IDEAS home Printed from https://ideas.repec.org/a/taf/tstfxx/v1y2017i1p3-14.html
   My bibliography  Save this article

Funnel testing in webpage optimisation: representation, design and analysis

Author

Listed:
  • Heng Su
  • C. F. Jeff Wu

Abstract

When optimizing webpages in order to achieve the best conversion rate, the traditional approach is to isolate and analyze them separately through a sequence of experiments. In this paper, we propose a new framework to study a system of webpages simultaneously through the use of directed graph, fractional factorial design and simple optimization algorithm. The illustrative example shows that such complicated web systems can be easily studied and optimized by using the proposed methodology.

Suggested Citation

  • Heng Su & C. F. Jeff Wu, 2017. "Funnel testing in webpage optimisation: representation, design and analysis," Statistical Theory and Related Fields, Taylor & Francis Journals, vol. 1(1), pages 3-14, January.
  • Handle: RePEc:taf:tstfxx:v:1:y:2017:i:1:p:3-14
    DOI: 10.1080/24754269.2017.1332964
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24754269.2017.1332964
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/24754269.2017.1332964?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:tstfxx:v:1:y:2017:i:1:p:3-14. 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 Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tstf .

    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.