Machine Learning, the latest revolution in email marketing
Posted: Tue Feb 18, 2025 6:29 am
Machine learning is increasingly present in our daily lives. You've probably heard about artificial intelligence and how it's revolutionising the world of telephony, for example.
Today we're going to tell you about the advantages of implementing machine learning technologies in email marketing, as well as the possibilities for starting to do so right away. If you're currently creating campaigns and think you need a push to get them off the ground, these new techniques may make a big difference for you.
This concept is implemented in much of the technology that we have around us every day and although it doesn't grow out of nowhere, it is true that it needs little maintenance, learning more and more from users and their actions. A good example is the website of the e-commerce giant Amazon, which recommends products on its home page by studying everything we have bought and looked at previously.
It does this automatically and increasingly better, since every austria telegram data we enter the platform it collects more information and offers us products that we surely would not have thought of. Amazon not only implements this learning on its public-facing page, but also internally to feed its marketing campaigns.
How Machine Learning is going to change email marketing
Not everything has to be websites or large companies, as there are dozens of programs prepared to be used by everyone . In email marketing, it is very important that our content is perfectly adapted to the needs of the user. We have services to improve the subject line and that the probability of opening the email is much greater.
This is achieved after thousands of tests and checks that the services themselves have already carried out and therefore it will not be your task . The results can offer you much more attractive subject lines , which have worked in other campaigns and are updated daily by the machine learning program.
We can also extrapolate this technique to optimize the time of sending emails . Thanks to the program's learning, we can know in which areas it is best to send an email at a certain time and which will have a higher opening rate.
There are many possibilities for Machine Learning in email marketing , and although this does not mean that we should put all our decisions in the hands of these techniques, it is good to put some aspects to the test to see if they improve the reception and acceptance rates of emails.
Today we're going to tell you about the advantages of implementing machine learning technologies in email marketing, as well as the possibilities for starting to do so right away. If you're currently creating campaigns and think you need a push to get them off the ground, these new techniques may make a big difference for you.
This concept is implemented in much of the technology that we have around us every day and although it doesn't grow out of nowhere, it is true that it needs little maintenance, learning more and more from users and their actions. A good example is the website of the e-commerce giant Amazon, which recommends products on its home page by studying everything we have bought and looked at previously.
It does this automatically and increasingly better, since every austria telegram data we enter the platform it collects more information and offers us products that we surely would not have thought of. Amazon not only implements this learning on its public-facing page, but also internally to feed its marketing campaigns.
How Machine Learning is going to change email marketing
Not everything has to be websites or large companies, as there are dozens of programs prepared to be used by everyone . In email marketing, it is very important that our content is perfectly adapted to the needs of the user. We have services to improve the subject line and that the probability of opening the email is much greater.
This is achieved after thousands of tests and checks that the services themselves have already carried out and therefore it will not be your task . The results can offer you much more attractive subject lines , which have worked in other campaigns and are updated daily by the machine learning program.
We can also extrapolate this technique to optimize the time of sending emails . Thanks to the program's learning, we can know in which areas it is best to send an email at a certain time and which will have a higher opening rate.
There are many possibilities for Machine Learning in email marketing , and although this does not mean that we should put all our decisions in the hands of these techniques, it is good to put some aspects to the test to see if they improve the reception and acceptance rates of emails.