Online Advertising Revenue

Online advertising revenue optimization is a crucial area of research focusing on maximizing advertiser return on investment (ROI) and publisher revenue. Current research emphasizes improved forecasting models, leveraging techniques like deep learning (including Temporal Fusion Transformers) and time-series analysis to predict cost-per-click (CPC) and overall revenue, often incorporating competitor data and contextual factors such as website traffic patterns and ad copy effectiveness. These advancements aim to enhance bidding strategies, improve ad targeting, and ultimately lead to more efficient allocation of advertising budgets, benefiting both advertisers and publishers.