mobile benchmark report artWhether you’re a mobile developer or a mobile consumer, at one point or another you’ve likely pondered at least one of the following questions:

  • Which wireless carrier has the fastest response time?
  • Which mobile device has the best performance?
  • Which operating system is most widely used worldwide?

That’s because you understand why it’s important to keep a finger on the pulse of what’s going on in the mobile ecosystem. You want to make sure you’re getting and delivering the best mobile experience possible—which is exactly why we produced the New Relic 2015 Mobile Benchmark Report.

Get a glimpse into industry performance data

This report shines a light into actual industry performance data aggregated by New Relic Mobile, helping you see the bigger picture of today’s mobile environment. It answers all of the questions above, plus much more. For example, did you know that

  • Verizon’s network has the fastest average response time?
  • Network requests are the most common cause of slow user interactions?
  • Apple operating system usage is more fragmented than you think?

And that’s just a small taste of the type of data our Mobile Benchmark report has to offer, so be sure to take a look. If you’re feeling all creative and inspired afterward, we’ve got the perfect webinar to keep your mobile metrics flowing!

Learn how to analyze your own mobile data

Earlier this year we announced a powerful, new integration that is designed to allow New Relic Insights users to analyze their New Relic Mobile data as well. You can learn how it all works in our upcoming webinar, “Analyze Mobile Data with New Relic Insights,” on May 7, 2015, at 11:00 a.m. PST. We’ll show you how to measure and analyze all types of interesting data points about the application performance of your mobile apps, so register today.

Note: Event dates and schedules are subject to change without notice.

Additional mobile resources


Ankush is the Director of the Growth & Data Science teams at New Relic, managing a team of data engineers, data scientists, data analysts, application developers, product managers, and designers. He focuses on acquisition, activation, and monetization initiatives, and builds end-to-end systems for advanced analytics and machine learning applications of our customer data. His teams use these techniques to drive in-product experiences that optimize conversion. Additionally, his teams build internal data applications which provide proactive customer health metrics and alerting for go-to-market teams to retain and expand ARR. You can check out his personal site at View posts by .

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