IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-658-38227-8_24.html
   My bibliography  Save this book chapter

Learning Journey to Optimise the Sales Floor: How to Use Our Understanding of Customer Behaviour

In: Multisensory in Stationary Retail

Author

Listed:
  • Jan Hillesland

    (Link Analytix Global)

Abstract

We still generate the largest retail sales not online, but on site. For this reason, it is advisable to invest specifically in the further development of stationary trade. This chapter shows how to respond to the needs of customers as well as how to achieve higher sales and profits. After all, despite cost pressures, there are good and proven methods for incorporating actual customer behavior into the optimization of store and shelf space. How does the space affect people and how do we behave in it – consciously and unconsciously? With the help of in-store tracking, the sales floor can be used as a test studio and hypotheses can be tested directly and unbiased. The following findings are based on the results of eye-tracking studies and video analyses. To give just one example: Customers perceive only 1% of the products in the store. Which factors play a role in this?

Suggested Citation

  • Jan Hillesland, 2023. "Learning Journey to Optimise the Sales Floor: How to Use Our Understanding of Customer Behaviour," Springer Books, in: Gunnar Mau & Markus Schweizer & Christoph Oriet (ed.), Multisensory in Stationary Retail, chapter 24, pages 363-375, Springer.
  • Handle: RePEc:spr:sprchp:978-3-658-38227-8_24
    DOI: 10.1007/978-3-658-38227-8_24
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-3-658-38227-8_24. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.