Every time someone buys from your online store, they’re telling you what they like. Most small businesses send the same email to everyone anyway.
Personalized product recommendations — those “you might also like” suggestions — used to typically require enterprise software costing hundreds of dollars per month and a developer to wire it up. That’s not the case anymore. The email platforms small retailers already use now have artificial intelligence (AI) baked in that handles this automatically, often at little or no additional cost.
Here’s what’s actually available right now.
Three Tools That Do This Today
**Klaviyo** is probably the lowest-friction starting point if you run a Shopify, WooCommerce, or BigCommerce store. Its AI engine pulls your product catalog and customer purchase history automatically, then populates emails with personalized product suggestions unique to each recipient. You set up a post-purchase flow once, and it runs. Klaviyo has a free tier for up to 250 contacts, but AI-powered product recommendation blocks may require a paid plan — check their current pricing page before you commit. Paid plans start at $20/month for 251–500 profiles, though Klaviyo has adjusted pricing multiple times, so verify the latest.
**Mailchimp** offers a drag-and-drop “Product Recommendations” content block on its Standard plan. You build one email, insert the dynamic block, and different recipients see different products based on their order history. Same send, different content per person. No code, no segmentation spreadsheets. Standard plan pricing has changed several times in recent years — as of this writing, expect to pay around $20/month for 500 contacts, but check Mailchimp’s pricing page directly for the current number.
**Shopify Email** is worth a look if you’re already on Shopify and don’t want another platform. Shopify includes a free email allocation each month for merchants on paid Shopify plans, with a per-thousand overage fee after that — check Shopify’s current pricing page for exact numbers, as these details have shifted. Shopify Magic — their AI suite — can generate subject lines, body copy, and product suggestions based on customer segments. You group buyers by past purchase category (say, “bought running shoes”), and it drafts a recommendation email featuring related items from your catalog. Everything stays in one place.
All three options are priced for small businesses, not enterprise budgets. Expect to pay somewhere between $0 and $20/month depending on your contact list size and which features you need.
The Honest Caveat
AI-driven recommendations need data to work with. If you have 50 customers and 12 products, the AI doesn’t have enough purchase and browsing history to learn meaningful patterns.
For very small catalogs or customer lists, you’ll likely get better results from manually curated “staff picks” segmented by customer type. The AI gets smarter as your data grows — it’s not magic on day one.
Also, a transparency note: vendors like Klaviyo and Mailchimp publish case studies claiming specific revenue increases from personalized recommendations. Those are self-selected success stories, not controlled experiments. The features work as described, but take the specific percentage-lift claims with a grain of salt.
What Makes This Different From Five Years Ago
The capability isn’t new. Amazon has done this forever. What’s new is that it’s now a toggle or a drag-and-drop block inside tools priced for small businesses — not a massive enterprise contract requiring a data science team.
You don’t need to understand how the recommendation algorithm works. You need to know that it reads your customer data and picks products they’re more likely to want. That’s it.
Your One Next Step
If you sell products online and send email to more than 250 customers, check whether your current email platform already has AI product recommendations built in. Klaviyo, Mailchimp, and Shopify Email all do. You might be one settings toggle away from emails that actually reflect what your customers have already told you they want — and the cost to find out is a few minutes on your platform’s pricing page.