YouTube channel reporting
Watch time, retention and the audience behind it
Views, watch time, average view duration, subscribers, click-through rate, retention, traffic sources and audience for one client's channel. Sign in to open the report workspace, or preview what’s inside.
YouTube channel reporting
A channel is judged on watch time, not on the view count that sits above it, and YouTube Studio makes an account manager click through five screens to prove the difference. This report holds the whole channel in one structure per client: the eight numbers a review opens on, every video that earned a view in the window, and the traffic, retention and audience behind them.
The report opens on the eight scorecards a channel review actually begins with: views, watch time in hours, average view duration, subscribers, net new subscribers, impressions, impressions click-through rate and average percentage viewed. Watch time is held as raw seconds underneath, which is what makes average view duration an exact division rather than a stored figure — divide the same two counters at the channel, at a content format, at a traffic source or at one video and the answer stays consistent. Selecting any scorecard re-draws the daily trend beneath it, and the trend can plot thirteen metrics, including the two ratios, derived per day rather than smoothed across the period.
That matters because a view count on its own settles almost nothing. Two channels can report the same views in a month while one delivered thirty hours of watch time and the other three hundred, and only the second has an audience worth building a content plan around. Changing the date range re-bases the flows — views, watch hours, impressions, likes, comments, shares — while the subscriber count stays what it is, a level at a point in time. A shorter window therefore never invents a smaller channel, which is the quiet arithmetic error behind most hand-built YouTube slides.
The subscribers tab carries a five-figure band — subscriber count, net new, gained, lost and growth rate — over a daily table that walks the subscriber level day by day with that day's gains, losses and net movement. Beneath it, subscribers gained are broken out by content format with a per-thousand-views rate, so a format that pulls large view counts and almost no subscribers is visible instead of assumed. YouTube attributes a subscribe to the video that earned it but never attributes an unsubscribe, so the report says exactly that rather than dividing losses across videos to make a table look complete.
The second half of the tab is the split most channel reviews skip: how much of the watch time came from people already subscribed, and how much from people who were not. A channel taking almost all its watch time from non-subscribers is being carried by recommendation rather than by an audience, which is a fine month and a fragile position; one taking most of it from subscribers has a following that will show up for the next upload but may have stopped reaching anyone new. Both readings change what to publish next, and neither is visible in a subscriber count alone.
Every video that earned a view in the window gets a row: format, publish date, views, watch time, average view duration, average percentage viewed, impressions, click-through rate, and its likes and comments. Sort by views, by watch time or by newest, and open any row for the full card — subscribers gained from that video, end-screen and card clicks, views in its first seven days, and a bar showing how far into it the average view reached. Older uploads that are still being watched appear alongside the month's new ones, because a channel's month is rarely made only of what it published in it.
The retention tab then puts the two halves of a video's performance side by side. A distribution shows how many videos land in each retention band, per-video bars rank them, and a table sets impressions and click-through rate against average percentage viewed with a plain-language read of each row. A strong click-through rate with weak retention is a thumbnail promising something the video did not deliver — the most common and most expensive pattern on a channel, and one no single metric will ever surface. Rates are scored against the band the format itself sits in, never against a number borrowed from someone else's study.
Shorts, long-form uploads and live streams each get a card carrying the count in the report, views and share of views, watch hours and share of watch time, average view duration, average percentage viewed and subscribers gained, so each format is described on its own terms before any of them are ranked. A table underneath then compares them on averages per video — average views, average watch time, average view duration, retention, click-through rate and subscribers per thousand views — because totals simply reward whichever format happened to be published most often that month, and averages answer the question an account manager was actually asked in the review.
The distinction is not academic. A single Short can out-earn a quarter of long-form uploads on views while contributing a small fraction of the watch time and fewer subscribers than one mid-sized tutorial; a live replay collects a long runtime that almost nobody finishes. Average percentage viewed is what puts a forty-five-second vertical clip and a twenty-minute walkthrough on the same axis, since it measures how much of each video the average view actually got through. The content filter at the top re-bases the entire report — scorecards, trend, mix, and all eight tabs — so a Shorts-only or long-form-only reading is one click, not a second export.
Nine traffic sources are reported with views, share, watch time and — the column that usually decides the argument — the average view duration a view from that surface actually runs. YouTube search and playlists bring the longest views; the Shorts feed brings the shortest by a wide margin; suggested videos and browse features sit in between. The list orders by views or by watch time, and the two orderings frequently disagree, which is precisely the point: the surface delivering the most views is often not the one delivering the audience.
Because the mix is built from what the channel published rather than from a fixed template, the Shorts feed row rises and falls with the Shorts themselves and drops to zero when the report is filtered to long-form. Sitting under the search row, a table of the twelve YouTube search terms behind it shows each query's views and its share of search views. Those are queries typed into YouTube, which is a different behaviour from the queries a website ranks for in a search engine — that half of the picture lives in the search reporting alongside this page, and connecting each data source is its own setup step.
The audience tab reports the seven age bands YouTube publishes as stacked bars split by gender, new against returning viewers, and the top geographies, with a toggle that swaps every figure between views and watch time. Composition is reported for the channel and labelled as such, so nobody has to guess whether a demographic split has quietly been narrowed to one format. Toggling to watch time regularly reorders the list — an age band or a country can be a modest slice of the views and a large slice of the hours, which is the segment worth making the next video for.
The devices view is the one agencies forget. Watch time is broken out across mobile phones, computers, TVs, tablets and game consoles, and the TV row changes production decisions: on-screen text sized for a phone is unreadable in a living room, and a thumbnail competing in a ten-foot interface is a different design problem. Beside it, publishing cadence charts uploads and views by day of the week and reports the average views a new upload collected in its first seven days, so a publishing schedule can be argued from this channel's own record.
An impression is a thumbnail being shown to someone on a YouTube surface — home, search, suggested, subscriptions. A view is someone actually watching. The report shows impressions, the views that began from an impression, and the click-through rate between them. Views and impression clicks are not the same number, because plenty of views arrive from places that never served a thumbnail: the Shorts feed, playlists, external links and direct visits.
It depends on where the impressions came from, so this report will not quote you a figure. A video shown mostly to subscribers on the home feed earns clicks far more easily than the same video pushed to strangers in suggested, and a channel that suddenly reaches a much wider audience will see its rate fall while its views rise. That is why click-through rate is reported beside average percentage viewed: a rate is only good if the people it brought in stayed.
Watch time is the total hours watched across every view. Average view duration is that total divided by the number of views — how long a single view lasted on average. A month can grow its watch time purely by collecting more short views, which looks like progress and is not. The report shows both, plus average percentage viewed, which expresses duration as a share of each video's own length so different formats stay comparable.
A view is a view in the views column, but the report never leaves them mixed. Shorts, long-form uploads and live streams are separated by content type and compared on averages per video, watch time and average percentage viewed, and the Shorts feed appears as its own traffic source with its own average view duration. That keeps a strong month of Shorts from hiding what long-form did, and stops a Shorts spike from being read as channel-wide growth.
No. This is organic channel reporting only: views, watch time, subscribers, retention and traffic sources for content the channel published. Paid video campaigns are bought and measured through Google Ads, so video campaign spend, cost per view and conversions belong in the Google Ads reporting alongside this page. Keeping the two apart is deliberate — mixing paid delivery into an organic channel report makes both halves impossible to read.
