무비북스 avatar
무비북스
@moviebooks2-0
Subscribers85.5K
Views495.9M
Videos507
무비북스Published at May 13, 2026 at 08:01 PM0:50
18년 동안 먹은 약을 속여온 엄마 thumbnail

18년 동안 먹은 약을 속여온 엄마

23 days agoLong-tail
shorts
Published time
May 13, 2026 at 08:01 PM
Duration
0:50
Video type
Education
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
7.4K
Likes
58
Comments
1
Estimated Daily Revenue
$0.02 - $0.08
Estimated Total Revenue
$0.18 - $0.71
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
런 (2020) 클로이는 장애로 인해 휠체어에서 생활한다. 클로이의 엄마 다이앤은 거동이 불편한 클로이가 긍정적으로 살아 가도록 돕는 헌신적인 엄마의 모습을 하고 있지만 클로이는 웬지 엄마의 돌봄으로부터 자유로워지고 싶어 한다. 어느 날, 어떤 물건을 발견 하고 엄마의 숨겨진 비밀도 알게 된다.
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.