How much does Recreating ICONIC MEAN GIRLS OUTFITS In Dress To Impress… HAPPY MEAN GIRLS DAY! make on YouTube?

Recreating ICONIC MEAN GIRLS OUTFITS In Dress To Impress… HAPPY MEAN GIRLS DAY! · by Leah Ashe

Estimated lifetime YouTube ad earnings
$337
on 112,337 views · ~$3.00 creator RPM
Per 1,000 views
$3.00
Per 1M views
$3,000
Recent month
$0

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
424
424
Total Estimated Earnings
$1.27
~$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
33
33
$0.10
March 2026
70
70
$0.21
April 2026
83
83
$0.25
May 2026
55
55
$0.17
June 2026
38
38
$0.11
July 2026
49
49
$0.15
August 2026
55
55
$0.17
September 2026
41
41
$0.12
Total 424 $1.27

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.