IDEAS home Printed from https://ideas.repec.org/h/spr/eurchp/978-3-031-36286-6_6.html
   My bibliography  Save this book chapter

Google Analytics Best Practices in Slovak and Czech Online Business

In: Eurasian Business and Economics Perspectives

Author

Listed:
  • Miroslav Reiter

    (Comenius University in Bratislava)

  • Andrej Miklosik

    (Comenius University in Bratislava)

Abstract

This paper describes some of the typical mistakes in web analytics in various organizations. It identifies the most common errors in Google Analytics accounts. We have also compiled a list of best practices for using Google Analytics by online businesses. The basis of our research was an audit of data from Google Analytics accounts of selected Slovak and Czech companies that sell their products and provide services through e-shops. The qualitative research was conducted through personal, semi-structured interviews with two web analytics experts who are Google-certified trainers. Web analytics, measurement, and Google Analytics are of great importance to any type of organization regardless of its size. That is why we attempted to highlight the most common mistakes and compile a list of recommendations applicable to most e-shops. Individual errors are categorized according to the group of problems and their severity. Web analytics and measurement are key to the continuous improvement of products and services not only in online business. If an organization is to improve, it needs the most accurate information about traffic, users, and conversions such as purchases, sign-ups, video and content viewing, and more. The main aim of this paper is to provide a list of specific analytics recommendations for any of the websites and e-shops in Google Analytics to support online business.

Suggested Citation

  • Miroslav Reiter & Andrej Miklosik, 2023. "Google Analytics Best Practices in Slovak and Czech Online Business," Eurasian Studies in Business and Economics, in: Mehmet Hüseyin Bilgin & Hakan Danis & Ender Demir & Leszek Wincenciak & S. Tolga Er (ed.), Eurasian Business and Economics Perspectives, pages 101-112, Springer.
  • Handle: RePEc:spr:eurchp:978-3-031-36286-6_6
    DOI: 10.1007/978-3-031-36286-6_6
    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.

    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:eurchp:978-3-031-36286-6_6. 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.