How much does miss A "Touch” M/V make on YouTube?

miss A "Touch” M/V · by missA

Estimated lifetime YouTube ad earnings
$19,581
on 24,476,601 views · ~$0.80 creator RPM
Per 1,000 views
$0.80
Per 1M views
$800
Recent month
$26

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
289,175
289.18K
Total Estimated Earnings
$231.34
~$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
14,631
14.63K
$11.70
March 2026
33,204
33.20K
$26.56
April 2026
35,672
35.67K
$28.54
May 2026
39,423
39.42K
$31.54
June 2026
37,359
37.36K
$29.89
July 2026
38,973
38.97K
$31.18
August 2026
38,835
38.84K
$31.07
September 2026
47,972
47.97K
$38.38
October 2026
3,106
3.11K
$2.48
Total 289,175 $231.34

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.