 Data analytics and artificial intelligence in e-marketing: techniques, best practices and trendsAndrew F. Ward, Mage Marmol, David Lopez-Lopez, Patricia Carracedo and Angel A. Juan International Journal of Data Analysis Techniques and Strategies, 2023, vol. 15, issue 3, 147-178 Abstract: More than ever, enterprises today can make use of data, forecasting models, and intelligent algorithms to optimise their marketing strategies and customise their campaigns to better fit the needs of each potential client. First, this paper reviews the existing literature regarding the use of data analytics methods and artificial intelligence algorithms in the e-marketing field. Then, the paper discusses how modern enterprises can benefit from these tools to efficiently deal with a myriad of marketing possibilities, including strategies they can use in order to fulfill their customers' needs or to generate new markets for their products and services. Several examples of real-life applications are analysed with the aim of illustrating the potential of these techniques. Finally, we use some statistical/machine learning techniques to perform a text mining analysis of a selected subset of scientific articles, which allows us to identify the main trends in the field. Keywords: e-marketing; data analytics; artificial intelligence; machine learning. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:injdan:v:15:y:2023:i:3:p:147-178 Access Statistics for this article More articles in International Journal of Data Analysis Techniques and Strategies from Inderscience Enterprises Ltd |
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