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Wednesday 30 November 2011

What are the upsides of using Webtrends vs Omniture SiteCatalyst?

We consult companies using either tool (and have no obligation to either vendor, though we will admit a bias towards omniture). Sean has some good info, but a bit of misinformation as well. For points #2 and #4- omniture allows you to choose which kind of cookie to use- 3rd party, 1st party, or a hybrid (friendly 3rd party). This is very flexible for cross-domain reporting. Nor is it true that "with SC each domain gets its own tag"- no clue where someone got that idea.
It is true, though, if you want to use 1st party cookies on an SSL site you have to set it up, and while the process has quite a few steps, the overall amount of work involved isn't that high- I haven't seen it be an impediment for many companies. And we haven't seen any cases where adobe has mismanaged those certificates- the incident with paypal was not the fault of adobe, but (by paypal's own admission) "due to the recent implementation of Microsoft's Extended Validation certificates".
Webtrends can use cookies, IPs, or query params to track a user but none of those methods- used by any analytics vendor- is fool proof. IP addresses can be dynamic, cookies can be deleted, params are a pain to manage. And there will always be discrepancies between those methods.

In our opinion, set up of omniture can be as complicated or simple as you want it to be, but with complexity comes a LOT of flexibility. You choose what parameter to track your campaigns with (and only need one tracking code- any info you have about that tracking code can be applied retroactively without exposing your users to huge long URLs with a billion params.) You choose what to capture in your reports and how to group that data (and if 150 custom variables isn't enough, you may want to rethink how you are using your data- "data hoarding" is a huge industry problem that creates work without providing value.)
Webtrends definitely has prettier reporting and more powerful ways of getting data in or out (and their facebook integration is fantastic), but ad-hoc reporting for a new business question can be a huge pain if you haven't planned ahead just right (as I was recently told, setting up a conversion funnel for a new functionailty we were implementing was a simple as 30 steps!). Webtrend's log file tracking technology was amazing and state-of-the-art in 2001 but they aren't keeping up with their competitors for innovation in tracking. For instance, in item 5 from Sean, he states "Omniture’s infrastructure was built purely for real-time analysis. Thus, the system is pod-based and analyzes in a linear fashion—collection, processing and rendering are all part of a single, linear process." This WAS true but changed with sc15. Omniture is evolving as the needs of the industry are evolving.Forrester recently, as an unbiased 3rd party, did a review of all the tools and how they compare: see the Forrester Wave report for Web Analytics for q4 of

Monday 21 November 2011

Tracking Google Secure Search in SiteCatalyst

This week, Google announced that they plan to start migrating their users who are logged into their Google accounts over to using the Google secure site (https://www.google.com). Their intention is to try to make searching more secure for their users. Here is Google’s announcement of the change: Making Search More Secure

That sounds like a positive change, but how does this effect the analytics community? Well, one of the features of using the Google secure search site, is that Google removes the keyword value that was searched for from the referring URL (the q= value). In other words, if you do a search from the Google secure site, the keywords you searched will not be passed along in the referrer information. The referrer string is what your analytics vendor uses to determine what keywords led visitors to your site from Google.

Here is an example of the referrer string in action. I did a search on the standard non-secure Google site for the term “keystone solutions”.


Clicking the first result, we are taken to the Keystone Solutions site. Checking the Omniture debugger, we can see that the value of the keywords we sarched for appear in the referring URL string as the q= value.

Now lets go to the Google secure site and perform that same search




Again, I click the first result and arrive at the Keystone Solutions site. Checking the debugger this time gives us a very different referring URL value. Here you can see that the q= parameter that held the value of the searched keywords on the non secure site is now blank. Our searched keywords have been removed.




So what direct effect will this have on our reporting? Well, if you track search keyword volume you will begin to see a decline in the keywords that brought traffic to your site. There is no way to capture that missing keyword value. What I would like to see is in the keywords report some indication that a search was still made, but the visitor did it using the Google secure search page, so I can still have an accurate track of my overall searched keyword volume. What can we do about this?

What I have here is a little chunk of code that will inject the value of “Google Secure Search” to the referring URL keyword value (q=) when the visitor came from the Google secure search site, so I can see how many of the searches that were performed, that led visitors to my site, were done using the secure search.

?1 var kr=document.referrer,kk=s.getQueryParam("q","",kr),ks=s.getQueryParam("esrc","",kr);if(kr.indexOf("www.google.com")&&!kk&&ks=="s"){var ksr=kr.split("q="),kq="q=Google%20Secure%20Search";s.referrer=ksr[0]+kq+ksr[1]};
All the code needs to work is the getQueryParam (which just about everybody should be using). Just place that line in the s_code file near the end of the s_doPlugins section and thats it. For all other search engines and for non-secure Google search, everything will work as it always has, but when you do a search using the Google secure site, then you will get the injected “Google Secure Search” value in the keyword variable.

Here is an example of it working in action:


Wednesday 16 November 2011

How to Use Google Adsense Account for More Than One Site or Blog

1. Log on to your Google Adsense account. There are four tabs at the top of the page. The defaulted one (the one you're on) is "Reports."

2. Click the "Adsense Setup" tab.

3. Choose the type of Adsense ad you'd like to add to your website. Continue through the ad-creating interface as usual.

4. When you reach the page that allows you to add channels, stop. Here, click the "Add New Channel" text link. Name the channel something that you will readily identify as pertaining to this particular site. For instance, if you own abc.com and xyz.com, and this add is for the latter site, name your channel xyz.com.

5. Next time you log in to your account to check your Google Adsense statistics, click on the "Top Channels" text link on the Reports page. This will give you a breakdown of your number of page views, number of clicks, CTR (click through rate), and earnings by channel. This will enable you to determine which site is earning more money for you.

WEB ANALYTICS AND SEO: Web analytics

WEB ANALYTICS AND SEO: Web analytics

Tuesday 15 November 2011

Launching ‘Omniture Discover’ without logging on to ‘Site Catalyst’

Do you spend lots of time analyzing data with ‘Omniture Discover’? Are you tired of keying in your username and password every time you login to ‘Discover’?
Launching ‘Discover’ application after you login to your ‘Site Catalyst’ account is time consuming. We all know that if we log in from ‘Site Catalyst’, you are automatically logged in to ‘Discover’. But what if you are not logged on to your ‘Site Catalyst’ account? What if you don’t have the ‘Discover’ URL provided by your ‘Omniture’ admin? Can there be an easier way to access your site data?
Every time the Java files you download are executed it asks for a password to authenticate. Does seeing the below message frustrate you every time you open your ‘Discover’ account?


Here’s the Solution to the problem
1. Select the ‘Discover’ file and Open it with a Notepad or Notepad++.
2. Once you have the file opened in Notepad or Notepad++, scroll down till you see your company name and username. The sample code is shown below.



3. Let’s concentrate on the highlighted argument “token”, this is the key solution to the problem. You need to replace the token argument with password, once you update your password in the source code you can automatically login to ‘Discover’ without keying in your password over and over again.
Here’s the code after the replacement:




4. After these changes are made, save and close the file. Now open the file with Java Web Start Launcher and you are good to go.
So here you are…Happy Analyzing !

Friday 4 November 2011

A Deep Peep into Web Analytics

All would be wonder and eager to know more about the web analytics.Here you can find a small link which will take u to the world of web analytics.Have a view on it.

Web Analytics Summary - "We Tell You More"

Web Analytics Salary Survey All Around

Web Analytics has become one of the hottest career fields in past year. This is exactly what I predicted in January of 2007 when I made the predictions for 2007

Recently an article on WISTV.com says
Companies everywhere are allocating resources to developing effective Web sites, says O'Donnell. [GL1] She points to Web analytics as a specific, cutting-edge job choice. "Companies need people who can make their sites easy to navigate and visually impactful, so Web analysts need to understand human psychology and also be slightly obsessed with the Web," she says.

As people make a decision about their career one of the questions that everybody has on their mind is “What can expect in terms of money?” To answer this question I conducted a salary survey a few months back. In this post I am going to post the result of that survey. I would like to thank all of you who participated in this survey.

I had total of 102 responses from web analysts around the world. I did not have enough data to show salary results for any other country except US. In future I will conduct a survey for a longer period of time to get more data from other countries as well. Every position except the Director had siginificant number of respondents. So when you look at these numbers keep that in mind that salary for Director level might not be a true representation of the actual salaries.

Average and Median Salary by Title

Average salaries and bonus for web analytics positions ranged from $31,000 to $212,000. Most of the people with Analyst titled had 0-2 years of experience. It appears that as these Analysts get more experience and transition into Sr. Analyst their salaries jump significantly (+42% on average).

Base Salary by Job Title





Base Salary and Bonus by Job Title




Average Base Salary and Bonus by Job Title





Over 57% of the respondent had bonus along with the base salaries. Bonus was a component of total package at all the positions.
Sr. Managers seem to have higher bonus than people with Director Title. Since there were very few “Directors” who participated in the survey I am not confident that these numbers truly represent the current market salaries. (I encourage you to participate in next survey that I will conduct to make sure we have enough data points).


Salary based on Total years of Experience

Base Salary by total years of experience



As expected salaries increased with the years of experience. Median salary of “7 and Above” year was below median salary of 5-7 year of experience. I think the cause of this was that a lot of people with experience in other fields made a move to Web Analytics. Their salary in web analytics is higher than what they were making in their previous jobs but still below that of others who have been working in web analytics or marketing fields.

Base Salary and Bonus by total years of experience



Average Base Salary and Bonus by total years of experience





% of compensation in bonus grows with the number of years of experience.
People with 0-2 years of experience make an average of 6% of their base in bonus
People with 2 -5 years of experience make an average of 13% of their base in bonus
People with 5-7 years of experience make an average of 16.5% of their base in bonus
People with 7 and above years of experience make an average of 17.9% of their base in bonus

So do you fall in this range? What would you like to see in future surveys? Leave anonymous comments if you don’t want to disclose your name?


Read more: Web Analytics Salary Survey 2007 - Web Analytics, Behavioral Targeting and Optimization by Anil Batra http://webanalysis.blogspot.com/2008/01/web-analytics-salary-survey-2007.html#ixzz1co40lfdB

Thursday 3 November 2011

History in a new dimension

The main purpose of web analytics is to optimize the web usage. It does so by measuring, collecting, and analyzing the internet data. There are two forms of web analytics, the off-site web analytics, and the on-site web analytics. Both these internet marketing forms are discussed below.

Off-site web analytics internet marketing has nothing to do with your website. It does not matter whether you own a website or not. It primarily focuses on the web, in terms of its population, visibility, and commenting (participation).

As against off-site web analytics, the on-site web analytics focuses entirely on your internet marketing website. The main idea here is to assess the traffic flow of your website. All the strong pages of your website that sell products or services are given due consideration. In simple words, the on-site analytics aims at evaluating and improving the performance of your website in terms of its business value. The information that is obtained as a result of on-site analysis is used for the optimization of the website to produce more business.
Web analytics have always existed since web was formed. In the earlier times, the main focus of the web was to assess the web on the technical front. However, today the internet marketing is assessed on a large scale using web analytics. Web analytics has progressed tremendously over the period of time, but still needs to be explored more. More web developers and internet marketers must make use of the web analytic tools, and optimize the web.

The user actions on a website are always recorded into a log file, by the web server. The records describe the page requests made by the users, delimited by commas. In past, the log files contained only text page requests, as the websites only contained pages that displayed just the text. An innovative programmer thought of using the data in the log file to assess the website performance. He therefore developed a utility that scanned the log file and returned meaningful and easy to understand reports. This was the beginning of web analytics.

Web pages today, do a lot more than just displaying the text. The pages today have animations, graphics, videos, audios and more. Information regarding the user hits on your website, pages that are doing well, pages that are not doing so well etc would be of a great help to you. Such information would help you evaluate the performance of your website. With web analytic tools, this information can be viewed in a very user friendly manner. Graphs and bars are used to display the information, and the same is very easy to understand.

Any web analytic tool would generate reports based on the log records created by the server. If the server fails to create the log file successfully, the web analytic tool will have nothing to display. The web analytic tool would give different results for different websites depending on the traffic flow of the websites. The more the number of user requests, the more is the traffic flow into the website.

History of Web Analytics

The official definition of web analytics by the Web Analytics Association is the measurement, collection, analysis and reporting of Internet data for the purposes of understanding and optimizing Web usage.   This standardized definition was not proposed until 2006, which reflects how young the field is.  Only until the early 1990s did the use of log files become popular among nontechnical persons, particularly with the creation of Analog, one of the first log file analysis programs that was widely available on the Internet, by Dr. Stephen Turner in 1995 . Commercial web analytics started with the founding of WebTrends in Portland, Oregon in 1993, even if they didn’t start selling software until 1995 .  Other important companies are NetGenesis (established in 1994 by MIT graduates), Accrue, Omniture, and WebSideStory (all founded in 1996). By the year 2000, web analytics vendors were struggling with web server logs as optimal sources of data and JavaScript tags emerged as a new standard for collecting data from websites.  JavaScript log files are easier to maintain than web server log files and their use shifts the responsibility of collecting and processing data from internal company IT departments to web analytics vendors in most cases.  Currently the three big vendors are Coremetrics, Omniture, WebTrends.  Mid-market vendors are Unica, Yahoo! Web Analytics and ClickTracks.  Consolidation is common in this industry, for example Omniture acquired the previously fourth big vendor, Visual Sciences (better known as WebSideStory), and Yahoo! Web Analytics was born out of Yahoo!’s acquisition of IndexTools.  Finally there are several basic solutions such as StatCounter and Webalizer.  Google reshaped the web analytics industry in 2005 when it purchased Urchin and, subsequently, released it as a free tool under the Google Analytics  name.  This made first-class web analytics tools available to anybody for free.  The key to success in this industry is constant innovation such as the use of heat maps (cluster of clicks on a web page and their density using colors) from CrazyEgg .  The latest trend in web analytics is moving away from prepackaged key performance indicators (e.g. number of pageviews) towards key actionable insights (e.g. visitor’s primary purpose of visit).  The key trendsetter in the web analytics industry is Google with the Google Analytics tool and Analytics Evangelist, Avinash Kaushik.