Save explore filters as a pipeline task or a new View
Edit access to the workspace · Updated 8 Nov 2026
Explore filters are temporary: they change what you see while you explore, not the View. To keep the logic, click the Use these filters button (⋮) beside the filter badge, next to the Explore toggle. It shows only while explore filters are on, and not in preview mode.
Choose a new View or a pipeline task
| Option | What happens | Choose it when |
|---|---|---|
| Create New View with these filters applied | A name box opens (default "Filtered View"); click Submit. A new View in the same dataset opens with your filters applied. The original View is unchanged | Several people need this segment, or it is a regular business segment such as "Enterprise Customers West Coast" |
| Convert these filters into a Task in the Pipeline | The Functions panel opens with a Conditional Filter filled in from your filters. Review it and apply it; the task then runs with the pipeline | You want to change the current View for good, or the filters are data quality rules |
Before you save, open the badge list and check each filter reads the way you meant. See Manage and clear explore filters.
Explore filters compared with Conditional Filter tasks
| Explore filters | Conditional Filter tasks | |
|---|---|---|
| Purpose | Exploration and investigation | Automated data processing |
| Created by | Explore Card clicks | The Transform menu, or converting explore filters |
| Where you see them | The filter badge and chips on cards | Tasks in the pipeline panel |
| Scope | What the grid and cards show while you explore | Part of the pipeline; runs on every data refresh |
| Best for | "Let me look at this segment" | "Always exclude test data from this View" |
A Conditional Filter task also changes what View Insights and the Data Quality Report read, because those tools ignore explore filters and read the whole View after its pipeline.
Related
- Explore Cards: make the filters you save here.
- Filter rows: edit the Conditional Filter task once it is in the pipeline.
- How the pipeline works: where the task runs on every refresh.
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