“I have had the good fortune to work with SEO expert Nick Stamoulis and his team at Brick Marketing and it was clear form the get go that Nick had superior knowledge of marketing on the internet. The SEO campaign and technical writing that Brick Marketing provides has been impressive, where in the past we struggled to find the high levels of competence in these two skill sets. Were only just beginning with Brick Marketing and look forward to growing with their expert guidance. Thank you Nick Stamoulis and the Brick Marketing team!”
One of the consequences of the PageRank algorithm and its further manipulation has been the situation when backlinks (as well as link-building) have been usually considered black-hat SEO. Thus, not only Google has been combating the consequences of its own child's tricks, but also mega-sites, like Wikipedia, The Next Web, Forbes, and many others who automatically nofollow all the outgoing links. It means fewer and fewer PageRank votes. What is then going to help search engines rank pages in terms of their safety and relevance?
We're a growth company looking for a highly experienced Pay Per Click manager to launch and optimize campaigns in Google Adwords, Bing Ads, and more with a focus on B2B. Looking for 5+ experience: - managing enterprise campaigns in Adwords and Bing - tracking and optimizing to goals - executing a/b tests in adwords and bing - reporting and optimizing campaigns We are a fast moving, well funded, profitable startup in search of someone who is highly experienced, and able to respond quickly to the campaign needs of our business.
For the examples, we are going to ignore that fact, mainly because other ‘Pagerank Explained’ type documents ignore it in the calculations, and it might be confusing when comparing documents. The calculator operates in two modes:- Simple and Real. In Simple mode, the calculations assume that all pages are in the Google index, whether or not any other pages link to them. In Real mode the calculations disregard unlinked-to pages. These examples show the results as calculated in Simple mode. pagerank, page rank
Mega-sites, like http://news.bbc.co.uk have tens or hundreds of editors writing new content – i.e. new pages - all day long! Each one of those pages has rich, worthwile content of its own and a link back to its parent or the home page! That’s why the Home page Toolbar PR of these sites is 9/10 and the rest of us just get pushed lower and lower by comparison…
PageRank relies on the uniquely democratic nature of the web by using its vast link structure as an indicator of an individual page’s value. In essence, Google interprets a link from page A to page B as a vote, by page A, for page B. But, Google looks at considerably more than the sheer volume of votes, or links a page receives; for example, it also analyzes the page that casts the vote. Votes cast by pages that are themselves “important” weigh more heavily and help to make other pages “important.” Using these and other factors, Google provides its views on pages’ relative importance.

The amount of link juice passed depends on two things: the number of PageRank points of the webpage housing the link, and the total number of links on the webpage that are passing PageRank. It’s worth noting here that while Google will give every website a public-facing PageRank score that is between 1 and 10, the “points” each page accumulates from the link juice passed by high-value inbound links can — and do — significantly surpass ten. For instance, webpages on the most powerful and significant websites can pass link juice points in the hundreds or thousands. To keep the rating system concise, Google uses a lot of math to correlate very large (and very small) PageRank values with a neat and clean 0 to 10 rating scale.


PageRank gets its name from Google cofounder Larry Page. You can read the original ranking system to calculate PageRank here, if you want. Check out the original paper about how Google worked here, while you’re at it. But for dissecting how Google works today, these documents from 1998 and 2000 won’t help you much. Still, they’ve been pored over, analyzed and unfortunately sometimes spouted as the gospel of how Google operates now.
Wikipedia, naturally, has an entry about PageRank with more resources you might be interested in. It also covers how some sites using redirection can fake a higher PageRank score than they really have. And since we’re getting all technical — PageRank really isn’t an actual 0 to 10 scale, not behind the scenes. Internal scores are greatly simplified to match up to that system used for visible reporting.
To understand the importance of digital marketing to the future of marketing in any business, it’s helpful to think about what audience interactions we need to understand and manage. Digital marketing today is about many more types of audience interaction than website or email... It involves managing and harnessing these ‘5Ds of Digital’ that I have defined in the introduction to the latest update to my Digital Marketing: Strategy, Planning and Implementation book. The 5Ds define the opportunities for consumers to interact with brands and for businesses to reach and learn from their audiences in different ways:
Meanwhile, the link spam began. People chasing higher PageRank scores began dropping links wherever they could, including into blog posts and forums. Eventually, it became such an issue that demands were raised that Google itself should do something about it. Google did in 2005, getting behind the nofollow tag, a way to prevent links from passing along PageRank credit.
Webmasters and content providers began optimizing websites for search engines in the mid-1990s, as the first search engines were cataloging the early Web. Initially, all webmasters needed only to submit the address of a page, or URL, to the various engines which would send a "spider" to "crawl" that page, extract links to other pages from it, and return information found on the page to be indexed.[5] The process involves a search engine spider downloading a page and storing it on the search engine's own server. A second program, known as an indexer, extracts information about the page, such as the words it contains, where they are located, and any weight for specific words, as well as all links the page contains. All of this information is then placed into a scheduler for crawling at a later date.
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