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Machine learning and AI in marketing analytics: Leveraging the survey data to find customers

Author

Listed:
  • Fogarty, David

    (Associate Professor, National University, USA)

  • Cui, Xinlei

    (Graduate Research Assistant, New York University, Stern School of Business, USA)

Abstract

The field of marketing analysis in the digital era faces numerous challenges. Despite the availability of vast amounts of structured and unstructured data, practitioners have yet to fully harness the potential of machine learning models. This paper addresses this gap by investigating how to find targeted customers and expand the emerging market by implementing machine learning models to process survey text data and provides empirical evidence through model evaluation experiments. The research problem focuses on demonstrating the effectiveness of machine learning and AI models in optimising value creation and enhancing competitive advantages in marketing practices. The paper employs mixed methods and presents experimental results, leading to conclusions highlighting the benefits of improving data quality to strengthen the performance of machine learning models. This research also provides insights into model selection and offers a foundation for future researchers and marketing analysts to interpret and evaluate machine learning models effectively by multiple efficient metrics.

Suggested Citation

  • Fogarty, David & Cui, Xinlei, 2024. "Machine learning and AI in marketing analytics: Leveraging the survey data to find customers," Applied Marketing Analytics: The Peer-Reviewed Journal, Henry Stewart Publications, vol. 10(2), pages 158-175, September.
  • Handle: RePEc:aza:ama000:y:2024:v:10:i:2:p:158-175
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    More about this item

    Keywords

    machine learning; marketing; artificial intelligence; automated classification; consumer targeting; analytics;
    All these keywords.

    JEL classification:

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

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