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eRetailers Fail to Meet Expected Page Load Times - Despite Growth of Online Shopping this Holiday Season

Pete Goldin
APMdigest


The average online shopper expects a web page to render in less than three seconds, according to two new studies by Radware: State of the Union: Ecommerce Page Speed & Web Performance, Fall 2014 and 2014 State of the Union: Mobile Ecommerce Performance. However, analysis of the load times of the top 100 retailers reveals that the median home page on a desktop takes 6.5 seconds to render its primary content and 11.4 seconds to fully load. For the median mobile optimized "m-dot" web page to load on the iPhone 5s, takes 4.8 seconds. Only 12% of the top 100 retail sites rendered feature content in fewer than three seconds on the desktop and 15% of full-site pages loaded in fewer than 4 seconds on the iPhone 5s.

Jump to infographic below: Cyber Monday is Coming - Do You Know How Fast Your Website Is?

See infographic: Is Your Website Fast Enough For Mobile Shoppers?

As eCommerce sales are expected to hit an all-time high of $72 billion dollars, many eRetailers will refine strategies to attract and retain customer attention. Leveraging techniques such as geo-targeted campaigns and social shopping programs that include high-quality images and video, Radware predicts that only those delivering optimized performance to enhance user experience will be the most successful.

Other key findings from Radware’s reports on the top 100 retail sites include:

- The median page is 19% larger than it was one year ago.

- 22% of sites took 10 or more seconds just to be become interactive.

- 2% took 20 seconds or longer to become interactive.

- While images comprise 50% of the average page’s total weight, 35% of sites failed to compress images, a technique that could significantly reduce payload and streamline page rendering.

Key findings from the mobile report include:

- 81% of sites automatically serve an m-dot version of the home page to smartphones.

- 20% of m-dot sites do not allow shoppers to access the full site.

- 8% of the top 100 retailers serve a tablet-optimized version of their site to tablets.

- Median load times varied across tablets, ranging from 5.7 seconds for the Galaxy Note to 8.1 seconds for the Nexus 7.

“We are seeing an increase in the usage of video and high-resolution imagery that will give the site shopper a more immersive experience. As the increase of devices with retina display continue, so will the need for sharper and more detailed imagery, both of which can decrease page load times,” warns Kent Alstead, VP of Acceleration for Radware. “As images already account for half of the average page’s total weight, conversion gains could be compromised by slow load times.”



Click on the image below to see the infographic

Pete Goldin is Editor and Publisher of APMdigest

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eRetailers Fail to Meet Expected Page Load Times - Despite Growth of Online Shopping this Holiday Season

Pete Goldin
APMdigest


The average online shopper expects a web page to render in less than three seconds, according to two new studies by Radware: State of the Union: Ecommerce Page Speed & Web Performance, Fall 2014 and 2014 State of the Union: Mobile Ecommerce Performance. However, analysis of the load times of the top 100 retailers reveals that the median home page on a desktop takes 6.5 seconds to render its primary content and 11.4 seconds to fully load. For the median mobile optimized "m-dot" web page to load on the iPhone 5s, takes 4.8 seconds. Only 12% of the top 100 retail sites rendered feature content in fewer than three seconds on the desktop and 15% of full-site pages loaded in fewer than 4 seconds on the iPhone 5s.

Jump to infographic below: Cyber Monday is Coming - Do You Know How Fast Your Website Is?

See infographic: Is Your Website Fast Enough For Mobile Shoppers?

As eCommerce sales are expected to hit an all-time high of $72 billion dollars, many eRetailers will refine strategies to attract and retain customer attention. Leveraging techniques such as geo-targeted campaigns and social shopping programs that include high-quality images and video, Radware predicts that only those delivering optimized performance to enhance user experience will be the most successful.

Other key findings from Radware’s reports on the top 100 retail sites include:

- The median page is 19% larger than it was one year ago.

- 22% of sites took 10 or more seconds just to be become interactive.

- 2% took 20 seconds or longer to become interactive.

- While images comprise 50% of the average page’s total weight, 35% of sites failed to compress images, a technique that could significantly reduce payload and streamline page rendering.

Key findings from the mobile report include:

- 81% of sites automatically serve an m-dot version of the home page to smartphones.

- 20% of m-dot sites do not allow shoppers to access the full site.

- 8% of the top 100 retailers serve a tablet-optimized version of their site to tablets.

- Median load times varied across tablets, ranging from 5.7 seconds for the Galaxy Note to 8.1 seconds for the Nexus 7.

“We are seeing an increase in the usage of video and high-resolution imagery that will give the site shopper a more immersive experience. As the increase of devices with retina display continue, so will the need for sharper and more detailed imagery, both of which can decrease page load times,” warns Kent Alstead, VP of Acceleration for Radware. “As images already account for half of the average page’s total weight, conversion gains could be compromised by slow load times.”



Click on the image below to see the infographic

Pete Goldin is Editor and Publisher of APMdigest

The Latest

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 ...