Checkout Friction: The Most Common CRO Issue in eCommerce
Last updated: July 2026 · By The CROBenchmark Team
Checkout friction is any point in the payment flow that adds hesitation, cognitive load, or an unexpected step between a shopper deciding to buy and finishing the purchase. CROBenchmark has scored 7,000+ stores in 15+ industries against 248+ audit criteria [CROBenchmark Report 2026, Omniconvert], and checkout is where shoppers who had already decided to buy get lost. You can see your own store's specific checkout friction points with a free CROBenchmark audit.
Checkout friction is defined as any element of the payment flow that adds hesitation or an unexpected step between deciding to buy and finishing the purchase. Average cart abandonment sits near 70% [Baymard Institute, 2025], and the usual causes are excessive form fields, forced account creation and shipping costs disclosed late. Each cause is independently fixable and testable, so no checkout rebuild is needed. This guide explains the four most common causes, how to fix them in order and where the evidence stops.
- Treat checkout friction as any element of the payment flow that adds hesitation or an unexpected step.
- Check checkout early, because it loses shoppers who had already decided to buy.
- Look first for excessive form fields, forced account creation and shipping costs disclosed late.
- Fix each cause on its own, since each is independently testable and no checkout rebuild is required.
- Prioritise checkout friction, because it is cheap to fix relative to what it costs when the visitor has already chosen to pay.
What counts as checkout friction, specifically?
Checkout friction is not a vague feeling, it is a set of concrete, checkable moments where a ready-to-buy shopper hesitates. The four most common are too many form fields, forced account creation before payment, shipping costs revealed late in the flow, and a missing or hard-to-find guest checkout option.
A friction point is defined as one checkable moment where a ready-to-buy shopper hesitates. Pair this with how to reduce cart abandonment for the fixes in order, and with what to do when cart abandonment is above benchmark for the diagnosis.
Defining the term precisely matters because "improve checkout" is not an action, while "cut the checkout from 14 fields to 8" is. Each of the four causes maps to a specific, measurable change: field count is a number you can reduce, forced signup is a toggle you can remove, shipping cost timing is a disclosure you can move earlier, and guest checkout is an option you can expose. Treating friction as these discrete, testable items is what turns a general complaint into a prioritised list of experiments. This is the finding-to-hypothesis method: every audit finding becomes a single falsifiable test rather than a line on an open-ended to-do list. It also keeps the work honest, because a hypothesis has a pass-or-fail outcome, while "make checkout better" never does. CROBenchmark applies the same 248+ criteria to every store it scores, so the friction it flags is comparable across 15+ industries and 8 platforms rather than a matter of whichever item a reviewer happened to notice first.
Why is checkout friction so often missed?
Checkout friction is a frequent finding because it is both widespread and easy to overlook from inside the business. A store owner who has completed their own checkout hundreds of times stops seeing the extra field or the shipping surprise that a first-time buyer meets cold, which is exactly why an outside audit catches it.
The external data lines up with what the audit sees. The Baymard Institute puts average documented cart abandonment at roughly 70%, and its research repeatedly finds that unexpected extra costs, shipping, taxes, and fees revealed late, are the single most cited reason shoppers leave a checkout [Baymard Institute, 2025]. Layer on the fact that mobile now accounts for the majority of eCommerce traffic [Statista, 2025], where small screens make long forms and surprise costs even more punishing, and it becomes clear why checkout is where the most revenue leaks. The friction was always there; most stores simply never measured it against a fixed criteria set.
The pattern shows up constantly in founder communities too. A recurring r/shopify question runs some version of "my traffic and add-to-carts look healthy but sales are flat, what am I missing?" The answer is almost always downstream: a checkout asking for a phone number it never uses, a shipping cost that only appears on the final screen, or a signup wall standing between an eager buyer and the pay button. None of these feel like a problem to the person who built the store, which is why they persist until something scores them from the outside.
Which checkout friction issues should you check first?
Excessive form fields and late-disclosed shipping costs are the two issues to check first, both common precisely because they are hard for an internal team to notice without an outside review. The table below lists each issue, what the shopper sees and the first fix to test.
| Checkout friction issue | What the shopper sees | First fix to test |
|---|---|---|
| Excessive form fields | A long form that asks for more than fulfillment needs | Cut optional fields and add address autocomplete |
| Shipping costs disclosed late | A total that first appears on the final screen | Show a shipping estimate before the checkout starts |
| Forced account creation | A signup wall between the cart and the pay button | Offer guest checkout and invite signup after the order |
| No or hidden guest checkout | A guest option that is hard to find | Make guest checkout the visible default |
| Too few payment options | No familiar wallet or local method | Add the methods your audience already uses |
Read this as a checklist for your own checkout rather than a promise. If you have not audited the flow, check field count and shipping disclosure first, because either one is a common reason a ready-to-buy shopper stalls. The audit tells you which of these apply to your store specifically and in what order to test them.
How to fix checkout friction without a full checkout rebuild
Most checkout friction fixes do not require a rebuild or a redesign, they are incremental changes you can test inside your platform's existing checkout options. Reducing form fields, surfacing shipping costs earlier, and enabling guest checkout are the highest-return moves most stores can make first.
- Cut the form to what fulfillment actually needs. Remove optional fields, use address autocomplete, and infer what you can (city and state from a postal code) so the shopper types less. The Baymard Institute finds the average checkout carries far more fields than fulfillment requires [Baymard Institute, 2025], which makes this the most common quick win.
- Show shipping cost before the final step. Add a shipping estimator or a clear cost line early so the total is never a late surprise, the abandonment trigger buyers cite most.
- Enable guest checkout. Let shoppers buy without creating an account, then offer signup on the confirmation page once the purchase is done, keeping the forced-signup barrier out of the highest-intent moment.
- Widen payment options. Add the wallets and methods your audience already uses so nobody stalls for lack of a familiar button.
On Shopify, field reordering, guest checkout, and several trust and payment settings are configuration changes available without a developer, while a custom shipping estimator or a bespoke one-page checkout may need build support. The discipline is the same either way: change one thing, run it to significance, keep the winners. This is where 13 years of Omniconvert CRO experimentation shows its value, the highest hit rate comes from testing the findings most likely to move revenue, not the ones easiest to spot.
What checkout friction actually costs: a worked example
The value of removing friction becomes concrete when you trace one issue through to a result. The path is always the same: a finding becomes a hypothesis, the hypothesis becomes a test, and the test either ships as a permanent gain or becomes a documented learning about your buyers.
Take a pairing from the table, a checkout that both asks for account creation before payment and reveals shipping cost only on the final step. That becomes two hypotheses: removing forced account creation will lift checkout completion, and surfacing shipping cost earlier will cut last-step abandonment. Each runs to significance on real traffic. On a store with meaningful checkout volume, either change can outweigh the cost of the audit and the testing tool combined, though the size of the lift depends on your traffic and your current flow. The audit did not guarantee the win, it pointed at the highest-probability place to look first, which is the whole point. Not every test wins, and a sound programme budgets for that: each losing variant still teaches you what your shoppers do not respond to, sharpening the next hypothesis. For a fuller walkthrough of turning findings into revenue, Omniconvert has documented the approach across 13 years of conversion case studies.
Limitations of this checkout friction data
These findings are a directional starting point, not a guarantee for any one store, and three limitations are worth stating plainly before you act on them.
First, the issue list describes where checkouts commonly leak, not what your specific checkout will do. Second, uplift depends on volume, below roughly a few thousand checkouts a month you may not reach statistical significance, so treat the audit as a design guide rather than a testing plan. Third, checkout is point-in-time, a platform update or a new payment integration can reopen a finding you had cleared, which is why a checkout audit is worth repeating after any material change. Confirm the size of each opportunity with a live test on your own traffic before treating any result as your own.
Teams often rebuild the whole checkout when the real problem is one late shipping line. The new design launches, abandonment barely moves, and the full total still first appears on the last screen.
AliveCor used Omniconvert to run a structured A/B testing programme and achieved +21% conversion rate, +5% revenue per visitor, and 94% statistical relevance across their experiments. [Omniconvert, AliveCor case study] Each checkout fix in this guide is a single testable hypothesis, which is how a programme like that stays readable.
Frequently asked questions
What is checkout friction?
Checkout friction refers to any element of the payment flow that adds hesitation or unexpected steps for a shopper, such as too many form fields, forced account creation, or late-disclosed shipping costs.
What is the most common checkout issue in ecommerce?
Excessive form fields and late-disclosed shipping costs are among the most common checkout issues, and unexpected extra costs are the most cited reason shoppers leave a checkout [Baymard Institute, 2025].
Does guest checkout actually improve conversion?
Enabling guest checkout removes a forced-signup barrier at the point of highest purchase intent, and it is consistently one of the higher-impact, lower-effort checkout fixes identified in CRO audits.
How many form fields should a checkout have?
There is no universal number, but reducing checkout fields to only what is strictly necessary for fulfillment (typically far fewer than most default checkout flows include) is a common, testable improvement.
Can I fix checkout friction without a developer?
Many fixes, like enabling guest checkout or reordering form fields, are available through standard Shopify checkout settings. More involved changes, like a custom shipping estimator, may need development support.
The bottom line
Checkout friction survives for a simple reason: it is everywhere and it is hard to see from the inside. The fix is not a rebuild, it is a ranked set of small, testable changes to fields, shipping disclosure, guest checkout, and payment options. Start with a free CROBenchmark audit to find your store's specific friction points, then move to the $29.99 full audit for the prioritised list across 248+ criteria that turns those findings into a checkout testing roadmap.