Analyzing The Effects of Sessions on Unique Visitors and Unique Page Views with Google Analytics: A case study of a Tourism Website in Thailand

Jiaranai Awichanirost, N. Phumchusri
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Abstract

The tourism industry plays an important role in Thailand's GDP which has given a huge economic boost every year. As we know, most of the tour operators own websites that are accessible worldwide and usually measured by the performance of online marketing. Therefore, the purpose of this paper is to develop a methodology to analyze the effects of sessions on unique visitors and unique page views of tourism websites based on time series data on Google analytics. This cannot be defined by simple regression as it depends on multiple factors, i.e., visitor types, traffic(channels) and technology (browsers). Besides, this paper describes how to use the most accurate data to gain an effective result. The results can be applied to other tourism websites for their analysis as well.
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使用谷歌Analytics分析会话对独立访客和独立页面浏览量的影响:以泰国某旅游网站为例
旅游业在泰国的GDP中扮演着重要的角色,每年都给泰国经济带来巨大的推动力。正如我们所知,大多数旅游运营商都拥有全球可访问的网站,通常以在线营销的表现来衡量。因此,本文的目的是开发一种基于Google分析时间序列数据的方法来分析会话对唯一访问者和旅游网站唯一页面浏览量的影响。这不能通过简单的回归来定义,因为它取决于多种因素,即访问者类型,流量(渠道)和技术(浏览器)。此外,本文还介绍了如何使用最准确的数据来获得有效的结果。研究结果也可用于其他旅游网站的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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