Year: 2026
Type: article
Abstract: The rapid advancement of Artificial Intelligence (AI) has transformed the marketing landscape, creating a strategic shift from traditional approaches to data-driven, personalized, and technology-enabled practices. This article explores the key differences between AI-driven and traditional marketing, emphasizing how changing consumer expectations and technological developments are reshaping business strategies. Traditional marketing, based on mass communication, limited personalization, and one-way interaction, has been effective for building brand awareness through media such as print, television, and radio. However, it faces challenges including high costs, limited measurability, and lack of real-time responsiveness. In contrast, AI-driven marketing utilizes machine learning, predictive analytics, and automation to deliver highly targeted and personalized customer experiences. It enables organizations to analyze vast amounts of data, predict consumer behavior, and engage customers through interactive and real-time channels. This transition is driven by the growing availability of data, demand for personalization, and the need for improved efficiency and return on investment.
Authors: Dr. Sanjay Kumar Padhy, (Dr) G. Mahesh
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7154032610
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