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Internet Disruptions Cost E-Commerce Retailers Millions Annually

Howard Beader
Catchpoint

Recent data from eMarketer projects that U.S. retail ecommerce sales will accelerate each year through 2027, reaching more than $1.7 trillion and comprising one-fifth of total retail sales. The great societal shift online is no longer an emerging trend, it's how we live, work and play.

Now that so much of our lives take place online, consumers have increasingly higher expectations about online experience. The consequences of poor experience are significant for e-commerce retailers, affecting sales, revenue, and stock price. New research conducted by Forrester Research on behalf of Catchpoint shows that one cause of poor experiences are disruptions across the "Internet stack," including routers, firewalls, ISPs, DNS, CDNs, cloud services, website payment providers, and video hosting services — which are particularly costly for e-commerce retailers.

The survey found that nearly 40% of e-commerce retailers suffer customer-impacting disruptions, as many as 76 per month on average, and these can cost up to $1 million per month. Despite the frequency and costs of disruption, however, many e-commerce retailers have been slow to adopt new solutions to proactively reduce or eliminate instances and increase their Internet resilience. Less than one-third of respondents in the survey monitor their full Internet stack today.

But the winds are shifting, with more e-commerce retailers adopting new technologies to gain visibility outside their traditional network infrastructure. 61% of survey respondents say they require tools to anticipate, detect, and fix Internet performance problems quickly, indicating a need for better management of Internet performance.

While monitoring the entire Internet stack isn't easy, with thousands of blind spots dispersed geographically that could become disruptions or affect experience, doing nothing isn't an option. This is precisely why adoption of Internet Performance Monitoring (IPM), which provides those capabilities e-commerce retailers say is missing, is growing.

The survey findings make a strong case for IPM, quantifying the consequences of not closely monitoring all aspects of a customer's experience and addressing issues before they happen. With so much at stake, from slow site loading to abandoned shopping carts, there must be zero tolerance for disruption. And this starts with proactive monitoring that anticipates problems instead of reporting on them retrospectively.

As I've written before, the Internet is your new network, and if you're an e-commerce retailer — or any company for that matter, Internet resiliency is critical to the quality and consistency of your digital experience. Our survey shows that e-commerce retailers acknowledge the importance of proactively monitoring the Internet stack, and this industry pivot is certainly a hopeful sign.

Howard Beader is VP of Product Marketing at Catchpoint

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Internet Disruptions Cost E-Commerce Retailers Millions Annually

Howard Beader
Catchpoint

Recent data from eMarketer projects that U.S. retail ecommerce sales will accelerate each year through 2027, reaching more than $1.7 trillion and comprising one-fifth of total retail sales. The great societal shift online is no longer an emerging trend, it's how we live, work and play.

Now that so much of our lives take place online, consumers have increasingly higher expectations about online experience. The consequences of poor experience are significant for e-commerce retailers, affecting sales, revenue, and stock price. New research conducted by Forrester Research on behalf of Catchpoint shows that one cause of poor experiences are disruptions across the "Internet stack," including routers, firewalls, ISPs, DNS, CDNs, cloud services, website payment providers, and video hosting services — which are particularly costly for e-commerce retailers.

The survey found that nearly 40% of e-commerce retailers suffer customer-impacting disruptions, as many as 76 per month on average, and these can cost up to $1 million per month. Despite the frequency and costs of disruption, however, many e-commerce retailers have been slow to adopt new solutions to proactively reduce or eliminate instances and increase their Internet resilience. Less than one-third of respondents in the survey monitor their full Internet stack today.

But the winds are shifting, with more e-commerce retailers adopting new technologies to gain visibility outside their traditional network infrastructure. 61% of survey respondents say they require tools to anticipate, detect, and fix Internet performance problems quickly, indicating a need for better management of Internet performance.

While monitoring the entire Internet stack isn't easy, with thousands of blind spots dispersed geographically that could become disruptions or affect experience, doing nothing isn't an option. This is precisely why adoption of Internet Performance Monitoring (IPM), which provides those capabilities e-commerce retailers say is missing, is growing.

The survey findings make a strong case for IPM, quantifying the consequences of not closely monitoring all aspects of a customer's experience and addressing issues before they happen. With so much at stake, from slow site loading to abandoned shopping carts, there must be zero tolerance for disruption. And this starts with proactive monitoring that anticipates problems instead of reporting on them retrospectively.

As I've written before, the Internet is your new network, and if you're an e-commerce retailer — or any company for that matter, Internet resiliency is critical to the quality and consistency of your digital experience. Our survey shows that e-commerce retailers acknowledge the importance of proactively monitoring the Internet stack, and this industry pivot is certainly a hopeful sign.

Howard Beader is VP of Product Marketing at Catchpoint

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...