Having Faith in Web Analytics有信仰的网络分析
September 22nd, 2009 · by David Bradley >> 2009年9月22日·由大卫布拉德利“” 3 Comments 3评论
Do you put your faith in your web analytics tool?你把你的网络分析工具的信心呢? Which stats program do you trust to give you an accurate reflection of traffic to your website?哪些统计程序你信任给你一个准确地反映交通到您的网站?
Maybe you have AWstats or Webalizer on your servers, both of which draw conclusions about visitors from the raw web logs generated by your server.也许您有您的服务器上AWStats软件或Webalizer的,两者得出从原材料的网站访问者的结论记录您的服务器生成。 Maybe you're running a snippet of script that reports back to a third-party system like GetClicky.也许你正在运行的脚本片段,报告回第三类GetClicky的政党制度。 You may even remember the old hit counters webmasters in the mid-1990s used to proudly display on their homepage.你甚至可能还记得老击中中骄傲地用他们的网页上显示1990柜台管理员。 Of course, hits mean different things to different people, usually a single person visiting a single page on your site will generate several “hits” because each graphic, script, and button is counted, whereas they actually represent only a single unique visitor.当然,点击意味着不同的事情,不同的人,通常一个人访问您网站的一个页面会产生一些“点击”,因为每个图形,脚本和按钮也计算在内,而他们实际上只占一个唯一的访问者。
Some webmasters claim that many of the current web analytics and stat tools over-estimate or under-report traffic significantly depending.一些网站管理员声称,目前的许多网络分析和统计工具的高估或低估的报告流量显着不同。 Some apparently inflate your unique visitor numbers sometimes by as much as three times, others tell you that you've got far less traffic than you actually have.显然有些夸大您独特的游客人数有时多达三次,有人告诉你,你就比较少的流量比你确实有。 Some look only at visiting IP addresses and cannot always distinguish between bots and real visitors.有的只顾访问的IP地址并不总是能区分真正的机器人和游客。
Those who set no score by server-based stats programs suggest that alternatives such as the likes of Google Analytics, GetClicky, and StatCounter, are better.这些服务器设置谁不评分的统计项目建议,如谷歌分析,GetClicky和StatCounter,喜欢更好的替代品。 Supposedly they reflect your site's traffic much more accurately by ignoring bots and search engine spiders and by hooking into actual pages visited by people surfing the net.据说他们反映您的网站的访问量更准确地忽略僵尸网络以及搜索引擎和挂接到实际网页的网上冲浪人参观。 None of these tools provide a definitive answer because there is no definitive answer.这些工具没有提供明确的答案,因为没有明确的答案。
Unfortunately Google Analytics also has a reputation for under-reporting visitor rates.不幸的是谷歌Analytics也有一个报告不足访问者率的声誉。 But,但是, Dan Grossman丹格罗斯曼 made已制成的 several interesting points about the javascript-based analytics tools, which includes Clicky and Google.几个有趣的论点对基于JavaScript的分析工具,其中包括Clicky和谷歌。
To use these tools you have to add a snippet of javascript code to your site's template so that it runs each time a page is displayed.要使用这些工具,你必须添加JavaScript代码段到您的网站的模板,以便它运行的每一个页面显示的时间。 But, says Grossman, this means that: those tools will miss all visits by people who are using a browser that does not run javascript (either deliberately disabled or else not part of the browser).不过,格罗斯曼说,这意味着:这些工具的人会怀念谁正在使用不运行JavaScript的浏览器的所有访问(无论是故意伤残或其他不属于浏览器的一部分)。 Moreover, while a visitor may read your page, the javascript may not load by the time they hit the back button or a link on the page, and so that view won't count either.此外,虽然访客可以阅读您的网页时,JavaScript可能无法加载的时候,他们击中背部按钮或网页上的链接,因此这一观点也不会计算。 In contrast, Webalizer and Awstats will show that as a pageview regardless because it represents a call to the server.与此相反,Webalizer的和Awstats会自动分析将表明,无论作为一个综合浏览量,因为它代表了对服务器的调用。
None of these tools are going to tell you exactly how many people visit your website, and really you shouldn't care.这些工具都不是要告诉你到底有多少人访问您的网站,实在不应该照顾。 What you should care about is the engagement with your readers and/or your bottom-line sales, depending on whether you're providing information or selling something.你应该关心的是与读者和参与/或您的底线销售,取决于你提供信息或出售的东西。
However, keeping an eye on your raw logs, via AWStats or something similar, as well as running GetClicky or Google Analytics can let you see some quite useful information beyond raw hit rates, including referring sites and country distribution, browser type, screen resolution, all the usual things.不过,保持你的眼睛原木通过AWStats软件或类似的东西,以及运行GetClicky或谷歌分析可以让你看到一些超出原命中率相当有用的信息,包括指土地和国家分配,浏览器类型,屏幕分辨率,所有一般的东西。 Moreover, it can let you see trends in visitor rates, which might reflect changes you make to your site content or layout…and whether you just got a Digg, for instance.此外,它可以让你看到访客率的趋势,这可能反映了变化,您对网站内容或布局...以及您是否得到了公正,例如Digg。
It's a good idea to have some idea of visitor numbers and how these change over time and how they reflect on the aims of your website whether commercial or not.这是一个好主意,有一些想法,游客人数如何随着时间发生变化,以及它们如何在您的网站的目标,反映了无论是商业还是没有。
But, just remember, when that web stats tool is claiming so many million visitors, whether to your site, the BBC, or Digg, you have to ask yourself who is it counting?但是,只记得,当该网络统计工具声称这么多万游客,无论您的网站,英国广播公司,或Digg,你要问自己是谁计算?















3 responses so far ↓ 3答复迄今↓
Brian Clifton 布赖恩顿 // Sep 23, 2009 at 10:35 am 上午/ / 2009年9月23日在10:35
Nice write up David尼斯撰写大卫
For a detailed review (and vendor agnostic) of all accuracy issues affecting web analytics, take a look at the accuracy whitepaper from myself:关于详细的审查(和供应商无关的所有网站分析精度影响的问题),看看自己的精度从白皮书看:
http://www.advanced-web-metrics.com/accuracy-whitepaper http://www.advanced-web-metrics.com/accuracy-whitepaper
I would be interested in your comments.我很想知道在您的意见。
David Bradley 大卫布拉德利 // Sep 23, 2009 at 1:40 pm 下午/ / 2009年9月23日在1:40
Thanks for the whitepaper link Brian.该白皮书的链接感谢布赖恩。 May I recommend that other Scienetext readers take a look and leave their feedback?我建议其他Scienetext读者看看,并留下他们的意见?
Brian Clifton 布赖恩顿 // Sep 23, 2009 at 2:09 pm 下午/ / 2009年9月23日在2:09
Please do.请不要。 I would welcome the feedback as I am in the process of updating it – ETA Oct/Nov.我欢迎的反馈意见,因为我在更新它-埃塔2008年10月/ 11月的过程分。
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