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Expert Answer • 2 min read

How do I personalize product recommendations?

As an e-commerce store owner, I'm struggling to effectively personalize product recommendations for my customers. My current approach feels generic and doesn't seem to increase conversions or average order value. I want to understand how to leverage customer data, browsing behavior, and purchase history to create more targeted, intelligent product suggestions that actually drive sales and improve customer experience. What strategies and technologies can help me move beyond basic 'customers also bought' recommendations?
Muhammed Tüfekyapan

Muhammed Tüfekyapan

Founder & CEO

2 min

TL;DR - Quick Answer

Use purchase history, browsing behavior, and product affinity data to recommend relevant items. Collaborative filtering ('customers like you also bought') is the most effective technique, and Shopify has built-in tools plus several apps to implement it.

Complete Expert Analysis

How to Personalize Product Recommendations

Personalized recommendations outperform generic bestseller lists by 3-5x. When customers see products genuinely relevant to them, click-through rates and average order values both increase significantly.

Recommendation Strategies by Data Availability

StrategyData RequiredBest Placement
Collaborative filteringPurchase history across all customersProduct pages, cart, thank-you page
Recently viewedCurrent session browsingHomepage, product pages
Category affinityPast purchases by categoryEmail, homepage for returning visitors
Trending in categorySales velocity dataNew visitors with no browsing data
Complementary productsManual curation or AICart, post-purchase

Implementation on Shopify

Shopify native recommendations

Shopify's built-in recommendation engine uses purchase data to power "You may also like" sections. Free, automatic, decent performance.

LimeSpot, Recart, Rebuy

Third-party recommendation engines with more sophisticated AI, A/B testing, and placement options. Better performance for stores with large catalogs.

Email personalization

Klaviyo and Omnisend both support purchase-history-based product recommendations in flows and campaigns.

Personalized Recommendations in the Cart

Growth Suite's Advanced Cart Drawer includes AI-powered product suggestions based on current cart contents and purchase history. These suggestions appear contextually as items are added - the moment when customers are most open to relevant additions. Combined with Frequently Bought Together, the cart becomes an active merchandising surface rather than just a checkout staging area.

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Muhammed Tüfekyapan

Muhammed Tüfekyapan

Founder & CEO of Growth Suite

With over a decade of experience in e-commerce optimization, Muhammed founded Growth Suite to help Shopify merchants maximize their conversion rates through intelligent behavior tracking and personalized offers. His expertise in growth strategies and conversion optimization has helped thousands of online stores increase their revenue.

E-commerce Expert Shopify Partner Growth Strategist

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