What Is the Shopify Product Combination Report?
The Product Combination report looks at your orders and finds the products that customers buy together in the same purchase. Instead of ranking items one by one, it groups them into pairs and sets, then shows how often each grouping shows up across the orders in your date range.
The key column is Product Freq, which lists the products that appeared together in an order, such as "Towel, Face Wash." Alongside it, a count shows how many times that same grouping occurred, so a combination that repeats across many orders stands out from one that happened once.
This is different from a bestsellers report. A bestsellers list tells you what sells most on its own. This report tells you what sells alongside something else. Merchants use it to spot natural pairings they can turn into bundles, cross-sell prompts, or "complete the look" recommendations, using real order behavior rather than guesswork.
Which Fields Are Included in the Product Combination Report?
These fields let you identify each co-purchase grouping, trace it back to the orders it came from, and see how often it repeats.
You can customize the pre-made report by adding, removing, or rearranging fields so the view matches how you review baskets in your store.
Important Insights You Can Find in This Report
Which product pairings repeat often enough to justify a real bundle?
Sort by count and look at the top of the list. A combination that appears many times across separate orders is a pairing customers already make on their own, which is a stronger signal than a pairing you assume will work. Those repeat groupings are the safest candidates to package as an official bundle or a checkout cross-sell, because you are formalizing behavior that is already happening.
Are your combinations coming from large baskets or from small, deliberate pairings?
Compare count against Line Item Count. A two-item combination that repeats often inside otherwise small orders points to a genuine "these two go together" relationship. The same items showing up only inside large multi-item baskets may just be riding along with big orders rather than being chosen as a pair. Reading the two columns together keeps you from bundling items that only look related.
Which anchor product pulls the most add-ons around it?
Scan the groupings for a product that keeps reappearing across different combinations. When one item shows up paired with several different products, it is acting as an anchor in the basket. That tells you where to place recommendation widgets or "frequently bought with" prompts, since the anchor is the product customers are building their order around.
THE ANALYST'S READ: The Signal Most Merchants Miss
A combination with a high count is easy to act on. The more useful signal is a pairing that shows up consistently but never at the very top, because those are often the combinations that are still forming. Look for groupings that repeat across the period at a steady, moderate count rather than in a single spike. A steady repeat may suggest an organic pairing that customers keep rediscovering without any prompt from you, which means a small nudge, a recommendation block or a light discount, could lift it further. A one-time spike, by contrast, is worth checking against a promotion or campaign before you read it as real buying behavior. Compare the combinations that recur every week against the ones that appeared once, and treat the steady performers as the ones most likely to respond to bundling.
How Can You Automate the Product Combination Report?
Open Report Pundit and select the pre-made Product Combination report. The columns are already set, so you can save it as is, or open Custom Reports to add the fields listed above and apply a date range or filter first. Once saved, schedule it to email automatically on a daily, weekly, or monthly cycle so the combinations are recalculated for you without rebuilding the report. You can also send it to Google Sheets or Google Drive, or route it to your team on the same schedule, and export it as Excel, CSV, or PDF when you need to share or dig deeper.
Frequently Asked Questions
How does the report decide that products were bought together?
It scans the orders placed during your selected date range and groups the products that appear in the same order into one combination. Each unique grouping becomes a row, and the count shows how many orders contained that exact grouping.
Can I see the combinations by product category instead of by variant?
The default view lists combinations at the product level. If you need combinations grouped by category or another custom dimension, the Report Pundit support team can tailor the report for you.
Can I filter down to only the combinations I care about?
Yes. You can apply filters to remove groupings you are not interested in, for example excluding single-item orders or focusing on combinations that include a specific product, so the report surfaces only the pairings relevant to your cross-selling decisions.
What does the count column actually represent?
The count is the number of times that specific product combination occurred across orders in the period. A higher count means more customers bought that exact grouping together, which is what makes a combination worth acting on.
How is this different from a bundle report?
A bundle report describes bundles you have already built and how their sales compare to standalone items. This report works the other way around: it reveals pairings that customers create themselves in their orders, which is where new bundle ideas come from.
