There are tons of benefits to using AI for ecommerce email marketing. You can use it to draft your emails, recommend segments, create automations in minutes, track deliverability, plan your calendar and even improve your performance month after month. But most e-commerce brands are stuck. They haven’t gone beyond using it to draft generic emails. And that’s why they’re not seeing results. They’re using AI for one task when it can do so much more.
Rachel’s always been an innovator. As the CMO of a mid-sized e-commerce store selling premium pet food, she’s always eager to improve the performance of their email list. She has a full-time email marketing specialist writing the emails to their list of 80,000 subscribers, and they mail at least five times a week.
Their open rates sat at around 30% and their click rates just below 1%. Average for most lists, but Rachel knew they could do better.
She knew they should segment their list by purchase history and engagement, cleaning the list every quarter, planning each campaign based on what had worked before and creating new automations.
She knew what they should be doing. But finding the time to do all the tasks well was another matter.
Rachel’s situation mirrors that of most e-commerce email marketers. She knows what needs doing, but she doesn’t have the capacity to implement everything to a high standard.
How Are Most E-commerce Brands Using AI for Email Marketing Right Now?
Most e-commerce brands are using AI badly. Mainly because they don’t know how to prompt it to get the best outputs.
The most common approach is to paste a product description into Claude or ChatGPT, ask it to write a promotional email, do a quick read-through and then hit send.
The AI writes the emails in minutes. They sound professional. They don’t have any grammatical errors; they appear to make sense; and using AI to write all the emails allows ecommerce marketers to double how many they send a week.
But higher frequency at lower quality doesn’t result in more sales.
When the emails you send are generic, repetitive and are emotionally flat, fewer people are going to respond. Many more may unsubscribe.
| According to a Litmus survey, improving engagement and drawing useful insights from data are the two biggest challenges email marketers face in 2026. Both can either be solved or sabotaged by how you implement AI. |
The brands getting the best results from using AI for ecommerce email marketing aren’t using it to do less work. They’re using it to augment the talents of their existing team and to do far more than merely writer emails.
6 Ways to Use AI for Ecommerce Email Marketing
Running an email programme properly requires many different hats. And you’d normally need an entire team to run a list of 50,000 or more.
But innovative ecommerce companies are now discovering how AI can do a lot of the grunt work, with an AI email marketing specialist to provide the oversight and final polish.
Here’s what running email campaigns for ecommerce brands looks like when you have AI augmenting your email marketing specialist’s efforts:
Role 1 – Email Copywriter
Feed the AI your best-performing emails: the ones with the highest open rates, most clicks, best revenue per send.
The AI then learns your tone, your sentence rhythm, the structures that have worked for your audience, your unique perspectives and the language you use.
The more data you feed it, the better the AI gets at producing drafts.
Whatever the AI produces then gets edited by the email marketing specialist. This is because even with the best voice prompts, the AI is still writing the emails based on patterns, rather than conscious thought. It’s still writing according to an algorith, resulting in repetitive language, hedged phrasing and emotional flatness.
This is why you still need an email marketing specialist to humanize the AI’s drafts.
For the specific prompts that will improve AI’s output, see my guide to AI email marketing prompts for e-commerce.
Role 2 – Segmentation Strategist
Segmentation is essential for maximizing open rates, engagement and clickthroughs and protecting your list’s deliverability. AI can recommend segments to create based on your unique data.
This includes segments for your highest value buyers and VIPs, engaged subscribers most likely to click and people who haven’t opened in months and need sending a winback email.
These days many email service providers (ESPs) now provide AI tools to recommend segments. Or you can upload a subscriber export to your AI or connect it directly with your ESP. You can then ask the AI to identify segments based on purchase history, engagement level and recency. And start sending the right email to the right recipient at the right time.
| Data Compliance Warning – Always check with your legal and compliance team before connecting an AI tool to your ESP or uploading a file of your customer data. There are strict rules about sharing customer data with large language models (LLMs). Without the right plan and agreements in place, sharing customer data poses severe compliance risks. |
Role 3 – Automation Builder
Automations allow you to generate revenue from your list on autopilot. At the least, every ecommerce brand should have a welcome sequence, an abandoned cart flow and a winback series.
Building these sequences used to mean briefing a copywriter, reviewing multiple rounds of copy, then loading everything into the ESP manually. However, with AI all you need to do is share details about your brand, your products, your customers and what to say in each email.
The AI will then draft the full sequence for you. Your email marketing specialist then only needs to review and refine the sequence before setting it up in your ESP.
The next step is then allowing the AI to track and optimize your automations over time. Because automations should never be set-and-forget sequences. A welcome flow that converted at 4% when you built it two years ago may be running at 1.5% today.
This is why smart ecommerce marketers are using AI to monitor their automations and to flag when something needs updating. This way you can continuously improve your automations, which can significantly boost your email revenue and bottom line.
Role 4 – Deliverability Monitor
Nobody worries about deliverability until emails start getting dumped into spam.
Your deliverability problems may have been mounting for months: quietly accumulating complaints, your sender reputation dropping and revenue leaking with every send.
There are early warning signs you can watch out for. The problem is that catching them manually requires someone to be looking at your data every week, not just when something feels off.
AI can be that watcher. AI can be setup to watch your deliverability metrics around the clock: monitoring bounce rates, spam complaints, engagement trends and list hygiene threats.
The AI can then flag these problems before they become expensive deliverability disasters.
For a list of 50,000 subscribers, catching a deliverability issue two weeks late may cost you tens of thousands of dollars. Catching it early with AI costs almost next to nothing.
Role 5 – Calendar Planner
Done manually, planning a monthly campaign calendar takes hours. You have to check your data of past campaigns, think of fresh angles for the emails and then prompt the AI to draft each one.
The whole process can be accelerated with AI. With Claude Code, you can build an app that creates the monthly calendar for you. It can plan your entire month’s calendar based on your past performance data: which angles have driven the most sales, which sequences do the best and which products havent you promoted recently. Even better, the AI can then draft all the emails. And the calendar improves, month after month, the more data you feed Claude Code.
Role 6 – Performance Analyst
Every email you send produces data. This includes data on click rates, unsubscribes, revenue by segment and the performance of your automations. But most ecommerce companies only look at the headline numbers on their ESP’s dashboard and move on. Almost none use their data to continuously improve their performance.
When you feed Claude Code your data, it can produce campaign reports to the same standard as a world class data analyst. It can tell you what happened, why it happened and what to change.
The advice Claude Code can provide includes which subject line structures keep outperforming the others and why, which automation step is costing you the most revenue, which segments to create based on your data and other recommendations that allow you to improve your results, month after month.
Continously improving your results is what makes AI for ecommerce email marketing a business transformative tool. It’s a system that gets smarter the more data you feed it, and offers recommendations impossible to achieve from manual data dashboard reviews.
How to Implement AI Into Your Ecommerce Email Marketing Strategy
When Rachel heard about all the roles Claude Code could assist with, she immediately implemented it across their email marketing strategy.
Her email marketing specialist now uses Claude Code to draft the emails, recommend segments, build automations, monitor list hygiene, plan their calendar and run reports to identify ways to improve performance.
Instantly, they could manage their email list to a much higher standard than before. And fulfil the promise of continuously improving performance through better use of their data.
Within weeks, their open rates and clickthroughs improved; they’d doubled their revenue from automations and their future sends were optimized based on past best performers.
These results weren’t because they were working harder. It was because Claude Code augments her email marketing strategist’s skills while they provide the human judgement to keep everything on track.
The six roles shared in this article are only the start. With Claude Code you can continue building apps and Skills as your list and requirements grow.
If you want to see how Claude Code can improve your use of AI for ecommerce email marketing, apply for a FREE review of your email marketing data. This review also includes a report with recommendations on ways Claude Code can improve your performance month after month:
Request a FREE review of your email marketing data and how to improve your results
Frequently Asked Questions
How do I start using AI for ecommerce email marketing if I’m currently doing everything manually?
Start with using it to write email drafts. It’s the quickest win and needs the least setup.
Before asking the AI to write anything, create a context document covering your customer, your product and your tone of voice. Also include 5–10 emails as examples.
Then attach the context document with your prompt.
Once you’ve got good results from producing email drafts, move to segmentation then build from there.
Is Claude Code better than Klaviyo’s built-in AI tools for ecommerce email marketing?
They do different things. Klaviyo’s AI works within its own platform. Subject line suggestions, send time optimisation, predictive analytics all come from the data it holds on your email list. Its recommendations are useful, but limited to what Klaviyo can see.
Claude Code operates above your ESP’s AI tools. It pulls in data from multiple sources, applies your business context and gets better with every send.
Klaviyo’s AI tools are worth experimenting with. But Claude Code surpasses them at fully harnessing your data and building apps that improve your performance, month after month.
Do I need technical skills to use AI for ecommerce email marketing?
Not for copy, segmentation, calendar or analysis. Those are conversational. You brief the AI, review the output and then apply your judgement and human polish.
The automation and deliverability monitoring roles involve more technical setup, particularly if you want Claude Code to connect directly to your ESP or build custom monitoring apps.
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