EVALUATING THE ROLE OF AI IN VISUAL MARKETING MANAGEMENT

Abstract

The design practices on which the visual marketing management is founded have evolved into the data-driven and analytics-based systems of decisions. The following paper is an evaluation of the way AI will be used to radically transform the management of visual marketing by automated analysis, creating, optimization and controlling of visual content in online platforms. The research is premised on the visual communication and computational intelligence theory, and the authors present how computer vision, deep learning, and generative AI models can assist visual marketing to generate and implement strategic designs more effectively. It implies a fully experimental design that involves enormous image and video files created as a result of branding and advertising campaigns and social media promotion. It is measured in multi-level measures which include visual effectiveness, brand consistency, audience engagement and ROI. Empirical results of the research demonstrates that AI based visual marketing systems are much more useful in increasing relevance of content, emotion and cross platform compatibility of brands compared with manual systems or rule based systems. The outcomes also indicate measurable increase in efficacy of the campaigns, quicker design procedures, and better consistency of the enforcement of the brand identity.