Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for frequency optimization of advertisement streams. The methods and systems described in this specification may enable determination of an optimal presentation frequency of an ad stream, or a number of times the ad stream is to be broadcast and/or rebroadcast, prior to the audience becoming interested in the ad, or acting on the ad to generate a conversion event.

Abstract: External-signal influence on content item performance is determined. Content item performance data is received that reflects historic performance of a content item for multiple presentations of the content item. Signal data is received that corresponds to at least one signal that is temporally correlated with the content item performance data and that is external to each user, publisher and content provider involved in any of the presentations. Using the content item performance data and the signal data, an influence value for the signal with regard to the content item is determined. A content item prediction model is modified based on the influence value.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for frequency optimization of advertisement streams. The methods and systems described in this specification may enable determination of an optimal presentation frequency of an ad stream, or a number of times the ad stream is to be broadcast and/or rebroadcast, prior to the audience becoming interested in the ad, or acting on the ad to generate a conversion event.

Abstract: A computer-implemented method including receiving advertising campaign characteristics with a minimum frequency target for an advertising campaign; selecting, based on the received advertising campaign characteristics, a station having one or more advertising spots available; determining, based on the one or more advertising spots, whether the minimum frequency target is attainable for the selected station; and making an offer to the selected station, in response to the determination, to obtain advertising for the advertising campaign.

Abstract: Among other things, methods, computer program products, and systems can be used to modify a previously booked broadcast media ad campaign. For example, an previously booked broadcast media ad campaign can be modified by selecting one or more parameters from among multiple parameters associated with the previously booked broadcast media ad campaign. The selected one or more parameters are modified, and the modified one or more parameters are applied to the previously booked broadcast media ad campaign while the previously booked broadcast media ad campaign is still running.

Abstract: Among other things, a computer-implemented method for customizing the distribution of advertising impressions includes generating a target number of advertising impressions for one or more advertising categories based, at least in part, on a non-uniform percentage distribution of advertising impressions for an advertising campaign, the percentage distribution corresponding to the one or more advertising categories. A determination is made on whether enough advertising inventory is available to fulfill the target number of advertising impressions. When a shortage of available inventory is detected in the one or more advertising categories, an actual number of advertising impressions for the one or more advertising categories is generated.

Abstract: Various aspects can be implemented for automated booking of advertising campaigns based on reach and frequency goals In general, one aspect can be a method that includes receiving campaign criteria including target reach and frequency for an advertising campaign. The method also includes allocating advertising spots based on the campaign criteria, and generating projected campaign reach and frequency based, at least in part, on the allocated advertising spots. The method further includes determining whether projected campaign reach and frequency sufficiently match target reach and frequency, and dynamically adjusting the allocation of advertising spots when the projected campaign reach and frequency do not sufficiently match the target reach and frequency. Other implementations of this aspect include corresponding systems, apparatus, and computer program products.