An analyst is reviewing a standard report for a large eCommerce site and notices a significant portion of their data for the Page path dimension has been grouped into an (other) row. However, when they check the data quality icon, it indicates that the report is 100% unsampled. What's the cause of the (other) row appearing in this report?
Correct Answer
The Page path dimension has too many unique values, exceeding the report’s row limit .
Why is this the correct answer?
The cause is that the Page path dimension has too many unique values, exceeding the report's row limit. Standard reports can only hold a certain number of distinct dimension values, and on a large ecommerce site page paths run into the tens or hundreds of thousands. Once that limit is reached, the remaining values are bundled into an '(other)' row so the totals stay accurate even though the individual rows are not listed. High-cardinality dimensions such as page path, page title with query parameters, and product IDs are the usual culprits. The workarounds are practical: analyse the same data in an exploration, which handles the detail differently, narrow the report with filters or a shorter date range, or look at a grouped dimension such as page path level rather than the full path.
Why are the other options wrong?
A secondary dimension was added, which automatically groups less common results.
Adding a secondary dimension can increase the number of combinations and make the problem more visible, but it is not itself the cause of the '(other)' row.
The query exceeded the event quota limit, triggering data sampling.
The '(other)' row is a cardinality limit, not sampling. Sampling is reported separately and affects how data is estimated, not how rows are grouped.
The date range selected for the report is too short to populate all the data.
A short date range produces fewer unique values, which would reduce '(other)' rather than cause it.
Real-world example
An ecommerce analyst sees 40% of pageviews sitting in '(other)' because every product URL carries tracking parameters. Rebuilding the analysis in an exploration filtered to /product/ paths restores the detail, and the team also configures the property to stop collecting the unnecessary parameters.
Topics in this question
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The Google Analytics Certification tests your understanding of GA4: how data is collected through events, how accounts, properties and data streams fit together, and how to use standard reports, explorations and audiences to answer business questions.
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