Abstract: In a video delivery context, collection and analysis of viewing data can provide insight into viewer interaction with video and the Internet. The viewing data can be transmitted in a controlled manner to a data repository. Disclosed herein are system, method, and computer program product embodiments for optimizing inventory based on predicted viewership. An example embodiment operates by evaluating past viewership data for a periodic event, determining a tendency of a market segment to view the periodic event, and predicting viewership for a future event based on the determined tendency.

Abstract: In a video delivery context, collection and analysis of viewing data can provide insight into viewer interaction with video and the Internet. The viewing data can be transmitted in a controlled manner to a data repository. The system can selectively target specific viewers/households to obtain viewing data, which can be combined with demographics, anonymized, and encrypted. Embodiments enable precision selection of media opportunities, by determining detailed characteristics associated with broadcasts including movement of audiences and specific viewer behavior, such as visits to websites on the Internet. The effective yield of broadcasts, including promotional spots and advertisements, can be determined and predicted based on concrete data at a level of detail down to individual viewers. Accordingly, embodiments enable improvement of the effectiveness and return on investment for programming, promotional spots, and advertisements.

Abstract: Embodiments utilize viewership data collected via a set top box (STB) at individual households (HHs) to enable a network operator to recommend ad spots to customers based on a percentage of HHs that are likely to view the ad spots (e.g., the % of HHs reached by the ad spots), and/or based on the average number of times (e.g., average frequency) that the reached HHs are likely to view the ad spot. Embodiments compile the available network/daypart ad spots per broadcast week, and determine a number of ad spots for each network/daypart that satisfy a reached threshold of HHs, and/or satisfies the minimum frequency threshold.

Abstract: In a video delivery context, collection and analysis of viewing data can provide insight into viewer interaction with video and the Internet. The viewing data can be transmitted in a controlled manner to a data repository. Disclosed herein are system, method, and computer program product embodiments for optimizing inventory based on predicted viewership. An example embodiment operates by evaluating past viewership data for a periodic event, determining a tendency of a market segment to view the periodic event, and predicting viewership for a future event based on the determined tendency.

Abstract: Embodiments utilize viewership data collected via a set top box (STB) at individual households (HHs) to enable a network operator to recommend ad spots to customers based on a percentage of HHs that are likely to view the ad spots (e.g., the % of HHs reached by the ad spots), and/or based on the average number of times (e.g., average frequency) that the reached HHs are likely to view the ad spot. Embodiments compile the available network/daypart ad spots per broadcast week, and determine a number of ad spots for each network/daypart that satisfy a reached threshold of HHs, and/or satisfies the minimum frequency threshold.

Abstract: In a video delivery context, collection and analysis of viewing data can provide insight into viewer interaction with video and the Internet. The viewing data can be transmitted in a controlled manner to a data repository. The system can selectively target specific viewers/households to obtain viewing data, which can be combined with demographics, anonymized, and encrypted. Embodiments enable precision selection of media opportunities, by determining detailed characteristics associated with broadcasts including movement of audiences and specific viewer behavior, such as visits to websites on the Internet. The effective yield of broadcasts, including promotional spots and advertisements, can be determined and predicted based on concrete data at a level of detail down to individual viewers. Accordingly, embodiments enable improvement of the effectiveness and return on investment for programming, promotional spots, and advertisements.

Abstract: In a video delivery context, collection and analysis of viewing data can provide insight into viewer interaction with video and the Internet. The viewing data can be transmitted in a controlled manner to a data repository. The system can selectively target specific viewers/households to obtain viewing data, which can be combined with demographics, anonymized, and encrypted. Embodiments enable precision selection of media opportunities, by determining detailed characteristics associated with broadcasts including movement of audiences and specific viewer behavior, such as visits to websites on the Internet. The effective yield of broadcasts, including promotional spots and advertisements, can be determined and predicted based on concrete data at a level of detail down to individual viewers. Accordingly, embodiments enable improvement of the effectiveness and return on investment for programming, promotional spots, and advertisements.

Abstract: In a video delivery context, collection and analysis of viewing data can provide insight into viewer interaction with video and the Internet. The viewing data can be transmitted in a controlled manner to a data repository. The system can selectively target specific viewers/households to obtain viewing data, which can be combined with demographics, anonymized, and encrypted. Embodiments enable precision selection of media opportunities, by determining detailed characteristics associated with broadcasts including movement of audiences and specific viewer behavior, such as visits to websites on the Internet. The effective yield of broadcasts, including promotional spots and advertisements, can be determined and predicted based on concrete data at a level of detail down to individual viewers. Accordingly, embodiments enable improvement of the effectiveness and return on investment for programming, promotional spots, and advertisements.

Abstract: In a video delivery context, collection and analysis of viewing data can provide insight into viewer interaction with video and the Internet. The viewing data can be transmitted in a controlled manner to a data repository. The system can selectively target specific viewers/households to obtain viewing data, which can be combined with demographics, anonymized, and encrypted. Embodiments enable precision selection of media opportunities, by determining detailed characteristics associated with broadcasts including movement of audiences and specific viewer behavior, such as visits to websites on the Internet. The effective yield of broadcasts, including promotional spots and advertisements, can be determined and predicted based on concrete data at a level of detail down to individual viewers. Accordingly, embodiments enable improvement of the effectiveness and return on investment for programming, promotional spots, and advertisements.