YouTube Analytics — data fields
Views, watch time, engagement and subscribers by day, video, country and traffic source. Every field id you can pass to fields= in the API, Looker Studio, exports and AI chats. Shared ids line up across sources so they blend.
All sources
Meta Ads (Facebook & Instagram)Google AdsTikTok AdsLinkedIn AdsGoogle Analytics 4Google Search ConsoleFacebook Pages (organic)Instagram (organic)YouTube AnalyticsShopifyWooCommerceKlaviyo
| Field id | Name | Section | Kind | Type | Description |
|---|---|---|---|---|---|
account_id |
Account ID | dimension | string | ||
account_name |
Account name | dimension | string | ||
average_view_duration |
Avg. view duration (s) | metric | float | ||
comments |
Comments | metric | integer | ||
country |
Country | dimension | string | ||
datasource |
Data source | dimension | string | Connector the row came from | |
date |
Date | dimension | date | ||
device_type |
Device type | dimension | string | ||
likes |
Likes | metric | integer | ||
shares |
Shares | metric | integer | ||
subscribers_gained |
Subscribers gained | metric | integer | ||
subscribers_lost |
Subscribers lost | metric | integer | ||
traffic_source |
Traffic source type | dimension | string | ||
video_id |
Video ID | dimension | string | ||
video_title |
Video title | dimension | string | ||
views |
Views | metric | integer | ||
watch_time_minutes |
Watch time (minutes) | metric | float |
Date parts
Available on any source with date. Metrics are re-aggregated to the period.
weekWeek (starting Monday)year_weekYear-week (2026-W42)monthMonth (2026-10)quarterQuarter (2026-Q4)yearYearday_of_weekDay of week (Mon..Sun)Calculated metrics
Computed after aggregation wherever the inputs exist.
roasrevenue / nullif(spend, 0)cpaspend / nullif(conversions, 0)conversion_rateconversions / nullif(clicks, 0) * 100aovrevenue / nullif(orders, 0)Filters
Pass JSON in filters=:
[["spend","gt",100],"and", ["campaign","contains","brand"]]
Operators: eq, neq, gt, gte, lt, lte, contains, ncontains, null, notnull, in.