Understand an audience with composition profiles

Know who is inside

A result count tells you how many people matched. Audience Composition explains what the group looks like: prominent values, recency bands, missing data, differences from the organization baseline, and a short Cabby narrative.

Sampled at scale · Cabby summary · Automatic mode

Analyze a run

1. Open an audience’s Run History and select a completed run.
2. In Audience Composition, select Analyze. Use Re-analyze if you want to recompute it later.
3. Start with Highlights, then review What stands out, As filtered, and the Cabby Summary.

Highlights focus on meaningful divergence from the wider organization and on data-quality signals. Fields used directly in the audience filters are separated as As filtered, so an expected skew is not presented as a surprising discovery.

Exact versus sampled

Smaller audiences can be profiled in full. Larger audiences use a representative sample and show Profile based on … members (sampled). Sampling keeps the job bounded while remaining useful for distribution-level insight.

The narrative follows the numbers

CAB decides which differences are noteworthy before Cabby writes the summary; the model does not choose or invent the underlying statistics.

For admins

CAB Settings → Performance & data → Advanced Settings

Turn on Automatically compute composition profiles after each run to enqueue profiles automatically. Leaving it off does not remove the manual Analyze action.