Audit run by UXFix on 8 September 2026 against 115 rules. Every finding below is shown with the screen we captured, in the order they cost conversions. Nothing here was sponsored or reviewed by the store.
Grade C, needs work. Most points are lost on transparency and trust.
Each category is scored 0–100 from the rules that apply to it.
Cart shows full cost breakdown: items, shipping estimate, tax estimate. Shipping estimator (ZIP/country) available in cart. And 2 more.
Delivery expectation shown before final purchase. Contact/help option accessible during checkout (phone, chat). And 1 more.
Total form fields 8 or fewer (industry average is 11.3). Address autocomplete (Google/Loqate) present. And 6 more.
Add-to-cart CTA above the fold on mobile. Delivery/arrival date estimate shown. And 4 more.
Express wallet options (Apple/Google/Shop Pay) present in cart. Primary checkout CTA visually dominant on the page. And 2 more.
Across 25 audited stores, as of 8 September 2026. Method and full ranking: the UXFix ecommerce benchmark.
Scores above 83% of audited stores
The same rule pass UXFix runs on every store. No store data and no analytics access — everything below was observable from the public storefront.
Product page to payment step, one real product, both viewports.
When shipping, tax and totals first become visible to the shopper.
Field count, labels, autofill, error placement, recovery after a failed submit.
Payment marks, security copy, returns and contact reachability at the pay step.
Tap target sizes, thumb reach, keyboard type, viewport zoom on focus.
Whether an AI shopping agent can read price, stock and shipping from the page.
What we could not check: 20 rules could not be judged from the public storefront on the date above. They were dropped from the score, not guessed at.
115 rules were run. 20 could not be assessed and were dropped rather than guessed, leaving 95 scored. A further 3 findings are held back from this page because our wording for them was not fit to publish.
Rules already passing. No action needed on any of these.
The issues, in the order they appear below.
Right idea, wrong placement or timing: cart shows full cost breakdown: items, shipping estimate, tax estimate, full total including shipping and tax visible before payment entry and reviews present with summary rating visible above fold. And 10 more.
Each finding shows the screen as we captured it on 8 September 2026, what the problem is, and what it costs in conversions.
The cart does not show a full cost breakdown. Some of subtotal, shipping, tax, or total is missing before checkout.
Baymard research: 48% of shoppers abandon at checkout because of surprise costs. If the cart hides shipping or tax until the final step, you are training buyers to bail.
The full order total (including shipping and tax) isn't visible before the buyer starts entering payment details.
Surprise costs at the payment step are the #1 abandonment trigger in every study. Buyers want the final number before their card leaves the wallet.
The Add-to-Cart button is not visible above the fold on mobile. Shoppers have to scroll to find how to buy.
On mobile especially, buyers scan the top of the page and decide within seconds. If the primary purchase button isn't in that first view, many will leave before scrolling.
Add a sticky 'Add to Bag' button pinned to the bottom of the screen (below the color swatches row) so it's visible without scrolling, similar to how the green chat bubble is fixed in the corner.
The product page doesn't tell shoppers when their order will arrive. There is no delivery date or lead-time estimate.
Buyers often decide between two stores based on delivery timing, especially for gifts and urgent purchases. Uncertain timing pushes them to competitors who are clear.
The cart has no shipping estimator; shoppers can't preview shipping costs without starting checkout.
Unknown shipping costs are the single biggest cause of cart abandonment. An estimator answers the question before it becomes a reason to leave.
The cart does not clearly show tax, either as an amount or as a note that tax will be calculated at checkout.
Buyers in the US and Canada expect a tax line before they commit. Silence at the cart step means a jump in the total at checkout, and that jump is what makes them abandon.
The cart doesn't offer any express wallet button (Apple Pay, Google Pay, Shop Pay, PayPal Express).
Express wallets skip 60-80% of the checkout form. Shop Pay alone lifts checkout completion by ~1.7x. On mobile especially, one tap vs six form fields is the biggest single conversion lever left in ecommerce.
Add an express checkout section with branded buttons (Apple Pay, PayPal, Shop Pay) directly beneath the black 'CHECKOUT NOW' button in the Summary panel, rather than only listing generic payment icons in the site footer.
The checkout has more than 8 form fields. Industry-best checkouts collect 6-8 fields; industry-average is 11.3.
Every extra field drops conversion by roughly 2%. Fields cost you money in a direct, measurable way. A checkout with 13 fields loses ~10% of buyers compared to one with 8.
The checkout has no address autocomplete (Google Places, Loqate, SmartyStreets, or similar). Shoppers type every line of their address manually.
Address autocomplete cuts address-entry time roughly in half on mobile and drops delivery-failure rates from typos. It also feels premium, buyers notice.
The checkout page does not show when the order will arrive. Buyers commit to buying without knowing the delivery date.
Delivery timing is often the deciding factor between two stores. If your competitor tells the buyer "arrives Tuesday" and you say nothing, you lose. Especially for gifts.
The checkout has no signals declaring it can be driven by AI agents. No ACP or UCP meta tags, no /.well-known/agentic-commerce endpoint, no Stripe ACP integration.
OpenAI's Agentic Commerce Protocol (ACP) and Google's Universal Commerce Protocol (UCP) are the emerging standards for agent-driven checkout. Stores that declare readiness get preferential routing from ChatGPT and Google AI. This is 2026's biggest new distribution channel.
The product page shows no star rating or review summary above the fold. Shoppers have to scroll to find social proof.
Ratings are the fastest trust signal on a product page. A shopper who lands and doesn't see any social proof in the first view assumes it's a low-quality product or a new store.
Since this product currently has '(No Reviews)' next to empty stars, replace this with a clickable 'Be the first to review' prompt in the same spot to encourage engagement, and once reviews exist, display the numeric average (e.g. '4.5 (12 reviews)') directly beside the star icons under the product title.
The primary checkout button doesn't visually dominate the cart page. It competes for attention with promo-apply, save-for-later, or continue-shopping controls.
Cart is a decision moment. If the buyer's eye doesn't land on "Checkout" instantly, they scroll around, get distracted by promo hunting, and leave. Making the checkout CTA the biggest, brightest thing on the page measurably lifts completion.
Reduce the visual weight of 'TRY BEFORE YOU BUY' by making it a text link or smaller outlined button, so the black 'CHECKOUT NOW' button remains the clear single focal action.
The structured product data that AI shopping agents read (ChatGPT, Google, Copilot) is incomplete on this page. Some or all of these are missing: product ID (GTIN), brand, review data, availability, shipping details.
AI-referred traffic converts 42% higher than regular traffic (Adobe, 2026). But agents only recommend stores whose product data they can read. Incomplete data means invisible to AI shoppers.
On this long product page, the Add-to-Cart button disappears once the shopper scrolls down. There is no sticky bar that keeps it reachable.
Shoppers scroll deep into reviews and details, decide to buy, and then have to scroll all the way back up. Every extra scroll is a chance to get distracted and leave.
When a shopper selects a variant (size, color, style, or edition), the selected state isn't clearly indicated with both a visual highlight AND a text label.
Ambiguity here causes wrong-variant orders. The shopper thought they picked Large, actually picked Medium, and it costs you a return plus a lost repeat customer.
Add a clear selected-state style (e.g. black fill or green outline) to the chosen size swatch in the grid, and display confirmation text like 'Size: 12' near the size label so users can verify their selection at a glance.
The product page does not have a Q&A section or a real specifications table. Shoppers cannot answer their own questions before buying.
Considered purchases (electronics, appliances, tools, tech gear) live and die on the details page. When shoppers cannot find dimensions, materials, compatibility, or answers to obvious questions, they leave to research on Amazon or a competitor and often buy there instead.
Some interactive elements on the mobile page are smaller than 44x44 pixels. Fingers struggle to hit them accurately.
44x44 pixels is the minimum touch target Apple and the WCAG 2.2 guidelines recommend. Below that, mis-taps happen: buyers hit the wrong swatch, wrong quantity, wrong link, and abandon in frustration.
The cart does not show a delivery estimate for each item. Buyers cannot see when their order will arrive.
Delivery timing is the second-biggest factor after price, especially for gifts and urgent purchases. Uncertain arrival dates push buyers to competitors who are clear.
The checkout doesn't show which step the buyer is on or how many steps remain. It feels like an infinite form.
Not knowing how long a task will take is one of the strongest predictors of abandonment. A visible "Step 2 of 3" gives buyers the confidence to push through the next 30 seconds of typing.
Add a horizontal step tracker beneath the BODEN header (e.g., 'Contact & Delivery → Shipping → Payment') with the current step 'Contact & Delivery' highlighted in the same purple as the Shop button, so users know how many steps remain before reaching the £119.00 total.
The store logo in the checkout header links straight back to the homepage.
A stray click on the logo dumps the buyer out of checkout, and on some stores it also loses the form data. Small leak, easy fix.
The checkout uses separate First Name and Last Name fields instead of a single Full Name field.
Two fields cost two taps and two keyboard focuses on mobile. Baymard research shows a single Full Name field measurably lifts checkout completion, especially on phones.
Some input fields use `type="text"` when they should use `type="email"`, `type="tel"`, or `inputmode="numeric"`. Mobile keyboards do not adapt.
The wrong keyboard is a small papercut on every entry. Type an email on a phone with a QWERTY (no @ key) or a phone number without the number pad, and completion drops.
Personal-info fields are missing correct `autocomplete` attributes, or one is set to `autocomplete="off"`. Password managers and browser autofill do not work smoothly.
WCAG 2.2 requires autocomplete on personal-info fields for accessibility. Beyond compliance, correct autocomplete makes checkout a 2-tap experience for returning buyers, huge for mobile conversion.
The checkout does not offer a "Same as shipping" checkbox for the billing address, with the box checked by default. Buyers have to type their address twice. (This rule only applies to physical-product stores.)
For most orders, billing and shipping addresses are the same. Making the buyer re-enter their address is duplicate work and a common source of typos.
The phone number field is required with no explanation why. Buyers who value their privacy hesitate or abandon.
"Why does a t-shirt store need my phone number?" is a real objection. Without a rationale, some shoppers will not give it and will leave.
The checkout form uses placeholder-only labels: the field's purpose is shown as grey text inside the input, and disappears the moment the buyer starts typing.
Placeholder-only labels violate WCAG accessibility, but they also just cost sales. A buyer who types a wrong value, then forgets what the field was for, has to erase everything to see the label again. Frustration compounds.
Add small persistent labels (e.g. 'First name', 'Last name') above each input box in the Delivery section, similar to how 'Country/Region' has a static label above the dropdown, so the field identity remains visible once the shopper starts typing.
There's no visible way to reach help from the checkout page: no phone number, no chat widget, no "Need help?" link.
When something goes wrong mid-checkout (a declined card, a missing address field), a visible help option is the difference between recovery and abandonment.
Add a 'Need help?' or 'Contact us' link in the top header bar next to the BODEN logo and cart icon, or introduce a persistent chat bubble in the bottom-right corner so shoppers stuck on the payment or address fields can get support without leaving checkout.
The card-payment form is missing the `autocomplete` attributes mobile browsers need to autofill saved cards.
iOS and Android can autofill a saved card in one tap when the fields are labeled correctly. Without it, the buyer types 16 digits, expiry, and CVV manually, and many abandon.
The checkout does not declare support for delegated-payment (ACP tokenization). Agents cannot pass a tokenized payment method on the buyer's behalf.
Delegated-payment is the piece that actually lets agents complete a purchase without asking the buyer to type their card. Stripe and PayPal both support this via their ACP modes. Without it, agents can prep the order but hand it back to the buyer to finalize.
The quantity selector on this product page is either missing on mobile, or too small to tap comfortably.
Fat-finger errors turn quick purchases into frustrating ones. Apple's tap-target guideline is 44px minimum; anything smaller mistaps often on real thumbs.
Add a quantity stepper (- 1 +) to the left of the black 'Add to bag' button, matching its height (~44px), so users can select quantity before adding to cart instead of only choosing size/fit.
Cart line items do not include machine-readable product identifiers (SKU, GTIN, product_id). Agents see only display names.
Without a stable identifier per line, agents cannot cross-check items against a catalog, apply price rules, or reconcile the order. Display names change with translation and localization, they are not safe identifiers.
When an error message appears, the form visibly jumps, moving fields under the buyer's cursor or thumb.
Layout jumps cause mis-clicks and lose the buyer's place in the form. On mobile they routinely cause wrong-field input.
UXFix scores every store twice: once for human shoppers, once for the agents now doing the browsing on their behalf. Boden scores 64 for humans and 56 for agents. The gap is the part most stores have not looked at yet. 6 of the 12 agent rules are not fully met.
Derived from this store's own captured product-page content. Coverage judges whether that content answers each query — it is not a measurement of search volume or of what any AI currently recommends.
Boden (boden.com) scored 64/100 on 8 September 2026 in UXFix's independent audit of its product page, cart and checkout, judged on 95 of the 115 rules run.
The audit found 29 failing checks. The costliest: cart shows full cost breakdown: items, shipping estimate, tax estimate, full total including shipping and tax visible before payment entry and add-to-cart CTA above the fold on mobile.
Boden scores 56/100 on UXFix's AI Shoppers rules, which test whether an AI agent can read price, stock and shipping from the store and complete a purchase there.
UXFix ran the same 115 deterministic rules it runs on every store: a full purchase walk on desktop and mobile, from product page to payment step, using only the public storefront. No store data or analytics access was used, and every finding is shown with the captured screen.
Against 25 scored stores in the UXFix benchmark, Boden ranks 5 with 64/100. The benchmark median is 58. As of 8 September 2026.
Boden is not a badly built store. It passes 53 of 95 assessable rules. What it has is a band of friction between the product page and the payment step, and every part of it is named above.
The 33 findings above come to roughly 95 developer hours of estimated effort in total. Most are settings or template changes rather than rebuilds. A further 13 rules are only partly met and worth a look after these.
The pattern repeats across the stores we audit: the score is rarely lost on visual design, and it is rarely lost in one place. It is lost on when the cost appears, how many decisions stand between a shopper and paying, and whether a machine can read any of it.
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Recent audits from the same benchmark corpus.
