- Inclusion criteria decide which units are eligible for the experiment.
- Allocation sets the percentage of the included population to run the experiment on.
- Targeting key specifies the field in the evaluation context that Confidence randomizes traffic on.
- Exclusivity controls how the experiment relates to other experiments, rules, and segments.
Inclusion Criteria
You can combine these criteria types:- Attributes: Target users based on evaluation context fields like country, platform, or version.
- Segments: Target users who belong to a pre-defined segment, so you reuse the same audience across experiments.
- Holdbacks: Include or exclude a random subset of users defined by a holdback on a surface.
- Groups: Combine multiple criteria with
ANDorORoperators to build complex targeting logic.

