Skip to main content

What Sets the Top-Performing E-Commerce Sites Apart?

Mehdi Daoudi
Catchpoint

One way top-tier e-commerce companies maintain their prestige and keep customers coming back is by delivering an exceptional customer experience. Users can depend on these sites for fast, reliable web interactions, and speedy and convenient transactions. Catchpoint just analyzed and ranked the top performing e-commerce companies and one thing is clear – they all make performance optimization a priority, allowing them to meet and exceed users' expectations.

The top three performers – Target, Apple and Walgreens – shared several best practices that have allowed them to achieve their competitive edge.

Low Page Weights

Each of the highest ranked sites kept their page weights low, which is typically effective in improving overall performance. Excessive total downloaded bytes can slow load times and frustrate end users. Ensuring that sites aren't excessively bloated, like these companies did, should be a priority in all e-commerce sites' performance plans. The desire to feature a lot of marketing content must constantly be balanced against the ongoing need to maintain and protect download speeds.

In fact, before any decision is made to add any marketing content, marketers and IT teams should work together to evaluate if a particular campaign is worth any potential performance degradation. There is no point in having an especially flashy ad or campaign if the net effect is going to ultimately drive users away.

Catchpoint conducted this analysis during the first half of 2016, after the holidays. The holidays, of course, are a prime time for e-commerce sites to "put on weight" and slow down. As e-commerce companies start thinking about 2016 holiday planning this summer, avoiding holiday excesses and keeping page weights to a minimum will be an important consideration.

Content Delivery Network

In addition to managing page weights, Target, Apple, and Walgreens all used CDNs to deliver their static content. A content delivery network (CDN) is a system of distributed servers that stores and delivers web pages and other web content to users based on their geographic locations. CDNs get static web content "closer" to end users around the world, minimizing time-intensive server "roundtrips." The closer the CDN server is to the user geographically, the faster the content will be delivered.

CDNs can be highly effective in speeding the delivery of content from websites with routinely high traffic and global reach. They can also provide protection from large, sudden surges in traffic.

Limited Third-Party Services

Limiting third-party services was also a common practice among the leading companies, particularly Apple, who only had one. Third-party services like social media plugins, videos, and analytics are frequently used to enhance the user experience; however these can be overdone. External services increase performance risks because they are ultimately out of an e-commerce site's direct control. Just one small issue with one of these services can affect performance for an entire page; so, the more outside services that are running, the more susceptible a website becomes to potential problems.

Like the issue of page weight, third-party services are a very important factor in holiday season planning, and e-commerce companies need to limit these to the ones they truly need. During the 2015 holidays, many of the outages Catchpoint detected – particularly in the mobile realm – were the result of third-party services having problems. During periods of peak traffic, third-party services are likely under heavy duress as well. Those services that are enlisted must be monitored around the clock, and e-commerce sites should always have the ability to directly understand how a third-party service is impacting the performance of their pages. They should also have contingency plans to quickly remove (and if necessary, replace) any poor performers.

Asynchronous Loading

There are other techniques that can make sites appear to download faster, such as asynchronous loading. Synchronous loading means that all elements on a site are loaded in a straight, sequential order. The problem with this is that when any particular element slows down and takes a long time to load, it holds up the rest of the page, hurting the user perception of a fast download.

Asynrchronous loading, on the other hand, skips over page elements that are taking longer to load than others. This helps maintain the user perception of a fast download, as the main elements appear quickly and the user is still able to interact with the site without requiring the other elements to load.

Asynchronous loading is especially important given the recent rise in ad blocking. Catchpoint just conducted an analysis which revealed a surprising finding: in addition to ads, ad blockers sometimes block content and features that aren't ads, including items related to sign-in and authentication processes. If a site is not designed to load elements like these asynchronously, this blocking can slow down or disrupt the entire page.

The key to achieving success in digital business is delivering an amazing customer experience at all times, so performance must be a priority to meet those standards. Each of the performance-enhancing practices described above are simple tweaks and optimizations that could be adopted by virtually any e-commerce site, regardless of size.

Besides keeping users happy and driving transactions, a focus on performance can help mitigate negative impacts of ad blocking. Strong performance will deter users from growing frustrated with slow speeds and activating ad blocking in the first place. As e-commerce sites begin their holiday planning, they should "follow the leaders" and adopt their techniques to help maximize their own performance.

Mehdi Daoudi is CEO and Co-Founder of Catchpoint

Hot Topics

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.

What Sets the Top-Performing E-Commerce Sites Apart?

Mehdi Daoudi
Catchpoint

One way top-tier e-commerce companies maintain their prestige and keep customers coming back is by delivering an exceptional customer experience. Users can depend on these sites for fast, reliable web interactions, and speedy and convenient transactions. Catchpoint just analyzed and ranked the top performing e-commerce companies and one thing is clear – they all make performance optimization a priority, allowing them to meet and exceed users' expectations.

The top three performers – Target, Apple and Walgreens – shared several best practices that have allowed them to achieve their competitive edge.

Low Page Weights

Each of the highest ranked sites kept their page weights low, which is typically effective in improving overall performance. Excessive total downloaded bytes can slow load times and frustrate end users. Ensuring that sites aren't excessively bloated, like these companies did, should be a priority in all e-commerce sites' performance plans. The desire to feature a lot of marketing content must constantly be balanced against the ongoing need to maintain and protect download speeds.

In fact, before any decision is made to add any marketing content, marketers and IT teams should work together to evaluate if a particular campaign is worth any potential performance degradation. There is no point in having an especially flashy ad or campaign if the net effect is going to ultimately drive users away.

Catchpoint conducted this analysis during the first half of 2016, after the holidays. The holidays, of course, are a prime time for e-commerce sites to "put on weight" and slow down. As e-commerce companies start thinking about 2016 holiday planning this summer, avoiding holiday excesses and keeping page weights to a minimum will be an important consideration.

Content Delivery Network

In addition to managing page weights, Target, Apple, and Walgreens all used CDNs to deliver their static content. A content delivery network (CDN) is a system of distributed servers that stores and delivers web pages and other web content to users based on their geographic locations. CDNs get static web content "closer" to end users around the world, minimizing time-intensive server "roundtrips." The closer the CDN server is to the user geographically, the faster the content will be delivered.

CDNs can be highly effective in speeding the delivery of content from websites with routinely high traffic and global reach. They can also provide protection from large, sudden surges in traffic.

Limited Third-Party Services

Limiting third-party services was also a common practice among the leading companies, particularly Apple, who only had one. Third-party services like social media plugins, videos, and analytics are frequently used to enhance the user experience; however these can be overdone. External services increase performance risks because they are ultimately out of an e-commerce site's direct control. Just one small issue with one of these services can affect performance for an entire page; so, the more outside services that are running, the more susceptible a website becomes to potential problems.

Like the issue of page weight, third-party services are a very important factor in holiday season planning, and e-commerce companies need to limit these to the ones they truly need. During the 2015 holidays, many of the outages Catchpoint detected – particularly in the mobile realm – were the result of third-party services having problems. During periods of peak traffic, third-party services are likely under heavy duress as well. Those services that are enlisted must be monitored around the clock, and e-commerce sites should always have the ability to directly understand how a third-party service is impacting the performance of their pages. They should also have contingency plans to quickly remove (and if necessary, replace) any poor performers.

Asynchronous Loading

There are other techniques that can make sites appear to download faster, such as asynchronous loading. Synchronous loading means that all elements on a site are loaded in a straight, sequential order. The problem with this is that when any particular element slows down and takes a long time to load, it holds up the rest of the page, hurting the user perception of a fast download.

Asynrchronous loading, on the other hand, skips over page elements that are taking longer to load than others. This helps maintain the user perception of a fast download, as the main elements appear quickly and the user is still able to interact with the site without requiring the other elements to load.

Asynchronous loading is especially important given the recent rise in ad blocking. Catchpoint just conducted an analysis which revealed a surprising finding: in addition to ads, ad blockers sometimes block content and features that aren't ads, including items related to sign-in and authentication processes. If a site is not designed to load elements like these asynchronously, this blocking can slow down or disrupt the entire page.

The key to achieving success in digital business is delivering an amazing customer experience at all times, so performance must be a priority to meet those standards. Each of the performance-enhancing practices described above are simple tweaks and optimizations that could be adopted by virtually any e-commerce site, regardless of size.

Besides keeping users happy and driving transactions, a focus on performance can help mitigate negative impacts of ad blocking. Strong performance will deter users from growing frustrated with slow speeds and activating ad blocking in the first place. As e-commerce sites begin their holiday planning, they should "follow the leaders" and adopt their techniques to help maximize their own performance.

Mehdi Daoudi is CEO and Co-Founder of Catchpoint

Hot Topics

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.