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DX More Important Than Ever to Consumers

Study of consumers reveals that brand loyalty takes a backseat to simple, efficient digital experiences — and shows that a great DX has a direct impact on revenue and retention

When it comes to digital transactions, Americans are loyal to the experience, not necessarily the brand, according to a survey of more than 7,000 consumers from across the US, Europe, and Asia Pacific commissioned by FullStory.

This research reveals that 40% of US consumers say they don't care where they buy from "as long as it works," making a great digital experience more important than ever for brands to remain competitive in uncertain economic times.

58% of Americans will pay a premium for a guaranteed flawless digital experience

The research also shows that even in a price-sensitive environment, the customer experience can have a direct impact on revenue: nearly six out of 10 of Americans (58%) will pay a premium for a guaranteed flawless digital experience. The demand is not exclusive to the US, with 59% of consumers worldwide stating the same.

The research also indicates that consumers' difficulty and stress on sites and apps pose a significant revenue risk for brands. More than half of respondents (53%) are unlikely to return to a business that provides a poor digital experience, and only 5% say they are "very likely" to give a brand a second chance after a bad online experience.

"Companies across sectors are looking for strategies to stand out and retain customers in the face of economic slowdown," said Scott Voigt, CEO of FullStory. "Providing an exceptional digital experience is one of the best ways to win customers, who are clearly open to switching brands and won't tolerate digital friction. Digital experience data and insights equip brands to create perfect digital experiences, making it easier for consumers to get things done online and helping businesses increase revenue and retention."

Keep It Simple

The data shows that the #1 factor to ensure a great digital experience in 2023 is the ability to "quickly accomplish what I came to do" — a priority for 81% of US consumers and 76% of consumers worldwide.


Unfortunately, many sectors are still failing to hit these fundamentals when it comes to the experiences they provide on sites and apps:

■ Healthcare — Only 31% describe the digital experience as "simple," with 27% saying the experience is "stressful" or "difficult."

■ Grocery — Only 33% describe the digital experience as "simple," with 16% saying the experience is "stressful" or "difficult."

■ Finance — Only 37% describe the digital experience as "simple," with 19% saying the experience is "stressful" or "difficult."

■ Retail — Online shopping sites fared the best, with nearly half of US consumers (46%) describing the digital experience as "simple," and 17% saying the experience is "stressful" or "difficult."

Focus on Digital Fundamentals

The study also shows that brands are failing to pay attention to the digital details that matter most to experience-obsessed consumers — and hurting their business as a result.

■ The majority of US consumers (53%) have struggled or been frustrated with a site or app in the past six months, and 64% say they're likely to leave without completing a transaction as a result.

■ 71% of Americans report that they have repeatedly clicked or tapped in frustration on a site or app.

■ The most common frustrations highlighted by US consumers include slow loading times (65%), page loading errors (62%), and dead links (45%).

■ Despite these issues, more than half (51%) will not report issues when they occur, meaning brands are often unaware of digital errors that are costing them revenue.

Global Consumers Reflect Same Attitudes

Comparable to US consumers, more than a third of Brits (38%) also say they "don’t care" where they buy from "as long as it works." Similarly, 46% in Australia and 48% of those in Germany say the same.

Methodology: FullStory's research was conducted by 3Gem, an independent research agency. It incorporates data from 7,000 consumers across the UK, US, Germany, The Netherlands, Australia, Singapore, and Indonesia. Research was conducted between December 2022 and January 2023.

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 ...

DX More Important Than Ever to Consumers

Study of consumers reveals that brand loyalty takes a backseat to simple, efficient digital experiences — and shows that a great DX has a direct impact on revenue and retention

When it comes to digital transactions, Americans are loyal to the experience, not necessarily the brand, according to a survey of more than 7,000 consumers from across the US, Europe, and Asia Pacific commissioned by FullStory.

This research reveals that 40% of US consumers say they don't care where they buy from "as long as it works," making a great digital experience more important than ever for brands to remain competitive in uncertain economic times.

58% of Americans will pay a premium for a guaranteed flawless digital experience

The research also shows that even in a price-sensitive environment, the customer experience can have a direct impact on revenue: nearly six out of 10 of Americans (58%) will pay a premium for a guaranteed flawless digital experience. The demand is not exclusive to the US, with 59% of consumers worldwide stating the same.

The research also indicates that consumers' difficulty and stress on sites and apps pose a significant revenue risk for brands. More than half of respondents (53%) are unlikely to return to a business that provides a poor digital experience, and only 5% say they are "very likely" to give a brand a second chance after a bad online experience.

"Companies across sectors are looking for strategies to stand out and retain customers in the face of economic slowdown," said Scott Voigt, CEO of FullStory. "Providing an exceptional digital experience is one of the best ways to win customers, who are clearly open to switching brands and won't tolerate digital friction. Digital experience data and insights equip brands to create perfect digital experiences, making it easier for consumers to get things done online and helping businesses increase revenue and retention."

Keep It Simple

The data shows that the #1 factor to ensure a great digital experience in 2023 is the ability to "quickly accomplish what I came to do" — a priority for 81% of US consumers and 76% of consumers worldwide.


Unfortunately, many sectors are still failing to hit these fundamentals when it comes to the experiences they provide on sites and apps:

■ Healthcare — Only 31% describe the digital experience as "simple," with 27% saying the experience is "stressful" or "difficult."

■ Grocery — Only 33% describe the digital experience as "simple," with 16% saying the experience is "stressful" or "difficult."

■ Finance — Only 37% describe the digital experience as "simple," with 19% saying the experience is "stressful" or "difficult."

■ Retail — Online shopping sites fared the best, with nearly half of US consumers (46%) describing the digital experience as "simple," and 17% saying the experience is "stressful" or "difficult."

Focus on Digital Fundamentals

The study also shows that brands are failing to pay attention to the digital details that matter most to experience-obsessed consumers — and hurting their business as a result.

■ The majority of US consumers (53%) have struggled or been frustrated with a site or app in the past six months, and 64% say they're likely to leave without completing a transaction as a result.

■ 71% of Americans report that they have repeatedly clicked or tapped in frustration on a site or app.

■ The most common frustrations highlighted by US consumers include slow loading times (65%), page loading errors (62%), and dead links (45%).

■ Despite these issues, more than half (51%) will not report issues when they occur, meaning brands are often unaware of digital errors that are costing them revenue.

Global Consumers Reflect Same Attitudes

Comparable to US consumers, more than a third of Brits (38%) also say they "don’t care" where they buy from "as long as it works." Similarly, 46% in Australia and 48% of those in Germany say the same.

Methodology: FullStory's research was conducted by 3Gem, an independent research agency. It incorporates data from 7,000 consumers across the UK, US, Germany, The Netherlands, Australia, Singapore, and Indonesia. Research was conducted between December 2022 and January 2023.

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 ...