Retail Analytics
Discover powerful insights about your retail location(s) and attract nearby visitors.
A powerful web service that scores and delivers brilliant analytics for just about any location in North America. Subscribe to monitor and analyze any location(s) or access data on-demand.
Why we get up in the morning:
There is a gaping hole when it comes to data about the ‘real world’ making it difficult for businesses to fuse online strategy with offline strategy. Well, we believe in the prospect of uncovering brilliant analytics and insights about all of the walking, jogging, eating, driving, working, partying, shopping and all of the other stuff people do in the “real” world.
LocationGenius ingests, indexes and profiles more than 8,000 pings per second each with a geo-stamp and time-stamp.
Every retail location, billboard, real estate listing, neighbourhood and street in Canada is profiled persistently every day.
Our privacy architecture disables us from ever accessing or delivering data that is considered Personally Identifiable Information for any users or devices.
Our engine ingests, indexes and profiles billions of bulk, anonymized, location-stamped and time-stamped signals from cellular networks and mobile applications across North America.
Transform any offline location into a analytics hotspot powered by our SIM-enabled, plug and play sensor. Uncover trends about nearby foot traffic, optimize your operations and product mix and boost your marketing to drive more customers to your location.
Overlay brilliant amounts of rich, real-time and historical social media data to any location. Whether you want to find the best location for a ‘gluten-free cafe’ or you want to focus your marketing on the most popular local celebrities, our social media layers will transform your business.
Download real-time and historical data about the volume of people and the engagement of nearby traffic for any location.
The profiling engine plugs into postal code data, behavioural streams, census data, and a growing number of other in-house and 3rd party sources. This transforms the sterile data into meaningful, and actionable segments of customers.
Aggregated, geo-stamped data from social networks in layers to help profile people traffic in and out of any area based on what the aggregate of people in that area ‘follow’ and talk about. This level of sentiment and semantic analysis is done using only public-sphere data and is designed to shed light on the general sentiment of clusters in and around any location or custom-area.