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englishattheready

@englishattheready

TikTok
Michael Anton
Early stage — big upside with the right hooks

TikTok creator · 2.4M followers · 9.7% avg engagement. Style: Talking head. Early stage — big upside with the right hooks.

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43.4
UGC Score
2.4M
Followers
9.7%
Engagement
6.2M
Avg views
$200–324
Est. video price

Metrics averaged over the last 3 posts · 1 deeply analyzed

Real numbers

Influencer
25K
Avg likes / video
297
Avg comments / video
—
Avg saves / video
1.0K
Avg shares / video

Fair price per video

from real median views · confidence 75%
$200–$324
UGC deliverable / video
$4,651–$8,372
Sponsored post (own channel)

A follower-based rate card would quote ~$23,773 — paying that would overpay by ~$17,571.

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%69.5
Audience quality25%39.4
Trend fit20%16.3
Ad potential15%62.8
Reliability & comms10%0
Dominant UGC style:Talking head

Audience read

Traffic authenticity
n/a
n/a
Engagement quality
32.4/100
strong
Follower/following
n/a
ok
  • 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 3 recent posts · confidence: low

Top recent posts

⚡ 75
18M views
Talking head
Stop saying ME TOO all the time.
323K views
Other
67K views
Other

Deep analysis

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1 hook formulas · 3 content pillars · 5 strengths · per-post breakdowns.
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Frequently asked

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

A fair rate is about $4,651–$8,372 per video, from real median views — not the inflated follower-based quote.

Is @englishattheready's audience real?

Traffic authenticity n/a and engagement quality 32.4/100 from 3 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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