--- title: "Cart Abandonment Rate 2026: Benchmarks & What Counts as Good" description: "The average cart abandonment rate in 2026 is about 70% (Baymard). How to calculate checkout abandonment, what is a good rate for digital products, and why the raw number lies." url: https://www.snagr.sh/blog/checkout-abandonment-rate-benchmarks source: https://www.snagr.sh/blog/checkout-abandonment-rate-benchmarks.md date_published: 2026-06-24 date_modified: 2026-09-07 keywords: ["cart abandonment rate", "checkout abandonment rate", "average cart abandonment rate", "average checkout abandonment rate", "checkout abandonment benchmark", "digital product checkout conversion"] site: Snagr --- # What Is a Good Cart Abandonment Rate? (2026 Checkout Benchmarks) > The average cart abandonment rate in 2026 is about 70% (Baymard). How to calculate checkout abandonment, what is a good rate for digital products, and why the raw number lies. The average **cart abandonment rate in 2026 is about 70.2%**, according to the Baymard Institute meta-analysis of roughly 50 studies.[1] That means seven of every ten people who start a checkout never pay. This guide covers how to calculate **checkout abandonment rate** (the same formula, used when there is no separate cart), what counts as good for digital products, and why the raw number almost always overstates recoverable revenue. ## Cart abandonment rate vs checkout abandonment rate Ecommerce stores report **cart abandonment rate**: items added to a cart that never reach payment. Polar, Lemon Squeezy, and most SaaS checkouts skip the cart — the hosted checkout _is_ the cart — so the honest metric is **checkout abandonment rate**. Google treats the two phrases as the same research query. Use this formula either way: `abandonment rate = (checkouts started − checkouts completed) ÷ checkouts started` So if 343 people began a checkout last month and 37 paid, your abandonment rate is (343 − 37) ÷ 343 = **about 89%**. The inverse, your completion or conversion rate, would be roughly 11%. ## What is the average checkout abandonment rate? The most reliable public benchmark is the Baymard Institute average, which sits at **70.22%** as of 2026, calculated across roughly 50 separate studies and updated as new ones are published.[1] In other words, about seven of every ten started checkouts are abandoned. But the average hides an enormous spread. Baymard’s underlying data ranges from the low 50s for routine, low-priced purchases (grocery near 50%, pet care around 52%) up into the 80s and 90s for high-consideration categories (finance and travel in the 81 to 91% band, B2B around 82%).[1] So treat 70% as a loose anchor, not a target, and compare yourself to your own category and your own trend. Digital products, SaaS subscriptions, and creator tools, the kind of thing sold through platforms like Polar, Lemon Squeezy, and Gumroad, behave differently from a physical-goods cart. There is no shipping cost to scare people off and usually no multi-step cart, but there are other forces pushing the number around, which is why a raw rate can be misleading. ## Why the raw number lies (especially for cheap digital goods) Before you panic about an 80 or 90% abandonment rate, understand what is actually inside it. Three things inflate the figure without representing lost, recoverable demand: - **Card-testing bots.** Low-priced digital products are a favorite target for fraudsters validating stolen cards with small charges. These show up as started checkouts with throwaway or blank email addresses, then never complete. They are not real buyers, and chasing them with emails is pointless. - **Window shoppers.** Some people open a checkout to see the final price or currency, then leave with no intent to buy today. - **Duplicate and test sessions.** You, your teammates, and curious visitors all create started checkouts that were never going to convert. Case study · our Polar store Started343 Completed37 Recovered$145 We ran our own recovery on a live Polar store for one month. The gross abandonment rate was **89%**, which looked alarming until we segmented out card-testing bots and throwaway email addresses. After following up with genuine abandons, we recovered revenue we would otherwise have lost. The gross rate was a scary headline; the recoverable rate was the number that actually mattered. The number that matters The useful metric is not your gross abandonment rate, it is your **recoverable** abandonment: real people, with real email addresses, who showed genuine intent and could still convert. On a small store that might be a fraction of the gross figure. Segmenting out bots and low-intent sessions before you measure (or email) is the difference between a vanity number and an actionable one. ## So what counts as a good rate? Rather than chase a universal benchmark, judge yourself against your own baseline and against the recoverable slice: - **Higher value, lower volume (subscriptions, $50+ products):** you should expect a lower abandonment rate and every abandon is worth chasing. Aim to recover as many of these as possible. - **Low price, high volume ($5 to $20 products):** a high gross abandonment rate is normal and partly noise. Focus on filtering fraud and recovering the genuine intent. - **Track the trend, not the absolute.** A rate that is falling month over month, with stable traffic quality, is the real win. ## How to reduce checkout abandonment There are two levers. The first is prevention: reduce friction in the checkout itself, with a clear price, minimal fields, trusted payment options, and an obvious value proposition. The second is **recovery**: following up with the people who left, since even a well-optimized checkout will lose the majority of starts. Recovery is where most of the upside hides, because prevention has a ceiling but a follow-up email costs almost nothing and can convert a meaningful share of genuine abandons. The mechanics matter though: you only want to email real buyers (not bots), send from a domain that lands in the inbox, and measure whether the email actually caused the conversion rather than taking credit for people who would have returned anyway. That last point, causal measurement, is what separates a recovery program you can trust from one that just claims numbers. A small randomized holdback (a percentage of abandons who get no email) gives you a control group, so the lift you report is the part your follow-ups actually caused. Next: see exactly how to [recover abandoned checkouts on Polar.sh](/blog/recover-abandoned-checkouts-polar), or estimate your own numbers with the [checkout abandonment calculator](/tools/checkout-abandonment-calculator). ## FAQ ### What is the average cart abandonment rate in 2026? Baymard Institute’s meta-analysis of ~50 studies puts the average documented online cart/checkout abandonment rate at about 70.2%. That means roughly seven of every ten started checkouts never complete. ### Is cart abandonment rate the same as checkout abandonment rate? For digital products sold on Polar, Lemon Squeezy, or Gumroad there is usually no separate cart — the checkout session is the cart. The formula is the same: (started − completed) ÷ started. Ecommerce sites with a multi-step cart report cart abandonment; SaaS and Polar merchants should report checkout abandonment. ### What is a good checkout abandonment rate? There is no universal good number. Grocery can sit near 50%; high-consideration B2B and travel sit in the 80s. For cheap digital goods, a high gross rate is normal because of bots and window shoppers. Track the recoverable slice (real emails, real intent) and the month-over-month trend. Sources 1. 1. [Baymard Institute — Cart & Checkout Abandonment Rate Statistics (2026, ~50 studies)](https://baymard.com/lists/cart-abandonment-rate)