Promotional Coverage-Based Modeling for YouTube Videos Incorporating Broadcasting Mechanism and Optimal Model Selection

The primary objective of this study is to analyze the impact of promotional broadcasting campaigns on the view-count of YouTube videos, which is a crucial factor for revenue generation among YouTubers. To achieve this objective, various mathematical models are proposed and rigorously tested to understand the effects of these promotional strategies on video view-counts. Additionally, Distance-Based Analysis (DBA) is employed to rank the effectiveness of the proposed models. This dual approach ensures a robust assessment of how different broadcasting strategies influence view-counts. The analysis reveals that different broadcasting strategies yield varying levels of effectiveness, with some approaches leading to a more substantial increase in view-count than others. This study addresses a gap in the existing literature by focusing specifically on the broadcasting phenomenon, which has been scarcely explored. The findings provide valuable insights for content creators and marketers, with Model IV outperforming others across several datasets, demonstrating its robustness in capturing promotional impact.