Customer segmentation with purchase channels and media touchpoints using single source panel data
Satoshi Nakano and
Fumiyo N. Kondo
Journal of Retailing and Consumer Services, 2018, vol. 41, issue C, 142-152
This study examines how customers use multiple channels and media in modern retail environments. It segments customers by using Latent-Class Cluster Analysis, which focuses on the purchase channels of bricks-and-mortar and online stores, media touchpoints of PC, mobile, and social media, and psychographic and demographic characteristics. It extends the framework of prior research by analyzing 2595 Japanese single source panelistsâ€™ data in which purchase scan panel data on low-involvement, more frequently purchased categories, media contact log data, and survey data are tied to the same ID. The analyses reveal seven segments including the properties of research shoppers and multichannel enthusiasts.
Keywords: Multichannel shopping behavior; Purchase stages; Latent-class cluster analysis; Behavioral data (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:joreco:v:41:y:2018:i:c:p:142-152
Access Statistics for this article
Journal of Retailing and Consumer Services is currently edited by Harry Timmermans
More articles in Journal of Retailing and Consumer Services from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().