How much does Don’t Kick The Cake! make on YouTube?

Don’t Kick The Cake! · by Topper Guild

Estimated lifetime YouTube ad earnings
$207,429
on 138,286,255 views · ~$1.50 creator RPM
Per 1,000 views
$1.50
Per 1M views
$1,500
Recent month
$18

Estimated Earnings (Best Estimate)

Single-figure creator earnings using 2026 category-specific RPM data (~$1.50/1,000 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
107,048
107.05K
Total Estimated Earnings
$160.57
~$1.50 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
January 2026
46,727
46.73K
$70.09
February 2026
18,408
18.41K
$27.61
March 2026
6,033
6.03K
$9.05
April 2026
4,963
4.96K
$7.44
May 2026
8,863
8.86K
$13.29
June 2026
6,979
6.98K
$10.47
July 2026
7,211
7.21K
$10.82
August 2026
4,661
4.66K
$6.99
September 2026
3,203
3.20K
$4.80
Total 107,048 $160.57

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.