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Research paper on artificial intelligence in digital marketing

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To understand the impact that artificial intelligence AI will have on market research, it is first important to be clear about what exactly AI is and what it is not. Artificial intelligence is the intelligence displayed by machines, often characterized by learning and the ability to adapt. It is not the same as automation. Automation is already widely used throughout the insights industry to speed up a number of processes.
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10 Brilliant Examples of AI in Marketing

Research paper on artificial intelligence in digital marketing
Research paper on artificial intelligence in digital marketing
Research paper on artificial intelligence in digital marketing
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10 Brilliant Examples Of AI In Marketing | Feedough

Are your marketing strategies taking advantage of the massive leaps in technological innovation to reach your customers when—and where—it matters? In the arms race that is modern marketing , failure to capitalize on advances in emerging technologies such as artificial intelligence can result in customer engagement levels far behind your tech-enhanced competitors. For decades, the standard model for targeted advertising has been to find indicators of behavioral similarities a subscription to a magazine in a particular subject matter, for example and produce mass content that appeals to the perceived needs of your targeted demographic. Yet, the human effort required to craft truly personalized, large-scale marketing and advertising has made it virtually impossible to target buyers with surgical-like precision.
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The Impact of Artificial Intelligence in Digital Marketing

Artificial intelligence not only helps marketers in executing their marketing strategies but are also used to form one. Artificial intelligence, neural networks, deep learning, big data, automation etc. These terms and practices give rise to marketing as we know it today.
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In the future, artificial intelligence AI is likely to substantially change both marketing strategies and customer behaviors. Building from not only extant research but also extensive interactions with practice, the authors propose a multidimensional framework for understanding the impact of AI involving intelligence levels, task types, and whether AI is embedded in a robot. Prior research typically addresses a subset of these dimensions; this paper integrates all three into a single framework. Next, the authors propose a research agenda that addresses not only how marketing strategies and customer behaviors will change in the future, but also highlights important policy questions relating to privacy, bias and ethics. Finally, the authors suggest AI will be more effective if it augments rather than replaces human managers.
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