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@ellabraungardt

TikTok
ellabraungardt
Early stage — big upside with the right hooks

TikTok creator · 188k followers · 9.9% avg engagement. Style: mixed-format content. Early stage — big upside with the right hooks.

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50.6
UGC Score
188K
Followers
9.9%
Engagement
352K
Avg views
$200–324
Est. video price

Metrics averaged over the last 25 posts · 1 deeply analyzed

Real numbers

Influencer
977
Avg likes / video
8
Avg comments / video
10
Avg saves / video
5
Avg shares / video

Fair price per video

from real median views · confidence 75%
$200–$324
UGC deliverable / video
$140–$252
Sponsored post (own channel)

A follower-based rate card would quote ~$1,880 — paying that would overpay by ~$1,693.

Priced from real median views + geo + engagement — not follower count.

See how this price is calculated — free UGC price calculator →

Score breakdown

UGC content quality30%72.6
Audience quality25%59.7
Trend fit20%22.1
Ad potential15%63.1
Reliability & comms10%0

Audience read

Traffic authenticity
n/a
n/a
Engagement quality
32.9/100
strong
Follower/following
160.4×
good
  • ℹ️ Traffic authenticity not measured — no analyzed videos yet (run the deep analysis).
  • ℹ️ Demographics (age/gender), verified % real followers and exact geo breakdown are not part of Phase 1 — they require Modash.
Based on 25 recent posts · confidence: medium

Top recent posts

⚡ 85
8.0M views
Other
when you've had a long day and life hits you with one of these
556K views
Other
36K views
Other
20K views
Other
19K views
Other
18K views
Other

Deep analysis

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1 hook formulas · 3 content pillars · 3 strengths · per-post breakdowns.
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Frequently asked

How much should you pay @ellabraungardt for a sponsored video?

A fair rate is about $140–$252 per video, from real median views — not the inflated follower-based quote.

Is @ellabraungardt's audience real?

Traffic authenticity n/a and engagement quality 32.9/100 from 25 recent posts.

How is the UGC Score calculated?

The Overall UGC Score blends content quality, audience quality, trend fit, ad potential and reliability into a single 0–100 rating from real post data.

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