Retail

Bringing Big Data solutions to the retail sector

introduction

We help data owners monetise data sets in the retail sector, developing tailored insights that inform business decisions, either at a single store level, high street or shopping centre, or across a network of stores.

Working closely with our clients, we extract, clean and process location data, including cellular, Wi-Fi, GPS and App data. 

Our advanced analytical methods allow us to provide retailers with unparalleled insight into the behaviours and characteristics of their customers. This might include itineraries and dwell patterns, as well as demography.

The derived insights can be used to benchmark and monitor retail performance against KPIs and used together with the retailer’s own data to help inform strategy and operations.

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use cases

Catchment analysis

Insights relating to journeys to and from a location

Home and work location analysis

Insights to inform branch opening hours and closures

Demographic Analysis

Gender, age and audience profiling of people visiting a specific location

Itinerary
Analysis

Segmentation of visitors based on their itineraries within a store or area

Demographic Analysis

Gender, age and audience profiling of people visiting a specific location

Home and work location analysis

Insights to inform branch opening hours and closures

Catchment analysis

Insights relating to journeys to and from a location

Use Cases

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Related case studies

  We are seeking to collaborate with organisations engaged in research.
If you wish to discuss potential research opportunities, please contact Dr. Steve Gwynne