The reason why Google Analytics (GA) is sought after is that you can track website traffic for a complete process defined in an online business model. One can set the ultimate target as the goal for GA tracking and GA will track every step of the process until the defined goal.

However, the problem is that GA does not reprocess historical data.  GA will only start to track goal conversion data from the day you set the goal in GA. Nevertheless, here is a simple way to track goal conversions without setting goals in GA for historical data as well. To do this, here are some conditions:

1) You should tag your entire website by the proper Google Analytics Tracking Code (GATC). At any rate, pages from the landing page to the goal conversion page must have the proper GATC.

2) Here are two examples:

Case I:

The URL of the goal conversion page should be different from the other pages.

Example of unique URLs are:

* Step 1 (Landing Page) – www.mysite.com/landingpage.html

* Step 2 (Sign up Form) – www.mysite.com/sign_up.html

* Step 3 (Finish/Final Goal Page) – www.mysite.com/sign_up.html

Here the URL from the Sign up Form to the Final Goal Page has unique URLs: ‘www.mysite.com/sign_up.html’

The ideal path should be as follows:

* Step 1 (Landing Page) – www.mysite.com/landingpage.html

* Step 2 (Sign up Form) – www.mysite.com/sign_up.html

* Step 3 (Finish/Final Goal Page) – www.mysite.com/thanksone.html

Case II:

The page title should be different for each step despite the unique URLs.

The page name is mentioned between title tags of the page e.g. <title> Page Name </title>. For example, you can check the website www.position2.com where the home page is titled:

<title> Social Media Marketing & Search Engine Marketing Company – Position2 </title>

Therefore, the steps to take for different page names are:

* Step 1 (Landing Page) – Your Air Ticket

* Step 2 (Sign up Form) – Registration Form

* Step 3 (Finish/Final Goal Page) – Thanks for signing up!

Here is how you can get goal conversion values in GA:

1) Go for Advanced Segments

2) Create new segment ‘Goal Conversion’ for Case I above. Use the thank you page request URI ‘/thanksone.html’ in the value field for this segment. Then save the segment.

For Case II, use the page title of the thank you page ‘Thanks for signing up!’ in the value field for this segment. Then save the segment.

3) Choose two segments such as the one from Default Segment and another from Goal Conversion. Apply it to the report.

4) You will see the output as:

Here you can clearly see that out of 1,123 visits, 67 visits were converted. We found 98% accuracy of achieving goal conversion numbers through the Advanced Segments approach. You can apply this segmentation to all reports excluding goal-reporting suit.

Contributed by Bhagawat Jadhav

Generally, Pay per click (PPC) account managers find it difficult to monitor performance of their content campaigns. In order to optimize their campaigns, it is important for them to understand whether the chosen keywords are the right ones, especially to measure the performance of the keywords they bid for.

The content network displays ads to users as they search for topics of interest and browse sites that relate to their keywords. The ad group’s entire keyword list helps determine where ads show on the content network. Here the rule is, the more closely related the keyword, the more likely the ads will find the right audience.

It is important to know which keywords actually worked on which site. However, Google does not provide this information in any Google AdWords report or directly through Google Analytics (GA).

When you use “Auto Tagging” to track AdWords’ data in GA, all applicable information such as campaign name, ad group name, keywords, ad content, etc. are tracked by the query parameter gclid – Google click id, which is a unique combination of characters and numbers.

Here is a sample GA analysis for content campaigns in a typical keyword report:

Getting data for high-performing keywords for content campaigns

By manually tagging and extracting data or logs to your server, you can accumulate data for high performing keywords of content campaigns. Here is how we do this:

First, tag the landing page (for example: http://www.mysite.com/users/home.aspx) with the proper utm, Network and SiteTarget parameters as follows:

http://www.mysite.com/users/home.aspx?utm_source=google&utm_campaign=contasap&utm_medium=cpc&utm_term=

quick&Network={ifContent:C}{ifSearch:S}&SiteTarget={placement}

Note:

• For more on utm parameters go to:

http://www.google.com/support/googleanalytics/bin/answer.py?hl=en&answer=55578

• Network – is used to differentiate search and content ads

• SiteTarget – is used to obtain the site name where your ad is displayed

When a visitor clicks on your content ad, which is displayed on www.nytimes.com, the URL captures the information as follows:

Example:

http://www.mysite.com/users/home.aspx?utm_source=google&utm_campaign=sitedefeb&utm_medium=cpc&utm_term=

iphone&Network=C&SiteTarget= www.nytimes.com

Next, gather the query parameter values on your back-end data.  The parameter value of the utm_term will provide you the keyword that helped you display your ad on the website.

Conclusion:

By using this method, one can understand which keyword was converted from which campaign and from which site. This will give you the insight into which keywords to retain and which ones to remove from your list of keywords for PPC, thereby maximizing ROI through content campaigns.

Contributed by Bhagawat Jadhav