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Exposure filters are methods for narrowing down more closely which users to include in the exposure definition and the analysis of your experiment. When you add an exposure filter, the analysis only includes the exposed users that also match the exposure filter.
You first need to create a fact table that has information about the exposure criteria before you can use it as an exposure filter.

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Add an Exposure Filter

1

Go to Results section

On the experiment design page, click Results on the left sidebar.
2

Click Exposure filters

Click Exposure filters to open the exposure filter dialog.
3

Enter a name

Give the exposure filter a descriptive name.
4

Select fact table

Select the exposure filter fact table from the dropdown. This fact table should contain information about when users meet your exposure criteria.
5

Add filter criteria (optional)

Optionally filter rows from the fact table by clicking Add attribute or Add set to define criteria. For example, if you have multiple page view events in the same fact table, filter to include only views from a specific page.
6

Click Add

Click Add to save the exposure filter.
For exposure filtering, you can only select fact tables that have a column of type Entity that matches the entity for the experiment.
Exposure filters don’t affect who actually gets the experiment experience. The filter only narrows down who counts as exposed in your A/B test. To limit who actually sees the experiment, use inclusion criteria instead.

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View Results with Exposure Filters

Confidence produces metric results for each exposure filter separately. You can:
  • Select different exposure filters in the results page to see how results vary
  • Click Detailed results to see all metrics with and without all exposure filters simultaneously

Exposure Reference

Deep dive into exposure configuration

Create Fact Tables

Set up exposure filter data sources

Explore Results

Analyze results with different filters

Interpreting Results

Understand experiment results