What can you learn from this video analytics page?
This page shows views, likes, comments, RPM and revenue estimates, publish timing, topic tags, related videos, and the broader channel context behind the video.
アホの証明
@ahonoshomeiSubscribers50.3K
Views1.2B
Videos432
Last updated8 days ago
アホの証明Published at May 16, 2026 at 11:02 AM0:30
「開けたら人がいる」が結局一番怖い説! #水曜日のダウンタウン #開けたら人がいる #ドッキリ #検証企画
28 days agoLong-tail
「開けたら人がいる」が結局一番怖い説! #水曜日のダウンタウン #開けたら人がいる #ドッキリ #検証企画shorts
Published time
May 16, 2026 at 11:02 AM
Duration
0:30
Video type
Comedy Movies
Channel region
Japan
Publish Timing Insight
Not enough timing data
This channel still lacks enough historical upload timing data. Let the channel accumulate more snapshots before evaluating the best timing.
Monetization Insight
No clear monetization tags yet
Focus on view growth, engagement quality, and topic competition to judge monetization potential.
Action Suggestion
Watch for sustained growth
The basic conditions are already in place. Keep watching 7-day views and revenue before deciding whether this topic should become a series.
Views
215K
Likes
433
Comments
20
Estimated Daily Revenue
$0.16 - $0.65
Estimated Total Revenue
$5.16 - $20.64
RPM Range
$0.02 - $0.1
1D Views Gain
0
7D Views Gain
0
1D Likes Gain
0
7D Likes Gain
0
1D Comments Gain
0
7D Comments Gain
0
Velocity Score
0%
Topic Cluster
「開けたら人がいる」が結局一番怖い説! #水曜日のダウンタウン #開けたら人がいる #ドッキリ #検証企画
Video Description
水曜日のダウンタウンの名物説「開けたら人がいる」が結局一番怖い説を検証！ドアを開けた瞬間の予想外の恐怖とリアクションに注目。
#怖い説 #爆笑動画 #お笑い
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: 「開けたら人がいる」が結局一番怖い説! #水曜日のダウンタウン #開けたら人がいる #ドッキリ #検証企画
Not enough related-topic video data yet.
Video FAQs
These FAQs clarify what this video page measures, why revenue is estimated, and how to use the page for content research.
Why are RPM and revenue numbers estimates?
Actual earnings depend on monetized playbacks, audience geography, seasonality, advertiser demand, and monetization status. CloutOrbit provides directional estimates for benchmarking, not exact payouts.
How should you use this page for content research?
Compare timing, topic tags, monetization signals, and adjacent videos from the same channel to spot formats, themes, and publishing patterns worth testing.
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