Marketers target influential people on social media who are recognised as being opinion leaders and opinion-formers to send messages to their target audiences and amplify the impact of their message. A social media post by an opinion leader can have a much greater impact (via the forwarding of the post or "liking" of the post) than a social media post by a regular user. Marketers have come to the understanding that "consumers are more prone to believe in other individuals" who they trust (Sepp, Liljander, & Gummerus, 2011). OL's and OF's can also send their own messages about products and services they choose (Fill, Hughes, & De Francesco, 2013, p. 216). The reason the opinion leader or formers have such a strong following base is because their opinion is valued or trusted (Clement, Proppe, & Rott, 2007). They can review products and services for their followings, which can be positive or negative towards the brand. OL's and OF's are people who have a social status and because of their personality, beliefs, values etc. have the potential to influence other people (Kotler, Burton, Deans, Brown, & Armstrong, 2013, p. 189). They usually have a large number of followers otherwise known as their reference, membership or aspirational group (Kotler, Burton, Deans, Brown, & Armstrong, 2013, p. 189. By having an OL or OF support a brands product by posting a photo, video or written recommendation on a blog, the following may be influenced and because they trust the OL/OF a high chance of the brand selling more products or creating a following base. Having an OL/OF helps spread word of mouth talk amongst reference groups and/or memberships groups e.g. family, friends, work-friends etc. (Kotler, Burton, Deans, Brown, & Armstrong, 2013, p. 189). The adjusted communication model shows the use of using opinion leaders and opinion formers. The sender/source gives the message to many, many OL's/OF's who pass the message on along with their personal opinion, the receiver (followers/groups) form their own opinion and send their personal message to their group (friends, family etc.) (Dahlen, Lange, & Smith, 2010, p. 39).
More than three billion people in the world are active on the Internet. Over the years, the Internet has continually gained more and more users, jumping from 738 million in 2000 all the way to 3.2 billion in 2015. Roughly 81% of the current population in the United States has some type of social media profile that they engage with frequently. Mobile phone usage is beneficial for social media marketing because of their web browsing capabilities which allow individuals immediate access to social networking sites. Mobile phones have altered the path-to-purchase process by allowing consumers to easily obtain pricing and product information in real time. They have also allowed companies to constantly remind and update their followers. Many companies are now putting QR (Quick Response) codes along with products for individuals to access the company website or online services with their smart phones. Retailers use QR codes to facilitate consumer interaction with brands by linking the code to brand websites, promotions, product information, and any other mobile-enabled content. In addition, Real-time bidding use in the mobile advertising industry is high and rising due to its value for on-the-go web browsing. In 2012, Nexage, a provider of real time bidding in mobile advertising reported a 37% increase in revenue each month. Adfonic, another mobile advertisement publishing platform, reported an increase of 22 billion ad requests that same year.
In addition to helping you find keywords you should be bidding on, thorough keyword research can also help you identify negative keywords – search terms that you should exclude from your campaigns. Negative keywords aren’t terms with negative connotations, but rather irrelevant terms that are highly unlikely to result in conversions. For example, if you sell ice cream, you might want to exclude the keyword “ice cream recipes”, as users searching for ice cream recipes are unlikely to be in the market for your product.
Structured data21 is code that you can add to your sites' pages to describe your content to search engines, so they can better understand what's on your pages. Search engines can use this understanding to display your content in useful (and eye-catching!) ways in search results. That, in turn, can help you attract just the right kind of customers for your business.
Social networks are, in many cases, viewed as a great tool for avoiding costly market research. They are known for providing a short, fast, and direct way to reach an audience through a person who is widely known. For example, an athlete who gets endorsed by a sporting goods company also brings their support base of millions of people who are interested in what they do or how they play and now they want to be a part of this athlete through their endorsements with that particular company. At one point consumers would visit stores to view their products with famous athletes, but now you can view a famous athlete's, such as Cristiano Ronaldo, latest apparel online with the click of a button. He advertises them to you directly through his Twitter, Instagram, and FaceBook accounts.
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.
Popular social media such as Facebook, Twitter, LinkedIn, and other social networks can provide marketers with a hard number of how large their audience is nevertheless a large audience may not always translate into a large sales volumes. Therefore, an effective SMM cannot be measured by a large audience but rather by vigorous audience activity such as social shares, re-tweets etc.
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.
When referring to the homepage, a trailing slash after the hostname is optional since it leads to the same content ("https://example.com/" is the same as "https://example.com"). For the path and filename, a trailing slash would be seen as a different URL (signaling either a file or a directory), for example, "https://example.com/fish" is not the same as "https://example.com/fish/".
If your company is business-to-business (B2B), your digital marketing efforts are likely to be centered around online lead generation, with the end goal being for someone to speak to a salesperson. For that reason, the role of your marketing strategy is to attract and convert the highest quality leads for your salespeople via your website and supporting digital channels.