The main applications of artificial intelligence in digital marketing

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Learn about the uses of Artificial Intelligence in Digital Marketing, as well as the role of Machine Learning in this relationship

When you hear about Artificial Intelligence (AI), the first thing that comes to mind is the subjugation of humanity to powerful machines, until the inevitable extinction of our species when they realize that we are no longer useful?

No? Then forget about that idea, because AI is already everywhere and solving some problems for us, human beings. In other words, it is our friend, at least for now.

In this post, we will talk about how Artificial Intelligence can play a role in Digital Marketing. Some things are already a reality, while others still have a long way to go. The important thing is to be prepared for when the revolution comes.

What is Digital Marketing
Digital Marketing is a set of strategies aimed at promoting bulgaria whatsapp data brand on the internet. It differs from “traditional” marketing because it involves the use of different online channels and methods that allow for the analysis of results in real time.

The most used channels – which historically present the best results – are the following: Content Marketing, Email Marketing, Social Media, Conversion Rate Optimization (CRO) and Search Engine Marketing (SEM).

If you are reading this post, it is because we were successful in attracting you using one of the channels above. It is also possible that you already regularly read our blog. In any case, at some point our Digital Marketing work impacted you, right?

What is Artificial Intelligence
Many people — including myself, at the beginning of this post — make the connection, half-jokingly, half-despairingly, between Artificial Intelligence and machines’ dominance over humans. At least for now, it’s the opposite: they help us solve problems.

Artificial Intelligence is too broad for a straightforward definition. The term itself refers to intelligence that is similar to or simulates human intelligence, but through a mechanism or software. It is also a field of scientific study.

Its most visible face, besides Arnold Schwarzenegger (I promise this is the last joke on the subject), are customer service bots. You've certainly seen one — here on the blog, for example, there's a little robot. They sum up one of the great advantages of AI: performing a task on a larger scale, freeing up humans to solve more complex problems.

But isn't solving more complex problems exactly the function of technology? Yes and no. Creativity and adaptability are still characteristics that differentiate us from machines.

Before you think you're too special, however, know that there are fields of study trying to eliminate this new advantage. Among them is Machine Learning, which is relevant to talk about the applications of Artificial Intelligence in Digital Marketing.

What is Machine Learning
Machine Learning is easier to define: it is the ability of a machine or system to learn without the need for programming. This definition was given by Avinash Kaushik, an expert on the subject who gave a very interesting interview to RD Station .

To learn this, computers identify patterns in a large amount of data. Based on this information, they make highly accurate predictions using algorithms and statistical techniques.

In this way, Machine Learning can help companies in various sectors. Want an example from your day-to-day life? The suggestions that e-commerce sites present to you after a purchase. They are the result of the analysis of millions of consumer interactions.

There are advantages to both sides of this relationship: you receive promotions that make sense for your profile, while the company can make a new sale. Artificial Intelligence helps create a natural relationship of loyalty.

Uses of Artificial Intelligence in Digital Marketing
The main uses of Artificial Intelligence in Digital Marketing involve Machine Learning. Below, we list some actions that combine both:

Lead Qualification
Measuring the Marketing team's contributions to increasing company revenue is increasingly accurate and fast. Knowing what generates more Marketing Qualified Leads (MQLs) and Sales Qualified Leads (SQL) is one of the many benefits that Machine Learning brings.

With it, Artificial Intelligence helps to qualify customer lists and prospects very accurately, using relevant data available online. This way, they can build an ideal customer profile (ICP).

With each sale made, the data is updated, improving the prognosis of new possible sales, helping salespeople and pre-salespeople save time. This way, they can prioritize the most qualified Leads and channel sales efforts to the right locations and strategies.