Cart Abandonment Calculator

A cart abandonment calculator works out what share of your started checkouts never become orders, and what that costs you. This one goes further than most: you enter checkouts started, completed orders, and your average order value, and it returns your cart abandonment rate, the lost revenue sitting in those abandoned carts, and how much of that you can realistically win back at your chosen recovery rate — both for the period and annualized into a full-year figure.

The formula is: cart abandonment rate = (carts created − completed orders) ÷ carts created × 100. For example, if 1,000 shoppers start a checkout in a month and 300 complete it, then 700 carts were abandoned and your abandonment rate is 700 ÷ 1,000 = 70%. The completion rate is the flip side — 30% here — and the two always add up to 100%. This calculator does the arithmetic and benchmarks the result for you.

The Baymard Institute, pooling more than 50 studies, puts the average documented online cart abandonment rate at about 70%. So a rate below 60% is strong, 60–70% is around average, 70–80% is high, and above 80% is very high and usually points to a checkout problem rather than weak demand. Rates vary by industry — travel and finance run higher, while well-optimised retail stores can push below 60%.

Shoppers add to cart and start checkout for many reasons that have nothing to do with intent to buy right now — comparing prices, saving items for later, or just browsing. On top of that, real friction at checkout drives people away: unexpected shipping costs, forced account creation, long forms, security worries, and limited payment options. Added together, these push the documented online average to roughly 70%, which is why recovery flows are so valuable.

Realistically a meaningful slice, but not all of it. Recovery rates vary by channel: cart-recovery emails typically recover 5–15% of abandoned carts, SMS 8–18%, exit-intent offers 4–8%, retargeting ads 2–5%, and web push around 3–7%. This calculator multiplies your lost revenue by the recovery rate you enter, so you can model a conservative single-channel estimate or a combined multi-channel one — and see the annual prize either way.

Lost revenue = abandoned carts × average order value. If 700 carts are abandoned and your average order value is $80, that is $56,000 of potential revenue that walked away in the period. Multiply by how often the period repeats — 12 for a month, 52 for a week — to annualize it. We value the carts net of sales tax, VAT, or GST, since that money is collected and remitted and was never your revenue.

They measure different stages of the same funnel. Cart abandonment is usually counted from when someone adds an item or starts the cart, while checkout abandonment is counted from when they begin the checkout flow itself. Because checkout is further down the funnel, checkout abandonment is typically lower than cart abandonment. The key is consistency: pick one starting point, count completed orders against that same set, and don't mix the two between periods.

The most common reasons are extra costs revealed late (shipping, taxes, fees), being forced to create an account, a checkout process that is too long or complicated, not trusting the site with card details, slow delivery estimates, a confusing returns policy, and too few payment options. Many of these are fixable, which is why a high abandonment rate is often an opportunity rather than just a loss — surface total cost early, offer guest checkout, and trim the form.

That can't happen in reality — every completed order is by definition a checkout that was started, so completed orders can never exceed carts created. If your two figures come from mismatched sources and the completed number is higher, this calculator caps completed at the carts created (giving a 0% abandonment rate) and shows a warning so you can check which number is which. It never returns a negative abandonment rate.

Yes. The abandonment rate, completion rate, and recovery rate are pure ratios, so they are the same everywhere. Your average order value is already in whatever currency you trade in — USD, INR, GBP, EUR, AUD, and more — and the lost and recoverable revenue figures come out in that same currency. We also keep sales tax, VAT, and GST out of the math entirely, since those are collected from buyers and remitted, never your income.

Set the "periods per year" field to match the data you entered: use 12 if your checkout counts are for one month, 52 if they are for one week, 365 for a single day, or 1 if you already entered a full year. The calculator multiplies both the lost revenue and the recoverable revenue by that number, turning a single snapshot into a yearly figure — which is usually the number that justifies investing in a recovery flow.

Not necessarily. A high rate driven by lots of browsing, price-checking, and wishlist behaviour is partly normal and unavoidable. What matters is the recoverable portion — the carts abandoned because of fixable checkout friction. That is why this calculator pairs the rate with lost revenue and a realistic recoverable figure: it tells you not just how high the rate is, but how much money is genuinely on the table to win back.