Abstract:
Various systems and methods for generating and augmenting viewership datasets are disclosed. In particular, some embodiments prepare the datasets for further analysis by supplementing missing information based upon available data. The system may organize viewership data from disparate formats into a unified form to facilitate analysis and projection of non-reporting device data. In some embodiments, the projections may scale existing cumulative determinations based on information regarding the presence and character of non- reporting devices in different geographic markets.
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 that calibrates subject data for which a relationship to a target population is not known, so that the calibrated subject data can more accurately represent the target population. In many cases the calibration will involve the use of a differential weighting scheme applied to the data at the constituent level. The system and method allows the values of the observed variables in the subject data set to be weighted so that their incidence is equivalent to that of a reference population represented by a reference data set, even if the variables used in the reference data set to make estimates for the reference population were not collected or measured for the subject data set.
Abstract:
A system and method are disclosed that measures audience engagement with a program based on the time a user spends viewing the program. A program's ability to retain viewers is referred to as the "stickiness" of the program. The viewership for a program is determined by the system and then compared to viewership of various other programs in order to assess the audience retention for the analyzed program as compared to the retention of the other programs. The system calculates a "stickiness index" for the program, which is a numerical representation of the analyzed program's stickiness as compared to the average of the other programs. The system may generate a report including the analyzed data and calculated stickiness index for advertisers, agencies, media sellers, or other parties that are interested in assessing viewership of the analyzed program.
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.