Shown
74% below the 14-day average.
Public YouTube analytics dashboard
Viewing this channel as it looked on Apr 21, 2026. 7 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.
13 daysdays tracked
13 videos so far · 470 total views
Click rate
0.1 points above the 14-day average.
Views
36% below the 14-day average.
Subscribers
100% below the 14-day average.
Temperature
—
Baseline takes about five weeks to compute.
This week
What's moved in the last 7 days.
This channel is 13 days old. 13 videos published. Currently in the seedling stage. 470 cumulative views.
Suggested Videos has driven roughly 72% of views over the last 7 days.
8
subscribers
First 8 subscribers on a daily publishing pace
A week later, this still holds: On a daily publishing cadence, this channel has earned its first 8 subscribers — 6 through 3 videos, 2 from the channel page.
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.
Also nearby
Engagement
Click rate +197%, impressions -44% on Video 1
Click rate rising while impressions fall is usually a sign the impression surface narrowed — fewer thumbnails shown, the ones shown landing better with whoever's seeing them. A common shape after a recommendation surface tightens.
Traffic
Suggested Videos share rose 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.
Engagement
Click rate +57%, impressions -87% on Video 6
Click rate rising while impressions fall is usually a sign the impression surface narrowed — fewer thumbnails shown, the ones shown landing better with whoever's seeing them. A common shape after a recommendation surface tightens.
Traffic
A video getting Suggested traffic
Suggested Videos is YouTube matching this video to viewers who watched something similar. For newer channels, it's often where early traction shows up before Browse.
Momentum
Adjacent-video lift around Video 2
When adjacent videos both land above the channel's typical Day-1, it often correlates with a topic or series resonating — though the proximity alone isn't proof that one helped the other.
Momentum
Video 3 and its neighbor both above typical Day-1
When adjacent videos both land above the channel's typical Day-1, it often correlates with a topic or series resonating — though the proximity alone isn't proof that one helped the other.
Queued to happen
EMERGING
Other YouTube
3 views over 2 recent days from Other YouTube — typically too thin to call a trend yet. Once it clears the 30-view floor, Other YouTube usually surfaces on the traffic breakdown alongside the channel's steadier sources.
Traffic breakdownAPPROACHING SPROUTING
0MORE VIDEOS
About 1 more day of continued pace would typically land this channel in the sprouting stage (currently 0 videos and 0 days short). The Pattern chapter's cross-video scatter replaces the seedling placeholder, and cross-video detectors (relative outlier, engagement divergence) start being eligible to fire.
DAY 7 APPROACHING
About 1 day until Video 7 reaches Day 7, where the first-week view shape usually starts being worth comparing against the rest of the catalog.
Over the next several days, 4 more videos reach Day 7 — typically the point where same-age first-week comparisons line up on this channel's placement chart.
The Catalog
Which videos are the outliers — notes and lead changes along the bottom.
13 videos in 13 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 13 | Apr 21 | 1 | 1 | Channel Page |
| Video 12 | Apr 20 | 2 | 4 | Suggested Videos |
| Video 11 | Apr 19 | 2 | 5 | Suggested Videos |
| Video 10 | Apr 18 | 3 | 8 | Suggested Videos |
| Video 9 | Apr 17 | 5 | 4 | Suggested Videos |
| Video 8 | Apr 16 | 6 | 62 | Browse / Homepage |
| Video 7 | Apr 15 | 7 | 5 | Suggested Videos |
| Video 6 | Apr 14 | 7 | 22 | Suggested Videos |
| Video 5 | Apr 13 | 8 | 3 | Suggested Videos |
| Video 4 | Apr 12 | 10 | 42 | Suggested Videos |
| Video 3 | Apr 11 | 11 | 228 | Suggested Videos |
| Video 2 | Apr 10 | 12 | 62 | Suggested Videos |
| Video 1 | Apr 9 | 12 | 24 | Suggested Videos |
The Audience
Who is finding this channel?
Discovery phase: Suggested for Viewers — see Traffic.
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.
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.
32%of last week's audience came back
68%of this week's audience is new
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
Average daily views by day of week, trailing 13 days (3 weeks of data).
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.
13 of 20 videos 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.
Half of this channel's subscribers came from one of 13 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
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.