A4 Media & Data Solutions, LLC

Harris Corporation

Andrew Corporation

Csc Holdings, LLC

Trisha Schepers

Derek Mattsson

Reed Berrett

Chris Satovick

Stephen A Falk

A system and method provides for the use of a proprietary platform to predict impressions and to predict and design ad campaigns. Specifically, a proprietary programmatic advertisement platform correlates television programming asset sources with actual viewing behavior of broadcasts associated with the television programming assets and ad content associated with the ad campaign. The correlation produces a predicted performance value used to generate an ad campaign. For instance, the invention enables television programming asset sources and viewership information providers to communicate with the programmatic advertisement platform in a way that adds value to or otherwise facilitates the valuation of the television programming asset sources in context of the particular ad. Thus, the programmatic advertisement platform delivers improved performance and lower effective cost of television ad campaigns by using automation for simplification and advanced targeting algorithms to reach desired audiences more efficiently.

Programmatic advertising platform

The disclosed embodiments describe an automatic, adaptive system and method for efficiently and effectively scheduling advertising spots in commercial break locations across various networks, zones, channels, dates, times, and specific products, for example. The disclosed embodiments make use of fixed and relative factors, that may be user-defined, which assign a 'cost' to one or more particular breaks which thereby allow for quick and accurate scheduling of spots. The 'costs' may represent a value, or desirability, of a break for the advertiser and may be a function of both the fixed and relative factors. The fixed and relative factors may be configurable and may change for different advertising clients, different contract lines, different networks, different spot placement, etc. The placement of spots may be accomplished through the use of an ordered list which may be generated based on a number of inputs that may be user-selected. A non-limiting example of user inputs may include: spot length, spot cost, contract line priority, beginning date/time of contract line, ending date/time of contract line, a predefined value index for the client, and contract line number, among others.

System and method for an adaptive scheduling system architecture

Growing community of inventors

Byron Center, MI, United States of America

Trisha Schepers