What is a good checkout conversion rate?

Completion from checkout start to order commonly lands near 37%. Below roughly 22% signals serious checkout friction, and above 48% is strong for most ecommerce.

How is checkout conversion rate calculated?

Checkout conversion rate equals completed orders divided by checkout starts, multiplied by 100. For 576 orders from 1,800 checkout starts the rate is 32.0%.

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 improve checkout completion?

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.

Calculator · 005

Checkout Conversion Rate Calculator

Measure how efficiently shoppers who begin checkout complete the purchase — and decide whether to fix checkout friction or send more traffic into the funnel.

Checkout starts

starts

Orders

count

Checkout conversion rate

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Average

Scenario lens Current · Benchmark · Optimized

Value / conversion

Leverage

Formula

Checkout conversion rate = Orders / Checkout starts × 100

Understanding checkout conversion rate

Reference material — the calculator above stays the primary tool.

What checkout conversion rate measures

Checkout conversion rate is the share of shoppers who start checkout and go on to complete the order. It isolates the final, highest-intent stretch of the funnel from everything that happens earlier — these are people who already chose to buy, so losses here are pure friction rather than weak demand.

Because intent is already high, small fixes here often recover revenue faster than top-of-funnel work. A point of checkout completion is worth far more than a point of top-of-page conversion at the same traffic level.

How to read your result

The result is labelled against a fixed benchmark so the number resolves into a decision:

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

Checkout completion benchmarks by sector

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

Context	Typical median
Fashion & apparel	40–48%
Electronics & high-ticket	30–38%
Marketplaces	45–55%
Subscription & digital	50–60%

Levers that recover 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 checkout rate the only thing to watch?

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