Loyalty programs as travel companions: Complementary service features across customer journey stages
Lena Steinhoff and
Marcellis M. Zondag
Journal of Business Research, 2021, vol. 129, issue C, 70-82
Abstract:
Traditionally, loyalty programs have rewarded members following their purchases. However, current versions of these programs feature extended scopes of benefits, including technology-facilitated complementary service features that span multiple purchase stages. Using a multimethod approach, this research explores the potential of loyalty programs to become meaningful “travel companions” along the customer’s journey. First, a qualitative focus group study finds the different roles of loyalty programs: purchase process facilitation (prepurchase stage), value enhancement (purchase stage), and reassurance (postpurchase stage). Then, a survey of members of a grocery retailer’s loyalty program shows the relative importance of stage-specific interactions with service features. Managers can apply these insights for designing their loyalty program to leverage its full benefits and help members co-create value with technological support.
Keywords: Loyalty programs; Member activity; Complementary service benefits; Customer journey; Purchase stages (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296321000953
Full text for ScienceDirect subscribers only
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:eee:jbrese:v:129:y:2021:i:c:p:70-82
DOI: 10.1016/j.jbusres.2021.02.016
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().