Abstract: In some examples, a computer-implemented method of managing an advertising exchange is provided. The method uses email data and provides an interactive user interface for controlling management of data in an email channel. One or more inputs of online audience data is received. The online audience data includes email channel inventory from multiple publishers, Offline audience data including offline shopping behavior is sourced from at least one or more offline source. The online audience data and the offline audience data is included in a unified customer database, and the interactive user interface includes interface elements selectable to present online and offline audience data sourced from the unified customer database.

Abstract: In some examples, a computer-implemented method of managing an advertising exchange is provided. The method uses email data and provides an interactive user interface for controlling management of data in an email channel. One or more inputs of online audience data is received. The online audience data includes email channel inventory from multiple publishers, Offline audience data including offline shopping behavior is sourced from at least one or more offline source. The online audience data and the offline audience data is included in a unified customer database, and the interactive user interface includes interface elements selectable to present online and offline audience data sourced from the unified customer database.

Abstract: Systems and methods for predictive modeling of attribution are described. Systems and methods may include receiving one or more inputs; processing the one or more inputs using a general linear model; and providing predicted online and offline campaign impact.

Abstract: In some examples, a computer-implemented method of managing an advertising exchange is provided. The method uses email data and provides an interactive user interface for controlling management of data in an email channel. One or more inputs of online audience data is received. The online audience data includes email channel inventory from multiple publishers. Offline audience data including offline shopping behavior is sourced from at least one or more offline source. The online audience data and the offline audience data is included in a unified customer database, and the interactive user interface includes interface elements selectable to present online and offline audience data sourced from the unified customer database.

Abstract: Systems and methods for management of an advertising exchange using email data are described. Systems and methods may include receiving one or more inputs of audience data from one or more publishers; transforming the one or more inputs into information in a unified customer database; receiving a query from a front end query tool; accessing information in the unified customer database responsive to the query; and providing the responsive information to the front end query tool.

Abstract: Methods, systems, and media for management of an advertising exchange using email data are disclosed. In one example, a method of managing an advertising exchange using email data comprises receiving one or more inputs of audience data from one or more publishers, transforming the one or more inputs into information in a unified customer database, receiving a query from a front end query tool, accessing information in the unified customer database responsive to the query, and providing the responsive information to the front end query tool.

Abstract: Methods, systems, and media for predictive modeling of online and offline attribution are disclosed. In one example, a system for predictive modeling of online and offline attribution comprises one or more databases comprising one or more inputs and one or more processors for receiving the one or more inputs, processing the one or more inputs using a general linear model, and providing predicted online and offline campaign impact.

Abstract: Systems and methods for predictive modeling of attribution are described. Systems and methods may include receiving one or more inputs; processing the one or more inputs using a general linear model; and providing predicted online and offline campaign impact.

Abstract: Systems and methods for management of an advertising exchange using email data are described. Systems and methods may include receiving one or more inputs of audience data from one or more publishers; transforming the one or more inputs into information in a unified customer database; receiving a query from a front end query tool; accessing information in the unified customer database responsive to the query; and providing the responsive information to the front end query tool.