Collect the matching inputs.
Define primary and complementary SKU groups before analysis. Count each eligible order once, and separate paid accessories from automatically included items.
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Order value · Attach rateCross-sell attach rate.
Cross-sell attach rate.
Measure the products bought together.
Cross-sell attach rate is the share of orders containing an eligible primary product that also contain a defined complementary product or category.
Start with your numbers.
Attach rate calculator
01 / The definitionWhat is
What is
cross-sell attach rate?
Cross-sell attach rate is the share of orders containing an eligible primary product that also contain a defined complementary product or category.
Attach rate is not proof that recommendations caused the sale. Some customers would buy both items without seeing an offer.
02 / The measurementA clear formula.
A clear formula.
A useful comparison.
Attach rate =Eligible orders with the complementary product ÷ Orders with the eligible primary product × 100
Read the result in context.
Compare compatible product families and in-stock periods. Track contribution, returns and checkout completion as well as attachment.
Document the comparison.
Keep the reporting dates, population, exclusions and calculation with every result. Show underlying counts as well as the average or rate, so a small sample does not look more conclusive than it is.
Illustrative example
From inputs to insight.
- Eligible orders with the complementary product
- 120
- Orders with the eligible primary product
- 600
- Attach rate
- 20%
20% of eligible orders included the complementary item, such as a frame bought with a print.
Try your numbers ↑03 / Industry benchmarksContext first.
Context first.
Targets second.
Compare compatible product families and in-stock periods. Track contribution, returns and checkout completion as well as attachment.
We have not verified a public industry benchmark that matches the exact definition used on this page. A precise-looking generic range would hide important differences between businesses.
Build your own benchmark
Start with a comparable baseline.
01
Match the population.
Choose the category, channel or customer cohort you can compare consistently.
02
Let the data mature.
Use complete periods and allow the purchase, attribution or returns window in your definition to close.
03
Test a specific opportunity.
Set a target from your economics and observed variation. Keep conversion and contribution in view.
04 / Clerk customer evidenceReal stories.
Real stories.
Clear measurement limits.
These examples show the reported outcome or a related use case. Read each evidence label before comparing it with your KPI.
Related cross-sell example
Gallerix
The print-and-frame business illustrates complementary-product discovery. The story does not report a measured cross-sell attach rate.
Read the customer story ↗Customer stories describe individual implementations. They are not industry benchmarks, guarantees or standardized causal tests.
05 / Put it into practice
Measure the products bought together.
Recommend genuinely compatible accessories at product selection or after add-to-cart, with clear prices and an easy decline option.
06 / Common questionsA little more
A little more
clarity.
How do I calculate cross-sell attach rate?
Eligible orders with the complementary product ÷ Orders with the eligible primary product × 100. 20% of eligible orders included the complementary item, such as a frame bought with a print.
What should I check before comparing results?
Attach rate is not proof that recommendations caused the sale. Some customers would buy both items without seeing an offer.
What is a good cross-sell attach rate?
Compare compatible product families and in-stock periods. Track contribution, returns and checkout completion as well as attachment.
Does a higher attributed result prove incremental growth?
No. Attribution connects an interaction with an outcome under a reporting rule. To estimate what a change added, compare randomly assigned treatment and control groups using the same eligible population and a predefined measurement window.
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