Checkout Abandonment
Checkout abandonment is when shoppers reach the checkout but leave before paying. Here's how to measure it, what's normal, and how to win back the lost orders.
Checkout Abandonment
When a shopper starts the checkout flow but exits before completing the purchase.
Checkout abandonment describes the pattern of shoppers who reach a checkout step — entering shipping, billing, or payment details — and then leave without placing the order. It is narrower than cart abandonment, which counts anyone who adds to cart and doesn't buy: checkout abandonment isolates the highest-intent slice of that drop-off, the people who already committed to the funnel.
Teams diagnose it with funnel analysis and session replay to see exactly which field, fee, or interaction is killing the conversion, then recover lost revenue with a mix of on-site UX fixes and off-site email or SMS reminders. It sits inside the broader discipline of checkout optimization.
The distinction matters because checkout abandoners are worth more than generic cart abandoners. They've already entered an email, sometimes an address, and they've seen the final total — meaning sticker shock, trust friction, or a broken payment step is what stopped them, not browsing intent.
The dominant causes cluster into four buckets: unexpected costs (shipping, taxes, duties) revealed too late, forced account creation, slow or buggy payment flows, and missing payment methods like Klarna, Apple Pay, or local wallets. Each one is fixable, and each leaves a distinct fingerprint in your funnel data.
Checkout Abandonment Rate = (Checkouts Started − Checkouts Completed) / Checkouts Started × 100
Checkouts Started
Sessions reaching checkout
Unique sessions that triggered the 'begin_checkout' event or equivalent step-1 view.
Checkouts Completed
Successful orders
Sessions that fired the 'purchase' event with a valid order ID.
A Shopify apparel store sees 8,400 checkout starts in a month and 2,940 completed orders.
Checkouts Started: 8400
Checkouts Completed: 2940
→ 65% abandonment rate
Roughly two out of three high-intent shoppers leave before paying. That's within the typical Shopify band but leaves clear upside — recovering even 5 points would add ~420 orders a month.
Read the rate alongside the average order value and the recovered-revenue figure from your abandonment email flow. A 70% rate on a €120 AOV store is a very different problem than 70% on a €25 impulse-buy SKU, and the recovery tactics differ accordingly.
Typical checkout abandonment rates by platform and vertical
| Segment | Median rate | Top-quartile rate | Common AOV band |
|---|---|---|---|
| Shopify — apparel & accessories | 68% | 55% | €60–€110 |
| Shopify — beauty & skincare | 62% | 49% | €35–€75 |
| WooCommerce — home & lifestyle | 71% | 58% | €80–€160 |
| Magento — electronics | 76% | 63% | €180–€450 |
| Shopify — food & supplements (subscription) | 58% | 44% | €40–€90 |
Recovery has two legs. On-site: cut form fields, show total shipping and tax before step one, surface express wallets (Apple Pay, Shop Pay, Google Pay), and add trust signals near the pay button. Off-site: a three-touch email-and-SMS sequence in the first 24 hours typically recovers 8–15% of abandoners on its own.
Frequently asked questions
The 'begin_checkout' event in GA4, or the first checkout-step view in Shopify's funnel report. It fires when a shopper lands on the first checkout screen — typically after clicking 'Check out' from the cart.
Cart abandonment is anyone who adds to cart and doesn't buy — a much wider, lower-intent pool. Checkout abandonment is the subset who actually entered the checkout flow. Checkout abandoners are far closer to purchase, so they respond better to recovery campaigns.
It's roughly average across DTC. The benchmark to beat varies by vertical: 55–60% is strong for apparel, while electronics stores often run 75%+ because of higher AOVs and more comparison shopping. Trend matters more than the absolute number.
Combine three signals: a funnel report showing which step bleeds, session replay on abandoned sessions to see field-level friction, and on-exit micro-surveys asking the single most useful question ('What stopped you?'). The mechanism shows up within 20–30 replays.
Yes — express wallets typically lift checkout completion by 5–15% because they bypass the form entirely. The bigger the mobile share of your traffic, the larger the lift, since manual address entry on phones is where most abandonment concentrates.
The first email should fire within 60 minutes — that window captures the highest open and click rates. A three-touch sequence at 1 hour, 24 hours, and 72 hours is the standard pattern, with the second or third touch including a small incentive if margin allows.
It can, if the discount is predictable and generous. Mitigate it by reserving the discount for the final touch only, capping it at 10%, and segmenting first-time vs. repeat buyers — repeat buyers rarely need the incentive to convert.
Checkout optimization is the parent discipline — the full programme of testing and improving the checkout experience. Checkout abandonment is the primary KPI that programme moves. Every checkout optimization experiment ultimately gets judged by its effect on completion rate.
Up to a point. The first three or four methods (card, Apple Pay, PayPal, plus one local option like Klarna or iDEAL) deliver most of the lift. Beyond that, additional badges add visual noise without meaningfully expanding the addressable buyer base.
Use a logged-in or email-captured identifier — once a shopper enters their email at checkout, you can stitch the session to the eventual purchase even if it completes on another device. Without identity, you'll over-count abandonment by 10–20%.
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