Marketing (r)evolution (part 1)

in #economics6 years ago

Marketing is just before an evolutionary jump, which will be so significant that we can even talk about (r)evolution. The situation in the next five years will change more than in the past 20 years, with more than 85 percent of marketing reform projects being doomed to failure.


source: (R)evolutionary jump

Digital has prevailed

Artificial intelligence (AI) technologies are becoming part of everyday life, even if we have limited resources, every year we have new competitors with completely different solutions, customers today want other things as they did two years ago ...

"Shining new toys" syndrome or how artificial intelligence changes marketing

Artificial intelligence is here, and marketers need to accept and understand a new kind of synthetic thinking. What was treated as a science fiction, is becoming a reality. Artificial intelligence and computer learning have transformed the field of technology so well, a comprehensive set of evidence ranges from self-winding cars to digital assistants such as Apple's Siri.


source: Apple's Siri

What is actually Artificial Intelligence (AI)?

It is a way of computer's learning ability, by which they become intelligent and capable of solving problems, same as people do. For decades, programmers have written a computer code, and computer-based artificial intelligence learning is based on the fact that computers learn the logic from the examples and then solve the problems themselves with the acquired knowledge.


source: Artificial Intelligence

Further integration of technology into the physical world will in the near future generate new interactions of brands with consumers through new technologies, which will increase consumer expectations, but also bring new challenges and opportunities to trademarks. However, applications of artificial intelligence will be significantly more extensive than the impact on interactions between customers and brands.

Computer algorithms are increasingly more confident in analytics of past events, as well as on leading future trends. What about the actual implementation of certain logical operations - can artificial intelligence work in everyday practice? Jørn Lyseggen says in his book Outside Insight as well as in his presentations... that it actually can.

Recommendations of the algorithm instead of several hours of exploring and finding the right offer

The above will naturally affect the perception and expectations, as well as the acceptance of consumer purchasing decisions. If artificial intelligence can analyze and perform marketing tasks, can it (at least partially) automate the acceptance of purchasing decisions? A working example of this practice is Amazon's assistant Alexa, who makes a purchase on demand (or order) of a specific product, without it being necessary to tell the product of which brand we want.


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