Abstract: Systems and methods presented herein provide for distributing asset opportunities across COD providers. One system includes an asset load manager (ALM) that receives information from the COD providers about asset opportunities for COD content of the COD providers. The ALM selected asset opportunity and delivers it to a trading platform that offers the asset opportunity to the remaining COD providers. The ALM also receives, from the trading platform, sale information of the asset opportunity to another of the COD providers and information of an asset used to fill the asset opportunity. An asset opportunity information system (AOIS) interfaces with an asset decision system (ADS), to direct the ADS to configure asset rankings and removals according to rules of the second COD provider. The ADS directs an asset insertion into the COD content of the first COD provider based on the asset ranking.

Abstract: Systems and methods presented herein provide for distributing asset opportunities across COD providers. One system includes an asset load manager (ALM) that receives information from the COD providers about asset opportunities for COD content of the COD providers. The ALM selected asset opportunity and delivers it to a trading platform that offers the asset opportunity to the remaining COD providers. The ALM also receives, from the trading platform, sale information of the asset opportunity to another of the COD providers and information of an asset used to fill the asset opportunity. An asset opportunity information system (AOIS) interfaces with an asset decision system (ADS), to direct the ADS to configure asset rankings and removals according to rules of the second COD provider. The ADS directs an asset insertion into the COD content of the first COD provider based on the asset ranking.

Abstract: Systems and methods presented herein provide for asset recommendations based on asset effectiveness determinations. In one embodiment, an asset recommendation system operable to recommend insertion of assets into Video On Demand (VOD) content being selected by users through Customer Premises Equipment (CPEs). The system includes a recommendation engine communicatively coupled to an asset effectiveness evaluation module and to an asset decision system, wherein the recommendation engine is operable to accumulate demographic information associated with the determined effectiveness of the assets, to generate an anonymous user profile based on the accumulated demographic information and the associated effectiveness of the assets, and to recommend assets for insertion to the asset decision system based on the anonymous user profile.