Jump to HeaderJump to Main ContentJump to Footer
Michigan State University
Michigan State University
Digital Experience Studio

University Communications and Marketing

Digital Experience Studio

  • Experience Program
    • Website Project Process
    • Working with a Vendor
    • Glossary
    • Taxonomy Data Dictionary
  • |
  • Experience Design
    • Website Strategy
    • Website Structure
    • Information Architecture and Navigation
    • User-Centered Design Conventions
    • Common UX Issues
    • Enterprise Design System
    • Content Planning
    • Creating Accessible Content
    • Taxonomy and Filters
  • |
  • Website Technology
    • Web Standards
    • Search Engine Optimization
    • Cascade CMS
    • Sitecore CMS
    • Content Hub Overview
    • Content Hub DAM
    • Content Hub Operations

    SitecoreAI

    Sitecore user login
  • |
  • Social Media
    • Alt Text Bookmarklet
    • Meta Ad Pixel
    • Social Media and Web Integration
    • Sprinklr

    Sprinklr

    Sprinklr user login
  • |
  • Analytics
    • Google Analytics (GA4)
    • Testing
    • Data Visualization

    Google Analytics

    Google Analytics user login
  • |
  • News and Events
    • News and Updates
    • Events and Trainings
Digital Experience Studio

University Communications and Marketing

  • Experience Program
  • Experience Design
  • Website Technology
  • Social Media
  • Analytics
  • News and Events

< Experience Program

  • Website Project Process
  • Working with a Vendor
  • Glossary
  • Taxonomy Data Dictionary

< Experience Design

  • Website Strategy
  • Website Structure
  • Information Architecture and Navigation
  • User-Centered Design Conventions
  • Common UX Issues
  • Enterprise Design System
  • Content Planning
  • Creating Accessible Content
  • Taxonomy and Filters

< Website Technology

  • Web Standards
  • Search Engine Optimization
  • Cascade CMS
  • Sitecore CMS
  • Content Hub Overview
  • Content Hub DAM
  • Content Hub Operations

SitecoreAI

Sitecore user login

< Social Media

  • Alt Text Bookmarklet
  • Meta Ad Pixel
  • Social Media and Web Integration
  • Sprinklr

Sprinklr

Sprinklr user login

< Analytics

  • Google Analytics (GA4)
  • Testing
  • Data Visualization

Google Analytics

Google Analytics user login

< News and Events

  • News and Updates
  • Events and Trainings
Digital Experience Studio > Analytics >

Google Analytics

Michigan State University

MSU Tools and Resources

  • A to Z Index
  • Find People
  • Email
  • Tech Support
  • Social Media Directory

Communications Resources

  • University Communications and Marketing
  • University Trademarks and Licensing
  • MSU Brand Studio
  • MSU Editorial Style Guide
  • MSU Photos

Contact us

517-355-7505

Address

Michigan State University 408 West Circle Drive East Lansing, MI 48824

Follow Us

  • Visit our Facebook page
  • Visit our page on X
  • Visit our Instagram page
  • Visit our LinkedIn page
  • Visit our YouTube page
  • Visit our TikTok page

If you're having accessibility issues, please let us know.

Know MoreTransparency Reporting: Budget & Salary/Compensation
Michigan State University
  • Contact Information|
  • Site Map|
  • Privacy Statement|
  • Site Accessibility|
  • Call MSU: (517) 355-1855|
  • Visit: msu.edu|
  • Notice of Nondiscrimination|

SPARTANS WILL|© Michigan State University|

Google Analytics

Google Analytics 4, or GA4, is the most recent version of the Google Analytics service. It replaced the previous version, called Universal Analytics, or GA3, in 2023. It has an out-of-the-box version that is free to use.

GA4 Versus Universal Analytics

The main difference between the current version of Google Analytics, GA4, and the previous version (Universal Analytics or GA3) involves who is considered a “User” of the website. Universal Analytics placed an emphasis on measuring “total users,” referred to as “Users” in reports. GA4 focuses on “Active Users,” which it still refers to as “Users.”

There are several differences between GA4 and GA3 including the way that GA4 collects, processes and reports on data. GA4 includes new metrics and dimensions that are compatible in ways they weren’t in GA3. Below is documentation that provides more insight into the differences.

Google Analytics 4 is Google’s next-generation measurement solution, and it has replaced Universal Analytics. Starting on July 1, 2023, standard Universal Analytics properties stopped processing new data, and access to the Universal Analytics interface and API ended on July 1, 2024, for all customers. To maintain website measurement, units will need a Google Analytics 4 property. If your unit has not already, make the switch to Google Analytics 4.

Comparing Metrics: GA4 Versus Universal Analytics

Google Documentation

Refer to Google’s documentation for how properties in Universal Analytics differ from GA4. 

View article
A woman sits at a table, reading the book "What Would Google Do"
A magnifying glass is focused on an alert emergency icon sign, on a yellow background

Use Caution with Historical Data

This article is helpful when viewing historic data from GA3 or to become familiar with properties in GA4. When interpreting data, users must make sure to understand what a property is reporting.

View article

Dimensions and Metrics

A dimension is an attribute of the data. It is usually text and is used to describe the data. For example, any of the metadata labels that appear in a content taxonomy could be considered a dimension.

A metric is a quantitative measurement and is always numeric. For example, a unique visitor could note the number of unique visitors to a website whereas a session indicates how many visits a website generated.

Some dimensions and metrics are standard out-of-the-box when GA4 is added to a website. Others must be configured on a custom basis.

Benefit to enterprise platform users: University Communications and Marketing will set up basic GA4 in Google Tag Manager for SitecoreAI users. This implementation includes out-of-the-box metrics and dimensions. 

Units can then customize configurations, as needed, on their own. University Communications and Marketing cannot guarantee analytics support for questions regarding custom configurations. 

GA4 Dimensions and Metrics

Refer to the GA4 documentation for details and definitions of the dimensions and metrics available for use, as well as instructions for creating custom dimensions and metrics. 

View documentation
A phone screen displays Google search results for the term "analytics" with Google Analytics as the top result
An illustration of a laptop with text and image-based web pages and a magnifying glass.

Content Taxonomy

Content taxonomy can be used to augment data, providing additional details for content analysis. Units using non-Sitecore content management systems are welcome to use the same taxonomy used in Sitecore XM Cloud. Download a file of the taxonomy details. 

Download Excel file

GA4 Reports

GA4 automatically creates easy-to-access standard default reports upon initial setup. However, these reports do not always contain the kind of information that website managers and content authors want to see.

To enable users to customize their default view, Google has created libraries of report options. Here, users can browse collections of reports that contain the dimensions and metrics that they want to see on a regular basis. Users select reports of interest and customize the reports to meet unit needs. Users can also create reports from scratch. 

GA Reports Overview

Refer to the Google Analytics documentation for information on how to understand the standard reports available in GA4.

Learn more

GA Reports Library

Refer to the GA4 Report Library documentation for more information on working with the Report Library and custom reports.

Explore options

Online Training Resources

While Google does provide training and certification options through its Analytics Academy, there are other options. Below are two resources that the University Communications analytics team recommends. Both offer information on Google Analytics 4, or GA4, and Google Tag Manager, or GTM. The resources include courses, videos, blog articles and tutorials.

  • Analytics Mania
  • Loves Data

 

Documentation updated: June 15, 2026