Where your computed abandonment rate falls. A high rate is normal — many shoppers browse without intent — so these bands describe relative friction, not a target of zero. Anchor on your own trend rather than a single benchmark, since mobile, category, and traffic source all shift the baseline.
Range
What it typically suggests
Below 50%
Unusually low — strong purchase intent or a very streamlined checkout; verify carts are tracked correctly before celebrating.
50% – 65%
Better than typical; checkout friction looks modest, though there is usually still recoverable revenue.
65% – 75%
Around the common ecommerce average; abandonment is mostly browsing, with a fixable slice from checkout friction.
◀ your rate (70.00%)
Above 75%
Elevated — worth investigating shipping surprises, forced sign-up, or a long checkout, especially on mobile.
Estimates only — not financial, tax, or professional advice.
100% private — every number you enter is calculated in your browser and never sent to our servers.
What it calculates: Cart abandonment rate, Abandoned carts, Lost revenue, Recoverable revenue.
Updated 5 June 2026 · Transparent assumptions
The industry baseline is high enough that context matters
Measured abandonment rates across ecommerce typically land near 70%, and higher on mobile. A rate in that range is not a sign of a broken checkout; it is a sign that adding to a cart is how people browse and compare rather than a declaration of intent.
What matters is the trend and the comparison against your own history. A rate that moves five points in a month is worth investigating; a rate that has sat at 68% for two years is simply the shape of the market.
Unexpected costs are the single largest cause, repeatedly measured
Surveys consistently put extra costs revealed at checkout — shipping, taxes, fees — at the top, followed by forced account creation, a long or confusing checkout, and concerns about payment security. Each of those is fixable without touching the product or the price.
Showing shipping cost early, offering guest checkout, and cutting form fields address the majority of stated reasons. These are among the few ecommerce improvements where the cause and the fix are both well evidenced.
Recoverable revenue is abandoned carts times order value times recovery rate
The recoverable figure multiplies abandoned carts by average order value and by the share you expect to win back. Abandoned-cart email sequences commonly recover somewhere in the range of 5% to 15%, with the first message sent within an hour doing most of the work.
That expected value is what justifies the effort. Set the recovery rate to your own measured figure rather than a published one — if you have never run the sequence, run the number at a conservative 5% and treat anything above it as upside.
Cart abandonment and checkout abandonment are different numbers
Counting from add-to-cart gives a much higher rate than counting from checkout initiation, because the earliest step captures the most casual browsing. Neither definition is wrong, but comparing one against a benchmark computed on the other is meaningless.
Bot traffic, duplicate sessions across devices and carts that persist for weeks all distort the denominator too. Fix the definition once, document it, and then only compare the series against itself.
Sources & References
Figures on this page are checked against primary, authoritative sources. Links open in a new tab.
Results are estimates for planning and analysis based on the figures you enter. They are not accounting, tax, or financial advice — verify with your own records and a qualified professional before making decisions.
Published the calculator with its formula, worked example, assumptions, limitations and a bespoke guide, and added an automated formula test suite covering it.
Tested the abandonment rate from carts against completed checkouts, the abandoned count, and the revenue a recovery rate would return.
Tested that completing every cart gives a zero rate, and that recoverable revenue scales with both order value and recovery rate.
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