Nielsen Case

We work with a large TV network in the U.S. that airs a big number of new movies every year around Christmas. In order to get as many viewers as possible, they always have a huge campaign promoting these movies in the weeks before. However, they actually don't know themselves how many of their viewers were influenced by the campaign. This is where you come in!

You will get access to a real-life respondent-level data set, such that your team can use (econometric) models in Excel or Python to explain 'tune-in' to one of their movies. Once you have analyzed the data and created a proper model, you will present your methodology to the client's data scientists. In addition, you will get the chance to pitch your findings about the campaign's performance to the client's board, along with your recommendations on how they can further increase tune-in for their movies.

Please note that this event is open for BSc-3, BSc-4 and (pre-)master students only.