Skip to main content

Online Holiday Shoppers Will Only Wait for 2 Seconds

Ann Ruckstuhl

Almost one-third (28 percent) of customers will not return to a slow site, according to SOASTA's 2016 Holiday Retail Insights Report.

The report’s key findings include:

■ In 2015, 57 percent of Black Friday traffic came from mobile

■ Amazon accounted for more than a third of 2015 online holiday spending

■ The “sweet spot” for peak conversions is a load time of 2.4 seconds

■ A mere one-second slowdown resulted in an 8 percent increase in bounce rate

How fast do holiday shoppers expect websites to be?

According to more than 1.5 million beacons’ worth of user data for 10 leading retailers during Cyber Week 2014 and Cyber Week 2015, the load time “sweet spot” for peak conversions was 2.4 seconds, a 37 percent decrease from the 3.8-second page load time for peak conversions in 2014. In other words, consumer expectations and behavior shifted sharply toward a preference for pages that were 37 percent faster.

Following this trend, the performance sweet spot in 2016 is likely to be two seconds or less.

What’s more, just a single-second slowdown triggered an 8 percent increase in bounce rate. A 5-second slowdown in load time (from 2 to 7 seconds) resulted in a bounce rate increase of 42 percent.


E-tailers should therefore be particularly vigilant and proactive with their load times: while overall load times improved between 2014 and 2015, in 2015 fewer visitors experienced “sweet-spot” load times than in 2014.

Online retailers must also avoid downtime at all costs, as there is a correlation between downtime and market value of brands and a significant negative correlation between outage announcements and stock returns.

The hourly cost of downtime varies by industry and size of the brand, but estimates are all mind-boggling. A 20-minute Amazon outage cost about $3.75 million. For Fortune 1000 companies, the average total cost of unplanned application downtime per year is $1.25 billion to $2.5 billion. The average hourly cost of an infrastructure failure is $100,000 per hour.

Be Like Amazon

Amazon alone accounted for more than a third (34.5 percent) of 2015 online holiday spending.

“Why? Massive inventory, competitive pricing and free shipping are part of the equation, but Amazon was also an extremely early adopter in the study of how seconds — and sometimes even milliseconds — of latency affect bounce rates, conversion rates, sales and revenue,” explained SOASTA Director of Research Tammy Everts. “As a result, Amazon enjoys a 13 percent conversion rate — and an impressive 74 percent for Prime members.”

Everts added that the key to preparing a site for the holidays requires a balance between making the site both reliable and fast. “The best solution to preparing your site for the holidays is to create an ongoing environment of continuous testing and improvement in your organization,” she explained. “You can compete with Amazon and, in fact, successfully manage all peak traffic events by offering site visitors a good experience, including secure, reliable and fast performance.”

Ann Ruckstuhl is CMO of SOASTA.

The Latest

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.

Online Holiday Shoppers Will Only Wait for 2 Seconds

Ann Ruckstuhl

Almost one-third (28 percent) of customers will not return to a slow site, according to SOASTA's 2016 Holiday Retail Insights Report.

The report’s key findings include:

■ In 2015, 57 percent of Black Friday traffic came from mobile

■ Amazon accounted for more than a third of 2015 online holiday spending

■ The “sweet spot” for peak conversions is a load time of 2.4 seconds

■ A mere one-second slowdown resulted in an 8 percent increase in bounce rate

How fast do holiday shoppers expect websites to be?

According to more than 1.5 million beacons’ worth of user data for 10 leading retailers during Cyber Week 2014 and Cyber Week 2015, the load time “sweet spot” for peak conversions was 2.4 seconds, a 37 percent decrease from the 3.8-second page load time for peak conversions in 2014. In other words, consumer expectations and behavior shifted sharply toward a preference for pages that were 37 percent faster.

Following this trend, the performance sweet spot in 2016 is likely to be two seconds or less.

What’s more, just a single-second slowdown triggered an 8 percent increase in bounce rate. A 5-second slowdown in load time (from 2 to 7 seconds) resulted in a bounce rate increase of 42 percent.


E-tailers should therefore be particularly vigilant and proactive with their load times: while overall load times improved between 2014 and 2015, in 2015 fewer visitors experienced “sweet-spot” load times than in 2014.

Online retailers must also avoid downtime at all costs, as there is a correlation between downtime and market value of brands and a significant negative correlation between outage announcements and stock returns.

The hourly cost of downtime varies by industry and size of the brand, but estimates are all mind-boggling. A 20-minute Amazon outage cost about $3.75 million. For Fortune 1000 companies, the average total cost of unplanned application downtime per year is $1.25 billion to $2.5 billion. The average hourly cost of an infrastructure failure is $100,000 per hour.

Be Like Amazon

Amazon alone accounted for more than a third (34.5 percent) of 2015 online holiday spending.

“Why? Massive inventory, competitive pricing and free shipping are part of the equation, but Amazon was also an extremely early adopter in the study of how seconds — and sometimes even milliseconds — of latency affect bounce rates, conversion rates, sales and revenue,” explained SOASTA Director of Research Tammy Everts. “As a result, Amazon enjoys a 13 percent conversion rate — and an impressive 74 percent for Prime members.”

Everts added that the key to preparing a site for the holidays requires a balance between making the site both reliable and fast. “The best solution to preparing your site for the holidays is to create an ongoing environment of continuous testing and improvement in your organization,” she explained. “You can compete with Amazon and, in fact, successfully manage all peak traffic events by offering site visitors a good experience, including secure, reliable and fast performance.”

Ann Ruckstuhl is CMO of SOASTA.

The Latest

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.