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라온이네하우스 Raonine House
@raoninehouse7608
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Views728.5M
Videos537
라온이네하우스 Raonine HousePublished at May 8, 2026 at 06:19 PM0:14
고양이를 욕조에 빠뜨린 리트리버의최후#고등어태비#웃긴동물#물싫어하는 고양이 thumbnail

고양이를 욕조에 빠뜨린 리트리버의최후#고등어태비#웃긴동물#물싫어하는 고양이

last monthLong-tail
shorts
Published time
May 8, 2026 at 06:19 PM
Duration
0:14
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
121.9K
Likes
614
Comments
25
Estimated Daily Revenue
$0.04 - $0.14
Estimated Total Revenue
$2.92 - $11.7
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
고양이한테 평소 당하기만 하던 리트리버는 욕조에서 오리 장난감을 꺼내려던 고양이에게 장난을 치는데.. 물에 빠져버린 고양이는 바로 리트리버에게 냥펀치를 날리는 귀엽고 재미있는 영상이네요
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.