# The Real Source of Shopify Checkout Abandonment Statistics, and Why They Vary So Much
> The most-cited Shopify checkout abandonment rate statistics are almost certainly wrong for your store; here's where the numbers actually come from and which ones matter.
Source: https://arbyn.app/blog/the-real-source-of-shopify-checkout-abandonment-statistics-and-why-the
Published: 2026-08-25
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The 70% cart abandonment rate is one of the most durable statistics in ecommerce, quoted so often it feels like a law of nature. For more than a decade, across thousands of articles and conference talks, the number has remained stubbornly fixed: for every ten customers who add a product to their cart, seven will leave without paying. This single figure drives multi-million dollar decisions in conversion rate optimization and underpins the entire cart recovery industry. The problem is, this universal number is an illusion. While the average Shopify checkout abandonment rate statistics do land near this mark, the figure itself is a composite, blending wildly different behaviors into a single, deceptively simple percentage. For any individual store owner, this 70% benchmark is almost certainly wrong, and relying on it can mask serious problems or create panic where none is warranted.

The truth is that abandonment rates are not monolithic. They are a sensitive instrument, fluctuating dramatically based on what you sell, who you sell it to, and what device they are using to browse your store. A 70% abandonment rate might be a sign of a healthy, functioning business in the fashion industry, where carts are often used as wishlists. That same 70% rate in the grocery sector, however, would signal a catastrophic failure in the checkout process. The real work for a store owner is not to chase a universal average, but to understand the specific forces that shape their own abandonment rate. It requires digging past the headline number to find the more granular data that tells the real story of customer intent and friction. This is not just an academic exercise; it is the foundation of any effective sales recovery strategy.

This audit of the web’s most-cited ecommerce statistic will trace the 70% figure back to its origin, deconstruct the methodologies that produce it, and reveal the underlying variables that cause it to swing so wildly from one store to the next. We will examine the deep splits between mobile and desktop behavior, the vast differences between industries like luxury goods and consumer staples, and the specific, addressable reasons customers give for leaving at the final step. The goal is not to disprove the 70% number, but to replace it with a more nuanced, actionable understanding of what your store's own abandonment rate is actually telling you. It is a signal, not just a grade, and learning to read it correctly is one of the most valuable skills in ecommerce.

Deconstructing the Universal Number: Where Does 70% Actually Come From?

The most consistently cited figure for cart abandonment, hovering around 70.19% or 70.22%, comes from the painstaking work of the Baymard Institute. It is crucial to understand what this number represents, because it is not the result of a single, massive, worldwide study. Instead, Baymard calculates this figure as a meta-analysis, or a rolling average, of dozens of other independent studies on the topic. As of their latest updates, this benchmark is an aggregate of 49 to 50 different large-scale studies conducted over more than a decade, from 2006 to the present. The remarkable consistency of this average, which has stayed between 69% and 71% for years, gives it an aura of authority and permanence. It suggests that despite massive technological shifts, the rise of mobile commerce, the introduction of one-click payments, and countless checkout redesigns, the fundamental behavior of online shoppers has not changed. Seven out of ten will leave.

However, the strength of this aggregated average is also its greatest weakness for an individual store owner. By blending so many different studies, the 70% figure smooths out all the critical details. Those 49+ studies cover different time periods, diverse industries, various geographic regions, and a wide array of business models. The abandonment rate for a German automotive parts store in 2018 is averaged with a US-based fashion retailer in 2024. The result is a number that is statistically robust but operationally useless as a direct target. No single store operates in this "average" environment. Individual studies included in Baymard's calculation show abandonment rates ranging from as low as 55% to as high as 84.27%. This enormous range is where the real insights are found. The 70% figure is the center of gravity, but the important stories are happening at the extremes.

Furthermore, a significant portion of these abandonments are not a sign of failure at all, but a natural part of the online shopping process. Baymard's own qualitative research found that when shoppers are asked why they abandoned a cart, the most common reason is simply that they were browsing, comparing prices, or not yet ready to buy. One study found this "just browsing" segment accounted for 42% of abandonments. These are not lost sales in the traditional sense; they are shoppers using the cart as a research tool, a wishlist, or a calculator. From a store owner's perspective, these abandonments are largely unavoidable and should not be treated the same as a user who leaves because of a technical error or a surprise shipping fee. The 70% statistic makes no distinction between a shopper who had no intention of buying and one who was desperate to buy but was prevented by a broken checkout. This is the central flaw in using it as a performance metric.

The Real Drivers of Variance: Device, Industry, and Intent

The most significant variable tearing the 70% average apart is the device the customer is using. The gap between mobile and desktop abandonment rates is not just large; it is a persistent, structural feature of ecommerce that has survived years of "mobile-first" design. Recent data shows mobile cart abandonment rates as high as 77% to 85%, while desktop rates are substantially lower, typically in the 65% to 70% range. This creates a gap of 12 percentage points or more, a massive difference that can single-handedly explain why a store's overall abandonment rate is higher than they expect. With mobile traffic now accounting for the majority of sessions for many Shopify stores, the frustratingly poor conversion experience on a small screen has an outsized impact on the bottom line. This friction comes from multiple sources: the difficulty of typing shipping and payment details on a touch keyboard, slower page load times on cellular networks, and the simple fact that mobile users are more prone to distraction.

Just as powerful is the influence of industry. What a store sells is one of the strongest predictors of its "natural" abandonment rate. High-consideration, high-cost categories like travel, luxury, and furniture consistently post the highest abandonment figures. The travel and airline industries see rates of 87%, while luxury and jewelry can be as high as 82%. Fashion and apparel is also notoriously high, often exceeding 84%. This is not necessarily a sign of bad checkout design. In these sectors, customers engage in prolonged comparison shopping, and the cart functions as a holding pen for options. No one impulse-buys a cruise; they build several potential itineraries across different sites before committing. Conversely, industries dealing in necessities or repeat purchases see much lower abandonment. Food and beverage can be as low as 38%, with pet care and consumer goods also sitting well below the 70% average. For a store owner, comparing your 80% abandonment rate in fashion to the global 70% average is pointless; comparing it to the 84% fashion benchmark is what provides real context.

Finally, the source of the traffic, which reveals the customer's initial intent, plays a critical role. A visitor arriving from a targeted search ad for a specific product has a fundamentally different level of purchase intent than someone who clicked a link from a social media feed. Paid search traffic often has a higher abandonment rate because the user is still in an evaluation phase, comparing multiple options from search results. Direct traffic, where a user types your URL into their browser, often has the lowest abandonment rate, as it signifies high brand affinity and a pre-existing intent to purchase. Email traffic from your own list also performs well for the same reason. Segmenting your abandonment rate by traffic source can uncover valuable insights. A high abandonment rate from organic search might point to a mismatch between your product page content and the user's search query, while a high rate from a specific ad campaign could indicate that the ad is setting incorrect expectations about price or availability.

Beyond the Percentage: What Checkout Abandonment Statistics Actually Measure

While the overall rate provides a top-level diagnostic, the most actionable data comes from understanding *why* shoppers abandon their carts. This moves the conversation from an abstract percentage to a concrete list of problems to solve. Year after year, the reasons customers give for leaving at the final step remain remarkably consistent. The single biggest culprit, cited by nearly half of all abandoners (around 48%), is unexpected extra costs. This includes shipping fees, taxes, and other handling charges that are only revealed on the final checkout page. A customer makes a mental commitment to a price on the product or cart page. When that price suddenly increases at the moment of payment, it breaks trust and feels like a bait-and-switch, causing an immediate retreat. This is arguably the most preventable cause of abandonment, as it is a direct result of a store's pricing transparency strategy.

The second and third most common reasons are related to friction and trust. Being forced to create an account is a major point of contention, responsible for around 26% of abandonments. In an era of instant gratification, the hurdle of creating a new username and password for a one-time purchase is often too high. Offering a prominent guest checkout option is the standard solution. Directly following this is a long or complicated checkout process, which also drives away about 17-26% of potential buyers. Baymard Institute's research found the average checkout flow has nearly 24 form elements, while an optimized flow can be as short as 12 to 14. Every unnecessary field and every extra step is a chance for the customer to lose momentum and second-guess their purchase. This is closely tied to security concerns; if a site looks unprofessional or doesn't display clear trust signals, around 17-25% of users will abandon rather than risk their credit card information.

Below is a table summarizing the top reasons for checkout abandonment, based on aggregated data from Baymard Institute's user surveys. These are not Shopify-specific issues but universal ecommerce challenges. The percentages represent the share of shoppers who cited that specific reason for abandoning a purchase in the last three months. Because users could select multiple reasons, the totals do not add up to 100%. This data provides a clear roadmap for any store owner looking to diagnose their own checkout process. If your abandonment rate is high, the cause is almost certainly found in one or more of these common points of friction.

| Rank | Reason for Abandonment | Percentage of Shoppers |
| :--- | :--- | :--- |
| 1 | Extra costs were too high (shipping, taxes, fees) | 48% |
| 2 | The site required me to create an account | 26% |
| 3 | Delivery was too slow | 20% |
| 4 | I didn’t trust the site with my credit card information | 19% |
| 5 | The checkout process was too long or complicated | 17% |
| 6 | The website had errors or crashed | 17% |
| 7 | The returns policy was not satisfactory | 13% |
Source: Data compiled from Baymard Institute studies.

How Shopify Itself Influences Your Checkout Abandonment Rate

For the millions of businesses built on the platform, it is impossible to discuss checkout without discussing Shopify's own role in the process. The platform exerts a powerful influence, both positive and negative, on a store's final conversion numbers. On one hand, Shopify provides one of the most optimized, secure, and fastest checkouts available to mainstream businesses. The average Shopify store checkout completion rate tends to be a few percentage points better than the wider ecommerce average, a direct benefit of the company's relentless focus on performance and usability. Features like accelerated checkouts, particularly Shop Pay, are a significant advantage. Shopify's own data has shown that checkouts flowing through Shop Pay can have a conversion lift of up to 50% for returning customers, simply by pre-filling all shipping and payment details and reducing the process to a single tap. This directly attacks the major abandonment drivers of a long, complicated process and the friction of manual data entry on mobile.

The global infrastructure also helps. Shopify's servers are distributed worldwide, ensuring that checkout pages load quickly for customers regardless of their location. This helps mitigate abandonment caused by slow performance or site crashes, a factor that accounts for a surprising 17% of lost carts on other platforms. The standardized, familiar look and feel of the Shopify checkout also builds inherent trust. Millions of shoppers have used it before and recognize the layout, payment options, and security assurances, which helps to alleviate the 19% of abandonments caused by a lack of trust in the site with payment information. By handling the security, payment processing, and core usability, Shopify provides a baseline of quality that independent stores would find difficult and expensive to replicate on their own. This foundation allows store owners to focus on other aspects of their business, confident that the final transaction step is stable and reliable.

However, this standardization is also a constraint. For store owners not on Shopify Plus, the checkout process is largely locked down and cannot be customized. While this prevents store owners from inadvertently breaking their own checkout, it also limits their ability to implement certain conversion optimization strategies, such as custom form fields, unique trust badges, or a truly one-page checkout experience. All non-Plus stores share the same three-page checkout flow (Information -> Shipping -> Payment). This uniformity means that a store cannot fully differentiate its checkout experience from its competitors. While Shopify's checkout is excellent, any unique optimization opportunities are limited to what the platform allows through its app ecosystem and theme settings. This trade-off between stability and flexibility is a core part of the Shopify experience. You gain world-class performance and security in exchange for giving up granular control over the final, most critical pages in the customer journey.

From Statistic to Strategy: Using Abandonment Data to Recover Sales

Understanding the source and variance of shopify checkout abandonment rate statistics is the diagnostic phase. The next step is turning that data into a revenue recovery strategy. The first line of defense is proactive prevention. Given that unexpected costs are the number one reason for abandonment, the most impactful change a store can make is to surface shipping costs and taxes as early as possible. This can be achieved with shipping calculators on the cart page, announcement bars promoting free shipping thresholds, and clear communication on product pages. A progress bar in the cart showing "You're $15 away from free shipping!" is a classic tactic that both reduces abandonment and increases average order value. Similarly, offering a prominent guest checkout option directly addresses the second-biggest reason for abandonment and is a simple setting to enable in the Shopify admin. These are not complex technical projects; they are strategic decisions about transparency and friction.

The second layer is active recovery. Not all abandoned carts can be prevented, but a significant portion can be recovered. The most common tool for this is the abandoned cart email flow. These automated emails, sent to users who start the checkout process but do not complete it, have dramatically higher engagement than standard marketing emails. Open rates can be as high as 40-50%, with click-through rates around 9.5%. An effective recovery series does not just send a single reminder. It typically involves a sequence of 2-3 emails: the first, sent within an hour, is a simple reminder; the second, sent 24 hours later, might re-iterate product benefits or introduce social proof; a third, sent after 48-72 hours, could offer a small incentive like a discount or free shipping to close the deal. The goal is to be helpful and overcome the hesitation that caused the abandonment in the first place, without being overly aggressive.

More advanced strategies now focus on intervening before the customer even leaves the site. Exit-intent technology can detect when a user's cursor is moving towards the back button or to close the tab, triggering a last-second offer or a message in a chat window. This allows a store to address a potential objection in real-time. For example, if a user is hesitating on the shipping page, an AI-powered chat agent could proactively offer to clarify shipping times or costs. This conversational approach can feel more personal and be more effective than a static popup. The key is to shift from passively measuring abandonment to actively engaging with the behaviors that signal it. The abandonment rate is not just a number to report; it is a live signal of customer friction, and the stores that grow are the ones that listen to that signal and respond to it with a clear, multi-layered strategy.

The checkout abandonment rate is not a single number to beat, but a continuous signal from your customers about friction and intent. Listening to that signal by analyzing your own data is the first step. Acting on it, however, is where revenue is found. Many of the triggers for abandonment, hesitation on a specific page, time spent in the cart, or exit intent, are detectable moments where a proactive system can make a difference. Instead of waiting to send a recovery email hours later, tools like Arbyn use these signals to start a conversation in real-time, answering questions about shipping or offering a relevant discount code before the visitor ever leaves. For stores ready to move from passive measurement to active recovery, you can install Arbyn from the Shopify App Store and turn abandonment signals into sales conversations.
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## Pricing

- **Arbyn Starter** - $0/month, permanently free. 150 conversations / month. Resets 1st of each month.
- **Arbyn Growth** - $59/month flat. 500 conversations / month. Resets 1st of each month. Or $600/year (just under two months free, saves $108, 15% off).
- **Arbyn Agent** - $99/month flat. Unlimited conversations. Or $990/year (two months free, saves $198, 17% off).
- **There is no trial.** Billing starts immediately on any paid plan. The free Arbyn Starter plan is permanent.
- The conversation cap is the only difference between plans. There is no feature gating.

## Channels

Live today: **support email** and **on-site live chat**. That is the complete list.

SMS, Instagram DMs, Facebook Messenger, WhatsApp and Voice are on the roadmap and are NOT live. Arbyn does not edit orders or change line items. Money-moving actions (cancel, refund, discount, gift card, reship, return) require the store owner's approval, and then Arbyn performs them. Running them fully autonomously is a beta authorization and is in development. Shipping address changes are already autonomous.

## What Arbyn does on a Shopify order

- **Change the shipping address**: Live. Arbyn does this on its own. Arbyn updates the shipping address on the Shopify order itself, inside the conversation, and writes the change to the order timeline.
- **Cancel an order**: Live. You approve it, then Arbyn cancels the order. Anything that moves money waits for the store owner's approval. That is a deliberate control, not a missing feature. Once you approve, Arbyn fires Shopify's order cancellation itself and confirms it to the customer.
- **Issue a refund**: Live. You approve it, then Arbyn issues the refund. Arbyn prepares the refund against the original payment method and sends it to you. On approval it files the refund in Shopify. You can cap the value it is allowed to prepare, per channel.
- **Apply a discount**: Live. Arbyn creates a real Shopify discount and applies it to the cart, handing the shopper a checkout with the code already on it. It can also issue a discount code on an order once you approve it.
- **Send a gift card, or reship an order**: Live. You approve it, then Arbyn does it. Arbyn creates the gift card, or raises the replacement order, in Shopify once you approve.
- **Start a return**: Live. You approve it, then Arbyn opens the return. Arbyn opens the return in Shopify on your approval.
- **Look up a gift card or store-credit balance**: Live. Arbyn does this on its own. "Do I have store credit left?" is a question most support tools answer with a human. Arbyn reads the balance itself, for a verified customer or from the code they give you, and reports the masked card, the balance and the expiry. If there is no card, it says so rather than guessing.
- **Handle a subscription question**: Live. You choose what it does. Arbyn knows which of your products are sold as a subscription, shows that on the product card in the conversation, and sends a subscriber to their subscription management page to pause, skip or cancel. It answers how your subscriptions work from your own knowledge, but it does not read an individual customer's contract, so it will not state their renewal date or status. Most cancels are a customer with product piling up, and the fix is getting them to the page where they can slow the cadence down. Reading the contract itself is on the roadmap.
- **Answer support email and live chat**: Live. Arbyn reads every inbound support email and every chat, works out the intent, pulls the live Shopify context, and replies in your brand voice.

Money-moving actions (cancel, refund, discount, gift card, reship, return) require the store owner's approval, and then Arbyn performs them. Running them fully autonomously is a beta authorization and is in development. Shipping address changes are already autonomous.