Overview

Wishlist data acts as a leading indicator of future demand.

Using wishlist analytics, merchants can make smarter decisions about inventory, assortment, and restocking.

1. Identify High-Demand Products Early

Products frequently saved within the first few days of launch often become top sellers.

Use wishlist trends to:

• Increase production
  
  

• Adjust purchase orders
  
  

• Prioritize supplier communication
  
  

2. Detect Low-Interest Products

If a product gets lots of views but few wishlists, it indicates:

• Weak photography
  
  

• Poor perceived value
  
  

• Missing variants
  
  

• Price mismatch
  
  

Improve the listing or consider discontinuation.

3. Plan Inventory Around Variant Demand

Variant-level wishlist insights reveal:

• Popular sizes
  
  

• Popular colors
  
  

• Material preferences
  
  

This is especially useful for:

• Fashion
  
  

• Home decor
  
  

• Accessories
  
  

4. Category-Level Insights

If customers wishlist multiple items from the same category:

• Expand this category
  
  

• Add more styles
  
  

• Feature it in campaigns
  
  

5. Identify Restock Opportunities

Products wishlisted while out of stock are strong candidates for restocking.

Pair with a Klaviyo back-in-stock flow for maximum conversions.

6. Merchandising Enhancements

Wishlist patterns help you decide:

• Which products to feature on homepage
  
  

• Which items to include in bundles
  
  

• Which collections deserve new variants
  
  

• Which items need better pricing