Shopping Cart Abandonment Statistics (2026): Rates, Reasons, and Recovery Data
Every figure below is attributed to a named source with its publication year and geography. Baymard Institute is the primary authority for the headline rate. Platform benchmarks (Klaviyo, SaleCycle) are labeled self-reported. Nothing here is invented or estimated by the author.
Shoppers add items to a cart and leave without buying more often than they complete the purchase. For ecommerce and demand-gen teams, cart abandonment is not an edge case; it is the default outcome of most sessions. This page compiles the current, verifiable numbers so you can benchmark your own funnel against primary data rather than vendor marketing claims.
Answer: The average documented online shopping cart abandonment rate is 70.22%, calculated by Baymard Institute from a meta-analysis of 50 separate studies (last updated September 22, 2025). That means roughly 7 of every 10 carts never convert. The rate has held in the high-60s to low-70s range for over a decade, so abandonment is a structural feature of online retail, not a recent spike.
What is the average cart abandonment rate in 2026?
70.22% is the benchmark average, per Baymard Institute’s meta-analysis of 50 studies (updated September 22, 2025). Individual studies in that set range widely, so treat 70% as a directional industry baseline rather than a target for any single store.
| Metric | Value | Basis |
|---|---|---|
| Average documented abandonment rate | 70.22% | Meta-analysis of 50 studies |
| Historical range (past decade+) | High 60s to low 70s % | Compiled averages over time |
| Carts that do not convert | ~7 in 10 | Derived from 70.22% average |
A note on definitions: cart abandonment counts any session where items were added but no purchase was completed. Checkout abandonment is the narrower metric that measures drop-off after a shopper formally begins checkout. The two are often conflated in vendor reports, which inflates confusion when comparing figures (Baymard Institute, 2025).
Why do shoppers abandon carts?
The top reason is cost. 39% of US shoppers who abandon do so because extra costs (shipping, tax, fees) were too high, per Baymard Institute’s checkout survey (2024, n=4,329 US adults). Most leading causes are fixable through checkout design, not price cuts.
| Reason | Share citing it |
|---|---|
| Extra costs too high (shipping, tax, fees) | 39% |
| Delivery was too slow | 21% |
| Did not trust site with card information | 19% |
| Site wanted a mandatory account | 19% |
| Checkout too long or complicated | 18% |
| Could not see or calculate total cost upfront | 14% |
Read these together with your own funnel analytics. If your cart-to-checkout drop is high, surface total cost (shipping included) before the shopper commits. If checkout-to-purchase is the leak, shorten the form and add guest checkout. For a structured view of where to measure, see our conversion rate benchmarks.
How does abandonment differ by device?
Mobile abandons most, at 80.45%, versus 68.62% on desktop (Dynamic Yield XP2 benchmark, trailing 12 months, 2026). The gap is driven by small screens, slower form entry, and inconsistent one-tap payment support on mobile checkouts.
| Device | Abandonment rate |
|---|---|
| Mobile | 80.45% |
| Tablet | 71.75% |
| Desktop | 68.62% |
How does abandonment differ by industry and region?
Beauty and Personal Care has the highest abandonment at 83.01%; Pet Care and Veterinary Services the lowest at 51.29% (Dynamic Yield XP2, 2026). By region, APAC leads at 80.82%, ahead of EMEA (79.74%) and the Americas (74.44%).
| Segment | Abandonment rate |
|---|---|
| Beauty & Personal Care (highest industry) | 83.01% |
| Pet Care & Veterinary Services (lowest industry) | 51.29% |
| APAC (region) | 80.82% |
| EMEA (region) | 79.74% |
| Americas (region) | 74.44% |
How much revenue is recoverable?
Baymard estimates a 35.26% average conversion uplift is achievable through checkout-design improvements alone, equal to roughly $260 billion in recoverable orders across US and EU ecommerce (Baymard Institute, 2025). The opportunity is in UX, not discounting.
This figure is a modeled estimate of what better checkout flows could recover, not booked revenue. It is useful for sizing the business case for checkout work, which is where our demand generation and lead generation programs typically find the fastest wins.
How well do abandoned-cart recovery emails perform?
On Klaviyo’s platform, abandoned-cart flows average a 50.5% open rate, 3.33% placed-order rate, and $3.65 revenue per recipient (Klaviyo, 2023 platform data across 143,000+ flows, self-reported). The top 10% of brands earn about $28.89 per recipient, roughly 8x the average.
| Metric | Value | Source |
|---|---|---|
| Average open rate | 50.5% | Klaviyo, 2023 |
| Average click rate | 6.25% | Klaviyo, 2023 |
| Average placed-order rate | 3.33% | Klaviyo, 2023 |
| Revenue per recipient (average) | $3.65 | Klaviyo, 2023 |
| Revenue per recipient (top 10%) | $28.89 | Klaviyo, 2023 |
| Average open rate | 54.02% | SaleCycle, 2024 |
SaleCycle also reports that multi-email sequences timed across roughly 1 hour, 24 hours, and 72 hours after abandonment can lift recovery performance by up to 30% (SaleCycle, 2024, self-reported). Because these are vendor-reported with different denominators, use them to set internal direction, then measure your own flows. Responding fast matters here the same way it does in our speed-to-lead statistics.
How to reduce cart abandonment
The data points to checkout friction and cost surprise as the controllable levers. A practical sequence:
- Show total cost early. Display shipping, tax, and fees before checkout begins, since 39% abandon over unexpected costs (Baymard, 2024).
- Offer guest checkout. Remove mandatory account creation, cited by 19% of abandoners (Baymard, 2024).
- Shorten the form. Cut optional fields and use address autofill to address the 18% who leave over a long or complicated checkout (Baymard, 2024).
- Add trust signals at the payment step. Visible security cues and a clear return policy answer the 19% who distrust the site with card data (Baymard, 2024).
- Fix mobile checkout. Support one-tap and digital wallets, since mobile abandons at 80.45% versus 68.62% on desktop (Dynamic Yield, 2026).
- Run a timed recovery sequence. Send multiple abandoned-cart emails across the first few days, a pattern associated with up to 30% better recovery (SaleCycle, 2024, self-reported).
- Measure your own funnel. Separate cart abandonment from checkout abandonment so you fix the right step.
Want a prioritized plan for your checkout and funnel? Book a consultation with CO Consulting.
Frequently asked questions
What is the average cart abandonment rate?
70.22%, based on a meta-analysis of 50 studies (Baymard Institute, updated September 22, 2025). About 7 of every 10 carts do not convert.
Has the abandonment rate changed much over time?
No. The compiled average has stayed in the high-60s to low-70s percent range for over a decade, so it is a structural baseline rather than a recent trend (Baymard Institute, 2025).
What is the number one reason people abandon carts?
Extra costs at checkout (shipping, tax, fees), cited by 39% of US abandoners (Baymard Institute, 2024, n=4,329).
How is cart abandonment different from checkout abandonment?
Cart abandonment counts any session with items added but no purchase. Checkout abandonment measures drop-off only after formal checkout begins (Baymard Institute, 2025).
Do mobile shoppers abandon more than desktop?
Yes. Mobile abandons at 80.45% versus 68.62% on desktop (Dynamic Yield XP2, 2026).
Which industry and region abandon most?
Beauty and Personal Care is highest at 83.01% and Pet Care lowest at 51.29%; by region APAC leads at 80.82% (Dynamic Yield XP2, 2026).
How much revenue is recoverable from abandoned carts?
Baymard estimates a 35.26% conversion uplift from checkout fixes, roughly $260 billion across US and EU ecommerce (Baymard Institute, 2025). It is a modeled estimate, not booked revenue.
Should I trust vendor recovery-email statistics?
Treat them as self-reported platform benchmarks with inconsistent denominators, not independently audited averages (Klaviyo and SaleCycle, self-reported).