All of this information is then pushed to Google Analytics 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 24 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've viewed in the order they viewed them in. It's also at this stage that Google applies any configuration settings you've pre-set 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 you 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 Analytics 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.
In this course, Brad Batesole explains how to get set up in Google Analytics and glean insights from each of the reports. He covers the out-of-the-box functionality—from account creation to reporting fundamentals—and explains how to interpret your results, create and track goals, and use options like dimensions and segments for deeper insights. Each tutorial is practical and succinct, touching on the features you'll use most in your day-to-day analytics workflow.
- Setting up an account
- Installing tracking tags
- Understanding reports
- Using the data table
- Using annotations
- Utilizing segmentation for deeper analysis
- Viewing shared content and referrals with social reports
- Tracking engagement with behavior reports
- Using Site Content reports
- Reviewing site speed
- Adding custom campaign tracking