Cart Abandonment: Why Shoppers Leave and How to Fix It

About seven in ten online shopping carts never become orders. Baymard Institute (opens in a new tab) averages 50 published studies of cart abandonment and arrives at 70.22% of carts abandoned. That one number hides two groups of shoppers. The first was never going to buy that day: they were comparing prices, saving items for later or just looking. The second wanted to buy and hit a problem at checkout, most often an extra cost they did not expect. No checkout change will win over the first group. The second group left for reasons you can find, and you can remove those reasons one at a time.

What the 70% figure can and cannot tell you

Baymard's number is widely quoted, and it earns that. The list is public, it names every source, and Baymard keeps it updated. Read the list, though. The 50 studies run from 55.00% at the low end (Forrester Research, 2010) to 84.27% at the high end (SaleCycle, 2020), and only 8 of them date from 2020 or later. They also measure different things: different industries, different devices, and different ideas of when a cart counts as abandoned.

So the average tells you the problem is large and normal. It cannot tell you whether your checkout is getting worse.

Browsing is real, and it is not your problem

People use carts as wish lists, price trackers and gift shortlists. Baymard's survey of US online shoppers found 42% have abandoned a cart because they were "just browsing / not ready to buy." A faster form will not convert someone who never meant to pay today, and a store that treats every abandoned cart as a lost sale ends up chasing the wrong people.

The hard part is that your reports cannot separate the two groups. A cart left by a price-checker and a cart left by a buyer who saw a $12 shipping line at the last step look identical in an abandoned-cart report. Where in the flow people leave gives you a hint. It does not give you an answer, and no dashboard will.

The documented drivers, ranked

Set the browsers aside and Baymard's survey gives a ranked list of what stopped the rest. These are the top six:

Extra costs lead by a wide margin, at double the next reason. Each line is something the store controls: the price display, the delivery promise, the payment page, the signup rule, the form and the code. The full list, including returns policies and declined cards, is in why customers abandon checkout.

Fix the worst driver first

A checkout with surprise shipping will not be saved by a new payment button. A checkout that forces signup will not be saved by trimming one field. Working through ten best practices at once leaves the one doing the damage in place, and when the rate does move, you cannot say which change moved it.

The order that works is narrower. Find the worst driver, fix it, measure again, then take the next one. The worst signal outweighs the average. Take Main store checkout, one of five flows in the Gate's worked sample: 2 out of 2 on six of seven signals, 1 on total-cost transparency, and still a HEMORRHAGING verdict, because a partial failure on that one signal is enough. Start with the friction concept in checkout friction, then work the fixes in how to reduce cart abandonment.

Pairs well with

Some shoppers will leave a good checkout anyway. The Cart-Recovery Sequence Effectiveness Gate ($49) grades the email flow that follows them on seven levers and returns OPTIMIZED, UNDERPERFORMING or DORMANT. Before the cart, the AI Offer & Landing-Page Conversion Kit ($79) works on the offer and landing page, with a claim-honesty linter that returns Launch, Tune or Rework. After the sale, the Returns & Refund Profit Analyzer ($39) shows true profit per SKU once returns come back, with a keep, fix or drop verdict.