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Machine Learning and Marketing Strategies Cover

Abstract

In a world undergoing continuous and accelerated digital transformation, Machine Learning (ML) is one of the most important technologies in the field of Artificial Intelligence that shapes the modern economy. ML plays a crucial role in economics, marketing, and beyond, transforming the way companies make decisions and optimize their processes. In economics, ML helps analyze large volumes of data to predict market trends, identify growth opportunities, and manage financial risks. In marketing, ML-based technologies allow for the personalization of consumer experiences through automated recommendations and targeted advertising, improving campaign efficiency and maximizing ROI (Return on Investment). Also, by analyzing customer behavior, companies can anticipate their needs and adjust strategies in real time. Thus, ML becomes an essential tool for adaptability and success in a dynamic economic environment. ML has also the ability to provide the most competitive solutions in many areas. This article presents the concept of ML, how ML can contribute to providing solutions in marketing, as well as an example of how to use ML in marketing using two specific classification algorithms and also a specific ML software. The paper contains six sections, namely Introduction, Literature review, ML and Marketing, Methodology, Results and discussions and finally a Conclusions section.

Language: English
Page range: 5894 - 5907
Published on: Jul 22, 2026
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Radu-Ioan MOGOȘ, Loredana-Gabriela DINULESCU, Cătălin-Răzvan DOBREA, Daniel ȘOLDAN, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.