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.
일류
@일류Subscribers241K
Views690.8M
Videos2.6K
Last updated12 hours ago
일류Published at June 1, 2026 at 10:05 PM1:13
반복되는 한화 폭발 사고에 분노 삼킨 오대영의 일침 #오대영 #한화 #한화에어로 공장
4 days agoPeak window
반복되는 한화 폭발 사고에 분노 삼킨 오대영의 일침 #오대영 #한화 #한화에어로 공장
Published time
June 1, 2026 at 10:05 PM
Duration
1:13
Video type
News & Politics
Channel region
South Korea
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
High RPM
This video sits in a relatively high RPM range, suggesting a more monetization-friendly topic.
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
314.7K
Likes
26.6K
Comments
704
Estimated Daily Revenue
-
Estimated Total Revenue
$226.6 - $1.3K
RPM Range
$0.72 - $4.2
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
반복되는 한화 폭발 사고에 분노 삼킨 오대영의 일침 #오대영 #한화 #한화에어로 공장
Video Description
✅본 영상의 풀버전은
👉 JTBC News[뉴스룸]
[또 되풀이한 '공허한 다짐' ]
2026년 06월 01일 영상에서
시청하실 수 있습니다
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: 반복되는 한화 폭발 사고에 분노 삼킨 오대영의 일침 #오대영 #한화 #한화에어로 공장
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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