Junbi is an AI-powered YouTube ad testing and benchmarking platform. It generates quantified effectiveness scores and heatmaps that can be used to objectively measure and optimise your YouTube ad.  All without the need for research participants or expensive equipment.

Junbi is completely powered by AI and requires no human participants or user tracking. All you need to do is upload your YouTube ad, fill in your ad details and let the software do its work.

It works by first creating an attention prediction (similar to eye-tracking, but predictive) heatmap of your ad using our attention prediction platform expoze.io. Our software predicts eye fixations on natural images by highlighting areas in the image that have high salience. After the heatmap is created, Junbi is able to create your effectiveness scores by analysing several visual elements of your ad which have been found to be key drivers of effective YouTube video ads. This includes how much attention is on your brand, how much ‘visual clutter’ is in the ad, and how much attention is given to the ad relative to its surroundings in the YouTube environment.

If you’re interested in learning more about the tech behind Junbi, please do not hesitate to contact us.

Junbi has been created by a team of Neuroscientists, Data Scientists, former Marketing Executives and Developers at Alpha.One. We are part of a larger network of brands which also includes our attention prediction platform expoze.io. Additionally, we also work with researchers from the Rotterdam School of Management on a regular basis as part of our exclusive research partnership.

Junbi is being developed in collaboration with our partners at YouTube and Google. The platform is currently in Beta, and we are looking for brands and agencies to join us as part of our Beta Testing Program. If you are regularly creating ads for YouTube and want to know how you can take them to the next level, you can leave your details using this form and we will contact you.

You can use Junbi.ai to receive quantified and actionable insights to ensure that you are creating an effective YouTube ad. 

We provide metrics on 3 key ad effectiveness drivers:

1. Brand attention: How well is the brand able to draw attention?
2. Ad breakthrough: How well is the ad able to attention relative to its surroundings? 
3. Cognitive ease: How easy is it to process the ad; impacted by visual complexity.

Thanks to our extensive experience with Neuromarketing research, we have identified these 3 drivers as the best predictors of ad success. However, it doesn’t stop there! We have a very ambitious roadmap of predictive metrics that we will add to Junbi – so stay tuned for updates.