Even though many streaming platforms are globally similar to each other in terms of functionality, they are distinguished by a fundamental approach to content. Since technical advances and more intelligent customer segmentation over narrower streaming platforms were potential paths for the company, it makes sense to quantify the content. With many companies limiting their usage rights – DisneyPlus, for example, features almost exclusively Disney’s work – Netflix is one of the most crowded platforms. As a consequence, the hypothesis of this work will be as follows. The study will evaluate whether there is a correlation between the amount of content, views, and time spent on the platform. Thus, information will be available on how much Netflix is in a winning or losing position relative to other streaming services. Moreover, the study will indicate whether the current policy of effective content of the platform, unlike others, is efficient and effective. Finally, testing this hypothesis, among other things, will collect a lot of demographic data, revealing a more detailed picture of the marketing analysis of the company’s segmentation.
The variables in the research will be the number of views on the platform and the average time spent by users. These variables are independent, while the amount of content will become dependent. The research will be compared with competitors to reveal the global connection between them, which determines the development policy. Focusing on Netflix will provide critical information both for the company itself and the industry as a whole, making it possible to utilize said information from interest base sources. It is proposed to test the hypothesis by searching for the Pearson correlation coefficient and testing the results for statistical significance.