User Behavior factors
- Time spent on a given page (document) concerning a particular query over a specific period of time. That means that if page A ranks 1st for a certain search query (e.g. “best widgets in the world”), then the search engine can take into account the time on average users spent on that particular page over time. So, let’s assume, that in February of 2013 page A ranks 1st for a certain search query and users spend on average 30 seconds on page. If after 6 months the average time spent on the same page is cut back to 10 seconds search engines can logically suspect that the page’s content has become less relevant over time in relation to this query and so they begin to “downgrade” – gradually drop page A’s rank position.
- CTR per search result in relation to result’s position. That means that all things equal, if one of your website pages ranks 3rd for a given search query with an average 3% CTR, you can increase the possibility to improve ranking position by just improving your website’s page SERPs CTR. In order to achieve that you must optimize your page’s title tag and meta-description. Click here to retrieve more information concerning the optimization. Moreover, implementing rich snippets allows you to increase the CTR (you can find more information here).
- Social signals generated through social networks such as Facebook, Twitter, Google+ & Linkedin are proven to positively affect website rankings and SEO efforts. For further analysis click hereand here.
Fresh factor & Rankings
- Harness your web analytics platform (e.g. Google analytics) data and use a Keyword research tool to figure out high-value, long-tail keyword phrases that you can target.
- Evaluate the difficulty to rank high for your chosen long-tail phrases with a powerful keyword difficulty analyzer tool.
- Develop your blog posts and your content marketing material by targeting such long-tail keyword phrases for which you can easily rank at the top of SERPs.
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