AI-Powered Personalization in Digital Marketing: Transforming Consumer Engagement and Strategy
Year: 2024
Type: article
Abstract: Artificial Intelligence (AI) is transforming digital marketing by enabling hyper-personalized customer experiences. This paper examines how AI-driven tools leverage advanced data analytics, machine learning, and predictive modeling to analyze consumer behavior, forecast preferences, and craft targeted marketing strategies. By exploring real-world case studies, the paper highlights the successful implementation of AI personalization across various industries. Additionally, it addresses the challenges faced—such as data privacy concerns, algorithmic bias, and integration complexity—while shedding light on future trends, including adaptive AI systems and ethical AI frameworks. This review underscores AI's pivotal role in enhancing customer engagement, improving return on investment (ROI), and driving innovation in the digital marketing landscape.
Authors: Anita Gungunawat, Naman Khandelwal, Nidhi Gupta
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405822060