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Trying To Improve Mobile App Experiences? The New Standard Is "Flawless"

John Reister

There was a time when consumers were so happy to have the power of a computer in their pockets that they’d put up with some usage flaws in exchange for information and entertainment on the go. But with higher costs of owning and using smartphones, and experiences enriched by 4G speeds, consumers have developed much higher performance expectations.

For the past two years, Vasona Networks has surveyed more than 1,000 smartphone owners about their mobile broadband performance expectations. This year, 72% of respondents said that they expect “good mobile data performance all of the time” with no hiccups or flaws. This is up 8% from the year before.

Even more striking is what we’ve learned about the increasing onus consumers put on their service providers to ensure great app experiences. In fact, the majority of consumers told us they hold their mobile operator most responsible when apps don’t function properly. This number is up to 55% from last year’s 40%, when app developers and operators were essentially tied for blame. This year, consumers that held the app developer most responsible dropped to 25%. In our most recent survey, the remaining 20% suspected either the device maker or operating system to be the cause of poor app performance. Considering recent operating system update struggles, perhaps there will be future increase in the blame placed there.

Regardless of where consumers place responsibility, delivering a great app experience is truly a shared burden across operators, technology providers and the developers of those apps.

On the app side, the developers that prioritize performance management work smartly to control the size of their apps, take advantage of the latest compression techniques, and give users control over how content is displayed depending on what type of network they’re connected to. These app developer strategies are well-covered by other authors on this site.

From our experience working with service providers, there are some exciting new techniques available for use in mobile networks that drive the best app experiences by smarter approaches to the RAN (Radio Access Network). Managing contending traffic that shares the cell air interface is a major area of focus. This is where bandwidth additions are most expensive, and, related to that, where congestion is most frequently encountered. Operators are finding better ways to address the diverse mixture of streaming media, web browsing and downloads that can cause severe congestion within cells.

Solutions like edge application controllers assess whether a cell faces congestion at any given moment, and understand which sessions are causing it and the experiences suffering the most as a result. Bandwidth is then reallocated based on application type and subscriber needs.

This is a leap beyond prior probe and DPI (Deep Packet Inspection) approaches that observe traffic patterns and congestion and then communicate through a policy control function to take enforcement action. But congestion and latency are transient phenomena that may last seconds or less. These small incidents can destroy app experiences and cause degradation with repercussions longer than the initial periods of congestion. In these cases, the information can be revealed too late by the probe and service experience is compromised before the DPI takes action.

The results of better approaches to RAN management are speaking for themselves. For instance, a US service provider using an edge application controller to manage the impact of congestion has achieved more than 30% improved bitrate performance for video and web browsing and more than 35% reduction in service latency during congestion. These numbers signify the difference between a great app experience and a frustrating one. Between a finger tapping happily on a screen or pointing angrily at the offending party.

As consumers stiffen their demands for mobile operators to assure flawless app experiences, the industry continues to move closer to that promise.

Click on the infographic below for a larger version.

John Reister is VP of Marketing and Product Management for Vasona Networks.

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Trying To Improve Mobile App Experiences? The New Standard Is "Flawless"

John Reister

There was a time when consumers were so happy to have the power of a computer in their pockets that they’d put up with some usage flaws in exchange for information and entertainment on the go. But with higher costs of owning and using smartphones, and experiences enriched by 4G speeds, consumers have developed much higher performance expectations.

For the past two years, Vasona Networks has surveyed more than 1,000 smartphone owners about their mobile broadband performance expectations. This year, 72% of respondents said that they expect “good mobile data performance all of the time” with no hiccups or flaws. This is up 8% from the year before.

Even more striking is what we’ve learned about the increasing onus consumers put on their service providers to ensure great app experiences. In fact, the majority of consumers told us they hold their mobile operator most responsible when apps don’t function properly. This number is up to 55% from last year’s 40%, when app developers and operators were essentially tied for blame. This year, consumers that held the app developer most responsible dropped to 25%. In our most recent survey, the remaining 20% suspected either the device maker or operating system to be the cause of poor app performance. Considering recent operating system update struggles, perhaps there will be future increase in the blame placed there.

Regardless of where consumers place responsibility, delivering a great app experience is truly a shared burden across operators, technology providers and the developers of those apps.

On the app side, the developers that prioritize performance management work smartly to control the size of their apps, take advantage of the latest compression techniques, and give users control over how content is displayed depending on what type of network they’re connected to. These app developer strategies are well-covered by other authors on this site.

From our experience working with service providers, there are some exciting new techniques available for use in mobile networks that drive the best app experiences by smarter approaches to the RAN (Radio Access Network). Managing contending traffic that shares the cell air interface is a major area of focus. This is where bandwidth additions are most expensive, and, related to that, where congestion is most frequently encountered. Operators are finding better ways to address the diverse mixture of streaming media, web browsing and downloads that can cause severe congestion within cells.

Solutions like edge application controllers assess whether a cell faces congestion at any given moment, and understand which sessions are causing it and the experiences suffering the most as a result. Bandwidth is then reallocated based on application type and subscriber needs.

This is a leap beyond prior probe and DPI (Deep Packet Inspection) approaches that observe traffic patterns and congestion and then communicate through a policy control function to take enforcement action. But congestion and latency are transient phenomena that may last seconds or less. These small incidents can destroy app experiences and cause degradation with repercussions longer than the initial periods of congestion. In these cases, the information can be revealed too late by the probe and service experience is compromised before the DPI takes action.

The results of better approaches to RAN management are speaking for themselves. For instance, a US service provider using an edge application controller to manage the impact of congestion has achieved more than 30% improved bitrate performance for video and web browsing and more than 35% reduction in service latency during congestion. These numbers signify the difference between a great app experience and a frustrating one. Between a finger tapping happily on a screen or pointing angrily at the offending party.

As consumers stiffen their demands for mobile operators to assure flawless app experiences, the industry continues to move closer to that promise.

Click on the infographic below for a larger version.

John Reister is VP of Marketing and Product Management for Vasona Networks.

Hot Topics

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 ...