Recently a friend asked me for some pointers on the measurement of social media, such as blogs.

I have found that Jeremiah Owyang has a lot of interesting things to say on this topic, as exemplified by has article What should we measure and the document Tracking the Influence of Conversations: A Roundtable Discussion on Social Media Metrics and Measurement.

Yet it isn’t sufficient that we measure conversation on the web, we must also consider potential traps hidden in the data – we need to interpret it.

Consider the case of a blog post. The extent that a post has been read and has involved a blog’s readers might be deduced from the number of comments the post has generated. Two potential problems arise using this metric.

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In three short years ¹ Google Analytics has become an important tool for many companies looking to get more out of their presence on the web. Google Analytics’ wide range of website reports, from traffic sources to conversion rates, provide invaluable insight into a site’s business performance for an initial cost which is difficult to beat.

One particular report, the Search Engine report, is of particular interest to companies looking to optimize their organic search engine marketing activity. This report identifies sources of search traffic that brought visitors to the website.

For each search engine source, a drill-down feature shows the keywords people used – the very keywords which express a visitor’s intent as they came to your website.

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Microsoft is the other main player, after Google Analytics, in the area of free Web Analytics tools for the analysis of browser centric web data. Microsoft’s adCenter Analytics is the successor to the former LiveSTATS thanks to Microsoft’s acquisition of DeepMetrix in April 2006¹.

Why search engines offer Web Analytics

Certainly the name Microsoft choose for its Web Analytics tool says a lot: with adCenter Analytics you know the priority is on advertising. Google has taken a softer approach with Google Analytics; sure there is and will be strong integration with AdWords, yet everyone is welcome to take advantage of Google Analytics even if they aren’t (yet) an AdWords client. The official line is that having experienced the power of measuring business results derived from a company’s web presence, marketing professionals will be more inclined to become AdWords clients. One presumes as well that the data collected by Google Analytics is used inside Google to measure the overall state of traffic on the web (including Google’s competitor’s market share – the benchmarking with other sites feature gives an idea of the possibilities). I hope that Microsoft will adopt a more enlightened Internet strategy and aggressively promote adCenter Analytics usage among non-adCenter clients. Google is a great company but could use some competition.

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Last summer I looked at the different web statistics available for benchmarking the competition. From a marketing point of view, the result wasn’t very good. Poor methodology and a lack of transparency mean that most publicly available web statistics are worse than useless: by providing a false sense of confidence, they can lead to bad business decisions.

It is thus with much interest that I note the announcement of a new web marketing benchmarking comparison service from Google.

Integrated into Google Analytics, this functionality will be limited in scope:

• Sites must use Google Analytics and enable their participation in the program.
  • Competitors such as Fireclick’s web analytics benchmark index make some data publicly available without having to use the tracking tool. I can already think of the work-arounds some companies will find to this issue.

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How to perform competitor research using web statistics while avoiding lies, damned lies, and …statistics?

Comparison with competitors is a fundamental element of business; even innovators need to know how far ahead they are in their market. The Internet seems to offer fertile terrain for capturing accurate marketing statistics on website usage and position relative to other players in a given market. Indeed, most of us have often heard web statistics from Nielsen//NetRatings, Alexa or comScore cited in the press and elsewhere. Practitioners of Search Engine Optimization and web marketing know that web analytics is not just silo analysis of a company’s website: it also entails looking at how a website and its business performance metrics measure up in the overall web ecosystem.

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Web Analytics tracking choices with advantages and disadvantages

Basic Web Analytics tools usually fall into one of two categories:

• Web server log file based
• JavaScript embedded page tags

Both have advantages and disadvantages.

By default, server logs contain much richer data than that usually tracked by JavaScript page tracking. For organizations focused on search engine visibility, web server logs show which pages have been crawled by each search engine crawler – and how recently.

• JavaScript page tracking code does not trigger when a page is downloaded by automated robots. Proponents of JavaScript systems tout this as beneficial – their systems only track human activity. This is really just putting a brave face on a limitation. Better web log file analysis systems are able to separate human from non-human traffic.

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