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.
김종국 GYM JONG KOOK
@gymjongkookSubscribers3.2M
Views767.7M
Videos725
Last updated8 hours ago
김종국 GYM JONG KOOKPublished at May 23, 2026 at 08:45 PM0:18
창원 출신이라는 하하를 믿을 수 없는 원희 ㅋㅋ #김종국 #짐종국 #아일릿
14 days agoActive window
창원 출신이라는 하하를 믿을 수 없는 원희 ㅋㅋ #김종국 #짐종국 #아일릿shorts
Published time
May 23, 2026 at 08:45 PM
Duration
0:18
Video type
Sports
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
107.2K
Likes
489
Comments
12
Estimated Daily Revenue
$0.01 - $0.02
Estimated Total Revenue
$2.57 - $10.29
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
창원 출신이라는 하하를 믿을 수 없는 원희 ㅋㅋ #김종국 #짐종국 #아일릿
Video Description
No video description data yet.
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: 창원 출신이라는 하하를 믿을 수 없는 원희 ㅋㅋ #김종국 #짐종국 #아일릿
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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