Skip to main content

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

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

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

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...