Friday 18 January 2013
Over the pages of this document, you'll see segmentation of the search ranking algorithm into various components like "page-specific, link-level features," or "domain-level, keyword-agnostic features." These segments represent the different elements illustrated on the pie chart to the right. In each segment, you'll see three types of charts.
The first, excerpted above, shows the opinions of SEOs on factors in a given segment, ranked in order from those the panel believes (on average) to be most important to least.
The second, also excerpted above, shows SEOmoz's analysis of 10,271 keyword search results from Google.com (US). The numbers shown are mean Spearman's correlation with higher rankings, meaning that a higher number indicates that websites + pages with the given feature (or more of the given feature, as in cases like "# of links") tended to rank higher on average than those without. Remember - correlation is not causation! Just because pages/sites with a given feature tend to rank higher doesn't necessarily mean that this particular feature is the cause of that higher ranking.
The last chart, Future of Search, is illustrated fully below and uses aggregated opinions to show the mean answers to specific questions about SEO tactics or predictions.
We hope that by opening access to this analysis (including the raw data here) to provide greater access to information about how search engines may rank documents and empower marketers to have both statistical and opinion-based data to help validate their own efforts. If you have feedback or suggestions, please leave them as comments at this blog post.
Thanks much!
Rand Fishkin, CEO, SEOmoz
Future of Search
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