Abstract: Computer implemented methods and systems select television inventory units for a television advertising campaign. The method includes: (a) receiving information identifying (i) a target television audience, (ii) a plurality of television inventory units and a given price for each television inventory unit, and (iii) a budget for the television advertising campaign; (b) determining the probability of the target television audience viewing each of the plurality of television inventory units based on historical television viewing data; (c) for feasible combinations of television inventory units meeting the budget for the television advertising campaign, determining an expected target television audience reach based on the probabilities determined in step (b); and (d) selecting the feasible combination of television inventory units providing the greatest television audience reach for the television advertising campaign. The methods and systems can also be used for other media advertising campaigns including, e.g.

Abstract: Computer implemented methods and systems select television inventory units for a television advertising campaign. The method includes: (a) receiving information identifying (i) a target television audience, (ii) a plurality of television inventory units and a given price for each television inventory unit, and (iii) a budget for the television advertising campaign; (b) determining the probability of the target television audience viewing each of the plurality of television inventory units based on historical television viewing data; (c) for feasible combinations of television inventory units meeting the budget for the television advertising campaign, determining an expected target television audience reach based on the probabilities determined in step (b); and (d) selecting the feasible combination of television inventory units providing the greatest television audience reach for the television advertising campaign. The methods and systems can also be used for other media advertising campaigns including, e.g.

Abstract: Future media viewership is forecast based on time ordered analysis of historical viewership information from an individual or combination of a plurality of data sets. Forecast models having coefficients derived from comparisons of time series representations of data sets across a plurality of time periods and data sources join together disparate data sets. Individual data sets from disparate data sources may be compared to identify possible untrustworthy data or data that requires further investigation. Organizing viewership information in a time series allows for imputing missing data in a respective data set.

Abstract: Future media viewership is forecast based on time ordered analysis of historical viewership information from an individual or combination of a plurality of data sets. Forecast models having coefficients derived from comparisons of time series representations of data sets across a plurality of time periods and data sources join together disparate data sets. Individual data sets from disparate data sources may be compared to identify possible untrustworthy data or data that requires further investigation. Organizing viewership information in a time series allows for imputing missing data in a respective data set.

Abstract: A computer implemented method and apparatus for determining an optimal time and channel for delivery of television advertising content based on viewer profile information collects viewer profile information for a viewer and stores it in a computer memory. Definitions of modal segments of viewers in terms of one or more viewer profile information thresholds are also stored and the viewer is assigned to one or more modal segments based on a comparison of the viewer profile information thresholds with the collected viewer profile information. The optimal time and channel for delivery of television advertising content is determined based on the viewer's assignment to the modal segments, the collected viewer profile information, and promoted program information; and the determined optimal time and channel for delivery of the television advertising content is provided for display.

Abstract: A computer implemented method and apparatus for determining an optimal time and channel for delivery of television advertising content based on viewer profile information is disclosed. The method and apparatus provide for collecting viewer profile information for a viewer and storing it in a computer memory. Segments of viewers may be defined by viewer profile information thresholds in the computer memory. Viewers may be assigned to an audience segment based on a comparison of the viewer profile information thresholds with the collected viewer profile information. Information describing programs to be promoted, spots in which promotions for such programs may air, and geographic data also may be collected and stored. The computer may determine an optimal time and channel for delivery of the television advertising content to a selected audience segment based on the program to be promoted information, spot information and geographic data.