Now is the time for marketers to become AI native and start incorporating Artificial Intelligence (AI)*, Machine Learning (ML)* and Deep Learning (DL)* into their role. Let's examine how marketers can use AI tech and become AI native marketers.
By 2023 businesses are expected to be spending over £87 billion on AI-based technology*. This will lead to an organisation-wide shift towards being familiar with AI and require marketers to start using AI tech in their marketing activities.
Put aside your seniority or specialism within
marketing – now is the time to develop new skills around AI. Here are some
examples of how marketers can use AI and work towards becoming AI native
marketers.
Build Marketing Strategy
Marketers are analyzing various internal and
external data sources to create an effective marketing strategy. AI in
combination with ML can be used to find patterns and understand
trends in a large volume of data to gain meaningful insights to build a marketing strategy.
Create Intelligent Content
AI tools are currently being used to display similar content based on
recent activity, and recently read articles.
AI can also curate content for social media or
create emails, ad copy, or personalized messages. They key tools for content
automation are Word.ai, Articoolo, Persado, and Scoop.it.
Humans are much slower in spotting recurring problems while AI-powered chatbots can do this fast. In addition, they can predict what’s causing issues for a user and come up with suggestions on product/service customer needs to solve their problem.
Achieve Personalization and Optimal Customer Experiences
You can use AI to automate personalization.
For example, as a website owner, you can display the most relevant offers to each
visitor based on their location, demographics, and browsing history.
This is how brands can increase visitor
engagement and make it more rewarding for both parties.
Manage
Cross-Device and Cross-Channel Promotions
Thanks to AI tech companies are able to
identify and target customers on different devices. This speed up the sign-up
process and enables a customer to complete actions at the right time, and the
right place for them.
Brands are trying to diminish the difference
between offline and online experience by using augmented reality to show their products in
real-time 3D.
AI-Enabled
Real-Time Forecasting
To create optimal forecasting data is being used from various sources from internal CRM, ERP, IoT, and other systems, as well as external information such as partners, market intelligence, social media to name a few. AI relies on algorithms and adapts in real-time and takes into account daily, weekly, yearly or seasonal variances and learns to minimize risks and capitalize on opportunities.
Up
Skill To Enhance Your Career and Work Towards Becoming AI Native Marketer
AI native marketer leverages AI in their
everyday marketing activities. You don’t need to become a data expert. Instead,
you need to collaborate with data experts and know-how DL, ML, and AI
work.
Alternatively, consider learning how to
do advanced data analysis, and some visual machine learning to become a marketing
analyst. Now it the time to learn about DL, ML, and AI, so make the most of
it.
Where have you used AI-based tech in your
marketing activities? Let’s talk on LinkedIn or Twitter.
*International Data Corporation (IDC) recently published in their Worldwide Artificial Intelligence Systems
Spending Guide that corporations will be spending around $97 billion on AI
systems by 2023.
*With DL systems can learn hidden patterns from data by
themselves, combine them together and build much more efficient decision
rules.
*ML involves programming
systems to perform a specific task without having to code rule-based
instructions.
*AI technically represents any system that supersedes human abilities for learning and perception.
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