Social media can be a useful source of market information and a way to hear customer perspectives. Blogs, content communities, and forums are platforms where individuals share their reviews and recommendations of brands, products, and services. Businesses are able to tap and analyze the customer voices and feedback generated in social media for marketing purposes; in this sense the social media is a relatively inexpensive source of market intelligence which can be used by marketers and managers to track and respond to consumer-identified problems and detect market opportunities. For example, the Internet erupted with videos and pictures of iPhone 6 "bend test" which showed that the coveted phone could be bent by hand pressure. The so-called "bend gate" controversy created confusion amongst customers who had waited months for the launch of the latest rendition of the iPhone. However, Apple promptly issued a statement saying that the problem was extremely rare and that the company had taken several steps to make the mobile device's case stronger and robust. Unlike traditional market research methods such as surveys, focus groups, and data mining which are time-consuming and costly, and which take weeks or even months to analyze, marketers can use social media to obtain 'live' or "real time" information about consumer behavior and viewpoints on a company's brand or products. This can be useful in the highly dynamic, competitive, fast-paced and global marketplace of the 2010s.
In 2012 during Hurricane Sandy, Gap sent out a tweet to its followers telling them to stay safe but encouraged them to shop online and offered free shipping. The tweet was deemed insensitive, and Gap eventually took it down and apologized. Numerous additional online marketing mishap examples exist. Examples include a YouTube video of a Domino's Pizza employee violating health code standards, which went viral on the Internet and later resulted in felony charges against two employees. A Twitter hashtag posted by McDonald's in 2012 attracting attention due to numerous complaints and negative events customers experienced at the chain store; and a 2011 tweet posted by a Chrysler Group employee that no one in Detroit knows how to drive. When the Link REIT opened a Facebook page to recommend old-style restaurants, the page was flooded by furious comments criticizing the REIT for having forced a lot of restaurants and stores to shut down; it had to terminate its campaign early amid further deterioration of its corporate image.
Social Media for Content Promotion — Social media marketing is a perfect channel for sharing your best site and blog content with readers. Once you build a loyal following on social media, you'll be able to post all your new content and make sure your readers can find new stuff right away. Plus, great blog content will help you build more followers. It's a surprising way that content marketing and social media marketing benefit each other.
Google recommends that all websites use https:// when possible. The hostname is where your website is hosted, commonly using the same domain name that you'd use for email. Google differentiates between the "www" and "non-www" version (for example, "www.example.com" or just "example.com"). When adding your website to Search Console, we recommend adding both http:// and https:// versions, as well as the "www" and "non-www" versions.
Great Social Content — Consistent with other areas of online marketing, content reigns supreme when it comes to social media marketing. Make sure you post regularly and offer truly valuable information that your ideal customers will find helpful and interesting. The content that you share on your social networks can include social media images, videos, infographics, how-to guides and more.
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.
Having a different description meta tag for each page helps both users and Google, especially in searches where users may bring up multiple pages on your domain (for example, searches using the site: operator). If your site has thousands or even millions of pages, hand-crafting description meta tags probably isn't feasible. In this case, you could automatically generate description meta tags based on each page's content.
In 2007, U.S. advertisers spent US $24.6 billion on search engine marketing. In Q2 2015, Google (73.7%) and the Yahoo/Bing (26.3%) partnership accounted for almost 100% of U.S. search engine spend. As of 2006, SEM was growing much faster than traditional advertising and even other channels of online marketing. Managing search campaigns is either done directly with the SEM vendor or through an SEM tool provider. It may also be self-serve or through an advertising agency. As of October 2016, Google leads the global search engine market with a market share of 89.3%. Bing comes second with a market share of 4.36%, Yahoo comes third with a market share of 3.3%, and Chinese search engine Baidu is fourth globally with a share of about 0.68%.
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.