Shown
24% above the 14-day average.
Open Channel StatsEarly StagePatterns are starting to show, but the sample is still small enough that trends often shift week to week.
20 videos so far · 804 total views
Shown
24% above the 14-day average.
Click rate
0.2 points below the 14-day average.
Views
173% above the 14-day average.
Subscribers
100% below the 14-day average.
Temperature
—
Baseline takes about five weeks to compute.
One real YouTube channel. The unfiltered analytics — wins, flops, quiet weeks, all of it.
20 videos published over 20 days. Not a success story, not a highlight reel — the complete analytics of a real channel, published openly so other creators can see what the numbers actually look like at this stage. The conventional wisdom you've heard about thumbnails, posting cadence, and what makes videos succeed is checked here against the data. Some of it holds. Some of it doesn't.
What's moved in the last 7 days.
This channel is 20 days old. 20 videos published. Currently in the sprouting stage. 804 cumulative views.
Suggested Videos has driven roughly 90% of views over the last 7 days.
Three-day click rate is down 51% on Video 4 and watch time is up 54% versus the prior three days.
First 8 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.
-47%/+283% click-rate / watch split on Video 8
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.
Video 7 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.
-49%/+403% click-rate / watch split on Video 10
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.
Same-day lift across 3 videos
Three or more videos lifting at once on the same day usually points to a same-day distribution moment — a homepage placement, a Suggested cluster, or a search trend reaching the channel. Often resolves on its own once the surface settles; rarely traceable to a single video.
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.
Direct / Unknown
3 views over 2 recent days from Direct / Unknown — typically too thin to call a trend yet. Once it clears the 30-view floor, Direct / Unknown usually surfaces on the traffic breakdown alongside the channel's steadier sources.
Traffic breakdownVideo 14 hits Day 7 in about 1 day. Once it crosses, the first-week view shape becomes readable on the video's placement chart.
About 1 day until Video 7 reaches Day 14, where the two-week arc usually starts being worth comparing against the rest of the catalog.
4 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.
| Video | Published | Days tracked | Views | Primary traffic source |
|---|---|---|---|---|
| Video 20 | Apr 28 | 1 | 3 | Suggested Videos |
| Video 19 | Apr 27 | 1 | 3 | Suggested Videos |
| Video 18 | Apr 26 | 3 | 10 | Suggested Videos |
| Video 17 | Apr 25 | 0 | 0 | (no primary source yet) |
| Video 16 | Apr 24 | 5 | 7 | Suggested Videos |
| Video 15 | Apr 23 | 6 | 20 | 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 | 9 | 7 | Suggested Videos |
| Video 10 | Apr 18 | 9 | 10 | Suggested Videos |
| Video 9 | Apr 17 | 12 | 9 | Suggested Videos |
| Video 8 | Apr 16 | 13 | 80 | Browse / Homepage |
| Video 7 | Apr 15 | 12 | 7 | Suggested Videos |
| Video 6 | Apr 14 | 15 | 26 | Suggested Videos |
| Video 5 | Apr 13 | 16 | 17 | Suggested Videos |
| Video 4 | Apr 12 | 17 | 79 | Suggested Videos |
| Video 3 | Apr 11 | 18 | 410 | 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 20 days (4 weeks of data).
Top 4 countries by lifetime view share.Average watch and net subscribers shown where samples allow.
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 one of 20 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
“Videos 8–10 minutes long perform best for ad revenue and watch time.”
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.