Skip to main content

3 Key Findings from the Cyber Monday Web Performance Index

Sven Hammar

Online retailers stand to make a lot of money on Cyber Monday as long as their infrastructure can keep up with customers. If your company's site goes offline or substantially slows down, you're going to lose sales. And even top ecommerce sites experience performance or stability issues at peak loads, like Cyber Monday, according to Apica's Cyber Monday Web Performance Index.

The Cyber Monday Web Performance Index is built to gauge how well top sites in the market are performing. The purpose is to measure and rank the top-performing retail websites by examining elements like Document Object Model completion time, render time, minimum load time, and maximum load time. This year's index included the Internet Retailer Hot 100, which features a range of the most popular eCommerce sites on the Internet. Cyber Monday is, of course, an ideal day to test as these sites are pushed harder than at any other time of year, creating the right load testing conditions.

Key findings of the Cyber Monday Web Performance Index include:

1. Top 10 eCommerce Websites Are Healthy, But the Rest Are Lagging Behind

The top 10 rated websites are in excellent shape and only show cracks when the servers get overloaded with traffic. However, the servers are able to stay online and continue to function quickly enough to keep visitors on the site. Upwards of two-thirds of visitors will switch to a competitor's site if your company's site is too slow, so this factor is crucially important.

One study found top-rated sites like the Apple Store and Microsoft Store manage minimum load times (two seconds or less) under low-load conditions, but both experienced 10-second load times when visitors pushed the infrastructure under peak demand. Visitors may stick through modest increases, but they are likely to leave when load times explode to Keurig's 38-second, QVC's 131-second, and Avon's 147-second maximum load times.

2. Scaling and Stability Are a Major Issue Across the Industry

Hosting infrastructure that isn't built to scale can produce a very poor "stability" score, meaning there is a very substantial difference in the minimum and maximum load times. Even sites with optimized designs can crumble under demand if the infrastructure can't scale properly.

While the Apple Store's overall performance was fantastic, the site suffered a bit in stability metrics: 1.7-second load times fell to 10 seconds during the busiest periods. Costco's site scaled better, with consistent performance ranging between 1.8-2.9 seconds. Site operators can minimize load time increases with proper load testing and performance monitoring practices. The testing data helps businesses plan scaling infrastructure to grow with demand spikes, while avoiding cases where businesses overspend on more power than needed. 

3. Deception Through Progressive Page Loading Is the Key to Speed

Developers can work with the system by loading the page's basic functionalities as quickly as possible, and its auxiliary components afterward. This way, even if the page takes eight seconds to load, the visitor thinks it only took two.

Costco manages this well. The site's pages are very image-heavy, making it impossible to optimally compress the images and send them to a visitor's system in under three seconds. Instead, the page completes the DOM in just 2.1 seconds, allowing the user to start interacting with the page while the system loads off-screen content faster than the visitor can access it.

Read: 3 Ways to Improve Your Website for Cyber Monday

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

3 Key Findings from the Cyber Monday Web Performance Index

Sven Hammar

Online retailers stand to make a lot of money on Cyber Monday as long as their infrastructure can keep up with customers. If your company's site goes offline or substantially slows down, you're going to lose sales. And even top ecommerce sites experience performance or stability issues at peak loads, like Cyber Monday, according to Apica's Cyber Monday Web Performance Index.

The Cyber Monday Web Performance Index is built to gauge how well top sites in the market are performing. The purpose is to measure and rank the top-performing retail websites by examining elements like Document Object Model completion time, render time, minimum load time, and maximum load time. This year's index included the Internet Retailer Hot 100, which features a range of the most popular eCommerce sites on the Internet. Cyber Monday is, of course, an ideal day to test as these sites are pushed harder than at any other time of year, creating the right load testing conditions.

Key findings of the Cyber Monday Web Performance Index include:

1. Top 10 eCommerce Websites Are Healthy, But the Rest Are Lagging Behind

The top 10 rated websites are in excellent shape and only show cracks when the servers get overloaded with traffic. However, the servers are able to stay online and continue to function quickly enough to keep visitors on the site. Upwards of two-thirds of visitors will switch to a competitor's site if your company's site is too slow, so this factor is crucially important.

One study found top-rated sites like the Apple Store and Microsoft Store manage minimum load times (two seconds or less) under low-load conditions, but both experienced 10-second load times when visitors pushed the infrastructure under peak demand. Visitors may stick through modest increases, but they are likely to leave when load times explode to Keurig's 38-second, QVC's 131-second, and Avon's 147-second maximum load times.

2. Scaling and Stability Are a Major Issue Across the Industry

Hosting infrastructure that isn't built to scale can produce a very poor "stability" score, meaning there is a very substantial difference in the minimum and maximum load times. Even sites with optimized designs can crumble under demand if the infrastructure can't scale properly.

While the Apple Store's overall performance was fantastic, the site suffered a bit in stability metrics: 1.7-second load times fell to 10 seconds during the busiest periods. Costco's site scaled better, with consistent performance ranging between 1.8-2.9 seconds. Site operators can minimize load time increases with proper load testing and performance monitoring practices. The testing data helps businesses plan scaling infrastructure to grow with demand spikes, while avoiding cases where businesses overspend on more power than needed. 

3. Deception Through Progressive Page Loading Is the Key to Speed

Developers can work with the system by loading the page's basic functionalities as quickly as possible, and its auxiliary components afterward. This way, even if the page takes eight seconds to load, the visitor thinks it only took two.

Costco manages this well. The site's pages are very image-heavy, making it impossible to optimally compress the images and send them to a visitor's system in under three seconds. Instead, the page completes the DOM in just 2.1 seconds, allowing the user to start interacting with the page while the system loads off-screen content faster than the visitor can access it.

Read: 3 Ways to Improve Your Website for Cyber Monday

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...