In addition, social media platforms have become extremely aware of their users and collect information about their viewers to connect with them in various ways. Social-networking website Facebook Inc. is quietly working on a new advertising system that would let marketers target users with ads based on the massive amounts of information people reveal on the site about themselves. This may be an unethical or ethical feature to some individuals. Some people may react negatively because they believe it is an invasion of privacy. On the other hand, some individuals may enjoy this feature because their social network recognizes their interests and sends them particular advertisements pertaining to those interests. Consumers like to network with people who have interests and desires that are similar to their own. Individuals who agree to have their social media profile public, should be aware that advertisers have the ability to take information that interests them to be able to send them information and advertisements to boost their sales. Managers invest in social media to foster relationships and interact with customers. This is an ethical way for managers to send messages about their advertisements and products to their consumers.
In February 2011, Google announced the Panda update, which penalizes websites containing content duplicated from other websites and sources. Historically websites have copied content from one another and benefited in search engine rankings by engaging in this practice. However, Google implemented a new system which punishes sites whose content is not unique. The 2012 Google Penguin attempted to penalize websites that used manipulative techniques to improve their rankings on the search engine. Although Google Penguin has been presented as an algorithm aimed at fighting web spam, it really focuses on spammy links by gauging the quality of the sites the links are coming from. The 2013 Google Hummingbird update featured an algorithm change designed to improve Google's natural language processing and semantic understanding of web pages. Hummingbird's language processing system falls under the newly recognized term of 'Conversational Search' where the system pays more attention to each word in the query in order to better match the pages to the meaning of the query rather than a few words . With regards to the changes made to search engine optimization, for content publishers and writers, Hummingbird is intended to resolve issues by getting rid of irrelevant content and spam, allowing Google to produce high-quality content and rely on them to be 'trusted' authors.
Engagement with the social web means that customers and stakeholders are active participants rather than passive viewers. An example of these are consumer advocacy groups and groups that criticize companies (e.g., lobby groups or advocacy organizations). Social media use in a business or political context allows all consumers/citizens to express and share an opinion about a company's products, services, business practices, or a government's actions. Each participating customer, non-customer, or citizen who is participating online via social media becomes a part of the marketing department (or a challenge to the marketing effort). Whereas as other customers read their positive or negative comments or reviews. Getting consumers, potential consumers or citizens to be engaged online is fundamental to successful social media marketing. With the advent of social media marketing, it has become increasingly important to gain customer interest in products and services. This can eventually be translated into buying behavior, or voting and donating behavior in a political context. New online marketing concepts of engagement and loyalty have emerged which aim to build customer participation and brand reputation.
Social media marketing, or SMM, is a form of internet marketing that involves creating and sharing content on social media networks in order to achieve your marketing and branding goals. Social media marketing includes activities like posting text and image updates, videos, and and other content that drives audience engagement, as well as paid social media advertising.
Apple's iPhone 5c: Created a Tumblr page, labeling it "Every color has a story" with the website name: "ISee5c". As soon as you visit the website, the page is covered with different colors representing the iPhone 5c phone colors and case colors. When you click on one of the colored section, a 15-second video plays a song and "showcases the dots featured on the rear of the iPhone 5c official cases and on the iOS 7 dynamic wallpapers...", concluding with words that are related to the video's theme.
Expertise and authoritativeness of a site increases its quality. Be sure that content on your site is created or edited by people with expertise in the topic. For example, providing expert or experienced sources can help users understand articles’ expertise. Representing well-established consensus in pages on scientific topics is a good practice if such consensus exists.
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. 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.
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. 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.