junbi
VerifiedAI-powered pre-testing platform that predicts YouTube ad performance before you spend media budget
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TL;DR - junbi
- AI pre-testing platform that predicts YouTube video ad performance before you spend any media budget.
- Benchmarks creatives against 10,000+ real YouTube ads with 95% accuracy vs. human eye-tracking.
- Measures Brand Attention, Ad Breakthrough, and Cognitive Ease across desktop, mobile, and CTV.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Eliminates wasted ad spend on underperforming creatives.
- Accelerates testing workflows from weeks to minutes.
- Replaces subjective guesswork with objective, data-backed confidence.
- Highly scalable for testing massive volumes of ads.
- Bypasses the cost and logistics of human panels.
Cons
- Requires contacting the sales team for custom pricing and onboarding (no self-serve checkout).
- Analysis focuses purely on visual attention and cognitive ease, meaning audio impact must be evaluated separately.
Key Features
AI-powered video ad pre-testing without the need for human participants.Frame-by-frame measurement of Brand Attention, Ad Breakthrough, and Cognitive Ease.Performance benchmarking against a database of over 10,000 real YouTube ads.Contextual testing for in-stream, bumper, and Connected TV (CTV) formats.95% predictive accuracy rate validated against the MIT Saliency benchmark.Actionable creative recommendations and API access for automated testing at scale.
Pricing Plans
From
$40,000/year
- Second-by-second predictive scoring for brand attention, ad breakthrough, and cognitive ease.
- Context-specific pre-testing for various YouTube ad formats (skippable, non-skippable, bumper) across multiple devices (desktop, mobile, CTV).
- AI-driven actionable recommendations for creative optimization.
About junbi
By Toolradar Team·
junbi is an automated pre-testing platform that uses AI to predict the performance of video advertising. It analyzes video creatives frame-by-frame to forecast brand attention, ad breakthrough, and cognitive ease across desktop, mobile, and CTV for skippable, non-skippable, and bumper formats. This allows advertisers to benchmark their campaigns against a database of over 10,000 real YouTube ads without the need for human participants.
How we evaluate tools →Source: bit.ly
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junbi FAQ
How accurate is the attention prediction?
The underlying predictive model is 95% accurate compared to traditional hardware-based eye-tracking studies.
How long does it take to get test results?
Results are generated in minutes. Because junbi relies entirely on AI predictive models, it completely eliminates the weeks of waiting and logistical hurdles typically associated with human focus groups.
Source: bit.ly