In a nutshell: AI-powered personalised emails achieve open rates of 35-50% compared to 8-12% for generic ones. The winning structure has four elements: a 4-7 word subject line with a hook, a 60-character preheader, an 80-150 word body with a clear idea, and a call to action with a specific verb. The outcome depends on the prompt you give the AI, not the tool itself.
Generic emails typically see an 8-12% open rate and 0.5-1% click. Well-executed AI-personalised emails achieve 35-50% open rates and 5-8% click rates. The difference isn't in the tool you use, but in the prompt you provide.
What's the 4-block framework that works for a commercial email?
Any effective commercial email shares the same underlying structure. Four key components, no more:
- Subject Line: 4-7 words with a curiosity gap or numerical benefit. No emojis.
- Pre-header: 60 characters that complement the subject line, not repeat it.
- Body: 80-150 words maximum, one main idea, a call to action at the end.
- Call to Action: Verb plus specific benefit. No "click here" phrases.
If one of these blocks fails, the rest are irrelevant. A weak subject line kills the open rate before the body even gets a chance.
Which prompt delivers good results?
This works well as a starting point:
"You are a B2B copywriter with 10 years of experience working with Spanish SMEs. Write a 120-word email for [SEGMENT]. Goal: to get them to click [call to action]. Main benefit: [X]. Tone: [Y]. Return only the email, no emojis, no generic greetings."
Change the variables, and you'll get something decent. With two or three iterations, it's ready to send. The key is to be precise with the segment and the benefit: the vaguer you are there, the more generic the outcome will be.
Related reading: Marketing automation for small business.
Why does segmenting your contact base before sending multiply conversion?
Sending the same email to 5,000 contacts is a waste of potential. Dividing that database into 3-4 micro-segments — industry, average transaction value, position in the conversion funnel — and generating a specific variant for each multiplies conversion by 2 to 3 times. With AI, this task can be done in about 30 minutes for a database of 5,000 contacts. It's not magic: it's simply that the message reaches someone who recognises you're speaking directly to them.
Metrics you need to monitor
- Open rate per segment: The target for proprietary B2B databases is between 35-45%.
- Click rate: Aim for 4-7% in commercial emails.
- Conversion rate from click: This depends on the call to action, but it should always be measured.
- Unsubscribe rate: If it exceeds 0.5%, review your segmentation or sending frequency.
If your business has a database of 1,000 contacts or more and you're not actively engaging with it due to time constraints, this is the prime use case for AI with a clear, measurable ROI. At Boomatik, we can set up this automation, integrated with your CRM, in 1-2 weeks.
Related service: Discover our AI tools for marketing.
Frequently Asked Questions
Can AI truly personalise my marketing emails effectively?
Yes. AI analyses large volumes of user data to detect behavioural patterns and preferences. Using this information, it adapts content, offers, and send times, making the message more relevant to each recipient and increasing the likelihood of interaction.
Is it complicated to integrate an AI email marketing tool into my current strategy?
Current platforms are designed for easy integration with your existing setup. Most offer predefined templates and setup wizards, allowing you to launch personalised campaigns in minutes, without needing advanced technical knowledge.
What concrete benefits can I expect from using AI in my email marketing campaigns?
Improved open and click rates are the most visible benefits, but there's more: AI optimises segmentation and automates sending at the optimal time for each user. The practical outcome is higher conversion, a better recipient experience, and less time spent creating and managing each campaign.
Can AI also help me write email content?
Yes. Generative AI creates drafts of text, subject lines, and personalised calls to action based on your brand and campaign objective. It significantly speeds up writing and maintains a consistent tone across sends, freeing up time for more strategic decisions.
What are the advantages of using artificial intelligence to write marketing emails compared to doing it manually?
The main advantage is time-saving: what once took one or two hours to draft can now be ready in minutes. Furthermore, artificial intelligence tools suggest subject line variations, adjust the tone according to the audience, and reduce consistency errors. They also allow you to test multiple versions of the same message without extra effort, which is tedious to do manually. The result isn't always perfect on the first attempt, but it provides a solid foundation that a human copywriter can refine quickly.
Do I need technical knowledge to create an email template with artificial intelligence?
No. Most current tools operate using natural language instructions: you describe the email's objective, the recipient type, and the desired tone, and the tool generates the text. There's no need for programming knowledge or design experience. However, it's advisable to dedicate a few minutes to reviewing the result, correcting specific details like prices or dates, and ensuring the message reflects your brand's true identity before sending it.
How can I ensure that AI-generated emails don't sound artificial or impersonal?
The trick lies in the instructions you give the tool. The more detailed they are, the better the outcome. Specify your company name, industry, target customer type, and examples of your usual tone. After getting the draft, review any overly generic phrases and replace them with concrete references to your product or service. Adding a specific detail, such as a date, a name, or a real-life situation, immediately makes the email more credible and relatable.
How often should I send marketing emails to avoid overwhelming my subscribers?
There's no universal frequency, but as a reasonable starting point, one to two emails per week usually works well for most businesses. The most important thing is that each send offers something concrete: an offer, useful information, or a relevant update. If you send emails just to meet a schedule, unsubscribes will increase. Monitor your open rate and subscription cancellations after each campaign: if unsubscribes start to rise, it's a sign that the frequency or content needs adjustment.
