ENHANCING TRADITIONAL MARKETING CHANNELS WITH AI: A HOLISTIC APPROACH

This article explores the integration of artificial intelligence (AI) technologies into traditional marketing channels, examining how AI can revitalize and enhance the effectiveness of print media, television, radio, and outdoor advertising in an increasingly digital landscape. The study investigates AI-driven techniques for optimizing ad placement, content creation, and audience targeting within these established mediums. Through an analysis of industry reports, case studies, and academic research, the article demonstrates how machine learning, natural language processing, and computer vision can significantly improve marketing ROI, audience engagement, and operational efficiency. The research also addresses the challenges and ethical considerations associated with AI adoption in marketing, including data privacy concerns, potential job displacement, and maintaining brand authenticity. By presenting a comprehensive overview of AI applications in traditional marketing channels, this article provides insights into how businesses can leverage AI to create more cohesive and effective marketing strategies that bridge the gap between conventional and digital approaches.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-04
DOI
https://doi.org/10.5281/zenodo.13889681
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

ENHANCING TRADITIONAL MARKETING CHANNELS WITH AI: A HOLISTIC APPROACH

Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

ENHANCING TRADITIONAL MARKETING CHANNELS WITH AI: A HOLISTIC APPROACH

article en

Abstract

This article explores the integration of artificial intelligence (AI) technologies into traditional marketing channels, examining how AI can revitalize and enhance the effectiveness of print media, television, radio, and outdoor advertising in an increasingly digital landscape. The study investigates AI-driven techniques for optimizing ad placement, content creation, and audience targeting within these established mediums. Through an analysis of industry reports, case studies, and academic research, the article demonstrates how machine learning, natural language processing, and computer vision can significantly improve marketing ROI, audience engagement, and operational efficiency. The research also addresses the challenges and ethical considerations associated with AI adoption in marketing, including data privacy concerns, potential job displacement, and maintaining brand authenticity. By presenting a comprehensive overview of AI applications in traditional marketing channels, this article provides insights into how businesses can leverage AI to create more cohesive and effective marketing strategies that bridge the gap between conventional and digital approaches.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 68%
AI in Service Interactions
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