Wi-Fi Location Analytics

Optimise your performance with data rich Wi-Fi location analytics. Dwell time, 1st time visits, repeat visits, and passer-by behaviour insight for your business.

Turn Wi-Fi detection into behaviour analytics

Wi-Fi has become an integral part of our lives and most of our smartphones automatically connect to the nearest hotspot as we move around the world. Now, stores can utilise this location data to create a picture of what customers do in and around their store.

Location analytics allows you to see what your customers do in store through the movement of their smart phone and its connection to Wi-Fi hotspots. The data doesn’t contain any personal information so there are no concerns about data protection rules but does create an impersonal Wi-Fi identity for each customer.

This data allows you to see how many customers enter the store and walk along Aisle 1 or how many go straight to Aisle 3. It helps you understand how many are walking past that new promotion at the end of Aisle 7 or whether it would be better placed in the centre of Aisle 8. These are just a couple of ideas of the data-driven decisions you can make when you use StoreTech to understand what your customers do while in your store.

StoreTech have been providing retail analytics for over 20 years direct to customers and through trusted partners.

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Why use 
Wi-Fi Location Analytics?

Powerful behaviour insight, so you can make the most relevant business decisions

Traffic capture rate

Understand traffic that walked in front of store – merchandize window display to increase capture rate.

First visited zone

Understand what is drawing customers to store – measure cause and affect of advertising campaigns.

Capture rate in zone

Understand staff needs within each zone (by hour) - reduce staff cost & increase effectiveness/customer loyalty.

Window conversion rate

Understand if visitors are viewing window display - re-allocate merchandize based on empirical data.

New and repeat visits

Determine rate to sale conversion & value of visitor - focus on customers that drive the higher value and customer retention & service.

Visitor dwell time

Understand dwell by new/repeat visitor & by zone - allocate staff and adjust store layouts based on zone visits & dwell time.

Abandoment rate

Understand the visitor bounce and visit abandonment by zone - increase revenue by reducing abandoned baskets.

Visitor frequency

Understand how often visitors shop & market based on interval – improve effectiveness of marketing & advertising campaigns.

Sale conversion rate

Determine how many visitors convert to a sale - measure wait time & eliminate abandonment of sale.

Real-time Occupancy Solution

Do you know how many people are in your building right now?

Use technology to drive change, and help solve your operational challenges. 

Learn more about Occupancy counting solution
Occupancy counting solution

Learn more about Wi-Fi Analytics

How does Wi-Fi detection work?

Dedicated Wi-Fi detection sensors detects & collect anonymous “WiFi heartbeat data” from any device with a Wi-Fi radio. It does this by sniffing for Wi-Fi devices on all Wi-Fi channels . With no dependency on MAC addresses it can capture devices that randomize their identity. Using dedicated detection sensors rather than a Wi-Fi device that also broadcasts, means it is able to capture 25-35 times more data.
Using triangulation it is possible to accurately know the movement of a device.

How does Wi-Fi detection deal with data privacy?

The Wi-Fi detection sensors and both GDPR & CCPA compliant. Encryption occurs at premised with secure data transport. 

What data is capture?

This can be broken down into three areas;

Presence: Mobile devices that are in an area of interest. The sensors can be tuned to a radius range of 3 - 75ft.

Proximity: Mobile devices closest in distance to a zone or area of interest.

Positioning: X and Y coordinate position of mobile device within a venue.