How much does TWS - OVERDRIVE (Lyrics) make on YouTube?

TWS - OVERDRIVE (Lyrics) ยท by 7clouds K-pop

Estimated lifetime YouTube ad earnings
$140
on 116,499 views ยท ~$1.20 creator RPM
Per 1,000 views
$1.20
Per 1M views
$1,200
Recent month
$15

Estimated Earnings (Best Estimate)

Single-figure creator earnings using 2026 category-specific RPM data (~$1.20/1,000 views for this video), net of YouTube's 45% share. Music and Shorts monetize 10โ€“30ร— lower than Finance, Tech, and Education. Actual revenue varies with audience geography, advertiser demand, and Premium splits.

Total Views Tracked
99,195
99.19K
Total Estimated Earnings
$119.03
~$1.20 RPM
Avg per Month
$0.00

Peak Performance

๐Ÿ† Best Month -
$0.00
0 views
๐Ÿ“‰ Lowest Month -
$0.00
0 views
๐Ÿ‘๏ธ Most Views -
0

Projections

๐Ÿ”ฎ Next Month Estimate
$0.00
Based on current trend
๐Ÿ“… Annual Projection
$0.00
If current rate continues
๐Ÿ“Š Growth Trend
--
Month-over-month
Export Data

Earnings Trend

Month-over-month estimated earnings

Estimated

๐Ÿ’ก 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
February 2026
9,651
9.65K
$11.58
March 2026
21,828
21.83K
$26.19
April 2026
19,666
19.67K
$23.60
May 2026
17,733
17.73K
$21.28
June 2026
10,832
10.83K
$13.00
July 2026
8,475
8.47K
$10.17
August 2026
6,910
6.91K
$8.29
September 2026
4,100
4.10K
$4.92
Total 99,195 $119.03

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: ~$1.50โ€“$1.80 / 1,000 views
  • Gaming: ~$3.00 / 1,000 views
  • Education / Science & Tech: ~$7โ€“$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.