Cart Abandonment Rate Calculator: Abandoned Carts as a Share of Total
Work out your shopping cart abandonment rate from abandoned and total carts — the core e-commerce metric for lost checkout revenue, with the completion rate shown alongside.
Adjust the inputs and select Calculate for a full breakdown.
Compare Common Scenarios
How the numbers shift across typical situations for this calculator:
| Scenario | Abandonment rate | Completion rate |
|---|---|---|
| 684 of 900 (76%) | 76.00% | 24.00% |
| 700 of 1,000 (70%, average) | 70.00% | 30.00% |
| 550 of 1,000 (55%, optimized) | 55.00% | 45.00% |
| 850 of 1,000 (85%, high friction) | 85.00% | 15.00% |
How This Calculator Works
Enter the number of abandoned carts and the total carts created during the period. The calculator divides one by the other and multiplies by 100 to give the abandonment rate, with the completion (checkout) rate shown next to it.
The Formula
Part as a Percentage of a Whole
Part is the portion, Whole is the total it belongs to
Worked Example
684 abandoned carts out of 900 created is a 76% abandonment rate, with 24% completing. That's close to the e-commerce average — documented cart abandonment runs around 70%, meaning most carts never convert. Some of that is just browsing (using the cart as a wishlist or to check shipping), but a large share is recoverable: surprise costs at checkout, forced account creation, a long or confusing checkout, and limited payment options are the leading causes.
Key Insight
Cart abandonment is the most-studied leak in e-commerce, and a high rate is normal — but the recoverable portion is where the money is. The top documented reasons people abandon are surprise extra costs (shipping, taxes, fees revealed late), being forced to create an account, a slow or complicated checkout, security concerns, and missing payment methods. The highest-leverage fixes are mostly checkout-side: show total costs early, offer guest checkout, shorten the form, add trusted and varied payment options, and send well-timed abandonment recovery emails (which recover a meaningful share of carts). Watch the trend rather than the absolute number — a rate climbing above your baseline signals a new friction point (a checkout change, a shipping price increase) worth investigating immediately. And segment by device, since mobile abandonment is typically higher than desktop.
Frequently Asked Questions
How is cart abandonment rate calculated?
Divide abandoned carts by total carts created, then multiply by 100. 684 abandoned out of 900 created is a 76% abandonment rate, with a 24% completion rate.
What's a typical cart abandonment rate?
Documented averages hover around 70%, so most carts never convert. Rates vary by industry, device (mobile is usually higher than desktop), and traffic source. Compare against your own baseline rather than a universal benchmark, and watch the trend for sudden increases.
Why do people abandon carts?
The leading documented reasons are surprise extra costs revealed at checkout (shipping, taxes, fees), being forced to create an account, a long or complicated checkout, security concerns, and missing payment options. Some abandonment is just browsing, but much of it is recoverable friction.
How do I reduce cart abandonment?
Focus on checkout: show total costs early (no surprises), offer guest checkout, shorten the form, add trusted and varied payment methods, and display security signals. Abandonment recovery emails and retargeting also win back a meaningful share of carts. Most high-leverage fixes are at the checkout step.
Is all abandonment lost revenue?
No — some shoppers use carts to save items, compare, or check shipping with no intent to buy yet. That portion isn't truly lost. The recoverable part comes from removing friction and surprises at checkout, which is why watching the trend and the reasons matters more than the raw rate.
Related Calculators
Methodology & Review
The abandonment rate is abandoned carts divided by total carts created, multiplied by 100. The complement is the completion (checkout) rate. It measures carts that were created but not purchased and does not distinguish browsing carts from high-intent ones.
Written by Ugo Candido · Last updated May 22, 2026.