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Are you ready for Google Analytics 4 (GA4)?

Updated: Oct 4, 2022

Simply Smart Suggestions | Volume 4

The Monthly Newsletter from Charter Connect

I. National Charter Schools Conference 2022

Washington, D.C.

Charter Connect
Dallan Wortham heading to NCSC 2022.

Dallan Wortham (Marketing Director) and Shawn Wortham (Experience Director) had a fantastic experience at NCSC 2022.

They can't wait to go again next year!

II. Google Analytics is Getting an Update

Have you heard chatter about an upgrade for Google Analytics? Google Analytics 4 (GA4) launched in October 2020 and is available now to use in place of Universal analytics (previous version of Google Analytics). While Universal Analytics (UA) is still available to use, data from UA will no longer be available starting July 1, 2023. The sooner you can make the switch to GA4, the better!

III. The Differences

While GA4 and Universal Analytics still track the same kind of data, the main differences are the manner that the data are measured and analyzed. The new data model, metrics, and filters will be the main focus of this article.

IV. Metrics

One major change to metrics in Google Analytics 4 is bounce rate. Bounce rate is the percentage of website visitors that leave your site after only visiting one page. While this information is still collected, it's not known as bounce rate anymore. Instead, it will be part of the new User Engagement metrics.

Google defines engagement as one of the following:

(1) A user spends >10 seconds on a site

(2) A user has visited 2 or more pages

(3) A successful user event has occurred

Engagement rate is the percentage of engaged sessions on a site.

User Engagement metrics also include:

  • Engagement Rate

  • Engagement Sessions

  • Engagement Sessions per User

  • Average Engagement Time

V. Analysis Hub

There are several new analysis techniques in Google Analytics 4 that will take your data analysis to the next level. Exploration features allow you to visualize your data with Metrics and Dimensions. Cohort analysis allows you to compare users in groups while path analysis allows you to visualize the paths users take to the website.

VI. Data Model

In UA, data was based on goals, conversions, and other tracking data. Now, the model categorizes these metrics under the umbrella of Events. You can choose which Events to track to customize your data analysis to your specific goals.


For More Info

We hope you found this article informative and useful as you continue to explore the capabilities of Google Analytics 4. For more information, please refer to Google Analytics Help.

Information from this article is from Google and Optizent.

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