Google Analytics is a popular web analytics service that provides website owners with a wealth of information about their visitors. In October 2020, Google announced the release of its latest version of the platform, Google Analytics 4 (GA4), which is a major upgrade from the previous version. This new update promises to provide website owners with more comprehensive insights into user behavior, including those from across different devices and platforms.
In this blog post, we will explore what Google Analytics 4 is, why it matters, and how it differs from the previous version of the platform.
What is Google Analytics 4?
Google Analytics 4 is a new version of the popular web analytics service that aims to provide a more comprehensive and accurate understanding of user behavior across multiple devices and platforms. This new version of the platform is designed to help businesses better understand the customer journey and how users interact with their website or app.
One of the key differences between Google Analytics 4 and its predecessor is that GA4 is more focused on user-centric measurement. This means that the platform is designed to provide insights into how individual users engage with your website or app over time, rather than just providing aggregated data on overall site performance.
GA4 also includes a range of new features and capabilities, including improved data privacy controls, cross-device tracking, and machine learning-powered insights.
Why does Google Analytics 4 matter?
Google Analytics 4 matters because it provides website owners with a more comprehensive and accurate understanding of user behavior. With the rise of mobile devices and the increasing use of multiple devices by consumers, it has become increasingly difficult to track user behavior across different platforms and devices. GA4 aims to address this issue by providing more comprehensive and accurate insights into user behavior across multiple devices and platforms.
Another reason why GA4 matters is that it offers improved data privacy controls. With the growing concern over data privacy, businesses need to ensure that they are collecting and processing user data in a transparent and responsible manner. GA4 includes new data controls that give users more control over their data and make it easier for businesses to comply with data privacy regulations.
Finally, GA4 matters because it includes a range of new features and capabilities that can help businesses make more informed decisions about their online marketing strategies. The platform includes machine learning-powered insights that can help businesses identify trends and patterns in user behavior, as well as cross-device tracking that allows businesses to better understand how users engage with their website or app across different devices.
How does Google Analytics 4 differ from the previous version?
Google Analytics 4 differs from the previous version of the platform in several ways. Some of the key differences include:
1. User-centric measurement
As mentioned earlier, GA4 is more focused on user-centric measurement, which means that the platform provides insights into how individual users interact with your website or app over time. This is a departure from the previous version of Google Analytics, which focused more on overall site performance metrics.
2. Improved data privacy controls
GA4 includes new data privacy controls that give users more control over their data and make it easier for businesses to comply with data privacy regulations. For example, GA4 includes a new feature called “Consent Mode,” which allows businesses to adjust the way they collect and process user data based on the user’s consent preferences.
3. Cross-device tracking
One of the biggest challenges with web analytics is tracking user behavior across multiple devices. GA4 includes cross-device tracking capabilities that allow businesses to better understand how users engage with their website or app across different devices.
4. Machine learning-powered insights
GA4 includes machine learning-powered insights that can help businesses identify trends and patterns in user behavior. For example, the platform includes a feature called “Predictive Audiences,” which uses machine learning to identify users who are most likely to take an action.
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