THE TRANSFORMATIVE POWER OF AI IN MARKETING: A COMPREHENSIVE EXPLORATION
Keywords:
Artificial Intelligence, Marketing, Data Analysis, Customer Insights, PersonalizationAbstract
The marketing landscape is undergoing a significant transformation driven by the ever-evolving field of Artificial Intelligence (AI). This paper delves into the diverse applications of AI in marketing, analyzing its impact on various aspects of the discipline, including customer insights, content creation, personalization, advertising, and automation. By examining real-world examples and addressing potential challenges, the paper aims to provide a holistic understanding of how AI is revolutionizing the marketing landscape and empowering businesses to achieve unprecedented success.
References
“What AI Can and Can’t Do for Marketers,” Think with Google. [Online]. Available: https://www.thinkwithgoogle.com/marketing-strategies/automation/what-ai-can -and cant-do-for-marketers/
Sanjeev Verma, Rohit Sharma, Subhamay Deb, and Debojit Maitra, “Artificial intelligence in marketing: Systematic review and future research direction,” ScienceDirect, 2021 [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2667096820300021
Christian Hildebrand, “The Machine Age of Marketing: How Artificial Intelligence Changes the Way People Think, Act, and Decide,” ScienDo, 2019 [Online]. Available: https://sciendo.com/article/10.2478/nimmir-2019-0010
Abid Haleem, Mohd Javaid, Mohd Asim Qadri, Ravi Pratap Singh, and Rajiv Suman, “Artificial intelligence (AI) applications for marketing: A literature-based study,” ScienceDirect, 2022 [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2666603022000136
Chintalapati, S., & Pandey, S. K. (2022). “Artificial intelligence in marketing: A systematic literature review”. International Journal of Market Research, 64(1), 38-68 [Online]. Available: https://doi.org/10.1177/14707853211018428
De Mauro, A., Sestino, A. & Bacconi, A. Machine learning and artificial intelligence use in marketing: a general taxonomy. Ital. J. Mark. 2022, 439–457 (2022). [Online]. Available: https://doi.org/10.1007/s43039-022-00057-w
Yau, Kok-Lim Alvin, Norizan Mat Saad, and Yung-Wey Chong. 2021. "Artificial Intelligence Marketing (AIM) for Enhancing Customer Relationships" Applied Sciences 11, no. 18: 8562. https://doi.org/10.3390/app11188562
Perifanis, Nikolaos-Alexandros, and Fotis Kitsios. 2023. "Investigating the Influence of Artificial Intelligence on Business Value in the Digital Era of Strategy: A Literature Review" Information 14, no. 2: 85. https://doi.org/10.3390/info14020085
“How AI Can Scale Personalization and Creativity in Marketing,” Harvard Business Review, 2023. [Online]. Available:
https://hbr.org/sponsored/2023/08/how-ai-can-scale-personalization-and-creativity-in-marketing
“AI Chatbots: Our Top 18 Picks for 2023,” Hubspot, 2023. [Online]. Available: https://blog.hubspot.com/marketing/best-ai-chatbot
“5 charts showing how marketers are thinking about generative AI now that the hype has faded,” eMarketer, 2023. [Online]. Available:
“How Cadbury Is Using AI To Turn Shah Rukh Khan Into A Brand Ambassador For Local Kirana Stores,” Outlook, 2021. [Online]. Available:
Rohit Khankhoje, "Bridging the Gap: Selenium and RPA for Unparalleled Automation," International Journal on Cybernetics & Informatics (IJCI), vol. 13, no.1, pp. 23-29, 2024. DOI: 10.5121/ijci.2024.130103.
Jha, R. (2023). Predicting Purchasing Probability of E-Commerce Customers. Journal of Business and Strategic Management, 8(7), 19–28. https://doi.org/10.47941/jbsm.1590
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Copyright (c) 2024 Ananya Jha (Author)
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