IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v37y2018i4p631-648.html

Targeting Mr. or Mrs. Smith: Modeling and Leveraging Intrahousehold Heterogeneity in Brand Choice Behavior

Author

Listed:
  • Hernán A. Bruno

    (University of Cologne, 50923 Cologne, Germany)

  • Javier Cebollada

    (Institute for Advanced Research in Business and Economics, Public University of Navarra, 31006 Pamplona, Spain)

  • Pradeep K. Chintagunta

    (Booth School of Business, University of Chicago, Chicago, Illinois 60637)

Abstract

We develop a hierarchical choice model to account for the choice utility heterogeneity of individual shoppers that belong to the same household. Our model allows us to measure how much variability in purchase behavior exists among individuals in a household, and to compare this to the variability that exists across households. Because of the presence of multiple shoppers from the same household, we also extend the concept of household-level state dependence to consider state dependence at the individual level. We apply our model to five different grocery categories. We find that the intrahousehold heterogeneity in estimated brand intercepts and (to a lesser extent) price sensitivities is about 20%–30% of the interhousehold heterogeneity in these parameters. However, with promotion sensitivities, we find intrahousehold heterogeneity, in most cases, to be as large as interhousehold heterogeneity. Our state dependence results show that past brands purchased by an individual have a much stronger influence on subsequent purchases than those purchased by anyone in the household. We use our estimated utility parameters to compare the expected profitability of promotions targeted at the individual rather than at the household and find substantial (more than 50%) improvements in the incremental revenue of supermarket promotions.

Suggested Citation

  • Hernán A. Bruno & Javier Cebollada & Pradeep K. Chintagunta, 2018. "Targeting Mr. or Mrs. Smith: Modeling and Leveraging Intrahousehold Heterogeneity in Brand Choice Behavior," Marketing Science, INFORMS, vol. 37(4), pages 631-648, August.
  • Handle: RePEc:inm:ormksc:v:37:y:2018:i:4:p:631-648
    DOI: 10.1287/mksc.2018.1088
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/mksc.2018.1088
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.2018.1088?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Peter E. Rossi & Robert E. McCulloch & Greg M. Allenby, 1996. "The Value of Purchase History Data in Target Marketing," Marketing Science, INFORMS, vol. 15(4), pages 321-340.
    2. Davis, Harry L, 1976. "Decision Making within the Household," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(4), pages 241-260, March.
    3. Lewandowski, Daniel & Kurowicka, Dorota & Joe, Harry, 2009. "Generating random correlation matrices based on vines and extended onion method," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 1989-2001, October.
    4. Peter E. Rossi, 2014. "Invited Paper —Even the Rich Can Make Themselves Poor: A Critical Examination of IV Methods in Marketing Applications," Marketing Science, INFORMS, vol. 33(5), pages 655-672, September.
    5. Corfman, Kim P & Lehmann, Donald R, 1987. "Models of Cooperative Group Decision-Making and Relative Influence: An Experimental Investigation of Family Purchase Decisions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(1), pages 1-13, June.
    6. Chandra Bhat & Ram Pendyala, 2005. "Modeling intra-household interactions and group decision-making," Transportation, Springer, vol. 32(5), pages 443-448, September.
    7. Keane, Michael P, 1997. "Modeling Heterogeneity and State Dependence in Consumer Choice Behavior," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 310-327, July.
    8. M. Browning & P. A. Chiappori, 1998. "Efficient Intra-Household Allocations: A General Characterization and Empirical Tests," Econometrica, Econometric Society, vol. 66(6), pages 1241-1278, November.
    9. Jean‐Pierre Dubé & Günter J. Hitsch & Peter E. Rossi, 2010. "State dependence and alternative explanations for consumer inertia," RAND Journal of Economics, RAND Corporation, vol. 41(3), pages 417-445, September.
    10. Anocha Aribarg & Neeraj Arora & Moon Young Kang, 2010. "Predicting Joint Choice Using Individual Data," Marketing Science, INFORMS, vol. 29(1), pages 139-157, 01-02.
    11. Andrew Ainslie & Peter E. Rossi, 1998. "Similarities in Choice Behavior Across Product Categories," Marketing Science, INFORMS, vol. 17(2), pages 91-106.
    12. Allenby, Greg M. & Rossi, Peter E., 1998. "Marketing models of consumer heterogeneity," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 57-78, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Boto-García, David & Mariel, Petr & Baños-Pino, José Francisco, 2023. "Intra-household bargaining for a joint vacation," Journal of choice modelling, Elsevier, vol. 47(C).
    2. Kappe, Eelco & Stadler Blank, Ashley & DeSarbo, Wayne S., 2018. "A random coefficients mixture hidden Markov model for marketing research," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 415-431.
    3. Kwangpil Chang & S. Siddarth & Charles B. Weinberg, 1999. "The Impact of Heterogeneity in Purchase Timing and Price Responsiveness on Estimates of Sticker Shock Effects," Marketing Science, INFORMS, vol. 18(2), pages 178-192.
    4. Changbiao Liu, 2024. "Estimating dynamic logit models with unobserved individual heterogeneity and with application in household brand choices," Computational and Mathematical Organization Theory, Springer, vol. 30(4), pages 321-349, December.
    5. Jean‐Pierre Dubé & Günter J. Hitsch & Peter E. Rossi, 2010. "State dependence and alternative explanations for consumer inertia," RAND Journal of Economics, RAND Corporation, vol. 41(3), pages 417-445, September.
    6. Wen Chen & Ying He & Saurabh Bansal, 2023. "Customized Dynamic Pricing When Customers Develop a Habit or Satiation," Operations Research, INFORMS, vol. 71(6), pages 2158-2174, November.
    7. Zhang, Junyi & Kuwano, Masashi & Lee, Backjin & Fujiwara, Akimasa, 2009. "Modeling household discrete choice behavior incorporating heterogeneous group decision-making mechanisms," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 230-250, February.
    8. Xiaoyuan Wang & Yan Liu, 2020. "Explaining Consumer Heterogeneity in Structural State-Dependence," Sustainability, MDPI, vol. 12(7), pages 1-13, March.
    9. Bond, Craig A. & Thilmany, Dawn D. & Bond, Jennifer Keeling, 2008. "What to Choose? The Value of Label Claims to Fresh Produce Consumers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-26.
    10. Dan Horsky & Sanjog Misra & Paul Nelson, 2006. "Observed and Unobserved Preference Heterogeneity in Brand-Choice Models," Marketing Science, INFORMS, vol. 25(4), pages 322-335, 07-08.
    11. Vishal Narayan & Vithala R. Rao & Carolyne Saunders, 2011. "How Peer Influence Affects Attribute Preferences: A Bayesian Updating Mechanism," Marketing Science, INFORMS, vol. 30(2), pages 368-384, 03-04.
    12. Julia Levine & Stephan Seiler, 2023. "Identifying State Dependence in Brand Choice: Evidence from Hurricanes," Marketing Science, INFORMS, vol. 42(5), pages 934-957, September.
    13. Ta-Wei Huang & Eva Ascarza, 2024. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals," Marketing Science, INFORMS, vol. 43(4), pages 863-884, July.
    14. Hazel Bateman & Christine Eckert & Fedor Iskhakov & Jordan Louviere & Stephen Satchell & Susan Thorp, 2017. "Default and naive diversification heuristics in annuity choice," Australian Journal of Management, Australian School of Business, vol. 42(1), pages 32-57, February.
    15. David Granlund, 2021. "A New Approach to Estimating State Dependence in Consumers’ Brand Choices Applied to 762 Pharmaceutical Markets," Journal of Industrial Economics, Wiley Blackwell, vol. 69(2), pages 443-483, June.
    16. Timothy J. Richards & Jura Liaukonytė, 2023. "Switching cost and store choice," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(1), pages 195-218, January.
    17. Jay Pil Choi & Seung-Hyun Hong & Seonghoon Jeon, 2013. "Local Identity and Persistent Leadership in Market Share Dynamics: Evidence from Deregulation in the Korean Soju Industry," Korean Economic Review, Korean Economic Association, vol. 29, pages 267-304.
    18. Susan Athey & Guido W. Imbens, 2007. "Discrete Choice Models With Multiple Unobserved Choice Characteristics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1159-1192, November.
    19. Olga Novikova & Dmitriy B. Potapov, 2015. "Empirical Analysis of Consumer Purchase Behavior: Interaction between State Dependence and Sensitivity to Marketing-Mix Variables," HSE Working papers WP BRP 48/MAN/2015, National Research University Higher School of Economics.
    20. Ximena Garcia-Rada & Lalin Anik & Dan Ariely, 2019. "Consuming together (versus separately) makes the heart grow fonder," Marketing Letters, Springer, vol. 30(1), pages 27-43, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormksc:v:37:y:2018:i:4:p:631-648. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.