Tracking & reporting terms
These terms will commonly show up as you use GA4 on a daily basis:
- Average Engagement Time — The average amount of time that an engaged user spent on your website. Specifically, the user engagement metric is defined as the length of time that your website was in the foreground for a particular session.
- Conversions — The number of times users triggered an event defined as a conversion in the property’s GA4 settings. Common conversion events are form sign-ups or clicks on a phone number.
- Default Channel Grouping — Rule-based definitions of website traffic sources, such as Organic Search, Email, and Referral.
- Engaged Sessions — A session that lasted 10 seconds or longer, had 1 or more conversion event, or had 2 or more page or screen views. Note that you can change the definition of an engaged session in the GA4 settings to increase the time frame before a session becomes “engaged.”
- Events — Events are recorded when a user performs a specific action on the website (such as starting a session, viewing a page, or clicking a link).
- Sessions — A session occurs when a new unique session ID is created for a user and GA4 begins to track events against that ID. A session will end when there has been more than 30 minutes of activity or when a user leaves your website.
- Source / Medium — A definition of the type of traffic you receive from each Default Channel Grouping, such as “Google / Organic.”
- Users — In GA4 there are three User metrics: Total Users, Active Users, and New Users. Active users is the number of distinct users who visited and engaged with the website (i.e. engaged sessions). New users are Active Users with 0 previous sessions. Total users is all users (including non-engaged sessions).
- Views — The number of web pages your users saw (including repeat views of a single web page).
Now that you understand what you’re looking at, you’ll be able to more effectively navigate Google Analytics for meaningful insights.
We’ve tried to cover the primary terms you’ll encounter using Google Analytics and, hopefully, this glossary will help you make sense of your metrics a little better.