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Careers Students
In media, ratings equal money. TV stations attract as many viewers as possible because this directly influences revenue from advertisers. TV stations have a number of instruments available to them to optimize the size of their audience: They can vary the choice of programs broadcast, they can promote programs on TV or other media, and they vary program schedule.
Approach
To determine an optimal schedule, this project attempted to predict what happens when a program is rescheduled i.e. what will happen if program X is aired one hour earlier or is moved to Monday, competing with program Y on the other channel? To make such predictions, we needed to drill down deep into respondent-level viewing data, looking at such factors as: How loyal are viewers of program X? What are they doing one hour earlier? And what are they watching on Monday? Working on this project required advanced econometric modelling, carried out on huge amounts of data.
Careers Students
Ratings Prediction
In media, ratings equal money. TV stations attract as many viewers as possible because this directly influences revenue from advertisers. TV stations have a number of instruments available to them to optimize the size of their audience: They can vary the choice of programs broadcast, they can promote programs on TV or other media, and they vary program schedule.
Approach
To determine an optimal schedule, this project attempted to predict what happens when a program is rescheduled i.e. what will happen if program X is aired one hour earlier or is moved to Monday, competing with program Y on the other channel? To make such predictions, we needed to drill down deep into respondent-level viewing data, looking at such factors as: How loyal are viewers of program X? What are they doing one hour earlier? And what are they watching on Monday? Working on this project required advanced econometric modelling, carried out on huge amounts of data.