The (other) row is GA4 quietly telling you it ran out of room and lumped the rest of your data into one anonymous bucket. It hides exactly the long-tail detail you often went looking for. Here is why it appears and how to shrink it.

What causes (other)

GA4 reports have row limits: standard reports keep the top 50,000 rows per day, while explorations can show up to 2,000,000. When a dimension produces more unique values than the limit, GA4 keeps the highest rows by metric and dumps everything else into (other). The usual driver is a high-cardinality dimension, meaning one with more than 500 unique values in a day.

Find the high-cardinality culprit

The fix starts with identifying which dimension is exploding the row count. Common offenders are page paths with query parameters, full URLs, product IDs, and custom dimensions carrying near-unique values like timestamps or user IDs. Once you know the culprit, you have several ways to tame it.

Ways to reduce it

Work down this list from easiest to most thorough:

  • Shorten the date range, since (other) is calculated per day and smaller ranges stay under limits.
  • Remove or avoid a high-cardinality secondary dimension in the report.
  • Clean the offending dimension at collection, for example stripping query parameters from page paths.
  • Avoid stuffing near-unique values into custom dimensions.
  • Use an exploration instead of a standard report for a higher row ceiling.

Fix it at the source when you can

The durable fixes happen before data reaches GA4. Strip unnecessary URL parameters so page paths collapse into fewer unique values, and design custom dimensions to hold categories, not identifiers. A custom dimension that stores a user ID or a raw timestamp will generate thousands of values a day and guarantee (other).

-- In BigQuery: page path without the query string, to see true top pages
SELECT
  REGEXP_REPLACE(page_location, r'\?.*$', '') AS clean_page,
  COUNT(*) AS views
FROM `project.analytics_123456789.events_*`
WHERE event_name = 'page_view'
GROUP BY clean_page
ORDER BY views DESC

When you need every row, use BigQuery

Some analysis genuinely has more than 50,000 or two million daily rows, and no interface tweak will help. The BigQuery export has no (other) row at all, so for exact long-tail reporting, query the raw events directly. That is the one route that removes the limit entirely rather than working around it.

The (other) row is GA4 running out of room and hiding your long tail in an anonymous bucket, and most of the time you can shrink it. Narrow the range, drop high-cardinality dimensions, clean the data at collection, and fall back to BigQuery when you truly need every row. Do that and the detail (other) was swallowing comes back into view.

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