How to Know Which Products to Bundle (Without Guessing)
Aug 19, 2025
Product bundling can be one of the most effective ways to grow your revenue and increase your store’s Average Order Value (AOV). But the challenge most merchants face is a simple one: how do you know which products to bundle together?
If you’re still relying on instinct, guessing, or copying competitors, you’re leaving money on the table. In this article, we’ll explore smarter ways to identify high-performing product bundles and how AI can help you make fast, confident decisions backed by real customer data.
Why Guessing Leads to Poor Bundle Performance
Many Shopify merchants try bundling as a sales tactic, but only a few see strong results. That’s usually because the bundles are built based on assumptions, like:
“These products are from the same category, so they must work together”
“Customers will probably want to buy accessories with this item”
“Let’s bundle slow-moving inventory with bestsellers”
While these approaches may work occasionally, they often miss more powerful, data-driven patterns that reflect what customers actually buy together.
The Better Way: Let Your Order Data Guide You
Every order placed in your store contains hidden insights. When you analyze past purchases at scale, you can answer questions like:
Which products are most frequently bought together?
What combinations tend to result in high-value orders?
Are there patterns between product categories, brands, or prices?
This is where data analysis becomes essential. Instead of guessing, you can let your historical orders show you the most natural product relationships.
If you are not sure where to start, the Metrixon AI Bundling Dashboard helps you uncover these insights instantly from your store’s data.
Key Signals That Indicate Bundle Potential
To identify the best product bundles, here are some key indicators to look for:
1. Frequently Bought Together (FBT) Frequency
If two or more products are often purchased in the same order, that is a strong signal they belong in a bundle.
2. Above-AOV Combinations
If a pair or trio of products tends to push the total cart value above your store’s average, bundling them can drive consistent AOV increases.
3. Complementary Function
Do the products naturally go together from a user standpoint? For example, a phone and a charger, or socks and shoes.
4. Cross-category Relationships
Products from different categories that are often bought together suggest a powerful upsell opportunity.
5. Shared Buyer Behavior
Products that tend to be purchased by the same segment of users (e.g., same location, device, or traffic source) may perform well in bundles.
Metrixon’s AI bundling engine uses these and other criteria to generate bundle suggestions with an estimated impact on AOV. You can view the results by uploading your order data on the Metrixon Dashboard or connecting your store.
How AI Removes the Guesswork
The advantage of using an AI-powered system is that it can process thousands of orders, spot buying patterns, and suggest bundles that are statistically likely to perform well.
With Metrixon’s AI Bundling Service, you can:
Upload or sync your store orders
Automatically receive bundle suggestions ranked by AOV impact
Get discount type and value recommendations for each bundle
Understand the “why” behind each suggestion with clear explanations
Download or activate bundles instantly in your store
This gives you a faster, smarter way to launch bundles that are built on proof, not assumptions.
Summary
If you want your bundles to perform well, stop guessing. Your order history already contains the answers. By analyzing it properly or using an AI tool like Metrixon, you can discover bundles that not only make sense, but also increase AOV and conversion rates.
Take the next step:
Visit the AI Bundling Landing Page to learn how it works
Sign in to the Metrixon Dashboard to upload your orders and view your top bundles
Bundling should not be a shot in the dark. With the right data and tools, you can create high-performing bundles that customers actually want to buy.