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Artificial Intelligence (AI) is considered the cutting edge of technology by many. But in a few years, it may be as standard as smartphones are today. Divorced from all the implications of popular science fiction movies, AI is a computer or robot that can gather facts about a situation through sensors or through human input. It can then use this information to solve problems or perform tasks. More specifically, AI is a computer system that can perform a task which normally requires human intelligence. This is also the primary reason people fear AI. AI has numerous potential applications in marketing. But in 2019, you’ll mostly see AI deployed for content marketing, customer service, and advertising. Before you start worrying, know that AI isn’t currently positioned to make every content marketer’s job obsolete. AI is mostly used today to identify trends, drum up data, and do competitor research.
Ultimately, it is the business, marketing, and brand development strategies which drive the growth of a business, so it is important to have a sound marketing strategy and branding in place before working on the digital tactics. Otherwise, it’s likely your hard work on the digital tactics will be wasted if they are directed at the wrong audience and your value proposition isn’t strong enough. The key trend here is the way digital technologies and media offer the opportunities for digital disruption. Yet digital marketing is not always used as a disruptor. As I discuss in my Digital Marketing: Strategy, Implementation and Practice book, digital marketing is more often used for market penetration than new product or market development (these are the classic Ansoff growth strategies). To give you a benchmark, this new CMO Survey research from Duke University Fuqua Business School, Deloitte and the American Marketing Association based on the views of Chief Marketing Officers (CMOs) in large US organizations is useful. It’s interesting since it translates the theory of Ansoff into practice, showing how businesses are mainly investing, but other strategies are significant.
Programmatic advertising means using AI to automate ad buying so you can target more specific audiences. Real-time bidding, for example, is a type of programmatic ad buying. This automation is much more efficient and fast, which means higher conversions and lower customer acquisition costs. It’s changing the face of digital advertising so swiftly that, according to eMarketer, 86.2% of digital display ads in the U.S. will be programmatic by 2020. According to Irina Kovalenko of SmartyAds: “Most search-driven manual advertising campaigns (even those performed with professional tools) take into account three or four targets: the keyword, time of day, and location. Such tools like programmatic demand-side platforms can use hundreds of targeting signals to individualize the advertisement and even target according to lifestyle or behavior habits when integrated with customer data platforms.”
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