Net Lifestyle

Net Lifestyle

@netlifestyle
UC7icK7VNx5TL8lpI-wWYTLQ Created on YouTube: 04.08.2014 Lifestyle Open on YouTube
First seen in analytics: 09.04.2026
Subscribers
578 000
0 / 30d
Views
154 212 500
+130 647 / 30d
Videos
8 148
0 / 30d
Global Rank
#1,739
Topic Rank
#447
Lifestyle
Est. Monthly Earnings
$195 – $587
Based on 30-day views × topic CPM

Date

Date Subscribers ± Views ± Videos ±
2026-08-30 578 000 — 154 081 853 — 8 148 —
2026-08-31 578 000 0 154 084 473 +2 620 8 148 0
2026-09-02 578 000 0 154 088 901 +4 428 8 148 0
2026-09-04 578 000 0 154 091 009 +2 108 8 148 0
2026-09-05 578 000 0 154 095 687 +4 678 8 148 0
2026-09-06 578 000 0 154 098 456 +2 769 8 148 0
2026-09-07 578 000 0 154 099 489 +1 033 8 148 0
2026-09-08 578 000 0 154 103 471 +3 982 8 148 0
2026-09-11 578 000 0 154 109 528 +6 057 8 148 0
2026-09-12 578 000 0 154 111 577 +2 049 8 148 0
2026-09-13 578 000 0 154 113 688 +2 111 8 148 0
2026-09-17 578 000 0 154 121 945 +8 257 8 148 0
2026-09-18 578 000 0 154 123 677 +1 732 8 148 0
2026-09-23 578 000 0 154 140 441 +16 764 8 148 0
2026-09-24 578 000 0 154 144 031 +3 590 8 148 0
2026-09-27 578 000 0 154 153 563 +9 532 8 148 0
2026-09-28 578 000 0 154 155 253 +1 690 8 148 0
2026-09-30 578 000 0 154 163 399 +8 146 8 148 0
2026-10-01 578 000 0 154 165 638 +2 239 8 148 0
2026-10-03 578 000 0 154 172 151 +6 513 8 148 0
2026-10-04 578 000 0 154 175 672 +3 521 8 148 0
2026-10-05 578 000 0 154 178 456 +2 784 8 148 0
2026-10-07 578 000 0 154 184 160 +5 704 8 148 0
2026-10-08 578 000 0 154 188 520 +4 360 8 148 0
2026-10-09 578 000 0 154 188 763 +243 8 148 0
2026-10-10 578 000 0 154 191 816 +3 053 8 148 0
2026-10-12 578 000 0 154 197 026 +5 210 8 148 0
2026-10-15 578 000 0 154 204 013 +6 987 8 148 0
2026-10-16 578 000 0 154 204 161 +148 8 148 0
2026-10-19 latest 578 000 0 154 212 500 +8 339 8 148 0
Daily Average 0 2 865 0
Weekly Average 0 17 022 0
Last 14 days 0 34 044 0
Last 30 days 0 88 823 0

Charts and Forecast for the Channel Net Lifestyle

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

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