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E-Commerce Secrets to Retail Holiday Success - Part 1

Ari Weil

Since forever, fourth-quarter holiday sales have been the key to retail success. It was true when retail was strictly bricks-and-mortar, and it is true now when online counts for a bigger and bigger share of holiday sales. Optimizing online web performance is critical to keep and convert customers and achieve success for the holidays and the entire retail year.


Recent research from Akamai indicates that website slowdowns as small as 100 milliseconds can significantly impact revenues. Whether on desktop, tablet or mobile, consumers will not tolerate delays. Higher-than-ever expectations for mobile pose challenges.

Akamai's The State of Online Retail Performance report lays out the challenges online retailers face. But it also illuminates ideal performance benchmarks that retailers can target to make sure shoppers stick with their sites, explore their offerings, and convert into purchasers.

It takes effort to optimize your users' experience, both on the front-end and on the back-end, to achieve those benchmarks. To be successful in the fourth-quarter holiday season, that work needs to start now and continue right through the end of the year.

Study Data Correlate Web Performance and Retail Results

For the study, Akamai assembled a massive volume of user data — the equivalent of 10 billion user visits — to uncover the performance sweet spots that correlated to the lowest bounce rates, the longest user sessions, and the highest conversions.

The data show that desktop is still the online channel that delivers the highest conversions and, by inference, the most revenue. And while mobile now accounts for virtually half of online shopping, it still lags far behind in keeping and converting shoppers — just one in five transactions are completed on mobile, compared to desktop's nearly 70 percent share of completed transactions.

These numbers, however, can be deceiving when we take the consumers' cross-device journey into consideration. Many users will start their product research process on mobile devices because of their convenience. For example, users might use their mobile devices when they are on the train going to the office, and then they will complete the transaction on a desktop at work. If we look at it through this lens, a poor mobile experience will not only hurt your mobile conversion but quite possibly also damage your desktop conversion rate.

Tablets are a modest but consistent bright spot, according to the study. While they represent the smallest share of shoppers, they enjoy high conversion and low bounce rates, and consumers appear to be more tolerant of small slowdowns or performance glitches on tablets than on either desktop or mobile. These findings once again highlight the multi-device consumer path to purchase; while they may not be willing to wait on other devices, often when users are on their tablets, they are multi-screening, meaning it may increase their willingness to wait.

A One-Second Slowdown Slashes Conversion by 20 Percent

There is simply no wiggle room when it comes to website load time. Even just a 100ms delay — 1/10 of a second — reduces conversion by 2.4 percent on desktop and over 7 percent on mobile. When the delay increases to a full second, conversion plummets by more than 20 percent on desktop and mobile and almost 18 percent on tablet.

The number to aim for is the load time that delivers “peak conversion,” when the highest proportion of visitors are going to complete an action. For desktop, the magic number is 1.8 seconds to achieve a conversion rate of 12.8 percent. For mobile, a 2.7 second load time correlates to a 3.3 percent conversion rate, and on tablets, a 1.9 second load time delivers 7.2 percent conversion.

On average, the difference between a converted and non-converted session is 1.1 seconds on desktop, 0.6 seconds on mobile, and 1.0 second on tablet. All of those numbers add up to one compelling conclusion: every millisecond matters.

Read E-Commerce Secrets to Retail Holiday Success - Part 2

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.

E-Commerce Secrets to Retail Holiday Success - Part 1

Ari Weil

Since forever, fourth-quarter holiday sales have been the key to retail success. It was true when retail was strictly bricks-and-mortar, and it is true now when online counts for a bigger and bigger share of holiday sales. Optimizing online web performance is critical to keep and convert customers and achieve success for the holidays and the entire retail year.


Recent research from Akamai indicates that website slowdowns as small as 100 milliseconds can significantly impact revenues. Whether on desktop, tablet or mobile, consumers will not tolerate delays. Higher-than-ever expectations for mobile pose challenges.

Akamai's The State of Online Retail Performance report lays out the challenges online retailers face. But it also illuminates ideal performance benchmarks that retailers can target to make sure shoppers stick with their sites, explore their offerings, and convert into purchasers.

It takes effort to optimize your users' experience, both on the front-end and on the back-end, to achieve those benchmarks. To be successful in the fourth-quarter holiday season, that work needs to start now and continue right through the end of the year.

Study Data Correlate Web Performance and Retail Results

For the study, Akamai assembled a massive volume of user data — the equivalent of 10 billion user visits — to uncover the performance sweet spots that correlated to the lowest bounce rates, the longest user sessions, and the highest conversions.

The data show that desktop is still the online channel that delivers the highest conversions and, by inference, the most revenue. And while mobile now accounts for virtually half of online shopping, it still lags far behind in keeping and converting shoppers — just one in five transactions are completed on mobile, compared to desktop's nearly 70 percent share of completed transactions.

These numbers, however, can be deceiving when we take the consumers' cross-device journey into consideration. Many users will start their product research process on mobile devices because of their convenience. For example, users might use their mobile devices when they are on the train going to the office, and then they will complete the transaction on a desktop at work. If we look at it through this lens, a poor mobile experience will not only hurt your mobile conversion but quite possibly also damage your desktop conversion rate.

Tablets are a modest but consistent bright spot, according to the study. While they represent the smallest share of shoppers, they enjoy high conversion and low bounce rates, and consumers appear to be more tolerant of small slowdowns or performance glitches on tablets than on either desktop or mobile. These findings once again highlight the multi-device consumer path to purchase; while they may not be willing to wait on other devices, often when users are on their tablets, they are multi-screening, meaning it may increase their willingness to wait.

A One-Second Slowdown Slashes Conversion by 20 Percent

There is simply no wiggle room when it comes to website load time. Even just a 100ms delay — 1/10 of a second — reduces conversion by 2.4 percent on desktop and over 7 percent on mobile. When the delay increases to a full second, conversion plummets by more than 20 percent on desktop and mobile and almost 18 percent on tablet.

The number to aim for is the load time that delivers “peak conversion,” when the highest proportion of visitors are going to complete an action. For desktop, the magic number is 1.8 seconds to achieve a conversion rate of 12.8 percent. For mobile, a 2.7 second load time correlates to a 3.3 percent conversion rate, and on tablets, a 1.9 second load time delivers 7.2 percent conversion.

On average, the difference between a converted and non-converted session is 1.1 seconds on desktop, 0.6 seconds on mobile, and 1.0 second on tablet. All of those numbers add up to one compelling conclusion: every millisecond matters.

Read E-Commerce Secrets to Retail Holiday Success - Part 2

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.