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라온이네하우스 Raonine House
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Views734.6M
Videos537
라온이네하우스 Raonine HousePublished at April 26, 2026 at 11:28 AM0:17
자존심을 건드리자 폭발한 사자#사자에게 먹이주기#밀림의 왕 #참교육 thumbnail

자존심을 건드리자 폭발한 사자#사자에게 먹이주기#밀림의 왕 #참교육

last monthLong-tail
shorts
Published time
April 26, 2026 at 11:28 AM
Duration
0:17
Video type
Pets & Animals
Channel region
Philippines
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
1.1M
Likes
4.4K
Comments
215
Estimated Daily Revenue
$0.39 - $1.57
Estimated Total Revenue
$17.03 - $68.1
RPM Range
$0.02 - $0.06
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
사자 발 위에 고기를 툭 던지고, 또 머리 쪽으로 고기를 던지는 행동에 마음이 상하고 화가 난 사자. 고양잇과 동물들은 매우 예민하고 자존심이 강한데, 저렇게 '물건 던지듯' 먹이를 주는 것은 사자를 자극하는 행동이죠. 사자에게 먹이를 줄때도 애정을 담아서 배려해서 줘야겠네요
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.