Causal Machine Learning For Creative Insights

This article discusses a framework for using machine learning and computer vision to identify the components that contribute to the success of promotional artwork on Netflix. By analyzing these components, the creative team can gain data-driven insights to improve their selection of artwork for each title. The challenge lies in designing experiments that are scalable and representative of all genres and factors that contribute to an artwork’s success.