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Why AI in Digital Marketing is Making Traditional Methods Obsolete

Author(s) Sudheer Peddineni Kalava
Country United States
Abstract AI has transformed how businesses connect with their target audiences in marketing. This paper shows the change from conventional marketing to AI-powered strategies. We analyze the technical capabilities that make traditional methods less effective today. Machine learning algorithms, natural language processing, and computer vision technologies now boost marketing precision and personalization.
Our study uses quantitative analysis to compare performance metrics between AI-driven and traditional marketing campaigns. We also evaluate the technical infrastructure needs. The paper gives an explanation about implementation challenges. These include data privacy concerns and technical skill requirements that marketing teams need as they move to AI-powered systems.
The research offers a detailed look at benefits and cost metrics when teams adopt AI marketing tools. Real case studies show measurable improvements in campaign performance, customer engagement, and conversion rates. Organizations can find practical ways to add AI capabilities to their marketing infrastructure through our technical framework.
Emerging trends in AI marketing technology shape our final assessment. We present a well-laid-out approach for organizations to create integration roadmaps. The research focuses on risk management strategies and technical requirements that lead to successful AI implementation in marketing. Marketing professionals and organizations will find this piece useful to understand and apply AI-driven marketing solutions effectively.
Keywords: artificial intelligence in marketing, digital marketing and ai, impact of ai in digital marketing, future of ai in digital marketing, machine learning, predictive analytics, natural language processing
Keywords Artificial Intelligence Marketing, Digital Marketing Transformation, Machine Learning Applications, Predictive Analytics, Natural Language Processing, Computer Vision Marketing, Marketing Automation, AI-Driven Customer Segmentation, Marketing ROI Analysis, Analytical Marketing, Marketing Performance Metrics, AI Implementation Strategy, Marketing Infrastructure, State-of-the-art Digital Marketing, Marketing Technology Integration, Privacy-Compliant Marketing, AI Risk Management, Marketing Resource Optimization, Customer Behavior Analysis, Marketing Personalization
Field Engineering
Published In Volume 5, Issue 12, December 2024
Published On 2024-12-04
Cite This Why AI in Digital Marketing is Making Traditional Methods Obsolete - Sudheer Peddineni Kalava - IJLRP Volume 5, Issue 12, December 2024. DOI 10.5281/zenodo.14995969
DOI https://doi.org/10.5281/zenodo.14995969
Short DOI https://doi.org/g87h7m
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