Marketing
AI for email newsletters and campaigns
Use AI to plan campaign themes, draft subject lines and body copy, and adapt one message for different customer segments. Give it your best past emails and the details of your offer. A person checks facts, links and tone before sending. Test subject lines against each other instead of trusting the first draft.
Effort:
Low
Time saved:
Often 1–2 hours saved per campaign (estimate; test it)
The problem today
Newsletters slip because writing one takes a full afternoon. When they do go out, the same message goes to everyone, with subject lines picked on gut feeling.
How it works, in plain words
It is like an assistant who has read your best campaigns and can rewrite one offer for different groups of customers.
What goes in: your best past emails, the offer details, the campaign calendar and short descriptions of your segments, not individual customer records.
What the AI does: it proposes a sequence, then writes subject lines and body copy for each email and adapts the message to each segment.
What a person checks: someone verifies prices, dates, links and discount codes, and makes sure the tone fits your brand before anything is sent.
What comes out: approved emails in Mailchimp, Klaviyo or HubSpot, with several subject lines ready for an A/B test.
It cannot predict which subject line will win. Only your own test results show that.
How it could work for businesses like yours
Illustrative examples, not client case studies.
A 6-person fashion e-shop in Athens
They send the same newsletter to everyone once a month. They would split the list into first-time buyers, repeat buyers and lapsed customers, and ask AI for one version of each campaign per group. They would compare opens, clicks and revenue per email with their usual newsletter over three months.
The two-person marketing team of a winery in Nemea
They write to restaurants and to private buyers, and the two audiences need very different messages. They would use AI to draft a harvest and holiday sequence for each audience from one set of facts about the new vintages. They would measure clicks to the e-shop and trade inquiries per campaign.
A 9-person travel agency in Chania
Early-booking offers go out late because writing them takes days. They would draft the full announcement, reminder and last-chance sequence in one afternoon and A/B test the subject lines. A realistic first goal could be sending offers two weeks earlier than last year and tracking bookings that come from email.
How to do it, step by step
Gather what worked. Pull your 10 best emails by open and click rate, plus your offer calendar for the next quarter.
Draft the campaign plan. Ask the AI for a short sequence, such as announcement, reminder and last chance, with the goal and audience of each email.
Write per segment. Describe simple segments, such as first-time buyers or loyal customers, and ask for one adapted version each. Don't paste individual customer records.
Test subject lines. Generate 5–10 options and A/B test two. Most email platforms can send variants to a small part of the list first.
Check before sending. Verify prices, dates, discount codes and links. Read the Greek version aloud to catch unnatural phrasing.
Pilot for one quarter. Track writing time and open, click and unsubscribe rates against the previous quarter.
Tools to consider
Mailchimp: built-in AI helps draft subject lines and content, and A/B testing is simple. Caveat: AI features depend on your plan, and Greek output needs close review.
HubSpot: AI content assistant inside the marketing email editor, linked to your CRM lists. Caveat: it pays off mainly if your contacts already live in HubSpot.
Klaviyo: built for e-shops, with AI-assisted subject lines and segments based on purchase behaviour. Caveat: for a simple B2B newsletter it can be more than you need.
ChatGPT or Claude: good for campaign planning and first drafts. Caveat: give it offers and examples, never your contact list.
Data protection and GDPR
Email marketing is personal data processing, so the usual rules still apply. Send only to people who gave valid consent, or to existing customers where the rules allow it, and keep an easy unsubscribe link. Don't paste subscriber lists, purchase histories or names into general AI chat tools. Use the AI features inside your email platform, covered by its data processing agreement, or work with anonymous segment descriptions. If you build detailed profiles from purchase behaviour at scale, consider a DPIA. When unsure about consent or profiling, check with your DPO or legal advisor.
Mistakes to avoid
Pasting the full customer export into a chatbot to personalize emails.
Sending subject lines that overpromise, which raises unsubscribes and spam complaints.
Changing copy, segment and send time at once, so you can't tell what improved results.