Website owners recognized the value of a high ranking and visibility in search engine results, creating an opportunity for both white hat and black hat SEO practitioners. According to industry analyst Danny Sullivan, the phrase "search engine optimization" probably came into use in 1997. Sullivan credits Bruce Clay as one of the first people to popularize the term. On May 2, 2007, Jason Gambert attempted to trademark the term SEO by convincing the Trademark Office in Arizona that SEO is a "process" involving manipulation of keywords and not a "marketing service."
Some businesses have in-house development teams, but are in need of professional search engine optimization consulting to supplement their existing activities. SEO Inc offers SEO consulting services. These consulting services are the same highly targeted strategies, wrapped up in a box for your development team, with easy to follow instructions on implementation. For our more advanced SEO techniques, we can always jump in to help guide your implementation and on-page optimization. We strive to grow other business' and watch white hat, proven SEO, work its' wonders. Contact us for more information to use us as a SEO consultant.
As mobile devices become an increasingly integral part of our lives, it’s vital that marketers understand how to effectively communicate on this unique and extremely personal channel. Mobile devices are kept in our pockets, sit next to our beds, and are checked constantly throughout the day. This makes marketing on mobile incredibly important but also very nuanced.
Ad extensions are additional links and details that show supplementary information about your business to enhance the basic PPC ads. Certain ad extensions are manual choices, which you can control. Search engines may also automatically generate some ad extensions. The main advantage of ad extensions is that they help improve the click-thru-rate (CTR) of the ad headline because the ads are larger in size and therefore more prominent on the search engine results pages (SERPs). There are many ad extensions.
Display Network – This network consists of millions of sites that agree to show Google text, image, and video ads. These ads are shown within the site’s content and don’t utilize traditional keyword based targeting, but rather audiences and demographics. For example, a user may visit a blog that speaks to the history of coffee tables. Even though the user isn’t necessarily in a buying mode, the content is relevant to coffee tables. The user may or may not click the ad, but is ultimately now aware of the brand.
Larry Page and Sergey Brin developed PageRank at Stanford University in 1996 as part of a research project about a new kind of search engine. Sergey Brin had the idea that information on the web could be ordered in a hierarchy by "link popularity": a page ranks higher as there are more links to it. Rajeev Motwani and Terry Winograd co-authored with Page and Brin the first paper about the project, describing PageRank and the initial prototype of the Google search engine, published in 1998: shortly after, Page and Brin founded Google Inc., the company behind the Google search engine. While just one of many factors that determine the ranking of Google search results, PageRank continues to provide the basis for all of Google's web-search tools.
Because of the recent debate about the use of the term ‘digital marketing’, we thought it would be useful to pin down exactly what digital means through a definition. Do definitions matter? We think they do, since particularly within an organization or between a business and its clients we need clarity to support the goals and activities that support Digital Transformation. As we'll see, many of the other definitions are misleading.
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A PageRank results from a mathematical algorithm based on the webgraph, created by all World Wide Web pages as nodes and hyperlinks as edges, taking into consideration authority hubs such as cnn.com or usa.gov. The rank value indicates an importance of a particular page. A hyperlink to a page counts as a vote of support. The PageRank of a page is defined recursively and depends on the number and PageRank metric of all pages that link to it ("incoming links"). A page that is linked to by many pages with high PageRank receives a high rank itself.
More specifically, who gets to appear on the page is based on and advertiser’s Ad Rank, a metric calculated by multiplying two key factors – CPC Bid (the highest amount an advertiser is willing to spend) and Quality Score (a value that takes into account your click-through rate, relevance, and landing page quality). This system allows winning advertisers to reach potential customers at a cost that fits their budget. It’s essentially a kind of auction. The below infographic illustrates how this auction system works.
Most people who used the Google Toolbar probably never went through the effort of enabling the PageRank meter, which Google offered as an incentive to web surfers, a way for them to understand the quality of pages encountered when browsing (and a way for Google to understand what people were viewing beyond Google itself). But one group was very inclined to make the effort: SEOs.
Notice that the description of the game is suspiciously similar to copy written by a marketing department. “Mario’s off on his biggest adventure ever, and this time he has brought a friend.” That is not the language that searchers write queries in, and it is not the type of message that is likely to answer a searcher's query. Compare this to the first sentence of the Wikipedia example: “Super Mario World is a platform game developed and published by Nintendo as a pack–in launch title for the Super Nintendo Entertainment System.”. In the poorly optimized example, all that is established by the first sentence is that someone or something called Mario is on an adventure that is bigger than his or her previous adventure (how do you quantify that?) and he or she is accompanied by an unnamed friend.
The Google algorithm's most important feature is arguably the PageRank system, a patented automated process that determines where each search result appears on Google's search engine return page. Most users tend to concentrate on the first few search results, so getting a spot at the top of the list usually means more user traffic. So how does Google determine search results standings? Many people have taken a stab at figuring out the exact formula, but Google keeps the official algorithm a secret. What we do know is this:
There is one thing wrong with this model. The new pages are orphans. They wouldn’t get into Google’s index, so they wouldn’t add any PageRank to the site and they wouldn’t pass any PageRank to page A. They each need to be linked to from at least one other page. If page A is the important page, the best page to put the links on is, surprisingly, page A [view]. You can play around with the links but, from page A’s point of view, there isn’t a better place for them.
Google wasn’t happy with the Pandora’s Box it had opened. It began to fight back, with its most famous action against a network known as SearchKing, penalizing the site and some of those in the network with PageRank score reductions or actual removal from Google. SearchKing sued Google. Google won, a judge ruling that its search results were entitled to First Amendment protection as opinions.
The problem is overcome by repeating the calculations many times. Each time produces slightly more accurate values. In fact, total accuracy can never be achieved because the calculations are always based on inaccurate values. 40 to 50 iterations are sufficient to reach a point where any further iterations wouldn’t produce enough of a change to the values to matter. This is precisiely what Google does at each update, and it’s the reason why the updates take so long.
At the moment, none of the pages link to any other pages and none link to them. If you make the calculation once for each page, you’ll find that each of them ends up with a PageRank of 0.15. No matter how many iterations you run, each page’s PageRank remains at 0.15. The total PageRank in the site = 0.45, whereas it could be 3. The site is seriously wasting most of its potential PageRank.
Use Local Searches to Your Advantage. By default, Google Adwords will set your campaign live nationally. If you are a local merchant, if you ship to a specific area, or provide service (only) to a specific geographic location, it is a best practice to customize your Location Targeting in Google Adwords. Get to Know Your Account Language. Google Adwords provides options specific to language targeting, ad scheduling, devices. As a best practice, always click into the Settings of each campaign to verify your campaign is set up properly.
A generalization of PageRank for the case of ranking two interacting groups of objects was described in  In applications it may be necessary to model systems having objects of two kinds where a weighted relation is defined on object pairs. This leads to considering bipartite graphs. For such graphs two related positive or nonnegative irreducible matrices corresponding to vertex partition sets can be defined. One can compute rankings of objects in both groups as eigenvectors corresponding to the maximal positive eigenvalues of these matrices. Normed eigenvectors exist and are unique by the Perron or Perron-Frobenius theorem. Example: consumers and products. the relation weight is the product consumption rate.
Whether or not the overall range is divided into 10 equal parts is a matter for debate – Google aren’t saying. But because it is much harder to move up a toolbar point at the higher end than it is at the lower end, many people (including me) believe that the divisions are based on a logarithmic scale, or something very similar, rather than the equal divisions of a linear scale.
Say you're running a PPC ad for the keyword "Nikon D90 digital camera" -- a product you sell on your website. You set up the ad to run whenever this keyword is searched for on your chosen engine, and you use a URL that redirects readers who click on your ad to your site's home page. Now, this user must painstakingly click through your website's navigation to find this exact camera model -- if he or she even bothers to stick around.
3. Have a discerning eye: learn from every landing page you visit. This applies to your casual surfing, online shopping, research and competitive analysis. After you’ve clicked on a paid ad, take a few extra seconds to observe the landing page and try to pick it apart. What works well on the landing page? What doesn’t? Take these observations and try to apply it to your site. It just might give you an edge over your competitors!
Just like the world’s markets, information is affected by supply and demand. The best content is that which does the best job of supplying the largest demand. It might take the form of an XKCD comic that is supplying nerd jokes to a large group of technologists or it might be a Wikipedia article that explains to the world the definition of Web 2.0. It can be a video, an image, a sound, or text, but it must supply a demand in order to be considered good content.
In the past, the PageRank shown in the Toolbar was easily manipulated. Redirection from one page to another, either via a HTTP 302 response or a "Refresh" meta tag, caused the source page to acquire the PageRank of the destination page. Hence, a new page with PR 0 and no incoming links could have acquired PR 10 by redirecting to the Google home page. This spoofing technique was a known vulnerability. Spoofing can generally be detected by performing a Google search for a source URL; if the URL of an entirely different site is displayed in the results, the latter URL may represent the destination of a redirection.
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.