Consumer Evaluation System in Webcast Based on Data Analysis

Abstract

With the birth and rapid development of the Internet, online live shopping has also developed rapidly, which has changed the traditional physical consumption shopping form to a certain extent and is developing rapidly with strong momentum. Internet not only meets people’s main needs of purchasing goods and obtaining corresponding services, but also is a convenient choice for information exchange. Different from the traditional offline entity consumption mode, the satisfaction degree of consumer groups in webcasting is seriously divided, and the word-of-mouth evaluation after shopping consumption affects the purchase decision of online consumers. There is information inequality between consumers and merchants in online transactions, but the consumer evaluation system can make transactions transparent, so that potential consumers can also make shopping judgments and reduce unnecessary consumption expenses. Therefore, the importance of consumer evaluation system is becoming more and more critical. Based on the method of data analysis, this paper studies the consumer evaluation system in webcasting from the perspective of consumers and taking consumers’ online shopping experience as reference factors. In order to establish consumer evaluation and consumer trust of the webcast platform, establish a better consumer feedback mechanism in the live shopping environment, improve the consumer feedback and evaluation mechanism of the webcast industry, provide more effective evaluation guidance for merchants and anchors, enrich the research on online consumer evaluation behavior, improve consumers’ trust in the live consumption environment, and promote the healthy and vigorous development of the webcast industry.