{"id":14668,"date":"2024-03-18T16:32:28","date_gmt":"2024-03-18T12:32:28","guid":{"rendered":"https:\/\/www.cs-cart.com\/blog\/?p=14668"},"modified":"2025-09-11T13:24:00","modified_gmt":"2025-09-11T09:24:00","slug":"benefits-of-ai-driven-personalization-in-email-marketing","status":"publish","type":"post","link":"https:\/\/www.cs-cart.com\/blog\/benefits-of-ai-driven-personalization-in-email-marketing\/","title":{"rendered":"Benefits of AI-Driven Personalization in Email Marketing"},"content":{"rendered":"\n

It\u2019s the purpose of every product and service to satisfy the needs of its buyer. If a product\/service can feel like it was hand-made for their task\/problem, it will fulfill its purpose and convert everyone it\u2019s promised to<\/strong>.<\/p>\n\n\n\n

The problem is that you can\u2019t make an offer for a single user. At least, you couldn\u2019t in the past. With modern AI-driven personalization<\/strong>, you can tailor messages to fit the needs of a single user for almost every user. <\/p>\n\n\n\n

In the past, the closest you could come to this was the market segmentation and targeted email marketing campaign. This is no longer the case. Today, you have a chance to speak to each individual user as if the entire campaign was made just for them.<\/p>\n\n\n\n

Here\u2019s how this is done and why this is so game-changing<\/strong> in the field of marketing.<\/p>\n\n\n\n

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<\/span>1. AI insights<\/span><\/h2>\n\n\n\n

The first part of the role of AI in this field lies in advanced segmentation methods based on the careful analysis of your customer base. Now, to translate this sentence\u2014AI is there to give you (or your email marketing automation tool) an idea of who you\u2019re talking to.<\/p>\n\n\n\n

Through your customer relationship management (CRM)<\/a> platform, you can easily gather all your customer information.<\/p>\n\n\n\n

Imagine having an AR display that gives you all the information about every person you meet. You talk to someone, and you can see all the important data about your previous interactions, their interests, their habits, and even things you heard about them indirectly. How easy would it be to persuade this person to do business with you? How easy would it be to leave this run-in with them having a much better impression of you?<\/p>\n\n\n\n

Now, AI insights do more than just give you data. They also filter all this data and compute them in order to refine them into actionable information<\/strong>. <\/p>\n\n\n\n

Remember an interaction where you go to the store and look at a few items. You don\u2019t buy anything, you don\u2019t even add it to the shopping cart, but a few weeks later, you get an email telling you that this exact item that you\u2019ve been looking at is on -40% sale.<\/p>\n\n\n\n

By collecting AI insights at scale with an automated data integration platform<\/a> like Windsor.ai, you\u2019ll get even more information<\/strong>. Now, you\u2019re not just tracking the pages they visit (and how long they stay there). You\u2019re also tracking their scrolling and mouse movement patterns. Then, you apply complex user behavior algorithm analysis patterns just to get what you\u2019re looking for. These insights are powered by modern AI tools for eCommerce<\/a>, allowing marketers to predict and respond to customer needs with unprecedented accuracy.<\/p>\n\n\n\n

\"ai
AI collects information from different sources<\/figcaption><\/figure>\n\n\n\n
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<\/span>2. Platform-specific strategy<\/span><\/h2>\n\n\n\n

Every email marketing strategy starts with the creation of an email list. Now, while you can buy the list and clean it using email verification tools<\/a>, the effect will never be quite the same as when you organically<\/strong> grow it.<\/p>\n\n\n\n

Why?<\/strong><\/p>\n\n\n\n

Well, the simplest answer is that people who agree to give you their email, subscribe to your newsletter, or just outright do business with you (and give you their email in the checkout process<\/a>) are already qualified leads<\/strong>.<\/p>\n\n\n\n

Ideally, you wouldn\u2019t use just<\/strong> one<\/strong> method<\/strong> of gathering these emails. You would have multiple strategies, each of which would be exclusive to a single venue, channel, or platform. Getting emails for your list can take place on Instagram or TikTok, but it can also develop naturally through word-of-mouth or via online events like webinars. You should definitely learn more<\/a> about these options and use lead qualification software<\/a> in order to get the most value out of your campaign.<\/p>\n\n\n\n

Still, why do you have to do this organically in the first place?<\/strong><\/p>\n\n\n\n

Just think about it as sending a DM to someone you follow on Instagram. There\u2019s a much higher chance of a positive response (or a response in general) if you send the message to someone you already know in person. While the situation is not exactly the same, the equivalency is clear enough.<\/p>\n\n\n\n

If you gather these emails organically, they\u2019re more likely to open an email or engage with it<\/strong>. Even with the best possible subject line and the optimal email design (and content), there\u2019s only so much you can work on its appeal.<\/p>\n\n\n\n

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<\/span>3. Ethical considerations and challenges<\/span><\/h2>\n\n\n\n

Your salespeople’s competence was always seen as part of the game. If you can convince someone to buy, as long as you haven\u2019t deliberately misled them or made false promises, you\u2019re in the clear. No one will be taken seriously after a claim that the person they were talking to was \u201cjust too convincing.\u201d<\/p>\n\n\n\n

Alas, this is not the case when it comes to AI personalization. You see, with a good enough algorithm, the AI will sometimes know us better than we know ourselves<\/strong>. Not only that, but this analysis relies on customer data. While compliance guidelines are pretty clean-cut, the truth is that AI needs more data. <\/p>\n\n\n\n

Why?<\/strong><\/p>\n\n\n\n

Well, because of the incredible computing power and amazing analytics, these tools can actually use data that other tools would deem insignificant. <\/p>\n\n\n\n

This also creates a dilemma regarding the legality and regulation of handling customer data. Jurisdictions sometimes overlap, and ensuring that you work within the bounds of the law is never easy. <\/p>\n\n\n\n

For instance, even as a USA-based business, you might need to abide by GDPR<\/strong> as long as you\u2019re working with partners and clients from the EU. In this scenario, you have a lengthy USA GDPR compliance checklist<\/a> to go through before you\u2019re completely safe on this front.  <\/p>\n\n\n\n

Another ethical consideration is the fact that most of the time, your audience won\u2019t be able to tell that the message is by AI<\/strong>. This feels like cheating on the Turing test, and while there\u2019s no real difference, one of the questions that often arises is whether you have an obligation to let them know anyway.<\/p>\n\n\n\n

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<\/span>4. Four-stage personalization<\/span><\/h2>\n\n\n\n

The key thing to remember is that this content personalization is systemic. This means that the system works according to a predictable set of rules that you can adjust to your own strategy. Generally speaking, the personalization takes place in four stages.<\/p>\n\n\n\n