Artificial Intelligence is applied to different stages of email marketing .
An AI tool can, for example: personalize messages based on specific commands (prompts), suggest email subjects, create email templates, perform A/B tests to improve conversion rates, and more.
This technology allows for the creation of smarter and more segmented campaigns in less time.
Today, we are going to analyze all these optimization possibilities.
How many times have you used ChatGPT ? (Note that I didn’t ask if you’ve used it.) What about DALL-E2 ? Or Midjourney ? Every little aspect of marketing can now be optimized, improved, and accelerated thanks to AI.
But let’s not talk about every single factor of marketing. There’s probably an AI for each of them. Let’s talk about something we’re good at: email marketing strategies.
If you’re really interested in AI, you won’t have missed the wordplay we just played and you’ll immediately think of our hallowed temple of new tools: theresanaiforthat.com .
In the image below you can see all the solutions that we currently have available for writing emails.
That’s right! Just to write. And as we know, creating effective email campaigns is much more than writing good copy .
There’s audience segmentation, offer wallis and futuna islands email list 100000 contact leads personalization, template optimization, A/B testing, and all sorts of other things that AI may or may not have taken over already.
That’s why you’re here, right? To find out exactly how AI can help you with your email marketing efforts that go beyond copywriting. So buckle up and let’s get started!
How does AI actually work?
First of all, it is important to clarify that when we talk about AI in email marketing , we are actually
Referring to a series of different technologies:
machine learning (ML),
computer vision or computer vision ,
natural language processing ( NLP),
deep learning or deep learning
and even automation of email campaigns .
AI technology is capable of analyzing large the employer’s image affects how quickly you find data sets, making predictions, and thus offering recommendations that significantly boost the personalization and segmentation of our digital marketing campaigns .
Natural language generation AI solutions (such as the famous ChatGPT) compute large amounts of data and generate responses based on what they have been provided with. Therefore, the quality of the result directly depends on the depth of that data.
ChatGPT, for example, was trained in 2021 so, for by lists now, don’t expect it to talk about post-COVID societies or the Ukraine war.