Over the past months, our Product team has been working hard to improve our products and unify them under one platform.
Today, we are thrilled and proud to introduce a set of new updates to Predict, which give you more accurate predictions and a better user experience.
Measure attention to custom shapes
You now have the freedom to draw custom shapes and measure attention to the smallest details on any item of your creative assets. With Predict’s new free-form AOI tool, you’ll get a thorough analysis of more complex areas of attention.
Launch more engaging videos
From now on, you will be able to run more finely-grained analyses on your video assets and ads. At the heart of this rollout is an improved video prediction model that is based on a larger and more representative video dataset. The model is now even more accurate at capturing how human attention behaves during frictions and frameshifts.
Save time with simple content management
Predict has been redesigned with a focus on simplicity, so that anyone can navigate through the product with ease. A new dashboard will make it easier than ever to manage your content, understand metrics better, and scale your projects.
New features include a brand new search bar, filtering functions, and updated metric visualization. You can now search and filter across your content, switch views, and easily manage your files in folders. The prediction dashboard has also been upgraded with simpler metric visualizations for easier interpretation.
Boost client relations with user roles
The update includes a new account management system and the sunset of single-user accounts. This new system will make it easier to share and access content within an organization.
Individual accounts under companies are now grouped into company accounts with user roles. For example, you can have a manager account with multiple user roles. If you are an agency, you can use this feature to have multiple accounts per client and switch between them as needed.
Clarity is now called Focus
The score called Clarity will now be called Focus. We are changing the name because Focus better reflects what the eye-tracking prediction score is meant to measure: this is a measure of how focused attention is on an image or in a video.
A high Focus score means that viewers are likely to agree on where to look, and the attention heatmap is centered around a single area. A low Focus score means that viewers are less likely to agree on where to look, and the heatmap will be scattered over larger portions of the image or video frame.