Ryan Shaw

Ryan Shaw

YouTube @ryanshawtech Lifestyle (sociology) 📍 United States
Subscribers
333K
Total Views
145.36M
Videos
1.2K
Channel age
6 yrs
Est. monthly earnings
$6.1K – $11.8K
📊 Content format · share of recent views
⚡ 28%
▶️ 72%
⚡ Shorts 28%  ·  ▶️ Long-form 72% — brands place & price integrations differently across the two.
How we estimate
~2.19M recent monthly views × an estimated ad RPM of $3.85–$7.43 per 1,000 views — adjusted for Lifestyle (sociology) content and a US audience. About 28% of recent views are Shorts, valued separately at the much lower Shorts ad rate. Yearly ≈ $73.1K – $141.3K. Excludes sponsorships, memberships & merch. Full methodology →

Known for

▶️ Featured Video

219K views

📈 Performance

Typical video
6.1K–76K views
Median 12.2K — the reliable floor a brand can expect, not just the headline average.
Upload rhythm
11.9× / week
Most active on Tuesdays — consistent output keeps an engaged, sponsor-ready audience.
43K
Avg views / video
1.1K
Avg likes
88
Avg comments
2.84%
Engagement rate
11.9
Uploads / week
122K
Lifetime avg / video
437
Views / subscriber
28%
Shorts (recent views)
Engagement rate = (likes + comments) ÷ views across recent videos.

💡 Did you know?

🗓️Joined YouTube in 2019 — 6 years ago.
🏆Ranked #2,969 among all influencers on SocialDB.
🎯Top Lifestyle (sociology) influencer — #485 in the niche.
👁️Averages 43K views per video.
📤Posts about 11.9× per week.
💬2.84% engagement rate.
📱28% of recent uploads are Shorts.
🏅Earned the Silver Play Button for passing 100K subscribers.

🛡️ Audience credibility

76/100 Good
  • Est. 85% real, active audience · Low fake-follower risk.
  • Healthy view-through — roughly 13% of subscribers watch each video.
  • 2.84% engagement — around average for this size.
Est. authentic audience
85%
Fake-follower risk
Low

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 21% Female 79%
Age · peak 18-24
13-1711%
18-2430%
25-3429%
35-4419%
45+11%
Top geographies
  • United States46%
  • United Kingdom8%
  • Canada7%
  • Australia4%
  • India5%
Likely interests
EntertainmentLifestyleTrending

💚 Brand affinity

Estimated

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

Keeps Shopify Epidemic Sound Surfshark Nebula Incogni Audible Genshin Impact BetterHelp Saily

About

Tech, Tesla & More

Contact for Sponsorships:

📸 Gallery

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