Google panda analysis

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Google Panda Analysis
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The Google Panda algorithm was out in
February 2011. Its main purpose is to boost the
user search experience by encouraging websites
with first-class content and undervaluing those
sites with insignificant content. The Panda
algorithm was named after Navneet Panda, a Google
engineer who played a key role in its initial
development. Panda is meant to improve Googles
ability to do this by increasing the visibility
of high quality sites in search. Here we point
out some analysis of Google Panda.
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Trust
The users must be capable of trusting the
information on the site, but they should also
believe that your site is safe enough to fill in
personal information.
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Bounce Rate
The bounce rate specify how many users go
away from the site right away without viewing
more than one page.
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Engagement
The more time a user spends on a website,
the better for Panda.
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Web Design
A spotless and easy to use web design can
enhance the user experience considerably.
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Advertising
Too many ads can displease the users. These
will be a distraction from the site's main
content.
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Outbound links
Outbound links can have an effect on the
reliability of a site, depending where they lead
to and how many there are.
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Domain name
Even the domain name can be a factor in
gaining the user's trust. Choose a proper domain
name.
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