Shown
73% below the 14-day average.
Viewing this channel as it looked on Apr 30, 2026. 0 days before the most recent data.
Open Channel StatsEarly StagePatterns are starting to show, but the sample is still small enough that trends often shift week to week.
22 videos so far · 834 total views
Shown
73% below the 14-day average.
Click rate
3.4 points above the 14-day average.
Views
63% below the 14-day average.
Subscribers
367% above the 14-day average.
Temperature
—
Baseline takes about five weeks to compute.
What's moved in the last 7 days.
This channel is 22 days old. 22 videos published. Currently in the sprouting stage. 834 cumulative views.
Suggested Videos has driven roughly 90% of views over the last 7 days.
Channel-wide impressions ran at or below half their prior 14-day median for 2 consecutive days; today sat 74% below that baseline.
6 videos getting Suggested Videos views
Suggested Videos is YouTube matching these videos to viewers who watched something similar — usually where early traction shows up for newer channels. Multiple videos showing up on the same surface in the same window is usually more about YouTube's matching than anything those videos did differently — worth watching a few more days to see if the pattern holds.
Click rate +125%, watch -31% on Video 4
A pattern often described as the audience swapping — clicking more, watching less. Tends to point to the impression mix shifting toward a wider audience that doesn't quite match the video. Rarely meaningful unless it persists past a week.
Video 6 crossed an audience-deepen threshold
Sometimes described as the audience deepening — fewer clicks, longer watches per viewer. Often happens when the impression mix narrows toward viewers who already match the video. Worth watching whether it carries into the next week.
-100%/+181% click-rate / watch split on Video 5
Sometimes described as the audience deepening — fewer clicks, longer watches per viewer. Often happens when the impression mix narrows toward viewers who already match the video. Worth watching whether it carries into the next week.
Videos from week 2026-W17 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.
Video 3 adds to its lead
Crossing 100 views often marks the point where a video reached a small audience beyond the immediate algorithmic test.
Browse / Homepage
10 views over 3 recent days from Browse / Homepage — typically too thin to call a trend yet. Once it clears the 30-view floor, Browse / Homepage usually surfaces on the traffic breakdown alongside the channel's steadier sources.
Traffic breakdownVideo 16 hits Day 7 in about 1 day. Once it crosses, the first-week view shape becomes readable on the video's placement chart.
Video 9 hits Day 14 in about 1 day. Once it crosses, the two-week arc becomes readable on the video's placement chart.
2 more traffic sources are starting to show signal in the recent window. Each is still too thin on its own to read as a trend — sources that hold up typically show up on the traffic breakdown with their own per-video share.
Which videos are the outliers — notes and lead changes along the bottom.
| Video | Published | Days tracked | Views | Primary traffic source |
|---|---|---|---|---|
| Video 22 | Apr 30 | 1 | 1 | Suggested Videos |
| Video 21 | Apr 29 | 1 | 1 | Channel Page |
| Video 20 | Apr 28 | 1 | 3 | Suggested Videos |
| Video 19 | Apr 27 | 1 | 3 | Suggested Videos |
| Video 18 | Apr 26 | 4 | 14 | Browse / Homepage |
| Video 17 | Apr 25 | 0 | 0 | (no primary source yet) |
| Video 16 | Apr 24 | 7 | 12 | Suggested Videos |
| Video 15 | Apr 23 | 8 | 22 | Suggested Videos |
| Video 14 | Apr 22 | 7 | 13 | Browse / Homepage |
| Video 13 | Apr 21 | 2 | 1 | Channel Page |
| Video 12 | Apr 20 | 9 | 11 | Suggested Videos |
| Video 11 | Apr 19 | 12 | 8 | Suggested Videos |
| Video 10 | Apr 18 | 9 | 10 | Suggested Videos |
| Video 9 | Apr 17 | 12 | 9 | Suggested Videos |
| Video 8 | Apr 16 | 15 | 82 | Browse / Homepage |
| Video 7 | Apr 15 | 12 | 7 | Suggested Videos |
| Video 6 | Apr 14 | 16 | 27 | Suggested Videos |
| Video 5 | Apr 13 | 18 | 20 | Suggested Videos |
| Video 4 | Apr 12 | 19 | 88 | Suggested Videos |
| Video 3 | Apr 11 | 19 | 411 | Suggested Videos |
| Video 2 | Apr 10 | 18 | 67 | Suggested Videos |
| Video 1 | Apr 9 | 12 | 24 | 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.
Average daily views by day of week, trailing 22 days (4 weeks of data).
What repeats across the catalog?
The catalog isn’t yet large enough to read a top-quartile pattern — comes back as the catalog grows.
How daily view averages have shifted across videos over time, oldest to newest.
The scatter chart works best on a wider screen — visit on desktop to explore cross-video patterns.
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 2 of 22 videos. Concentration like this is common at small catalogs and is descriptive, not a verdict.
What we tested:5 hold here·2 don't·43 inconclusive·→ See what we tested
Today's reading
“High click-through-rate drives video success more than high retention.”
Most of the above is drawn from 10 to 30 videos. That’s enough to see shapes, not enough to call trends reliable.
The Pattern chapter is the most fragile at this scale — treat anything there as a sketch of a trend, not a finding.