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首页> 外文期刊>International Journal of Information Management >Using Google Analytics to measure visitor statistics: The case of food composition websites
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Using Google Analytics to measure visitor statistics: The case of food composition websites

机译:使用Google Analytics(分析)衡量访问者统计信息:以食品成分网站为例

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摘要

Measuring visitor statistics is a core activity for any website provider. However, the analytical methods have so far been quite limited, difficult, expensive, or cumbersome. Google Analytics (GA) offers a free tool for measuring and analysing visitor statistics. GA was tested on three food composition websites (Denmark, Finland, and Switzerland). All the websites had a considerable number of visitors, which seemed to increase with the maturity of the website. The results also suggested that there were a considerable number of potential unreached users in Denmark and particularly in Switzerland, thus suggesting that promotion be increased and search engines be taken into account more during website design. About 15-20% of users visited the website more than nine times and about 20% spent there more than 10 min on the site. Following traffic from referring websites showed that most of the visitors could not be categorised as food or nutrition professionals. Our experience showed that GA was quite easy to use and gave useful and versatile information that can be used to compare different websites and improve the website design. Finally, we would like to encourage other food composition website providers to utilise either GA or another of the similar tools available.
机译:衡量访问者统计信息是任何网站提供商的核心活动。然而,迄今为止,分析方法是非常有限的,困难的,昂贵的或麻烦的。 Google Analytics(分析)(GA)提供了免费的工具来衡量和分析访问者统计信息。 GA在三个食品成分网站(丹麦,芬兰和瑞士)上进行了测试。所有网站都有相当多的访问者,并且随着网站的成熟而增加。结果还表明,在丹麦,尤其是在瑞士,有相当数量的潜在未联系用户,因此,建议在网站设计过程中增加促销并更多地考虑搜索引擎。大约15-20%的用户访问该网站超过9次,大约20%的用户在网站上停留了10分钟以上。来自推荐网站的流量跟踪显示,大多数访问者无法归类为食品或营养专业人员。我们的经验表明,GA非常易于使用,并提供了有用且通用的信息,可用于比较不同的网站并改善网站设计。最后,我们希望鼓励其他食品成分网站提供商使用Google Analytics(分析)或其他可用的类似工具。

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  • 来源
  • 作者单位

    Division of Welfare and Health Promotion, Department of Lifestyle and Participation, National Institute for Health and Welfare (THL), P.O. Box 30, FI-00271 Helsinki, Finland;

    Institute of Information Systems, Department of Computer Science, ETH Zurich, Universitatstrasse 6, CH-8092 Zurich, Switzerland;

    National Food Institute, Division of Nutrition, Technical University of Denmark, Merkhej Bygade 19, DK-2860 Seborg, Denmark;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    internet; food composition; web analytics; visitor statistics;

    机译:互联网;食物成分;网络分析;访客统计;

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