Archive for Webtrends – Page 2

The future of tagging

An interesting whitepaper crossed through my email inbox today titled ‘The Future of Digital Measurement and Personalization’ by Gary Angel at Semphonic. I always enjoy the papers written by the fine folks there, and you may find this document insightful as well. Basically the concept put forth is that tagging websites for web analytics, functionality and interactivity is unweildy and worsening because governance (change control and stability) is a huge challenge as time goes on. I like the concept of a TMS (tag management system), and we’ve seen each web analytics vendor put forth the bones of TMS such as Webtrends Tag Builder. This document focuses on Celebrus and their tag management and data warehousing solutiuons and I plan to study their solutions in the coming days. Thanks for reading!

Web Analytics Tag Management

We’ve all tried all sorts of tricks to manage our web analytics tags: server-side include files, JavaScript include files, etc.

Here is a tidy little post which lists some online tools to manage web analytics code tags. It does not mention the Webtrends Tag Builder, probably because it is too specific. But I mention it again, because it is a valuable tool for those using Webtrends and the Source Data Collector (SDC). I am anxious to see the Adobe Tag Manager when it becomes available – I think it will be a huge help managing Site Catalyst installations.

Top web analytics vendors have announced major upgrades to their flagship products at Winter/Spring 2011 conferences. Webtrends and Adobe (Omniture) are no exceptions!

In Webtrends Analytics 10, the big new features I’m excited about are the possibilities of gathering and reporting data not specifically tagged, and integration with external data sources such as Facebook, Twitter and pretty much anything with an API. With regards to gathering specifically untagged data, I’m not sure how it works, or if that is only possible using http logs, but it sounds intriguing.

Next there is Adobe which recently announced SiteCatalyst version 15 which will allow analysts to segment visitors ‘on the fly’ and will finally provide visits and visitors measures on just about every report where those were previously unavailable. (Now if only Regular Expressions were supported!). Another caveat: upgrades to SC15 won’t happen automatically and will have to be scheduled with support.

(Side note: Douglas Karr at Marketing Tech Blog puts in a quick comparison of Webtrends Analytics 10 and Omniture SiteCatalyst 15.)

Couple these upgrades with ShufflePoint, a new business intelligence (BI) tool which can aggregate data from multiple sources and push it to various destinations and report formats. Right now ShufflePoint only supports pulling data from Google Analytics (but that covers a lot of web analytics users!), however many other sources will soon be added, including Webtrends, Omniture, Facebook, and Twitter.

One more thing I can’t resist: this possibly creepy tool called BeenCounter (as in where have you Been?). This tool is a branded as a behavioral targeting and tracking service. If you decide to install BeenCounter, this tool can dig in to the history bar of your visitor’s browser and dig out lists of sites your visitors have visited. Imagine what you could do with this data as a marketer… you’ll be able to tell if your customers have been surfing your competitors offerings and more. Of course, BeenCounter allows that they don’t track usage of sensitive sites. But what exactly does that mean?

Enjoy the new tools and technology!

Regular Expressions: a web analyst’s best friend

Ever heard of Regular Expressions? The first time I read the term I thought, “Hmm, so what’s the difference between a regular expression and an irregular expresson?”

Ha ha. 🙂

Since that day I’ve used regular expressions to save time and to cover a lot of ground really fast when searching through large text files (http log files), for text parsing in programming, and when confiiguring web analytics tools.

So, what are regular expressions, anyway? First, you might see them referred to as Regex. Regular Expressions are short, rather cryptic patterns used for finding text within large files. If memory serves, Regex originated in the Perl programming language. Anyway, regular expressions are fast. And handy. (And why on earth aren’t they more widely supported in Omniture?) Many widely used tools such as text editors and many programming languages support various implementations of Regex. Take the time to learn them and you’ll save a lot of time combing through large files trying to find all occurrences of a certain text string.

Web analytics consultancy Lunametrics has kindly released a nice little ebook about Regular Expressions and how they can be used in Google Analytics. It’s a free download – check it out! Your web analytics will be better for your learning effort.

One fantastic tool I use which supports Regex is AstroGrep (available from Sourceforge.net). I frequently use AstroGrep as a programming tool and as a http logfile utility. So useful for finding all log entries for a certain site visitor (sessionalizing a user’s clickstream), etc.

Logfile Analysis

A lot of folks dread reviewing log files.  Log file analysis need not be such a horrible task with the right tools.  Find dozens of log file analysis tools (including some useful tools for the web analyst and web developer) at LogAnalysis.org

Now more than ever it is important to monitor web server activity by reviewing http access files and event logs. Take a moment and review the various logfiles in your environment as soon as possible.  Recently I reviewed a site’s logs and realized that one page of the site was under constant attack from overseas. It wasn’t long before this constant traffic turned into a DDoS attack which was easily stopped by blocking the origin IPs. What started out as casual, routine log review became a task with a serious outcome.  Let me know your thoughts and experiences!

Speaking the language

or… Translating Webtrends-speak to Omniture-speak.

June Dershewitz provided this excellent short post at her web analytics blog to help those who know Omniture and need to learn Webtrends, and vice-versa.  Specifically, she’s writing about migrating between the two packages, but there’s great info for anyone who ‘grew up’ using one package before learning the other.

Learn more about what we do

Services