The PageRank algorithm outputs a probability distribution used to represent the likelihood that a person randomly clicking on links will arrive at any particular page. PageRank can be calculated for collections of documents of any size. It is assumed in several research papers that the distribution is evenly divided among all documents in the collection at the beginning of the computational process. The PageRank computations require several passes, called “iterations”, through the collection to adjust approximate PageRank values to more closely reflect the theoretical true value. Cartoon illustrating the basic principle of PageRank. The size of each face is proportional to the total size of the other faces which are pointing to it.[/caption]
And now it’s 2016. A time where an effective local business search campaign needs to include all of these tactics, not just one. Half-baked efforts won't work anymore. A deep dive into each individual marketing tactic will show you that what was enough to maintain a decent search presence in the past won't produce the same outcome and potential ROI today. Local business owners need to employ these tactics correctly from the beginning and invest the time and money to build their brand online in an effort to achieve what I call “The Ideal SERP.”
Digital marketing poses special challenges for its purveyors. Digital channels are proliferating rapidly, and digital marketers have to keep up with how these channels work, how they're used by receivers and how to use these channels to effectively market things. In addition, it's becoming more difficult to capture receivers' attention, because receivers are increasingly inundated with competing ads. Digital marketers also find it challenging to analyze the vast troves of data they capture and then exploit this information in new marketing efforts.
Depending on the number of Web pages that contain a particular word or phrase, a SERP might show anywhere from zero (in the case of no matches at all) to millions of items. For example, entering the phrase "complex-number admittance" into the Google search engine yields few results. In contrast, entering the single word "hurricane" yields millions of results.

Who is targeted by this Campaign? Always remind yourself “who” you are aiming to reach through paid search. When choosing keywords and creating ad text, select terms your audience would search for and create ad text that speaks to their needs. Always be sure the content on your landing page logically aligns with these keywords/ad text to ensure a quality user experience and maximize your ROI. Put yourself in the visitor’s shoes. Would the Keywords and ad text catch your attention or give you helpful information?
A key objective is engaging digital marketing customers and allowing them to interact with the brand through servicing and delivery of digital media. Information is easy to access at a fast rate through the use of digital communications. Users with access to the Internet can use many digital mediums, such as Facebook, YouTube, Forums, and Email etc. Through Digital communications it creates a Multi-communication channel where information can be quickly exchanged around the world by anyone without any regard to whom they are.[28] Social segregation plays no part through social mediums due to lack of face to face communication and information being wide spread instead to a selective audience. This interactive nature allows consumers create conversation in which the targeted audience is able to ask questions about the brand and get familiar with it which traditional forms of Marketing may not offer.[29]

Search engines are smart, but they still need help. The major engines are always working to improve their technology to crawl the web more deeply and return better results to users. However, there is a limit to how search engines can operate. Whereas the right SEO can net you thousands of visitors and increased attention, the wrong moves can hide or bury your site deep in the search results where visibility is minimal.
Keep resources crawlable. Blocking page resources can give Google an incomplete picture of your website. This often happens when your robots.txt file is blocking access to some or all of your page resources. If Googlebot doesn't have access to a page's resources, such as CSS, JavaScript, or images, we may not detect that it's built to display and work well on a mobile browser. In other words, we may not detect that the page is "mobile-friendly," and therefore not properly serve it to mobile searchers.
3. General on-site optimization. On-site optimization is a collection of tactics, most of which are simple to implement, geared toward making your website more visible and indexable to search engines. These tactics include things like optimizing your titles and meta descriptions to include some of your target keywords, ensuring your site’s code is clean and minimal, and providing ample, relevant content on every page. I’ve got a huge list of on-site SEO tactics you can check out here.
Positioning of a webpage on Google SERPs for a keyword depends on relevance and reputation, also known as authority and popularity. PageRank is Google’s indication of its assessment of the reputation of a webpage: It is non-keyword specific. Google uses a combination of webpage and website authority to determine the overall authority of a webpage competing for a keyword.[34] The PageRank of the HomePage of a website is the best indication Google offers for website authority.[35]
Just a related note in passing: On October 6, 2013 Matt Cutts (Google’s head of search spam) said Google PageRank Toolbar won’t see an update before 2014. He also published this helpful video that talks more in depth about how he (and Google) define PageRank, and how your site’s internal linking structure (IE: Your siloing structure) can directly affect PageRank transfer. Here’s a link to the video: http://youtu.be/M7glS_ehpGY.
SEO is also about making your search engine result relevant to the user's search query so more people click the result when it is shown in search. In this process, snippets of text and meta data are optimized to ensure your snippet of information is appealing in the context of the search query to obtain a high CTR (click through rate) from search results.

The PageRank algorithm outputs a probability distribution used to represent the likelihood that a person randomly clicking on links will arrive at any particular page. PageRank can be calculated for collections of documents of any size. It is assumed in several research papers that the distribution is evenly divided among all documents in the collection at the beginning of the computational process. The PageRank computations require several passes, called “iterations”, through the collection to adjust approximate PageRank values to more closely reflect the theoretical true value. Cartoon illustrating the basic principle of PageRank. The size of each face is proportional to the total size of the other faces which are pointing to it.[/caption]


The maximum PageRank in a site equals the number of pages in the site * 1. The maximum is increased by inbound links from other sites and decreased by outbound links to other sites. We are talking about the overall PageRank in the site and not the PageRank of any individual page. You don’t have to take my word for it. You can reach the same conclusion by using a pencil and paper and the equation.
Using an omni-channel strategy is becoming increasingly important for enterprises who must adapt to the changing expectations of consumers who want ever-more sophisticated offerings throughout the purchasing journey. Retailers are increasingly focusing on their online presence, including online shops that operate alongside existing store-based outlets. The "endless aisle" within the retail space can lead consumers to purchase products online that fit their needs while retailers do not have to carry the inventory within the physical location of the store. Solely Internet-based retailers are also entering the market; some are establishing corresponding store-based outlets to provide personal services, professional help, and tangible experiences with their products.[24]
SEO.com will work with you now and throughout the future to provide all the online marketing services you may need to keep growing your business competitively. Since we offer a complete, compatible array of web related services you won’t need to hire, herd, or manage random outside or foreign firms, and take the risk mixing them in with your projects.
In 1998, two graduate students at Stanford University, Larry Page and Sergey Brin, developed "Backrub", a search engine that relied on a mathematical algorithm to rate the prominence of web pages. The number calculated by the algorithm, PageRank, is a function of the quantity and strength of inbound links.[21] PageRank estimates the likelihood that a given page will be reached by a web user who randomly surfs the web, and follows links from one page to another. In effect, this means that some links are stronger than others, as a higher PageRank page is more likely to be reached by the random web surfer.
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