The possibilities of using artificial intelligence in advertising: theory and practice

Purpose: The overall aim of the presented paper was to identify the main areas of application of artificial intelligence in advertising activities. Design/methodology/approach: In order to realise the objectives of this paper, it was decided to use two research methods: bibliometric analysis and a multiple case study. First, a quantitative analysis of the resources of the Scopus and Web of Science databases was carried out, which was used to isolate the main research areas concerning the application of artificial intelligence in advertising. Next, examples of advertisements from the business world that use artificial intelligence were searched for and assigned to each research area. In the final phase, the case studies were related to the results of a qualitative analysis of the literature exported during bibliometric research. Findings: With capabilities such as analysing, automating, creating and optimising, AI systems can have a variety of applications in advertising. In particular, they are used to monitor trends, targeting, behavioural prediction, personalisation, creation, audience interaction and engagement. Research limitations/implications: The article contains a preliminary study. In the future it is planned to conduct additional quantitative and qualitative research. Practical implications: The conclusions of the study can serve to better understand the relevance of artificial intelligence for the advertising industry and the practical possibilities of its use. The results of the study can be used both in market practice and as inspiration for further research in this area. Originality/value: The article demonstrates the specificity of artificial intelligence in relation to promotion. The research uses examples from business practice.