[GA4] Apply segments and filters, and view users

Segments and filters let you restrict the data shown in the visualization according to certain selection criteria. Filters apply to the current visualization. Segments you create or modify are available in any tab of the current exploration.

In this article:

Apply segments

Drag segments from Variables to the SEGMENT COMPARISONS.

Applying the Direct traffic segment.

You can add multiple segments to the Tab Settings. To visualize how multiple segments relate to each other, use the Segment overlap technique.

Create new segments from your data

If your exploration shows an interesting data point, you can save it as a segment or audience:

  1. Right-click on the data on the canvas.
  2. In the popup menu, click Create segment from users or Build audience from users.
  3. Give the segment a better name if you want, then click SAVE.

Your new segment is applied to the exploration, unless it already has the maximum number of segments applied.

Learn more about building segments.

Create filters

Filter exampe: Country begins with "A".
  1. At the bottom of Tab Settings, click a filter box and select a metric or dimension from the popup list. Or, drag dimensions and metrics from the Variables panel to an available filter box.
  2. Select a filter condition from the list. Your choices vary depending on the type of field (dimension or metric) you're filtering on.
  3. Type a condition to complete the filter criteria.
  4. Click APPLY.
Dimension filters are case sensitive.
 
You can add up to 10 filters to the tab. Multiple filters are ANDed together (all conditions must match).

View users

Right-click a data cell, then select "View users."

You can examine individual (rather than aggregate) user behavior with the User exploration report. This report shows the users that make up the data points in your explorations:

  1. Right-click on the data on the canvas.
  2. In the popup menu, click View users.
  3. The User exploration report appears, populated with the users that contributed to that data point.

Learn more about the User exploration report

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