Join Brad Batesole for an in-depth discussion in this video How does Google Analytics work?, part of Google Analytics Essential Training.
All of this information is then pushed to Google Analytic servers to await processing. Google looks at each piece of data as an interaction or a hit, and every time your user visits a new page on your site, the code collects and sends new or updated information about the user's activity. And now that Google has all of this information, they'll start processing it, and this can take anywhere from four to twenty-four hours. You can think of processing as the step that takes all of this raw information and turns it into something useful.
From there, Google will organize the information. It's going to categorize users by whether they're new or returning, it'll determine their length of the stay on the site, and it'll even link together all the pages they viewed in the order they view them in. It's also at this stage that Google applies any configuration settings you've preset for that raw data, and we're going to talk more on those later, but an example of this would be if you want to exclude, say, yourself, or your office from appearing in your reports. Once your data is then processed, it's going to be stored in a database.
From here, the last element is reporting, and this is what we'll be spending the majority of this course looking at. You're going to be accessing reporting through the Google Analytics web interface, and it's there that you can interact with all of your data. Now, it is possible to grab the data using Google's API, but we're not going to be covering that in this course. Now, there's a lot more that does go on under the hood to make Google Analytic's possible. If you're really curious, you can explore Google's documentation in the Google Developer Guidelines.
It's dense reading, but it does give you an even closer look at how all of these elements work together.
- Creating a Google Analytics account
- Installing tracking tags
- Reading the dashboard, graphs, and data tables
- Setting up report filters
- Looking at audience demographics and interests
- Tracking engagement with behavior reports
- Exploring traffic with acquisition reports
- Viewing shared content and referrals with social reports
- Reviewing SEO feedback
- Tracking events
- Configuring conversion goals
- Adding custom campaign tracking