Cohort lift on the 2026-W17 batch
6 videos from week 2026-W17 ran 90% above their prior-week median over the last seven days, while the rest of the catalog stayed within its usual band.
Public YouTube analytics dashboard
Viewing this channel as it looked on May 1, 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.
23 days
days tracked
Days tracked
23 videos so far · 891 total views
Cold Testing
A video published in the last 7 days has too few impressions to read click-rate signal — still in early testing.
Recent uploads, last 14d: 14
First-week candidate vs baseline: 2 vs median 3
Recent uploads, last 14d
First-week candidate vs baseline
This week
What's moved in the last 7 days.
Video 12 getting 1.7× more impressions
YouTube has shown Video 12's thumbnail about 1.7× more often in the last 7 days (465) than the prior 7 (267). Click rate stayed within 13% of this video's lifetime rate.
Suggested's first activity on Video 13 on Day 10
Suggested first activated on Video 13 on Day 10, slower than the channel's usual Day 0–0 band across 20 videos.
High likes-to-view ratio on Video 9
On Video 9, combined engagement runs 14.9× the channel median (1 interactions on 11 views, 9.1%). 1 likes drove most of the lift.
Video 3 running above the channel's norm for its age
94 views on Day 17 for Video 3 — 4600% over this channel's typical video at the same age (2 views).
Queued to happen
EMERGING
Browse / Homepage
Across 3 recent days, Browse / Homepage has contributed 11 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 breakdownEMERGING
YouTube Search
Across 3 recent days, YouTube Search has contributed 5 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 breakdownThe Catalog
Which videos are the outliers — notes and lead changes along the bottom.
| Video | Published | Days tracked | Views | Primary traffic source |
|---|---|---|---|---|
| Video 23 | May 1 | 1 | 2 | Channel Page |
| 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 | 8 | 13 | Suggested Videos |
| Video 15 | Apr 23 | 9 | 23 | Suggested Videos |
| Video 14 | Apr 22 | 7 | 13 | Browse / Homepage |
| Video 13 | Apr 21 | 11 | 3 | Suggested Videos |
| Video 12 | Apr 20 | 12 | 49 | Suggested Videos |
| Video 11 | Apr 19 | 13 | 9 | Suggested Videos |
| Video 10 | Apr 18 | 9 | 10 | 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 |
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.
47%of last week's audience came back
53%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 23 days (4 weeks of data).
The Pattern
What repeats across the catalog?
What the top quartile shares
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.
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 2 of 23 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
5 days ago a belief flipped.
“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.