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Created February 11, 2015 00:27
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MozRank represents a link popularity score. It reflects the importance of any given web page on the Internet. Pages earn MozRank by the number and quality of other pages that link to them. The higher the quality of the incoming links, the higher the MozRank.
How is MozRank scored?
We calculate this score on a logarithmic scale between 0 and 10. Thus, it's much easier to improve from a MozRank of 3 to 4 than it is to improve from 8 to 9. An "average" MozRank of what most people think of as a normal page on the Internet is around 3.
How can MozRank be improved?
A web page's MozRank can be improved by getting lots of links from semi-popular pages or a few links from very popular pages.
Where can you find MozRank?
Open Site Explorer
Open Site Explorer compares any site's backlinks, top pages, and other metrics using the Mozscape web index. Use it to find link opportunities, research anchor text, discover popular content, perform competitive research, and more.
MozBar
Moz's SEO toolbars provides easy access to powerful SEO tools and data while you browse the web. Quickly diagnose SEO problems and discover opportunities without opening a new page or interrupting your workflow.
SEO Best Practice
Technical Definition of MozRank (mR)
MozRank refers to Moz’s general, logarithmically scaled 10-point measure of global link authority (popularity). MozRank is very similar in purpose to the measures of static importance (which means importance independent of a specific query) that are used by the search engines (e.g., Google's PageRank). Search engines often rank pages with higher global link authority ahead of pages with lower authority. Because measures like MozRank are global and static, this ranking power applies to a broad range of search queries, rather than pages optimized specifically for a particular keyword.
The intuition behind MozRank is to leverage the democratic nature of the web. Every page has a vote and they can cast that vote by linking out to other web pages. Each time they link out all of the other links (votes) on the same page are slightly diluted. Thus, pages which link to many other pages aren’t able to overwhelm the votes from pages that only link to a few other pages. Otherwise, if one page contained 1000 links, it would unfairly have more votes than a page with only 10 links.
The takeaway is that a given web page has only a quantifiable amount of link juice (ranking power) to spread via links (votes). Pages that receive a lot of links (votes) are considered more authoritative and are able to more authoritatively endorse pages they link to.
External MozRank
Whereas MozRank measures the link juice (ranking power) of both internal and external links, external MozRank measures only the amount of MozRank flowing through external links (links located on a separate domain). Because external links can play an important role as independent endorsements, external MozRank is an important metric for predicting search engine rankings.
Domain-Level MozRank (DmR)
Domain-level MozRank (DmR) quantifies the popularity of a given domain compared to all other domains on the web. DmR is computed for both subdomains and root domains. This metric uses the same algorithm as MozRank, but applies it to the "domain–level link graph"–a view of the web that only looks at domains as a whole, ignoring individual pages. Viewing the web from this perspective offers additional insight about the general authority of a domain. Just as pages can endorse other pages, a link which crosses domain boundaries (e.g., from some page on searchengineland.com to a page on moz.com) can be seen as endorsement by one domain for another.
MozRank Passed
MozRank passed is the measurement of the amount of link juice (ranking power) a given link passes. Whereas, MozRank is the measurement of the link value of a individual web page, MozRank passed is the measurement of the value of an individual link.
This is similar to dividing the amount of MozRank on a given page by the total amount of links on the same page—although MozRank passed takes into account some subtleties (duplicate links, link dampening, etc.) in order to increase accuracy.
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