IDEAS home Printed from https://ideas.repec.org/a/ids/ijbfmi/v5y2019i2p241-248.html
   My bibliography  Save this article

Cross selling of investment products and services: a case study of leading financial services organisation

Author

Listed:
  • Saibal Dutta
  • Sujoy Bhattacharya

Abstract

We have utilised 360-degree view of the customer information from multiple aspects of financial transaction, product purchase history and account details and provide insights to marketing teams in identifying the potential customers who can be targeted for cross sell of different financial investment products. Advanced analytics algorithms and statistical techniques like deep learning, neural network and logistic regression were applied on the transformed data to predict likelihood of cross sell response different financial product. The analysis of customer data helps to identify the potential customers who can be targeted for cross sell of different investment products and services. The result indicates deep leaning approach provide outstanding performance compare to neural network and logistic regression.

Suggested Citation

  • Saibal Dutta & Sujoy Bhattacharya, 2019. "Cross selling of investment products and services: a case study of leading financial services organisation," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 5(2), pages 241-248.
    • Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:2:p:241-248
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=101608
    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.

    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:ijbfmi:v:5:y:2019:i:2:p:241-248. 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=156 .

    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.