What is Google Analytics?<\/b><\/span><\/h1>\nTo put it in a nutshell, Google Analytics<\/b> is a free software capable of collecting and analyzing detailed statistics on visitors to a website and the actions they perform, but also data relating to traffic sources, the device, the operating system and the browser used.<\/p>\n
Google Analytics 4<\/b> was born as a substitute for Universal Analytics<\/i> (the previous version of the software) and is based on the app-web beta version of 2019, which was intended to merge the tracking data between web and mobile app, previously managed separately.<\/p>\n
It is a radical renewal compared to previous versions and, starting from the name, (almost) everything changes. Google Analytics 4<\/b> therefore, it changes skin compared to its predecessor and is now a more difficult tool to use, especially for users with little experience, but more reliable and "intelligent".<\/p>\nHow has Google Analytics changed? All the news<\/b><\/span><\/h1>\nThe idea behind this new tool is to provide users with the ability to make any web analytic<\/b> in a personalized way, depending on the model and business objectives of your company.<\/p>\n
To do this Google<\/b> has revolutionized the logic behind the data structure and their management, has changed the graphic interface and has chosen an approach strongly oriented towards machine-learning<\/b>.<\/p>\n
But let's go in order.<\/p>\n
Interface<\/b><\/h4>\n
The first thing you notice when logging in is a simplified interface compared to Universal Analytics<\/i>. Attention, however, this simplification also derives from the fact that some reports in the UA are no longer shown, making reading the data more difficult and less immediate.<\/p>\n![\"Google](\"https:\/\/www.digife.it\/wp-content\/uploads\/2021\/06\/google_analytics_4_interfaccia-1024x465.png\")
<\/b><\/h4>\n
<\/p>\n
Events<\/b><\/h4>\n
However, the most significant change is the shift from a model based on the concept of session<\/i> (hit) to one based on the concept of event<\/b>. In fact, if previously UA monitored the user's interactions with a site in a given period, Analytics 4<\/b> turns every interaction into a event<\/b>. Clicking a link, downloading a document, playing a video, are just some examples of events that Google Analytics<\/b> allows you to analyze.<\/p>\n
To better understand these changes, this table shows the differences between UA and GA4<\/strong>:<\/p>\n![\"Google](\"https:\/\/www.digife.it\/wp-content\/uploads\/2021\/06\/google_analytics_4_eventi.png\")
<\/p>\n
The events of Google Analytics 4<\/b> they are divided into 4 types:<\/p>\n\n- the automatically collected events<\/i>, events collected automatically by GA4 such as the start of the session, the language and the place from which the user connects to the network; <\/li>\n
- the enhanced measurment events<\/i>, measurement events that need to be configured and activated. They are essential for keeping track of key events and can be customized according to the business model. Among the main examples we find download<\/i>, searches<\/i>, pageview<\/i> is scroll<\/i>; <\/li>\n
- the recommended events<\/i>, events that need to be triggered and that Google<\/b> recommend for a more accurate analysis. These include logins, shares and purchases; <\/li>\n
- the custom events<\/i>, events to be implemented but without predefined parameters and, therefore, completely at the discretion of the web analyst<\/b>.<\/li>\n<\/ul>\n
We will come back to talk about it later in more detail.<\/p>\n
Involvement<\/b><\/h4>\n
Each user interaction is therefore interpreted as an event in itself, which can involve different platforms and devices. Consequently the infamous Bounce Rate<\/i> (bounce rate) is eliminated in favor of a new concept: theEngaged Session<\/i> (involvement).<\/p>\n
The Bounce Rate<\/i> it indicated the percentage of sessions, for a single page, in which there was no interaction with the page itself. This parameter, in practice, showed how many users, after having opened a particular page, left it without performing other actions. L'Engaged Session<\/i>instead, it keeps track of all sessions with a duration greater than 10 seconds or with a number of pageviews of 2 or more pages.<\/p>\n
This change allows for a more precise analysis since, as has often been said, the Bounce Rate was a deceptive parameter: it is in fact possible that a user effects a visit to a page, finds what he was looking for, but "bounces" off it anyway. (just think of a news page that, once read, does not present other possible interactions).<\/p>\n
On the other hand, the new model based onEngaged Session<\/i> it is more flexible and provides a wide variety of useful information to monitor the user experience on your site.<\/p>\nMachine-learning<\/b><\/h4>\n
Recent restrictions on privacy and data processing have made it more difficult for AI (Artificial Intelligence) to track data. To overcome this problem Google<\/b> has implemented the system of machine-learning<\/b>, in order to provide insight (knowledge) predictive<\/b> on web user trends.<\/p>\nData Stream<\/b><\/h4>\n
![\"Google](\"https:\/\/www.digife.it\/wp-content\/uploads\/2021\/06\/google_analytics_4_datastream-1024x185.png\")
<\/p>\n
Another parameter that is eliminated is the one related to the views, in its place the Data Stream<\/i>. It allows you to manage data from multiple sources (web, app) and, thanks to data filter<\/i>, allows an in-depth analysis of the latter.<\/p>\nUpgrades and additions<\/b><\/h4>\n
Finally, the latest news concern the enhancement of some tools and integration with other software. Among the instruments that have undergone an upgrade we find the cross-domain<\/i>, the monitoring tools for eCommerce<\/i> and the DebugView<\/i>.<\/p>\n
Among the software that have undergone an enhanced integration, however, Google ADS stands out. By linking the account of Google ADS<\/b> to Analytics<\/b>in fact, it is possible to monitor user behavior towards your advertising campaign.<\/p>\n
How has Google Analytics changed? All the news<\/b><\/span><\/h1>\nThe idea behind this new tool is to provide users with the ability to make any web analytic<\/b> in a personalized way, depending on the model and business objectives of your company.<\/p>\n
To do this Google<\/b> has revolutionized the logic behind the data structure and their management, has changed the graphic interface and has chosen an approach strongly oriented towards machine-learning<\/b>.<\/p>\n
But let's go in order.<\/p>\n
Interface<\/b><\/h4>\n
The first thing you notice when logging in is a simplified interface compared to Universal Analytics<\/i>. Attention, however, this simplification also derives from the fact that some reports in the UA are no longer shown, making reading the data more difficult and less immediate.<\/p>\n<\/b><\/h4>\n
<\/p>\n
Events<\/b><\/h4>\n
However, the most significant change is the shift from a model based on the concept of session<\/i> (hit) to one based on the concept of event<\/b>. In fact, if previously UA monitored the user's interactions with a site in a given period, Analytics 4<\/b> turns every interaction into a event<\/b>. Clicking a link, downloading a document, playing a video, are just some examples of events that Google Analytics<\/b> allows you to analyze.<\/p>\n
To better understand these changes, this table shows the differences between UA and GA4<\/strong>:<\/p>\n<\/p>\n
The events of Google Analytics 4<\/b> they are divided into 4 types:<\/p>\n\n- the automatically collected events<\/i>, events collected automatically by GA4 such as the start of the session, the language and the place from which the user connects to the network; <\/li>\n
- the enhanced measurment events<\/i>, measurement events that need to be configured and activated. They are essential for keeping track of key events and can be customized according to the business model. Among the main examples we find download<\/i>, searches<\/i>, pageview<\/i> is scroll<\/i>; <\/li>\n
- the recommended events<\/i>, events that need to be triggered and that Google<\/b> recommend for a more accurate analysis. These include logins, shares and purchases; <\/li>\n
- the custom events<\/i>, events to be implemented but without predefined parameters and, therefore, completely at the discretion of the web analyst<\/b>.<\/li>\n<\/ul>\n
We will come back to talk about it later in more detail.<\/p>\n
Involvement<\/b><\/h4>\n
Each user interaction is therefore interpreted as an event in itself, which can involve different platforms and devices. Consequently the infamous Bounce Rate<\/i> (bounce rate) is eliminated in favor of a new concept: theEngaged Session<\/i> (involvement).<\/p>\n
The Bounce Rate<\/i> it indicated the percentage of sessions, for a single page, in which there was no interaction with the page itself. This parameter, in practice, showed how many users, after having opened a particular page, left it without performing other actions. L'Engaged Session<\/i>instead, it keeps track of all sessions with a duration greater than 10 seconds or with a number of pageviews of 2 or more pages.<\/p>\n
This change allows for a more precise analysis since, as has often been said, the Bounce Rate was a deceptive parameter: it is in fact possible that a user effects a visit to a page, finds what he was looking for, but "bounces" off it anyway. (just think of a news page that, once read, does not present other possible interactions).<\/p>\n
On the other hand, the new model based onEngaged Session<\/i> it is more flexible and provides a wide variety of useful information to monitor the user experience on your site.<\/p>\nMachine-learning<\/b><\/h4>\n
Recent restrictions on privacy and data processing have made it more difficult for AI (Artificial Intelligence) to track data. To overcome this problem Google<\/b> has implemented the system of machine-learning<\/b>, in order to provide insight (knowledge) predictive<\/b> on web user trends.<\/p>\nData Stream<\/b><\/h4>\n
<\/p>\n
Another parameter that is eliminated is the one related to the views, in its place the Data Stream<\/i>. It allows you to manage data from multiple sources (web, app) and, thanks to data filter<\/i>, allows an in-depth analysis of the latter.<\/p>\nUpgrades and additions<\/b><\/h4>\n
Finally, the latest news concern the enhancement of some tools and integration with other software. Among the instruments that have undergone an upgrade we find the cross-domain<\/i>, the monitoring tools for eCommerce<\/i> and the DebugView<\/i>.<\/p>\n
Among the software that have undergone an enhanced integration, however, Google ADS stands out. By linking the account of Google ADS<\/b> to Analytics<\/b>in fact, it is possible to monitor user behavior towards your advertising campaign.<\/p>\n
<\/b><\/h4>\n
<\/p>\n
The events of Google Analytics 4<\/b> they are divided into 4 types:<\/p>\n We will come back to talk about it later in more detail.<\/p>\n Each user interaction is therefore interpreted as an event in itself, which can involve different platforms and devices. Consequently the infamous Bounce Rate<\/i> (bounce rate) is eliminated in favor of a new concept: theEngaged Session<\/i> (involvement).<\/p>\n The Bounce Rate<\/i> it indicated the percentage of sessions, for a single page, in which there was no interaction with the page itself. This parameter, in practice, showed how many users, after having opened a particular page, left it without performing other actions. L'Engaged Session<\/i>instead, it keeps track of all sessions with a duration greater than 10 seconds or with a number of pageviews of 2 or more pages.<\/p>\n This change allows for a more precise analysis since, as has often been said, the Bounce Rate was a deceptive parameter: it is in fact possible that a user effects a visit to a page, finds what he was looking for, but "bounces" off it anyway. (just think of a news page that, once read, does not present other possible interactions).<\/p>\n On the other hand, the new model based onEngaged Session<\/i> it is more flexible and provides a wide variety of useful information to monitor the user experience on your site.<\/p>\n Recent restrictions on privacy and data processing have made it more difficult for AI (Artificial Intelligence) to track data. To overcome this problem Google<\/b> has implemented the system of machine-learning<\/b>, in order to provide insight (knowledge) predictive<\/b> on web user trends.<\/p>\n Another parameter that is eliminated is the one related to the views, in its place the Data Stream<\/i>. It allows you to manage data from multiple sources (web, app) and, thanks to data filter<\/i>, allows an in-depth analysis of the latter.<\/p>\n Finally, the latest news concern the enhancement of some tools and integration with other software. Among the instruments that have undergone an upgrade we find the cross-domain<\/i>, the monitoring tools for eCommerce<\/i> and the DebugView<\/i>.<\/p>\n Among the software that have undergone an enhanced integration, however, Google ADS stands out. By linking the account of Google ADS<\/b> to Analytics<\/b>in fact, it is possible to monitor user behavior towards your advertising campaign.<\/p>\n\n
Involvement<\/b><\/h4>\n
Machine-learning<\/b><\/h4>\n
Data Stream<\/b><\/h4>\n
<\/p>\nUpgrades and additions<\/b><\/h4>\n
![\"Google](\"https:\/\/www.digife.it\/wp-content\/uploads\/2021\/06\/google_analytics_4_nuova_proprieta.png\")
<\/p>\n![\"Google](\"https:\/\/www.digife.it\/wp-content\/uploads\/2021\/06\/google_analytics_4_misurazione_avanzata-1024x288.png\")
<\/p>\n![\"Google](\"https:\/\/www.digife.it\/wp-content\/uploads\/2021\/06\/google_analytics_4_nuovo_evento-1024x419.png\")
<\/p>\n![\"Google](\"https:\/\/www.digife.it\/wp-content\/uploads\/2021\/06\/google_analytics_4_config.png\")
<\/p>\n