Assume a small universe of four web pages: A, B, C and D. Links from a page to itself are ignored. Multiple outbound links from one page to another page are treated as a single link. PageRank is initialized to the same value for all pages. In the original form of PageRank, the sum of PageRank over all pages was the total number of pages on the web at that time, so each page in this example would have an initial value of 1. However, later versions of PageRank, and the remainder of this section, assume a probability distribution between 0 and 1. Hence the initial value for each page in this example is 0.25.
In March 2006, KinderStart filed a lawsuit against Google over search engine rankings. KinderStart's website was removed from Google's index prior to the lawsuit and the amount of traffic to the site dropped by 70%. On March 16, 2007 the United States District Court for the Northern District of California (San Jose Division) dismissed KinderStart's complaint without leave to amend, and partially granted Google's motion for Rule 11 sanctions against KinderStart's attorney, requiring him to pay part of Google's legal expenses.
Facebook Ads and Instagram Ads take relevance and ad engagement into consideration. Ads that perform well are given a higher relevance score and are given more impressions at a cheaper price than ads with low relevance. Similarly, AdWords assigns ads a quality score based on factors like keyword relevance and landing page quality that can affect how much you pay for each click.
Nearly all PPC engines allow you to split-test, but ensure that your ad variations will be displayed at random so they generate meaningful data. Some PPC platforms use predictive algorithms to display the ad variation that's most likely to be successful, but this diminishes the integrity of your split-test data. You can find instructions on how to ensure that your ad versions are displayed randomly in your PPC engine's help section.
It doesn’t matter how incredible your business is, how optimized your site is or how much your customers love you—if you aren’t a mega corporation like Nike or Office Max or Macey’s, you’re probably going to struggle to show up at the top of the search engine results page. This is especially true if you’re trying to rank for highly competitive searches where customers are looking for specific products.
When PageRank leaks from a site via a link to another site, all the pages in the internal link structure are affected. (This doesn’t always show after just 1 iteration). The page that you link out from makes a difference to which pages suffer the most loss. Without a program to perform the calculations on specific link structures, it is difficult to decide on the right page to link out from, but the generalization is to link from the one with the lowest PageRank.
Digital marketing and its associated channels are important – but not to the exclusion of all else. It’s not enough to just know your customers; you must know them better than anybody else so you can communicate with them where, when and how they are most receptive to your message. To do that, you need a consolidated view of customer preferences and expectations across all channels – Web, social media, mobile, direct mail, point of sale, etc. Marketers can use this information to create and anticipate consistent, coordinated customer experiences that will move customers along in the buying cycle. The deeper your insight into customer behavior and preferences, the more likely you are to engage them in lucrative interactions.
Companies that employ overly aggressive techniques can get their client websites banned from the search results. In 2005, the Wall Street Journal reported on a company, Traffic Power, which allegedly used high-risk techniques and failed to disclose those risks to its clients. Wired magazine reported that the same company sued blogger and SEO Aaron Wall for writing about the ban. Google's Matt Cutts later confirmed that Google did in fact ban Traffic Power and some of its clients.