How much does 스피카.S (SPICA.S) - 남주긴 아까워? (Give Your Love) MV make on YouTube?

스피카.S (SPICA.S) - 남주긴 아까워? (Give Your Love) MV · by STONE MUSIC

Estimated lifetime YouTube ad earnings
$1,341
on 1,676,111 views · ~$0.80 creator RPM
Per 1,000 views
$0.80
Per 1M views
$800
Recent month
$3

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
25,329
25.33K
Total Estimated Earnings
$20.26
~$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
February 2026
1,648
1.65K
$1.32
March 2026
3,287
3.29K
$2.63
April 2026
3,361
3.36K
$2.69
May 2026
3,395
3.40K
$2.72
June 2026
3,320
3.32K
$2.66
July 2026
3,969
3.97K
$3.18
August 2026
4,195
4.20K
$3.36
September 2026
2,154
2.15K
$1.72
Total 25,329 $20.26

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.