The Product Relationships report shows which products customers buy in the same order, which product they buy next, and which products bring them back. Use it to plan bundles, upsells, newsletters, and Klaviyo flows based on real orders.
1. Open the report
In Venon, click Product Relationships in the left menu.
Pick a date range at the top right. This report shares its date range with Cohort Analysis, so changing it on one page also changes it on the other.
At the top you see 2 cards. Each card initially shows up to 5 rows. Click Show All to see all returned rows, up to 12 per card.
2. Top Bought Together
Product pairs most often purchased in the same order.
The number shows how many orders contained both products.
The percentage shows the share of the first product's orders that also contained the second product.
Use these pairs to find bundle ideas and cross-sells at checkout.
3. Top Next Purchase
What customers most often buy in their next included order within the selected period. The arrow shows the order: first product → next product. Orders containing only products outside the report’s top-200 product limit are not included in this sequence.
The number shows how many customers bought the next product in their next included order within the selected period.
The percentage shows the share of the first product's customers who did this.
Use this card to choose post-purchase recommendations and the product to promote in a follow-up email.
4. Products table
The Products table shows up to 200 products, sorted by customers, with up to 50 related products when you expand a row. Hover a column name to see its definition.
Column | What it shows |
Customers | Customers who bought this product in the selected period. |
Orders | Orders containing this product. |
Units Sold | Total units of this product sold across all orders. |
Units per Customer | Units sold divided by customers. All orders in the period count, not only the first order. |
First Order Rate | The share of all first orders in the selected period that contain this product. A first order is the customer's first recorded order in Venon. |
Repeat Order Rate | The share of all returning-customer orders in the selected period that contain this product. |
Repurchase Rate | The percentage of customers who bought this product in at least 2 distinct orders within the selected period. |
A high First Order Rate means the product often appears in first orders. A high Repurchase Rate points to a product people reorder, which can help you choose products for replenishment emails.
5. Expand a product
Click the arrow next to a product name.
A second table opens with related products and how they relate to the product you expanded.
Each cell shows a count and, in brackets, a percentage.
Column | What it shows |
Same Order | Orders containing both products, as a share of the expanded product's orders. |
First Order Together | New customers whose first order contained both products, as a share of the expanded product's first-order customers. |
Next Order | Customers whose next included order after buying the expanded product contained this product, as a share of the expanded product's customers in the selected period. |
Later Orders | Customers who bought this product in a later included order within the selected period, as a share of the expanded product's customers in that period. |
Same Customer | Customers who bought both products within the selected period, as a share of the expanded product's customers in that period. |
Same Order and First Order Together help with bundles. Next Order and Later Orders help with follow-up emails and upsells.
6. How the data works
The report uses a separate background data build, not real-time events. Its documented schedule is daily at 05:00 UTC; completion can be delayed.
Under the documented source-data rules, customers are matched by email.
This report uses gross purchase counts rather than subtracting refunds. Its documented source-data rules include test and cancelled orders and exclude orders without an email and line items without a resolvable variant.
Products are matched by their Shopify product ID, so 2 products with the same name are shown as separate rows.
These are purchase patterns, not proof that one product caused the other purchase. Use them as a starting point, then test the offer and check its profit in Venon.