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Predictive Modeling in Marketing Analytics: A Comparative Study of Algorithms and Applications in E-Commerce Sector

Author

Listed:
  • Abdallah Q. Bataineh

    (Al-Zaytoonah University of Jordan)

  • Ibrahim A. Abu-Alsondos

    (AUE - American University in the Emirates - الجامعة الأمريكية في الإمارات - AUD - American University in Dubai)

  • Rana Husseini Frangieh

    (SUAD - Sorbonne University Abu Dhabi)

  • Anas A. Salameh

    (PSAU - Prince Sattam Bin Abdul-Aziz University)

  • Ibrahim Ali Alnajjar

    (AUE - American University in the Emirates - الجامعة الأمريكية في الإمارات - AUD - American University in Dubai)

Abstract

This paper examines marketing analytics within the context of E-commerce in Jordan. A variety of algorithms are analyzed in-depth, along with their numerous applications. Together, these eminent e-commerce companies conducted research. According to the evidence, incorporating prediction techniques strengthens the relationship between strategic decision-making processes and positive business outcomes. Comparing the effects of predictive modeling on company decision-making and online sales productivity in Jordan's internet retail sector, these findings are highly significant in various specialist circles and scholarly works pursuing similar lines of inquiry. Utilizing predictive methods, businesses can gain valuable insights to solidify their leadership position and enhance their market standing. By utilizing predictive analytics, Jordanian e-tailers can improve their marketing strategies, increase revenue, and foster continuous development through in-depth model analysis. This article analyzes in great depth how predictive modeling improves decision-making and achieves success in the fast-paced online retail environment.

Suggested Citation

  • Abdallah Q. Bataineh & Ibrahim A. Abu-Alsondos & Rana Husseini Frangieh & Anas A. Salameh & Ibrahim Ali Alnajjar, 2024. "Predictive Modeling in Marketing Analytics: A Comparative Study of Algorithms and Applications in E-Commerce Sector," Post-Print hal-04931867, HAL.
    • Handle: RePEc:hal:journl:hal-04931867
    as

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