A video getting Suggested traffic
A video received 11 views from Suggested Videos on May 2, 2026.
Viewing this channel as it looked on May 2, 2026. 1 day 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.
Days tracked
24 videos so far · 903 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
First-week candidate vs baseline
What's moved in the last 7 days.
A video received 11 views from Suggested Videos on May 2, 2026.
Over the last 7 days, Video 12 drew 688 impressions versus 267 the prior 7 — about 2.6× — with click rate holding within 8% of its lifetime average.
For Video 3, traffic from Suggested Videos moved from 93% to 99% of views (+6.5 points).
On Video 13, Suggested took 10 days to activate — outside the channel's typical Day 0–0 band (20 videos).
Video 9 gathered 1 combined likes, comments, and shares on 11 views (9.1%) — about 14.9× this channel's median engagement rate, led by 1 likes.
Channel Page
3 views over 3 recent days from Channel Page — typically too thin to call a trend yet. Once it clears the 30-view floor, Channel Page usually surfaces on the traffic breakdown alongside the channel's steadier sources.
Traffic breakdownYouTube Search
YouTube Search has sent 5 views across 3 recent days on this channel. Once its running total clears the 30-view reporting floor, YouTube Search typically appears on the traffic breakdown as its own row.
Traffic breakdownWhich videos are the outliers — notes and lead changes along the bottom.
| Video | Published | Days tracked | Views | Primary traffic source |
|---|---|---|---|---|
| Video 24 | May 2 | 1 | 1 | YouTube Search |
| Video 23 | May 1 | 1 | 2 | YouTube Search |
| 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 | 11 | 14 | Browse / Homepage |
| Video 13 | Apr 21 | 12 | 4 | Suggested Videos |
| Video 12 | Apr 20 | 13 | 58 | 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 |
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 24 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 24 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.