Abstract: Listening information indicating a number of audience members who switched stations during each of the designated periods of time is displayed on a graph having a plot representing the listening information. The graph is divided into an upper portion and a lower portion about a normalized line representing an average number of audience members who listened during designated periods of time. Additional plots can also be presented, including plots arranged so that portions above the normalized line represent a greater than average number of listeners, and portions below the normalized line represent a lower than average number of listeners.

Abstract: Audience migration information can include information about audience members who tuned to, or away from, a station at particular times, and can suggest a rate of change in the average number of audience members over a first time period, and a rate of change in the number of audience members over a second period. Normalized audience migration information, which can indicate a difference between the two rates of change can be generated and used as one of multiple graph plots. The normalized audience migration information can be generated at a server, at a networked computer running a browser, or the like. A graphical user interface (GUI) can be used to display a graphical representation of the audience migration information. Additional panes tied to the content displayed in the graphical representation can also be displayed in the GUI.

Abstract: Audience response to broadcast content can be gauged by determining how many audience members switched stations while particular programs were broadcast. Data indicating audience members' media consumption can be analyzed to determine the number of times audience members tuned to a station or tuned away from the station. Data related to media content broadcast on particular stations can be analyzed to determine what content was being broadcast at times corresponding to the times audience members switched stations. Performance factors can be assigned to particular programs based on this analysis. Determining how many audience members switched during any one program may include retrieving event records, each of which can represent an audience member that was tuned to a particular media station during a time a particular program was being aired.