How much does [MV] Baek Z Young(백지영) _ Love made me a fool(사랑 앞에서 난 바보가 돼) make on YouTube?

[MV] Baek Z Young(백지영) _ Love made me a fool(사랑 앞에서 난 바보가 돼) · by 1theK (원더케이)

Estimated lifetime YouTube ad earnings
$287
on 191,615 views · ~$1.50 creator RPM
Per 1,000 views
$1.50
Per 1M views
$1,500
Recent month
$1

Estimated Earnings (Best Estimate)

Single-figure creator earnings using 2026 category-specific RPM data (~$1.50/1,000 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
5,997
6.00K
Total Estimated Earnings
$9.00
~$1.50 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
February 2026
323
323
$0.48
March 2026
685
685
$1.03
April 2026
725
725
$1.09
May 2026
862
862
$1.29
June 2026
827
827
$1.24
July 2026
786
786
$1.18
August 2026
760
760
$1.14
September 2026
1,029
1.03K
$1.54
Total 5,997 $9.00

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.