Measures how a set of cohorts you specify relate to an audience: for each cohort, its overlap with the audience, its index — how much more or less likely a cohort member is to be in it than the average user — and how many net-new users it would add. Use this to get precise numbers on how cohorts are related to each other.
How to trade estimate precision against how long the call takes. Omit for accuracy, which is the right choice here: this tool exists to produce figures you can report. one of: accuracy, balanced, speed.
ISO 3166-1 alpha-3 country codes (e.g. GBR, USA). When set, only activity in these countries is counted. Use get_workspace_details to find which workspaces have user activities in which countries.
The audience’s own reach over the window, with any restrict_to applied — the denominator behind every comparison’s overlap_percent and incremental_reach_percent.
Those net-new users as a percentage of the audience’s own size: incremental_reach_users / audience_reach.users × 100 — how much adding this cohort would grow the audience.
How much more or less likely an audience member is to be in this cohort than the average user: 1.0 = average, 1.5 = 1.5× more likely, below 1.0 = under-represented.
