Abstract: A system is provided for cross-platform proposal creation, optimization, and deal management. The system generates a proposal plan corresponding to a distribution of target audience across a set of delivery platforms based on an adjustment of a request parameter associated with a request. The proposal plan is executed for a first time period in a flight on a first delivery platform from the set of delivery platforms based on a plurality of client-defined requirements corresponding to the request. The proposal plan is optimized for a second time period in the flight by an in-flight re-distribution of the target audience across the set of delivery platforms. Execution of the optimized proposal plan is controlled for the second time period in the flight on the first delivery platform.

Abstract: A system determines a constraint associated with a pending deal for an advertiser based on target cost per thousand (CPM) reduction goal, demographics CPM cap, or established parameter. Rates are generated for each selling title for a week for a duration and a network of the pending deal. In certain time period for first channel of first network, buckets are determined based on sum of program attributes and time attributes for each second channel and weighing factor. Target audience rating estimates are acquired based on a predictive model, the buckets, the target CPM reduction goal, and the demographics CPM cap for plurality of networks. First proposal information is generated based on first distribution information of an audience spot and modified target CPM of a proposal associated with the pending deal based on target audience rating estimates. Audience spot is scheduled across the network for a selling title and week combination.

Abstract: An audience proposal creator determines a target cost per thousand (CPM) baseline and a demographics CPM baseline for a deal offering audience spots, determines deal constraints based on a target CPM reduction goal, a demographics CPM cap, and the established parameters, and generates rates by selling title for each selling title-weeks for a duration of pending deal, and for each network of a plurality of networks based on the constraints. Target and demo audience rating estimates are acquired based on the target and demo applicable to the advertiser for the plurality of networks, and a distribution of the audience spots generated across the plurality of selling title-weeks, and networks based on the target audience rating estimates, a budget for the pending deal, the generated rates, and available inventory per selling title-weeks, and a proposal generated based on the distribution. An audience processor schedules audience spots across one or more networks for selling title-weeks based on the distribution.

Abstract: A cross-platform management system that handles cross-platform management of client requirements receives a request corresponding to a plurality of client-defined requirements to be achieved in a flight. The request for the plurality of client-defined requirements is associated with request parameters. The system generates a proposal plan corresponding to the received request based on adjustment of the one or more request parameters. The proposal plan corresponds to a distribution of target audience across a set of delivery platforms. The system executes the generated proposal plan for a first time period in the flight on one or more delivery platforms. The system re-optimizes the generated proposal plan and controls execution of the generated proposal plan for a second time period in the flight by an in-flight re-distribution of the target audience across one or more delivery platforms of the set of delivery platforms.

Abstract: A system is provided that determines reserve inventory units required for each promotional campaign. Based on one of input parameters to meet defined parameters for defined amount of inventory units for one or more specified durations until end of a specified upcoming time-frame, inventory units are allocated from defined amount of inventory units among each inventory utilization type. Incremental value of revenue from each inventory utilization type is optimized and ratings for previously allocated inventory units assigned to a promotion inventory utilization type is increased. Previously allocated inventory units are periodically adjusted and re-distributed among each inventory utilization type based on difference in demand value of an estimated inventory units forecasted for upcoming specified duration and actual value of the inventory units for current duration. Based on remaining inventory units and each inventory utilization type, schedule of a channel is communicated to a user device, via a network.

Abstract: A media management system that handles a plurality of agreement information and a plurality of promotional campaigns for a specified upcoming time-frame, receives input parameters for each of the plurality of agreement information that corresponds to an upfront inventory utilization type and commercial operator break (COB) inventory utilization type of a plurality of inventory utilization types. Reserve inventory units for each of the plurality of promotional campaigns are determined based on historical data of an amount of inventory units utilized previously under the promotion inventory utilization type for the specified upcoming time-frame. An initial allocation of inventory units for the promotion inventory utilization type is done based on the determined reserve inventory units. Inventory units from a defined amount of inventory units are dynamically allocated among each inventory utilization types of the plurality of inventory utilization types.

Abstract: A media management system that handles a plurality of agreement information and a plurality of promotional campaigns for a specified upcoming time-frame, receives input parameters for each of the plurality of agreement information that corresponds to an upfront inventory utilization type and commercial operator break (COB) inventory utilization type of a plurality of inventory utilization types. Reserve inventory units for each of the plurality of promotional campaigns are determined based on historical data of an amount of inventory units utilized previously under the promotion inventory utilization type for the specified upcoming time-frame. An initial allocation of inventory units for the promotion inventory utilization type is done based on the determined reserve inventory units. Inventory units from a defined amount of inventory units are dynamically allocated among each inventory utilization types of the plurality of inventory utilization types.

Abstract: A media management system that handles a plurality of agreement information and a plurality of promotional campaigns for a specified upcoming time-frame, receives input parameters for each of the plurality of agreement information that corresponds to an upfront inventory utilization type and commercial operator break (COB) inventory utilization type of a plurality of inventory utilization types. Reserve inventory units for each of the plurality of promotional campaigns are determined based on historical data of an amount of inventory units utilized previously under the promotion inventory utilization type for the specified upcoming time-frame. An initial allocation of inventory units for the promotion inventory utilization type is done based on the determined reserve inventory units. Inventory units from a defined amount of inventory units are dynamically allocated among each inventory utilization types of the plurality of inventory utilization types.

Abstract: A television advertising management system that handles a plurality of deals for a plurality of advertiser, determines which of the plurality of deals have a guaranteed audience, and are under delivering, generates a plurality of scenarios that includes a plurality of parameters corresponding to the plurality of deals, searches for a deal that meet a certain criteria based on an index of the one deal that is below a threshold value, partitions a liability inventory reserve into individual deal reserves with a corresponding reserve under delivery units based on the searched one deal and the optimal allocation solution of the reserve under delivery units across the plurality of deals, creates under delivery deal reserves based on the optimal allocation solution and generates a plurality of under delivery orders based on the created under delivery reserves.

Abstract: A television advertising management system that handles a plurality of deals for a plurality of advertiser, determines which of the plurality of deals have a guaranteed audience, and are under delivering, and allocates reserve under delivery units to each of the plurality of deals that are under delivering to bring each of the plurality of deals that are under delivering to corresponding attainable lower targets while honoring corresponding deal constraints. An under delivery value is maximized such that the attainable lower targets are met, while honoring corresponding deal constraints to provide an allocation solution, and a total penalty from deviations from selling title mix distributions, and weekly distributions is minimized for each of the plurality of deals that are under delivering subject to an additional lower bound on the under delivery value.

Abstract: A television advertising management system that handles a plurality of deals for a plurality of advertiser, determines which of the plurality of deals have a guaranteed audience, and are under delivering, and allocates reserve under delivery units to each of the plurality of deals that are under delivering to bring each of the plurality of deals that are under delivering to corresponding attainable lower targets while honoring corresponding deal constraints. An under delivery value is maximized such that the attainable lower targets are met, while honoring corresponding deal constraints to provide an allocation solution, and a total penalty from deviations from selling title mix distributions, and weekly distributions is minimized for each of the plurality of deals that are under delivering subject to an additional lower bound on the under delivery value.

Abstract: A media management system that handles a plurality of deals for a plurality of advertisers and a plurality of promotional campaigns, receives input and/or parameters for each of the plurality of deals that corresponds to an upfront inventory utilization type and commercial operator break (COB) inventory utilization type, of a plurality of inventory utilization types. Reserve inventory units for each of the plurality of promotional campaigns that corresponds to a promotion inventory utilization type of the plurality of inventory utilization types, are determined for a specified upcoming time-frame. Inventory units from a defined amount of inventory units are dynamically allocated among each inventory utilization types of the plurality of inventory utilization types to meet a plurality of defined parameters for the defined amount of inventory units for one or more specified durations until end of the specified upcoming time-frame.

Abstract: An audience proposal creator determines a target cost per thousand (CPM) baseline and a demographics CPM baseline for a deal offering audience spots, determines deal constraints based on a target CPM reduction goal, a demographics CPM cap, and the established parameters, and generates rates by selling title for each selling title-weeks for a duration of pending deal, and for each network of a plurality of networks based on the constraints. Target and demo audience rating estimates are acquired based on the target and demo applicable to the advertiser for the plurality of networks, and a distribution of the audience spots generated across the plurality of selling title-weeks, and networks based on the target audience rating estimates, a budget for the pending deal, the generated rates, and available inventory per selling title-weeks, and a proposal generated based on the distribution. An audience processor schedules audience spots across one or more networks for selling title-weeks based on the distribution.

Abstract: A cross-platform management system that handles cross-platform management of client requirements receives a request corresponding to a plurality of client-defined requirements to be achieved in a flight. The request for the plurality of client-defined requirements is associated with request parameters. The system generates a proposal plan corresponding to the received request based on adjustment of the one or more request parameters. The proposal plan corresponds to a distribution of target audience across a set of delivery platforms. The system executes the generated proposal plan for a first time period in the flight on one or more delivery platforms. The system re-optimizes the generated proposal plan and controls execution of the generated proposal plan for a second time period in the flight by an in-flight re-distribution of the target audience across one or more delivery platforms of the set of delivery platforms.

Abstract: An audience proposal creator determines a target cost per thousand (CPM) baseline and a demographics CPM baseline for a deal offering audience spots, determines deal constraints based on a target CPM reduction goal, a demographics CPM cap, and the established parameters, and generates rates by selling title for each selling title-weeks for a duration of pending deal, and for each network of a plurality of networks based on the constraints. Target and demo audience rating estimates are acquired based on the target and demo applicable to the advertiser for the plurality of networks, and a distribution of the audience spots generated across the plurality of selling title-weeks, and networks based on the target audience rating estimates, a budget for the pending deal, the generated rates, and available inventory per selling title-weeks, and a proposal generated based on the distribution. An audience processor schedules audience spots across one or more networks for selling title-weeks based on the distribution.

Abstract: An advertisement management system receives a commercial break schedule generated from a completed assignment of one or more spots, which correspond to deals including advertiser orders to place the one or more spots into one or more commercial breaks in the commercial break schedule based on constraints and placement requirements. The system determines which of one or more orders in one or more deals are targeting orders, and determine a baseline target delivery for the targeting orders based on expected viewership associated with the targeting orders. The system places a portion of the one or more spots for the targeting orders based on a lift goal over the baseline target delivery, determines a liability per pending spot for spots determined to be candidates for advertisement scheduling and reshuffles placement of a remaining portion of the one or more spots based on the liability per pending spot for the candidates.

Abstract: An advertisement management system receives a commercial break schedule generated from a completed assignment of one or more spots, which correspond to deals including advertiser orders to place the one or more spots into one or more commercial breaks in the commercial break schedule based on constraints and placement requirements. The system determines which of one or more orders in one or more deals are targeting orders, and determine a baseline target delivery for the targeting orders based on expected viewership associated with the targeting orders. The system places a portion of the one or more spots for the targeting orders based on a lift goal over the baseline target delivery, determines a liability per pending spot for spots determined to be candidates for advertisement scheduling and reshuffles placement of a remaining portion of the one or more spots based on the liability per pending spot for the candidates.

Abstract: A cross-platform management system that handles cross-platform management of client requirements receives a request corresponding to a plurality of client-defined requirements to be achieved in a flight. The request for the plurality of client-defined requirements is associated with one or more request parameters. The system generates a proposal plan corresponding to the received request based on adjustment of the one or more request parameters. The proposal plan corresponds to at least a distribution of target audience across a set of delivery platforms. The system executes the generated proposal plan for a first time period in the flight on one or more delivery platforms. The system re-optimizes the generated proposal plan and controls execution of the generated proposal plan for a second time period in the flight by an in-flight re-distribution of the target audience across one or more delivery platforms of the set of delivery platforms.

Abstract: An advertisement scheduler receives a commercial break schedule generated from a completed assignment of one or more spots that correspond to the deals comprising advertiser's orders to place the spots into one or more commercial breaks in the commercial break schedule based on constraints and placement requirements. The advertisement scheduler may determine representative liability per pending spot for the deals and reshuffle the placement of the spots based on the representative liability of the deals in order to minimize liability associated with the deals. The advertisement scheduler may reshuffle the placement of the spots for maximum delivery of candidate deals, where the reshuffle is based on a forecast of expected viewership associated with the deals, and a pacing computation of cumulative demographics guaranteed at a particular point in time, modify the forecast based on weighting factor, and generate a finalized commercial break schedule based on the reshuffling.

Abstract: An advertisement scheduler receives a commercial break schedule generated from a completed assignment of one or more spots that correspond to the deals comprising advertiser's orders to place the spots into one or more commercial breaks in the commercial break schedule based on constraints and placement requirements. The advertisement scheduler may determine representative liability per pending spot for the deals and reshuffle the placement of the spots based on the representative liability of the deals in order to minimize liability associated with the deals. The advertisement scheduler may reshuffle the placement of the spots for maximum delivery of candidate deals, where the reshuffle is based on a forecast of expected viewership associated with the deals, and a pacing computation of cumulative demographics guaranteed at a particular point in time, modify the forecast based on weighting factor, and generate a finalized commercial break schedule based on the reshuffling.