Leveraging Artificial Intelligence for Enhanced Digital Marketing: Strategies, Applications, and Future Directions

Authors

  • Mr. Vijay Arpudaraj Antonyraj Data & Analytics: Equifax, United States

Keywords:

AI,Machine Learning,Digital Marketing, Behavioral Analysis,GenAI,Predictive Analytics,

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in digital marketing, revolutionizing how businesses engage with customers and optimize their marketing strategies. This abstract summarizes the key applications, benefits, and future directions of AI in digital marketing. AI in digital marketing leverages advanced algorithms, machine learning, and data analytics to automate decision-making processes, personalize customer experiences, and enhance campaign performance. Key applications include content creation, predictive analytics, customer segmentation, and automated ad placement. AI-powered tools analyze vast amounts of consumer data to generate actionable insights, enabling marketers to craft more targeted and effective campaigns.Between data, content, customers, and adapting to the changing marketing landscape, marketing teams can easily feel like running uphill.The future of AI in digital marketing is poised to revolutionize how businesses engage with customers and optimize their marketing strategies.This article explores the multifaceted roles AI can play in digital marketing, examines current best practices, and highlights potential challenges and future trends. By analyzing AI-driven personalization, predictive analytics, and automation, it provides a roadmap for marketers seeking to harness the power of AI responsibly and effectively.

Downloads

Download data is not yet available.

References

Anshari, Almunawar, Lim, & Al-Mudimigh, 2018 Customer relationship management and big data-enabled: Personalization & customization of services Applied Computing and Informatics, 15 (2) (2018), pp. 94-101

11 Powerful Uses of AI in Marketing https://www.synthesia.io/learn/ai-applications/marketing

How COVID-19 has pushed companies over the technology tipping point - www.mckinsey.com

1.Arni P, Laddha S. Adoption of digital marketing in the health industry. SIES J Manage. (2017) 13:3–10.27239871

7.Savitri C, Hurriyati R, Wibowo L, Hendrayati H. The role of social media marketing and brand image on smartphone purchase intention. Int J Data Network Sci. (2022) 6:185–92.

AI in Marketing and communication survey,June 2023,The Conference Board

Q. André, Z. Carmon, K. Wertenbroch, A. Crum, D. Frank, W. Goldstein, J. Huber, L. van Boven, B. Weber, H. Yang, Consumer choice and autonomy in the age of artificial intelligence and big data, Customer Needs and Solutions 5 (1–2) (2018) 28–37.

Van Loo, Rory (July 1, 2018). "Technology Regulation by Default: Platforms, Privacy, and the CFPB". Georgetown Law Technology Review. 2 (2): 531–532, 537.

Cormen, Thomas H.; Leiserson, Charles E.; Rivest, Ronald L.; Stein, Clifford (2009). Introduction to Algorithms (3rd ed.). Cambridge, Mass.: MIT Press. p. 5. ISBN 978-0-262-03384-8.

Carol Fitz-Gibbon (1990), "Performance indicators", BERA Dialogues (2), ISBN 978-1-85359-092-4

Downloads

Published

2024-12-23

How to Cite

[1]
Mr. Vijay Arpudaraj Antonyraj, “Leveraging Artificial Intelligence for Enhanced Digital Marketing: Strategies, Applications, and Future Directions”, IEJRD - International Multidisciplinary Journal, vol. 9, no. 2, p. 7, Dec. 2024.