Two-stage framework for digital content optimization and scheduling

Abstract

Rapid changes in technology and consumer preferences continue to change the way things are done. As a result, all communication flows should include strategies to adapt to the way things are done in a digital environment. There is a lot of data in the digital space that describes the behavior of people in the market and influences the best strategies to follow for success. Current research determines how linear programming can be applied for solving problems in digital marketing to find optimal solutions for the best marketing results. Platforms like Facebook, Instagram, LinkedIn and TikTok significantly shape the way people relate to the content created by the marketing team. By analyzing some of the trends established by using such platforms, it is possible to arrive at a more effective content planning that is in line with the market trend. Our research highlights the importance of customized content and optimal placement in maximizing marketing effectiveness in the digital domain.