It’s no surprise that Polaris Market Research believes the global artificial intelligence market has already reached $308.49 billion and expects it to jump to $3.6 trillion by 2034.

This technology has been making waves across almost every sector, and email marketing is no exception. And this has become even more pronounced as generative AI shifts the focus from broad segmentation to something far more nuanced.

The days when marketers relied solely on grouping audiences by demographics are gradually passing away. Well, much as that approach worked to some extent, it often led to messages that felt generic. But today’s users may not stay connected if you only offer generic experiences. In fact, according to SuperOffice CRM, you might end up losing about 7 in 10 (72%) customers who only interact with personalized messaging.

And this is especially noticeable in areas like LinkedIn B2B lead generation, where outreach depends heavily on precision and understanding. Thankfully, marketers are not entirely without hope. AI tools can help shape emails that feel tailored to users’ preferences, making communication more intentional without adding to the workload. And if you want to learn more about how this is happening in practice, then you’ve just come to the right place.

Tailoring content to regional preferences

Did you know that, according to ELAN Languages, you risk losing up to 40% of potential customers if you don’t provide content in their mother language? This is not a loss you want to endure, especially now that acquiring new customers is becoming super challenging. Invesp recently released a report claiming that you may need at least 5 times as many resources to acquire a new customer as to retain an existing one.

That’s a big part of why many marketers are using AI to localize their email campaigns. And this is not just about translating copy into other languages; it also involves adapting to cultural references and other aspects that resonate with your target audience. A direct translation might get your message across, but it won’t always capture context in a way that feels natural to the reader. But when everything, from content to tone, is localized, you begin to see a noticeable shift in how audiences respond.

Generative AI is handy here because it can process vast amounts of behavioral and contextual data much faster than any human team could. It looks at:

• How users interact with past emails
• What kind of content they click on
• When they’re most active
• And even the type of language they respond to.

From here, it helps to craft both culturally aware and personally relevant messages.

Content at scale without losing the human touch

Localization goes beyond just language or geography. Even within the same region, preferences can differ significantly. Some users respond better to a more formal tone, while others engage more with conversational messaging. Imagine what it might cost you to cater to all these preferences. Well, humanly speaking, it would be almost impossible to manage at scale without stretching your team thin.

But thanks to Generative AI, what used to take entire teams can now be done in hours. In fact, according to Geysera, only 6% teams now need more than two weeks to produce campaigns, which is a sharp drop from about 62% in 2024. It’s now possible to create multiple versions of the same email without rewriting everything from scratch. And this can happen without sacrificing either quality or quantity.

Imagine a scenario where a business wants to send a simple product launch email. Traditionally, it had to send a single version to the entire list, tweaking a few lines for different segments. But with generative AI, you can adjust that single campaign into several variations. One subscriber might receive a straight-to-the-point message while another gets a more narrative-driven email. Interestingly, when subject lines alone are adjusted to match different preferences, they can, according to DigitalApplied, increase open rates by up to 95%.

Smarter timing, smarter strategy

The other side of personalization is timing. It’s not every time that your audience is ready to engage. You could have the most compelling copy sitting in someone’s inbox, but if it arrives at the wrong time, it’s likely to be ignored. Think of it this way: part of your target audience lives on the US West Coast, while the other one is in Asia. If you sent one email to both of them at 10 AM EST, those in Asia would likely receive it at a completely inconvenient hour, possibly even while they’re asleep.

This is why marketers now use predictive analytics to determine the best moment to reach each recipient. With an AI system, they can determine when users are more likely to open emails and even how user behavior changes over time. As a result of implementing this approach, marketers can improve open rates by up to 23%, says The Pedowitz Group.

Given such statistics, it’s easy to see why more marketers are turning to generative artificial intelligence. After all, gone are the days when people were okay with receiving generic emails. Nowadays, they want the communication to feel more intentional and targeted. And when you consider how crowded inboxes have become, it starts to make even more sense why relevance has become the real currency of email marketing.