Personalized Recommendations

Personalized recommendations take product suggestions to the next level by creating specific product-to-product relationships. This guide shows you how to set up custom recommendation rules that show the perfect products for each item in your store.

What are Personalized Recommendations?

Unlike general product recommendations that show the same products everywhere, personalized recommendations let you define exactly which products should be recommended when a customer views a specific product.

Example:

• When viewing Blue Running Shoes, recommend: Running Socks, Sports Water Bottle, Fitness Tracker
• When viewing Laptop, recommend: Laptop Bag, Wireless Mouse, USB-C Hub

This level of control ensures highly relevant suggestions for every product.

Accessing Personalized Recommendations

1. Navigate to Product Recommendation in the main menu
2. Click the Personalized tab
3. You’ll see your list of personalized recommendation rules

Creating a Personalized Recommendation

Step 1: Select a Source Product

The source product is the product that triggers the recommendation.

1. Click Create Recommendation
2. Click Select source product
3. Search and select a product from your catalog
4. The selected product appears with its image and details

Source Product: The product page where recommendations will be shown.

Step 2: Add Recommended Products

Choose which products to recommend when customers view the source product.

1. Click Add Products
2. Search and select multiple products
3. Products are added to the recommendation list
4. Drag and drop to reorder by priority

Step 3: Arrange Priority

The order of products determines display priority:

• First position: Most prominent placement
• Lower positions: Shown if space allows

Drag the handle icon to reorder products.

Step 4: Save

Click Save Recommendations to create the rule.

Managing Personalized Recommendations

Recommendation List

View all personalized recommendations with:

Editing Recommendations

1. Click on a recommendation
2. Modify source product or recommended products
3. Reorder products as needed
4. Save changes

Enabling/Disabling

Toggle the status switch to quickly enable or disable rules.

Deleting

Click the delete icon and confirm to remove a recommendation rule.

Best Practices

Product Pairing Strategy

Recommendation Examples by Industry

Fashion

Electronics

Beauty

Home & Kitchen

Number of Recommendations

Tip: Start with 3-4 highly relevant products rather than many loosely related ones.

Priority Order

Place products in this order:

1. Most complementary — Products that complete the purchase
2. Best sellers — Popular items with high conversion
3. High margin — Products that boost profitability
4. Discovery items — New or lesser-known products

Scaling Your Recommendations

Start Small

Begin with your top 10-20 products:

1. Identify your bestsellers
2. Create recommendations for each
3. Monitor performance
4. Expand to more products

Bulk Strategy

For larger catalogs:

1. Group by category — Same recommendations for similar products
2. Use collections — Apply collection-based general recommendations
3. Focus on high-traffic — Prioritize products with most views
4. Seasonal updates — Rotate recommendations seasonally

Maintenance

Combining with General Recommendations

Use both types together:

When a personalized recommendation exists, it takes priority over general recommendations for that product.

Analytics

Track personalized recommendation performance:

Optimization Tips

1. Low click rate? — Try different product pairings
2. Low conversion? — Products may not be compelling enough
3. High clicks, low conversion? — Price or relevance issue
4. No impressions? — Check source product traffic

Troubleshooting

Recommendations Not Showing

1. Verify rule is active
2. Check source product is correct
3. Confirm recommended products are published
4. Ensure theme extension is enabled

Wrong Products Appearing

• Review the specific recommendation rule
• Check for conflicting general recommendations
• Verify product IDs are correct

Products Out of Stock

Recommendations automatically hide out-of-stock products. Restock inventory to show them again.

Examples

Skincare Brand

Source: Anti-Aging Serum ($65)

Personalized Recommendations:

1. Vitamin C Moisturizer ($45) — Complementary step
2. Eye Cream ($38) — Complete routine
3. Night Cream ($52) — Evening routine
4. SPF 50 Sunscreen ($28) — Essential pairing

Why it works: Creates a complete skincare routine, encouraging larger purchases.

Tech Store

Source: MacBook Pro

Personalized Recommendations:

1. USB-C Hub ($49) — Essential accessory
2. Laptop Stand ($89) — Ergonomic pairing
3. Wireless Mouse ($79) — Common add-on
4. Laptop Sleeve ($45) — Protection need

Why it works: Addresses common needs for laptop buyers.

Pet Store

Source: Dog Bed (Large)

Personalized Recommendations:

1. Dog Blanket ($25) — Comfort add-on
2. Chew Toy Set ($18) — Complementary
3. Dog Treats ($12) — Quick add
4. Bed Cover ($35) — Practical accessory

Why it works: Bundles comfort items for pet owners.

What’s Next?

Complete your product discovery strategy:

• Product Recommendations — General recommendation widgets
• Product Bundles — Sell products together
• Upsell Offers — Strategic upselling

Personalized recommendations create tailored shopping experiences that feel curated just for each customer.