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4 Points to Consider When Selecting a Mobile App Performance Solution

In mobile, APM has taken on new and critical importance. With mobile apps becoming increasingly vital to a business’ overall performance, it is important to manage 
and improve — not just measure — application performance. Thus the focus and purpose of Mobile Application Performance Management centers on helping companies detect, prioritize, isolate, diagnose, repair, and prevent problems before users or a business are impacted. The goal is to improve customer experience, boost loyalty and increase enterprise efficiency.

When all is said and done, end-user experience with an application is what really matters. Effective mobile application performance management optimizes application availability and response time, ensuring the best user experience.

The following guidelines will arm IT leaders with the necessary steps to finding the right mobile app performance management solution for 100% success.

1. Drill down in the data

Once you pinpoint the cause of a crash, be sure your solution can tie diagnostic data back to your app’s network data, allowing you to isolate issues or track down misbehaving API endpoints. Even better if your solution goes beyond analyzing metrics such as latency, request and data volume, and can filter all of your endpoints grouped by cloud service. That will help you diagnose the errors in detail.

2. Think BIG

Even if you are not a big organization now you should harness a solution that can scale with your business. Solid candidates are ones that have "Mobile First" baked into their corporate DNA and purposely built the capabilities to scale (through a cloud-based infrastructure). These providers are going to be the pros at mobile app management — a position that gives them key insights (drawn from millions of devices and billions of apps) — and makes them a good partner in your wider strategy to make your app succeed.

3. Visibility matters

Monitoring glaring coding mistakes is just as necessary as sorting out smaller edge cases 
to win the battle for users and five-star reviews. Choose a solution that allows you to visualize aggregated data on a dashboard. That’s really the only way to see how people are using your app, account for all variables and explore exactly where errors occur. Even better if the provider has developed an integrated strategy to show you what is actually happening in the field. Access through a single, easy-to-use dashboard is essential to delivering consistent high app performance as part of your mobile app lifecycle.

4. Put business goals first

Obviously a mobile app performance management solution must analyze performance of your mobile sessions. But an effective approach goes an important step further, tying session analysis 
back to your business goals (user retention, completing a level in a game, shopping cart purchase, etc). Most importantly, your solution should provide potential fixes or solutions to performance issues.

Finally, choosing a provider that can go that one step further and sort the crash groups by the number of users affected is a key element. This will allow organizations to focus efforts and resources on fixing the bugs that have impacted the largest number of users.

Jeannie Liou is a Marketing Manager at Crittercism

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4 Points to Consider When Selecting a Mobile App Performance Solution

In mobile, APM has taken on new and critical importance. With mobile apps becoming increasingly vital to a business’ overall performance, it is important to manage 
and improve — not just measure — application performance. Thus the focus and purpose of Mobile Application Performance Management centers on helping companies detect, prioritize, isolate, diagnose, repair, and prevent problems before users or a business are impacted. The goal is to improve customer experience, boost loyalty and increase enterprise efficiency.

When all is said and done, end-user experience with an application is what really matters. Effective mobile application performance management optimizes application availability and response time, ensuring the best user experience.

The following guidelines will arm IT leaders with the necessary steps to finding the right mobile app performance management solution for 100% success.

1. Drill down in the data

Once you pinpoint the cause of a crash, be sure your solution can tie diagnostic data back to your app’s network data, allowing you to isolate issues or track down misbehaving API endpoints. Even better if your solution goes beyond analyzing metrics such as latency, request and data volume, and can filter all of your endpoints grouped by cloud service. That will help you diagnose the errors in detail.

2. Think BIG

Even if you are not a big organization now you should harness a solution that can scale with your business. Solid candidates are ones that have "Mobile First" baked into their corporate DNA and purposely built the capabilities to scale (through a cloud-based infrastructure). These providers are going to be the pros at mobile app management — a position that gives them key insights (drawn from millions of devices and billions of apps) — and makes them a good partner in your wider strategy to make your app succeed.

3. Visibility matters

Monitoring glaring coding mistakes is just as necessary as sorting out smaller edge cases 
to win the battle for users and five-star reviews. Choose a solution that allows you to visualize aggregated data on a dashboard. That’s really the only way to see how people are using your app, account for all variables and explore exactly where errors occur. Even better if the provider has developed an integrated strategy to show you what is actually happening in the field. Access through a single, easy-to-use dashboard is essential to delivering consistent high app performance as part of your mobile app lifecycle.

4. Put business goals first

Obviously a mobile app performance management solution must analyze performance of your mobile sessions. But an effective approach goes an important step further, tying session analysis 
back to your business goals (user retention, completing a level in a game, shopping cart purchase, etc). Most importantly, your solution should provide potential fixes or solutions to performance issues.

Finally, choosing a provider that can go that one step further and sort the crash groups by the number of users affected is a key element. This will allow organizations to focus efforts and resources on fixing the bugs that have impacted the largest number of users.

Jeannie Liou is a Marketing Manager at Crittercism

Hot Topics

The Latest

UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...

AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...

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Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...

A payment gateway fails at 2 AM. Thousands of transactions hang in limbo. Post-mortems reveal failures cascading across dozens of services, each technically sound in isolation. The diagnosis takes hours. The fix requires coordinated deployments across teams ...

Every enterprise technology conversation right now circles back to AI agents. And for once, the excitement isn't running too far ahead of reality. According to a Zapier survey of over 500 enterprise leaders, 72% of enterprises are already using or testing AI agents, and 84% plan to increase their investment over the next 12 months. Those numbers are big. But they also raise a question that doesn't get asked enough: what exactly are companies doing with these agents, and are they actually getting value from them? ...

Many organizations still rely on reactive availability models, taking action only after an outage occurs. However, as applications become more complex, this approach often leads to delayed detection, prolonged disruption, and incomplete recovery. Monitoring is evolving from a basic operational function into a foundational capability for sustaining availability in modern environments ...

In MEAN TIME TO INSIGHT Episode 22, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses DNS Security ... 

The financial stakes of extended service disruption has made operational resilience a top priority, according to 2026 State of AI-First Operations Report, a report from PagerDuty. According to survey findings, 95% of respondents believe their leadership understands the competitive advantage that can be gained from reducing incidents and speeding recovery ...