- 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.
Allocation
You can increase the allocation of a live A/B test, but you can’t decrease it. For rollouts, you control the allocation through the rollout reach. Read more in Allocation.Randomization
Confidence randomizes units into variants using the value of the targeting key field in the evaluation context. Choose the field that maps best to the experience you are testing. Read more in Randomization.Sticky Assignment
To enable sticky assignment, open Advanced options in the Audience section. With sticky assignment on, Confidence stores every assignment so that units keep their variant, and you can pause intake of new units. Read more in Sticky assignments.Exclusivity
To keep units from being in two experiments at the same time, add the experiments to the same exclusivity group. Exclusivity groups live on surfaces. Read more in Exclusive experiments and exclusivity groups.Related Resources
Audience Targeting
Full reference for audience configuration
Define Audience Criteria
Configure targeting criteria
Exclusive Experiments
Set up mutual exclusion
Treatments Reference
Configure experiment variants

