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Sequential market basket analysis

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  • Wagner Kamakura

Abstract

Market basket analysis (MBA) is a powerful and common practice in modern retailing that has some limitations stemming from the fact that it infers purchase sequence from joint-purchasing data. However, internet retailers automatically collect purchase-sequence data from their shoppers, and new technology is available for traditional (bricks and mortar) retailers to do the same, making it possible to analyze purchase sequences, rather than inferring them from joint purchases. This study first compares and contrasts traditional market basket analysis with a sequential extension, and then proposes a framework for purchase-sequence analysis, which is illustrated utilizing shopping trip data from one grocery store. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Wagner Kamakura, 2012. "Sequential market basket analysis," Marketing Letters, Springer, vol. 23(3), pages 505-516, September.
    • Handle: RePEc:kap:mktlet:v:23:y:2012:i:3:p:505-516
    DOI: 10.1007/s11002-012-9181-6
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    References listed on IDEAS

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    1. P. Seetharaman & Siddhartha Chib & Andrew Ainslie & Peter Boatwright & Tat Chan & Sachin Gupta & Nitin Mehta & Vithala Rao & Andrei Strijnev, 2005. "Models of Multi-Category Choice Behavior," Marketing Letters, Springer, vol. 16(3), pages 239-254, December.
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    Cited by:

    1. Thomas Reutterer & Kurt Hornik & Nicolas March & Kathrin Gruber, 2017. "A data mining framework for targeted category promotions," Journal of Business Economics, Springer, vol. 87(3), pages 337-358, April.
    2. Martin, James & Nenycz-Thiel, Magda & Dawes, John & Tanusondjaja, Arry & Cohen, Justin & McColl, Bruce & Trinh, Giang, 2020. "Fundamental basket size patterns and their relation to retailer performance," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    3. Evanschitzky, Heiner & Malhotra, Neeru & Wangenheim, Florian v. & Lemon, Katherine N., 2017. "Antecedents of peripheral services cross-buying behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 218-224.
    4. Sorensen, Herb & Bogomolova, Svetlana & Anderson, Katherine & Trinh, Giang & Sharp, Anne & Kennedy, Rachel & Page, Bill & Wright, Malcolm, 2017. "Fundamental patterns of in-store shopper behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 182-194.
    5. Creed, Bernard & Ning Shen, Kathy & Ashill, Nick & Wu, Tianshi, 2021. "Retail shopping at airports: Making travellers buy again," Journal of Business Research, Elsevier, vol. 137(C), pages 293-307.
    6. Fernando, Angeline Gautami & Aw, Eugene Cheng-Xi, 2023. "What do consumers want? A methodological framework to identify determinant product attributes from consumers’ online questions," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    7. Harald Hruschka & Thomas Reutterer, 2017. "Editorial," Journal of Business Economics, Springer, vol. 87(3), pages 291-294, April.
    8. Kim, Hwang & Rao, Vithala R., 2023. "A comparison of online recommendation methods: Simultaneous versus sequential approaches," Journal of Retailing, Elsevier, vol. 99(2), pages 210-227.

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    Keywords

    Market basket analysis; Shopping behavior;

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