Video 3 adds to its lead
Video 3 has reached 250 views — after 19 days — extending what has been the channel's largest contributor to date.
Viewing this channel as it looked on May 5, 2026. 0 days before the most recent data.
Open Channel Stats
27 videos. 8 subscribers. 932 lifetime views.
+1 subscribers over the last 7 days
What's moved in the last 7 days.
Video 3 has reached 250 views — after 19 days — extending what has been the channel's largest contributor to date.
YouTube has shown Video 12's thumbnail about 9.5× more often in the last 7 days (761) than the prior 7 (80). Click rate stayed within 1% of this video's lifetime rate.
The earlier 12 videos on this channel averaged 2.2% click rate; the newer 13 are averaging 8.4%.
Video 24 had a slow-burn distribution: 64% of views came after Day 3.
Video 2 arrived 1 day after the prior video; both saw Day-1 views above this channel's typical range (10.5× and 4.5× the median excluding each other, which sits at 2.0).
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 breakdownYouTube Search
2 views over 2 recent days from YouTube Search — typically too thin to call a trend yet. Once it clears the 30-view floor, YouTube Search usually surfaces on the traffic breakdown alongside the channel's steadier sources.
Traffic breakdownWhich videos are the outliers?
| Video | Published | Days tracked | Views | Primary traffic source |
|---|---|---|---|---|
| Video 27 | May 5 | 1 | 2 | Playlist |
| Video 26 | May 4 | 0 | 0 | (no primary source yet) |
| Video 25 | May 3 | 1 | 2 | Suggested Videos |
| Video 24 | May 2 | 4 | 11 | Browse / Homepage |
| Video 23 | May 1 | 3 | 3 | YouTube Search |
| Video 22 | Apr 30 | 1 | 1 | Suggested Videos |
| Video 21 | Apr 29 | 1 | 1 | Channel Page |
| Video 20 | Apr 28 | 6 | 4 | Suggested Videos |
| Video 19 | Apr 27 | 1 | 3 | Suggested Videos |
| Video 18 | Apr 26 | 9 | 15 | Browse / Homepage |
| Video 17 | Apr 25 | 0 | 0 | (no primary source yet) |
| Video 16 | Apr 24 | 12 | 14 | Suggested Videos |
| Video 15 | Apr 23 | 11 | 24 | Suggested Videos |
| Video 14 | Apr 22 | 11 | 14 | Browse / Homepage |
| Video 13 | Apr 21 | 12 | 4 | Suggested Videos |
| Video 12 | Apr 20 | 16 | 67 | Suggested Videos |
| Video 11 | Apr 19 | 13 | 9 | Suggested Videos |
| Video 10 | Apr 18 | 17 | 11 | Suggested Videos |
| Video 9 | Apr 17 | 15 | 11 | Suggested Videos |
| Video 8 | Apr 16 | 16 | 85 | Browse / Homepage |
| Video 7 | Apr 15 | 17 | 8 | Suggested Videos |
| Video 6 | Apr 14 | 18 | 28 | Suggested Videos |
| Video 5 | Apr 13 | 19 | 23 | Suggested Videos |
| Video 4 | Apr 12 | 20 | 90 | 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?
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 last week’s traffic-source / country combinations also delivered views this week, versus how many are new. This is a mix-stability reading — not a count of viewers who came back.
Average daily views by day of week, trailing 27 days (5 weeks of data).
What repeats across the catalog?
A wide retention spread
Top-quartile retention sits at 8075.0% versus 1255.0% for the bottom quartile — about 6.4× apart across 25 videos.
A wide split between retention tiers often reflects different formats or topics in the catalog — some videos are holding attention, others aren't. Watch the per-video retention list for which sit where.
Top-views videos and top retention sit apart
None of the 6 top-views videos with tracked retention sit in this channel's top retention quartile (top 6 of 25).
Views and retention can move together when the catalog is consistent in topic or format, or apart when different videos draw different audiences — the overlap names what is, not why.
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 27 videos. Concentration like this is common at small catalogs and is descriptive, not a verdict.
Common advice checked here:6 hold here·2 don't·42 inconclusive·→ See the full list
Today's reading
“Videos with growing Search-source share over time become long-term assets.”
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.