Abstract: The effectiveness of advertisements with respect to a group of panelists is measured. Based on the results of such analysis, advertisements and/or variants thereof are selected for presentation to consumers. Effectiveness of advertisements is measured, in one embodiment, by detecting exposure to advertisements, and then monitoring panelist behavior following exposure to an advertisement. In one embodiment, the group of panelists is a representative sample of a larger population, so that observations of panelist behavior can be used as a basis for making decisions regarding presentation of advertisements to a larger audience having characteristics similar to those of the panelists. Once the relative effectiveness for various audiences has been determined, advertisements can be selected for presentation to individual consumers or to groups of consumers, so as to maximize effectiveness. In one embodiment, such analysis and selection is performed substantially in real-time.

Abstract: The effectiveness of advertisements with respect to a group of panelists is measured. Based on the results of such analysis, advertisements and/or variants thereof are selected for presentation to consumers. Effectiveness of advertisements is measured, in one embodiment, by detecting exposure to advertisements, and then monitoring panelist behavior following exposure to an advertisement. In one embodiment, the group of panelists is a representative sample of a larger population, so that observations of panelist behavior can be used as a basis for making decisions regarding presentation of advertisements to a larger audience having characteristics similar to those of the panelists. Once the relative effectiveness for various audiences has been determined, advertisements can be selected for presentation to individual consumers or to groups of consumers, so as to maximize effectiveness. In one embodiment, such analysis and selection is performed substantially in real-time.

Abstract: The effectiveness of advertisements with respect to a group of panelists is measured. Based on the results of such analysis, advertisements and/or variants thereof are selected for presentation to consumers. Effectiveness of advertisements is measured, in one embodiment, by detecting exposure to advertisements, and then monitoring panelist behavior following exposure to an advertisement. In one embodiment, the group of panelists is a representative sample of a larger population, so that observations of panelist behavior can be used as a basis for making decisions regarding presentation of advertisements to a larger audience having characteristics similar to those of the panelists. Once the relative effectiveness for various audiences has been determined, advertisements can be selected for presentation to individual consumers or to groups of consumers, so as to maximize effectiveness. In one embodiment, such analysis and selection is performed substantially in real-time.

Abstract: The effectiveness of advertisements with respect to a group of panelists is measured. Based on the results of such analysis, advertisements and/or variants thereof are selected for presentation to consumers. Effectiveness of advertisements may be measured by detecting exposure to advertisements, and then monitoring panelist behavior following exposure to an advertisement. A group of panelists may be a representative sample of a larger population, so that observations of panelist behavior can be used as a basis for making decisions regarding presentation of advertisements to a larger audience having characteristics similar to those of the panelists. Once the relative effectiveness for various audiences has been determined, advertisements can be selected for presentation to individual consumers or to groups of consumers, so as to maximize effectiveness. Such analysis and selection may be performed substantially in real-time.

Abstract: A computing device forms a predictive composite score by retrieving geographically based wireless networking performance data derived from at least one mobile device. At least some of the geographically based wireless networking performance data is temporally averaged and geostatistically combined to form the predictive composite score. The predictive composite score is a forecast of expected performance quality of a wireless communication network in a particular geographic region.

Abstract: Methods and apparatus for monitoring a portable device are disclosed herein. An example method includes connecting to a portable device using a shell. Whether the shell has an elevated privilege on the portable device is verified. In response to detecting that the shell does not have the elevated privilege, the elevated privilege is gained. A packet capturer is installed on the portable device using the elevated privilege, the packet capturer to capture packets to produce media exposure data, the elevated privileges to enable the packet capturer to capture packets after disconnection of the shell from the portable device.

Abstract: Methods and apparatus for monitoring a portable device are disclosed herein. An example method includes connecting to a portable device using a shell. Whether the shell has an elevated privilege on the portable device is verified. In response to detecting that the shell does not have the elevated privilege, the elevated privilege is gained. A packet capturer is installed on the portable device using the elevated privilege, the packet capturer to capture packets to produce media exposure data, the elevated privileges to enable the packet capturer to capture packets after disconnection of the shell from the portable device.

Abstract: A web-server communicates wireless networking performance data that reflects the true user experience of a mobile device operating in a particular location and operating on a particular wireless network.

Abstract: A computer-implemented system, apparatus and method for accessing a portable device to execute monitoring capabilities. The monitoring capabilities include packet detection, which in turn may be processed to produce media exposure data. The monitoring capabilities are installed using privileged access in order to obtain data from a kernel layer of the portable device, and the device is returned to an original state following installation, in order to comply with operating system requirements. Audio media exposure data may further be integrated with the packet-detected media exposure data.

Abstract: A computing device forms a predictive composite score by retrieving geographically based wireless networking performance data derived from at least one mobile device. At least some of the geographically based wireless networking performance data is temporally averaged and geostatistically combined to form the predictive composite score. The predictive composite score is a forecast of expected performance quality of a wireless communication network in a particular geographic region.

Abstract: A web-server communicates wireless networking performance data that reflects the true user experience of a mobile device operating in a particular location and operating on a particular wireless network.

Abstract: A computing device forms a predictive composite score by retrieving geographically based wireless networking performance data derived from at least one mobile device. At least some of the geographically based wireless networking performance data is temporally averaged and geostatistically combined to form the predictive composite score. The predictive composite score is a forecast of expected performance quality of a wireless communication network in a particular geographic region.

Abstract: A web-server communicates wireless networking performance data that reflects the true user experience of a mobile device operating in a particular location and operating on a particular wireless network.

Abstract: A computing server directs a mobile device to collect and communicate realistic and accurate user quality information according to a data collection rule. The computing server receives, filters, and stores the user quality information in a database. The computing server processes the data and communicates the data to a web-server.

Abstract: A computer-implemented system, apparatus and method for monitoring media exposure data and correlating media exposure data to locations. Location data may be generated utilizing measurements of radio waves from WiFi and/or Bluetooth. Identification may also be transmitted when WiFi and/or Bluetooth transmission are received. As media is reproduced or received on/near a portable device, media exposure data is generated. Subsequent location data is monitored and processed to determine specific locations that may include commercial establishments. The locations are then correlated to the media exposure data to determine user actions related to media exposure.

Abstract: A computer-implemented system, apparatus and method for accessing a portable device to execute monitoring capabilities. The monitoring capabilities include packet detection, which in turn may be processed to produce media exposure data. The monitoring capabilities are installed using privileged access in order to obtain data from a kernel layer of the portable device, and the device is returned to an original state following installation, in order to comply with operating system requirements. Audio media exposure data may further be integrated with the packet-detected media exposure data.

Abstract: A web-server communicates wireless networking performance data that reflects the true user experience of a mobile device operating in a particular location and operating on a particular wireless network.

Abstract: A mobile device executes software. The software collects realistic and accurate user quality information without degrading the user experience of the mobile device during the data collection process. The software operates as a background application, and may have a user interface, and the software is remotely controllable and updatable by an external server.

Abstract: A mobile device executes software. The software collects realistic and accurate user quality information without degrading the user experience of the mobile device during the data collection process. The software operates as a background application, and may have a user interface, and the software is remotely controllable and updatable by an external server.

Abstract: A mobile device executes software. The software collects realistic and accurate user quality information without degrading the user experience of the mobile device during the data collection process. The software operates as a background application, and may have a user interface, and the software is remotely controllable and updatable by an external server.