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The Real World Graph™

Derived from beacon and proximity data, the Real World Graph™ provides a unique perspective on how consumers are contextually connected to physical locations and each other.

500
million proximity sensors forecasted globally by 2021
40%
of global volume already partnered with Unacast
million proximity sensors forecasted globally by 2021
of global volume already connected to UNACAST PROX

We look at these movements as a node network to facilitate for better and smarter online experiences, mainly through advertising, retargeting and attribution. Future applications will be found in analytics, e-commerce, bots, and AI, to name a few.

The Real World Graph™ is based on indoor and outdoor data collected from the interactions mobile devices have with proximity sensors all over the globe. This data is rigorously verified and synthesized with other user data by Unacast - the world’s largest proximity sensor network.

Benefits for marketing platforms

Radically improve targeting
Accurately
measure attribution
Power advanced analytics
Monetize location data

Why is proximity data so powerful?

Double-deterministic™

Verified location and verified identity

Contextual

Always connected to a detailed context

Consistent

Always deterministic and always persistent

Accurate

Accurate down to meters - even indoors

Versatile

Power everything from marketing to bots and AI

How do we build
the Real World Graph™?

We gain our understanding about the connections between sensors, people, places, and context through analyzing billions of data points across millions of mobile devices and locations every month.

Through our network of proximity partners, we know the location and context of each sensor, allowing our advanced filtering algorithms to make sure all data that ends up in the Real World Graph™ is double-deterministic™ and of the highest accuracy possible, meaning we both know the device and the context of each location.

Everything that enters our proprietary data processing pipeline is connected to the Real World Graph™ in real-time. This enables us to extract a deeper understanding of the data within seconds.

Why use sensor data to power the Real World Graph™?

Proximity sensor data is double-deterministic™

We connect to physical pieces of proximity hardware, such as beacons, that are placed in specific and known locations, like a particular store department, or next to a specific product type. Simply put, proximity technology is granular and targeted, and it works perfectly indoors. That’s why we call it double-deterministic™.

Privacy and the Real World Graph™

The Real World Graph™ is built with a privacy-first mentality, as scalable data solutions of the future need to take into account all parts of the eco-system - including end-users.

We are committed to ensure that all the members of the Unacast platform who contribute data to the Real World Graph™ collect and process the data in compliance with applicable laws and industry privacy standards, enabling Unacast to provide privacy-compliant data solutions to its customers.

Proximity sensor data is double deterministic

We connect to physical pieces of hardware, like beacons, that are placed in specific and known locations like specific store departments, inside a car or next to a specific product. Simply put, proximity technology is granular and targeted, and works perfectly indoors too

Geo lat/long data is probabilistic

Today's insights and marketing platforms are heavily focused on geo-location data and lat/long, but as this data typically comes from unverified apps and bid requests combined with a geo-location API, the accuracy is difficult to pinpoint, especially indoors