Website data is constantly changing, and Google Analytics is no exception. In October, Google introduced Google Analytics 4, previously known as App + Web.
Google Analytics 4 is an analytics tool offering more innovative insights to enhance ROI. This release is significant as it aligns with the shift towards a cookie-less world in digital marketing.
The initial step in using Google Analytics 4 is setting up your data stream. In the admin section of Universal Google Analytics, there is an option to upgrade a property.
To proceed with the upgrade, you must be using the Gtag installation for GA. As a result of the promotion, a new tracking property starting with G- will be generated.
Once you have created the property in Google Analytics 4, the next step is establishing a data stream. If you are monitoring both website and app traffic, you can add both data streams to a single report.
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However, if you are exclusively using Google Analytics for a website, you only need to set up a website data stream. Google Analytics 4 (GA4) comes with default measurements for various user interactions on your website.
These default measurements include page views, scrolls, outbound clicks, site search, video engagement, and file downloads. After creating a data stream in GA4, Google will provide you with the complete G property and code that needs to be installed on your website.
When accessing the events menu in Google Analytics 4, you will see the standard events that come pre-defined with the platform. Additionally, buttons at the top of the screen enable you to modify an existing event or create a new one.
The menu provides convenient sliders that can be used to designate any event as a tracked conversion. While user clicks on your website are significant, not all clicks should be considered conversions.
Modifying events in Google Analytics 4 allows you to customize and specify which clicks should be counted as conversions. By setting up new events, you can ensure that only specific clicks are tracked and counted as conversions in your analytics data.