Skip to main content
Log in

Sequential market basket analysis

  • Published:
Marketing Letters Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. We use the mathematical symbol “~” to denote “approximately”.

References

  • Anand, S. S., Patrick, A. R., Hughes, J. G., & Bell, D. A. (1998). A data mining methodology for cross-sales. Knowledge-Based Systems, 10(7), 449–461.

    Article  Google Scholar 

  • Brijs, T., Swinnen, G., Vanhoof, K., & Wets, G. (2004). Building an association rules framework to improve product assortment decisions. Data Mining and Knowledge Discovery, 8(1), 7–23.

    Article  Google Scholar 

  • Du, R., & Kamakura, W. (2006). Household life cycles and lifestyles in the United States. Journal of Marketing Research, 43(1), 121–132.

    Article  Google Scholar 

  • Hui, S. K., Bradlow, E., & Fader, P. S. (2009). Traveling salesman goes shopping: the systematic deviations of grocery paths. Marketing Science, 28(3), 566–572.

    Article  Google Scholar 

  • Larson, J. S., Bradlow, E. T., & Fader, P. S. (2005). An exploratory look at supermarket shopping paths. International Journal of Research in Marketing, 22(4), 395–414.

    Article  Google Scholar 

  • Otnes, C., & McGrath, M. A. (2001). Perceptions and realities of male shopping behavior. Journal of Retailing, 77, 111–137.

    Article  Google Scholar 

  • Paas, L. J., & Molenaar, I. W. (2005). Analysis of acquisition patterns: a theoretical and empirical evaluation of alternative methods. International Journal of Research in Marketing, 22, 87–100.

    Article  Google Scholar 

  • Russell, G. J., & Petersen, A. (2000). Analysis of cross category dependence in market basket selection. Journal of Retailing, 76(3), 367–392.

    Article  Google Scholar 

  • Russell, G. J., Ratneshwar, S., Shocker, A. D., Bell, D. R., Bodapati, A., Degeratu, A., Hildebrandt, L., Kim, N., Ramaswami, S., & Shankar, V. (1999). Multiple category decision making: review and synthesis. Marketing Letters, 10(3), 319–332.

    Article  Google Scholar 

  • Seetharaman, P. B., Chib, S., & Ainslie, A. (2005). Models of multi-category choice behavior. Marketing Letters, 16, 239–254.

    Article  Google Scholar 

  • Sorensen, H. (2003). The science of shopping. Marketing Research, 15(3), 30–35.

    Google Scholar 

  • Vindevogel, B., Van den Poel, D., & Wets, G. (2005). Why promotion strategies on market basket analysis do not work. Expert Systems with Applications, 28(3), 583–590.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wagner A. Kamakura.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kamakura, W.A. Sequential market basket analysis. Mark Lett 23, 505–516 (2012). https://doi.org/10.1007/s11002-012-9181-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11002-012-9181-6

Keywords

Navigation