IDEAS home Printed from https://ideas.repec.org/a/ids/ijemre/v11y2020i3p259-277.html
   My bibliography  Save this article

Identifying key performance indicators for marketing strategies in mobile applications: a systematic literature review

Author

Listed:
  • Ana Reyes-Menendez
  • Jose Ramon Saura
  • Pedro Palos-Sanchez

Abstract

In practice marketing can and should play an important role in mobile applications when formulating marketing strategies. The aim of this article is to identify the main KPIs to measure the effect of marketing strategies in mobile applications. To achieve this goal, we carried out a systematic literature review (SLR) on the topic of mobile applications and marketing strategies. The search terms consulted in the databases were KPIs, marketing and mobile applications obtaining a total of n = 1,088 studies. The databases consulted to extract data where Scopus, PubMed, PsyINFO, ScienceDirect and Web of Science. The results obtained in this research were the identification, development and analysis of the main quantitative and qualitative KPIs to measure the effect of marketing strategies in mobile applications. Furthermore, we name the main scientific journals developing further studies on this subject, as well as on the most relevant topics within the industry. The results of the research can be used to enhance mobile APP marketing strategy analysis and thus, enhance their development, both in the scientific and the professional sectors.

Suggested Citation

  • Ana Reyes-Menendez & Jose Ramon Saura & Pedro Palos-Sanchez, 2020. "Identifying key performance indicators for marketing strategies in mobile applications: a systematic literature review," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 11(3), pages 259-277.
  • Handle: RePEc:ids:ijemre:v:11:y:2020:i:3:p:259-277
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=108126
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Myoung-Jin Chae, 2021. "Driving Consumer Engagement through Diverse Calls to Action in Corporate Social Responsibility Messages on Social Media," Sustainability, MDPI, vol. 13(7), pages 1-22, March.
    2. Shan Gao & Ye Zhang & Wenhui Liu, 2021. "How Does Risk-Information Communication Affect the Rebound of Online Public Opinion of Public Emergencies in China?," IJERPH, MDPI, vol. 18(15), pages 1-14, July.

    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:ids:ijemre:v:11:y:2020:i:3:p:259-277. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=43 .

    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.