How much does [MV] SF9 (에스에프나인) _ MAMMA MIA make on YouTube?

[MV] SF9 (에스에프나인) _ MAMMA MIA · by 1theK (원더케이)

Estimated lifetime YouTube ad earnings
$14,345
on 17,931,308 views · ~$0.80 creator RPM
Per 1,000 views
$0.80
Per 1M views
$800
Recent month
$18

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
184,668
184.67K
Total Estimated Earnings
$147.73
~$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
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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
10,945
10.95K
$8.76
March 2026
25,337
25.34K
$20.27
April 2026
25,988
25.99K
$20.79
May 2026
24,730
24.73K
$19.78
June 2026
23,528
23.53K
$18.82
July 2026
22,635
22.64K
$18.11
August 2026
27,296
27.30K
$21.84
September 2026
24,209
24.21K
$19.37
Total 184,668 $147.73

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.