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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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...

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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...