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라온이네하우스 Raonine House
@raoninehouse7608
Subscribers215K
Views703.8M
Videos533
라온이네하우스 Raonine HousePublished at April 21, 2026 at 10:53 PM0:12
양을 사냥하려던 늑대가 화들짝 놀란 이유#늑대#댕댕이#웃긴동물들 thumbnail

양을 사냥하려던 늑대가 화들짝 놀란 이유#늑대#댕댕이#웃긴동물들

last monthLong-tail
shorts
Published time
April 21, 2026 at 10:53 PM
Duration
0:12
Video type
Pets & Animals
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
4.1M
Likes
15.8K
Comments
321
Estimated Daily Revenue
$0.18 - $0.7
Estimated Total Revenue
$98.96 - $395.85
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
-
Video Description
양을 사냥하러 울타리 안으로 들어와 잠든 양에게 다가가는 늑대! 그런데 사냥하려던 순간 놀라고 마는데.. 사실은 양이 아니라 댕댕이가 양털을 뒤집어 쓴거였죠 ㅎㅎ 그래서 순간 놀라는 모습이 너무 재미있는 영상입니다
Related Topics
Continue with closely related videos to judge topic depth and content format.
No topic keyword yet
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.

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.

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.