IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v10y1980i3p40-44.html
   My bibliography  Save this article

A Multiattribute Model for Evaluating Industrial Customer's Potential

Author

Listed:
  • Warren S. Martin

    (University of Alabama in Birmingham, University Station, Birmingham, Alabama 35294)

  • Al Barcus

    (Delta Petroleum Corporation, 1 summit Avenue, Suite 1010, Fort Worth, Texas 76102)

Abstract

There are two main reasons that industrial marketers give for not using customer marketing analysis techniques. The first is simply that many of them feel that they don't have the time or money to invest in such practices. The second is a lack of faith in sophisticated marketing analysis studies. They do not believe the complex methods of analysis can be applied to their environment. Additionally, there is a tendency to be secretive and to resist change. In spite of these difficulties, industrial marketers need help in dividing marketing efforts among markets, products, and accounts. A solution to this problem is the creation of a simple-to-understand and easy-to-use multiattribute model for evaluating a customer's potential.The use of multiattribute models in marketing has primarily dealt with brand choice. This paper presents an alternative method of applying the same tool.

Suggested Citation

  • Warren S. Martin & Al Barcus, 1980. "A Multiattribute Model for Evaluating Industrial Customer's Potential," Interfaces, INFORMS, vol. 10(3), pages 40-44, June.
  • Handle: RePEc:inm:orinte:v:10:y:1980:i:3:p:40-44
    DOI: 10.1287/inte.10.3.40
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.10.3.40
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.10.3.40?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
    ---><---

    More about this item

    Keywords

    marketing: new products;

    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:orinte:v:10:y:1980:i:3:p:40-44. 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.