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Google Ads performance by inferred gender — a small dimension with a high-leverage budget question attached.

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What this data model represents

Grain: one row per date × ad_account × campaign × adset × 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: Google Ads API, daily refresh.
Gender is inferred from user behavior, account info, and browsing patterns — not all users can be classified. Expect a meaningful Unknown bucket.

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Slice by

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

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Use it to answer

  • Which gender segment gives higher ROAS — where should I shift budget?
  • Where do CTR and engagement differ by gender — should creative be gendered?
  • What bid modifier is justified by the conversion-rate delta?
  • How do video completion rates vary — tailor video length per segment?

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Available metrics

Everything you can compute on this data model. Need a metric not listed? See the Google Ads metric availability matrix.
ad_spend · conversion_value · conversions · clicks · impressions · engagements · interactions · view_through_conversions · cross_device_conversions · video_views · video_25_watched · video_50_watched · video_75_watched · video_100_watched