کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1025933 1483216 2012 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Using Google Analytics to measure visitor statistics: The case of food composition websites
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری سیستم های اطلاعات مدیریت (MIS)
پیش نمایش صفحه اول مقاله
Using Google Analytics to measure visitor statistics: The case of food composition websites
چکیده انگلیسی

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.


► Basic web analytics can be carried out with low-cost alternatives.
► Web analytics should not be claimed to be difficult or expensive to exploit.
► Google Analytics gives useful information in return for rather small effort and cost.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Information Management - Volume 32, Issue 6, December 2012, Pages 504–512
نویسندگان
, , ,