Analyze your YouTube Analytics data with AI today.

Channel-level metadata such as title, description, and statistics; the top-level entity that all channel reports roll up to. Used to attribute performance and growth to specific channels.

Video metadata including title, publish date, duration, and status; the unit of content whose performance is tracked over time. Used to identify top and underperforming videos.

Playlist metadata and the items mapping videos into playlists. Used to analyze how curated collections drive views and watch time.

Daily basic and combined channel reports with views, watch time, average view duration, likes, comments, shares, and subscriber gains/losses by video, country, and subscriber status. The core metric set for tracking channel health.

Channel views and watch time broken down by country and province/region. Used to understand where an audience is geographically concentrated.

Channel viewership distribution by age group and gender. Used to profile who is watching and inform content and audience targeting.

Channel views and watch time segmented by where viewers came from (search, suggested videos, external sites, playback locations, sharing services). Used to optimize discovery and distribution.

Channel views and watch time by device type and operating system. Used to understand viewing context and prioritize platform experience.

Performance of annotations, cards, and end screens including impressions, click rates, and clicks. Used to measure how on-video calls-to-action drive engagement.

Daily playlist reports for views, watch time, geography, traffic sources, playback locations, and device/OS. Used to evaluate how playlists contribute to overall consumption.

Content-owner-level performance across the managed video library: basic and combined metrics, geography, traffic sources, devices, interactive elements, and subtitles. Used by multi-channel networks and rights holders to analyze the full catalog.

Content-owner viewership distribution by age group and gender across the managed library. Used to profile audience composition at portfolio scale.

Content-owner playlist reports for views, watch time, geography, traffic sources, and devices. Used to measure curated-collection performance across a managed library.

Content-owner estimated revenue and ad rate reports including ad-supported earnings, CPM, and ad performance. Used to track monetization and forecast earnings.

Claimed-asset-level reports for the content-owner library: performance, geography, demographics, traffic sources, devices, interactive elements, and per-asset estimated revenue. Used by rights holders to attribute views and earnings to specific owned assets.