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Understanding multi-channel consumer behavior: A comparison between segmentations of multi-channel purchases by product category and overall products

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  • Kondo, Fumiyo N.
  • Okubo, Taishi

Abstract

This study explores how customers utilize multiple channels in a recent retail environment. It provides a compatible framework for customer segmentation for overall products and major online-focused product categories, which reflect dynamic purchasing needs in multiple channels, using latent class cluster analysis and focusing on demographic characteristics. It extends prior studies’ frameworks by analyzing 15,938 Japanese single-source panelists’ data on low-involvement frequently purchased categories with customers’ demographics. The analyses revealed eight segments, including the specific properties of multi-channel enthusiasts. The findings imply that FMCG product classes and the corresponding consumer segments that are appropriate for cross-selling can be specified in our system, which incorporates possible future dynamic customer needs and can reduce the possibility of significant profit losses.

Suggested Citation

  • Kondo, Fumiyo N. & Okubo, Taishi, 2022. "Understanding multi-channel consumer behavior: A comparison between segmentations of multi-channel purchases by product category and overall products," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:joreco:v:64:y:2022:i:c:s0969698921003581
    DOI: 10.1016/j.jretconser.2021.102792
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    as
    1. Vermunt, Jeroen K., 2010. "Latent Class Modeling with Covariates: Two Improved Three-Step Approaches," Political Analysis, Cambridge University Press, vol. 18(4), pages 450-469.
    2. Gilles Laurent & Pierre Chandon & Brian Wansink, 2000. "A Benefit Congruency Framework of Sales Promotion Effectiveness," Post-Print hal-00458440, HAL.
    3. Herhausen, Dennis & Kleinlercher, Kristina & Verhoef, Peter C. & Emrich, Oliver & Rudolph, Thomas, 2019. "Loyalty Formation for Different Customer Journey Segments," Journal of Retailing, Elsevier, vol. 95(3), pages 9-29.
    4. Kaur, Puneet & Dhir, Amandeep & Bodhi, Rahul & Singh, Tripti & Almotairi, Mohammad, 2020. "Why do people use and recommend m-wallets?," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    5. Midgley, David F & Dowling, Grahame R, 1978. "Innovativeness: The Concept and Its Measurement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 4(4), pages 229-242, March.
    6. Laato, Samuli & Islam, A.K.M. Najmul & Farooq, Ali & Dhir, Amandeep, 2020. "Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    7. Sands, Sean & Ferraro, Carla & Campbell, Colin & Pallant, Jason, 2016. "Segmenting multichannel consumers across search, purchase and after-sales," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 62-71.
    8. van Baal, Sebastian, 2014. "Should retailers harmonize marketing variables across their distribution channels? An investigation of cross-channel effects in multi-channel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 21(6), pages 1038-1046.
    9. Mathmann, Frank & Chylinski, Mathew & de Ruyter, Ko & Higgins, E. Tory, 2017. "When Plentiful Platforms Pay Off: Assessment Orientation Moderates the Effect of Assortment Size on Choice Engagement and Product Valuation," Journal of Retailing, Elsevier, vol. 93(2), pages 212-227.
    10. Schröder, Hendrik & Zaharia, Silvia, 2008. "Linking multi-channel customer behavior with shopping motives: An empirical investigation of a German retailer," Journal of Retailing and Consumer Services, Elsevier, vol. 15(6), pages 452-468.
    11. Verhoef, Peter C. & Kannan, P.K. & Inman, J. Jeffrey, 2015. "From Multi-Channel Retailing to Omni-Channel Retailing," Journal of Retailing, Elsevier, vol. 91(2), pages 174-181.
    12. Kollmann, Tobias & Kuckertz, Andreas & Kayser, Ina, 2012. "Cannibalization or synergy? Consumers' channel selection in online–offline multichannel systems," Journal of Retailing and Consumer Services, Elsevier, vol. 19(2), pages 186-194.
    13. Pradeep K. Chintagunta & Junhong Chu & Javier Cebollada, 2012. "Quantifying Transaction Costs in Online/Off-line Grocery Channel Choice," Marketing Science, INFORMS, vol. 31(1), pages 96-114, January.
    14. Nakano, Satoshi & Kondo, Fumiyo N., 2018. "Customer segmentation with purchase channels and media touchpoints using single source panel data," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 142-152.
    15. Hall, Joseph M. & Kopalle, Praveen K. & Krishna, Aradhna, 2010. "Retailer Dynamic Pricing and Ordering Decisions: Category Management versus Brand-by-Brand Approaches," Journal of Retailing, Elsevier, vol. 86(2), pages 172-183.
    16. Sridhar Moorthy, 2005. "A General Theory of Pass-Through in Channels with Category Management and Retail Competition," Marketing Science, INFORMS, vol. 24(1), pages 110-122, August.
    17. Zhang, Jie & Farris, Paul W. & Irvin, John W. & Kushwaha, Tarun & Steenburgh, Thomas J. & Weitz, Barton A., 2010. "Crafting Integrated Multichannel Retailing Strategies," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 168-180.
    18. Chang, Chun-Wei & Zhang, Jonathan Z., 2016. "The Effects of Channel Experiences and Direct Marketing on Customer Retention in Multichannel Settings," Journal of Interactive Marketing, Elsevier, vol. 36(C), pages 77-90.
    19. Konuş, Umut & Verhoef, Peter C. & Neslin, Scott A., 2008. "Multichannel Shopper Segments and Their Covariates," Journal of Retailing, Elsevier, vol. 84(4), pages 398-413.
    20. De Keyser, Arne & Schepers, Jeroen & Konuş, Umut, 2015. "Multichannel customer segmentation: Does the after-sales channel matter? A replication and extension," International Journal of Research in Marketing, Elsevier, vol. 32(4), pages 453-456.
    21. LAURENT, Gilles & CHANDON, Pierre & WANSINK, Brian, 2000. "A benefit congruency framework of sales promotion effectiveness," HEC Research Papers Series 698, HEC Paris.
    22. Fagerstrøm, Asle & Eriksson, Niklas & Sigurdsson, Valdimar, 2020. "Investigating the impact of Internet of Things services from a smartphone app on grocery shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
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    4. Paulo Rita & Ricardo F. Ramos, 2022. "Global Research Trends in Consumer Behavior and Sustainability in E-Commerce: A Bibliometric Analysis of the Knowledge Structure," Sustainability, MDPI, vol. 14(15), pages 1-20, August.

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