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Poor Website and App Performance Results in Digital Desertion

Sven Hammar

Internet users are growing more demanding and less forgiving, according to the results of a consumer survey from Apica.

In a clear call to action for organizations around the world, Apica’s survey found that three quarters of respondents expect websites and apps to perform faster than they did three years ago.

Nearly 40 percent won’t wait more than ten seconds for a website to respond before navigating away.

Apica conducted the survey among internet users in the UK, US and Sweden, to investigate changing attitudes towards a brand’s digital performance. The survey of 2,250 consumers reveals that nearly 40 percent won’t wait more than ten seconds for a website to respond before navigating away. One in nine users (11 percent) won’t even give a site five seconds before moving onto another website.

The survey also found that digital disappointment affects brand loyalty, with 60 percent of consumers likely to be less loyal towards a brand if they experience poor website or app performance. Ten percent of participants said they would never return to an offending brand for goods or services. Swedes are least loyal towards a brand that lets them down online, with 73 percent likely to turn to competitors.

Carmen Carey, CEO, Apica, said, “These results demonstrate that digital consumers have limited patience for slow performance or delays. There is clearly a general expectation that sites and apps will perform faster and better, particularly with the advent of born digital organizations. The onus is now on businesses, whether they’re a leading financial company or an online retailer, to ensure peak performance at all times.”

The survey also revealed that users also have limited patience for organizations that schedule maintenance on websites and apps. Less than half (46 percent) of users said that several hours of downtime was acceptable, and even then, reasons for the downtime had to be properly communicated. 54 percent respondents had an "upper limit" of one hour, and more than 1/10 (13 percent) actually expect 100 percent uptime.

Negative digital experiences are also likely to impact brand reputation with 83 percent of global respondents reporting they would consider telling colleagues about a poor website or app experience, and almost 4 in 10 would definitely share this.

“If companies wish to retain both customers and revenue, they must focus on proactive performance testing and monitoring of their digital services to ensure that, even at peak times, downtime does not occur,” added Carmen.

Read How Insufficient API Testing Can Impact Your End Users

Apica monitors ecommerce websites and publishes an annual Black Friday Web Performance Index. Last year, it revealed that whist the top ten eCommerce websites are healthy, the rest are lagging expectations. The 2017 index is due to be published late November after Black Friday and Cyber Monday.

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Poor Website and App Performance Results in Digital Desertion

Sven Hammar

Internet users are growing more demanding and less forgiving, according to the results of a consumer survey from Apica.

In a clear call to action for organizations around the world, Apica’s survey found that three quarters of respondents expect websites and apps to perform faster than they did three years ago.

Nearly 40 percent won’t wait more than ten seconds for a website to respond before navigating away.

Apica conducted the survey among internet users in the UK, US and Sweden, to investigate changing attitudes towards a brand’s digital performance. The survey of 2,250 consumers reveals that nearly 40 percent won’t wait more than ten seconds for a website to respond before navigating away. One in nine users (11 percent) won’t even give a site five seconds before moving onto another website.

The survey also found that digital disappointment affects brand loyalty, with 60 percent of consumers likely to be less loyal towards a brand if they experience poor website or app performance. Ten percent of participants said they would never return to an offending brand for goods or services. Swedes are least loyal towards a brand that lets them down online, with 73 percent likely to turn to competitors.

Carmen Carey, CEO, Apica, said, “These results demonstrate that digital consumers have limited patience for slow performance or delays. There is clearly a general expectation that sites and apps will perform faster and better, particularly with the advent of born digital organizations. The onus is now on businesses, whether they’re a leading financial company or an online retailer, to ensure peak performance at all times.”

The survey also revealed that users also have limited patience for organizations that schedule maintenance on websites and apps. Less than half (46 percent) of users said that several hours of downtime was acceptable, and even then, reasons for the downtime had to be properly communicated. 54 percent respondents had an "upper limit" of one hour, and more than 1/10 (13 percent) actually expect 100 percent uptime.

Negative digital experiences are also likely to impact brand reputation with 83 percent of global respondents reporting they would consider telling colleagues about a poor website or app experience, and almost 4 in 10 would definitely share this.

“If companies wish to retain both customers and revenue, they must focus on proactive performance testing and monitoring of their digital services to ensure that, even at peak times, downtime does not occur,” added Carmen.

Read How Insufficient API Testing Can Impact Your End Users

Apica monitors ecommerce websites and publishes an annual Black Friday Web Performance Index. Last year, it revealed that whist the top ten eCommerce websites are healthy, the rest are lagging expectations. The 2017 index is due to be published late November after Black Friday and Cyber Monday.

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 ...