Research On The Valuation Method Of Short Video Platform

Since the 21 st century,people have entered the era of rapid development of the Internet economy.The advancement of the Internet economy and the advancement of information technology are quietly affecting people's social networking methods.Especially for the young people in the moment,they no longer only communicate and express themselves by publishing texts and pictures,but also begin to shoot.Short video forms to express your thoughts and attitudes to the outside world.And this is due to the emergence and development of an industry in the Internet-the short video industry.Since the birth of the industry,it has generated amazing vitality,attracting a large user base in a short period of time,and attracting the attention of various investors to the industry.Investors believe that the industry will be considerable in the future.The proceeds.However,because the short video industry belongs to the emerging industry in the Internet,investors have no reference to the evaluation cases,so it is difficult to reasonably evaluate the enterprise value in the short video industry.So in this context,it is especially important to explore which valuation method is applied to properly evaluate the value of short video companies.Based on the analysis of the traditional methods and user values of many literature journals,this paper explores the relevant characteristics of the short video industry to explore which evaluation method should be used to reasonably evaluate the value of short video platforms.The article is divided into two parts.The first part is the theoretical part.This paper analyzes the speciality and profit model of the short video platform and the limitations of applying the traditional valuation method,and then proposes a user value evaluation model that can reasonably evaluate the short video platform.In the case analysis section,the case company selected in this paper is a short video of vibrato.After analyzing its business model and user volume,it establishes a model and evaluates it.