How Artificial Intelligence can act in Marketing
Artificial
intelligence (AI), the term itself refers to machines with a knowledge that
resembles or simulates the human mind, most eminently learning and
problem-solving. Thus, capabilities associated with the Machine Learning - this
enables a system to learn from data through software (IBM, 2020) it helps in
providing useful business insights and precise models, by the data collected.
Moreover, the ideas they get guide marketers to promote campaign performance
and output on investment (ROI) faster.
According
to Smart insights 2020, AI is making a difference in the way of marketers
decode the ever-changing world of marketing by analyzing customer data and
helping marketers make sense of user intent. As mentioned, the fundamental uses
of AI in Marketing is Machine Learning. Some options already combine the two
things that can bring advantages to increase customer value and
maintenance:
Sales forecasting: use the data collected about previous sales, also the
result of this report, bring the insights of the possible sales of current and
future campaigns.
Understand customers: help to have a comprehensive understanding of customers
needs and expect.
Find the trend: capacity
to analyze a significant amount of data that can be used to identify upcoming
trends by “joining in” real-time reasoning or events of customers.
Programmatic Ad Targeting: AI in marketing change the process into a simpler
automated process. Also, it converts all or parts of the ad-buying trial
utilizing software-driven technology.
Chabot: Businesses can now set
predetermined answers to the frequently asked questions of their customers,
also the facility of reply every time a customer sends a message.
Speech Recognition: It’s already been used in apps such as Google Maps,
Shazam, and other hands-free systems. Thus can recognize talked words and turn
them into the text to execute the command.
Content Generation: it can’t create long and persuasively composed
articles by CEOs, bloggers, industry leaders and other skilled writers are
offering in-depth information approximately any given topic.
In conclusion, it is really amazing how
exposed we are to Artificial Intelligence from all sides. Thus, AI
applications in marketing enable to better understand consumer behaviour
generate and analyze a larger volume of even more accurate data on the habits,
preferences and attitudes of customers and interact more deeply with each one
thus improving the customer experience with the brand.
References:
1. IBM
(2020). ‘Machine Learning | IBM.’ [ONLINE] Available at:
https://www.ibm.com/analytics/machine-learning. (Accessed: 24 February
2020).
2. Smart
Insights (2020). ‘Artificial Intelligence (AI) for marketing.’ [ONLINE]
Available at: https://www.smartinsights.com/tag/artificial-intelligence-ai-for-marketing/ [Accessed: 24 February 2020].
3. Mage
Plaza (2020). ‘AI Marketing: What, Why and How to use Artificial
Intelligence Marketing’. [ONLINE] https://www.mageplaza.com/blog/ai-marketing-what-why-how.html [Accessed:
24 February 2020].


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