WiFi analytics involves the use of WiFi networks to collect data on WiFi devices such as smartphones and laptops and includes detailed information on the device behaviour, both physically in the space covered by the WiFi network, as well as the activity performed via the WiFi network's internet connection.
WiFi analytics on 'associated devices' means that the analytics is being provided only on devices that are connected to the WiFi network. As such, devices which are not connect to the WiFi networ are not included in the analytics data. This often means that the sample size of the analytics is very small as most businesses struggle to get high WiFi connection rates.
WiFi analytics based on 'unassociated devices' means that the analytics is based on any and all WiFi enabled devices within range of the network which are actively sending probes. This may include laptops, smartphones and other devices such as Sonos or printers depending on the filtering of the WiFi analytics platform. As a result, this type of WiFi analytics provides much higher numbers as it's base index.
How many people pass by a location
How long people spend in a particular place
How many people leave a place quickly
Recency & Frequency
How often people return and at what intervals
WiFi analytics collects anonymous data from WiFi enabled smartphones and devices. All WiFi enabled devices send out 'probes' looking for WiFi networks. WiFi analytics systems capture this data and report on it.
Some of the benefits of WiFi analytics include:
WiFi analytics is used extensively in retail to measure the effectiveness of marketing and sales, customer experience, visual merchandising and more.
WiFi analytics is used in hospitality to measure how guests are using the hotel or casino's facilities, event centres, restaurants and other spaces.
WiFi analytics is used in car dealership showrooms to measure customer traffic, sales conversions, sales training, marketing effectiveness and more.
WiFi analytics is used in banking to measure queue wait times, required staffing levels, bank branch zones, marketing effectiveness and more.
WiFi analytics is used in transportation to understand how travellers use a transport network, where they get on and off, and how they transit through major stations.
WiFi analytics is used in tourism to measure how tourists travel, from the point of arrival to key tourist hot spots as well as departure points.