The slider is used to introduce a message from the side of the screen. On the left, it is more inline with typical f-pattern viewing and can be less apparent to some shoppers
Begin the simulation to experience how Granify’s machine learning technology and message delivery system work in real-time.
These data points will update as you interact with the e-commerce page. Granify observes these and hundreds more each second to accurately predict the concerns of shoppers who may not buy.
Select a display method to preview different Granify Smart Message formats. On our retail partners’ sites, our machine learning Brain decides which message to show to assist shoppers in need.
Use the Device Preview switch to select desktop or mobile previews.
Granify evaluates more than 400 user behavior data points every second. Click on a sample data point below to learn more.
These data points will update as you interact with the e-commerce page.
Information about shopper's browser and operating system.
Shopper's country based on geolocation from IP address.
If a shopper has an item in their cart, this value will be true; otherwise, it will read as false.
This represents the number of items the shopper has added to their cart.
How many times the shopper selected text during current pageview (or list of selections).
Total number of clicks on current page.
Distance the mouse has traveled on the current page.
The percentage of the page the shopper has scrolled down (0% at top, 100% at the bottom).
Number of times the shopper has triggered a "load more" action on a collection page.
Amount of time (in milliseconds) the shopper has spent hovering on images.
Select a display method to preview different Granify Smart Message formats.
Use this switch to select desktop or mobile previews.