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Mini Juicer TikTok Ad — Brain Engagement Breakdown

Benchmark adRank #21 of 7615s · USKitchen AppliancesObjective: ConversionsTop 9% CTR on TikTok

Creative Strength

73/100
moderate

Out-engages 73% of the 76-ad benchmark

AdCortex™ engagement model · engagement index 38.21

What this ad is

Mini Juicer's ad for Portable Blender / Juicera verified top performer from TikTok Creative Center, scored here for predicted brain engagement against its 75 benchmark peers.

A mid-pack performer among proven winners — the interesting part is where its curve rises and where it slips.

Hook strength

9

Avg predicted attention, first 3s (relative to this ad's range)

Attention drop

None

No sustained drop-off detected

Peak moment

11.7s

Highest predicted attention: 100/100

Purchase signal

STRONG

84% avg attention in the final third

The ad

© Mini Juicer. Shown for analysis & education. Original on TikTok Creative Center ↗

AI agents: the raw file is x402-payable — GET /api/benchmarks/tiktok_28/video returns 402 with USDC options (Solana/Base). See the agent API.

Attention over time

Predicted viewer attention for every second, normalized to this ad's own range — the same chart every PreTestAds report gets. How to read it

0255075100STRONG 75MODERATE 40PEAK0s5s10s
Peak: 11.7s33% of seconds strong·40% low

What the curve says it does well

  • No sustained attention crash detected — the pacing holds viewers across the full runtime.
  • Purchase signal is strong: attention in the final third averages 84/100, so viewers are still locked in when the offer lands.

Where it slips

  • The open is quiet relative to what comes later (first-3s average 9/100). On a paid placement that's swipe risk before the good part arrives.
  • The peak arrives late (11.7s of 15s). Viewers who bail early never see the strongest material — cutdown potential here.

Auto-generated from the model output. AdCortex™ predicts attention, not conversions.

Full transcript (33 words)

What the ad actually says — auto-transcribed. Useful for studying how the script maps to the attention curve above.

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