Robots.txt is not an appropriate or effective way of blocking sensitive or confidential material. It only instructs well-behaved crawlers that the pages are not for them, but it does not prevent your server from delivering those pages to a browser that requests them. One reason is that search engines could still reference the URLs you block (showing just the URL, no title or snippet) if there happen to be links to those URLs somewhere on the Internet (like referrer logs). Also, non-compliant or rogue search engines that don't acknowledge the Robots Exclusion Standard could disobey the instructions of your robots.txt. Finally, a curious user could examine the directories or subdirectories in your robots.txt file and guess the URL of the content that you don't want seen.
Write a description that would both inform and interest users if they saw your description meta tag as a snippet in a search result. While there's no minimal or maximal length for the text in a description meta tag, we recommend making sure that it's long enough to be fully shown in Search (note that users may see different sized snippets depending on how and where they search), and contains all the relevant information users would need to determine whether the page will be useful and relevant to them.
If you are using Responsive Web Design, use meta name="viewport" tag to tell the browser how to adjust the content. If you use Dynamic Serving, use the Vary HTTP header to signal your changes depending on the user-agent. If you are using separate URLs, signal the relationship between two URLs by tag with rel="canonical" and rel="alternate" elements.
We expect advertisements to be visible. However, you should not let the advertisements distract users or prevent them from consuming the site content. For example, advertisements, supplement contents, or interstitial pages (pages displayed before or after the content you are expecting) that make it difficult to use the website. Learn more about this topic.38

This involves tracking the volume of visits, leads, and customers to a website from the individual social channel. Google Analytics[110] is a free tool that shows the behavior and other information, such as demographics and device type used, of website visitors from social networks. This and other commercial offers can aid marketers in choosing the most effective social networks and social media marketing activities.
Search engines may penalize sites they discover using black hat methods, either by reducing their rankings or eliminating their listings from their databases altogether. Such penalties can be applied either automatically by the search engines' algorithms, or by a manual site review. One example was the February 2006 Google removal of both BMW Germany and Ricoh Germany for use of deceptive practices.[54] Both companies, however, quickly apologized, fixed the offending pages, and were restored to Google's search engine results page.[55]
Social networking websites are based on building virtual communities that allow consumers to express their needs, wants and values, online. Social media marketing then connects these consumers and audiences to businesses that share the same needs, wants, and values. Through social networking sites, companies can keep in touch with individual followers. This personal interaction can instill a feeling of loyalty into followers and potential customers. Also, by choosing whom to follow on these sites, products can reach a very narrow target audience.[4] Social networking sites also include much information about what products and services prospective clients might be interested in. Through the use of new semantic analysis technologies, marketers can detect buying signals, such as content shared by people and questions posted online. An understanding of buying signals can help sales people target relevant prospects and marketers run micro-targeted campaigns.
Mobile devices have become increasingly popular, where 5.7 billion people are using them worldwide [13]. This has played a role in the way consumers interact with media and has many further implications for TV ratings, advertising, mobile commerce, and more. Mobile media consumption such as mobile audio streaming or mobile video are on the rise – In the United States, more than 100 million users are projected to access online video content via mobile device. Mobile video revenue consists of pay-per-view downloads, advertising and subscriptions. As of 2013, worldwide mobile phone Internet user penetration was 73.4%. In 2017, figures suggest that more than 90% of Internet users will access online content through their phones.[14]
Social media marketing is the use of social media platforms and websites to promote a product or service.[1] Although the terms e-marketing and digital marketing are still dominant in academia, social media marketing is becoming more popular for both practitioners and researchers.[2] Most social media platforms have built-in data analytics tools, which enable companies to track the progress, success, and engagement of ad campaigns. Companies address a range of stakeholders through social media marketing, including current and potential customers, current and potential employees, journalists, bloggers, and the general public. On a strategic level, social media marketing includes the management of a marketing campaign, governance, setting the scope (e.g. more active or passive use) and the establishment of a firm's desired social media "culture" and "tone."

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Paid search advertising has not been without controversy and the issue of how search engines present advertising on their search result pages has been the target of a series of studies and reports[23][24][25] by Consumer Reports WebWatch. The Federal Trade Commission (FTC) also issued a letter[26] in 2002 about the importance of disclosure of paid advertising on search engines, in response to a complaint from Commercial Alert, a consumer advocacy group with ties to Ralph Nader.
Facebook and LinkedIn are leading social media platforms where users can hyper-target their ads. Hypertargeting not only uses public profile information but also information users submit but hide from others.[17] There are several examples of firms initiating some form of online dialog with the public to foster relations with customers. According to Constantinides, Lorenzo and Gómez Borja (2008) "Business executives like Jonathan Swartz, President and CEO of Sun Microsystems, Steve Jobs CEO of Apple Computers, and McDonalds Vice President Bob Langert post regularly in their CEO blogs, encouraging customers to interact and freely express their feelings, ideas, suggestions, or remarks about their postings, the company or its products".[15] Using customer influencers (for example popular bloggers) can be a very efficient and cost-effective method to launch new products or services[18] Among the political leaders in office, Prime Minister Narendra Modi has the highest number of followers at 40 million, and President Donald Trump ranks second with 25 million followers.[19] Modi employed social media platforms to circumvent traditional media channels to reach out to the young and urban population of India which is estimated to be 200 million.
In 2013, the Tenth Circuit Court of Appeals held in Lens.com, Inc. v. 1-800 Contacts, Inc. that online contact lens seller Lens.com did not commit trademark infringement when it purchased search advertisements using competitor 1-800 Contacts' federally registered 1800 CONTACTS trademark as a keyword. In August 2016, the Federal Trade Commission filed an administrative complaint against 1-800 Contacts alleging, among other things, that its trademark enforcement practices in the search engine marketing space have unreasonably restrained competition in violation of the FTC Act. 1-800 Contacts has denied all wrongdoing and is scheduled to appear before an FTC administrative law judge in April 2017.[29]
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.[22] 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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