Abstract: Apparatus and methods for generating secondary content scheduling and product offerings for users of a managed content distribution network, such as a cable, satellite, of HFCu network. In one embodiment, the secondary content comprises advertising content to be distributed across a plurality of content networks carried by the managed content distribution network. A plurality of computerized models (including various simulations) are generated based on various data sources, including historical tuning event data for the managed network's subscribers), and subsequently implemented to structure advertising schedules or campaigns (“bundles”) for each customer in a substantially automated fashion, and that will achieve the desired level of performance specified by the customer, consistent with their budget.

Abstract: Apparatus and methods for generating secondary content scheduling and product offerings for users of a managed content distribution network, such as a cable, satellite, of HFCu network. In one embodiment, the secondary content comprises advertising content to be distributed across a plurality of content networks carried by the managed content distribution network. A plurality of computerized models (including various simulations) are generated based on various data sources, including historical tuning event data for the managed network's subscribers), and subsequently implemented to structure advertising schedules or campaigns (“bundles”) for each customer in a substantially automated fashion, and that will achieve the desired level of performance specified by the customer, consistent with their budget.

Abstract: Apparatus and methods for generating secondary content scheduling and product offerings for users of a managed content distribution network, such as a cable, satellite, of HFCu network. In one embodiment, the secondary content comprises advertising content to be distributed across a plurality of content networks carried by the managed content distribution network. A plurality of computerized models (including various simulations) are generated based on various data sources, including historical tuning event data for the managed network's subscribers), and subsequently implemented to structure advertising schedules or campaigns (“bundles”) for each customer in a substantially automated fashion, and that will achieve the desired level of performance specified by the customer, consistent with their budget.