E-Commerce UX Research Articles
The below 350+ e-commerce UX articles are all based on Baymard’s 130,000+ hours of UX research. The articles represent just 5% of Baymard’s Premium research database. Join 37,000+ UX professionals and get a new article every week by email.
Digital Subscriptions & SaaS: New UX Benchmark with 2,300+ Performance Scores and 1,600+ Best Practice Examples
We’ve released a new UX benchmark of 10 digital subscriptions and SaaS sites with over 2,300 new industry-specific UX performance scores and 1,600 best practice examples.
July 16, 2024
Use “Visual” Filters for Visually Distinct Product Attributes
July 9, 2024
Travel Accommodations: New UX Benchmark with 1,900+ Performance Scores and 1,500+ Best Practice Examples
July 3, 2024
Checkout Optimization: 5 Ways to Minimize Form Fields in Checkout
June 26, 2024Popular
Food Delivery & Takeout: New UX Benchmark with 3,000+ Performance Scores and 2,000+ Best Practice Examples
June 19, 2024
The Current State of Accounts & Self-Service UX: 5 Common Pitfalls & Best Practices
June 11, 2024Popular
Deconstructing E-Commerce Search UX: The 8 Most Common Search Query Types (42% of Sites Have Issues)
The backbone of a good search experience is handling the queries that a user throws at it. See our latest test findings and if your site is able to handle the 8 most common search query types.
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If Providing Sidebar Filtering, Position the “Size” Filter near the Top and Expand It by Default
June 4, 2024
Always Allow Users to Navigate across User Reviews via Reviewer-Submitted Images
May 28, 2024
Mobile UX Trends: The Current State of Mobile UX (15 Common Pitfalls & Best Practices)
May 23, 2024Popular
Furniture and Home Decor UX: Deprioritize “View in Room” Augmented Reality (AR) Features
May 15, 2024
B2B Electronics Sites: 2 High-Level Takeaways from 2,500+ Hours Testing
May 8, 2024
Testing ChatGPT-4 for ‘UX Audits’ Shows an 80% Error Rate & 14–26% Discoverability Rate
We tested ChatGPT-4’s ability to do a UX Audit of 12 webpages, and compared it to the results of 6 human UX professionals. GPT-4 had a 20% accuracy rate, 80% error rate, and discovered just 14–26% of the actual UX issues.
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