AI-Driven Personalization Trends and Strategies in E-commerce

Illustration of a shopper profile card with viewed and bought products and a Consented tag, connected by a dashed line to a store page titled Picked for you with three product tiles, a green For you chip and a Recently viewed row

Updated September 2026

"AI-driven personalization" sounds like something only giant retailers can afford. In practice, it means showing each shopper what's most likely to matter to them: products related to what they're looking at, what they viewed last time, and emails that fit what they've bought. Much of that is built into Shopify now, and the rest is a small app away.

Here are the five personalization trends worth knowing, what each one means for a Shopify store, and where to start.

Four steps of personalization on a Shopify store, from simplest to most involved: product recommendations with Shopify Search and Discovery, recently viewed products, emails to customer segments with Shopify Messaging, and a consent-first data setup with the cookie banner START SIMPLE, THEN GO FURTHER 01 · ON THE PAGE Recommendations Related and complementary products, free with Search & Discovery 02 · WHILE BROWSING Recently viewed Bring back what they looked at, on every page 03 · IN THE INBOX Emails to segments Past buyers, lapsed customers, one region, via Shopify Messaging 04 · UNDERNEATH IT ALL Consent first A cookie banner and a privacy policy that say what you collect None of these needs Shopify Plus.
A practical order for personalization on Shopify. Each step uses data the store already has.

1. Hyper-personalization: recommendations that fit the shopper

The old approach sorted customers into broad groups by age or location. The newer one looks at what a shopper is doing right now, such as the products they view and add to cart, and what they've bought before, and adjusts what they see.

On Shopify: start with product recommendations. Shopify's free Search & Discovery app powers two kinds. Related products are generated automatically from what's commonly bought together, similar descriptions and related collections. Complementary products are ones you choose, up to 10 per product, to show as "pairs well with" on the product page in compatible themes. Set complementary products for your top sellers first; that's where the effort pays back fastest.

2. Predictive analytics: seeing what customers will do next

Predictive tools estimate things like who is likely to buy again, who is drifting away, and what a customer might want next. For a small store, the useful version is simpler than it sounds: find the customers who haven't bought in a while and give them a reason to come back.

On Shopify: customer segments do most of this. Build a segment such as "bought once, more than 90 days ago" or "spent over $200", and new customers who match are added automatically. You can then send a campaign to that segment from Shopify Messaging, picking it in the To field. Shopify's help centre suggests the same uses: product recommendations based on purchase history, re-engaging lapsed customers, rewarding loyal ones and region-specific offers.

3. Omnichannel personalization: one customer, every channel

Shoppers move between your online store, social media, email and, for some stores, a physical shop. Omnichannel personalization means they're recognized along the way instead of starting over each time.

On Shopify: this comes largely for free when you sell everywhere through Shopify. Online orders, Shopify POS sales and customer accounts share one customer record, so a segment built on purchase history includes in-store buyers too. The practical step is to collect email consent at checkout and at the till, so you can reach people wherever they bought.

4. Privacy-first personalization: earning the data

Personalization runs on customer data, and customers are more careful about who has it. The trend is toward first-party data (what people do on your own store) and zero-party data (what they tell you directly, like their size or skin type), collected with clear consent.

On Shopify: go to Settings → Customer privacy and set up the cookie banner. New stores have automated privacy settings on by default, which show a banner to visitors from the UK and EEA if you sell there, and you need a published privacy policy before the banner can be used. Then ask for zero-party data where it helps the shopper: a quick size question, a skin type preference, or a birthday for a birthday discount. People share more when they get something useful back.

5. Real-time personalization: content that follows the visit

Real-time personalization changes what's on the page during the visit: a homepage that remembers the category someone browsed, or a reminder of the products they looked at.

On Shopify: the easiest version is a recently viewed products row, which brings back the things a shopper already showed interest in. Many themes don't include one, so it usually comes from an app. Ours, Social Proof, adds recently viewed products that follow the customer across devices, plus live activity such as recent purchases, all from your store's real data (Social Proof on the Shopify App Store).

Worth knowingPersonalization only works if your product data is good. Clear titles, complete descriptions and accurate categories feed Shopify's related products and, increasingly, the AI shopping assistants that recommend products outside your store. Our piece on making products AI can understand goes into this.

Where to start

  1. Install Search & Discovery and set complementary products on your ten best sellers.
  2. Build two customer segments, lapsed customers and repeat buyers, and send each one an email this month.
  3. Check your cookie banner and privacy policy.
  4. Add recently viewed products if your theme doesn't have them.

For more on which AI features are worth your time, see where to start with AI on Shopify. If you'd like help setting up any of this, talk to us.