Given the changes in customer behaviour resulting from information and communication (ICT), it is appropriate to seek a deeper and broader understanding of the characteristics of company messages, its links to consumer engagement behaviour on social media (SM), and business performance. In addition, optimizing SM for effective corporate campaigns is an integral part of a company’s daily routine. Despite the fact, that companies collect various data on customer behaviour on SM, traditional analytical methods do not allow for complex processing and forecasting of customer behaviour and improvement of company’s performance (e.g. sales). This can be achieved through Artificial Intelligence (AI) solutions that enable companies to manage the effectiveness of SM campaign results, which can ensure their competitiveness in the marketplace. Therefore, these studies are characterized by interdisciplinary access based on marketing and information technology theories. The aim of this project is to create a machine learning model for predictive solutions of optimization of a company’s SM campaigns.
KTU Science and Innovation Fund
Period of project implementation: 2020-04-14 - 2020-12-31