Exploring the Transformative Role of Machine Learning in Predictive Marketing: Enhancing Customer Targeting and Addressing Privacy Challenges

Machine learning (ML) is playing a transformative role in predictive marketing. This article explores the specific applications of machine learning and the challenges it presents, how it gives businesses a competitive edge in the market, and the risks they need to manage. Predictive marketing is the use of machine learning algorithms to analyze historical data, identify patterns, and predict future customer behavior. Machine learning plays an important role in predictive marketing. Marketers can develop personalized marketing strategies that anticipate customer behavior, reduce customer churn, and optimize deal pricing to gain a market advantage. However, certain applications of machine learning can also raise privacy and transparency issues. Companies need to comply with data protection regulations and prevent data breaches. At the same time, companies also need to pay attention to the accuracy of the data and prevent significant errors in the results of machine learning algorithms from causing serious harm to companies.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/cnteie66268.2024.00021
Primary Topic
Big Data and Business Intelligence
Type
article
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0.00
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article

Exploring the Transformative Role of Machine Learning in Predictive Marketing: Enhancing Customer Targeting and Addressing Privacy Challenges

Jing Zhang
Big Data and Business Intelligence
article

Exploring the Transformative Role of Machine Learning in Predictive Marketing: Enhancing Customer Targeting and Addressing Privacy Challenges

Jing Zhang
article en

Abstract

Machine learning (ML) is playing a transformative role in predictive marketing. This article explores the specific applications of machine learning and the challenges it presents, how it gives businesses a competitive edge in the market, and the risks they need to manage. Predictive marketing is the use of machine learning algorithms to analyze historical data, identify patterns, and predict future customer behavior. Machine learning plays an important role in predictive marketing. Marketers can develop personalized marketing strategies that anticipate customer behavior, reduce customer churn, and optimize deal pricing to gain a market advantage. However, certain applications of machine learning can also raise privacy and transparency issues. Companies need to comply with data protection regulations and prevent data breaches. At the same time, companies also need to pay attention to the accuracy of the data and prevent significant errors in the results of machine learning algorithms from causing serious harm to companies.

Australian National University (AU)
Openalex Percentile: Top 52%
Big Data and Business Intelligence
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