An excellent tool for getting valuable information about your online platforms is Google Analytics. Getting hands-on with Google Analytics takes time due to all the changes and updates it undergoes. In addition to providing better customer service and improving SEO services, it will be worth your efforts and time. Configuring your business goals and conversion tracking with Google Analytics 4 will be easy. This will help you discover how your website is performing towards achieving your goals.
Google Analytics GA4 includes the following Data Elements
User interactions include actions taken by the user, page views, and clicks. Many events are measured by default in the on-site Analytics tracking code, so custom code is not necessary.
- Various parameters
The events are described along with some additional information. Examples might include where, how, and why these events are recorded.
- Proprietary Information
This is the user's demographic information and attributes.
Users are assigned this to track activities across platforms.
What is Universal Analytics Property (UA Property)?
Data is collected and organized according to rules in this version of Google Analytics. Users can now track their behavior with Universal Analytics.
To understand Universal Analytics Property, let's examine some of its essential elements:
- User ID
Using this, businesses can assess all user activities across multiple devices and browsers, enabling them to assess data effectively.
- Tracking Code
Users interact with it via different codes, and mobile tracking and the collection of data from various devices are also included.
- Offline Data
Using this protocol, outside sources can be tracked and the point-of-sale transactions can be identified.
Models of Measurement
There are several differences between Universal Analytics and GA4. Measurement models are the most significant. Session and pageview measurements are the primary components of Universal Analytics.
An interaction (hit) on a website occurs multiple times over a short period, known as a session. Pageviews, eCommerce transactions, and events are examples of interactions.
A Google Analytics measurement model, however, uses events and parameters. Each time a user interacts with a website, Google Analytics 4 records it as an event. Consequently, all Universal Analytics hit types have been converted to GA4 events.
One confusing aspect of Universal Analytics (and all previous versions of GA) is the fact that events have a category, action, and label, and are treated as hits. GA4 has no categories, actions, or labels. Each hit is a parameter, and all parameters can be in any event.
- The events which are automatically collected
After installation of the base code, you will be able to track all the GA4 events.
- Measurement enhancement events
The base code is also collected automatically, but the website functionality can enable or disable it. Scrolling, clicking outbound links, searching the website, and watching videos are some of the events.
- The following events are recommended
We have listed the events Google recommends you create and divided them into different industry categories. Other than the eCommerce recommended events, Google's recommendations seem to be unbiased generalizations without regard to naming conventions
- Event customization
You can create and implement these events and parameters depending on the requirements of your website.
Abolition of the Monthly Hit Limit
In addition to the removal of monthly hit limits, Universal Analytics also differs significantly from GA4. With Universal Analytics free, 10 million hits could be tracked per month. Those days are over.
The limitation of GA4 is how many events can be captured simultaneously. There is no restriction on how many hits may be collected as of the writing of this article. Clients have already switched to GA4-first analytical practices as a result.
BigQuery is Available for Free
GA360 customers had access to this feature previously (and it was one of the distinguishing features between the free and paid versions).
Data queries can be performed very quickly using BigQuery, which allows very large and complex datasets to be queried. Any GA user who has tried creating complex segments will be aware of the effect that sampling can have on analyzing data.
A Final Thought
Universal Analytics and Google Analytics 4 (GA4) differ greatly in functionality. In addition, before considering switching, you must understand these concepts (plus, we recommend creating a new site along with Universal Analytics).
We would be happy to answer any questions you may have regarding GA4 and Universal Analytics. Feel free to contact Cefnogi Solutions for further questions.