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Machine learning and artificial intelligence use in marketing: a general taxonomy

Author

Listed:
  • Andrea Mauro

    (University of Rome Tor Vergata)

  • Andrea Sestino

    (University of Bari Aldo Moro)

  • Andrea Bacconi

    (Ecole Polytechnique - HEC Paris)

Abstract

The emergence of consumer-generated data and the growing availability of Machine Learning (ML) techniques are revolutionizing marketing practices. Marketers and researchers are far from having a thorough understanding of the broad range of opportunities ML applications offer in creating and maintaining a competitive business advantage. In this paper, we propose a taxonomy of ML use cases in marketing based on a systematic review of academic and business literature. We have identified 11 recurring use cases, organized in 4 homogeneous families which correspond to the fundamentals leverage areas of ML in marketing, namely: shopper fundamentals, consumption experience, decision making, and financial impact. We discuss the recurring patterns identified in the taxonomy and provide a conceptual framework for its interpretation and extension, highlighting practical implications for marketers and researchers.

Suggested Citation

  • Andrea Mauro & Andrea Sestino & Andrea Bacconi, 2022. "Machine learning and artificial intelligence use in marketing: a general taxonomy," Italian Journal of Marketing, Springer, vol. 2022(4), pages 439-457, December.
    • Handle: RePEc:spr:ijmark:v:2022:y:2022:i:4:d:10.1007_s43039-022-00057-w
    DOI: 10.1007/s43039-022-00057-w
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    References listed on IDEAS

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