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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

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 ...

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

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 ...