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Slow Websites Will Cost Retailers Big Bucks This Holiday Season

Top Retail Sites Not Prepared for Holiday Shopping Boom
Kent Alstad

As the 2015 holiday shopping season rapidly approaches, only a few retailers – 12% of the top 100 ecommerce sites – are currently meeting customer expectations for both content and page speed, according to Radware's latest web performance report, State of the Union: Ecommerce Page Speed & Web Performance Summer 2015. It is even more surprising that 14% of top retailers take more than 10 seconds just to become functional, an increase from 9% in February 2015.


According to Statista, retail sales are estimated to exceed $1.7 trillion in 2015. Radware’s findings are a warning to the retail industry: bulky, slow web pages will fail to convert sales – even when top retailer’s sites may meet consumer demand for more content and complexity.

In fact, 57% of site visitors will abandon a web page after just three seconds if they are unable to interact with the key content. This Time to Interact (TTI) is critical.

“Site performance and download times are some of the most critical aspects of ecommerce that correlate to conversion rates,” said Sucharita Mulpuru, Forrester Research.

No retailer wants to abandon up to 57% of their inbound site traffic, especially during the holiday selling season. Retailers must invest in user experience for online customers, and that includes both content and page load time. Serving more content to customers is expected but the goal is delivering more content, faster. That’s the "magic formula". Web performance optimization, or lack thereof, will directly impact the bottom line for retailers this holiday season.

Today’s consumers expect more feature-rich browsing and shopping experiences that rely heavily on the increased use of high-pixel-count imagery, GIF and animated file formats, JavaScript, and app-like animations. Radware found that because of this, site owners are adding more features but they are not taking advantage of core optimization techniques. These issues result in increasing page sizes and complexity that typically contribute to slower load times.

Additional findings from the report include:

Page size and complexity are common contributors to slower load times, impacting the TTI. The median page is 1945 KB in size and contains 169 resource requests. The median Time to Interact is 5.5 seconds, which is considerably slower than users’ reported wait-time threshold of 3 seconds. The slowest page on the top 100 list had a TTI of 34.1 seconds.

Site owners have not implemented the latest core optimization techniques. Despite the fact that images comprise 50% to 60% of the average page’s total size, 48% of the top 100 sites received an “F” score from webpagetest.org for image compression.

The report also includes 14 tips to take your website from slow to "go" this holiday season, including:

Preload resources in the browser using an automated solution to increase load speed

Reformat images – avoid wasting bandwidth with unnecessarily high resolution

Rethink the design and location of call to action links below large feature banners

House heavy content below the fold to allow a faster loading experience

Consolidate JavaScript and CSS into common files

Compress text using common technologies like gzip

Kent Alstad is VP of Acceleration at Radware.


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 the top 100 sites from the Alexa Retail 500 three consecutive times. The system automatically clears the cache between tests. The median test result for each home page was recorded and used in our calculations. The tests were conducted on July 16, 2015, via the WebPagetest.org server in Dulles, VA, using Chrome 43 on a DSL connection. In very few cases, WebPagetest rendered a blank page or an error in which none of the page rendered. These tests were re-run with the same criteria, and flagged as such, with the results substituted in the list. To identify the Time to Interact (TTI) for each page, Radware generated a timed filmstrip view of the median page load for each site in the Alexa Retail 100. Time to Interact is defined as the moment that the featured page content and primary call-to-action button or menu is rendered in the frame.

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Slow Websites Will Cost Retailers Big Bucks This Holiday Season

Top Retail Sites Not Prepared for Holiday Shopping Boom
Kent Alstad

As the 2015 holiday shopping season rapidly approaches, only a few retailers – 12% of the top 100 ecommerce sites – are currently meeting customer expectations for both content and page speed, according to Radware's latest web performance report, State of the Union: Ecommerce Page Speed & Web Performance Summer 2015. It is even more surprising that 14% of top retailers take more than 10 seconds just to become functional, an increase from 9% in February 2015.


According to Statista, retail sales are estimated to exceed $1.7 trillion in 2015. Radware’s findings are a warning to the retail industry: bulky, slow web pages will fail to convert sales – even when top retailer’s sites may meet consumer demand for more content and complexity.

In fact, 57% of site visitors will abandon a web page after just three seconds if they are unable to interact with the key content. This Time to Interact (TTI) is critical.

“Site performance and download times are some of the most critical aspects of ecommerce that correlate to conversion rates,” said Sucharita Mulpuru, Forrester Research.

No retailer wants to abandon up to 57% of their inbound site traffic, especially during the holiday selling season. Retailers must invest in user experience for online customers, and that includes both content and page load time. Serving more content to customers is expected but the goal is delivering more content, faster. That’s the "magic formula". Web performance optimization, or lack thereof, will directly impact the bottom line for retailers this holiday season.

Today’s consumers expect more feature-rich browsing and shopping experiences that rely heavily on the increased use of high-pixel-count imagery, GIF and animated file formats, JavaScript, and app-like animations. Radware found that because of this, site owners are adding more features but they are not taking advantage of core optimization techniques. These issues result in increasing page sizes and complexity that typically contribute to slower load times.

Additional findings from the report include:

Page size and complexity are common contributors to slower load times, impacting the TTI. The median page is 1945 KB in size and contains 169 resource requests. The median Time to Interact is 5.5 seconds, which is considerably slower than users’ reported wait-time threshold of 3 seconds. The slowest page on the top 100 list had a TTI of 34.1 seconds.

Site owners have not implemented the latest core optimization techniques. Despite the fact that images comprise 50% to 60% of the average page’s total size, 48% of the top 100 sites received an “F” score from webpagetest.org for image compression.

The report also includes 14 tips to take your website from slow to "go" this holiday season, including:

Preload resources in the browser using an automated solution to increase load speed

Reformat images – avoid wasting bandwidth with unnecessarily high resolution

Rethink the design and location of call to action links below large feature banners

House heavy content below the fold to allow a faster loading experience

Consolidate JavaScript and CSS into common files

Compress text using common technologies like gzip

Kent Alstad is VP of Acceleration at Radware.


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 the top 100 sites from the Alexa Retail 500 three consecutive times. The system automatically clears the cache between tests. The median test result for each home page was recorded and used in our calculations. The tests were conducted on July 16, 2015, via the WebPagetest.org server in Dulles, VA, using Chrome 43 on a DSL connection. In very few cases, WebPagetest rendered a blank page or an error in which none of the page rendered. These tests were re-run with the same criteria, and flagged as such, with the results substituted in the list. To identify the Time to Interact (TTI) for each page, Radware generated a timed filmstrip view of the median page load for each site in the Alexa Retail 100. Time to Interact is defined as the moment that the featured page content and primary call-to-action button or menu is rendered in the frame.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.