Customer demand for online services may be underestimated if you haven"t researched this. Perhaps, more importantly, you won't understand your online marketplace: the dynamics will be different to traditional channels with different types of customer profile and behaviour, competitors, propositions, and options for marketing communications. There are great tools available from the main digital platforms where we can find out the level of customer demand, we recommend doing a search gap analysis using Google's Keyword planner to see how you are tapping into the intent of searchers to attract them to your site, or see how many people interested in products or services or sector you could reach through Facebook IQ.
The digital revolution has led to a titanic shift in the landscape of the marketing communication, while also creating new opportunities for businesses to reach and engage consumers through smart, social, and mobile media technologies. In this course, you will learn about the impacts of digital technologies on marketing communication strategies and practices. By understanding the underlying processes of marketing communication and the core features of new media technologies, you can strategically select the appropriate channels to deliver the right marketing message to the right audience at the right moment.
Simply put, digital marketing is the promotion of products or brands using electronic devices or the internet. It also includes text messaging, instant messaging, video, apps, podcasts, electronic billboards, digital television and radio channels, etc. Digital marketing uses multiple channels and technologies that allow an organization to analyze campaigns, content and strategy to understand what’s working and what isn’t – typically in real time.
Digital marketing became more sophisticated in the 2000s and the 2010s, when the proliferation of devices' capable of accessing digital media led to sudden growth. Statistics produced in 2012 and 2013 showed that digital marketing was still growing. With the development of social media in the 2000s, such as LinkedIn, Facebook, YouTube and Twitter, consumers became highly dependent on digital electronics in daily lives. Therefore, they expected a seamless user experience across different channels for searching product's information. The change of customer behavior improved the diversification of marketing technology.
Website owners recognized the value of a high ranking and visibility in search engine results, creating an opportunity for both white hat and black hat SEO practitioners. According to industry analyst Danny Sullivan, the phrase "search engine optimization" probably came into use in 1997. Sullivan credits Bruce Clay as one of the first people to popularize the term. On May 2, 2007, Jason Gambert attempted to trademark the term SEO by convincing the Trademark Office in Arizona that SEO is a "process" involving manipulation of keywords and not a "marketing service."
Social networking sites such as Facebook, Instagram, Twitter, MySpace etc. have all influenced the buzz of word of mouth marketing. In 1999, Misner said that word-of mouth marketing is, "the world's most effective, yet least understood marketing strategy" (Trusov, Bucklin, & Pauwels, 2009, p. 3). Through the influence of opinion leaders, the increased online "buzz" of "word-of-mouth" marketing that a product, service or companies are experiencing is due to the rise in use of social media and smartphones. Businesses and marketers have noticed that, "a persons behaviour is influenced by many small groups" (Kotler, Burton, Deans, Brown, & Armstrong, 2013, p. 189). These small groups rotate around social networking accounts that are run by influential people (opinion leaders or "thought leaders") who have followers of groups. The types of groups (followers) are called: reference groups (people who know each other either face-to-face or have an indirect influence on a persons attitude or behaviour); membership groups (a person has a direct influence on a person's attitude or behaviour); and aspirational groups (groups which an individual wishes to belong to).
Early versions of search algorithms relied on webmaster-provided information such as the keyword meta tag or index files in engines like ALIWEB. Meta tags provide a guide to each page's content. Using metadata to index pages was found to be less than reliable, however, because the webmaster's choice of keywords in the meta tag could potentially be an inaccurate representation of the site's actual content. Inaccurate, incomplete, and inconsistent data in meta tags could and did cause pages to rank for irrelevant searches.[dubious – discuss] Web content providers also manipulated some attributes within the HTML source of a page in an attempt to rank well in search engines. By 1997, search engine designers recognized that webmasters were making efforts to rank well in their search engine, and that some webmasters were even manipulating their rankings in search results by stuffing pages with excessive or irrelevant keywords. Early search engines, such as Altavista and Infoseek, adjusted their algorithms to prevent webmasters from manipulating rankings.
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.
Data-driven advertising: Users generate a lot of data in every step they take on the path of customer journey and Brands can now use that data to activate their known audience with data-driven programmatic media buying. Without exposing customers' privacy, users' Data can be collected from digital channels (e.g.: when customer visits a website, reads an e-mail, or launches and interact with brand's mobile app), brands can also collect data from real world customer interactions, such as brick and mortar stores visits and from CRM and Sales engines datasets. Also known as People-based marketing or addressable media, Data-driven advertising is empowering brands to find their loyal customers in their audience and deliver in real time a much more personal communication, highly relevant to each customers' moment and actions.
The marketing automation coordinator helps choose and manage the software that allows the whole marketing team to understand their customers' behavior and measure the growth of their business. Because many of the marketing operations described above might be executed separately from one another, it's important for there to be someone who can group these digital activities into individual campaigns and track each campaign's performance.