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Analyzing traffic source impact on returning visitors ratio in information provider website

机译:分析信息提供商网站返回访客比率的交通源影响

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Web site performance, especially returning visitor is an important metric for an information provider web site. Since high returning visitor is a good indication of a web site's visitor loyalty, it is important to find a way to improve this metric. This research investigated if there is any difference on returning visitor metric among three web traffic sources namely direct, referral and search. Monthly returning visitor and total visitor from each source is retrieved from Google Analytics tools and then calculated to measure returning visitor ratio. The period of data observation is from July 2012 to June 2015 resulting in a total of 108 samples. These data then analysed using One-Way Analysis of Variance (ANOVA) to address our research question. The results showed that different traffic source has significantly different returning visitor ratio especially between referral traffic source and the other two traffic sources. On the other hand, this research did not find any significant difference between returning visitor ratio from direct and search traffic sources. The owner of the web site can focus to multiply referral links from other relevant sites.
机译:网站性能,尤其是返回访客是信息提供商网站的重要指标。由于高回报访客是一个很好的网站访客忠诚的良好指示,重要的是找到一种改进这个度量的方法。这项研究调查了,如果三个Web流量源之间的返回访客度量有任何差异,即直接,推荐和搜索。从Google Analytics工具中检索每月返回访客和来自每个来源的总访问者,然后计算以测量返回访客比率。数据观察期为2012年7月至2015年6月,导致总共108个样本。然后使用单向分析方差(ANOVA)进行分析,以解决我们的研究问题。结果表明,不同的交通源具有显着不同的返回访客比,特别是转诊交通源和其他两个交通源之间。另一方面,该研究没有找到从直接和搜索流量源的返回访客比之间的任何显着差异。 Web站点的所有者可以专注于从其他相关网站乘以推荐链接。

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