What is a good checkout abandonment rate?

Roughly 63% of shoppers who begin checkout abandon before ordering. Above about 78% signals serious checkout friction, and below 52% is strong for most ecommerce.

How is checkout abandonment rate calculated?

Checkout abandonment rate equals checkout starts minus completed orders, divided by checkout starts, multiplied by 100. For 576 orders from 1,800 checkout starts the abandonment rate is 68.0%.

Why do shoppers abandon checkout?

The most common causes are unexpected shipping or fees, forced account creation, limited payment options, long or repetitive forms, and missing trust signals at the point of payment.

How do I reduce checkout abandonment?

Offer guest checkout, reduce form fields, surface total cost early, add more payment methods, show a clear progress indicator, and place security and return-policy cues next to the pay button.

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Checkout Abandonment Rate Calculator

Measure how many shoppers begin checkout but leave before ordering — and decide whether to fix checkout friction or send more traffic into the funnel.

Checkout starts

starts

Orders

count

Checkout abandonment rate

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Average

Scenario lens Current · Benchmark · Optimized

Value / conversion

Leverage

Formula

Checkout abandonment rate = (Checkout starts − Orders) / Checkout starts × 100

Understanding checkout abandonment rate

Reference material — the calculator above stays the primary tool.

What checkout abandonment rate measures

Checkout abandonment rate is the share of shoppers who start checkout but leave without completing the order. It isolates the final, highest-intent stretch of the funnel — these are people who already chose to buy, so every point of abandonment is lost demand rather than weak interest.

Because intent is already high, recovering abandoned checkouts is usually faster and cheaper than buying more traffic. A point of abandonment recovered is worth far more than a point of top-of-page conversion at the same volume.

How to read your result

Here, lower is better — the verdict is read on the completion rate behind the number:

Low — abandonment well above the median; checkout friction is leaking committed buyers. Average — near the median; targeted checkout tests pay off. Strong — abandonment at or below the median; the constraint has moved upstream to traffic and earlier funnel stages.

Checkout abandonment benchmarks by sector

Abandonment varies by basket size, payment mix, and audience. Treat these as orientation, not targets — your own historical baseline is the better comparison.

Context	Typical abandonment
Fashion & apparel	52–60%
Electronics & high-ticket	62–70%
Marketplaces	45–55%
Subscription & digital	40–50%

Levers that recover abandoned checkouts

Most recovered checkouts come from removing surprise and effort: surface total cost (including shipping and tax) before the final step, offer guest checkout, reduce and autofill form fields, expand payment methods including wallets, and place trust, security, and return-policy cues directly beside the pay button. Model each fix as a scenario above to see the revenue it recovers.

Is abandonment rate the only thing to watch?

No. Read it alongside cart abandonment and average order value — the related tools handle those. A checkout change that lowers abandonment but also lowers average order value (for example, aggressive discounting) can leave revenue flat, so confirm the recovered orders translate into recovered revenue.