During the last 5 years of doing SEO for eCommerce websites, I noticed that most store owners have a hard time with optimization for multiple languages. In this article I’ll try to explain some common misconceptions and tell you how to avoid 7 most common mistakes!

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This article discusses the problem of diminishing keyword data and suggests innovative ways of using the available data in the future.

Key items:

1. The value of long-tail keywords
2. Encrypted search gaining momentum
3. Decreasing amount of available keyword data
4. Google’s tools process keywords to protect user privacy
5. Working with available data to make actionable plans

The Value of Long-Tail Traffic

Numerous studies performed around long-tail traffic highlight volume, conversion rate and ranking potential as two of the most significant benefits of this keyword segment.

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One of the commonly circulated SEO theories is that links from pages with many outgoing links are not worth much. Dejan Labs team put this theory to a test in hope to find out what really happens.

The Experiment Setup

Number of domains involved: 3 (2 test domains referred to as “A” and “B” and a buffer domain used to bridge PageRank)
Test domain characteristics: Very similar domain format with slight variation.

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I’m pleased to announce that we’ve commenced another search experiment. We’re investigating the impact of link rejuvenation on page’s performance in search. More specifically, we’ll be changing the format of existing links to create new ones.

Background

When Google re-crawls a page and runs into a link which is slightly changed from the last crawl it will treat it as a new link*.

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Last week I presented a method for search result hijacking. The story got much coverage in the SEO community, perhaps due to the fact that Rand Fishkin’s authority pages were also compromised as part of our experiment. One thing I did not elaborate on in the original article was the peculiar way Google Webmaster Tools handle document canonicalisation.

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Search result hijacking is a surprisingly straightforward process. This post will go over theory, test cases done by Dejan SEO team and offer ways for webmasters to defend against search result theft.

I wish to thank Jim Munro, Rob Maas and Rand Fishkin for allowing me to run my experiment on their pages.

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Your ranking data could be skewed since the introduction of authorship suggestions. In this article we investigate how this could happen.

Major SEO portals have recently covered the “hidden benefit of authorship” where users who return back to results after reading your article are presented with additional three articles written by you.

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I want to begin this post with its high-sounding title by bucking the trend regarding what the worldwide SEO community says and regarding what I generally claim. In a certain sense I am going against what I myself believe, but that is precisely the point: “What we believe in and our general convictions cannot be applied to SEO or to data analysis”.

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The human thirst for knowledge is an unquenchable one. A desire that is limited by the constraints of time, with volumes and volumes of data to consume, and only one lifetime to absorb it all. An index in at the back of a book, the Dewey Decimal System and the mighty Google: all created to satisfy the need to divide the infinite mound of information, to locate the proverbial needle in the haystack.

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By factoring in bounce rate data in calculation of PageRank values, Fabien Mathieu and Mohamed Bouklit create a new and enhanced ranking algorithm.

In their research paper titled “The Effect of the Back Button in a Random Walk: Application for PageRank”, Mathieu and Bouklit (LIRMM) propose an enhancement to Google’s original algorithm.

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