IDEAS home Printed from https://ideas.repec.org/a/aza/ama000/y2023v9i1p45-53.html
   My bibliography  Save this article

Which key performance indicators should be used to establish a lead scoring strategy for customer relationship management?

Author

Listed:
  • Suárez, Sergio

    (PhD Student, Rey Juan Carlos University, Spain)

  • Reyes-Menendez, Ana

    (Assistant Professor, Rey Juan Carlos University, Spain)

Abstract

Customer data has always been a company's most valuable asset, but now it increasingly represents the cornerstone of any company's marketing strategy. Therefore, this data must be optimised and leveraged effectively. This research aims to identify which Key Performance Indicators (KPIs) are essential for enabling personalised treatment of customers through the organisation's marketing strategy, using a lead scoring strategy to provide a different experience to each customer segment depending on their life cycle stage (top of the funnel awareness, middle of the funnel selection, bottom of the funnel ready to purchase). A survey was carried out of leaders in the advertising sector to understand their opinions on, and practices with, the different KPIs that this type of strategy should include.

Suggested Citation

  • Suárez, Sergio & Reyes-Menendez, Ana, 2023. "Which key performance indicators should be used to establish a lead scoring strategy for customer relationship management?," Applied Marketing Analytics: The Peer-Reviewed Journal, Henry Stewart Publications, vol. 9(1), pages 45-53, June.
  • Handle: RePEc:aza:ama000:y:2023:v:9:i:1:p:45-53
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/7756/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/7756/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

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

    More about this item

    Keywords

    CRM; user profiling; lead scoring; big data; customer data platform; marketing automation; personalisation; targeting; Key Performance Indicators; KPI;
    All these keywords.

    JEL classification:

    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising

    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:aza:ama000:y:2023:v:9:i:1:p:45-53. 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: Henry Stewart Talks (email available below). General contact details of provider: .

    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.