How much does [릴레이댄스] TXT(투모로우바이투게더) - 동물원을 빠져나온 퓨마(PUMA) (4K) make on YouTube?

[릴레이댄스] TXT(투모로우바이투게더) - 동물원을 빠져나온 퓨마(PUMA) (4K) · by M2

Estimated lifetime YouTube ad earnings
$4,136
on 2,757,581 views · ~$1.50 creator RPM
Per 1,000 views
$1.50
Per 1M views
$1,500
Recent month
$2

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
10,830
10.83K
Total Estimated Earnings
$16.25
~$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
February 2026
546
546
$0.82
March 2026
1,296
1.30K
$1.94
April 2026
2,217
2.22K
$3.33
May 2026
1,519
1.52K
$2.28
June 2026
1,190
1.19K
$1.78
July 2026
1,379
1.38K
$2.07
August 2026
1,545
1.54K
$2.32
September 2026
1,138
1.14K
$1.71
Total 10,830 $16.25

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.