How much does BABYMONSTER - '춤 (CHOOM)' M/V make on YouTube?

BABYMONSTER - '춤 (CHOOM)' M/V · by BABYMONSTER

Estimated lifetime YouTube ad earnings
$162,695
on 203,369,245 views · ~$0.80 creator RPM
Per 1,000 views
$0.80
Per 1M views
$800
Recent month
$26,789

Estimated Earnings (Best Estimate)

Single-figure creator earnings using 2026 category-specific RPM data (~$0.80/1,000 views for this video), net of YouTube's 45% share. Music and Shorts monetize 10–30× lower than Finance, Tech, and Education. Actual revenue varies with audience geography, advertiser demand, and Premium splits.

Total Views Tracked
200,914,966
200.91M
Total Estimated Earnings
$160,731.97
~$0.80 RPM
Avg per Month
$0.00

Peak Performance

🏆 Best Month -
$0.00
0 views
📉 Lowest Month -
$0.00
0 views
👁️ Most Views -
0

Projections

🔮 Next Month Estimate
$0.00
Based on current trend
📅 Annual Projection
$0.00
If current rate continues
📊 Growth Trend
--
Month-over-month
Export Data

Earnings Trend

Month-over-month estimated earnings

Estimated

💡 Future Feature: Full historical data (6+ months) will be available with a premium subscription. Currently showing all available data.

Monthly Breakdown

Based on view count changes between data points

Month Views Gained Estimated Earnings Growth
May 2026
136,112,588
136.11M
$108,890.07
June 2026
20,936,897
20.94M
$16,749.52
July 2026
15,404,887
15.40M
$12,323.91
August 2026
10,518,608
10.52M
$8,414.89
September 2026
10,996,510
11.00M
$8,797.21
October 2026
6,945,476
6.95M
$5,556.38
Total 200,914,966 $160,731.97

About These Estimates

Earnings use 2026 creator RPM data (revenue per 1,000 views, net of YouTube's 45% share). We blend per-category and Shorts-specific rates from public industry reporting.

Example net RPMs we apply:

  • Music: ~$0.80 / 1,000 views
  • People & Blogs: ~$1.20 / 1,000 views
  • Entertainment / Film: ~$1.50–$1.80 / 1,000 views
  • Gaming: ~$3.00 / 1,000 views
  • Education / Science & Tech: ~$7–$8 / 1,000 views
  • YouTube Shorts: ~$0.05 / 1,000 views

Real-world earnings vary with viewer geography, ad demand, audience demographics, YouTube Premium splits, and seasonality.