Your Checkout Is Losing 7 in 10 Carts. Here's What Actually Fixes It.

It's one of the more uncomfortable numbers in ecommerce: the average shopper who puts something in a cart does not complete the purchase roughly seven times out of ten. If that sounds too high to be true, it isn't — it's a remarkably stable pattern that's held for over a decade of independent research.

For a brand spending real money to get a visitor to add a product to cart, that statistic represents the single biggest place sales leak out of your store — bigger, in most cases, than anything happening upstream in your ads. And unlike the cost of winning a new customer, which is shaped by forces outside a brand's control, checkout abandonment is overwhelmingly shaped by decisions made inside the brand's own website and checkout flow.

What's actually driving it

Baymard's research breaks the causes down into a handful of recurring categories, and the pattern is consistent: most of it is self-inflicted friction, not a lack of purchase intent.

• Extra costs shown too late — shipping, taxes, or fees that only appear at the final step — is the most commonly cited reason for abandoning, and the most directly fixable.
• Being forced to create an account before checking out drives a meaningful share of abandonment on its own.
• A checkout process that's too long or too complicated is one of the next largest drivers — every additional field or screen is another exit point.
• Slow estimated delivery windows and distrust in submitting payment information round out the top causes.

None of these are exotic problems. They're implementation defaults that were set once, early in a brand's life, and never revisited as the store scaled.

The recovery opportunity is real, and it's underused

Baymard's research also estimates that checkout usability improvements alone lift the share of visitors who actually buy by an average of around 35% — meaning the fix isn't a marginal tweak, it's frequently the single best-paying project available to a brand that already has visitors and interest, just not enough of them finishing the purchase.

Where AI actually helps here — and where it doesn't

There's a temptation to treat every checkout problem as an AI problem: add a chatbot, add a personalization engine, add a recommendation widget. Most of that is solving the wrong layer. Before layering intelligence on top of checkout, fix the structural friction underneath it. Where AI genuinely moves the number is further downstream — recovering abandoned carts that already happened, rather than preventing the ones that haven't:

1. Predictive abandonment triggers that fire a recovery flow at the moment intent drops, rather than a generic timed email 24 hours later.
2. Dynamic, behavior-based email and SMS sequences that vary the offer based on what specifically stalled the checkout (price sensitivity vs. shipping cost vs. indecision between two products).
3. Support automation that intercepts high-intent, high-friction moments — a shopper stuck on a shipping question — with an immediate answer instead of a support ticket queue.

The brands that treat checkout as a systems problem — fix the friction, then layer intelligence on top of what's left — consistently outperform the ones that try to buy their way out of a bad checkout flow with more automation.