How much does Song Of Hope (Zwi Do Luga) make on YouTube?

Song Of Hope (Zwi Do Luga) ยท by Newie

Estimated lifetime YouTube ad earnings
$32,158
on 21,438,500 views ยท ~$1.50 creator RPM
Per 1,000 views
$1.50
Per 1M views
$1,500
Recent month
$5,271

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 10โ€“30ร— lower than Finance, Tech, and Education. Actual revenue varies with audience geography, advertiser demand, and Premium splits.

Total Views Tracked
21,083,335
21.08M
Total Estimated Earnings
$31,625.00
~$1.50 RPM
Avg per Month
$0.00

Peak Performance

๐Ÿ† Best Month -
$0.00
0 views
๐Ÿ“‰ Lowest Month -
$0.00
0 views
๐Ÿ‘๏ธ Most Views -
0

Projections

๐Ÿ”ฎ Next Month Estimate
$0.00
Based on current trend
๐Ÿ“… Annual Projection
$0.00
If current rate continues
๐Ÿ“Š Growth Trend
--
Month-over-month
Export Data

Earnings Trend

Month-over-month estimated earnings

Estimated

๐Ÿ’ก 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
April 2026
534,792
534.79K
$802.19
May 2026
4,361,506
4.36M
$6,542.26
June 2026
6,059,876
6.06M
$9,089.81
July 2026
5,242,096
5.24M
$7,863.14
August 2026
3,351,754
3.35M
$5,027.63
September 2026
1,533,311
1.53M
$2,299.97
Total 21,083,335 $31,625.00

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: ~$1.50โ€“$1.80 / 1,000 views
  • Gaming: ~$3.00 / 1,000 views
  • Education / Science & Tech: ~$7โ€“$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.