IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v21y1975i8p858-871.html
   My bibliography  Save this article

Perceptor: A Model for Product Positioning

Author

Listed:
  • Glen L. Urban

    (Massachusetts Institute of Technology)

Abstract

A model and measurement methodology is proposed to aid managers in designing new frequently purchased consumer products. The model is structured as a trial and repeat process that produces an estimate of long-run share for a new brand. Physical and psychological product attributes are linked to the trial and repeat probabilities through multidimensional scaling procedures. Perceptual maps of existing brands with ideal brand positionings are derived. The product design determines the new brand's position in the perceptual space, and the distance from the new brand to the ideal brand specifies its probability of purchase. Measurement and estimation procedures are discussed. Predictive and structural tests of the model are reported, and a process for managerial implementation is presented. The outputs of the model are an understanding of the perception, preference, and purchase process, a framework and procedure for measurement, a structure to use in interpreting experimental results, and a tool for estimating the marketing share for alternate new brand designs.

Suggested Citation

  • Glen L. Urban, 1975. "Perceptor: A Model for Product Positioning," Management Science, INFORMS, vol. 21(8), pages 858-871, April.
    • Handle: RePEc:inm:ormnsc:v:21:y:1975:i:8:p:858-871
    DOI: 10.1287/mnsc.21.8.858
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.21.8.858
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.21.8.858?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
    ---><---

    Citations

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


    Cited by:

    1. John R. Hauser & Steven M. Shugan, 2008. "Defensive Marketing Strategies," Marketing Science, INFORMS, vol. 27(1), pages 88-110, 01-02.
    2. Ali Aouad & Vivek Farias & Retsef Levi, 2021. "Assortment Optimization Under Consider-Then-Choose Choice Models," Management Science, INFORMS, vol. 67(6), pages 3368-3386, June.
    3. Silk, Alvin J. & Urban, Glen L., 1976. "Pre-test market evaluation of new packaged goods : a model and measurement methodology," Working papers 834-76., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    4. Dawn Iacobucci & Doug Grisaffe, 2018. "Perceptual maps via enhanced correspondence analysis: representing confidence regions to clarify brand positions," Journal of Marketing Analytics, Palgrave Macmillan, vol. 6(3), pages 72-83, September.
    5. Hauser, John R. & Urban, Glen L., 1975. "A normative methodology for modeling consumer response to innovation," Working papers 785-75., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    6. Srikanth Jagabathula & Paat Rusmevichientong, 2017. "Nonparametric Joint Assortment and Price Choice Model," Management Science, INFORMS, vol. 63(9), pages 3128-3145, September.
    7. Hauser, John R. & Urban, Glen L., 1976. "Direct assessment of consumer utility functions : von Neumann-Morgenstern utility theory applied to marketing," Working papers 843-76A., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    8. Sibel Sozuer & Gregory S. Carpenter & Praveen K. Kopalle & Leigh M. McAlister & Donald R. Lehmann, 2020. "The past, present, and future of marketing strategy," Marketing Letters, Springer, vol. 31(2), pages 163-174, September.
    9. Rajaram, Kumar, 2001. "Assortment planning in fashion retailing: methodology, application and analysis," European Journal of Operational Research, Elsevier, vol. 129(1), pages 186-208, February.
    10. Brockhoff, Klaus (Ed.), 1977. "Three papers on optimal product positioning," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 51, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    11. John R. Hauser & Steven Shugan, 1978. "Intensity Measures of Consumer Preferences," Discussion Papers 291, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    12. Hauser, John R. & Koppelman, Frank S., 1977. "Designing Transportation Services: A Marketing Apporach," Transportation Research Forum Proceedings 1970s 318674, Transportation Research Forum.
    13. Wilhelm, Wilbert E. & Xu, Kaihong, 2002. "Prescribing product upgrades, prices and production levels over time in a stochastic environment," European Journal of Operational Research, Elsevier, vol. 138(3), pages 601-621, May.
    14. Sarangi, Subrat & Chakraborty, Abhishek & Triantis, Konstantinos P., 2021. "Multimarket competition effects on product line decisions – A multi-objective decision model in fast moving consumer goods industry," Journal of Business Research, Elsevier, vol. 133(C), pages 388-398.
    15. Kwong, C.K. & Luo, X.G. & Tang, J.F., 2011. "A methodology for optimal product positioning with engineering constraints consideration," International Journal of Production Economics, Elsevier, vol. 132(1), pages 93-100, July.

    More about this item

    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:ormnsc:v:21:y:1975:i:8:p:858-871. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.