How much does Playing as 67 BABY To Troll My Friends in Minecraft… make on YouTube?

Playing as 67 BABY To Troll My Friends in Minecraft… · by Dash

Estimated lifetime YouTube ad earnings
$809
on 269,773 views · ~$3.00 creator RPM
Per 1,000 views
$3.00
Per 1M views
$3,000
Recent month
$7

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 10–30× lower than Finance, Tech, and Education. Actual revenue varies with audience geography, advertiser demand, and Premium splits.

Total Views Tracked
17,563
17.56K
Total Estimated Earnings
$52.69
~$3.00 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
1,461
1.46K
$4.38
March 2026
2,271
2.27K
$6.81
April 2026
2,328
2.33K
$6.98
May 2026
4,002
4.00K
$12.01
June 2026
2,246
2.25K
$6.74
July 2026
2,752
2.75K
$8.26
August 2026
2,087
2.09K
$6.26
September 2026
416
416
$1.25
Total 17,563 $52.69

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: ~$1.50–$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.