December 4, 2023Journal of Posthumanism

IT Management Strategies for Implementing Personalized Marketing with Machine Learning in the U.S. Retail Sector

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Authors

MHMd Azhad Hossain AHA. S. M. Sanwar HosenWoosong University AAArifa AhmedAmerican University

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Implication

Analysis shows significant improvements in customer engagement through machine learning personalization in retail, suggesting effective strategies for managers.

Key Points

Significant improvements in engagement metrics were reported by businesses using machine learning for personalization.
Employing predictive analytics led to higher conversion rates, indicating effective marketing strategies for retailers.
The research involved analyzing extensive datasets from both online and in-store transactions to understand customer behaviors.
Integrating data-driven insights into marketing strategies highlights the transformative potential of machine learning in retail.

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Hossain et al. (2023) studied this question.

synapsesocial.com/papers/68af80717567bf4f94ff709b https://doi.org/10.63332/joph.v3i3.2586

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Implication

Analysis shows significant improvements in customer engagement through machine learning personalization in retail, suggesting effective strategies for managers.

IT Management Strategies for Implementing Personalized Marketing with Machine Learning in the U.S. Retail Sector

Discussion

Member takes

Implication

Key Points

Cite This Study

IT Management Strategies for Implementing Personalized Marketing with Machine Learning in the U.S. Retail Sector

Discussion

Member takes

Implication

Key Points

Cite This Study

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