Linear Audience Optimization

Linear Audience Optimization


Linear audience optimization involves the maximization of the time, schedule, and resources
invested into programs on linear media in order to achieve consumer satisfaction and increased
ROI based on the data analysis and feedback obtained from such audience.


A linear audience simply refers to people who watch, listen or read information in a progressive
fashion or in a particular direction intended by the author or programmer of that information. In
other words, the linear audience is the consumer of information on linear media.

Examples are radio listenership, TV viewership, pre-recorded cassettes, CD’s, tapes, etc. The
linear audience is the opposite of a non-linear audience.

Linear audience optimization involves the use of data science to obtain the statistics and
demographics of a linear audience in order to analyze content and allocate resources more
intelligently to achieve an effective media outreach, improve consumer satisfaction and
accumulate an increased ROI.

Data used in linear audience optimization can be retrieved from surveys, recorded data
transmitted through network lines, feedback from the audience, research, and so on. This data
can then be analyzed and compiled into a comprehensive report with the use of intelligent
audience data systems.

The report provides producers or program schedule managers with necessary information on
how to provide, control, restrict, and most importantly the best way to commercialize or
introduce their commercial activities to the audience and achieve maximum ROI.

Linear audience optimization will then refer to an exploration of audience data in order to
effectively market programs or commercials scheduled in a progressive mode.


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