Applications of store loyalty card big data in the location planning process

Nick Hood, Graham Clarke, Andy Newing and Tim Rains

Chapter 9 in Big Data Applications in Geography and Planning, 2021, pp 107-120 from Edward Elgar Publishing

Abstract: Store loyalty card data is a contemporary form of ‘Big Data’ with uses in geography and planning. These data capture a multitude of consumer behaviours, many of which have a spatial and temporal element. Using data provided by a major grocery multiple, this chapter discusses the application of this type of data in two key areas of retail analysis: calibrating customer behaviour in retail models and understanding the geodemographics of uptake of e-shopping by consumers. The wider insights gained from this application of store loyalty card data contribute to the understanding of the utility of big data, the proliferation of e-commerce engagement and the potential role of novel forms of data in the store location planning process.

Keywords: Economics and Finance; Geography; Innovations and Technology; Research Methods; Urban and Regional Studies (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/view/edcoll/9781789909784/9781789909784.00014.xml (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:19400_9

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().