GO
Images
to
AI-predicted analytics in seconds
PRE can model and predict
human engagement
with complex visual content (such as
web screenshots, in-store displays, videos, etc.).
These predictions can be used for A/B testing designs before implementation,
measuring user flows across multiple web pages, measuring engagement with video, or, across omni-channel user journeys
(e.g.
in-store ⇨ mobile ⇨ desktop-purchase).
PRE can also predict user flow in-store, which can
help
optimize in-store layouts/designs.
Contact us to learn more
This is what PRE can do:
A/B test design options based only on a screenshot
Instead of spending significant time and cost implementing an idea, get a sense of how well it will perform within seconds using only a screenshot/design/mockup.
Predict multi-step user flows
PRE can predict the overall likelihood of specific user journeys across multiple steps (such as finding a service, interacting with the service, and making a post service action). This way, you can optimize the UX
with specific user flows in mind.
Predict product engagement in video ad or social post
With PRE, you can get a quantitative measure of exposure of a product or service
in a video segment. For example, you can predict how much engagement you are likely to get from an influencer video post, or, from
a video ad.
Deep
contextual understanding of visuals
Context matters. PRE analyzes complex images such as screenshots by understanding each element based on visual affinity and color. But it also analyzes context, including what is being featured and how engaging that might be to users.
Measure real-time engagement across retail channels
Predict engagement stats for any brand/product (even competitors) across all retail channels:
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