DigiBuggy

DigiBuggy

YouTube @digibuggy Lifestyle (sociology) 📍 India
Subscribers
314
🔥 Buzz rank
#26,103 ▼17741
Total Views
400.4K
Videos
175
Channel age
1 yrs
Est. monthly earnings
$1 – $2
📊 Content format · share of recent views
⚡ 96%
4%
⚡ Shorts 96%  ·  ▶️ Long-form 4% — brands place & price integrations differently across the two.
How we estimate
~12.4K recent monthly views × an estimated ad RPM of $0.97–$1.86 per 1,000 views — adjusted for Lifestyle (sociology) content and a IN audience. About 96% of recent views are Shorts, valued separately at the much lower Shorts ad rate. Yearly ≈ $12 – $24. Excludes sponsorships, memberships & merch. Full methodology →

Known for

▶️ Featured Video

9.2K views

📈 Performance

Typical video
147–1.3K views
Median 757 — the reliable floor a brand can expect, not just the headline average.
Upload rhythm
2.6× / week
Most active on Thursdays — consistent output keeps an engaged, sponsor-ready audience.
1.1K
Avg views / video
19
Avg likes
1
Avg comments
1.87%
Engagement rate
2.6
Uploads / week
2.3K
Lifetime avg / video
1.3K
Views / subscriber
96%
Shorts (recent views)
Engagement rate = (likes + comments) ÷ views across recent videos.

💡 Did you know?

🗓️Joined YouTube in 2024 — 1 year ago.
🏆Ranked #16,652 among all influencers on SocialDB.
🎯Top Lifestyle (sociology) influencer — #3,789 in the niche.
👁️Averages 1.1K views per video.
📤Posts about 2.6× per week.
💬1.87% engagement rate.
🚀Gained 7 subscribers in the last 7 days.
📱96% 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.
  • 1.87% engagement — below the ~5% 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 22% Female 78%
Age · peak 18-24
13-178%
18-2432%
25-3431%
35-4416%
45+13%
Top geographies
  • India58%
  • United States12%
  • United Kingdom5%
  • Pakistan4%
  • United Arab Emirates3%
Likely interests
EntertainmentLifestyleTrending

💚 Brand affinity

Estimated

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

Amazon Affiliate Keeps Patreon Shopify Nebula BetterHelp Audible Genshin Impact Surfshark Incogni

About

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