AI is everywhere these days — and yes, it’s shaking up email marketing too. But what does that look like in real campaigns?
1. Better Email Subject Lines (That Get Clicked)
If you are using any email marketing tool, most of the tools are using AI nowadays. They have built-in AI subject line generators. You can take advantage of them.
AI tools like Mailmodo give you a variety of subject lines in seconds, and they’re impressive.
You can preview how the subject line will look when a user receives the email.
You can use its live test feature, so you can get an idea of how well that subject line might perform.
I checked out Mailmodo after making numerous attempts with other tools that disappointed me. I found Mailmodo, which made me fall in love with the feature of subject lines that ask a variety of questions and generate output as we expect. You should try it once, and currently it is free.
Of course, there are other tools out there, too. You can explore them as well. Even ChatGPT and Gemini can help you come up with better subject lines.
You can take ideas from them, mix in your own thoughts, and create a highly attractive subject line.
If you want a list of email marketing tools with built-in AI subject line generators, just let me know in the comments below.
2. Impressive Personalisation (Way Beyond “Hi, [First Name]”)
AI can segment your audience by behaviour, not just demographics.
AI-driven segmentation analyses user behaviour (not just age/location). It identifies groups such as:
- Loyal repeat customers
- Users who browse but never buy
- Users who clicked but didn’t open again
The best thing is, Most of the email marketing tools like Mailmodo, Klaviyo, and ActiveCampaign offer built-in AI segmentation. No need for separate tools.
3. Send Time Optimisation
Earlier, we used to send emails by guesswork, without knowing the user’s activity or free time. So if the email went out at the wrong time, it often got ignored. And honestly, expecting all users to have the same free time is just not practical.
Some people open emails at 7 AM, others at 11 PM, and some don’t open them at all because their inbox is flooded. In that case, your email just gets missed. Harsh, but true.
Just sending a campaign isn’t enough. If your goal is to grow your business or achieve a specific intention, you have to think from the user’s perspective.
So, what can we do?
So, what if we could know when users are most active and send emails at that exact time? In that case, our emails reach them at the optimal moment, increasing the chances of higher open rates and better conversions
Instead of sending an email blast at 10 AM to everyone, your AI-enabled platform sends it at the optimal time for higher open rates
This feature is built into tools like Mailchimp through ‘Send Time Optimisation’. It analyses past data and picks the best time to send your campaign for better results.
4. Predictive Analytics
What if user behaviour is almost predictable? Like how they engage with our emails — clicks, opens, purchases — and based on those actions, we prepare smarter email workflows.
Advanced segmentation, send times for campaign, purchase history, and automated content creation these factors that help to analyse the user behaviour.
It’s not guesswork anymore — it’s all calculated, based on real data from past campaigns.
We can take action accordingly. What type of email do we send to whom? So we can get the most out of it.
AI can predict who’s likely to unsubscribe, buy, or even ignore you.
You can act before they ghost.
We can take action based on this data, like what type of email to send and to whom, so we get the most out of each campaign.
AI can even predict who’s likely to unsubscribe, make a purchase, or stop engaging.
That means you can act early, before they completely drop off.
How will predictive analysis help us?
If AI predicts that a user is about to unsubscribe, you can send them a re-engagement offer.
If someone’s likely to make a purchase, you can focus on sending them a promo or special deal.
So next time, use the data before sending your campaigns — it really makes a difference.
5. Automated A/B Testing
See, AI is here to help us. If we know how to use it, it’s like having an assistant that works for us, saving time so we can focus on other things.
In traditional A/B testing, we send one version on day one, then test another the next time. After a few weeks — or even a month — we finally figure out which one worked better.
But with AI, A/B testing can happen in real time.
Instead of running one test over a week, AI tests multiple elements at once and automatically switches to the version that performs best.
How it works:
Traditional A/B testing can take days or even weeks to run and analyze.
AI, on the other hand, can test multiple versions — like subject lines, images, or CTA buttons — in real time, and quickly shift traffic to the one that’s performing best.
For example, if version B of your email has a CTA button that performs better, AI will automatically send version B to the rest of your audience.
6. Content Recommendations
AI helps you send the right content to the right person by tracking what they’ve clicked or read before.
Let’s understand this,
If the email campaign contains 3 buttons, as “Read Travel Blogs”, “Fresh recipes”, and “Women’s fashion discount is live”. These are 3 different content categories now, what people are interested in, the more related content they receive.
Let’s say, if someone often clicks on “Fresh Recipes,” AI learns their interest and starts adding more recipe content to their future emails automatically.
These actions will make the user engaged and more personalised.
Bonus: What Smart Marketers Don’t Use AI For (Yet)
Things to note: Take help from AI to boost productivity, but don’t get completely dependent on it.
Original content still holds a special place. The magic happens when you combine the power of AI with your own human touch to create truly standout emails.
Great marketers still:
- Write the final drafts themselves
- Keep brand voice consistent
- Add the human touch where it matters
How do the tools have past data when they’re sending for the first time?
That’s a valid point. If you’re using a tool without AI for the first time, there won’t be any past data. You have to test and experiment, just like in the traditional model.
After a few email campaigns, we were able to understand user behaviour.
Suppose you’ve been sending emails for months through a tool like Mailchimp or Klaviyo.
These tools can analyse your past subject line open rates, click-through rates, and even conversion rates, and you can use that to improve future performance.
In the Case of AI,
AI tools are trained on millions of subject lines from different industries. So they suggest subject lines that usually work well for your kind of audience.
- First campaign → AI suggests subject lines based on industry best practices.
- After 3–5 campaigns → AI starts optimising using your open rates and engagement data.
Final Thought
AI isn’t replacing email marketers; it is helping you better understand the users. If you learn the basics of AI and how it works, then it can boost your productivity to the next level.
It saves your time, increases productivity and customer retention. But make sure you don’t fully depend on it. Fresh things still rock. Combining both human touch and AI can give you surprising results.
So what are you waiting for? Start using AI with email marketing and see the results.
If you have any doubts or want a specific topic explained in detail, let me know in the comments below. I’d be happy to help!
Don’t forget to share your experience with AI. We’d love to hear about your experience.
You May Also Like
Email Marketing Definition, Advantages, Tools & Importance
What is Email Automation? Real-Time Examples