HomeDefinitionsWhat is cart abandonment rate?

What is cart abandonment rate?

Cart abandonment rate is the percentage of shoppers who add items to their cart but leave your store without completing the purchase.

If 300 people add something to their cart and 210 of them don’t buy, your cart abandonment rate is 70%. That’s not unusual, industry averages consistently sit between 65 and 75%. The fact that most stores accept this as normal is exactly why fixing it is one of the highest-return optimisation tasks in ecommerce.

Key takeaways

  • Cart abandonment rate = (1 − (completed orders ÷ carts created)) × 100
  • Industry average sits around 70%, meaning most stores lose 7 in 10 shoppers after the cart stage
  • The most common causes are unexpected costs, forced account creation and slow checkout pages
  • Reducing abandonment by even a few percentage points can meaningfully increase revenue without more traffic
  • Recovery emails and retargeting are effective but treat the symptom, not the cause

How cart abandonment rate is calculated

The formula:

Cart abandonment rate = (1 − (completed purchases ÷ initiated carts)) × 100

Or equivalently: the percentage of cart sessions that didn’t convert.

Example: in a month, 800 shoppers added items to their cart. 240 completed a purchase. Cart abandonment rate = (1 − 240/800) × 100 = 70%.

What counts as an “initiated cart” varies by tool. Some analytics platforms count any add-to-cart event. Others count sessions that reached the cart page. The distinction can shift your reported number by a few percentage points, so know what your tool is measuring.


Why cart abandonment happens

Research consistently shows the same root causes:

Unexpected costs at checkout. Shipping costs, taxes and fees that weren’t visible on the product page are the single biggest driver of abandonment. Visitors do mental accounting before clicking “add to cart”, surprising them with €12 shipping at checkout resets that calculation.

Forced account creation. Requiring shoppers to create an account before they can pay adds friction and signals that you’re optimising for your data collection rather than their purchase experience.

Complex or slow checkout flow. Every additional step is an opportunity to lose a customer. Multi-page checkouts with unclear progress indicators, excessive form fields or slow page loads each contribute to drop-off.

Payment method limitations. Not offering common local payment methods (iDEAL, Klarna, Apple Pay) loses customers who prefer those options.

Trust concerns. First-time visitors who haven’t bought from you before are evaluating whether to trust you with their payment details. Missing trust signals, no return policy, no SSL, unfamiliar payment logos, increase doubt.

“Just browsing” intent. A meaningful share of cart additions are comparison shopping, price checking or saving items for later. These visitors weren’t ready to buy regardless of your checkout experience. They inflate your abandonment number but represent a different kind of opportunity (retargeting, recovery emails).


What’s a good cart abandonment rate?

Lower is better, but context matters:

SectorTypical cart abandonment rate
Fashion and apparel68, 75%
Electronics74, 80%
Home and garden67, 73%
Digital products60, 68%
Travel and hospitality80, 90%

Digital products typically see lower abandonment because there’s no shipping friction. Travel sees higher rates because the purchase decision is more complex and comparison shopping is expected.

The number that matters most is your own trend. If your store ran at 65% last quarter and is now at 75%, something changed, a price increase, a checkout update or a shift in traffic quality. The trend tells you more than the absolute number.


How to reduce cart abandonment

The most effective fixes target the actual causes rather than just recovering lost carts after the fact.

Show shipping costs early. Displaying estimated shipping on the product page or in a site-wide banner eliminates the biggest surprise. If you offer free shipping above a threshold, make it prominent, “Add €12 more for free shipping” is a conversion driver at the cart stage.

Offer guest checkout. Removing the account creation requirement typically reduces abandonment by 10, 15%. You can still offer account creation post-purchase, when the barrier is much lower.

Simplify the checkout flow. Reduce form fields to the minimum required. Use address autocomplete. Show a clear progress indicator. Every second of load time and every extra click increases drop-off.

Add trust signals. Return policy, secure payment badges and customer reviews near the checkout button reduce hesitation, particularly for first-time buyers.

Set a free shipping threshold. If your current average order value is €38, a free shipping threshold at €50 can simultaneously reduce abandonment (by removing the cost surprise) and increase AOV (by motivating shoppers to add another item).

Recovery emails. A well-timed email 1, 2 hours after abandonment, reminding the shopper what they left, with a clear return link, converts 5, 10% of abandoned carts. This doesn’t fix the underlying problem but it does recover some otherwise-lost revenue.


Tracking cart abandonment in WooCommerce

WooCommerce provides basic order data but doesn’t natively surface cart abandonment rate in a useful, trackable format.

Burst Pro’s WooCommerce analytics tracks the full checkout funnel: from product page to cart, cart to checkout, checkout to order completion. You can see exactly where sessions are exiting your funnel and how abandonment rate changes over time or by traffic source.

Visitors who abandon from paid campaign traffic may have different reasons than those abandoning from organic search. Seeing abandonment by source helps you diagnose whether the problem is in the checkout itself or in the traffic you’re sending to it.

All data is stored on your own WordPress server, no third-party receives your customer behaviour data.


FAQs

Is 70% cart abandonment rate normal?

Yes, for most ecommerce categories. It sounds alarming but it’s the industry reality. The relevant question is whether your rate is improving over time and whether it’s in line with your category. Focus on the gap between your current rate and what’s achievable with checkout optimisation. For many stores, cutting abandonment by 10 percentage points is realistic with targeted changes.

What’s the difference between cart abandonment rate and checkout abandonment rate?

Cart abandonment counts all shoppers who added items to their cart but didn’t complete a purchase, including those who never reached the checkout page. Checkout abandonment counts only shoppers who started the checkout process but didn’t finish. Checkout abandonment tends to be lower and often points to specific friction in the payment flow.

Should I focus on recovery emails or checkout optimisation first?

Checkout optimisation first. Recovery emails treat the symptom; fixing the checkout treats the cause. A better checkout experience reduces the pool of abandoned carts that need recovering. Start by identifying the specific step in your checkout where the most visitors drop off, fix that, then layer in recovery emails as a supplemental revenue channel.

How do cookie banners affect cart abandonment?

More than most store owners realise. A cookie consent wall that fires before or during checkout interrupts the buying moment and creates an off-ramp. Visitors who decline or dismiss the banner and can’t easily return to checkout are effectively lost. Cookieless analytics eliminates this friction entirely. No banner, no interruption.


See where your checkout is losing customers

Cart abandonment rate tells you how many shoppers you’re losing. Burst Pro tells you exactly where in the funnel. WooCommerce analytics, checkout funnel tracking and conversion data, all inside WordPress, all on your own server.

Understand your customers without the cookie banner

Track WooCommerce conversions, funnel drop-off and revenue, without sending your customer data anywhere.

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Related definitions: what is conversion rate, what is exit rate and what is average order value.

Written by

Co-founder of Burst Statistics

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