The Usefulness of Machine Learning in Digital Marketing

The digital marketing landscape has evolved rapidly in recent years, fuelled by the ever-increasing volume and sophistication of data collected on customer behaviour. In this dynamic environment, machine learning has emerged as a transformative tool, empowering marketers to harness the power of data and make informed decisions that drive engagement and growth. This paper delves into the multifaceted applications of machine learning in digital marketing, exploring its ability to enhance personalization, optimize ad campaigns, personalize content, and automate tasks. By leveraging machine learning techniques, marketers can gain deeper insights into customer preferences, identify untapped opportunities, and deliver tailored experiences that resonate with their target audience. This, in turn, leads to increased customer engagement, improved conversion rates, and enhanced brand loyalty. As machine learning continues to advance, its impact on digital marketing is poised to grow even more profound, shaping the future of customer interactions and business success.

Authors

Publication Details

Journal
Risk in Contemporary Economy
Published
2024-08-31
DOI
https://doi.org/10.35219/rce20670532168
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

The Usefulness of Machine Learning in Digital Marketing

Christine Anne George, Chirita Mioara
Risk in Contemporary Economy
Digital Marketing and Social Media
article

The Usefulness of Machine Learning in Digital Marketing

Christine Anne George, Chirita Mioara
article en

Abstract

The digital marketing landscape has evolved rapidly in recent years, fuelled by the ever-increasing volume and sophistication of data collected on customer behaviour. In this dynamic environment, machine learning has emerged as a transformative tool, empowering marketers to harness the power of data and make informed decisions that drive engagement and growth. This paper delves into the multifaceted applications of machine learning in digital marketing, exploring its ability to enhance personalization, optimize ad campaigns, personalize content, and automate tasks. By leveraging machine learning techniques, marketers can gain deeper insights into customer preferences, identify untapped opportunities, and deliver tailored experiences that resonate with their target audience. This, in turn, leads to increased customer engagement, improved conversion rates, and enhanced brand loyalty. As machine learning continues to advance, its impact on digital marketing is poised to grow even more profound, shaping the future of customer interactions and business success.

Risk in Contemporary EconomyVol. 23
Openalex Percentile: Top 57%
Digital Marketing and Social Media
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The Usefulness of Machine Learning in Digital Marketing — Christine Anne George, Chirita Mioara · Risk in Contemporary Economy (2024) | TGRS Research Map | TGRS