Your Online Store’s “People Also Bought” Section Is Smarter Than You Think

If you sell products online, you’re leaving money on the table every time a customer buys one thing and leaves. Cross-sell recommendations — “you bought the cleanser, here’s the moisturizer” — used to require either manual curation or expensive software. Not anymore.

A few tools now handle this automatically, and they’re priced for businesses that aren’t Amazon. Let’s walk through your real options.

What’s Already Built Into Shopify

If you’re on Shopify, you may already have access to product recommendation features. Shopify offers several plan tiers — including a lower-cost Starter plan for basic link-based selling — but the Basic plan (check shopify.com/pricing for current rates) is the lowest tier that gives you a full, customizable online store. That’s the one most small retailers start with.

Once you’re on Basic or higher, you can install Shopify’s free Search & Discovery app to surface “You May Also Like” and related product suggestions based on browsing and purchase behavior.

A couple of caveats: you do need to install and set up the Search & Discovery app (it doesn’t just happen automatically), and how well the recommendations display depends on your theme. Some themes support recommendation sections more smoothly than others.

Third-party apps like ReConvert and Wiser add more specific logic — like showing a post-purchase upsell page triggered by what’s in the cart. These let you get granular without writing a single line of code.

The practical version: if you sell skincare, the system auto-suggests moisturizer to anyone buying cleanser, and the recommendations sharpen as purchase data builds up. That beats a static “staff picks” section that never changes.

Klaviyo Goes Beyond “Blast Everyone the Same Email”

Klaviyo is widely used by small businesses for email and SMS (short message service — text messages) marketing, and its predictive analytics engine does something genuinely useful. It calculates when individual customers are likely to reorder, what their lifetime value looks like, and whether they’re at risk of disappearing.

You can build automated flows that trigger a cross-sell email right when a customer’s predicted purchase window opens, recommending products based on what similar buyers purchased.

Picture a pet supply store: a customer buys dog food, and when the model predicts they’re running low, they get an email suggesting treats or supplements that similar customers also bought. That’s behavior-driven, not just a weekly promo blast.

Klaviyo offers a free tier for small contact lists, then scales with your list size. These thresholds change, so check klaviyo.com/pricing for the current limits. One important note: the predictive analytics features described above require a meaningful volume of order history to work, so they may not kick in until you’ve built up enough customer data — which typically means you’ll need a paid plan and real transaction volume before those features become useful.

A Quick Honesty Check

Here’s something worth knowing: many tools marketed as “artificial intelligence (AI)-powered recommendations” are actually using simpler pattern-matching — “people who bought X also bought Y.” That’s collaborative filtering, not the generative AI behind tools like ChatGPT.

Does that matter? Not really, if it works. The value is real. But we’re not going to pretend your Shopify recommendations are doing anything magical under the hood. Smart automation is still smart, even if it’s not sci-fi.

We also can’t point you to rock-solid return on investment (ROI) numbers from true small businesses. Vendor case studies tend to feature companies already doing significant revenue. The logic behind cross-selling is sound — more relevant suggestions should mean higher cart values — but anyone quoting you a specific percentage lift is probably cherry-picking.

What About Amazon Personalize?

Amazon Personalize is built on the same machine learning technology that powers recommendations on Amazon.com, available on a pay-per-use basis. It’s powerful, but it’s not plug-and-play. You’d need a developer or a middleware tool like Hightouch or Segment to connect your data. If you have 1,000+ products and meaningful transaction volume, it might be worth exploring. For most small shops, Shopify’s built-in tools or Klaviyo will get you there faster and cheaper. Check aws.amazon.com/personalize/pricing for current rates.

*Disclosure: If any links in this post are affiliate links, we’ll mark them clearly. We recommend tools based on fit for small businesses, not commissions.*

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