Did the Google Panda and Penguin Squash Article Marketing?

Article marketing has been the cornerstone of Internet Marketer’s SEO campaigns for many years providing high quality backlinks to their intended “money sites” converting to high rankings in the search engines. However, the web has seen a major influx of “Questionable SEO techniques” that use advanced software programs to automatically generate backlinks. Often this content is plagiarized and spammed to thousands of article directories at the push of a button.

Google regularly instills 2 distinct Buy Google Reviews updates – the Google Panda update and the Google Penguin update aimed at improving the quality of it’s search engine results. To understand their effect on article marketing, we first need to understand how they individually affect search engine rankings.

The first Google Panda update was introduced on February 24th, 2011. In a nutshell, it looks at SEO factors that are based on the pages of your website. It aims to target what Google deems “thin sites” – sites with little or no value to visitors. These sites are often content farms, keyword stuffed and illegible. The big deal about the Google Panda update is that it is a site wide penalty. Meaning that if a number of pages on your website are deemed “thin”, your entire site is penalized.

The Google Panda update effects article marketing indirectly. If your pages are keyword stuffed, Google is not going to rank you so high, regardless of how many backlinks you have coming in. From personal experience, I seem to get better results with articles and posts that have around 2% keyword density as opposed to 3% or higher. I also notice articles where I have my keywords dominating most of the H2 and H3 tags are also ranked lower – even if the repetition is justified.

The other main Google Panda Update affects duplicate content. This is where someone takes your work and links it back to their site as their own. Of course many Internet Marketers spin the original content into 100′s of different versions to attempt to fool the search engines, an issue I’m not sure can ever be overcome by a computer algorithm.

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