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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

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

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