How can you avoid attention mistakes during your brand building? A recent post at Neurons Inc showed that almost 50% of ads were placing the brand in the “corner of death.” This area is well known to be a place where nobody pays attention. Here, we show how you can use NeuroVision to ensure that your own brand building does not fall prey to this problem.
When you are building a brand, a critical component of any communication is to link to the brand. If people love your ad but miss the brand, your effort (and budget) is wasted!
For years, it has been known that certain areas of pictures, images, videos and other visual elements are “dead” on obtaining attention. For example, the bottom-right corner is the least favorable place to put any information: it is simply so rarely attended that in eye-tracking studies it is labeled the “corner of death.”
So it is astounding that when analyzing several ads, Neurons Inc showed that almost 50% of all ads — half of the ads — had the logo in the bottom right corner.
Clearly, something needs to be done: the easiest is to get the word out there: don’t show your brand in the bottom-right corner. This type of so-called “translational science” allows us to be inspired by basic science in doing marketing right. Another solution would, of course, be to run eye-tracking studies to ensure that people see where we want them to. Through both exercises, we would learn that the bottom right corner just doesn’t cut it!
NeuroVision to the rescue
But there’s another solution that is even more handy: running a NeuroVision analysis.
To demonstrate the utility of NeuroVision for avoiding the corner of death, we ran a comparison on data from NeuroVision and eye-tracking on the same images. Here, we analyzed the relationship between areas of interest (AOIs) for the bottom right corner, aka the “corner of death.” Would the NeuroVision algorithm also show that this area was a bad place to me?
The results were staggering:
These results clearly show the power of NeuroVision — the NeuroVision prediction is closely resembling the actual eye-tracking data, to the extent that you would make the very same conclusions whether you looked at the NeuroVision or eye-tracking data.
The early vetting tool for brand building
By using NeuroVision and eye-tracking alike, the advertisers of these ads can learn that their ads perform suboptimally because of the position of their brand.
But the worth of NeuroVision goes way beyond just to let you ruminate over past advertising mistakes. Instead, think of NeuroVision as your early vetting tool! Run your ad through the platform, run 100 iterations of the same ad through the model, and see which performs best on grabbing brand attention!
Examples of just how closely NeuroVision output are to eye-tracking can be seen in the following images. Amazingly, these are ads that the NeuroVision AI model had never seen before, yet the heat maps are virtually indistinguishable.
So what is the recommended action for using NeuroVision?
- Make different versions of your ad, or other visual materials
- Include some “oddball” and crazy ideas — if nothing else, you learn what to rule out
- Identify the purpose of your ad and use this to define the most important areas of interest (e.g., the brand, product, and specific words)
- Run all images through your NeuroVision platform
- Draw AOIs on each image for your predefined areas
- Compare the scores (if you-re sophisticated, download the data and run a statistical analysis)
- Choose the image(s) that perform the best
- If you still prefer another version than the winning ad, take inspiration from the winning versions to ensure optimal attention to the key AOIs