Marcus House

Marcus House

@marcushouse
UCBNHHEoiSF8pcLgqLKVugOw Created on YouTube: 17.02.2012 Lifestyle Open on YouTube
First seen in analytics: 21.03.2026
Subscribers
586 000
+3 000 / 30d
Views
159 325 724
+2 444 515 / 30d
Videos
496
+6 / 30d
Global Rank
#1,622
Topic Rank
#437
Lifestyle
Est. Monthly Earnings
$3,666 – $11,000
Based on 30-day views × topic CPM

Date

Date Subscribers ± Views ± Videos ±
2026-07-03 583 000 156 881 209 490
2026-07-04 583 000 0 156 888 527 +7 318 490 0
2026-07-07 583 000 0 157 170 582 +282 055 491 +1
2026-07-08 583 000 0 157 204 209 +33 627 491 0
2026-07-09 583 000 0 157 225 091 +20 882 491 0
2026-07-11 583 000 0 157 244 097 +19 006 491 0
2026-07-12 584 000 +1 000 157 406 385 +162 288 492 +1
2026-07-13 584 000 0 157 542 124 +135 739 492 0
2026-07-14 584 000 0 157 592 322 +50 198 492 0
2026-07-15 584 000 0 157 615 675 +23 353 492 0
2026-07-16 584 000 0 157 625 837 +10 162 492 0
2026-07-17 584 000 0 157 634 731 +8 894 492 0
2026-07-18 584 000 0 157 640 376 +5 645 493 +1
2026-07-19 584 000 0 157 642 052 +1 676 493 0
2026-07-20 584 000 0 157 778 122 +136 070 493 0
2026-07-21 584 000 0 157 790 206 +12 084 493 0
2026-07-22 584 000 0 157 797 653 +7 447 493 0
2026-07-24 583 000 -1 000 157 804 273 +6 620 493 0
2026-07-25 583 000 0 157 807 562 +3 289 493 0
2026-07-26 585 000 +2 000 157 813 973 +6 411 494 +1
2026-07-27 585 000 0 158 301 061 +487 088 494 0
2026-07-28 585 000 0 158 522 910 +221 849 494 0
2026-07-31 585 000 0 158 568 273 +45 363 494 0
2026-08-01 585 000 0 158 572 534 +4 261 494 0
2026-08-02 585 000 0 158 572 534 0 495 +1
2026-08-04 585 000 0 158 909 617 +337 083 495 0
2026-08-05 585 000 0 158 922 015 +12 398 495 0
2026-08-06 585 000 0 158 927 038 +5 023 495 0
2026-08-09 586 000 +1 000 159 105 833 +178 795 496 +1
2026-08-12 latest 586 000 0 159 325 724 +219 891 496 0
Daily Average 67 59 453 0
Weekly Average 467 374 647 1
Last 14 days 1 000 802 814 2
Last 30 days 2 000 1 783 600 4

Charts and Forecast for the Channel Marcus House

About the Channel Growth Forecast Marcus House: The forecast is based on linear regression of historical data and is intended for reference purposes only.

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