For example, if you see 888,666 in the Event count column and the organic row (see the following table), then the users who arrived through an organic search triggered 888,666 events. When paired with a metric like Event count, the organic dimension value shows you the number of new sessions that came from an organic search (e.g., Google Search) and in which users triggered any event. If the Session source dimension has a dimension value of "organic," for example, it means that these are users who landed on your website or app through an organic search (e.g., through Google Search). Google Analytics surfaces information about session-scoped dimensions in the Traffic acquisition report. New values are assigned to session-scoped dimensions each time users return to your website or app. These dimensions always include the prefix "Session," as in the Session source dimension (which shows you the most common sources for new sessions). Session-scoped dimensions show you where both new and returning users are coming from when they start new sessions. If you were to change "Event count (All events)" to "Event count (add_to_cart)", then you would see the number of times new users, who arrived through an organic search, triggered the add_to_cart event in their first sessions. For example, if you see 757,949 in the Event count column and the organic row (see the following table), then the new users who arrived through an organic search triggered 757,949 events in their first sessions. When paired with a metric like Event count, the organic dimension value shows you the number of new users who landed on your website or app from an organic search (e.g., Google Search) and who triggered any event. If the First user source dimension has a dimension value of "organic," for example, it means that these are users who landed on your website or app for the first time through an organic search (e.g., through Google Search). Google Analytics surfaces information about user-scoped dimensions in the User acquisition report. The value assigned to each user-scoped dimension remains the same as users return to your website or app. These dimensions always include the prefix "First user," as in the First user source dimension (which shows you the most common sources for new users). User-scoped dimensions show you where your new users are coming from. Google Analytics organizes acquisition information into user, session, and event groups (or scopes) and adds prefixes to some dimensions so you can understand which groups the data applies to. To learn more about the reporting identity options in Google Analytics, see Reporting identity. If any of these identities are the same (e.g., the user has the same user ID across sessions), Google Analytics will identify the individual as the same user. Google Analytics identifies an individual user based on the reporting identity option you choose for your property and the user's browser or device settings.įor example, if you choose the blended reporting identity for your property, then Analytics will factor in the user ID, device ID, Google signals, and modeling to identify the user. Learn more about events How Google Analytics identifies a user You can mark the events that are most important to your business as conversion events. In the previous example, adding something to a shopping cart, leaving an ecommerce store, and purchasing something are all examples of interactions that you can measure using events. Learn more about sessionsĪn event is a distinct user interaction within a session. These separate visits are two separate sessions. The next day, they return to your website and purchase something. For example, someone visits your website, adds something to their shopping cart, and then leaves your website. Learn more about usersĪ session is the period from when a user visits your website or app to when they leave your website or app. If someone leaves your website and comes back later, for example, then Google Analytics still considers them to be one user. If two different people interact with your website, for example, then Google Analytics considers each person to be a separate user. Google Analytics organizes users, sessions, and events in the following hierarchy:Ī user is a person who interacts with your website or app.
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