Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.