Abstract: Systems, methods, and articles for assigning content, such as advertisements, to similar content breaks, such as advertisement placement opportunities, across multiple content providers. The systems disclosed herein automatically identify similar advertisement placement opportunities, such as advertisement placement opportunities occurring at the same time, across a plurality of media content providers, and assign an indicated advertisement spot to as many of the identified advertisement placement opportunities as possible. This is achieved by re-assigning advertisement spots which are already assigned to a slot in one of the advertisement placement opportunities to another slot in order to allow the indicated advertisement spot to be assigned to the slot.

Abstract: Systems, methods, and articles for assigning content, such as advertisements, to similar content breaks, such as advertisement placement opportunities, across multiple content providers. The systems disclosed herein automatically identify similar advertisement placement opportunities, such as advertisement placement opportunities occurring at the same time, across a plurality of media content providers, and assign an indicated advertisement spot to as many of the identified advertisement placement opportunities as possible. This is achieved by re-assigning advertisement spots which are already assigned to a slot in one of the advertisement placement opportunities to another slot in order to allow the indicated advertisement spot to be assigned to the slot.

Abstract: Systems, methods, and articles for optimizing the placement of content, such as advertisements, within content breaks. The systems disclosed herein automatically identify the optimal allocation of content within breaks included in advertisement placement opportunities. This is achieved by scoring placed advertisements and determining whether a prospective advertisement can be placed within a break. The system may score the placed advertisements based on rules provided by a media content provider and multiple buyers.

Abstract: Systems, methods and articles for optimizing the clearance of content, such as advertisements. The systems disclosed herein provide a greater chance that offers to buy advertisement placement opportunities from media providers are accepted by the media providers. This is achieved by matching advertisements to advertisement placement opportunities which match buyer goals and provider goals, and by using historical data related to advertisements that the seller has cleared. The system may optimize clearance for multiple buyers which are competing for the same advertisement placement opportunities at the same time.

Abstract: Systems and methods for providing targeted content in streaming content online that takes into account content, including advertising content, delivered in a corresponding linear broadcast over a defined period of time (e.g., one day, one week). A broadcast content management system is provided that generates a multicast log that corresponds to a broadcast log, and sends the multicast log to a streaming content management system. The streaming content management system utilizes information in the multicast log to select advertisement content to be served to media player systems (e.g., video players).

Abstract: Systems, methods and articles for providing optimized scheduling of a log of spots to be delivered to consumers. The optimized scheduling allows content providers to autonomously satisfy contracts and increase revenue. An audience delivery optimizer system receives an initial log, generates an optimized log, and returns the optimized log so that content can be delivered to consumers according to the optimized log. The audience delivery optimizer system may use historical ratings data and may implement an algorithm to accurately project future delivery. The audience delivery optimizer system may evaluate and optimize a log that spans a particular period of time, such as a day, a week, a month, etc. The audience delivery optimizer system may evaluate over-performing contracts and under-performing contracts and may then optimize the placement of spots based on such evaluations. The audience delivery optimizer system may track liability or other metrics over determined periods (e.g., quarterly).

Abstract: Systems, methods and articles for automating and optimizing the buying and selling of content, such as advertising inventory units. The systems disclosed herein provide an automated double-blind auction-based marketplace that provides price protection for buyers, provides advanced insight to buyers regarding future campaign performance, and creates balanced sell side competition. This is achieved by an automated auction engine that, among other things, automatically determines the winning buyers and sellers and automatically determines the prices that winning buyers will pay. The system may automatically generate orders from the winning bids, and the orders may be sent to a traffic system for publishing.

Abstract: Systems, methods and articles for providing optimized scheduling of a log of spots to be delivered to consumers. The optimized scheduling allows content providers to autonomously satisfy contracts and increase revenue. An audience delivery optimizer system receives an initial log, generates an optimized log, and returns the optimized log so that content can be delivered to consumers according to the optimized log. The audience delivery optimizer system may use historical ratings data and may implement an algorithm to accurately project future delivery. The audience delivery optimizer system may evaluate and optimize a log that spans a particular period of time, such as a day, a week, a month, etc. The audience delivery optimizer system may evaluate over-performing contracts and under-performing contracts and may then optimize the placement of spots based on such evaluations. The audience delivery optimizer system may track liability or other metrics over determined periods (e.g., quarterly).