허수아비(scarecrow) banner
허수아비(scarecrow) avatar
허수아비(scarecrow)
@scare_crow_
Subscribers498K
Views340.8M
Videos2.6K
허수아비(scarecrow)Published at May 5, 2026 at 11:01 AM1:18
아빠. 맥북 사줘- 입학할 때 맥북 중간고사 치고나면 PC thumbnail

아빠. 맥북 사줘- 입학할 때 맥북 중간고사 치고나면 PC

last monthLong-tail
맥북사줘스타벅스맥북블루보틀맥북컴퓨터노트북추천
Published time
May 5, 2026 at 11:01 AM
Duration
1:18
Video type
Science & Technology
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
High RPM
This video sits in a relatively high RPM range, suggesting a more monetization-friendly topic.
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
37.3K
Likes
276
Comments
19
Estimated Daily Revenue
$0.07 - $0.43
Estimated Total Revenue
$26.88 - $156.78
RPM Range
$0.72 - $4.2
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
맥북사줘
Video Description
https://www.youtube.com/watch?v=FL2te7KXxJ4&t=4s #아빠맥북사줘 #맥북이좋아요PC가좋아요 #스벅은맥북이지
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: 맥북사줘
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.