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Google introduces a new tool called “Saved Comparisons” in GA4, allowing users to save customized segment filters for quick analysis. This feature enables users to save filtered user data segments and compare them side by side efficiently. According to Google, this tool aims to help users save time when comparing their desired user bases, eliminating the need to recreate comparisons each time.
The recently introduced comparison tool enables users to craft tailored filtered perspectives of Google Analytics data, utilizing dimensions such as platform, country, traffic source, and custom audiences.
These dimensions support the incorporation of multiple conditions through logic operators.
For instance, users can generate a comparison that segregates “Android OR iOS” traffic from web traffic. Alternatively, they can integrate location data such as “Country = Argentina OR Japan” with platform filters.
These customized comparison perspectives can then be stored at the property level within Analytics.
Users with appropriate access rights can swiftly apply saved comparisons to any report, facilitating efficient analysis without the need to reconstruct filters.
According to Google’s documentation:
“As an administrator or editor…you have the ability to save comparisons to your Google Analytics 4 property. Saved comparisons empower you and others with access to compare the user bases you care about without having to recreate the comparisons each time.”
The introduction of the saved comparisons feature is being implemented progressively. Each property has a maximum limit of 200 saved comparisons.
For more intricate filtering requirements, like sequences of user events, Google advises creating a custom audience initially and then saving a comparison based on that audience definition.
Certain reports may not be compatible if they lack the filtered dimensions utilized in a saved comparison. In such instances, the documentation recommends selecting alternative dimensions or conditions suitable for that report type.
The introduction of saved comparisons tackles a labor-intensive aspect of analytics.
Analyzing data requires examining it from various perspectives, such as device, location, and traffic source segmentation. Reconstructing these filtered comparisons manually for every report can impede productivity.
In an environment where data teams are often pressed for time, any innovation that simplifies routine tasks is highly valued.
Saved comparisons offer a solution to the time-consuming task of recreating filters, allowing for more efficient analysis.
Here are several ways this feature could improve your workflow:
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