Fixing Checkout Friction on Portuguese E-commerce Sites: UX Experiments to Run Before a Full Redesign

Short answer

Conduct lightweight, measurable experiments to reduce visible checkout friction before committing to a full redesign. Focus first on (1) measuring where people drop out of the funnel, (2) fixing the top-loading and interaction bottlenecks that slow or disrupt the flow, (3) removing unnecessary required fields and forced account creation, and (4) stabilizing payment and shipping signals (pricing, options, and trust marks). These experiments are low-cost, quick to validate, and will show whether a redesign is warranted. (See verified facts and recommended experiments below.)

Verified facts

• • Core Web Vitals (LCP, INP, CLS) are the field metrics Google uses to evaluate page experience and inform ranking and user experience signals. (web.dev)

• • Checkout abandonment is a widespread problem; UX research shows that most websites lose a large proportion of shopping carts and that many of the causes can be addressed through design and workflow changes. (baymard.com)

• • Portuguese e-commerce is growing, and shoppers are price-sensitive and concerned about shipping costs (free or high shipping costs are a major factor influencing purchases or cart abandonment). (acepi.pt)

The Problem and Common Symptoms

Small e-commerce stores in Portugal (and elsewhere) often experience the same issues: a healthy number of product views and items added to the cart, but a sharp drop-off at the shipping/payment stage; a high number of “abandoned carts”; more support calls than expected regarding checkout errors; and low organic visibility for product pages.

Verified facts

• • UX studies show that checkout abandonment is often caused by friction that can be addressed without a complete redesign (for example: forced account creation, unexpected shipping costs, confusing forms). The Baymard Institute documents common causes and usability fixes. (baymard.com)

• • Portuguese buyers rank price and shipping as the top factors influencing their decisions; websites that don't disclose shipping costs until late in the checkout process experience higher abandonment rates. (acepi.pt)

Symptoms to Watch For (Examples)

• • A large percentage of sessions in which items are added but the user never proceeds to checkout.

• • High exit and reload rates on the cart or checkout pages.

• • Slow “place order” responses or noticeable layout shifts when elements load.

• • Missing product snippets or shopping visibility in search results.

What to Measure and How (Practical Experiments)

Divide diagnostics into behavioral, performance, and technical/SEO checks. Keep experiments small enough so you can run 1–2 at a time and measure statistically significant changes.

1. 1. Funnel and Behavior Metrics (Baseline First)

• • What to measure: step-by-step conversion rates (product page → add to cart → cart → shipping → payment → order confirmation), average time spent on each checkout step, support tickets per order, and micro-conversions (coupon use, saved payment).

• • How: Implement event tracking (GA4 or server-side analytics) for each step and capture session IDs so you can correlate errors with specific sessions. Run the analysis for at least 2–4 weeks to capture seasonal variations.

2. 2. Performance and UX Metrics

• • What to measure: Core Web Vitals at the page level (LCP ≤ 2.5 seconds is “good,” INP ≤ ~200 ms, CLS ≤ 0.1), server response (TTFB), and lab tests for the slowest product and checkout pages. Use field data (Chrome UX Report / PageSpeed Insights) where available. (web.dev)

• • How: Use PageSpeed Insights for spot checks, the CrUX dataset for real-user field data, and synthetic tests (Lighthouse / WebPageTest) to troubleshoot LCP, large JavaScript bundles, and layout shifts. Automate daily checks for key pages.

3. 3. Conversion UX experiments (small A/B tests or multi-armed tests)

• • Examples to test:
    • • Guest checkout vs. forced account creation (Baymard shows that friction related to account creation is common). (baymard.com)

     

    • • Move the shipping cost display to an earlier stage — show the calculated shipping cost on the product or cart page instead of only on the shipping step.

     

    • • Reduce the number of required fields (email + basic shipping information) and track the completion rate.

     

    • • Single-page vs. multi-step checkout for your customer base.

     

    • • Offer local payment options (cards, MB WAY, digital wallets) on the first checkout screen and track the completion rate.

     

     

4. 4. Technical SEO / AI-powered search visibility

• • What to measure: whether product pages contain valid product structured data (JSON-LD) and whether product pages appear in Merchant/Shopping experiences. Use Google’s Rich Results Test and Merchant Center diagnostics. Structured data increases eligibility for richer product results and AI overviews. (developers.google.cn)

Verified facts

• • PageSpeed Insights and CrUX provide the Core Web Vitals metrics that Google uses; lab tools like Lighthouse are useful for diagnostics but do not replace CrUX. (developer.chrome.com)

Business impact (how these items affect revenue and costs)

• • Speed and stability directly affect conversion: Google’s industry benchmarks (SOASTA/Think with Google) show that abandonment rates rise sharply when mobile page load times exceed a few seconds; conversion models in multiple studies demonstrate a measurable impact on revenue from faster pages. Use your session-level revenue to quantify the impact of X% on reducing abandonment in your own funnel to build a business case. (business.google.com)

• • Checkout UX changes offer a high return on investment: targeted UX improvements (simpler forms, clearer pricing, fewer interruptions) can lead to incremental increases in conversion rates that often pay for themselves faster than a full redesign. Baymard’s research documents significant improvements in conversion rates resulting from UX improvements in checkout flows. (baymard.com)

• • Technical SEO and structured data improve discoverability in Google Shopping and modern AI-powered experiences; missing or inconsistent product data reduces free referral traffic and organic visibility. (developers.google.cn)

• • Security and compliance reduce business risk: Using PCI-compliant third-party payment processors and HTTPS reduces the risk of data breaches and fraud and is often required by acquirers and card schemes. (pcisecuritystandards.org)

Priorities: Now / Next / Later

Now (low-cost, quick wins — run these as experiments)

• • Provide step-level analytics and baseline funnel metrics (GA4 events). (Measure first.)

• • Enable guest checkout and the one-tap card or wallet option; conduct an A/B test against the current flow. (UX test.)

• • Display shipping costs earlier or show the “free shipping threshold” on product pages. (Content change.)

• • Run PageSpeed Insights on product, cart, and checkout pages; fix any LCP blockers (defer non-critical JavaScript, prioritize the hero image). (web.dev)

Next (mid-term, 2–8 weeks)

• • Implement product structured data and verify it in the Rich Results Test; submit feeds to Google Merchant Center as appropriate. (developers.google.cn)

• • Fix persistent layout shifts (CLS), reduce the number of third-party scripts at checkout, and add server-side caching or a CDN for assets.

• • Add payment badges and trust marks to the checkout page; verify that the transaction is redirected to a hosted payment page (tokenization) to reduce the PCI scope. (listings.pcisecuritystandards.org)

Later (requires further development or redesign)

• • Consolidate the design into an optimized single-page checkout if tests show it is beneficial.

• • Rebuild heavy templates or migrate to a faster platform only if testing reveals structural issues (e.g., the platform cannot deliver good Core Web Vitals or lacks the necessary integrations).

• • A complete redesign using performance-first templates and improved headless or server-rendered product pages if organic traffic and conversion rates remain limited after incremental fixes.

Decision criteria: when to redesign versus when to continue iterating

I would prefer a complete redesign only if:

• • Experiments (guest checkout, shipping transparency, speed fixes) yield modest improvements or no improvement at all AND

• • CrUX/field data show a system-wide inability to meet Core Web Vitals thresholds on most key pages, or

• • The current platform makes it impossible to add necessary integrations (local payments, structured data, or server-side rendering) without a disproportionate amount of custom development.

Continue iterating if:

• • Small experiments yield measurable conversion gains (even a 5–10% increase can be enough), or

• • Performance and UX issues can be traced to a few assets or scripts that can be fixed.

Verified fact

• • The Chrome UX Report and PageSpeed Insights provide real-world evidence of whether your pages meet the “good” Core Web Vitals thresholds; use them before making major platform decisions. (developer.chrome.google.cn)

Concise Checklist (for a 6–8-week program)

Performance & Monitoring

• • [ ] Track funnel events (product→cart→checkout→thank you) and capture baseline conversion rates.

• • [ ] Capture Core Web Vitals for product, cart, and checkout pages (PageSpeed Insights + CrUX). (developer.chrome.com)

Quick UX Experiments

• • [ ] A/B test: guest checkout vs. current flow (track completion and revenue). (baymard.com)

• • [ ] Show shipping costs earlier (on the product page or in the cart) and/or display the free shipping threshold. (acepi.pt)

• • [ ] Reduce the number of required fields to a minimum and enable address autocomplete.

Technical SEO & AI Visibility

• • [ ] Add Product JSON-LD, Offer, and availability to product pages; verify using Google’s Rich Results Test and Merchant Center. (developers.google.cn)

• • [ ] Ensure canonicalization, sitemaps, and stable product URLs.

Security & Compliance

• • [ ] Serve the entire site over HTTPS and display security badges at checkout. (developers.google.com)

• • [ ] Verify that the payment flow meets PCI SAQ requirements, or use a payment service provider (PSP) that removes your PCI scope (hosted checkout/tokenization). (pcisecuritystandards.org)

Measure the impact and make a decision

• • [ ] Compare revenue per visit and conversion rates before and after the experiment using a statistical test (minimum of 2 weeks or X conversions per variant).

• • [ ] If growth levels off and CrUX continues to fail across pages, prepare a business case for a platform or redesign that includes a measured ROI.

If you'd like, I can turn this checklist into a one-page task and priority plan that includes week-by-week milestones and the specific GA4 events to track for each experiment.