Generally speaking, GA4 comes with a variety of parameters. This includes Automatically collected parameters, Custom parameters, Segmentation rules, and Data streams. You can choose suitable parameters to analyze the data you need depending on your needs.
Bounce rate
Although Google Analytics 4 is more action-oriented, it still has some crucial metrics. Specifically, the bounce rate is one of them. But, of course, whether it’s a good or lousy metric depends on your traffic type and the parameters used in tracking.
Google Analytics 4 has also introduced a new metric called Engagement Rate. This metric provides more detailed information about your users’ engagement with your website than the old bounce rate. However, it is still a reasonably new metric, and its definition may need to be clarified.
Similarly, the GA4 Total Users metric is also a new metric. It is similar to the Active Users metric but will differ depending on your platform.
The Total Events and the Event Count metrics have yet to be introduced, even though the bounce and engagement rates are two new metrics in GA4 FAQs. For instance, the bounce rate is not available in the Dashboard.
Segmentation rules
Using data segmentation to answer a variety of questions is possible using GA4. Segmentation is an advanced technique that allows you to apply rules to user data and create reports based on those rules. Data segmentation enables you to focus on specific users to optimize your advertising campaigns and target your audience precisely.
Segmentation rules can be used in almost any report. Depending on your needs, you can use segments to filter and display data based on predefined conditions or create custom segments. You can apply up to four components to one report. You can also use elements in the Funnel report to show users failing to complete their checkout process.
Segmentation rules in GA4 are retroactive and will show filtered data from previous periods. Segmentation rules in GA4 are applied to exploration reports and custom reports.
Automatically collected parameters
Creating and sending custom measurement events in Google Analytics 4 requires understanding the parameters. Google has created a recommended list of event names and parameters. However, editing the event names or naming conventions may be necessary. This will not impact historical data.
Google Analytics 4 allows users to create up to 50 custom measurement events. These events can be set to measure a conversion goal. These events do not show up in the Explore section. Instead, they can be viewed in the Events report. You can also edit existing events.
Google Analytics 4 is more flexible than before. Events can be tracked for any website activity. In addition, they can be based on custom dimensions or User Properties. This provides more data control. However, it requires more time to set up.
Custom parameters
Creating custom parameters in GA4 is a relatively straightforward process. However, consult Google’s documentation before diving into the process if you need to familiarize yourself with the concept.
A custom parameter is a text-based attribute that helps to describe an event. They can be user-scoped, product-scoped, or event-scoped. You can have up to 25 custom dimensions per event.
You can use custom parameters in Google Analytics 4 to add additional information to your website’s events. For example, you can measure the number of phone calls your website generates. In GA3, you could send this information with the Universal Analytics event. However, in GA4, this functionality has been replaced by custom dimensions.
These features are very useful in helping you make better business decisions. Custom dimensions also provide granularity and context to your data.
Data streams
A clear idea of the parameters in Google Analytics 4 (GA4) is vital for understanding its functionality. It is easier to use than the previous analytics tool version, but it has some changes.
One of the critical differences between GA4 and the previous version is how the data is presented. The new interface uses a data stream rather than views. It also uses an event-driven data model.
Data streams represent the flow of data from your website to GA. You can create up to 30 data streams for your website or app and up to 50 for your property. These streams can be used to define segmentation rules. Data streams can be called programmatically on your website or app, or you can use GA Tag Manager to set up triggering rules.
