MACHINE LEARNING APPLIED TO DIGITAL MARKETING

Authors

DOI:

https://doi.org/10.47820/recima21.v3i6.1618

Keywords:

research addressed the theme Machine Learning

Abstract

This research addressed the theme Machine Learning applied to Digital marketing. Digital marketing is an industry that is constantly envisioning new opportunities and challenges and among them is the use of machine learning. This research has the general objective to describe how machine learning algorithms can help to find ways to predict the best platforms for advertising so, the specific objectives will be to present and define what digital marketing is, to present the main concepts about machine learning, relate machine learning to digital marketing and finally describe the best algorithms applied to marketing data. Finally, we conclude that if the goal of digital marketers is to increase engagement and brand awareness with leads, it is important that they understand their customers. Machine learning does not replace existing digital marketing jobs. Instead, it will help expand the capabilities of the modern digital marketer, providing a foundation that allows them to reach their full potential.

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Author Biographies

Fernando Henrique Pereira

Universidade de Araraquara - UNIARA

Renata Mirella Farina

Universidade de Araraquara - UNIARA

Fabiana Florian

Universidade de Araraquara - UNIARA

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Published

26/06/2022

How to Cite

Henrique Pereira, F., Mirella Farina, R., & Florian, F. (2022). MACHINE LEARNING APPLIED TO DIGITAL MARKETING. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 3(6), e361618. https://doi.org/10.47820/recima21.v3i6.1618