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    Ecommerce Growth & Retention

    Cart Abandonment Statistics (2026): Average Rate and Why Shoppers Leave

    Understand why shoppers leave and compare email, SMS and call results using the right measures for your store.

    Andreas Filippov, CMO

    CMO and co-founder of Loop Voice. Writes about cart abandonment, email, SMS and voice.

    Dec 7, 2025
    Updated Oct 13, 2026
    6 min read

    Key Takeaways

    • Average cart abandonment is 70.22% across 50 studies (Baymard Institute, 2025).
    • The 42% browsing figure is distinct from Baymard's fixable-reasons table.
    • Email and SMS reports measure clicks and revenue per recipient (Klaviyo, 2026).
    • Loop Voice customer call results use different denominators from email and SMS benchmarks.

    What is the average cart abandonment rate?

    The average documented cart abandonment rate is 70.22% across 50 studies (Baymard Institute, 2025). That figure measures unfinished carts, not the share of store revenue you have lost or the percentage a recovery tool can bring back.

    42% of US online shoppers abandoned because they were just browsing or not ready to buy (Baymard Institute, 2025). A cart is often part of product research, so not every abandoned cart represents a customer who would have purchased with a different reminder.

    Use the average as broad context, then inspect your own definition and checkout behavior. A checkout-start measurement and a cart-start measurement describe different parts of shopping and should not be treated as interchangeable.

    What reasons do shoppers give for leaving?

    The following figures exclude just browsing or not being ready to buy (Baymard Institute, 2025). They describe reported reasons among US online shoppers, not a distribution that adds up to all abandonment.

    ReasonUS shoppers reporting itPractical fix
    Extra costs too high: shipping, tax, fees40%Show the payable total and delivery charges early
    Delivery too slow20%State realistic arrival expectations before checkout
    Did not trust the site with card details19%Make the business, support and payment experience credible
    Site wanted an account18%Offer guest checkout
    Checkout too long or complicated17%Remove unnecessary form elements
    Website errors or crashes17%Test the complete checkout and repair failures
    Returns policy not satisfactory13%Explain return conditions before payment
    Could not see or calculate total cost up front12%Provide a clear total before the final step
    Card declined10%Explain the failure and offer another payment method
    Not enough payment methods9%Review the payment options shoppers actually need
    Pair the table with evidence from your store: checkout errors, support conversations, delivery questions and payment failures. A high ranking in the survey is a reason to investigate, not proof that it caused your particular store's unfinished checkouts.

    Avoid assigning a percentage to a cause you have not measured. A shopper can face several obstacles in the same checkout, and fixing a reported issue does not mean the same percentage of carts will become orders.

    How much opportunity comes from checkout design?

    About $260 billion of lost US and EU orders could be recovered through better checkout flow and design alone (Baymard Institute, 2025). Start by finding the obstacles in your own checkout before spending more on follow-ups.

    The average US checkout has 23.48 form elements, against 12 to 14 for an ideal flow (Baymard Institute, 2025). Count what people must enter, choose or confirm, and examine whether each request is necessary to deliver the purchase.

    Guest checkout, visible total costs and clear payment guidance address different obstacles. Test the whole purchase rather than only the cart page, because a smooth start can still end in an unclear shipping charge or an error at payment.

    Use the reduce abandoned carts hub to turn those observations into a practical checkout checklist. Keep the effect of checkout changes separate from orders attributed to later messages.

    What do email and SMS recovery benchmarks measure?

    The abandoned cart report covers 110,000+ Klaviyo customers and measures email and SMS click rates and revenue per recipient (Klaviyo, 2026). Use the same measures when comparing your reports.

    ChannelClick rateTop 10% click rateRevenue per recipientTop 10% revenue per recipient
    Email6.0%11.3%$6.77$13.70
    SMS10.3%18.5%$4.48$8.69
    Source: (Klaviyo, 2026). Email and SMS audiences can differ, while revenue per recipient is affected by order values, targeting and attribution; a higher click rate does not by itself establish a higher profit or more additional orders.

    Evaluate your results using the same denominator and attribution approach before comparing. An email recipient, an SMS recipient and an answered phone conversation are different units, so avoid placing their percentages together as if they measure the same event.

    What do Loop Voice customer call results show?

    Loop Voice customer data reports Modern Hearing at $300,000+ recovered, with 11% of calls becoming a sale. Warrior Will Power reports $200,000+ recovered from 1,184 calls, with 7.1% becoming a sale.

    CityMan USA reports $45,000+ recovered and 5% of calls becoming a sale, while CastleFlexx reports $30,000+ and 8%.

    The reported sales percentages concern calls, not all abandoned carts or all visitors. Compare your own calls with completed orders, keeping email recipients and cart starts separate.

    A merchant still needs its own order values, contribution margins, audience and attribution evidence. Your next campaign's profitability depends on its costs and the additional orders it brings in.

    What should these numbers change in your store?

    Use Baymard to prioritize checkout investigation and Klaviyo to understand the measures commonly used in recovery messaging. Review the customer stories for relevant uses, then test calls against your own costs and order margins.

    Keep a clear record of checkout starts, completed orders, contacted shoppers and recovered purchases. Record incentives, refunds and contact costs so an increase in attributed revenue does not hide a weaker contribution result.

    For calls, review permission separately from intent using the calling consent guide. Reaching payment or being a returning customer may be useful context, but it should not be presented as permission to make an artificial-voice marketing call.

    How Loop Voice does this

    Loop Voice attribution tracking ties recovered revenue to calls, helping you review recovery outcomes alongside the checkout reasons you investigate. Recovery agents use store, cart and customer context to answer questions and can send the appropriate link by SMS. Find the recovery and reporting capabilities on Loop Voice features.

    Frequently Asked Questions

    No. Treat them as reported reasons rather than mutually exclusive shares of a complete abandonment total. A shopper may encounter several obstacles, and the table excludes just browsing or not being ready to buy. Adding the responses would not tell you what percentage of your store's carts can be recovered after a checkout change.

    No. The top group describes results within Klaviyo's benchmark data, not a promised outcome from turning on an automation. Your audience, product prices, message relevance and attribution approach may differ. Compare matching measures after establishing your own baseline, and use additional contribution rather than a published revenue-per-recipient figure to justify spending.

    The report provides those measures, but they do not establish a universal causal explanation. Audience composition, order values and how messages are attributed can affect revenue independently of clicks. A click is not an order, so evaluate your own completed purchases and contribution rather than deciding that either channel is better from the headline figures alone.

    No. Keep each customer's result separate because the stores have different products, audiences and order values. The percentages describe calls that became sales, not every abandoned cart. Compare your own answered calls, completed orders and contribution after costs, and use a holdout to see whether the campaign added purchases that would not otherwise have happened.

    Sources

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