How much does Dash Crew REACTS to my LOVE SONG! make on YouTube?

Dash Crew REACTS to my LOVE SONG! ยท by Dash

Estimated lifetime YouTube ad earnings
$908
on 302,706 views ยท ~$3.00 creator RPM
Per 1,000 views
$3.00
Per 1M views
$3,000
Recent month
$9

Estimated Earnings (Best Estimate)

Single-figure creator earnings using 2026 category-specific RPM data (~$3.00/1,000 views for this video), net of YouTube's 45% share. Music and Shorts monetize 10โ€“30ร— lower than Finance, Tech, and Education. Actual revenue varies with audience geography, advertiser demand, and Premium splits.

Total Views Tracked
24,147
24.15K
Total Estimated Earnings
$72.44
~$3.00 RPM
Avg per Month
$0.00

Peak Performance

๐Ÿ† Best Month -
$0.00
0 views
๐Ÿ“‰ Lowest Month -
$0.00
0 views
๐Ÿ‘๏ธ Most Views -
0

Projections

๐Ÿ”ฎ Next Month Estimate
$0.00
Based on current trend
๐Ÿ“… Annual Projection
$0.00
If current rate continues
๐Ÿ“Š Growth Trend
--
Month-over-month
Export Data

Earnings Trend

Month-over-month estimated earnings

Estimated

๐Ÿ’ก 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
1,774
1.77K
$5.32
March 2026
3,538
3.54K
$10.61
April 2026
4,041
4.04K
$12.12
May 2026
3,129
3.13K
$9.39
June 2026
2,779
2.78K
$8.34
July 2026
3,786
3.79K
$11.36
August 2026
3,565
3.56K
$10.70
September 2026
1,535
1.53K
$4.60
Total 24,147 $72.44

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: ~$1.50โ€“$1.80 / 1,000 views
  • Gaming: ~$3.00 / 1,000 views
  • Education / Science & Tech: ~$7โ€“$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.