Anticipate What Customers Will Do

Louis-Philippe Kerkhove

Chapter 9 in Data-driven Retailing, 2022, pp 223-232 from Springer

Abstract: Abstract This chapter discusses propensity models that predict the probability that a customer or lead is going to do something specific. Where segmentation sets outs the broad lines, these models are the precision instruments that allow for the identification of specific individuals. The focus of the chapter is on what a retailer can do with these models, rather than on the technical workings of such models.

Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:mgmchp:978-3-031-12962-9_9

Ordering information: This item can be ordered from
http://www.springer.com/9783031129629

DOI: 10.1007/978-3-031-12962-9_9

Access Statistics for this chapter

More chapters in Management for Professionals from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().