Filters

Learn how to create and apply filters in Looker Studio. Discover the different filter types, how to set them up step by step, and best practices to refine your data analysis and reports.

Controls, Parameters & Filters

All data does not serve the same purpose. In some cases, you’ll need to refine your analysis more precisely, isolating a specific segment or excluding values that add no meaningful insight. To do this, Looker Studio allows you to create your own filters, in addition to the standard controls built into the tool.

What is a filter in Looker Studio?

A filter in Looker Studio is a setting that determines which data is displayed (or not) in your charts, tables, and reports. You can create and apply multiple filters within the same report.

Do not confuse filters with controls in Looker Studio. While a filter is static, a control is a dynamic element that can be used by a viewer. Filters, on the other hand, can only be created and configured in edit mode.

How to create a filter in Looker Studio

1. Open the filter editor

  • From the top menu: Resources > Manage Filters > Add a filter
  • Or directly from a visualization in your report: Add filter
A GIF showing how manage filters from Looker Studio report interface: Resources > Manage Filters > Add a filter

💡 This same window allows you to modify or delete existing filters.

2. Define the filter conditions

Choose your filter name, the relevant data source, whether to include or exclude values, and which field to apply it to. You can select multiple fields and combine them using the logical connectors AND and OR. If you choose “AND”, all conditions must be met; if you choose “OR”, only one of your conditions needs to be met.

Examples of filters:

  • Display only campaigns that start with “SEARCH.”
A screen capture from Looker Studio showing filters settings with Google Ads fields
  • Exclude “(not set)” values from the Source dimension.
A screen capture from Looker Studio showing filters settings with GA4 fields

Once you’ve defined your conditions, save your filter.

How to add a filter in Looker Studio

There are three ways to apply a filter in Looker Studio.

At the report level

If you apply a filter at the report level, it will affect all pages and all visualizations.

  • Click File > Report Settings
  • In the right panel, click Add filter
  • Choose your filter
A GIF showing how to add a filter to report in Looker Studio. File > Report Settings > Add filter

💡 You can remove the filter in the same place: hover over it, then click the cross icon that appears.

At the page level

The filter will apply only to the selected page.

  • Click Page > Current Page Settings
  • In the right panel, click Add filter
  • Choose your filter
A GIF showing how to add a filter to a Looker Studio report page. Page > Current Page Settings > Add filter

💡 You can remove the filter in the same place: hover over it, then click the cross icon that appears.

At the chart level

Finally, you can add a filter directly to a chart or component.

  • Select the component
  • In the right panel, under the Filter section, click Add filter
  • Choose your filter
A GIF showing how to add a filter to a chart in a Looker Studio report. Select component > Add Filter

Calculated fields and filters

Calculated fields are custom fields that you create in Looker Studio from existing data. They allow you to prepare or transform your data before applying filters.

Example: you want to filter campaigns whose names contain “Search” or “SEA,” but the naming isn’t consistent (for example, “search_fr,” “Search_UK,” or “SEA-CAMP”). You can create a calculated field, using REGEX, called Campaign Channel:

CASE
    WHEN REGEXP_MATCH(Campaign, "(?i)(search|sea)") THEN "SEA"
    ELSE "Other"
END

Then, create a filter that includes only rows where Campaign Channel = SEA.

Why combine filters and calculated fields?

  • To standardize data before filtering.
  • To create custom groupings (by region, channel, campaign type, etc.).
  • To eliminate noisy or inconsistent values (tracking errors, mislabeled data).

This approach is powerful: instead of building complex filters with multiple conditions, you clean your data once with a calculated field, then filter on that simplified output.

Best practices

Creating filters in Looker Studio is simple, but managing them can quickly become complex if you have multiple conditions and data sources. Here are some best practices to keep your reports efficient and easy to maintain.

A diagram showing the 5 best practices to use filter on Looker Studio: naming conventions, centralize filters, avoid overload, test filters, wise combination

Use clear naming conventions

Adopt a consistent structure for naming filters.

For examples:

  • Include – Source – Google Ads
  • Exclude – Country – France
  • Include – Campaign – SEARCH

This makes filters easier to find and understand at a glance in the Manage Filters list.

Centralize recurring filters

If you often use the same filters (for example, excluding “(not set)” or filtering out test data), create them at the report level instead of per chart. This ensures consistency across pages and simplifies maintenance.

Avoid filter overload

Adding too many filters can slow down your report. Combine multiple conditions within a single filter using AND / OR instead of stacking separate filters.

Test your filters

Make sure your filters don’t accidentally hide important data. Temporarily switch to Include All mode to compare filtered vs. unfiltered results.

Combine filters and controls wisely

Filters are best for fixed exclusions (irrelevant values, internal traffic, etc.), while controls (drop-down menus, checkboxes, date sliders) give viewers interactive exploration options. Plan your filtering strategy early in your report design process.

Common errors in Looker Studio

  • Missing or renamed field: the field used in the filter no longer exists in the data source and must be updated.
  • Incompatible data type: the filter condition doesn’t match the field type (text, number, or date).
  • Filter applied to the wrong source: the visualization and the filter use different data sources.
  • Case or spacing sensitivity: “Search” and “search” are treated as different values.
  • Conflicting filters: two filters exclude or override each other on the same field (for example, “Include France” and “Exclude Europe”).
  • Incorrect filter level: the filter is applied at the wrong level (report, page, or chart).
  • Invalid calculated field: a syntax error or missing field causes the filter to fail.
  • Disconnected or expired source: the connector has lost access to the data source.

Conclusion

Filters in Looker Studio are powerful tools to refine your analysis, clean your data, and make your reports more insightful. By combining them with dynamic controls and calculated fields, you offer users a smoother and more customized data exploration experience. Used effectively, filters become an essential part of your reporting strategy, improving both the quality of insights and the overall performance of your dashboards.