MarketingeCommerce Personalization: 6 Simple Strategies to Skyrocket Conversions
Personalizing your buyers journey is a fantastic way to boost conversions. Discover 6 simple ecommerce personalization tactics to try today.
Product recommendations are one of the most effective ways to boost sales without incurring additional advertising costs.
Think about it: product recommendations account for 35% of Amazon’s revenue, and the same strategy works beautifully on Shopify.
Yet most stores either overdo it or miss the mark entirely, turning a revenue-boosting tool into white noise.
The good news? With a few smart tweaks, you can use product recommendations to improve AOV, customer experience, and retention without being annoying or pushy.
This guide shows you how to do it right.
You'll learn what product recommendations are, why they matter, and how to deploy them at every stage of the customer journey using strategies and real-world examples.
Whether you're a Shopify store owner, CRO, or eCommerce agency, this one’s for you.
Let’s jump in.
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Product recommendations are curated suggestions that help shoppers discover additional items they’re likely to buy.
On Shopify, they’re typically displayed on product pages, cart pages, checkout, post-purchase flows, and the thank-you page.
They come in two main forms:

You’ve probably seen phrases like:
Product recommendations can be upsells (a better version of the product) or cross-sells (related products). Either way, the goal is to increase average order value and help customers find what they want faster.
Product recommendations aren’t just a nice-to-have. They directly influence purchase behavior and customer satisfaction.
Here’s why they matter:
A study by Barilliance found that personalized product recommendations can increase conversion rates by up to 31%. Even small tweaks, like recommending add-ons, can have a measurable impact.
For stores with high SKU counts or those seeking to maximize every session, product recommendations are a no-brainer for boosting your conversion rate.
Let’s break down exactly where and how to implement recommendations, from the product page to the thank-you page, so you can optimize every step of the buying experience.
Each placement serves a unique purpose and offers different types of value.
Your product page is a critical moment in the shopper journey. It’s where interest becomes intent, and it's also one of the best places to introduce smart, relevant cross-sells.
To make product page recommendations work, follow these principles:
On the product page for the TUSHY Classic 3.0 bidet, customers see a section titled “Perfect Your Routine” featuring two complementary items: the TUSHY Travel handheld bidet and the TUSHY Ottoman stool.

These aren’t upsells - they’re useful, relevant accessories that complete the experience.
Why this works:
Tips to replicate this approach:
By focusing on what makes the customer’s life better, not just what increases your cart size, you’ll drive more conversions and leave your customers feeling understood.
📖Suggested Reading: How Tushy used ReConvert's product recommendations to generate an extra $191,786/mo.
The cart page is one of the most overlooked but powerful touchpoints for product recommendations. At this stage, customers are already committed to buying; your job is to gently nudge them toward adding more.
Here’s how to do it effectively:

Cosmetic brand Native does cart upsells masterfully. When a customer adds a product to their cart, a slide-out cart drawer appears with a subtle progress bar: “Only $5 away from free shipping.”
Just beneath that is a “Others also liked…” product recommendation for Liquid Hand Soap at $6- a low-cost, relevant item with a clear “Add” button next to it.
This recommendation hits multiple conversion levers:
Tips for replicating this strategy:
This kind of smart, contextual nudge doesn’t just raise AOV, it reinforces a sense of care and intentionality in your shopping experience.
The checkout page is all about sealing the deal, so any recommendation here needs to feel like a helpful nudge, not a sales pitch. Done right, it can be the most elegant form of upselling.
The key is subtlety:
For example, Fussy, a natural deodorant brand, makes its checkout upsell feel like a bonus, not a burden.

After qualifying for a free gift, customers are invited to select add-ons like the Mini Trio Variety Pack for £10, displayed alongside gifts and order info in a tidy sidebar.
Why this works:
Best practices to emulate:
Checkout upsells should feel like a favor, not a trap. That’s what makes Fussy’s approach so effective: it blends commerce with customer delight in a frictionless way.
The post-purchase page is one of the most underutilized conversion opportunities in eCommerce.
In fact, figures from ReConvert users show that post-purchase upselling resulted in a 5.6% uplift in average order value.
And this makes sense. The customer has just placed an order. They’re feeling great about it. And they’re still in buying mode.
So it’s a perfect moment to recommend a complementary product or give them a chance to buy again with a sweet deal.
Here’s what makes a great post-purchase upsell:
In this example, powered by ReConvert, the shopper completes their order and lands on a customized post-purchase page that immediately displays a relevant offer: “Grab another for 25% OFF!” along with a countdown timer and 1-click add-to-order button.

Why this works:
Pro tips to optimize your post-purchase recs:
With ReConvert, it’s easy to set this up with a drag-and-drop builder and conditional logic. The result? More revenue from every customer, with no extra traffic required.
Most stores treat the thank you page like a dead end, but it’s actually a prime opportunity to drive re-engagement and repeat purchases.
The shopper has just placed an order, feels good about it, and is still in a buying mindset. That moment of post-purchase euphoria is the perfect time to make a subtle, personalized recommendation.
Here’s what makes it work:

In this example, the thank you page features a “Frequently bought together” block and a personalized carousel of suggested products, paired with a countdown timer and discounted pricing. It’s clean, clearly structured, and presents value right away without interrupting the post-purchase flow.
Why it works:
Best practices for thank you page recs:
Upsell.com helps you increase AOV with targeted offers across the full shopping journey, from product and cart to checkout, post purchase, and beyond.
With tools like ReConvert, your thank you page can function as a high-converting post-purchase funnel, not just a receipt.
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Let’s quickly cover some more Shopify product recommendations examples so you can se ehow some of the best Shopify stores out there are implementing their recs.
ALO layers in product recommendations at multiple key moments, creating a seamless, shopper-friendly flow. Starting on the homepage:

On the product page itself, the “Shop the Look” section suggests the entire outfit, visually connecting style pieces to inspire higher-value carts.

After adding an item to the cart, customers see a “Pairs Great With” upsell pop-up, offering coordinating products without interrupting the experience.

Huel delivers a textbook example of a full-funnel recommendation strategy that flows from product page to checkout.

After an item is added, a popup suggests complementary products under categories like “Complete your morning routine” and “Snacking made healthy.”

In the cart drawer, the “You’ll love this” module nudges users with another low-friction add-on,

By the time customers reach checkout, Huel encourages range discovery with a low-ticket “Grab a sample on your way” cross-sell.

Kylie Cosmetics uses a subtle cross-sell module directly under the product description to suggest a complementary product: a sugar lip scrub to go with the lip butter.

Once a customer adds a product to cart, they’re served another cross-sell offer using a ‘before you go’ cross-sell module in the cart drawer.
Just below the fold, Gymshark features a “Get the Look” section with all the pieces shown in the model's outfit. Shoppers can add everything in one click, making it perfect for boosting bundles and AOV.

Once you add an item to your bag, Gymshark serves up “People Also Bought” recommendations based on real shopper behavior. This social-proof-driven placement encourages extra purchases before checkout.

Finally, Gymshark uses a “You Might Like” section to highlight similar items right at the bottom of the product page. It’s clean, visual and doesn’t distract from the main item, making it easy to explore alternatives.


Everlane’s cart drawer features an “Update Your Wardrobe” section that recommends coordinating pieces alongside the selected item. It blends seamlessly with the cart experience and positions the recommendations as natural extensions of the shopper’s style choices.

Allbirds integrates a “You might also like” block into the checkout sidebar, offering low-friction add-ons like bags that align with the shopper’s purchase. The layout keeps the focus on completing the order while giving customers one last relevant nudge.
Adding product recommendations to your Shopify store is easier than you might think -and you don’t need a developer to do it.
Whether you want to show “You may also like” on your product page or add AI-powered suggestions, Shopify gives you a few native options right out of the box.
Here’s how to do it step by step:
From your Shopify Admin:




Once saved, view a product page to see the recommendations in action. Shopify’s native engine uses behavioral data and purchase patterns to display relevant items - no manual setup required.

Bonus Tip:
If you want more control - like logic rules, upsell funnels, or post-purchase offers - you’ll want to use an app like ReConvert. But for simple recommendations, Shopify’s native block is a great place to start.
Product recommendations are powerful, but only when they’re done right. Get them wrong, and you could end up annoying your customers, tanking conversions, or worse, leaving revenue on the table.
Here are the most common mistakes we see (and how to avoid them):
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