How much is stuck in your abandoned checkouts?

Take checkouts started, not carts created: adding to a cart is browsing behaviour, entering checkout is intent. Then take completed orders for exactly the same period and the same traffic segment. If your analytics only reports cart events, the resulting rate will look worse than reality — say so out loud rather than quietly building a business case on it. A single clean month beats a quarter of mixed definitions.

• Checkouts started, not add-to-cart events
• Same period and segment for both numbers
• Exclude test orders and staff purchases
• Note whether the data covers mobile, desktop or both

The value of abandoned checkouts is not lost revenue. A meaningful share of it was never going to complete: price comparison, saving for later, a wrong card at hand, someone browsing at work. Baymard Institute's long-running research into checkout abandonment finds that a large portion of abandonment is exactly this kind of non-buying behaviour, with the remainder driven by fixable friction — surprise costs at the last step, forced account creation, a long or slow checkout, and visible trust problems. Treat the calculator's at-stake number as the outer boundary, then read the recovery line as the realistic case.

The recovery field is deliberately blank of promises. A modest single-digit share is a defensible planning assumption for work that removes real friction — showing shipping cost earlier, allowing guest checkout, making the payment step fast and forgiving on a phone, recovering the session after an error. If a vendor's proposal assumes a large double-digit recovery, ask what exactly changes for the shopper to produce it, and what happens to the fee if it does not.

Almost every store has the same short list, and it is worth checking before commissioning anything: costs revealed only at the final step, a required account, a checkout that recalculates on every keystroke, error messages that lose the entered data, and payment methods your customers expect but you do not offer. Most of these are storefront and configuration work rather than a rebuild. The reduce cart abandonment page walks the list in order, and faster checkout covers the part that is genuinely technical.

Whatever you change, keep the metric definition identical on both sides of the change, and give it enough weeks to escape the noise of a promotion or a seasonal swing. Checkout metrics are unusually easy to fool yourself with, because tracking often breaks at exactly the step you are trying to improve. Verifying that the events still fire correctly after the change is part of the work, not an afterthought.

This calculator runs in your browser and stores nothing. No form stands between you and the result, and no figure is logged. If you would like the checkout itself looked at with real field data rather than assumptions, the free audit is a separate step you choose to take.