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.
허수아비(scarecrow)
@scare_crow_Subscribers498K
Views340.7M
Videos2.6K
Last updated19 hours ago
허수아비(scarecrow)Published at May 5, 2026 at 02:27 PM1:05
유명한 가게에서 컴 샀는데, CPU 정품 쿨러를 빼돌리고 안주네요
last monthLong-tail
컴퓨터사기컴퓨터부품빼돌리기컴퓨터출장사기컴퓨터수리사기믿을만한컴퓨터가게cpu
Published time
May 5, 2026 at 02:27 PM
Duration
1:05
Video type
Science & Technology
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
119.4K
Likes
1K
Comments
215
Estimated Daily Revenue
$0.61 - $3.56
Estimated Total Revenue
$85.97 - $501.47
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
컴퓨터사기
Video Description
https://www.youtube.com/watch?v=k92z-4xIrF4&t=1047s
#컴퓨터사기 #컴퓨터부품바꾸기 #장사가힘든이유
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: 컴퓨터사기
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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