Learn moreīecause BigQuery doesn't apply the more efficient calculation method, you may notice small differences in session counts when comparing the results to those in your standard and custom reports and in Explorations and Looker Studio. BigQuery has enough time and resources to calculate the precise number of sessions and therefore doesn't apply the efficient calculation method (called the HyperLogLog++ algorithm) for session metrics. In addition to being able to view session counts in Google Analytics, you can export your data to BigQuery so you can query your session counts through a SQL-like syntax. However, you can still access historical data in your event report by filtering for event=session_start. Analytics will not display data if the date range for your report includes data from before October 2021. This new calculation method is applied to session data back through October 2021. As a result, you may notice a small difference in session counts from the previous calculation method. Differences in session countsĪs of October 2021, Google Analytics began updating the calculation method for session metrics in your standard and custom reports and in Explorations and Looker Studio to more efficiently count sessions with high accuracy and low error rate. You can also see session metrics in Explorations. The metrics appear in reports, such as Acquisition overview, User acquisition, and Engagement overview. These metrics allow you to see data about the number of sessions that have started on your site or app. ![]() Google Analytics provides a number of session metrics, including Session, Engaged sessions, and Engaged sessions per user. Session and User metrics are calculated through an estimation. How the number of sessions is calculatedĪnalytics calculates the number of sessions that occur on your site or app by estimating the number of unique session IDs. ![]() ![]() In these cases, Analytics still generates a session ID. Sometimes the session ID is not associated with the session_start event (e.g., when the event is filtered out from a subproperty). However, the identifier is not included automatically in events from Measurement Protocol or Data Import. Session number identifies the number of sessions that a user has started up to the current session (e.g., a user's third or fifth session on your site).īoth the session ID and session number are associated with each event in a session automatically via gtag.js and the Google Analytics for Firebase SDK.To analyze different sessions outside of Google Analytics, consider joining the user_id or user_pseudo_id with the session_id to get a unique identifier for each session. Session ID is a timestamp of when a session began. ![]() When a session starts, Google automatically collects a session_start event and generates a session ID ( ga_session_id) and session number ( ga_session_number) via the session_start event. How events are associated with a session ID and number
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