{"title":"基于销售数据的用户行为路径分析","authors":"Wangdong Jiang, Dongling Zhang, Yapeng Peng, Guang Sun, Ying Cao, Jing Li","doi":"10.32604/jnm.2020.010088","DOIUrl":null,"url":null,"abstract":": With the rapid development of science and technology and the increasing popularity of the Internet, the number of network users is gradually expanding, and the behavior of network users is becoming more and more complex. Users’ actual demand for resources on the network application platform is closely related to their historical behavior records. Therefore, it is very important to analyze the user behavior path conversion rate. Therefore, this paper analyses and studies user behavior path based on sales data. Through analyzing the user quality of the website as well as the user’s repurchase rate, repurchase rate and retention rate in the website, we can get some user habits and use the data to guide the website optimization.","PeriodicalId":69198,"journal":{"name":"新媒体杂志(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"User Behavior Path Analysis Based on Sales Data\",\"authors\":\"Wangdong Jiang, Dongling Zhang, Yapeng Peng, Guang Sun, Ying Cao, Jing Li\",\"doi\":\"10.32604/jnm.2020.010088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": With the rapid development of science and technology and the increasing popularity of the Internet, the number of network users is gradually expanding, and the behavior of network users is becoming more and more complex. Users’ actual demand for resources on the network application platform is closely related to their historical behavior records. Therefore, it is very important to analyze the user behavior path conversion rate. Therefore, this paper analyses and studies user behavior path based on sales data. Through analyzing the user quality of the website as well as the user’s repurchase rate, repurchase rate and retention rate in the website, we can get some user habits and use the data to guide the website optimization.\",\"PeriodicalId\":69198,\"journal\":{\"name\":\"新媒体杂志(英文)\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"新媒体杂志(英文)\",\"FirstCategoryId\":\"1092\",\"ListUrlMain\":\"https://doi.org/10.32604/jnm.2020.010088\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"新媒体杂志(英文)","FirstCategoryId":"1092","ListUrlMain":"https://doi.org/10.32604/jnm.2020.010088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
: With the rapid development of science and technology and the increasing popularity of the Internet, the number of network users is gradually expanding, and the behavior of network users is becoming more and more complex. Users’ actual demand for resources on the network application platform is closely related to their historical behavior records. Therefore, it is very important to analyze the user behavior path conversion rate. Therefore, this paper analyses and studies user behavior path based on sales data. Through analyzing the user quality of the website as well as the user’s repurchase rate, repurchase rate and retention rate in the website, we can get some user habits and use the data to guide the website optimization.