It’s been a long time coming, but Google Analytics 4 is finally here.

The amount of new functionality included in this overhaul is pretty overwhelming, so we have detailed guides for what to do next.

To start off with, you need to decide whether or not you want to keep using your existing Google Analytics setup or migrate everything over to the new Content Experiments interface. Once that is determined, it’s time to create a Google Tag Manager container and make your initial changes in the Google Analytics dashboard. Setting up the Google Analytics tracking system is a simple process that takes between 30 and 45 minutes to complete.

Once you finish creating your Google Analytics property, you’ll be able to set up goals, add multiple browsers to your reports and get accurate data. In Google Analytics 4, you can also create and edit segments. Segments allow you to analyze data that is not collected by default.
For example, if your organization has regional offices, you might want to create separate accounts for each regional office. However, because these regional accounts are different, they send different URL structures and even use different Uniform Resource Locators – URL.

You can use the Webstream editor to specify how events and data from a property flow into another property. Data streams are the foundation of the Google Analytics 4 application. It is the job of data streams to couple your scripts, processes, and cookies with Analytics itself. They send your code’s output to Analytics for processing, where it’s stored alongside standard session data.

Generally each new script you add will create a new data stream. Webstreams are particularly useful in that they can have multiple types of event data associated with them. A webstream can be created in two ways: 1. by using the Data Flow Paths and 2. by creating a data retrieve script. Use this route if you’re more familiar with JavaScript, or if you have a page-filtering script already written. The second option involves navigating to the Data – New Stream -new data stream and creating the stream through stream configuration. This route is useful for non-developers who are looking for more options and don’t need as much customizability from the stream.

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