Filters & saved segments

Define an audience once. Reuse it everywhere.

Filter by response, save audiences and segments, and build banner categories that work across tables, charts, and exports. Researcher-defined if-then segments sit alongside data-led clustering outputs in the same project.

Build the cut the question calls for.

Use flexible operators across demographics, behaviours, coded text themes, and survey responses. Combine filters for complex audience definitions without rebuilding the logic for each table.

Let the segment travel with the analysis.

Saved segments persist as project columns: use them as banner variables, chart filters, clustering exclusions, or Insight Hub explorable dimensions. That makes follow-up cuts comparable and defensible instead of a fresh audience definition each time.

Make an audience definition part of the project.

The useful asset is not only the first filtered table. It is the definition behind it: who was included, which conditions were combined, and whether the audience should be exclusive or overlapping. Keeping that logic in the project gives analysts a repeatable basis for subsequent cuts and gives stakeholders a clearer explanation of who a result represents.