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.
참사이다
@참-사이다Subscribers105K
Views1.1B
Videos772
Last updated5 hours ago
참사이다Published at May 1, 2026 at 07:20 AM0:18
'아저씨! 우리 가야죠!!' 술먹은 무임승차 빌런을 깔끔히 정리하는..
last monthLong-tail
'아저씨! 우리 가야죠!!' 술먹은 무임승차 빌런을 깔끔히 정리하는..shorts
Published time
May 1, 2026 at 07:20 AM
Duration
0:18
Video type
Autos & Vehicles
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
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
708.4K
Likes
3.7K
Comments
112
Estimated Daily Revenue
$0.1 - $0.39
Estimated Total Revenue
$17 - $68.01
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
'아저씨! 우리 가야죠!!' 술먹은 무임승차 빌런을 깔끔히 정리하는..
Video Description
? 영상 내용 요약
술먹고 버스에 무임승차를 하던 빌런으로 인해 버스가 출발이 지연되자, 시민이 나섭니다. 시민의 기세에 눌린 빌런은 미안하다며 버스에서 내리고 상황은 깔끔히 정리가 됩니다.
#참교육 #버스 #빌런 #무임승차 #한문철
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: '아저씨! 우리 가야죠!!' 술먹은 무임승차 빌런을 깔끔히 정리하는..
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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