Blis
Wondering how to market to savvy consumers that don’t readily share their personal data will work in the future? Meet our newest client, Blis.
Project goal
Create a user experience and interface design for customers attempting to market their service or product anywhere in the world with some of the most sophisticated filters and customizable search parameters ever.
Search, Choose, Analyze
More and more people have decided to go “incognito,” as Chrome calls it. This is why a platform like Blis exists, and although they don’t use personal data, they do use a combination of device IDs, location, and context to come up with illuminating analytics. Fuselab took this data, the functions by which it can be manipulated, and designed a visual and contextual architecture to help users, regardless of their digital sophistication, make excellent use of this powerful marketing tool.
Every UI/UX design needed to feel innovative and reinforce the message that Blis is something different. Scratch that, this is something revolutionary!
Informative Graphics
Blunt, exceptionally telling graphics and photography
The combination of informative graphics that speak to the subject matter with highly intuitive functionality is just one of the many reasons our design for Blis has helped this groundbreaking service create a name for itself in a highly competitive space.
Data Visualizations
Geography is just one of many options to choose from.
Bold and clear graphics has been proven to resonate with viewers up to 100-times faster than words, which is exactly why we used large map segments throughout the platform to the visual landscape to give users a place to familiarize themselves with what’s possible. Our data visualizations, through the use of colors, gradients, and strategic placement, work hand-in-hand with the underlying graphics to create a powerful design one-two punch.
Strategy
A high sophisticated platform with countless user paths.
With a bespoke design approach to data, we created a user experience that is 100% customizable though filters, different types of measurement, geolocation, and the list goes on. If you want to target people that eat lunch at a particular McDonalds on a particular street, in a particular city, it’s all possible.


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