Checkout Abandonment Rate: The Causes We Found Across 271 Sites

The checkout abandonment rate is the share of shoppers who begin checkout but leave before paying. Across documented research the average sits at about 70%, so roughly seven in ten carts never convert. Most of those exits are not random. They trace to fixable friction: surprise costs, forced account creation, and forms that ask for trust a page never earns.

We wanted to know how much of that friction is visible before a single real customer arrives. So we ran a flock of AI users across 271 live sites and recorded where they stalled. Here is what the data shows, and what to do about it.

The benchmark: about 70% of checkouts get abandoned

Baymard Institute, which aggregates 50 separate studies on the topic, puts the average documented online cart abandonment rate at 70.22%. The math is simple. Divide completed purchases by checkouts started, then subtract that fraction from one. If 1,000 people start checkout and 300 finish, your abandonment rate is 70%.

That average hides a device gap. Baymard's data shows mobile abandonment near 80% against roughly 66% on desktop, which matters because mobile is now where most sessions begin. The same research found that the average large ecommerce site can lift conversions by 35.26% through better checkout design alone. The ceiling is high because the problems are common.

What we found across 271 sites

Our own scans tell the supply-side version of that story. The average site in the study scored 68 out of 100 on overall experience, and AI users hit a drop-off signal on 29% of the flows they tried. The most frequent conversion problems were not exotic. They were the basics.

Issue surfaced	Sites affected	Share of sites
Asks for input but shows no trust signals	83	31%
No clear call-to-action	77	28%
Users can't contact or book a demo	38	14%
Users can't find the pricing	35	13%
Six competing calls-to-action	34	13%
Users can't sign up or get started	34	13%

The single most common conversion issue, on 31% of sites, was asking people for information without showing any reason to trust the page with it. No security cue, no reassurance, no signal that a real company stands behind the form. That lines up almost exactly with what shoppers say drives them away.

Why shoppers actually leave

When Baymard asked people why they abandoned a checkout, setting aside those who were only browsing, the reasons were concrete and rankable.

Reason for abandoning	Share who cited it
Extra costs too high (shipping, tax, fees)	39%
Didn't trust the site with card details	19%
Site required account creation	19%
Checkout too long or complicated	18%
Couldn't see the order total upfront	14%

Put the two datasets side by side and they rhyme. Baymard's 19% who do not trust a site with their card map directly onto the 31% of sites in our scan that ask for sensitive input with no trust signals. The shoppers feel the gap; the scans show where it lives. The same goes for friction. Pages stacking six competing calls-to-action are the supply-side cause of the 18% who quit because checkout felt too long or confusing.

How to lower your checkout abandonment rate

The fixes are unglamorous and they work.

1. Show every cost early. Surprise shipping and fees are the number one reason carts die, at 39%. Put shipping and tax in the cart, not on the final screen.
2. Offer guest checkout. Nielsen Norman Group, whose checkout guidance draws on testing across more than 350 ecommerce sites, recommends letting people buy as a guest and postponing any password to the confirmation page. Forced account creation alone accounts for 19% of abandonment.
3. Earn trust at the point of the ask. Where you collect a card or personal details, show the security cue, the return policy, and a real company name. That is the 31% problem from our scan.
4. Pick one primary action per step. Six competing buttons is not a choice, it is a stall. One clear next step beats a wall of equal options.
5. Show the running total before the final click. 14% leave because they cannot see what they will actually pay.

You cannot fix what you cannot see, and most teams cannot watch real shoppers fail in real time. That is the gap CanaryUsers closes. It sends a flock of behaviorally diverse AI users through your live checkout and reports exactly where they hesitate or quit, with a specific fix for each. No traffic, no recruiting, no waiting weeks for session data. run a free scan and you will see your own version of the table above.

Methodology

The first-party figures come from 271 CanaryUsers scans of live sites. Each scan sends a flock of behaviorally diverse AI users through the real interface, and a site counts as affected by an issue when at least one persona surfaces it. Across the set, the average overall score was 68 out of 100 and the average drop-off signal rate was 29%. External benchmarks come from Baymard Institute and Nielsen Norman Group, both cited below.