Having Faith in Web Analytics有信仰的網絡分析
September 22nd, 2009 · by David Bradley >> 2009年9月22日·由大衛布拉德利“” 3 Comments 3評論
Do you put your faith in your web analytics tool?你把你的信念,您的網絡分析工具? Which stats program do you trust to give you an accurate reflection of traffic to your website?哪些統計程序你信任給你一個準確地反映了交通到您的網站?
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.也許您有AWStats軟件或Webalizer的服務器上,兩者都得出結論訪客從原料所產生的網絡日誌服務器。 Maybe you're running a snippet of script that reports back to a third-party system like GetClicky.也許你正在運行的腳本片段,報告回第三方系統如GetClicky。 You may even remember the old hit counters webmasters in the mid-1990s used to proudly display on their homepage.你甚至可能還記得老擊中櫃檯網站管理員在90年代中期用於驕傲地展示他們的網頁。 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.當然,點擊意味著不同的事情,不同的人,通常是一個人一個頁面訪問您的網站上會產生一些“點擊”,因為每個圖形,腳本和按鈕也計算在內,而他們實際上只佔一個唯一的訪問者。
Some webmasters claim that many of the current web analytics and stat tools over-estimate or under-report traffic significantly depending.一些網站管理員聲稱,目前的許多網絡分析和統計工具的高估或低估的報告流量顯著不同。 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.顯然有些誇大您獨特的遊客人數有時多達三次,有人告訴你,你就比較少的流量比你確實有。 Some look only at visiting IP addresses and cannot always distinguish between bots and real visitors.有的只顧訪問的IP地址並不總是能區分真正的機器人和遊客。
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.這些誰沒有確定評分的基於服務器的程序統計表明,替代辦法,如喜歡的谷歌分析,GetClicky和StatCounter,更好。 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.據說他們反映您的網站的訪問量更準確地忽略殭屍網絡以及搜索引擎蜘蛛和接軌,為實際的網頁訪問的人上網衝浪。 None of these tools provide a definitive answer because there is no definitive answer.沒有這些工具提供了一個明確的答案,因為沒有明確的答案。
Unfortunately Google Analytics also has a reputation for under-reporting visitor rates.不幸的是谷歌分析也有名聲的報告不足訪問者率。 But,但是, Dan Grossman丹格羅斯曼 made已製成的 several interesting points about the javascript-based analytics tools, which includes Clicky and Google.幾個有趣的論點對基於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.要使用這些工具,您必須添加一個片段的JavaScript代碼到您的網站的模板,以便它運行每次頁面。 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).不過,格羅斯曼說,這意味著:這些工具將失去所有的人訪問,誰使用的瀏覽器不執行JavaScript(或者故意禁用或其他不屬於瀏覽器)。 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,雖然訪客可以閱讀您的網頁時,JavaScript可能無法加載的時候,他們擊中背部按鈕或鏈接頁面上的,因此這一觀點也不會計算。 In contrast, Webalizer and Awstats will show that as a pageview regardless because it represents a call to the server.與此相反,Webalizer的和Awstats會自動分析將表明,無論作為一個綜合瀏覽量,因為它代表了對服務器的調用。
None of these tools are going to tell you exactly how many people visit your website, and really you shouldn't care.沒有這些工具將要告訴你,到底有多少人訪問您的網站,實在不應該照顧。 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.你應該關心的是與讀者接觸和/或底線銷售,取決於你提供信息或出售的東西。
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.然而,注視你的原木,通過AWStats軟件或類似的東西,以及運行GetClicky或谷歌分析可以讓你看到一些非常有用的信息點擊率超過原料,包括指土地和國家分配,瀏覽器類型,屏幕分辨率,所有一般的東西。 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,它可以讓你看到的趨勢訪客率,這可能反映了改變您對您的網站內容或佈局...以及您是否只是得到一個Digg,例如。
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.這是一個好主意,有一些想法的遊客人數和如何隨時間而改變,以及如何反映的目標您的網站是否商業或沒有。
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,只記得,當該網絡統計工具聲稱這麼多萬遊客,無論您的網站,英國廣播公司,或Digg,你要問自己是誰計算?















3 responses so far ↓ 3答复迄今↓
Brian Clifton 布賴恩頓 // Sep 23, 2009 at 10:35 am / / 2009年9月23日在上午10時35分
Nice write up David尼斯撰寫大衛
For a detailed review (and vendor agnostic) of all accuracy issues affecting web analytics, take a look at the accuracy whitepaper from myself:關於詳細的審查(和供應商無關的)所有的精度影響的網絡分析問題,採取一看,從自己的準確性白皮書:
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見。
David Bradley 大衛布拉德利 // Sep 23, 2009 at 1:40 pm / / 2009年9月23日在下午1點四十零
Thanks for the whitepaper link Brian.感謝布賴恩該白皮書的鏈接。 May I recommend that other Scienetext readers take a look and leave their feedback?我建議其他Scienetext讀者看看,並留下他們的意見?
Brian Clifton 布賴恩頓 // Sep 23, 2009 at 2:09 pm / / 2009年9月23日在下午2時09
Please do.請不要。 I would welcome the feedback as I am in the process of updating it – ETA Oct/Nov.我歡迎的反饋意見,因為我在這個過程中更新它-埃塔2008年10月/ 11月
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