Hey, I have a lot of questions for your tool being a marketer and dealing a lot with ads and banners. If you know the landing page should have major improvements I wont stop on it then, just focusing on what is inside:
- First of all, what is the algorithm behind the result calculation? How do you calculate the result and what factors are included. This is a big question for me as it is actually a pain for marketers - we and design team craft really beautiful ads/banners with animation etc, but based on my experience when we run A/B tests the most simple, sometimes even ugly banners always win a click...So I wonder is an algorithm just examine the picture like a normal human does or some AI/neural network based on data?
- what about gif ads? I uploaded ours, contained of 3 imaged but it does not seem to analyze it properly. How does it work with animated ads?
- the feedback about the uploaded file rises even more questions when you read them and it is controversial sometimes like the result about "Attention Grab" says you should not actually pay attention to it as it is generic. Probably you should at least split results to major ad networks like Facebook, Google, Twitter etc as they all have clear rules on image ad requirements.
- for the "Memorability" result - what this actually mean "Generelly for best results in the real world we reccomend your ad to be played really often"? I uploaded a unique ad copy made by us, not made via Google ad generator, so it should be unique and hence according to the tools logic, memorable, no? P.S. Correct some typos in quoted text ;)
I understand pixelml is in alpha, but you need much more context to it, IMO. I can continue, but it is better for you to use a form or smth like this to collect feedback.
Hope it helps, good luck! ;)