AI-Powered Personalization in Digital Marketing: Transforming Consumer Engagement and Strategy
DOI:
https://doi.org/10.31305/rrijm.2024.v09.n11.026Keywords:
AI-powered personalization, digital marketing, machine learning, recommendation systems, customer engagement, targeted advertising, content personalization, chatbots, predictive analyticsAbstract
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.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This is an open access article under the CC BY-NC-ND license Creative Commons Attribution-Noncommercial 4.0 International (CC BY-NC 4.0).
