Treatment group
A treatment group is a set of experimental units assigned to receive the intervention or condition whose effects are being evaluated.
First-Party Data Activation
The experimentally assigned group that receives the marketing intervention being evaluated.
- How it is used
- Isolates the effect of a data-activated marketing intervention by comparing exposed customers with a control baseline.
- How deep it goes
- Details assignment, exposure, analysis safeguards, and export boundaries; leaves sample-size calculation to the data team.
- Examples
- Uses personalized email, first-party-data lookalike targeting, and added SMS as test interventions.
- What you can do after
- Evaluate whether personalization, segmentation, or an added channel produces incremental conversion or revenue uplift.
Read how First-Party Data Activation explains treatment group →
Machine Learning System Design
The group in an experiment that receives the new condition or intervention being evaluated.
- How it is used
- Tests whether a new ML system changes key metrics relative to the existing system.
- How deep it goes
- Defines assignment and comparison, then extends into metric reporting and statistical testing without detailing allocation algorithms.
- Examples
- Uses an A/B split diagram and a retail experiment reporting shops, checks, revenue, and group-level metrics.
- What you can do after
- Evaluate an ML change by comparing treatment outcomes with a control group while monitoring exposure and external influences.
Read how Machine Learning System Design explains treatment group →
Related concepts
- control groupcontrasts with · A control group is a set of experimental units assigned to a baseline or comparison condition against which an intervention is evaluated.
- experimentationused by · Experimentation is the deliberate testing of an idea, intervention, or alternative by observing outcomes to gather evidence or compare effects.
- language modeluses · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
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