IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v52y2006i11p1792-1798.html
   My bibliography  Save this article

Some Empirical Regularities in Market Shares

Author

Listed:
  • Rajeev Kohli

    (Graduate School of Business, Columbia University, 506 Uris Hall, New York, New York 10027)

  • Raaj Sah

    (Harris School of Public Policy, University of Chicago, Chicago, Illinois 60637)

Abstract

We present some empirical regularities in the market shares of brands. Our cross-sectional data on market shares consists of 1,171 brands in 91 product categories of foods and sporting goods sold in the United States. One of our results is that the pattern of market shares for each of the categories (many of which are fundamentally dissimilar, such as breakfast cereals and rifles) is represented well by the power law. The power law also does better than an alternative model--namely, the exponential form--which has previously been studied in the literature but without having been compared to any alternative. These two models have sharply different implications; for example, the power law predicts that the ratio of market shares for two successively ranked brands becomes smaller as one progresses from higher-ranked to lower-ranked brands, whereas the exponential form predicts that this ratio is a constant. Our findings have several managerial and research implications, which we summarize.

Suggested Citation

  • Rajeev Kohli & Raaj Sah, 2006. "Some Empirical Regularities in Market Shares," Management Science, INFORMS, vol. 52(11), pages 1792-1798, November.
  • Handle: RePEc:inm:ormnsc:v:52:y:2006:i:11:p:1792-1798
    DOI: 10.1287/mnsc.1060.0572
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.1060.0572
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.1060.0572?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. Gurumurthy Kalyanaram & William T. Robinson & Glen L. Urban, 1995. "Order of Market Entry: Established Empirical Generalizations, Emerging Empirical Generalizations, and Future Research," Marketing Science, INFORMS, vol. 14(3_supplem), pages 212-221.
    2. Uncles, Mark D. & Ehrenberg, Andrew S. C. & Goodhardt, Gerald J., 2004. "Reply to commentary on "Understanding brand performance measures: using Dirichlet benchmarks"," Journal of Business Research, Elsevier, vol. 57(12), pages 1329-1330, December.
    3. Benoit Mandelbrot, 1963. "New Methods in Statistical Economics," Journal of Political Economy, University of Chicago Press, vol. 71(5), pages 421-421.
    4. Chung, Kee H & Cox, Raymond A K, 1994. "A Stochastic Model of Superstardom: An Application of the Yule Distribution," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 771-775, November.
    5. Ehrenberg, Andrew S. C. & Uncles, Mark D. & Goodhardt, Gerald J., 2004. "Understanding brand performance measures: using Dirichlet benchmarks," Journal of Business Research, Elsevier, vol. 57(12), pages 1307-1325, December.
    6. Frank M. Bass, 1995. "Empirical Generalizations and Marketing Science: A Personal View," Marketing Science, INFORMS, vol. 14(3_supplem), pages 6-19.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rustam Ibragimov & Johan Walden, 2010. "Optimal Bundling Strategies Under Heavy-Tailed Valuations," Management Science, INFORMS, vol. 56(11), pages 1963-1976, November.
    2. van Ewijk, Bernadette J. & Stubbe, Astrid & Gijsbrechts, Els & Dekimpe, Marnik G., 2021. "Online display advertising for CPG brands: (When) does it work?," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 271-289.
    3. Hisano, Ryohei & Mizuno, Takayuki, 2011. "Sales distribution of consumer electronics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 309-318.
    4. P.J. Lamberson, 2016. "Winner-take-all or long tail? A behavioral model of markets with increasing returns," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 233-260, July.

    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. Raaj Sah & Rajeev Kohli, 2004. "Market Shares: Some Power Law Results and Observations," Working Papers 0401, Harris School of Public Policy Studies, University of Chicago.
    2. Graham, Charles & Khan, Kamran & Ilyas, Muhammad, 2019. "Estimating the value of passing trade from pedestrian density," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 103-111.
    3. Trinh, Giang & Lam, Desmond, 2016. "Understanding the attendance at cultural venues and events with stochastic preference models," Journal of Business Research, Elsevier, vol. 69(9), pages 3538-3544.
    4. Trinh, Giang & Corsi, Armando & Lockshin, Larry, 2019. "How country of origins of food products compete and grow," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 231-241.
    5. Gauthier Casteran & Polymeros Chrysochou & Lars Meyer-Waarden, 2019. "Brand loyalty evolution and the impact of category characteristics," Marketing Letters, Springer, vol. 30(1), pages 57-73, March.
    6. Dawes, John, 2022. "Factors that influence manufacturer and store brand behavioral loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    7. Nardi, Vinicius Antonio Machado & Jardim, William Carvalho & Ladeira, Wagner Júnior & Santini, Fernando, 2020. "A meta-analysis of the relationship between customer participation and brand outcomes," Journal of Business Research, Elsevier, vol. 117(C), pages 450-460.
    8. Hanna Górska-Warsewicz, 2022. "Consumer or Patient Determinants of Hospital Brand Equity—A Systematic Literature Review," IJERPH, MDPI, vol. 19(15), pages 1-36, July.
    9. Anesbury, Zachary William & Talbot, Danielle & Day, Chanel Andrea & Bogomolov, Tim & Bogomolova, Svetlana, 2020. "The fallacy of the heavy buyer: Exploring purchasing frequencies of fresh fruit and vegetable categories," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    10. Trinh, Giang & Wright, Malcolm J., 2022. "Predicting future consumer purchases in grocery retailing with the condensed Poisson lognormal model," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    11. Dawes, John, 2020. "The Natural Monopoly effect in brand purchasing: Do big brands really appeal to lighter category buyers?," Australasian marketing journal, Elsevier, vol. 28(2), pages 90-99.
    12. Trinh, Giang & Dawes, John, 2020. "A comparison of brand loyalty between on the go and take-home consumption purchases," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    13. H-Y Tsao & L Pitt & C Campbell, 2010. "Analysing consumer segments to budget for loyalty and promotion programmes and maximize market share," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(10), pages 1523-1529, October.
    14. Banelis, Melissa & Riebe, Erica & Rungie, Campbell M., 2013. "Empirical evidence of repertoire size," Australasian marketing journal, Elsevier, vol. 21(1), pages 59-65.
    15. Nenycz-Thiel, Magda & Sharp, Byron & Dawes, John & Romaniuk, Jenni, 2010. "Competition for memory retrieval between private label and national brands," Journal of Business Research, Elsevier, vol. 63(11), pages 1142-1147, November.
    16. Martina Zámková & Stanislav Rojík & Martin Prokop & Simona Činčalová & Radek Stolín, 2022. "Czech Consumers’ Preference for Organic Products in Online Grocery Stores during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(20), pages 1-14, October.
    17. Jung, Sang-Uk & Zhu, John & Gruca, Thomas S., 2016. "A meta-analysis of correlations between market share and other brand performance metrics in FMCG markets," Journal of Business Research, Elsevier, vol. 69(12), pages 5901-5908.
    18. Koll, Oliver & Plank, Andreas, 2022. "Do shoppers choose the same brand on the next trip when facing the same context? An empirical investigation in FMCG retailing," Journal of Retailing, Elsevier, vol. 98(4), pages 576-592.
    19. Trinh, Giang & Khan, Huda & Lockshin, Larry, 2020. "Purchasing behaviour of ethnicities: Are they different?," International Business Review, Elsevier, vol. 29(4).
    20. Mecredy, Philip & Wright, Malcolm J. & Feetham, Pamela, 2018. "Are promoters valuable customers? An application of the net promoter scale to predict future customer spend," Australasian marketing journal, Elsevier, vol. 26(1), pages 3-9.

    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:ormnsc:v:52:y:2006:i:11:p:1792-1798. 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.