Search results are presented in an ordered list, and the higher up on that list a site can get, the more traffic the site will tend to receive. For example, for a typical search query, the number one result will receive 40-60% of the total traffic for that query, with the number two and three results receiving significantly less traffic. Only 2-3% of users click beyond the first page of search results.
Paid Search, the lead and traffic generation medium has become a cornerstone for billion-dollar organizations and has remained virtually unchanged. Some may argue that “unchanged” isn’t necessarily the right description based on industry and tactic changes — such as the introduction of Quality Score, the Bing/Yahoo deal, Enhanced Campaigns, etc. — however, one thing that has not changed in paid search is what comprises its campaign: keywords, ad text and landing pages.
Some people believe that Google drops a page’s PageRank by a value of 1 for each sub-directory level below the root directory. E.g. if the value of pages in the root directory is generally around 4, then pages in the next directory level down will be generally around 3, and so on down the levels. Other people (including me) don’t accept that at all. Either way, because some spiders tend to avoid deep sub-directories, it is generally considered to be beneficial to keep directory structures shallow (directories one or two levels below the root).
The box on the right side of this SERP is known as the Knowledge Graph (also sometimes called the Knowledge Box). This is a feature that Google introduced in 2012 that pulls data to commonly asked questions from sources across the web to provide concise answers to questions in one central location on the SERP. In this case, you can see a wide range of information about Abraham Lincoln, such as the date and place of his birth, his height, the date on which he was assassinated, his political affiliation, and the names of his children – many of which facts have their own links to the relevant pages.
PageRank was developed by Google founders Larry Page and Sergey Brin at Stanford. In fact the name. PageRank is a likely play on Larry Page's name. At the time that Page and Brin met, early search engines typically linked to pages that had the highest keyword density, which meant people could game the system by repeating the same phrase over and over to attract higher search page results. Sometimes web designers would even put hidden text on pages to repeat phrases.
Your entire PPC campaign is built around keywords, and the most successful AdWords advertisers continuously grow and refine their PPC keyword list (ideally, using a variety of tools, not just Keyword Planner). If you only do keyword research once, when you create your first campaign, you are probably missing out on hundreds of thousands of valuable, long-tail, low-cost and highly relevant keywords that could be driving traffic to your site.
Those engaging with your company online via mobile devices need to have the same positive experience as they would on desktop. This means implementing a mobile-friendly or responsive website design to make browsing user-friendly for those on mobile devices. It might also mean reducing the length of your lead generation forms to create a hassle-free experience for people downloading your content on-the-go. As for your social media images, it's important to always have a mobile user in mind when creating them as image dimensions are smaller on mobile devices, meaning text can be cut-off.
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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. 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.