The concept of Artificial Intelligence was coined at the Dartmouth Conference in the year 1956. This concept refers to an algorithmic tool that can compute or can replace human intelligence required in the completion of certain tasks. The hype around the buzzword “Artificial Intelligence” is concentrated with the terms like software, deep learning, algorithms, etc. Needless to say, it is much more than that.
Considering the benefits of AI, marketing industry aims to embrace
the new technology to keep up with the new world. It is seen that in today’s
data-driven world, the role of marketing in businesses has become more complex
than ever before. To succeed, businesses and best marketing agencies need to
harness the power of machine learning, data science, deep learning,
and AI to create marketing strategies that are targeted, efficient,
and effective to capture the target audience.
Before diving into AI marketing strategies, one must know
that types of AI.
They are:
Predictive
Analytics: AI-powered predictive
analytics uses machine learning algorithms to analyse historical data and
predict future outcomes. Marketing can help identify customer behaviour
patterns, forecast sales, optimize pricing strategies, and anticipate customer
churn, enabling businesses to make informed decisions and take proactive
marketing actions.
Natural
Language Processing (NLP): NLP involves AI techniques that enable computers to understand and
process human language. It supports sentiment analysis, chatbots, voice
assistants, and language-based recommendation systems. It helps businesses
analyse customer feedback, provide personalized customer support, and deliver
targeted marketing messages.
Image
Recognition: Image
recognition AI allows machines to identify and analyse visual content such
as images and videos. It helps with visual search, content moderation, and
personalized advertising in marketing. By analysing visual elements, businesses
can enhance product discovery, improve ad targeting, and create more engaging
visual experiences for customers.
Personalization:
AI-driven
personalization utilizes machine learning algorithms to analyse customer data
and deliver personalized experiences across various marketing channels. It
enables businesses to understand individual preferences, recommend relevant
products or content, and tailor marketing messages to specific customer
segments. This enhances customer engagement, increases conversion rates, and
fosters long-term customer loyalty.
Using AI in marketing strategies involves several steps, like
assessing marketing processes to implementing, training, and scaling AI-powered
solutions. Here are the different steps involved in leveraging AI in the system
for marketing strategies
Assess the
marketing processes: The first step in leveraging AI in the marketing strategies
is to assess the existing marketing processes. This involves understanding the
customer journey and identifying areas where AI can help optimize the marketing
efforts.
Find
marketing bottlenecks: Once the marketing processes are assessed, the next step is
identifying marketing bottlenecks. This involves looking for areas where manual
processes slow down the marketing efforts, such as lead generation, content
creation, or customer engagement.
Looking for
automation solutions: After identifying marketing bottlenecks, the next step is to
look for automation solutions that can help streamline the marketing processes.
This involves evaluating different AI-powered tools and solutions that can help
automate repetitive tasks and improve marketing efficiency.
Implement,
train, and scale: After identifying the right AI-powered solutions for the
marketing processes, the next step is to implement, train, and scale these
solutions. This involves integrating AI-powered tools and solutions into the
existing marketing processes and training the marketing teams to use those
tools effectively. It also involves continuous monitoring and optimizing these
solutions to ensure they deliver the desired results.
While AI
can be extremely helpful with the above strategies used correctly, it is also
imperative that one looks at the cons that AI brings too to make sure marketers
can strike the right balance. Let’s have a look:
No
one-size-fits-all solution: Certain AI-powered marketing tasks cannot be performed by a single AI
machine. Marketers have to rely on different individual solutions to perform
certain tasks. One needs to choose from the plenty of intelligent marketing
tools available to choose, from using AI to optimizing and personalizing
content to an AI tool that helps optimize paid campaigns. However, with no
one-size-fits-all solution, it becomes expensive, time-consuming and messy
trying to use a different range of tools to carry out a particular task.
Requires
Supervision: To
run a marketing campaign, a marketer is very much required in order to plan,
design and run the campaign. AI machines cannot work all by themselves. AI
system needs someone to feed the system with all the required information for
them to learn. It is believed that this form of supervised learning does not
imitate the way humans learn naturally, and this might be one of the biggest
obstacles when it comes to creating a more human-like AI machines.
Limited
to Thinking: AI
is limited to its thinking. It can only do what it is programmed to do.
Generally, it does all the work like a pro, but unlike humans, it is unable to
make any judgments on its own. This factor can get a company into trouble at
times if it’s not controlled.
Cost
and Maintenance: Every new technology that is released in the market is expensive. AI is
no different than the other. In fact, there can be a significant cost of
purchase and a need for ongoing maintenance repair. In adapting to the
continually changing business environment, the AI software will also require
regular upgrades. Before marketers go ahead and implement any AI system, they
need to carefully consider the return on investment of the company.
Lack
of Creativity:
AIs are not built for creative pieces of work, at least not yet! Although they
can help in designing and creating something extraordinary, they still can’t
compete with the human brain. Their creativity is limited to the creative
ability of the person who programs and commands them.