How much does Death Proof (2007) TRAILER make on YouTube?

Death Proof (2007) TRAILER ยท by willy weber

Estimated lifetime YouTube ad earnings
$1,431
on 795,154 views ยท ~$1.80 creator RPM
Per 1,000 views
$1.80
Per 1M views
$1,800
Recent month
$11

Estimated Earnings (Best Estimate)

Single-figure creator earnings using 2026 category-specific RPM data (~$1.80/1,000 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
47,095
47.09K
Total Estimated Earnings
$84.77
~$1.80 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
2,442
2.44K
$4.40
March 2026
5,775
5.78K
$10.40
April 2026
15,663
15.66K
$28.19
May 2026
5,376
5.38K
$9.68
June 2026
4,136
4.14K
$7.44
July 2026
5,028
5.03K
$9.05
August 2026
5,308
5.31K
$9.55
September 2026
3,367
3.37K
$6.06
Total 47,095 $84.77

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.