The Impact of Predictive Analytics and AI on Digital Marketing Strategy and ROI

19Citations
Citations of this article
147Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The study explores the effects of artificial intelligence (AI) and predictive analytics on digital marketing strategy and return on investment (ROI). It reviews relevant literature on the use of AI and predictive analytics in digital marketing, focusing on email marketing, customization, social media marketing optimization, and consumer segmentation. The research methodology is described, including data collection and analysis procedures. The findings highlight the significant impact of predictive analytics and AI on digital marketing strategy and ROI, with businesses that effectively utilize these technologies reporting higher engagement, conversions, and revenue growth. The study acknowledges limitations and proposes future research directions of successful AI and predictive analytics integration in digital marketing campaigns. It concludes with recommendations for businesses to invest in predictive analytics and AI to remain competitive in the dynamic digital landscape.

Cite

CITATION STYLE

APA

Al Khaldy, M. A., Al-Obaydi, B. A. A., & al Shari, A. J. (2023). The Impact of Predictive Analytics and AI on Digital Marketing Strategy and ROI. In Studies in Big Data (Vol. 136, pp. 367–379). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-42455-7_31

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free