Predictive marketing

future challenges in the implementation and use of algorithms and artificial intelligence

Authors

  • Luciano Augusto Toledo Universidade Presbiteriana Mackenzie
  • Abayomi Diana Benone Calazans Muranyi Ki Universidade Presbiteriana Mackenzie

Keywords:

Predictive marketing, algorithms, artificial intelligence

Abstract

This scientific paper formatted in the form of scientific essay addresses the importance of predictive marketing as a strategic approach that uses algorithms and artificial intelligence to predict consumer behavior and optimize marketing campaigns in real time.  However, the implementation of predictive marketing presents challenges for marketing managers, including the lack of skills needed to handle algorithms and artificial intelligence, the need for accurate data management, and concern for consumer privacy. This study provides relevant information to marketing managers looking to implement predictive marketing in their campaigns in order to help them overcome challenges and achieve success in their marketing strategies.

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Author Biographies

Luciano Augusto Toledo, Universidade Presbiteriana Mackenzie

PhD in administration and professor at Universidade Presbiteriana Mackenzie

Abayomi Diana Benone Calazans Muranyi Ki , Universidade Presbiteriana Mackenzie

Bachelor's degree in business administration

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Published

2024-05-20

How to Cite

Toledo, L. A., & Ki , A. D. B. C. M. (2024). Predictive marketing: future challenges in the implementation and use of algorithms and artificial intelligence. Práticas Em Contabilidade E Gestão, 11(4). Retrieved from http://editorarevistas.mackenzie.br/index.php/pcg/article/view/16962