Shown
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Held within 1.5% of the 14-day average.
Public YouTube analytics dashboard
Viewing this channel as it looked on Apr 9, 2026. 19 days before the most recent data.
Open Channel StatsNew ChannelThe smallest maturity stage — only milestone signals fire so thin samples don't drive statistical claims.
1 daydays tracked
1 videos so far · 9 total views
Click rate
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Held within 0.1 points of the 14-day average.
Views
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Held within 1.5% of the 14-day average.
Subscribers
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Held within 1.5% of the 14-day average.
Temperature
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Baseline takes about five weeks to compute.
This week
What's moved in the last 7 days.
This channel is 1 days old. 1 videos published. Currently in the seedling stage. 9 cumulative views.
Discovery phase: suggested-dominant
Current discovery phase for this channel: suggested-dominant.
80% of views from Suggested Videos — typical when YouTube is matching content to viewers of similar videos.
Also nearby
Queued to happen
DETECTOR NEARING
0 of 3
About 3 more videos until the relative-outlier detector has enough sample to fire. When it does, videos that sit well above or below the channel's own median get flagged as cross-video outliers in the Moment card.
What's movingDETECTOR NEARING
1 of 4
This channel is roughly 3 videos short of the point where the Day-1 predictor detector usually fires. Once it does, the Moment card can surface a correlation between first-day views and later totals on this channel.
What's movingThe Catalog
Which videos are the outliers?
1 video in 1 day. Most are still too new to compare against each other — by the 20th video, cross-video shapes start to be honest.
| Video | Published | Days tracked | Views | Primary traffic source |
|---|---|---|---|---|
| Video 1 | Apr 9 | 1 | 9 | Suggested Videos |
The Audience
Who is finding this channel?
Daily traffic mix
Each river is a traffic source; width follows daily views. Hover a stream to highlight its share over the last few days, or tap to open that source’s detail page.
No traffic data yet — sources appear once views start coming in.
Algorithmic dependency
What share of recent views came from sources where the viewer chose to come back (Direct, Channel Page, Playlist, End Screen, Link). The complementary share is algorithmic discovery (Browse, Suggested, Search). The ratio drifts as a channel matures; both extremes have legitimate channel patterns.
Persistence and replacement
Each week, what share of last week’s viewer mix came back versus how much of the mix is new. Compares the (source, country) buckets that delivered views in consecutive weeks.
Publishing cadence
Inter-publish gap distribution and the detected publishing pattern across the trailing 28 days. Weekend cells use a cooler tone, weekday cells a warmer one — descriptive only, not a verdict on the schedule.
Publishing cadence appears after the first 28 days.
Day-of-week rhythm
Day-of-week view tracking starts after 3 full weeks of data (1 so far).
The Pattern
Not enough catalog for cross-video patterns yet. This chapter fills in around the 20th video, when things like "longer videos hold viewers better on this channel" start to have statistical support.
1 of 20 video so far.
The Coda
What this data doesn’t tell you.
Is this channel normal?
This site can’t answer that — no one channel can. What it shows you is one real channel, honestly. Every number here is real; nothing has been smoothed or flattered. Compare silently to whatever channels you study most often, and draw your own conclusions.
Real “normal” would come from comparing against many channels at the same stage in the same niche. That’s a future direction; it’s not something one channel’s data can answer today. Country breakdowns — views, average watch, net subscribers — are shown above. Click rate by country isn’t, since YouTube doesn’t report how often a thumbnail was shown by country. Device-type and subscribed-vs-non-subscribed splits aren't shown in this public view.
What we tested:0 hold here·0 don't·0 inconclusive·→ See what we tested
Today's reading
This channel doesn't yet have enough data to test any beliefs in the canon.
Everything above is small-sample. Pattern-matching on a handful of videos usually produces mostly noise; by around the tenth video more of the chapters fill in with statistically meaningful content.
Most early-stage signals tend to stabilize after the catalog crosses a few dozen videos.