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Posted on 06/21/2023 at 09:30 AM
Looking for an easy way to get better insights from your Google Analytics data? Secondary dimensions are a powerful feature in GA4 that can help you get better data about your website performance, allowing you to make more informed business decisions.
In this Google Analytics 4 tutorial, we’ll walk you through what you need to know about dimensions in Google Analytics and how you can start using them today!
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1. What are dimensions? (primary vs secondary)
2. What secondary dimensions are avialable?
3. Benefits of secondary dimensions
Dimensions are qualitative attributes about your data, think of them as categories that identify a user. In Google Analytics, there are both primary and secondary dimensions.
Primary dimensions are the default field by which your report is sorted and/or aggregated in Google Analytics 4. These default dimensions are automatically added to your GA4 property.
Secondary dimensions are optional, additional parameters that can be added to your GA4 reports for more detailed information about your visitors' activity on your website. These custom subsets of data allow you to gain insights that are tailored specially to your business and its unique goals.
Before delving into secondary dimensions, it's important to understand the difference between metrics and dimensions in GA4. Metrics are quantitative measurements that provide numerical values, such as the number of users, sessions, or page views. They are the primary indicators of performance and provide crucial data for analysis.
On the other hand, dimensions are attributes that provide context to your metrics. They provide qualitative information and help you understand the characteristics of your users and their interactions. Examples of dimensions include the source or medium through which users arrived on your website, the device they used, or their geographic location. Dimensions allow you to segment and filter your data to gain more specific insights.
GA4 provides a wide range of dimensions that can be used as primary or secondary dimensions. Some common secondary dimensions include:
Demographics (age, gender)
Adding a secondary dimension to your primary dimension in GA4 can help you gain more granular insights into your data. Here are some ways to effectively use secondary dimensions:
To add a secondary dimension in GA4, follow these steps:
See the steps in action!
Open your Google Analytics 4 property.
Navigate to your report of interest. For this example, let’s say that report is “Traffic Acquisition”.
Once in your GA4 report, narrow down your information if you need to. This can help declutter the report after you select your secondary dimension. In this example, we’ll narrow it down to just “Email”.
Click on the plus button directly next to the primary dimension.
Either search for or select the secondary dimension that you want to add. In this example, we want to look at what devices users are using when coming to our website via email. Hence, we will be selecting “Device Category” as our secondary dimension. You can choose any of the dimensions available.
Examine and analyze the results.
*Note: you can only add one secondary dimension by using this method, if you would like more dimensions, the Free Form report feature on GA4 is recommended. Check out our Google Analytics 4 training on creating Free From reports!
Secondary dimensions in Google Analytics 4 offer a powerful way to gain deeper insights into your data. By leveraging secondary dimensions effectively, you can segment and analyze your data in a more granular and meaningful way. Exploring the wide range of dimensions available in GA4 will help you make more informed business decisions, optimize your marketing strategies, and improve your website traffic.
Start utilizing secondary dimensions in GA4 to unlock valuable insights and take your data analysis to the next level! With comprehensive Google Analytics services, our Google Analytics experts can help with anything from setting up and optimizing your Google Analytics property to strategic digital marketing strategy recommendations based on your website analytics!
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