IDEAS home Printed from https://ideas.repec.org/a/tdt/annals/vxviiiy2012p788-793.html
   My bibliography  Save this article

Using analytics for understanding the consumer online

Author

Listed:
  • Iulia-Adina ZARA
  • Bogdan Calin VELICU
  • Maria-Cristiana MUNTHIU
  • Mihaela TUTA

    (ACADEMY OF ECONOMIC STUDIES, BUCHAREST)

Abstract

To stay competitive companies need to understand the present consumer behavior and anticipate it for the future. As online businesses continue to grow and people spend more time on Internet, analytics services became essential in this new world of communication, globalization and localization. Web analytics provide invaluable insights into the behavior of visitors and consumers. The purpose of this paper is to analyze how the analytics data can be effectively used for understanding the present consumer behavior. The result shows that through the use of analytics a company can predict the future consumer behavior and tailor specific messages and promotions sent to each individual. Patterns and anomalies identified at this step can help improve overall understanding of business processes and web site content and design.

Suggested Citation

  • Iulia-Adina ZARA & Bogdan Calin VELICU & Maria-Cristiana MUNTHIU & Mihaela TUTA, 2012. "Using analytics for understanding the consumer online," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 788-793, May.
  • Handle: RePEc:tdt:annals:v:xviii:y:2012:p:788-793
    as

    Download full text from publisher

    File URL: http://fse.tibiscus.ro/anale/Lucrari2012/kssue2012_129.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    web analytics; consumer behavior; business online;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General

    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:tdt:annals:v:xviii:y:2012:p:788-793. 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: Ramona Violeta Vasilescu (email available below). General contact details of provider: https://edirc.repec.org/data/fettiro.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.