Understanding Mobiles: Understanding mobile devices is a significant aspect of digital marketing because smartphones and tablets are now responsible for 64% of the time US consumers are online (Whiteside, 2016).[42] Apps provide a big opportunity as well as challenge for the marketers because firstly the app needs to be downloaded and secondly the person needs to actually use it. This may be difficult as ‘half the time spent on smartphone apps occurs on the individuals single most used app, and almost 85% of their time on the top four rated apps’ (Whiteside, 2016).[42] Mobile advertising can assist in achieving a variety of commercial objectives and it is effective due to taking over the entire screen, and voice or status is likely to be considered highly; although the message must not be seen or thought of as intrusive (Whiteside, 2016).[42] Disadvantages of digital media used on mobile devices also include limited creative capabilities, and reach. Although there are many positive aspects including the users entitlement to select product information, digital media creating a flexible message platform and there is potential for direct selling (Belch & Belch, 2012).[44]

Google’s SERPs can show various elements: the search results themselves (so-called snippets), a knowledge graph, a featured snippet, an answer box, images, shopping results and more. Depending on the type of query and the data Google finds, some of these elements will show up. You can add data to your page, so Google can show a ‘rich’ snippet, providing more information about your product or recipe, for instance.

Advanced Data Structure Amazon Aptitude Aptitude Arrays Bit Magic C C C++ Computer Networks CPP-Functions C Quiz Dynamic Programming GBlog Geometric Graph Hash Internship Interview Experiences ISRO Java Java-Collections Java-Functions Java-lang package Java - util package JavaScript Linked List Mathematical Matrix Microsoft PHP PHP-function Python QA - Placement Quizzes QA - Placement Quizzes School Programming Searching series Sorting STL Strings Technical Scripter Tree UGC-NET Web Technologies
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.[11] 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.[12] 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:[5] 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.[13]
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]

(1 - d) - The (1 – d) bit at the beginning is a bit of probability math magic so the “sum of all web pages' PageRanks will be one”: it adds in the bit lost by the d(.... It also means that if a page has no links to it (no backlinks) even then it will still get a small PR of 0.15 (i.e. 1 – 0.85). (Aside: the Google paper says “the sum of all pages” but they mean the “the normalised sum” – otherwise known as “the average” to you and me.
When it comes to organic search strategies (SEO), search has evolved beyond just keywords. Local businesses need to realize that search ranking reports that focus on keyword rankings aren’t properly measured by today’s search standards. It’s logical to think that a first-page ranking for important keywords would translate into traffic to your website, but it’s not exactly correct. Semantic search is the new name of the game with search engines.
Google's founders, in their original paper,[17] reported that the PageRank algorithm for a network consisting of 322 million links (in-edges and out-edges) converges to within a tolerable limit in 52 iterations. The convergence in a network of half the above size took approximately 45 iterations. Through this data, they concluded the algorithm can be scaled very well and that the scaling factor for extremely large networks would be roughly linear in {\displaystyle \log n} , where n is the size of the network.
In an effort to make the user search experience easier and more direct, Google created SERP features, on-page content that gives users answers to their queries without requiring them to click into an organic result. Although on-page SERP features are optimal for the user, they can make it harder for marketers to get noticed in organic search results, even when they're ranking #1.

Google and Bing provide basic conversion tracking within their ad platforms, but not for revenue. Take a look at Google Analytics for a free tracking system that will let you measure conversions from all PPC sources and let you track traffic, revenue, and conversions. If you’re a leads based business, you may also want to consider a scalable CRM or customer relationship management system like HubSpot, which allows you to specify when and if a lead became a customer, so that you can clearly identify which ads are turning into real revenue.
Remarketing: A platform like Google AdWords often allows you the ability to create audiences of users who have already visited your website. You can create and target these audiences with tailored ads, including image and video ads. If you want to get users who have visited but haven’t bought from you to come back and make a purchase, remarketing can be a cost-effective tactic to increase bottom line. If you’re not running remarketing as part of your digital marketing and PPC, chances are you’re leaving money on the table.

“PageRank is not a measure of popularity of the sites. If you were to look at sites that were popular, well, for example porn sites are very popular. But people tend not to link to porn sites. On the other hand, if you take something like the Wisconsin Real Estate Board, probably not a ton of people go there, but quite a few people do link to government websites.
In December 2009, Google announced it would be using the web search history of all its users in order to populate search results.[32] On June 8, 2010 a new web indexing system called Google Caffeine was announced. Designed to allow users to find news results, forum posts and other content much sooner after publishing than before, Google caffeine was a change to the way Google updated its index in order to make things show up quicker on Google than before. According to Carrie Grimes, the software engineer who announced Caffeine for Google, "Caffeine provides 50 percent fresher results for web searches than our last index..."[33] Google Instant, real-time-search, was introduced in late 2010 in an attempt to make search results more timely and relevant. Historically site administrators have spent months or even years optimizing a website to increase search rankings. With the growth in popularity of social media sites and blogs the leading engines made changes to their algorithms to allow fresh content to rank quickly within the search results.[34]
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