Posts Tagged ‘Google Analytics’

Google +1 reporting in Google Analytics

Thursday, July 7th, 2011

Google Analytics recently launched a set of Social Engagement reports which helps you understanding user behavior of visitors who +1 your pages compared to the users who don’t. Google Analytics automatically reports all the clicks on the Google+1 button. With the help of Social Plugin Tracking in Google Analytics you can analyze how the content is being shared by all the social media buttons like “Facebook Like”, “Twitter Tweet” & “Google+1”.

Social Engagement Report is basically set of 3 reports which are available under VISITOR > SOCIAL section of the new GA interface.

Visitor > Social > Engagement: Helps you compare visits which included social action against the visits which did not had any social action.

Visitor > Social > Action: This report helps you comparing the social interactions based on their source. For example: You can compare Facebook Interactions & Twitter Interactions.

Visitor > Social > Pages: With the help of this report you can see number of social actions on each page of the site and this can also be grouped based upon the social media source.

You can set up Social Plugin Tracking by following the simple steps mentioned here: Setting Up Social Plugin Tracking

Kung Fu Panda Strikes Back!

Tuesday, June 14th, 2011

There are many websites which are still trying to recover and getting back on track after the recent changes in Google’s Panda update. This change is to improve the overall SERPS listings and remove out sites that have low-quality pages and bump up websites that have high-quality and unique content.

Google is continuing to put the Kung Fu back in their algo and make it more accurate and refined. That’s right, another Panda update! At SMX Advanced Conference, Google’s spam cop Matt Cutts has confirmed that Google will be launching its new Panda update version 2.2 and Matt says “This new update will target a common webmaster complaint related to the original Panda/Farmer update: sites that scrap & re-publish content and are out-ranking the original source of the content”. Google also mentioned that tweaks in Panda algorithm will be an on-going process. There is a constant scanning of indexed pages going on by Google to find out sites having low-quality content/pages, hidden text, and various other Black-Hat-SEO techniques. If it spots such activities, then it may penalize the site.

There is no specific date given by Google for the launch of this new update worldwide. However, it is always recommended that websites should have fresh content and practice purely White-Hat-SEO techniques.

For more info go to:

New Languages for Google Analytics

Monday, February 1st, 2010

Google on January 29th made available Google Analytics in 6 languages which are as follows:

  1. Bulgarian
  2. Catalan
  3. Greek
  4. Lithuanian
  5. Slovak
  6. Vietnamese

languages 300x280 Google Analytics Tracking Google Analytics New Language Google Analytics Languages Google Analytics GA

Now Google Analytics is available in total 31 languages.

Google Analytics: New Features

Wednesday, December 30th, 2009


Annotations, the newest feature launched in Google Analytics which allows users to put shared or private notes on the graph itself. Making it easier for users to understand traffic behavior and making other people aware about any important change on the website or change in any marketing campaign.

Let’s suppose the company launches a new affiliate marketing program, the GA user with the help of “Annotations” can put a note in GA stating start of campaign on that particular date on the graph. So now if there is a huge increase in traffic, you can easily attribute it to the new affiliate marketing campaign.

annotations 300x132 Tracking Code Setup Wizard Google Analytics New Features Google Analytics GA Tracking Code Setup Wizard GA New Features GA Annotations GA Annotations

Tracking Code Setup Wizard:

With this feature Google Analytics team has made GA implementation even more simpler and even a novice user can do the basic level of GA implementation on its own.

This wizard has some predefined situation (sub domain tracking, multiple domain tracking, mobile web tracking, PHP sites etc.) for which this wizard automatically generate the code, this eliminates manual customization of the code.

tracking code setup wizard 300x221 Tracking Code Setup Wizard Google Analytics New Features Google Analytics GA Tracking Code Setup Wizard GA New Features GA Annotations GA Annotations

Segmenting Traffic using User Defined Variables

Friday, October 2nd, 2009

The user defined variable allows you to “label” visitors on your site if they complete a certain action, such as making a purchase, visiting a key page or filling up a form. These labels are useful because they last across multiple visits to your site.

These labels are often called Custom Segments. Data can be seen in User Defined report under the visitor’s report section.

How to set User Defined Variables?

Let’s say that we want to add a label of “customers” to any visitor who reaches the shopping cart’s receipt page. In order to do this, we would add an additional line of code to the Google Analytics Code on the receipt page.

<script> var gaJsHost = ((“https:” == document.location.protocol) ? “https://ssl.” : “http://www.”); document.write(unescape(“%3Cscript src=’” + gaJsHost + “’ type=’text/javascript’%3E%3C/script%3E”)); </script> <script type=”text/javascript”> try { var pageTracker = _gat._getTracker(“UA-XXXXXXX-1″); pageTracker._trackPageview(); pageTracker._setVar(”customers”); } catch(err) {}</script>

One more use of User Defined Variables is to exclude our own traffic.

For example, let’s say that we want to exclude entire company’s traffic from appearing in reports, and company uses dynamic IP addresses.

Because it would be nearly impossible to write a filter to exclude traffic from a dynamic IP address, we can create an HTML page that is not a part of our website and add Google Analytics Code with the call to _setVar and a label of “employees” (or something similar).

Next, you we ask each employee to visit that page from their browser of choice – this will drop a cookie on their computer, identifying them as “employees.” Finally, we can then apply a filter with the following specifications to profile, and our internal traffic will be excluded:

  • Filter Type: Custom Filter >> Exclude
  • Filter Field: User Defined
  • Filter Pattern: employees
  • Case Sensitive: No