How to Choose the Right Products for Upsells in Your Shopify Store

Choosing the right product combinations is the difference between upsells that convert and widgets customers ignore. Here's a practical way to identify strong product pairings.

Why Product Selection Matters

Upsell widgets themselves don't increase revenue — the products inside them do. If the recommended item doesn't logically fit with what the customer is already considering, it will simply be ignored.

Strong product pairings feel obvious once you see them. The challenge is identifying those relationships systematically.

Start With Complementary Products

The most reliable upsells are products that directly complement the main item being purchased. They help the customer use, maintain, or improve the original product.

Examples include:

  • Phone cases with smartphones
  • Cleaning kits with sneakers
  • Extra blades with grooming tools
  • Storage bags with travel gear

Customers already understand why these products belong together.

Look at Your Existing Orders

If your store already has a history of orders, your own data can reveal natural pairings. Review past orders and look for products that frequently appear together.

This method often uncovers combinations you may not have considered manually.

Consider Price Psychology

Upsell success is also influenced by pricing. Smaller add-on items tend to convert more easily because they require less decision-making.

Many stores see strong results when recommended products fall within roughly 20–40% of the main product's price. The purchase feels incremental rather than substantial.

Avoid Unrelated Promotions

One common mistake is using recommendation widgets to push slow-moving inventory. If the item has no connection to the customer's current purchase, it usually reduces engagement instead of increasing it.

Relevance should always come before promotional goals.

Test a Few Pairings First

Instead of creating dozens of rules immediately, start with a handful of pairings around your most popular products. Monitor clicks and revenue for a few weeks before expanding.

This approach produces clearer data and avoids unnecessary complexity.

Using Automation to Discover Pairings

Recommendation engines can help surface product relationships automatically by analysing catalogue structure and purchase behaviour.

Tools like SmartSellio can generate suggestions dynamically, which is particularly useful for stores with larger catalogues.

The Goal of Every Recommendation

The best upsells feel like a helpful suggestion a store employee might make in person. When the pairing makes sense, customers rarely perceive it as a sales tactic — they see it as guidance.

Focus on relevance, keep recommendations concise, and refine them gradually as your store gathers more data.

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