How much does Seducing sussy impostors in Among Us… make on YouTube?

Seducing sussy impostors in Among Us… · by WILDCAT

Estimated lifetime YouTube ad earnings
$2,310
on 770,061 views · ~$3.00 creator RPM
Per 1,000 views
$3.00
Per 1M views
$3,000
Recent month
$4

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
12,972
12.97K
Total Estimated Earnings
$38.92
~$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
931
931
$2.79
March 2026
1,692
1.69K
$5.08
April 2026
1,799
1.80K
$5.40
May 2026
1,534
1.53K
$4.60
June 2026
1,590
1.59K
$4.77
July 2026
1,524
1.52K
$4.57
August 2026
1,827
1.83K
$5.48
September 2026
1,938
1.94K
$5.81
October 2026
137
137
$0.41
Total 12,972 $38.92

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.