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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

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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

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AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...