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Top Retailer Sites Slower Than Last Year

Pete Goldin
APMdigest

Pages of the top 500 retail websites are not only bigger, but slower than ever and not meeting the demands of online shoppers, according to a new Radware study titled State of the Union: Ecommerce Page Speed & Web Performance, Winter 2014.

The median top 500 ecommerce home page takes 9.3 seconds to load, which is an increase of 21% in just one year, with 50% of top ecommerce sites taking 10 seconds or more to load.

The report also states that among the top 100 ecommerce sites the median load time for a page is 10 seconds, which is slightly up from 8.2 seconds last year.

Additionally, earlier established research reveals the maximum threshold that a typical Internet user is willing to wait for a page to load is 10 seconds – a startling half of the top 100 retail sites do not meet this threshold.

Jump straight to the infographic below

Key findings from Radware's latest report include:

- The median page has slowed down by 21% in just one year. The median top 500 ecommerce home page takes 9.3 seconds to load. A year ago, the median page took 7.7 seconds to load. The majority of online shoppers will abandon a page after waiting 3 seconds for it to load.

- The top 100 sites are slower than the top 500. Among the top 100 ecommerce sites, the median load time is 10 seconds – up from 8.2 seconds at this time last year. The maximum threshold that a typical internet user is willing to wait for a page to load is 10 seconds, meaning that half of the top 100 retail sites do not meet this threshold.

- Pages are taking longer to become interactive. “Time to interact” (TTI) refers to how long it takes for a page's primary content to load and become usable. In 2013, the median TTI was 4.9 seconds. Now it's 5 seconds. Some may not consider this a significant increase, but it will be interesting to see how this trend develops in the future.

- Pages are now bigger and heavier. The median ecommerce page contains 99 resources (e.g., images, CSS files, etc.). A year ago, the median page contained 93 resources. The median page is 1436 KB in size, a 31% increase over the median page weight of 1094 KB just one year ago. This growth is partially responsible for the increase in load time.

- The adoption of some core performance best practices has reached a plateau. In spring 2013, 74% of the top 100 ecommerce sites used a content delivery network (CDN): this number has grown to 80%. Keep-alives have plateaued at a 93% implementation rate. Image compression is still not widely
adopted: implementation rate continues to stand at 9%. While the adoption rate of long-standing best practices has not increased significantly, findings revealed that the use of progressive JPEGs, a practice that had fallen out of favor but is now on the upswing, has increased from 6% to 10%.

“As 2013 had its share of website outages from Amazon to Healthcare.gov, we also see that site slowdowns can also cause a negative impact on brand perception,” said Tammy Everts, web performance evangelist, Radware. “Slowdowns occur 10 times more frequently than outages, and over time, slowdowns can have double the negative financial impact as outages. This also has a major long-term impact on customer retention, as the permanent abandonment rate for a slow site is up to three times greater than the abandonment rate for a site that is down.”

Everts also added, “We're also seeing an uptick in load times as web pages are getting bigger and heavier, and at 5 seconds, the median time it takes to interact with a page does not meet consumer expectations. All of this equates to a longer wait time for the customer, who may abandon a page if it takes longer than three seconds to load.”


Methodology

The tests in this study were conducted using an online tool called WebPagetest – an open-source project primarily developed and supported by Google – which simulates page load times from a real user’s perspective using real browsers. Radware tested the home page of every site in the Alexa Retail 500 nine consecutive times. (The system clears the cache between tests.) The median test result for each home page was recorded and used in the calculations. The tests were conducted between January 16-26, 2013 via the WebPagetest.org server in Dulles, Va., using the latest version of Chrome (31.0) on a DSL connection.

Pete Goldin is Editor and Publisher of APMdigest

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Top Retailer Sites Slower Than Last Year

Pete Goldin
APMdigest

Pages of the top 500 retail websites are not only bigger, but slower than ever and not meeting the demands of online shoppers, according to a new Radware study titled State of the Union: Ecommerce Page Speed & Web Performance, Winter 2014.

The median top 500 ecommerce home page takes 9.3 seconds to load, which is an increase of 21% in just one year, with 50% of top ecommerce sites taking 10 seconds or more to load.

The report also states that among the top 100 ecommerce sites the median load time for a page is 10 seconds, which is slightly up from 8.2 seconds last year.

Additionally, earlier established research reveals the maximum threshold that a typical Internet user is willing to wait for a page to load is 10 seconds – a startling half of the top 100 retail sites do not meet this threshold.

Jump straight to the infographic below

Key findings from Radware's latest report include:

- The median page has slowed down by 21% in just one year. The median top 500 ecommerce home page takes 9.3 seconds to load. A year ago, the median page took 7.7 seconds to load. The majority of online shoppers will abandon a page after waiting 3 seconds for it to load.

- The top 100 sites are slower than the top 500. Among the top 100 ecommerce sites, the median load time is 10 seconds – up from 8.2 seconds at this time last year. The maximum threshold that a typical internet user is willing to wait for a page to load is 10 seconds, meaning that half of the top 100 retail sites do not meet this threshold.

- Pages are taking longer to become interactive. “Time to interact” (TTI) refers to how long it takes for a page's primary content to load and become usable. In 2013, the median TTI was 4.9 seconds. Now it's 5 seconds. Some may not consider this a significant increase, but it will be interesting to see how this trend develops in the future.

- Pages are now bigger and heavier. The median ecommerce page contains 99 resources (e.g., images, CSS files, etc.). A year ago, the median page contained 93 resources. The median page is 1436 KB in size, a 31% increase over the median page weight of 1094 KB just one year ago. This growth is partially responsible for the increase in load time.

- The adoption of some core performance best practices has reached a plateau. In spring 2013, 74% of the top 100 ecommerce sites used a content delivery network (CDN): this number has grown to 80%. Keep-alives have plateaued at a 93% implementation rate. Image compression is still not widely
adopted: implementation rate continues to stand at 9%. While the adoption rate of long-standing best practices has not increased significantly, findings revealed that the use of progressive JPEGs, a practice that had fallen out of favor but is now on the upswing, has increased from 6% to 10%.

“As 2013 had its share of website outages from Amazon to Healthcare.gov, we also see that site slowdowns can also cause a negative impact on brand perception,” said Tammy Everts, web performance evangelist, Radware. “Slowdowns occur 10 times more frequently than outages, and over time, slowdowns can have double the negative financial impact as outages. This also has a major long-term impact on customer retention, as the permanent abandonment rate for a slow site is up to three times greater than the abandonment rate for a site that is down.”

Everts also added, “We're also seeing an uptick in load times as web pages are getting bigger and heavier, and at 5 seconds, the median time it takes to interact with a page does not meet consumer expectations. All of this equates to a longer wait time for the customer, who may abandon a page if it takes longer than three seconds to load.”


Methodology

The tests in this study were conducted using an online tool called WebPagetest – an open-source project primarily developed and supported by Google – which simulates page load times from a real user’s perspective using real browsers. Radware tested the home page of every site in the Alexa Retail 500 nine consecutive times. (The system clears the cache between tests.) The median test result for each home page was recorded and used in the calculations. The tests were conducted between January 16-26, 2013 via the WebPagetest.org server in Dulles, Va., using the latest version of Chrome (31.0) on a DSL connection.

Pete Goldin is Editor and Publisher of APMdigest

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...