Shown
41% below the 14-day average.
Viewing this channel as it looked on Apr 17, 2026. 11 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.
9 videos so far · 201 total views
Shown
41% below the 14-day average.
Click rate
0.9 points below the 14-day average.
Views
51% below the 14-day average.
Subscribers
100% below the 14-day average.
Temperature
—
Baseline takes about five weeks to compute.
What's moved in the last 7 days.
This channel is 9 days old. 9 videos published. Currently in the seedling stage. 201 cumulative views.
Suggested Videos has driven roughly 75% of views over the last 7 days.
Three-day click rate is down 31% on Video 1 and watch time is up 52% versus the prior three days.
First 4 subscribers on a daily publishing pace
First subscribers on a steady-cadence channel often come from viewers who saw the channel more than once before subscribing — so they tend to reflect return-visit pacing as much as any one video's depth.
307% above channel median for Video 3
When a video runs above norm for its age, one common cause is a new traffic source activating (Browse, Suggested, or Search). The traffic breakdown on the video page shows the mix.
Videos from week 2026-W15 are climbing
A recent batch climbing while older cohorts hold steady often points to YouTube finding a fit between the newer videos and a viewer cluster, rather than a channel-wide shift. The pattern usually persists for a week or two before older cohorts catch up or the lift settles.
Times shown on Video 2 stepped up 3.5×
A video can be shown more often without click rate falling for several reasons — wider distribution, a different viewer mix on this surface, or a topic landing on a new surface. The pattern is worth watching across the next few days.
Suggested Videos share shifted on Video 3
Source shifts often reflect the video aging out of the surface that originally drove its views — or being rediscovered through a different one.
Channel Page
Across 3 recent days, Channel Page has contributed 7 views — still below the 30-view threshold, but worth watching: sources that clear the floor usually show up on the traffic page with their own per-video share.
Traffic breakdownIn roughly 1 day, Video 3 crosses Day 7 — typically the point where the first-week view shape can be lined up against other videos on this channel's placement chart.
About 1 more video 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 moving4 more videos cross Day 7 in the next few days. Once they do, their first-week view shape can be compared against the rest of the catalog on each video's placement chart.
Which videos are the outliers — notes and lead changes along the bottom.
9 videos in 9 days. 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 9 | Apr 17 | 1 | 1 | Suggested Videos |
| Video 8 | Apr 16 | 1 | 3 | Browse / Homepage |
| Video 7 | Apr 15 | 2 | 3 | Suggested Videos |
| Video 6 | Apr 14 | 4 | 13 | Suggested Videos |
| Video 5 | Apr 13 | 4 | 2 | Suggested Videos |
| Video 4 | Apr 12 | 5 | 6 | Suggested Videos |
| Video 3 | Apr 11 | 7 | 93 | Suggested Videos |
| Video 2 | Apr 10 | 7 | 58 | Suggested Videos |
| Video 1 | Apr 9 | 8 | 22 | Suggested Videos |
Who is finding this channel?
Discovery phase: Suggested for Viewers — see Traffic.
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.
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.
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.
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 view tracking starts after 3 full weeks of data (2 so far).
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.
9 of 20 videos so far.
What this data doesn’t tell you.
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.
Half of this channel's subscribers came from one of 9 videos. Concentration like this is common at small catalogs and is descriptive, not a verdict.
What we tested:0 hold here·0 don't·0 inconclusive·→ See what we tested
Today's reading
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.