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Unlocking the transformative potential of customer data in retailing
Authors:Hannu Saarijärvi  Hannu Kuusela  P. K. Kannan  Gauri Kulkarni  Timo Rintamäki
Affiliation:1. School of Management, University of Tampere, Tampere, Finland;2. Department of Marketing, Robert H. Smith School of Business, University of Maryland, Maryland, MD, USA;3. Sellinger School of Business and Management, Loyola University Maryland, Baltimore, MD, USA;4. School of Management, Research Center Synergos, University of Tampere, Tampere, Finland
Abstract:Retailers collect, process, and use large amounts of data about customers: what they buy, how they buy, when they buy – and when customer loyalty cards are used – who buys the product or service. The use of customer data within the customer relationship management (CRM) framework has largely remained one sided. The potential of customer data for the benefit of the customer’s well-being still needs to be addressed. Reverse use of customer data, i.e. the process of firms converting customer data into information that is meaningful for the customers, extends attention toward using customer data for the benefit of the customer. In addition, selling goods to customers retailers can revise customer data into relevant and meaningful information that can support their well-being. Consequently, the purpose of this study is to identify and illustrate the transformative potential of the reverse use of customer data in retailing. This is achieved by reviewing literature on CRM, S-D logic, and transformative consumer research, and conducting a case study of a food retailer using point-of-sale data to provide customers with information about the healthfulness of their food purchases. Anonymous customer feedback data is collected and analyzed, and as a result, the transformative potential of customer data is reflected through five themes: self-monitoring, enhanced diet, food literacy, peace of mind, and beyond food healthfulness. These themes illustrate customers’ well-being outcomes resulting from reverse use of customer data.
Keywords:Reverse use of customer data  customer data  transformative consumer research  well-being  service-dominant logic
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