백종원 PAIK JONG WON banner
백종원 PAIK JONG WON avatar
백종원 PAIK JONG WON
@paik_jongwon
Subscribers6M
Views1.1B
Videos610
백종원 PAIK JONG WONPublished at September 25, 2025 at 04:00 PM1:09
인생 2막, 웍에 불 켰습니다 thumbnail

인생 2막, 웍에 불 켰습니다

8 months agoLong-tail
홍콩반점속초교동맛집속초맛집
Published time
September 25, 2025 at 04:00 PM
Duration
1:09
Video type
People & Blogs
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
33.3K
Likes
314
Comments
-
Estimated Daily Revenue
-
Estimated Total Revenue
$23.99 - $139.91
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
홍콩반점
Video Description
?홍콩반점0410 속초교동점 - 주소 : 강원 속초시 동해대로 4320 103호 ※ 본 영상의 점주님들을 향한 억측, 비방 등 악의적인 2차 활용은 초상권 및 저작권 침해에 해당하여 제재를 받을 수 있음을 알려드립니다.
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: 홍콩반점
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.