecting events and parameters from devices in debug mode.
GA4
The real-time report is a report that immediately checks the active users of the last 30 minutes in GA4 and the events, pages, and sources they generate, and is used for tagging verification and campaign response monitoring.
GA4
Standard Reports are a collection of built-in reports that quickly check key metrics such as traffic, engagement, conversions, and retention with pre-configured visualizations in GA4 for day-to-day performance monitoring.
GA4
Custom reports are custom report views that you can share with your entire team by modifying standard reports in GA4 or creating new ones from the Report Library.
GA4
An exploration report is an analysis saved and shared in GA4 Explore. Distinguish its saved configuration from the retention of underlying data.
GA4
Free-form exploration is the basic template for GA4 exploration and is an advanced analysis function that freely combines dimensions, metrics, and segments and visualizes them in tables, charts, heatmaps, etc.
GA4
Funnel exploration is an analysis tool in GA4 that visualizes the various event stages a user goes through and checks the abandonment rate of each stage. It is used to find conversion bottlenecks.
GA4
Path exploration is an analysis tool in GA4 that shows in a tree structure what actions the user took before and after a specific event or page, and is used to identify conversion paths and exit patterns.
GA4
Segment overlap is an analysis tool that visualizes up to three user segments in a Venn diagram in GA4 and compares intersection and difference users, and is used for audience definition and segment planning.
GA4
User explorer is an analysis tool in GA4 that checks the event timeline of individual users, and is used to understand on an individual basis which actions a user took before failing to convert.
GA4
Cohort exploration is an analysis tool in GA4 that shows retention in a grid format, showing how many user cohorts acquired during a specific period return to visit later.
GA4
Measurement Protocol sends GA4 events over HTTP from servers and similar systems. It is designed to supplement web-tag or app-SDK collection.
GA4 Events/E-commerce
Automatically collected events come from the default behavior of a GA4 tag or SDK. Distinguish them from enhanced measurement and explicitly implemented events.
GA4 Events/E-commerce
Enhanced Measurement Events are a set of automated events that are collected simply by turning on a toggle in the GA4 management screen. Scrolling, external link clicking, file downloading, video playback, site search, etc. can be measured without coding, greatly simplifying the work that had to be done one by one from UA to GTM.