Several months have passed since the release of Google’s GA4 however, there are different questions coming up relating to the plenty of confusion remarking the differences between the older rendition of Universal Analytics and the latest version of GA4. In this article, we will look deeper into the relevant differences between Universal Analytics and Google Analytics 4 guide data or GA4. If you are not well-acquainted with the various analytical aspects of Google, then this article will acknowledge laying before the in-depth analysis of Google Analytics. We can take a deeper look into the distinct features that make them different from each other. 

We will delve deeper into the main fundamentals and features of Universal Analytics vs. Google Analytics 4 data and the two platforms which make them unique and important to Google’s pattern of understanding searches.

Let's take a look at the difference between Google Analytics GA4 and older versions of Universal Analytics below in this context.

Unveiling The Differences Between Google Analytics GA4 Vs. Universal Analytics 

Elimination of Monthly LImits

One of the relevant differences between Google Analytics GA4 and older versions of Universal Analytics is the elimination of monthly hit limits. The free rendition of Universal Analytics had a limit of 10 m hits. Many clients are getting problems collecting all data that they required at the time of staying within the limit. Universal analytics ‘ limit glitches were evinced by several sections of individuals in different verticals of the industry.

Contrarily, GA4 has a complete limit on the number of distinct events that can be easily kept. There isn’t any limit on the volume of hits that can be easily collected which has resulted in a huge number of clients already opting for GA4's first approach to their analytics. 

Distinct Measuring Models

The largest difference between GA4 and Universal Analytics is that the measurement model can be considered for utilization. Universal Analytics uses a measurement model depending on page views and sessions. In order to understand the implications of sessions, you need to consider acknowledging their ultimate meaning of them.

Sessions are regarded as a group of user interactions or hits with a website that takes place over a certain timeframe. A session comprises distinct page views, ecommerce transactions and events. On the other hand, Google Analytics 4 utilizes a measurement model depending on parameters and events. The principle that is depicted here is interactions are captured as events. Therefore, the hits in Universal Analytics get converted into events in GA4.

The primordial renditions of GA have events in the form of category, label or action. However, this is not the scene with GA4 that has no category, label or action. Every hit is considered as an event and events, in turn, contain parameters. For instance, an event named page_view is present in GA4 which, in turn, contains parameters named page_location, page _title and so forth.

Let’s take a glance at how the events in GA4 are grouped into four different categories. 

Measurement events are enhanced

These are automatically collected beside the base code however, you can be enabled or disabled based on the website functionality. The events comprise outbound clicks, a website search, scrolls, and video engagement. 

Events collected automatically

As you install the GA4 base code, events get automatically tracked in it. These comprise events like first_visit, page_view and session_start.

Recommended Events

Events that are recommended by Google are known as recommended events that have been split into distinct industry types. Recommended events from Google are often depicted as wide recommendations and often termed as eCommerce recommended events.

Custom Events

Custom events majorly refer to events and parameters that one can create as well as implement depending on website requirements.

Having Flexible & Free Connection to BigQuery

One of the relevant differences between GA4 and Universal analytics is that GA4 has a flexible and free connection to BigQuery. Beforehand this feature was available to GA360 clients. BigQuery helps in querying large sets of data seamlessly. Creating complex segments querying in GA is the ultimate concern of analyzing data. BigQuery helps to take the data out of GA and resolves the problem of sampling.

Custom Metrics/Dimensions

In Universal analytics custom metrics and dimensions are used to add information to collected data. In Google analytics 4 event parameters effectively serve this purpose. In GA4, events, event parameters and user properties are based on limits.

User ID

User ID has the sole purpose in both Universal Analytics and Google analytics 4, that is, for providing an identity for users to analyze the data. From the perspective of data, in a Universal Analytics property, there is no requirement for mapping user IDs.

IN GA4 user ID depicts a cross-platform and cross-device view of the way users interact with your app and website. In order to use this characteristic, you need to generate your own unique IDs and assign them to users. This will comprise the IDS along with the data that you have submitted to analytics.

Contrary to Universal Analytics, a GA4 property includes User ID natively across all analysis and insights. It does not need a separate User ID view.

Content grouping

Content grouping in Universal Analytics enables one to group contents into a logical structure and subsequently view comparing metrics by group name. As for instance, GA4 properties have one predefined event parameter for the content group that creates data into the “Content Group” dimension. 

Final Thought

If you are looking forward to having critical insights about Universal Analytics and Google Analytics 4, then this blog will be helpful to you. As the leading digital marketing company, Blinkbee delineates the various differences between them to make comprehend them totally prior to switching them before. If you are having further questions relating to GA 4 or Universal Analytics, then feel free to consult with our professionals who have many years of experience in analyzing web analytical tools.




Views : 163 | Posted on May 18, 2022