Abstract: A system and method for analyzing the viewing behavior of end users that are viewing video content to determine the likely presence of one or more advertisements being viewed and to assess the viewers who stop viewing during the course of such advertisements. The system periodically or continuously receives tune data reflecting the viewing behavior of end users, analyzes the cumulative viewing behavior reflected by the received tune data, and delivers a report of the analysis to advertisers, agencies, media sellers, or other parties that are interested in measuring the effectiveness of advertisements on end users. The analysis by the system can be done over multiple different types of content-distribution platforms.

Abstract: A system and method to measure the effectiveness of advertisements. The effectiveness of a particular target portion of an advertising campaign (e.g., related to an advertisement or advertisements appearing on a specific network, time of the day, program, etc.) is determined relative to exposures to other portions of the advertising campaign. To facilitate the measurement, the system constructs an exposure interaction matrix, which allows isolation of the effectiveness of one group of advertisement exposures while controlling for exposures across other groups. For each cell of the matrix, the system computes an index. The index indicates how much the target advertisements influenced the conversion decision, relative to the entire campaign. A plurality of exposure interaction matrices may be determined for a plurality of target portions and compared to one another in order to determine a desired advertising schedule.

Abstract: A method and system for identifying tune data from set top boxes associated with televisions, video monitors, or other video playback devices that are likely powered off. In some embodiments, survival curves are constructed that predict a length of time before a video playback device is powered off after a tuning event. The survival curves are used to predict the likelihood that a video playback device is powered off. Viewership estimates made from tune data reported from set top boxes can be adjusted to take account of the video playback devices that are predicted to be powered off.