- On the one hand, it will provide us with new knowledge and predictions based on artificial intelligence. While knowledge – based machine learning Analytics have been available for some time, new knowledge and predictions that reach Google Analytics 4 can automatically alert the marketers of some trends, such as growing demand of a product. It will also be used to predict results such as churn rates and potential revenue a business could earn from a specific customer segment. All this information can help us anticipate the actions that our clients could take in the future and thus focus on higher value audiences.
- Improved integration with Google Ads. Now we can generate and maintain audiences of our users on the web and in the application. For example, if a user is qualified for an audience list due to an action performed on the web and was removed from a list because they made an in-app purchase, the list would automatically update to remove the user and not be impacted. with ads. In addition, Google Analytics 4 will report on the actions of the YouTube involved views that occur both in the application and on the web.
- One of the most notable differences between Analytics 4 and Universal Analytics is the organization of the reports based on the customer lifecycle. These reports will help us delve into specific aspects of the customer journey. For example, we can see which channels are generating new customers in the user acquisition report, and then use the engagement and retention reports to understand the actions these same customers take and whether or not they stay after conversion. The new Analytics experience also aims to offer us a more complete view of how customers interact with your business across devices and channels. We can also provide your own user ID or enable Google signals to deduplicate users across devices, both in reporting and ad targeting.
- Another benefit is event tracking without code implementation. This makes it easier for us to monitor and measure the actions that are important on the site and in the app, and also in real time (in Universal Analytics, events usually arrive with some latency). For example, we can measure a scroll event or the playback of a video, without having to add code or configure event tracking in GTM.
- We are also going to have a more specific user data control. Analytics 4 also includes options to help advertisers comply with data regulations like GDPR and CCPA. The consent mode is designed for sites that must have end-user consent to collect analytics data, and this new mode provides us with separate consent options for analytics and for ads. Data deletion options have also been improved, allowing companies to fulfill user deletion requests without having to delete more data than is necessary. In addition, it includes a preview mode so that companies can verify the data they are about to delete.
- How will it affect our analytics in the future without cookies? Well, as third-party cookies are removed , Google already anticipates that data scarcity will become the new norm. It will rely on machine learning to repopulate data gaps.
In conclusion, the new property of Google Analytics 4 provides a more complete cross-channel view of the customer life cycle and uses that information with predictive marketing functions, providing us with more information, and more efficient ways to act based on those discoveries. Our recommendation is that when you have to configure a new property, do so with this new version. The previous one, Universal Analytics, will continue to be available but we recommend activating GA4, since it will be the focus of improvements and news within Google, and keep both measurements in parallel. From Making Science we can help you get it started! You dare? Ask for information at firstname.lastname@example.org.