“Developing a Smart Marketing Model with Machine Learning for Data-Driven Decision Making "

Authors

  • Kheiralah Rahseparfard, Muntasser Hamzah

Keywords:

Smart Marketing Model, Machine Learning, Data-Driven Decision Making, Marketing Strategies, Data Analytics, Consumer Behavior Prediction, Marketing Campaigns, Marketing Campaigns.

Abstract

The rapid advancement of technology and the proliferation of data in the modern business landscape have highlighted the critical role of data-driven decision making in marketing strategies. This proposal outlines a comprehensive approach to developing a Smart Marketing Model empowered by machine learning techniques to enhance decision-making processes within marketing campaigns. Leveraging cutting-edge machine learning algorithms and data analytics, this proposed model aims to harness valuable insights from diverse marketing data sources, predict consumer behavior, optimize marketing strategies, and ultimately drive improved outcomes. By integrating machine learning into marketing processes, businesses can elevate their marketing endeavors to a new level of precision and effectiveness, enabling them to adapt swiftly to dynamic market demands and achieve a competitive edge. This proposal sets forth a detailed methodology, potential benefits, and key considerations for implementing this innovative Smart Marketing Model, demonstrating its potential to revolutionize the way marketing strategies are devised, executed, and refined.

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References

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Published

26.03.2024

How to Cite

Kheiralah Rahseparfard. (2024). “Developing a Smart Marketing Model with Machine Learning for Data-Driven Decision Making ". International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 4300–4309. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6288

Issue

Vol. 12 No. 21s (2024)

Section

Research Article

License

Creative Commons License

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