Social media can be used not only as public relations and direct marketing tools but also as communication channels targeting very specific audiences with social media influencers and social media personalities and as effective customer engagement tools. Technologies predating social media, such as broadcast TV and newspapers can also provide advertisers with a fairly targeted audience, given that an ad placed during a sports game broadcast or in the sports section of a newspaper is likely to be read by sports fans. However, social media websites can target niche markets even more precisely. Using digital tools such as Google Adsense, advertisers can target their ads to very specific demographics, such as people who are interested in social entrepreneurship, political activism associated with a particular political party, or video gaming. Google Adsense does this by looking for keywords in social media user's online posts and comments. It would be hard for a TV station or paper-based newspaper to provide ads that are this targeted (though not impossible, as can be seen with "special issue" sections on niche issues, which newspapers can use to sell targeted ads).
SEO techniques can be classified into two broad categories: techniques that search engine companies recommend as part of good design ("white hat"), and those techniques of which search engines do not approve ("black hat"). The search engines attempt to minimize the effect of the latter, among them spamdexing. Industry commentators have classified these methods, and the practitioners who employ them, as either white hat SEO, or black hat SEO. White hats tend to produce results that last a long time, whereas black hats anticipate that their sites may eventually be banned either temporarily or permanently once the search engines discover what they are doing.
By relying so much on factors such as keyword density which were exclusively within a webmaster's control, early search engines suffered from abuse and ranking manipulation. To provide better results to their users, search engines had to adapt to ensure their results pages showed the most relevant search results, rather than unrelated pages stuffed with numerous keywords by unscrupulous webmasters. This meant moving away from heavy reliance on term density to a more holistic process for scoring semantic signals. Since the success and popularity of a search engine is determined by its ability to produce the most relevant results to any given search, poor quality or irrelevant search results could lead users to find other search sources. Search engines responded by developing more complex ranking algorithms, taking into account additional factors that were more difficult for webmasters to manipulate. In 2005, an annual conference, AIRWeb, Adversarial Information Retrieval on the Web was created to bring together practitioners and researchers concerned with search engine optimization and related topics.
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.
Many brands are now heavily using this mobile app to boost their marketing strategy. Instagram can be used to gain the necessary momentum needed to capture the attention of the market segment that has an interest in the product offering or services. As Instagram is supported by Apple and android system, it can be easily accessed by smartphone users. Moreover, it can be accessed by the Internet as well. Thus, the marketers see it as a potential platform to expand their brands exposure to the public, especially the younger target group. On top of this, marketers do not only use social media for traditional Internet advertising, but they also encourage users to create attention for a certain brand. This generally creates an opportunity for greater brand exposure. Furthermore, marketers are also using the platform to drive social shopping and inspire people to collect and share pictures of their favorite products. Many big names have already jumped on board: Starbucks, MTV, Nike, Marc Jacobs, and Red Bull are a few examples of multinationals that adopted the mobile photo app early. Fashion blogger Danielle Bernstein, who goes by @weworewhat on Instagram, collaborated with Harper's Bazaar to do a piece on how brands are using Instagram to market their products, and how bloggers make money from it. Bernstein, who currently has one and a half million followers on Instagram, and whose "outfit of the day" photos on Snapchat get tens of thousands of screenshots, explained that for a lot of her sponsored posts, she must feature the brand in a certain number of posts, and often cannot wear a competitor's product in the same picture. According to Harper's Bazaar, industry estimates say that brands are spending more than $1 billion per year on consumer-generated advertising. Founder of Instagram Kevin Systrom even went to Paris Fashion week, going to couture shows and meeting with designers to learn more about how style bloggers, editors, and designers are currently dominating much of the content on his application.
Webmasters and content providers began optimizing websites for search engines in the mid-1990s, as the first search engines were cataloging the early Web. Initially, all webmasters only needed to submit the address of a page, or URL, to the various engines which would send a "spider" to "crawl" that page, extract links to other pages from it, and return information found on the page to be indexed. The process involves a search engine spider downloading a page and storing it on the search engine's own server. A second program, known as an indexer, extracts information about the page, such as the words it contains, where they are located, and any weight for specific words, as well as all links the page contains. All of this information is then placed into a scheduler for crawling at a later date.