How Fast is Fast Enough? Consumers Expect Mobile Apps to Launch in 3 Seconds or Less

Shlomi Gian

Mobile app performance is still a significant issue. The Effect of Mobile Network Performance on Mobile App Users, a study conducted by PacketZoom, showed that 66% of consumers say reliable mobile app performance is "very important" — second only to mobile app security.


The majority of users (71%) in the study expect apps to load within three seconds and 63% abandon an app that takes more than five seconds to load.


The study also found direct correlation between mobile app performance and the brand perception. Consumers express impatience and frustration when it comes to poor performing mobile apps.


Other Study Highlights:

■ Most users (67%) spend time on their mobile apps while at home using wifi networks, yet 86% of users reported some mobile app performance issues in the past six months.

■ When using a poor performing mobile app: 44% of users would close the app, 34% would be less likely to use the app again and 32% would uninstall the app altogether.

■ 55% of users are likely to use a fast and reliable mobile app again; 33% are likely to use it longer (i.e., spend more time on the app) and 29% would prefer it over a competitive app.

Methdology: The study included over 2,000 mobile app users in partnership with mobile ad platform Tapjoy.

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How Fast is Fast Enough? Consumers Expect Mobile Apps to Launch in 3 Seconds or Less

Shlomi Gian

Mobile app performance is still a significant issue. The Effect of Mobile Network Performance on Mobile App Users, a study conducted by PacketZoom, showed that 66% of consumers say reliable mobile app performance is "very important" — second only to mobile app security.


The majority of users (71%) in the study expect apps to load within three seconds and 63% abandon an app that takes more than five seconds to load.


The study also found direct correlation between mobile app performance and the brand perception. Consumers express impatience and frustration when it comes to poor performing mobile apps.


Other Study Highlights:

■ Most users (67%) spend time on their mobile apps while at home using wifi networks, yet 86% of users reported some mobile app performance issues in the past six months.

■ When using a poor performing mobile app: 44% of users would close the app, 34% would be less likely to use the app again and 32% would uninstall the app altogether.

■ 55% of users are likely to use a fast and reliable mobile app again; 33% are likely to use it longer (i.e., spend more time on the app) and 29% would prefer it over a competitive app.

Methdology: The study included over 2,000 mobile app users in partnership with mobile ad platform Tapjoy.

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Beyond Traditional Autoscaling: The Future of Kubernetes in AI Infrastructure

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI Drives Surge in Data Budgets

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How GenAI Can Save Time for the NetOps Team

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

Will AI Solve the Growing Data Divide?

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Top Concerns for Tech Decision Makers

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

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2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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