Quantitative factors are based on the unweighted number of backlinks to a site. The original PageRank algorithm is the best example for this kind of factors. There are three key metrics in this area:

• Link Popularity
• Domain Popularity
• IP Popularity

Using these figures to one for an entire domain , on the other, but also for individual sub-pages of a domain . Figures for entire domain resulting from the sum of the individual values ​​of the indicators all pages including the home page. In the following explanations is to simplify each of the term "web" is used.

Link Popularity

The term link popularity refers to the number of all the backlinks that point to a website. True to the motto: "Many links mean a high reputation" applies here: "The larger this number is, the better it is for the ranking of a website."

However, this figure is not considered particularly meaningful as a so-called site-wide links is now nothing unusual. A concrete example is the so-called blog Rolles. Here, a blogger linked, for example, a friend or other topics relevant blog of the navigation of his own blogs. This is the link to appear every bottom of his blog . Each of these links flows in link popularity with a. The origin of thought, a link is a special recommendation for further information diminishing role , because obviously the set in the blogroll link is not specific to the contents of a base.

Domain Popularity

The domain popularity is a measure that indicates the number of domains linked to a website. It does not matter how many times this site was linked from the pages of a domain. In order to defuse the problem of linking each base significantly. Also for the domain popularity is: the higher the ratio the more positive the impact on the ranking.

IP Popularity

Verschärftere a form of domain popularity is the IP Popularity dar. This measure all IP addresses are counted, from which links are placed on a website. This number was due to the fact that most web hosts a certain, limited IP range have available and make these available for different domains. It is possible that different domains are hosted on the same IP address.

Could be to increase the popularity of a website domain you now get the idea, simply register a number of different domains at a hoster and from these to the target site to link to. This would obviously manipulating the search engine algorithms take place because the set would link primary goal is to improve the ranking of the target website and thus does not actually possess value in terms of reputation increase.

The IP popularity there are in various forms. The version presented above is the least restrictive, since it merely requires that the IP addresses differ in any bit . In other variants, for example, a complete class C network (the first three octets of an IPv4 address) is chosen as the basis. However, in each variant also applies here, the principle that a high IP popularity has a positive impact on the ranking.

Conclusion

The quantitative factors of optimization Off Page give a rough overview of the link level or the popularity of a website on the Internet. The problem with these figures is the danger of manipulation. Although the manipulation attempts are hampered by restrictive perspectives, but by no means ineffective. There are, for example, already offers special hosting , domains which are hosted on different IPs of hundreds.

Another problem with these figures is that they unjustified discrimination may result. The simplest example of this are two different domains, the report on a common theme and are often mutually link - for example, because the other domain provides further information. In this case, that would be IP or domain popularity too restrictive , since it would be appropriate to evaluate each link, even if it comes from the same domain.

Because of these problems, one can assume that these metrics a first estimate of the Off Page optimization provide a website, but still not be the measure of all things.