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Apps That Crash? How App Stability Impacts User Experience and Affects a Business's Bottom Line

James Smith
SmartBear

Mobile apps play an increasingly central role in the interactions between customers and brands. We know that users spent about $34 billion on apps in Q2 of 2021 , breaking last year's Q2 record by a whopping $7 billion. With nearly 1.8 million apps on the Apple app store and more than 1,000 new apps released every day, the modern smartphone user has endless choice and variety, translating to higher user experience standards.

B2C apps allow customers to engage with both new and staple brands alike, driving revenue growth opportunities for businesses. B2B apps, on the other hand, give organizations the opportunity to modernize things like training, employee engagement, workflow management, logistics and planning, and more, without the need for technical experts on staff.

One of the strongest indicators we have of smooth, error-free user experiences is app stability. As a vital business metric, an app's stability score translates directly to customer conversion, engagement and retention. The importance of app stability cannot be overstated.

Bugsnag recently released the results of its second app stability report: Application Stability Index (ASI): Characteristics of Leading Mobile Apps. The report analyzed app stability scores in industry verticals such as B2B SaaS, eCommerce, consumer goods, finance & banking, gaming, technology and travel & hospitality. The goal of the ASI is to help organizations understand how their app is performing compared to others and what level of stability it needs to achieve a leader status in its industry.

The results of the ASI highlight the need for regular and proactive error monitoring and stability management, meaning how often an app crashes. Overall, the data showed that of the ten verticals analyzed, travel and hospitality earned the highest median app stability score (99.90%), followed by a three-way tie among B2B sales, eCommerce and finance and banking, with each scoring 99.85%. Media and entertainment was at the bottom (99.65%).

Let's explore a few of the most prominent app success indicators and how app engineers can shift their development strategy to better meet the needs of today's app users.

Higher Stability Score = Higher App Store Ratings

The median stability score across all of the apps analyzed in the ASI was 99.8%. The ASI found that just a 1% lower stability score can lead to a drop of almost 1 whole star in the app stores. That fact alone has huge implications for developers and app engineers. More stable apps drive more exceptional user experiences, maximize retention and build competitive advantage, which is critical to an app's long-term growth and success. To secure higher app store ratings, an app must deliver on usefulness, design, engagement and stability. Being able to balance all four of those elements is key to growing the app's reputation and rating, and thus, gaining users and boosting an app's profitability.

Higher Stability Score = Higher Interaction Volume and Value

While we typically define app stability as a calculation of crash-free sessions, it is also impacted by business decisions. Organizations must analyze the value and volume of interactions in order to get an accurate representation of their app stability. In terms of value, that means the interest showed by a customer for a certain product or service and their overall experience with the app, which can translate into brand loyalty, referrals to friends and family and more in-app purchases. Volume, on the other hand, looks sheerly at the number of interactions with a specific app. While value and volume are both indicators of higher app stability, value of the interaction may be the strongest predictor of app stability because it can help circle resources back into the improvement of an app. Since interaction value determines product and pricing models, that carries over to an engineering teams' incentives to roll out bug fixes and feature releases.

Weekly Release Cadence Will Become the Norm

Software engineers are adopting a weekly release cadence to replace the bi-weekly norm. Data across industries indicate that apps are being updated with a new version on average four times within a thirty-day time span. This is important because it tells us there is a greater push by developers to regularly deliver features and, most importantly, address software bugs that decrease stability scores. The direct correlation between app store ratings and accelerated release cadences tells us that, with the right tools, developers can increase release frequency without sacrificing quality. It's worth noting here that some bugs are inevitable in any app release. Software engineers must only worry about fixing the bugs that matter — that is, the ones that tangibly impact the user experience. To identify which bugs matter, comprehensive diagnostic tools are essential, enabling engineers to prioritize errors and make data-drive decisions.

The ASI also indicated that higher frequency of release helps app developers improve the dynamic with their customers and ultimately build more confidence in their development strategy. Adopting a progressive delivery strategy, defined by phased rollouts, feature flags and A/B testing, is a key part of enabling these quicker app release cycles.

Conclusion

Apps play an increasingly prominent role in our personal and professional lives, and users are coming to expect smoother and more dynamic app experiences. Even though app stability is a KPI owned by engineers and developers, its impact is felt throughout the larger organization through brand reputation and the ability to compete with similar apps. Having a stronger focus on app stability will enable engineering teams to build healthier apps that deliver superior customer experiences.

James Smith is SVP of the Bugsnag Product Group at SmartBear

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Apps That Crash? How App Stability Impacts User Experience and Affects a Business's Bottom Line

James Smith
SmartBear

Mobile apps play an increasingly central role in the interactions between customers and brands. We know that users spent about $34 billion on apps in Q2 of 2021 , breaking last year's Q2 record by a whopping $7 billion. With nearly 1.8 million apps on the Apple app store and more than 1,000 new apps released every day, the modern smartphone user has endless choice and variety, translating to higher user experience standards.

B2C apps allow customers to engage with both new and staple brands alike, driving revenue growth opportunities for businesses. B2B apps, on the other hand, give organizations the opportunity to modernize things like training, employee engagement, workflow management, logistics and planning, and more, without the need for technical experts on staff.

One of the strongest indicators we have of smooth, error-free user experiences is app stability. As a vital business metric, an app's stability score translates directly to customer conversion, engagement and retention. The importance of app stability cannot be overstated.

Bugsnag recently released the results of its second app stability report: Application Stability Index (ASI): Characteristics of Leading Mobile Apps. The report analyzed app stability scores in industry verticals such as B2B SaaS, eCommerce, consumer goods, finance & banking, gaming, technology and travel & hospitality. The goal of the ASI is to help organizations understand how their app is performing compared to others and what level of stability it needs to achieve a leader status in its industry.

The results of the ASI highlight the need for regular and proactive error monitoring and stability management, meaning how often an app crashes. Overall, the data showed that of the ten verticals analyzed, travel and hospitality earned the highest median app stability score (99.90%), followed by a three-way tie among B2B sales, eCommerce and finance and banking, with each scoring 99.85%. Media and entertainment was at the bottom (99.65%).

Let's explore a few of the most prominent app success indicators and how app engineers can shift their development strategy to better meet the needs of today's app users.

Higher Stability Score = Higher App Store Ratings

The median stability score across all of the apps analyzed in the ASI was 99.8%. The ASI found that just a 1% lower stability score can lead to a drop of almost 1 whole star in the app stores. That fact alone has huge implications for developers and app engineers. More stable apps drive more exceptional user experiences, maximize retention and build competitive advantage, which is critical to an app's long-term growth and success. To secure higher app store ratings, an app must deliver on usefulness, design, engagement and stability. Being able to balance all four of those elements is key to growing the app's reputation and rating, and thus, gaining users and boosting an app's profitability.

Higher Stability Score = Higher Interaction Volume and Value

While we typically define app stability as a calculation of crash-free sessions, it is also impacted by business decisions. Organizations must analyze the value and volume of interactions in order to get an accurate representation of their app stability. In terms of value, that means the interest showed by a customer for a certain product or service and their overall experience with the app, which can translate into brand loyalty, referrals to friends and family and more in-app purchases. Volume, on the other hand, looks sheerly at the number of interactions with a specific app. While value and volume are both indicators of higher app stability, value of the interaction may be the strongest predictor of app stability because it can help circle resources back into the improvement of an app. Since interaction value determines product and pricing models, that carries over to an engineering teams' incentives to roll out bug fixes and feature releases.

Weekly Release Cadence Will Become the Norm

Software engineers are adopting a weekly release cadence to replace the bi-weekly norm. Data across industries indicate that apps are being updated with a new version on average four times within a thirty-day time span. This is important because it tells us there is a greater push by developers to regularly deliver features and, most importantly, address software bugs that decrease stability scores. The direct correlation between app store ratings and accelerated release cadences tells us that, with the right tools, developers can increase release frequency without sacrificing quality. It's worth noting here that some bugs are inevitable in any app release. Software engineers must only worry about fixing the bugs that matter — that is, the ones that tangibly impact the user experience. To identify which bugs matter, comprehensive diagnostic tools are essential, enabling engineers to prioritize errors and make data-drive decisions.

The ASI also indicated that higher frequency of release helps app developers improve the dynamic with their customers and ultimately build more confidence in their development strategy. Adopting a progressive delivery strategy, defined by phased rollouts, feature flags and A/B testing, is a key part of enabling these quicker app release cycles.

Conclusion

Apps play an increasingly prominent role in our personal and professional lives, and users are coming to expect smoother and more dynamic app experiences. Even though app stability is a KPI owned by engineers and developers, its impact is felt throughout the larger organization through brand reputation and the ability to compete with similar apps. Having a stronger focus on app stability will enable engineering teams to build healthier apps that deliver superior customer experiences.

James Smith is SVP of the Bugsnag Product Group at SmartBear

Hot Topics

The Latest

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 ...

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