Audit run by UXFix on 31 August 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. Trust/security signals visible near payment step. And 2 more.
Reviews present with summary rating visible above fold. Returns/exchange policy visible on PDP (not buried in footer). And 4 more.
Shipping cost or estimate discoverable from PDP. Stock/availability state explicit (in stock, low stock, out of stock). And 3 more.
Currency shown consistent with user region.
Across 5 audited stores, as of 1 September 2026. Method and full ranking: the UXFix ecommerce benchmark.
Scores above 25% 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: 34 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. 34 could not be assessed and were dropped rather than guessed, leaving 81 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: no aggressive popup covering PDP within first 10 seconds, line items editable in place (qty, variant, remove) without page reload and total form fields 8 or fewer (industry average is 11.3). And 12 more.
Each finding shows the screen as we captured it on 31 August 2026, what the problem is, and what it costs in conversions.
Shoppers cannot see the shipping cost from this product page. They have to reach checkout to find out what shipping will cost.
Surprise shipping costs at checkout are the number-one reason people abandon carts. Baymard Institute research puts it at 48% of abandonments.
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 product page doesn't clearly say whether the item is in stock, low stock, or out of stock.
Stock signals affect two decisions. "In stock" builds confidence. "Only 3 left" adds urgency. Silence makes shoppers hesitate.
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.
Add a star rating with review count (e.g. '★★★★☆ 4.8 (32 reseñas)') directly beneath the 'Box Condolencias' title and above the $60,00 price, matching the green accent color used for 'AÑADIR AL CARRITO' to build trust before the CTA.
There's no returns or exchange policy communicated on the product page itself. Shoppers have to hunt the footer or FAQ to find it.
"What if I don't like it?" is the last question in every purchase. If the answer isn't obvious, hesitation kills conversion, especially for higher-price items and apparel.
Add a short returns/refund line (e.g. 'Garantía de satisfacción: si tu pedido no llega en buen estado, reembolsamos o reenviamos') directly under the two info boxes 'Foto de entrega' and 'Entregas rápidas' near the price, rather than only linking 'Política De Reembolsos' in the dark footer.
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.
Payment happens on a separate, third-party page instead of inline card fields inside your checkout.
Redirects break trust at the exact moment buyers are most alert. Familiar inline card fields (Stripe, Shopify Payments) convert measurably better.
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 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.
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.
An aggressive popup (newsletter, discount, chat prompt) covers this product page shortly after it loads. Cookie banners don't count; this is the newsletter-style overlay.
Popups on first visit interrupt intent. First-time shoppers are still evaluating; a modal that blocks the price or ATC is a fast way to lose them.
The floating green '¿Dudas?' WhatsApp chat bubble in the bottom-right corner doesn't block the price or ATC button, but it overlaps empty page space; consider shrinking it to an icon-only button or moving it lower once the user scrolls past the fold so it doesn't distract from the 'AÑADIR AL CARRITO' CTA above it.
Cart items can't be edited in place: quantity changes or removals are missing or require leaving the cart.
Shoppers adjust quantities at the last moment. If editing is hard, they either abandon or check out with the wrong items and return them later.
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.
Error messages are generic ('Invalid', 'Error') instead of telling the buyer exactly what to fix.
A buyer who doesn't understand the error can't fix it. Specific messages ('Enter a valid postcode, e.g. 11937') turn dead-ends into quick corrections.
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.
The product gallery only shows the product isolated on a white background. No lifestyle, in-use, or scale reference images.
White-background photos are neutral but not persuasive. Lifestyle images (worn, used, in a real setting) lift conversion 30-50% and cut returns because buyers understand the product better.
Add at least one lifestyle photo of the Box Condolencias in the main gallery carousel—e.g. the box being carried by the delivery person shown in the 'INFO DE ENTREGAS' van photo, or placed at a velatorio/home setting—to reassure buyers of real size and appearance in context.
A star rating is shown, but the number of reviews behind that rating is not visible.
"4.5 stars" from 3 reviews is very different from "4.5 stars" from 3,000. Shoppers use the count as a trust signal. Without it, the rating loses meaning.
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 cart only offers a "Remove" action. There is no "Save for later" or "Move to wishlist" option to hold the item without buying today.
A shopper who is not ready to buy today but likes an item will either remove it (and forget) or leave the tab open (and forget). Either way you lose the sale. A save-for-later button captures that intent.
There's no way to edit the cart from inside the checkout; fixing a quantity means abandoning the checkout flow.
Buyers often spot a mistake at the order summary. If fixing it costs their progress, some just quit.
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 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 payment step doesn't show any trust or security signals near the payment fields (padlock icon, "Secure checkout", PCI badge, Verified by Visa).
Buyers are at their most anxious when typing card numbers. A visible security signal near the field removes that anxiety and lifts conversion.
Add a small padlock icon with 'Pago 100% seguro' or 'Conexión SSL segura' text directly under the Visa/Mastercard/Diners/Discover/Payphone row (around y=0.68-0.72) so users see it right before entering card details, since currently only a Google rating badge appears far above near the header.
The checkout page doesn't link the returns / refund policy. Shoppers who want to check before buying can't find it.
First-time buyers often confirm the return policy in the moments before they pay. A quick link removes the last barrier without pulling them out of checkout.
Add a 'Política de devoluciones' link next to the existing 'política de privacidad' link in the payment disclaimer text, or place a 'Devoluciones y reembolsos' link in the dark footer bar alongside the city list, since flowers/condolence items often need clear no-return or exchange terms before purchase.
On mobile, the order total is only visible after scrolling past the entire form. There's no sticky summary bar or one-tap toggle at the top.
Shoppers reference the total constantly, especially as taxes and shipping change. Making them scroll to check breaks flow and increases second-guessing.
Add a sticky bar at the top or bottom of the screen (below the 'Datos de entrega' header) showing the running total, e.g. 'Total: $43,00' with a small 'Ver pedido' expandable toggle, so users don't have to scroll past all form fields to see the price.
The cart cannot be read by an AI agent from a stable URL or a JSON API endpoint. Cart state lives only in the buyer's browser session.
Agentic checkout requires the agent to inspect the cart before completing a purchase. If cart state is not accessible via a URL or API, the agent cannot verify totals, catch surprise fees, or hand off to a delegated payment flow.
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 product title is missing the brand name, the product type, or key descriptors that help shoppers understand what they are looking at.
Titles like "Model 3092" or "Plugin v3.2" mean nothing to a first-time visitor. In search results and shared links, a good title decides whether people click.
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 (minus button, numeric field, plus button, each at least 44x44px) directly above the green 'AÑADIR AL CARRITO' button, styled consistently with the site's black/green palette so users can select multiple boxes before adding to cart.
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.
UXFix scores every store twice: once for human shoppers, once for the agents now doing the browsing on their behalf. Enviafloresparadifuntos scores 56 for humans and 37 for agents. The gap is the part most stores have not looked at yet. 8 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.
Enviafloresparadifuntos (enviafloresparadifuntos.com) scored 56/100 on 31 August 2026 in UXFix's independent audit of its product page, cart and checkout, judged on 81 of the 115 rules run.
The audit found 31 failing checks. The costliest: shipping cost or estimate discoverable from PDP, cart shows full cost breakdown: items, shipping estimate, tax estimate and stock/availability state explicit (in stock, low stock, out of stock).
Enviafloresparadifuntos scores 37/100 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 5 scored stores in the UXFix benchmark, Enviafloresparadifuntos ranks 4 with 56/100. The benchmark median is 58. As of 1 September 2026.
Enviafloresparadifuntos is not a badly built store. It passes 35 of 81 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 35 findings above come to roughly 91 developer hours of estimated effort in total. Most are settings or template changes rather than rebuilds. A further 15 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.
