sequence

sequence

YouTube @sequence1 Entertainment 📍 New Zealand
Subscribers
2.24M
🔥 Buzz rank
#593 ▼27
Total Views
688.84M
Videos
35
Channel age
11 yrs
Est. monthly earnings
$49.4K – $95.4K
📊 Content format · share of recent views
5%
▶️ 95%
⚡ Shorts 5%  ·  ▶️ Long-form 95% — brands place & price integrations differently across the two.
How we estimate
~20.14M recent monthly views × an estimated ad RPM of $2.58–$4.97 per 1,000 views — adjusted for Entertainment content and a NZ audience. About 5% of recent views are Shorts, valued separately at the much lower Shorts ad rate. Yearly ≈ $593.1K – $1.14M. Excludes sponsorships, memberships & merch. Full methodology →

Known for

▶️ Featured Video

167.63M views

📈 Performance

Typical video
5.49M–21.18M views
Median 10.39M — the reliable floor a brand can expect, not just the headline average.
Upload rhythm
0.1× / week
Most active on Thursdays — consistent output keeps an engaged, sponsor-ready audience.
20.14M
Avg views / video
132.3K
Avg likes
2.4K
Avg comments
0.67%
Engagement rate
0.1
Uploads / week
19.68M
Lifetime avg / video
308
Views / subscriber
5%
Shorts (recent views)
Engagement rate = (likes + comments) ÷ views across recent videos.

💡 Did you know?

🗓️Joined YouTube in 2015 — 11 years ago.
🏆Ranked #793 among all influencers on SocialDB.
🎯Top Entertainment influencer — #95 in the niche.
👁️Averages 20.14M views per video.
📤Posts about 0.1× per week.
💬0.67% engagement rate.
🚀Gained 10K subscribers in the last 7 days.
📱5% of recent uploads are Shorts.

🛡️ Audience credibility

46/100 Fair
  • Est. 68% real, active audience · Medium fake-follower risk.
  • Views far exceed subscriber count — strong reach beyond their core base.
  • 0.67% engagement — below the ~2% typical for this size.
Est. authentic audience
68%
Fake-follower risk
Medium

Heuristic estimate from view-through, engagement vs size and recent growth — a screening signal, not a guarantee.

👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a planning estimate, not connected analytics.

Gender split
Male 51% Female 49%
Age · peak 18-24
13-177%
18-2431%
25-3430%
35-4420%
45+12%
Top geographies
  • New Zealand52%
  • United States14%
  • United Kingdom6%
  • India5%
Likely interests
EntertainmentLifestyleTrending

💚 Brand affinity

Estimated

Brands sequence's audience is most likely to respond to — from detected sponsorships in this niche.

Keeps Patreon Amazon Affiliate Epidemic Sound Shopify AG1 Surfshark NordVPN Incogni Robinhood

About

I make animations based on video games :D

📸 Gallery

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