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Increasing the Informational Content of Reach and Frequency Estimates
Authors:Robert S Headen  Jay E Klompmaker  Jesse E Teel Jr
Institution:1. Washington State University , Pullman , Washington , USA;2. University of Connecticut , Storrs , Connecticut , USA
Abstract:This article discusses the limitations of present methods of analyzing the coverage of advertising schedules and presents a technique for obtaining additional information from traditional measures of schedule coverage. This technique models entire patters of audience exposure to commercials by means of a compound Bernoulli distribution that can be estimated from reach and frequency data. Knowledge of the complete pattern of audience exposure to advertising schedules assists the media analyst in selecting optimally effective advertising schedules and consequently enhances the probability of conducting a successful advertising campaign.
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