TY - GEN
T1 - Data analytics and artificial intelligence in e-Marketing: techniques, best practices and trends
AU - Carracedo, Patricia
AU - Juan Angel A., null
AU - Marmol, M.
AU - Ward, A.
AU - Lopez-Lopez, D.
N1 - Publisher Copyright:
© 2023 Inderscience Enterprises Ltd.
PY - 2023/8/24
Y1 - 2023/8/24
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - data analytics
KW - e-marketing
KW - machine learning
UR - http://www.scopus.com/inward/record.url?scp=85169931722&partnerID=8YFLogxK
U2 - 10.1504/IJDATS.2023.133019
DO - 10.1504/IJDATS.2023.133019
M3 - Article
SN - 1755-8050
VL - 15
SP - 147
EP - 178
JO - International Journal of Data Analysis Techniques and Strategies
JF - International Journal of Data Analysis Techniques and Strategies
ER -