The $260 billion checkout gap: How much of it is yours to recover?

Baymard Institute’s analysis of combined eCommerce sales across the US and EU tells a striking story. With $738 billion in total sales and an average cart abandonment rate of 70.22% across more than 50 studies, the value locked inside abandoned carts is enormous. And according to Baymard’s own decade of large-scale checkout testing, $260 billion of that lost revenue is directly recoverable, not through more ad spend, not through better products, but through a better checkout experience.

That figure is anchored to a specific finding: the average large-sized eCommerce site can achieve a 35.26% increase in conversion rate through checkout usability improvements alone. Baymard benchmarked the checkout flows of 60 leading eCommerce sites, including Walmart, Amazon, ASOS, and Wayfair, and found an average of 39 potential improvement areas per site. Even Fortune 500 companies that have already run multiple checkout optimisation projects still have major gains available.

Where the $260 billion is actually coming from

Baymard’s research breaks down the reasons shoppers abandon checkout. Understanding the breakdown matters because not every reason is equally solvable, and some are far more within a merchant’s control than others.

• 39% Extra costs too high (shipping, tax, fees): The most cited reason. Partially addressable through pricing strategy and transparency.
• 21% Delivery was too slow: Logistics and fulfilment issues, largely outside the checkout experience itself.
• 19% Didn’t trust the site with credit card information: A trust and UX signal issue. Directly addressable through checkout design, security indicators, and site reliability.
• 19% Site wanted account creation: A checkout flow design issue. Fully solvable.
• 18% Too long or complicated checkout process: A checkout UX issue. Fully solvable.
• 15% Website had errors or crashed: A technical performance issue. Fully solvable with the right monitoring.
• 14% Couldn’t see or calculate total order cost upfront: A checkout transparency issue. Fully solvable.
• 10% Not enough payment methods: A payment integration issue. Solvable.
• 8% Credit card was declined: Partially addressable through better payment retry logic and error messaging.

When Baymard says $260 billion is “recoverable,” they’re referring to the issues in this list that fall under checkout usability: trust signals, account creation friction, process complexity, cost transparency, payment options, and technical errors. Shipping costs and slow delivery are the two large categories that sit largely outside checkout design.

The technical slice: What monitoring can directly recover

For eCommerce operations teams, the most actionable portion of the $260 billion is the technical layer: the 15% of shoppers abandoning because of website errors or crashes, the 18% citing complicated checkout (where “complicated” often means “broken” in ways customers can’t articulate), and the 19% who didn’t trust the site with payment information, a signal that directly correlates with unstable, error-prone checkout experiences.

Together, these three categories account for more than half of the non-shipping abandonment reasons. And they share a common characteristic: they’re invisible to standard monitoring tools.

• A shopper who encounters a JavaScript error that freezes the payment form doesn’t file a bug report. They abandon.
• A customer who sees a layout shift that pushes the “Place Order” button off-screen on their phone doesn’t contact support. They leave.
• A returning visitor whose session expires mid-checkout doesn’t flag the session timeout. They buy elsewhere.

Payment failures compound the picture further. Research from Optimus Technologies estimates that 1 in 5 eCommerce orders is affected by some form of payment failure, contributing to an estimated $47 billion in annual revenue leakage globally. These aren’t fraud or chargebacks. These are willing buyers who couldn’t complete a transaction because of a gateway timeout, a broken 3D Secure flow, or a form validation error that produced a cryptic message.

Why most teams can't see the problem

The uncomfortable truth in Baymard’s data is that most of these technical failures don’t generate visible signals. Your site loads. Orders complete. Your dashboard shows no errors. But underneath, a percentage of your sessions are hitting walls that never get logged.

Standard monitoring tools are built to catch infrastructure problems: servers going down, APIs timing out, error status codes. They’re not built to catch the eCommerce-specific failure modes that drive the technical slice of abandonment: a payment widget that renders incorrectly on a specific browser, a discount that applies to the wrong line item after a platform update, an address validation script that hangs on mobile.

The gap between “the site is up” and “the checkout is working correctly for every customer” is where the recoverable revenue lives. Closing that gap requires monitoring that tracks the actual customer journey, not just server health.

What recovery actually looks like

Baymard’s 35.26% conversion rate improvement is an average across sites with an average of 39 improvement areas each. No single merchant will realise the full figure overnight. But the direction is clear: every checkout friction point removed is a measurable conversion gain.

For the technical layer specifically, recovery comes from closing the detection gap:

1. Catch errors as they happen, not as they appear in monthly reports. A JavaScript error that breaks checkout for mobile Safari users on iOS 17 costs you every hour it goes undetected. Real-user monitoring surfaces these issues in real time, not in retrospect.

2. Distinguish between “worked” and “worked correctly”. A checkout that completed but applied the wrong discount, showed the wrong shipping rate, or silently skipped a loyalty reward has failed in the way that matters. Outcome monitoring catches what error monitoring misses.

3. Correlate technical events with revenue impact. Knowing an error occurred 500 times is less useful than knowing those 500 errors affected sessions worth an estimated £18,000 in potential revenue. Priority follows impact.

4. Monitor after every platform update. Shopify, Magento, WooCommerce, and Adobe Commerce are all shipping changes on increasingly tight schedules. Each update is an opportunity for something in your checkout to quietly stop matching what you expect.

This is precisely what AuditIQ eCommerce monitoring tool was built to address. By monitoring real customer journeys rather than synthetic test paths, AuditIQ surfaces the technical failures that sit in the recoverable portion of Baymard’s $260 billion: errors that don’t look broken, outcomes that don’t match intent, and changes that quietly alter checkout behaviour without triggering a single alert.

The $260 billion isn’t a fixed loss. It’s a benchmark for what’s possible when checkout works the way it was designed to. The merchants who recover their share won’t do it with bigger ad budgets. They’ll do it with better visibility into what’s actually happening when customers try to pay.

Try AuditIQ for free and see how much of your checkout gap is recoverable.