Location analytics provides unique insights into your business and customers through the analysis of data over maps. Common types of location analytics includes sales by location and customer in-store experience, viewed on interactive maps with geolocation capabilities.
Location analytics simply connects your data sources to geolocations. Most data will have a geolocatoin value associated to it, such as an address or GPS coordinates, which can be represented on a map or with a geographic reference.
Blix Traffic integrates multiple data sources to provide comprehensive location analytics.
The Blix platform is able to provide comprehensive location analytics because customer integrate many types of data into one central system for analysis.
Both WiFi networks and smartphones are ubiquitous. As a result, smartphones are constantly searching for WiFi networks to connect to. Blix Traffic collects data from WiFi networks to provide the most granular and rich form of location analytics data available on the market today.
Smartphone GPS data is provided by millions of apps to enable geo location analytics on a macro scale. Blix Traffic integrates with app location data so you can see where your customers live, shop, work and more.
For controlled environments, people counting cameras provide the most accurate method of counting. Blix Traffic integrates with camera, laser and thermal based people counting systems to provide detailed customer insights.
CCTV cameras can provide valuable location analytics data such as people counts and traffic movement. Blix Traffic integrates CCTV data to provide deeper analysis alongside other business data.
Location analytics data is only made powerful when combined with your business data. Blix Traffic integrates with data such as sales, customer data, loyalty, logistics and more, to gather powerful location analytics insights.
Blix Traffic has a two-way API which enables you to connect any data source. As your central hub for location analytics, Blix provides flexible and extensive integrations to different data sources and inturn deeper levels of analysis.
Blix Traffic uses smartphone Wifi signals to measure footfall and provide detailed analytics via a web-based interface. The Wifi network detects Wifi enabled smartphones within range, transmittig the anonymous data to the cloud. This data is then run through a series of algorithms in order to calculate the footfall analytics.
This results in very rich location analytics based on smartphone data such as:
How many people
How many people are seen, when and where
How many of the people are unique
How many people return and how often
What paths people take over time
Where people are located and move
How long people spend in each area
Heat maps of people movement and dwell
Recency & frequency
Frequency and time between return visits