Advertising Science

We combine our immense trove of data with tools from large-scale machine learning, statistical modeling, feedback control, and more to develop the high-performing and robust algorithms that drive impression allocation and ad serving. including machine learning, statistics, operations research, economics, mathematics, control theory, etc. Some representative areas of work are: click and conversion prediction, viewability and video completion prediction, incremental reach optimization, campaign budget spend pacing, bidding strategies, supply path optimization, app marketing optimization, and optimization and performance measurement on internet traffic with privacy-driven restricted user traceability.