How much does I Busted 27 Myths in GTA 5! make on YouTube?

I Busted 27 Myths in GTA 5! ยท by Caylus

Estimated lifetime YouTube ad earnings
$9,906
on 3,302,150 views ยท ~$3.00 creator RPM
Per 1,000 views
$3.00
Per 1M views
$3,000
Recent month
$31

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
81,565
81.56K
Total Estimated Earnings
$244.69
~$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
9,120
9.12K
$27.36
March 2026
10,024
10.02K
$30.07
April 2026
12,313
12.31K
$36.94
May 2026
11,921
11.92K
$35.76
June 2026
9,248
9.25K
$27.74
July 2026
18,687
18.69K
$56.06
August 2026
6,896
6.90K
$20.69
September 2026
3,356
3.36K
$10.07
Total 81,565 $244.69

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.