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:
Exposure to media content across one or more media delivery mechanisms is measured. The delivery mechanisms can include, for example, television and radio, as well as Internet delivery of web pages or other content viewed on a computer, mobile device, or other electronic device using a browser or other application. Media can include web-based content and/or audio content originating from a network source and/or from other content sources. Reference signatures are generated for media content items of interest. Monitoring devices and/or software monitor user exposure to media items, and intercepted signatures are generated. In some embodiments, user exposure across multiple delivery mechanisms is monitored. Reports can be generated based on comparison of the intercepted signatures with the reference signatures; such reports may include analysis of media exposure across multiple delivery mechanisms. Content items can be selected for presentation to a user based on media exposure history.
Abstract:
Music preferences for users are determined by direct sampling and analysis of the user's listening behavior. A user's preferences are derived by identifying songs listened to by the user and analyzing the user's switching-behavior among songs actually being played on the air.
Abstract:
Audible media among different channels is recorded and analyzed to identify repeated instances of the same media item, either within a channel or from channel to channel, over a span of time. Such media items are identified as possible advertisements. A verification process is performed to determine which of these advertisement candidates are in fact advertisements. Once advertisements are so identified, audio from various sources is monitored to identify subsequent occurrences of that advertisement by matching the monitored audio against the stored signatures. In such a manner, advertisement flighting (broadcasts) as well as user exposure to advertisements can be detected and tracked.
Abstract:
User exposure to media items is detected and measured. A mobile client device carried by a user digitally samples the audio environment of the user on a regular basis. These samples are transformed into a stream of data signatures and compared with reference media items to detect user exposure to the reference items. Purchase behavior following exposure to selected media content items can be detected and tracked as well, so as to gauge effectiveness of media items such as advertisements.
Abstract:
User exposure to media items is detected and measured. A mobile client device (101) carried by a user digitally samples the audio environment of the user on a regular basis. These samples are transformed into a stream of data signatures and compared with reference media items to detect user exposure to the reference items. Purchase behavior following exposure to selected media content items can be detected and tracked as well, so as to gauge effectiveness of media items such as advertisements.