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Cyber Monday Survey: Most Online Shoppers Cancel Orders Due to Slow Response Time

Pete Goldin
APMdigest

More than half (56%) of consumers who spend more than two hours per week shopping online have cancelled an order due to an error or slow response time, according to a new survey by Monitis.

As the holiday shopping season approaches – with Cyber Monday on the horizon on November 26 - e-retailers need to be thinking beyond simply ensuring that websites are up, moving towards assessing how effectively they are able to do business and putting more focus on strengthening the aspects of their online stores that will prevent customer and transaction losses resulting from sub-optimal performance and customer experience.

Almost three-quarters (74%) of all online shoppers surveyed said that they would switch to a competing online vendor if they could find a better user experience and faster website than the one they currently use. Although we all thought we knew this before, it makes an impression when you see it confirmed so clearly by yet another survey.

Frequent online shoppers are even less tolerant of slow e-retail websites. 86% of consumers who spend two or more hours shopping each week say that they would abandon their chosen online vendor if they found a faster competitor.

Other key findings from the survey include:

· 81% of all respondents listed convenience as the number one reason for choosing to shop online rather than making purchases at brick and mortar stores, while only 61% say that price is the most important factor.

· More than half of all respondents (56%) also indicated that website usability is an important factor when comparing one retail website to another, coming in just behind price and reputation.

· 61% of all online shoppers would leave a web page and search for a competing vendor if it took longer than 30 seconds to load.

· The most popular time to shop online (40% of all respondents) is actually during typical 9:00AM to 5:00PM work hours, while the next largest group (32%) of online shoppers typically shops in the early evening between 5:00PM and 8:00PM.

“Simply avoiding downtime is often the primary goal for web developers and designers when maintaining websites, but as the holiday rush has shifted to online stores, success depends less on the minimum threshold of uptime and more on meeting the various other expectations of shoppers, to keep them coming back,” said Hovhannes Avoyan, General Manager at Monitis. “Consumers turn to online vendors for convenience, so it’s critical that e-retailers ensure a positive shopping experience by focusing on website usability and speed.”

The survey, which polled 1,006 US online shoppers, was conducted by Opinion Matters on behalf of Monitis.

Related Links:

Cyber Monday: 3 Tips to Ensure Web App Performance

Black Friday and the Customer Chaos, er, “Experience”!

Pete Goldin is Editor and Publisher of APMdigest

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Cyber Monday Survey: Most Online Shoppers Cancel Orders Due to Slow Response Time

Pete Goldin
APMdigest

More than half (56%) of consumers who spend more than two hours per week shopping online have cancelled an order due to an error or slow response time, according to a new survey by Monitis.

As the holiday shopping season approaches – with Cyber Monday on the horizon on November 26 - e-retailers need to be thinking beyond simply ensuring that websites are up, moving towards assessing how effectively they are able to do business and putting more focus on strengthening the aspects of their online stores that will prevent customer and transaction losses resulting from sub-optimal performance and customer experience.

Almost three-quarters (74%) of all online shoppers surveyed said that they would switch to a competing online vendor if they could find a better user experience and faster website than the one they currently use. Although we all thought we knew this before, it makes an impression when you see it confirmed so clearly by yet another survey.

Frequent online shoppers are even less tolerant of slow e-retail websites. 86% of consumers who spend two or more hours shopping each week say that they would abandon their chosen online vendor if they found a faster competitor.

Other key findings from the survey include:

· 81% of all respondents listed convenience as the number one reason for choosing to shop online rather than making purchases at brick and mortar stores, while only 61% say that price is the most important factor.

· More than half of all respondents (56%) also indicated that website usability is an important factor when comparing one retail website to another, coming in just behind price and reputation.

· 61% of all online shoppers would leave a web page and search for a competing vendor if it took longer than 30 seconds to load.

· The most popular time to shop online (40% of all respondents) is actually during typical 9:00AM to 5:00PM work hours, while the next largest group (32%) of online shoppers typically shops in the early evening between 5:00PM and 8:00PM.

“Simply avoiding downtime is often the primary goal for web developers and designers when maintaining websites, but as the holiday rush has shifted to online stores, success depends less on the minimum threshold of uptime and more on meeting the various other expectations of shoppers, to keep them coming back,” said Hovhannes Avoyan, General Manager at Monitis. “Consumers turn to online vendors for convenience, so it’s critical that e-retailers ensure a positive shopping experience by focusing on website usability and speed.”

The survey, which polled 1,006 US online shoppers, was conducted by Opinion Matters on behalf of Monitis.

Related Links:

Cyber Monday: 3 Tips to Ensure Web App Performance

Black Friday and the Customer Chaos, er, “Experience”!

Pete Goldin is Editor and Publisher of APMdigest

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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 ...