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.
눈쟁이
@eyejoker7Subscribers830K
Views443.4M
Videos2.8K
Last updated9 hours ago
눈쟁이Published at March 30, 2026 at 05:30 PM23:08
24시간 게임만 하는 직원 만들기
2 months agoLong-tail
눈쟁전자aiopenaigithub스팀덱
Published time
March 30, 2026 at 05:30 PM
Duration
23:08
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
26.5K
Likes
484
Comments
71
Estimated Daily Revenue
$0.02 - $0.09
Estimated Total Revenue
$19.08 - $111.31
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
눈쟁전자
Video Description
?타임라인
0:00 오프닝
0:54 테스트 러너 구성
2:25 원격 & 러너 세팅
5:00 자동 테스트
16:48 사용후기
20:12 마무리
? 눈쟁전자 커뮤니티 : https://eyejoker.com
? 눈쟁DB : https://eyejokerdb.com/
?? 눈쟁이 디스코드 : https://discord.gg/eyejoker
?️ 컴퓨터를 구매하려면? : https://url.eyejoker.com/Oversystem
? 방송 세팅 문의 : https://url.eyejoker.com/EJsetup
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: 눈쟁전자
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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