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.
겜브링 GGAM BRING
@ggambringSubscribers3M
Views3.1B
Videos3.7K
Last updated12 hours ago
겜브링 GGAM BRINGPublished at May 3, 2026 at 08:00 AM11:06
좋아요 10,000개 달성! 전투식량 3편으로 돌아왔습니다! 이거 원한 거 맞으시죠~?!!
last monthLong-tail
병맛게임겜브링ggambringsandbox network샌드박스000
Published time
May 3, 2026 at 08:00 AM
Duration
11:06
Video type
Gaming
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
91.3K
Likes
3.8K
Comments
250
Estimated Daily Revenue
$0.18 - $1.05
Estimated Total Revenue
$59.37 - $345.27
RPM Range
$0.65 - $3.78
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
병맛게임
Video Description
#겜브링 #전투식량
댓글로 참교육해야겠다는 나쁜말은 ㄴㄴ
【팬아트 및 팬레터!】 ► [email protected]
🎵Music provided by 브금대통령
🎵Track : 보스 레이드 - https://www.youtube.com/watch?v=t06uXc-Yf4I
🎵Track : OMG - https://www.youtube.com/watch?v=NMDrzm5gPHE
🎵Track : Countdown 2024 - https://www.youtube.com/watch?v=DsD4nmv3CUg
Related Topics
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Topic: 병맛게임
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?
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