Skip to main content
Demographic-cohort performance — how age groups and genders respond to your ads.

​
What this data model represents

Grain: one row per date × ad_account × campaign × adset × ad × age_segment × gender. Metrics, grouped by category — every number you can compute on this data model. Expand below for examples in each.
Dimensions, grouped by category — every way you can split, filter, or group those metrics. Expand below for examples in each.
Source: Meta Ads API, daily refresh.

​
Slice by

Unique to this data model: Plus the standard campaign hierarchy, time, account, and attribution dimensions — documented once on the Meta Ads Overview.

​
Use it to answer

  • Which age × gender cohorts give the highest ROAS — where should I shift budget?
  • Which cohorts click a lot but don’t convert — creative–landing-page mismatch?
  • How does AOV vary across age groups — does that change pricing or product strategy?
  • Should video length differ by audience? (shorter for younger, more informational for older)

​
Available metrics

Everything you can compute on this data model. Need a metric not listed? See the Meta Ads metric availability matrix.
Hook Rate and Hold Rate are not precomputed here — use Platform & Device for those, or derive them from raw fields below.
This data model exposes a near-complete raw field set (one of the richest, alongside Platform & Device):ad_spend · clicks · impressions · reported_orders · reported_revenue · unique_clicks · inline_clicks · inline_post_engagement · outbound_clicks · landing_page_views · add_to_cart · checkouts_initiated · view_content · post_engagement · post_reaction · add_payment_info · post_share · video_play_actions · video_views_pct_25 · video_views_pct_50 · video_views_pct_75 · video_views_pct_100