Last week, we released our quarterly State of the Union for ecommerce web performance. This week, I want to share a poster version of the infographics we created to accompany the report.
Our newest quarterly performance survey of the top 500 retail websites in the US found that pages are 13.7% slower than they were in 2012, and that the median page takes 4.9 seconds to become usable (well below the user wait-time threshold of 3 seconds).
While 99% of response time problems are still caused by the UI being too slow, a too-fast UI causes serious usability problems, too. This post explains this problem and outlines six solutions.
I haven't been to a Velocity conference since 2011, so it was great to get out of my little ivory…
I frequently get asked about how content delivery networks (CDNs) fit into the bigger performance picture. Here are the answers to the most commonly asked questions all in one easy-to-scan post. 🙂
According to the HTTP Archive, the average top 1,000 web page is 1246 KB, compared to 828 KB in May 2012. This represents a 50% rate of growth in just one year.
Despite the fact that the 65+ demographic is poised to generate a powerful new ecommerce boom, current websites still discriminate against seniors by posing serious usability problems, including slow load times. Learn how making optimizing your site could result in a 35% revenue increase from older shoppers.
In a recent experiment, we noted that deploying a CDN shaved only 0.8 seconds from start render time for 3G users, raising the question: how effective are CDNs when it comes to mobile performance?
Americans spend an estimated 37 billion hours per year waiting in lines, so it’s not surprising there’s a large – and growing – field of research dedicated to studying the psychology of waiting. A recent trip down this research rabbit hole yielded some interesting insights about in-store versus online waiting.
As a former senior software engineer at Walmart Labs, Aaron Kulick has been in the enviable position of being able to pioneer what Walmart is doing with its big data strategy. He and Joshua talked about what it’s like working with bigger and bigger data sets, the long term utility of big data and whether or not there’s much room left for innovation and learning on the RUM journey.