I often wonder how the life of an seo consultant would have been if there was no google analytics. I mean, sure in that case a lot of paid tools like omniture, webtrends etc. Would have dominated the analytics segment of the online world, but then, that would also mean that business owners around the world would have had to pump in those extra bucks into their online marketing campaigns.

Google analytics has become such an integral part of our data analysis and still quite often we land up criticizing it for some of its smallest flaws. But in all of this love and hate game, we always forget the most important feature of this wonderful tool I.E. Its absolutely free and there are a lot of features that a lot of other paid tools do not offer.

On a personal note

I have always believed that custom Spain Business Fax List reports, custom variables and user defined variables are some of the most underrated features of google analytics and many internet marketing firms do not use these amazing features to their fullest potential. In fact, if used intelligently, google analytics more than often can help you come out of tricky situations, especially when you are dealing with high end and high profile, demanding clients.

Imagine a client whose seo

Fax Lists

ppc and social media campaigns are doing really well and yet he comes to you and states that he wants his website to generate more revenue. Keeping this situation in mind, I decided to analyze one of my client’s website from usability point of view and as usual I turned to google analytics for some help.

Now before the word “Usability” misleads EF Leads you I would like to clarify that by usability I meant understanding and analyzing the performance of my website across different browsers in terms of the metrics provided by google analytics. I created a simple custom report with “Browser” as my key dimension. The whole idea was to find loopholes in the website from a browser point of view using some of the key user metrics like bounce rate and %exit. Once I have the data for the under-performing pages the next step would have been to identify any .

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