Cyber-Chocolatine

Programming and E-commerce

AI in Email Marketing: When Personalization Feels Like a Script

AI marketing mail has already begun

A few days ago, I received an unusual marketing email.

While I am used to receiving this type of message, I noticed something new in those more recent emails.

They contained a short and accurate description of my company as an introduction.

And they were also written in perfect fluent french.

Hello,

When selling mugs, printed clothing, or prints, good photos really make all the difference. But setting up soft, shadow-free lighting can quickly become time-consuming… especially in a small workspace.

Here are three points that many small studios like yours often mention:
• Too much time spent adjusting lighting for each product
• Backgrounds that don’t render well in photos (too dark / too reflective)
• Uneven lighting on fine details (text on mugs, film grain, print texture)

We often help shops like ElectroCroissant simplify this with lightweight setups: a desktop light tent, a ring light, and a flexible backdrop — all ready to use in 2 minutes.

Which type of shoot takes you the most time? I’d be happy to chat.

The original message in french. You will notice the presence of em dashes, which are little known to humans but widely used by AI.

As you can guess, the Chinese company hasn’t employed someone to search prospects and write a description about my company, ElectroCroissant. Nor did it hire professional translators.

This email was the work of an AI.

An example of an AI marketing mail value chain

Let’s imagine what could be the value chain behind this email.

1. Create a database

  1. AI crawls ElectroCroissant.Art.
  2. AI identify what the website is about, write a little description and gather the contact information of the owner.
  3. AI put all of this in a database.

2. Determining potential prospect

  1. A company wants to do an email marketing campaign.
  2. AI analyze what the potential prospect of this company could be and determine ElectroCroissant.Art as a prospect.

3. Drafting the email

AI write an email based on a template, maybe it also choose the product proposed from a list, then send the email.1

A method that is not yet perfected: still look like a generic marketing email

AI doesn’t make this Chinese company’s marketing email any better.

It is very basic: the only AI drafted part is just the introduction where it described what your company does.

In the end, the mail doesn’t stand out as significantly better or more engaging than the generic ones containing only my shop’s name.

The AI drafted part also sounds robotic and out of place for me. It doesn’t add any value to the commercial proposal.

It even looks hypocritical when it says “I love the idea of…” while just wanting to sell me stuff. And we all know that it is an AI behind the message, which that may this passage sounds strange or even disturbing.

AI has abolished the language barrier

Though, one of the value of AI here is the impeccable translation. If AI is not a great marketer yet, it seems it has already abolished the language barrier.

Getting rid of the sloppy Google translation from Chinese to French definitely makes the company looks more credible.

But of course, if writing without spelling mistakes, the tone is also important.
As with the email marketing shown before, an unnatural tone can generate rejection.

Conclusion: AI is very close to be ready for email marketing

I honestly think that if they had given more freedom to the AI and give it a better prompt, it may have given a much better result. The potential of AI is untapped here.

The future of email marketing is AI drafted email. Those email will be much more personalized and convincing than classic generic ones.
And thanks to the constituted AI database, the targeting will also be much more precise and efficient.

The companies which will master AI for their email campaigns may thus generate more conversions than those who still do it the old way.

The tool is already ready, it only need to be tuned. But that may be the hardest part.

  1. GDPR still applies in Europe. ↩︎

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