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Performance is Personal

Prathap Dendi

Today’s consumers are now accustomed to lightning-fast digital experiences thanks to the high bar set by Amazon, Apple, Facebook, and Google. In 2017, every second counts and even minor issues can have a significant impact on the success or failure of a brand interaction. Our latest research found that two thirds of people have rising expectations for digital performance, showing that businesses can expect consumer pressure to grow.

The App Attention Index 2017 surveyed 1,000 people each in the US, UK, France, and Germany. The results revealed just how unforgiving consumers are of badly performing digital services.

Nearly two-thirds of consumers have deleted an app or abandoned a website after just one attempt due to problems with performance. But because digital leaders continually raise the bar for consumer expectations, brands don’t win a customer for life after one use. In fact, 80 percent of respondents deleted apps because performance didn’t meet their expectations. So even if a brand is able to impress a customer today, it doesn’t guarantee that same customer will stick around tomorrow.

As new interfaces such as voice interaction come to the fore, things will become even more complex, increasing the need for effective monitoring. Although these new interfaces reduce friction, they can cause more problems if they’re not integrated well within the overall service.

As our latest research proves digital performance is critical to helping brands meet rapidly-evolving consumer expectations. Apps will inevitably become more complex as they redefine our daily lives, and managing this will be key to success.

The Latest

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 ...

Performance is Personal

Prathap Dendi

Today’s consumers are now accustomed to lightning-fast digital experiences thanks to the high bar set by Amazon, Apple, Facebook, and Google. In 2017, every second counts and even minor issues can have a significant impact on the success or failure of a brand interaction. Our latest research found that two thirds of people have rising expectations for digital performance, showing that businesses can expect consumer pressure to grow.

The App Attention Index 2017 surveyed 1,000 people each in the US, UK, France, and Germany. The results revealed just how unforgiving consumers are of badly performing digital services.

Nearly two-thirds of consumers have deleted an app or abandoned a website after just one attempt due to problems with performance. But because digital leaders continually raise the bar for consumer expectations, brands don’t win a customer for life after one use. In fact, 80 percent of respondents deleted apps because performance didn’t meet their expectations. So even if a brand is able to impress a customer today, it doesn’t guarantee that same customer will stick around tomorrow.

As new interfaces such as voice interaction come to the fore, things will become even more complex, increasing the need for effective monitoring. Although these new interfaces reduce friction, they can cause more problems if they’re not integrated well within the overall service.

As our latest research proves digital performance is critical to helping brands meet rapidly-evolving consumer expectations. Apps will inevitably become more complex as they redefine our daily lives, and managing this will be key to success.

The Latest

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 ...