Collect the matching inputs.
Export line-item quantities and unique order IDs. Exclude canceled and test orders; define how bundles and free samples count. For a returns-adjusted view, match returned units to their original orders.
← All ecommerce KPIs
Order value · ABSAverage basket size.
Average basket size.
Help every basket do more.
Average basket size measures the number of product units in a completed order. It helps you understand whether shoppers buy a single item or build a larger basket.
Start with your numbers.
ABS calculator
01 / The definitionWhat is
What is
average basket size?
Average basket size measures the number of product units in a completed order. It helps you understand whether shoppers buy a single item or build a larger basket.
More units can mean more discounts or higher fulfilment costs. Read basket size alongside order value and contribution profit.
02 / The measurementA clear formula.
A clear formula.
A useful comparison.
ABS =Product units sold ÷ Completed orders
Read the result in context.
Compare categories with similar pack sizes and buying cycles. Track monthly units per order for new and returning shoppers separately.
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.
- Product units sold
- 900
- Completed orders
- 300
- ABS
- 3
3 units per order. Three copies of one product count as three units, even though there is only one distinct SKU.
Try your numbers ↑03 / Industry benchmarksContext first.
Context first.
Targets second.
Compare categories with similar pack sizes and buying cycles. Track monthly units per order for new and returning shoppers separately.
Use the source’s population and measurement rules to decide whether the comparison applies to your store.
Units per transaction: category context
External context| Segment | Reported result |
|---|---|
| Food & beverage | 7.68 units |
| Fashion, accessories & apparel | 2.84 units |
Source: Dynamic Yield ecommerce benchmarks ↗. Trailing 12-month figures displayed on September 9, 2026. The narrative does not state the exact year of its latest July or category sample sizes. Use as directional context, not a matched current-store target.
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.
Direct basket-size result
Gallerix
The story reports 37% larger baskets after using Clerk Search and Recommendations.
Read the customer story ↗
Direct units-per-basket result
Hairlust
Hairlust reports an additional 0.8 products per basket across 12 domains in the reported 30-day period.
Read the customer story ↗Customer stories describe individual implementations. They are not industry benchmarks, guarantees or standardized causal tests.
05 / Put it into practice
Help every basket do more.
Suggest compatible accessories after add-to-cart and make quantity or pack-size choices clear.
06 / Common questionsA little more
A little more
clarity.
How do I calculate average basket size?
Product units sold ÷ Completed orders. 3 units per order. Three copies of one product count as three units, even though there is only one distinct SKU.
What should I check before comparing results?
More units can mean more discounts or higher fulfilment costs. Read basket size alongside order value and contribution profit.
What is a good average basket size?
Compare categories with similar pack sizes and buying cycles. Track monthly units per order for new and returning shoppers separately.
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.
Keep learning
Connect the numbers.
Your next opportunityMake product discovery
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work harder for your store.
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