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라온이네하우스 Raonine House
@raoninehouse7608
Subscribers217K
Views707.2M
Videos533
라온이네하우스 Raonine HousePublished at May 13, 2026 at 09:24 PM0:14
대형견에게 한판붙자는 치와와 문열어줬더니#웃긴동물#치와와 #아메리칸 불리 #대형견 thumbnail

대형견에게 한판붙자는 치와와 문열어줬더니#웃긴동물#치와와 #아메리칸 불리 #대형견

23 days agoLong-tail
shorts
Published time
May 13, 2026 at 09:24 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
166.5K
Likes
842
Comments
23
Estimated Daily Revenue
$1.15 - $4.59
Estimated Total Revenue
$4 - $15.99
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
대형견에게 유리문 사이에 두고 짖어대는 치와와 주인이 문을 열어줬더니 바로 태새전환하는 치와와의 반응이 너무 귀엽고 웃긴 영상입니다 ㅎㅎ
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.