Abstract: A graphical user interface (GUI) includes a first display area that displays a template including entries corresponding to multiple media stations. Each entry is associated with a unique station identifier. The template also includes multiple attribute fields indicating including location attributes and station attributes associated with content broadcast by the media stations. The first display area accepts a user selection of one or more filter attributes, displays filtered media stations satisfying those attributes, accepts user input selecting a subset of the filtered media stations, and tags the subset of the filtered media stations. A second display area displays a map child window concurrently with the template being displayed in the first display area, and includes a geographic map having a plurality of markers showing physical locations of tagged media stations.

Abstract: A server device obtains sets of input data including input CUME values associated with radio stations from different ratings-data-vendor devices. The input CUME values from a first ratings-data-vendor device are associated with a first limited set of input dayparts, and the input CUME values from a second ratings-data-vendor device are associated with a second limited set of input dayparts. The server obtains a list of media stations and schedule information associated with the media stations, the scheduling information including arbitrary client-specified dayparts. The input CUME values are consolidated, and translated consolidated data is generated by translating the input CUME values for the individual radio stations from the first and second limited set of input dayparts to determine an output CUME value associated with the arbitrary client-specified dayparts different from the input dayparts.

Abstract: A radio station market analysis program extends Cume values for individual stations to multiple stations (for a particular geographic market, a particular demographic, and a particular daypart) according to the formula C=[1??i=1,n(1?Ci/P)]*P, where n is the number of media stations, P is the population, and Ci is each Cume value. Cume values may be provided for a limited set of input dayparts from Arbitron and Nielson, and are translated to an arbitrary daypart. The arbitrary daypart can represent a sum of component dayparts in a proposed advertising schedule. The reach of the proposed advertising schedule can be further computed based on a hyperbolic function of spot count.

Abstract: A computerized method and system for managing a media advertising proposal from inception to completion of an order with one or more media outlets are described. An embodiment of the method includes receiving a customer request for placement of advertising in one or more media outlets, creating a media advertising proposal, that includes schedule of advertising for the requested placement, based on user inputs into a media proposal tool, storing the media advertising proposal in a database connected to the media proposal tool, accessing one or more external applications to integrate information and data into the media advertising proposal, assigning a grade to the media advertising proposal, entering the media advertising proposal into a computerized workflow in the media proposal tool for review and approval, and if the media advertising proposal is approved, injecting the media advertising proposal as an order into a traffic and billing system.

Abstract: A radio station market analysis program extends Cume values for individual stations to multiple stations (for a particular geographic market, a particular demographic, and a particular daypart) according to the formula C=[1??i=1,n(1?(Ci/P))]*P, where n is the number of media stations, P is the population, and Ci is each Cume value. Cume values may be provided for a limited set of input dayparts from Arbitron and Nielson, and are translated to an arbitrary daypart. The arbitrary daypart can represent a sum of component dayparts in a proposed advertising schedule. The reach of the proposed advertising schedule can be further computed based on a hyperbolic function of spot count.

Abstract: A radio station market analysis program extends Cume values for individual stations to multiple stations (for a particular geographic market, a particular demographic, and a particular daypart) according to the formula C=[1??i=1,n(1?(Ci/P))]*P, where n is the number of media stations, P is the population, and Ci is each Cume value. Cume values may be provided for a limited set of input dayparts from Arbitron and Nielson, and are translated to an arbitrary daypart. The arbitrary daypart can represent a sum of component dayparts in a proposed advertising schedule. The reach of the proposed advertising schedule can be further computed based on a hyperbolic function of spot count.

Abstract: A radio station market analysis program displays a grid having radio station entries and associated attributes. A subset of the stations can be selected based on the attributes, and a map displays location markers corresponding to physical locations of stations in the subset. Attributes include multiple station ratings criteria such as Cume and AQHP. Entries may be sorted according to the attributes. A filter may be used to identify the subset based on a selected value for an attribute. Entries in the grid can be highlighted responsive to user selection of corresponding station location markers shown in the map. The user interface may further include a chart window which compares media stations according to a selected attribute, a trend window which shows attribute values for media stations over time, and a station information window for a selected media station.