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Published on 20 June 2024
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Li,R.;Duan,S. (2024). Business Model Analysis of Netflix. Advances in Economics, Management and Political Sciences,92,285-292.
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Business Model Analysis of Netflix

Ruiting Li *,1, Shengqi Duan 2
  • 1 College of Business and Public Management, Wenzhou-Kean University, Wenzhou China 325060
  • 2 Sociology University of Seeattle, Washington, The United States, 98105

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2754-1169/92/20231106

Abstract

Netflix does user behaviour analysis with the use of data analytics in order to direct content strategy and increase customer engagement. An in-depth analysis has shown that Netflix employs sophisticated algorithms to assess viewing trends and preferences in order to create information that may be used. Netflix can provide personalized suggestions, recognize popular content categories, and constantly improve its platform as a result of the data-driven insights it obtains. In the end, the use of data analytics by netflix helps the corporation to acquire and develop highly relevant content, improve the user experience, and increase customer retention rates. This study makes a contribution to the existing body of literature on data analytics and media platforms. In addition to this, it has a number of important practical consequences for businesses who want to compete in the era of digital streaming.

Keywords

Netflix, Business Model, Marketing Analytics, Content Strategy, Customer Engagement

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Cite this article

Li,R.;Duan,S. (2024). Business Model Analysis of Netflix. Advances in Economics, Management and Political Sciences,92,285-292.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Financial Technology and Business Analysis

Conference website: https://2023.icftba.org/
ISBN:978-1-83558-483-5(Print) / 978-1-83558-484-2(Online)
Conference date: 8 November 2023
Editor:Javier Cifuentes-Faura
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.92
ISSN:2754-1169(Print) / 2754-1177(Online)

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