Google Analytics 4 is the latest version of the most popular analytics program on the market. It is packed with new features that make it easier than ever to understand your data and optimize your website.
Predictive analytics
Predictive analytics in Google Analytics 4 is a new feature that allows you to predict future customer behaviour. This type of analysis uses data science and machine learning to learn how your users behave. These insights can help you optimize your marketing efforts.
You can use predictive analytics to identify customers who are likely to make a purchase in the next seven days. It also helps you determine which marketing channels to use. The results can be shared with stakeholders via a data dashboard.
Google Analytics 4 has improved trendspotting and data visualisation. The new platform uses a combination of web and app behavioural tracking. Users are identified by geography and intent. They can be added to audience lists.
Google Analytics 4 also offers predictive metrics. This new feature isn’t added by default. To get it, you must meet certain requirements.
Data Streams
Data streams in Google Analytics 4 are new features that can be used to collect user data from multiple sources. These streams allow you to see user behaviour from your website, your app, and other sources. They help you compare the actions of users on different platforms. The streams include video plays, outbound link clicks, page views, and site searches.
Before you can start to use data streams, you have to know what they are and how they work. If you don’t, you may not get the most from your Google Analytics experience. Thankfully, GA4 has made the process of collecting and analyzing data streams a breeze. You can create up to three different types of data streams on your property.
In addition, you can add enhanced measurements to your data stream. These measures are pre-selected and will provide actionable information for you to use on your website.
Grouping users into audiences
Google Analytics 4 introduces a new interface and a new data model. It also includes a feature called Segments. This allows you to group your users into different categories. As a result, you can analyze your data and determine which groups are worth promoting.
The first step to creating an audience is to log into your Google account. Then, go to the Audience Manager. Click on the “Audiences” tab to see a new banner and get more detailed information.
You can then edit your audience. Editing includes adding and removing users and archiving and duplicating the same audience. Additionally, you can add an audience trigger. An audience trigger is a sequence of events that can be triggered when certain users become members or reach certain milestones.
For example, if you are remarketing your site, you can set an audience to include those who have added a product to their cart. If a visitor to your site doesn’t take action, your remarketing audience is not worth much.
Monetisation reports
The monetisation reports in Google Analytics 4 are a great way to learn about your users. These reports are designed to show you which marketing channels are best suited for your business. They also help you understand how to acquire new users and retain existing ones. Moreover, it is one of the most convenient ways to see the revenue you generate from your website or mobile app.
Aside from the usual suspects, like ad revenue, you can get a better sense of how you should spend your marketing budget. For example, you can look at the acquisition, retention, and engagement data for users. You can also find out how many of them return to your site or mobile app, and you can analyze the data by cohort.
Reporting vs GA3
If you’re thinking about upgrading your Google Analytics, you may have noticed that there is a significant difference between GA3 and GA4. This new version offers better reporting, deeper data analysis, and more advanced configuration options. However, it is also much more complicated.
The measurement model in GA4 centres around events, while the GA3 model uses sessions. The former is more precise when measuring conversion funnels and user engagement. It also has a more consistent metric set and data model. In GA4, you can create custom metrics. However, they are created differently. They are provided by user properties, logged event parameters, and user actions.
While the GA3 data model has a lot of pre-defined features, the GA4 event-based model has a few more built-in. For example, ecommerce reports have less depth than Universal Analytics.
Further Information
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