The concept of Artificial Intelligence emerged some decades ago and, for a long time it was associated with an extremely far away future, almost utopic. However, AI is not a theory anymore. Today we can carry it in our hands and it has a great impact on our business.This study field brings the idea of machines solving problems that when operated by humans there’s a need for cognitive intelligence.
Thanks to specific programming and identified patterns on a database, robots can make self-governed decisions, which can bring greater efficiency to companies.
Because of better results, more and more companies from different areas are integrating Artificial Intelligence in their services. And there is an increasing trend coming. According to the Salesforce State of Service annual report, AI use is expected to increase at 143% by service companies in 18 months.
According to the latest reports, AI adoption by service organizations has accelerated substantially: more than 90% of companies using AI now report cost savings, increased productivity, and improved customer experience.
Additionally, platform has achieved over $1 billion in annual recurring revenue, and internally, AI already resolves up to 85% of customer service calls. This growing adoption reinforces the central role of AI in contemporary business.
Machine Learning: how do machines learn?
As the concept of AI got stronger, practical applications emerged. One of them is machine learning, an analysis method based on algorithms. Systems are trained by a great database and then it builds analytics models.
These models served as patterns to analyze new data, learn with them and make decisions without any or very little human intervention. Information flows through systems by neural networks that were developed to copy the neuronome structure of a human brain.
Machine Learning helps to deal with the great amount of data generated nowadays. Suites find connection with all the collected elements and, from them they draw profiles, identify tates and even anticipate decisions.
Recommendation systems as in Netflix, Spotify or Google works with the machine learning tool. Based on clicks and previous searches, these suites can offer incredible and precise results that bring us the sensation of “oh, that’s exactly what I was looking for”.
The global AI market in education is booming, estimated to reach $7.7 billion in 2025 — a growth of over 45% compared to 2024.
Meanwhile, around 60% of educators already use AI tools in the classroom, and 87% of educational institutions have integrated these technologies into at least one operational area by 2025.
In digital marketing, machine learning allows investment with better rate of return because of a more precise identification of potential customers. This technique even allows a more personalized approach, efficient data collection and analysis and automation of certain processes.
Does it work if we decide to head these technologies to educational institution marketing to get better results? Let 's find out!
Artificial Intelligence in Educational Marketing
AI is seen in a lot of businesses and it’s applied with the intention of increasing productivity and providing companies growth. With educational institution it couldn’t be different. The use of this technology in educational marketing has brought consistent results.
Check below some of the possibilities AI brought to educational institution regarding marketing and how this technology is applied.
Image: Applications of artificial intelligence in modern education and the advancement of educational technologies in the day-to-day activities of institutions.
Scenes anticipation
One of the main benefits of using AI is the possibility of doing predictive analysis. When we analyze past data to see incidents, the system can anticipate scenarios for the same circumstances. With this information, it’s possible to draw an efficient educational marketing strategy.
We can take as an example an educational institution that needs to increase its student capture with AI. Using a machine learning suite, it’s possible to generate a database with information of already-enrolled students.
The machine then analyzes, by the settled behavior patterns, the action taken by the students before enrolling. With this kind of detailed customer buyer’s journey, content planning focused on this decision becomes even more precise.
The same happens when the goal is retention. In this case, the suite is capable of realizing which student group has an evasion risk. This predictive analysis is used for specific campaigns targeted to these students.
What that means is: thanks to this scenario anticipation, the educational institution can shape strategies to expand better result possibilities. As it’s said: better safe, then sorry.
According to a Gartner research, by 2023, 33% of the greatest companies in the world would be making smart decisions based on this kind of analysis. This demonstrates a growing tendency and with great economic impact.
Winning and Getting to know the ideal audience
Let’s think about it: do you really know your audience well? Are you capable of pointing out what kind of subject they like or what campaign has a better impact on them? If your answer is “no”, you might learn that Artificial Intelligence is a technology that allows you to reach this goal.
Predictive Analysis is a little bit of that. After all, it’s important to know the leads with better chances of conversion and also the students who are thinking about giving up their course. Technologies such as machine learning are quite efficient for that once they can identify what we call behavior patterns.
It’s these kinds of tools that are behind the Inbound Marketing structure. The educational institution can associate its brand with a full educational experience instead of “running after potential customers”, we delight them, offer them great information and become an authority with expertise.
When customers want to learn more about the company’s expertise, more information this company will deliver about itself. It can be downloading an ebook, or subscribing to a newsletter after reading an article. Every step is important to define who the audience is and what they want.
Marketing Automation as an ally
Using AI tools is an efficiency investment. Automation allows some tasks that were made manually in the past to be led by machines faster and more precisely, increasing productivity.
As an example we have the chatbots, which despite the benefits are still not used in more than half of the educational institution in the country. These robots are programmed to operate 24 hours per day, an efficient virtual assistant that can positively impact the customer’s experience with quick answers.
Through machine learning, chatbots guarantee a service fluidity, reducing waiting queues, getting payment and doing the enrollment process. If the robot can’t help the user in any moment, they will lead them to an employee that will finish the task where it has stopped.
More than just efficiency in doing what was asked, these virtual assistants have a human-like approach, letting this “robotic mood” that the customer’s don’t link in the past.
In Brazil, the adoption of AI is also advancing: a survey by ABMES with Educa Insights indicates that 71% of university students or those in the process of entering use AI tools in their studies (29% daily and 42% weekly).
This spontaneous use surpasses institutional initiatives and reinforces the need for educational institutions to educate their audiences on the ethical and effective use of these technologies.
Here in Mkt4edu, Artificial Intelligence is not just reality, but it’s also our daily basis. We use technology to bring educational institution closer to their customers.
Contact us and find out how the tools we use can push forward your brand in the market.
How is artificial intelligence transforming educational marketing?
What is artificial intelligence and how has it evolved in recent years?
Artificial intelligence (AI) is the ability of machines to solve problems that require human intelligence. Once seen as futuristic, it is now part of everyday life, boosting business efficiency, automation, and personalization.
What is the difference between artificial intelligence and machine learning?
AI is the broader concept of intelligent machines, while machine learning is a practical application that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention.
How is machine learning used in educational marketing?
With machine learning, institutions analyze student and lead behavior to predict actions, personalize content, and optimize campaigns. This leads to more efficient and data-driven enrollment and retention strategies.
How does AI help better understand the audience?
AI maps behavioral profiles based on interactions, clicks, and form submissions. This allows institutions to identify relevant topics and adjust their communication more precisely.
Are chatbots really effective for educational institutions?
Yes. When powered by AI, chatbots provide 24/7 support, reduce wait times, process enrollments, and communicate in a more human-like manner, enhancing the user experience.
Does automation with AI replace human work?
No. Automation increases productivity by handling operational tasks, but human interaction remains crucial for complex and strategic communication.
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