If you have a site, you are always keen to know how it is faring in the search engine rankings. Everybody wants their site to be in the top one or two pages of Google or any of the other search engines and are doing everything they can to improve the SEO of their site.
While there are many ways to find out the performance of your site and how many hits it is receiving, webmasters find it a problem when there is a search update from Google.
This is how people identify the changes in the traffic.
Now tools like Google Analytics do help you check out your site stats quite accurately as long as things are constant and there is no great change in the manner search engines evaluate or rank sites.
But with Google SEO Updates becoming so common and dynamic, webmasters are unable to comprehend the net impact of these updates on the ranking of their sites.
They are also puzzled with the ever changing position of their sites on the search engines and are unsure about what is causing it – is their site getting lesser traffic organically or is it due to the impact of one of the latest Google update like Google Panda or Penguin?
Conversely, if there is no major change in site stats, webmasters cannot afford to be complacent and think that there have been no changes in the manner Google or other search engines now rank sites.
So what is the solution?
Mozcast.com is one solution that can really help webmasters tackle this problem. This site has been conceived and developed to help webmasters know about the various Google search updates and how it impacts the SERPS.
This site has been the brainchild of top SEO experts who are fully aware of the working of Google and therefore know the issues faced by webmasters. They have put in their expertise and years of experience in coming out with this site and are confident it would provide the required information to webmasters on a timely basis.
Essentially, they have relied on randomized collection of data as factors to determine the impact of Google SEO updates.
The collection of this data revolves around taking random keywords, local searches for those keywords, regional searches and hits at other data servers for those keywords to identify any possible impact on that site over time.
Taking the top 10 results of the keywords from the data collected, they have attempted to give the data a particular identity and have represented it like the temperature degree in terms of intensity and impact. A fixed multiplier factor of -28 has been used to compute and represent the final figure.
Analyzing the data of a site over a period of 30 days or even a week would throw up that figure. If it is 70, then the interpretation is that there has been no update, whereas if that figure is on the lower or higher side, then it means there has been an impact due to some Google search update.