splashamantha

splashamantha

YouTube @splashamantha Film 📍 United States
Subscribers
116K
🔥 Buzz rank
#985 ▼376
Total Views
13.7M
Videos
91
Channel age
12 yrs
Est. monthly earnings
$348 – $674
📊 Content format · share of recent views
⚡ 36%
▶️ 64%
⚡ Shorts 36%  ·  ▶️ Long-form 64% — brands place & price integrations differently across the two.
How we estimate
~220.4K recent monthly views × an estimated ad RPM of $2.45–$4.73 per 1,000 views — adjusted for Film content and a US audience. About 36% of recent views are Shorts, valued separately at the much lower Shorts ad rate. Yearly ≈ $4.2K – $8.1K. Excludes sponsorships, memberships & merch. Full methodology →

Known for

▶️ Featured Video

1.66M views

📈 Performance

Typical video
11.3K–229.4K views
Median 48.3K — the reliable floor a brand can expect, not just the headline average.
Upload rhythm
0.1× / week
Most active on Mondays — consistent output keeps an engaged, sponsor-ready audience.
220.4K
Avg views / video
10.1K
Avg likes
253
Avg comments
4.7%
Engagement rate
0.1
Uploads / week
150.5K
Lifetime avg / video
118
Views / subscriber
36%
Shorts (recent views)
Engagement rate = (likes + comments) ÷ views across recent videos.

💡 Did you know?

🗓️Joined YouTube in 2013 — 12 years ago.
🏆Ranked #4,204 among all influencers on SocialDB.
🎯Top Film influencer — #292 in the niche.
👁️Averages 220.4K views per video.
📤Posts about 0.1× per week.
💬4.7% engagement rate.
🚀Gained 4K subscribers in the last 7 days.
📱36% of recent uploads are Shorts.

🛡️ Audience credibility

80/100 Excellent
  • Est. 87% real, active audience · Low fake-follower risk.
  • Views far exceed subscriber count — strong reach beyond their core base.
  • 4.7% engagement — above the ~3.5% typical for this size.
Est. authentic audience
87%
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 50% Female 50%
Age · peak 18-24
13-177%
18-2431%
25-3430%
35-4420%
45+12%
Top geographies
  • United States46%
  • United Kingdom8%
  • Canada7%
  • Australia4%
  • India5%
Likely interests
EntertainmentLifestyleTrending

💚 Brand affinity

Estimated

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

Keeps Patreon Amazon Affiliate AG1 Shopify Nebula Audible Rocket Money Robinhood Incogni

About

Sup I animate and I draw a ton.

📸 Gallery

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