How much does [MV] 9MUSES(나인뮤지스) _ Wild(와일드) make on YouTube?

[MV] 9MUSES(나인뮤지스) _ Wild(와일드) · by 1theK (원더케이)

Estimated lifetime YouTube ad earnings
$15,015
on 18,768,225 views · ~$0.80 creator RPM
Per 1,000 views
$0.80
Per 1M views
$800
Recent month
$58

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
575,387
575.39K
Total Estimated Earnings
$460.31
~$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
33,034
33.03K
$26.43
March 2026
75,682
75.68K
$60.55
April 2026
76,039
76.04K
$60.83
May 2026
72,443
72.44K
$57.95
June 2026
65,511
65.51K
$52.41
July 2026
70,264
70.26K
$56.21
August 2026
90,999
91.00K
$72.80
September 2026
91,415
91.42K
$73.13
Total 575,387 $460.31

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.