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Brand Loyalty Has a 6 Second Shelf Life

Aruna Ravichandran

Mobile and desktop applications have become the new battleground for brand loyalty, according to a global study commissioned by CA Technologies. In today’s software-driven world, where consumers are more discerning about what they expect from applications, the reality is that businesses that fail to deliver a positive application experience risk losing as much as a quarter of their customer base.

The study – Software: the New Battleground for Brand Loyalty – surveyed 6,770 consumers and 809 business decision makers in 18 countries to uncover how each group thought various characteristics of applications impacted user experience, and how well different industries delivered on those characteristics. Consumers identified three that have the biggest impact on the consumer experience:

1. Quick Loading

68 percent of consumer respondents, who left a brand because of poor load times, said a loading time of six or less seconds was acceptable – and slightly more than half of those respondents demand a load time of less than three seconds.

2. Simple Functionality

More than 70 percent of consumers ranked "perform tasks with little difficulty" and almost 80% ranked applications that have "easy to use features" as top drivers of their decision to utilize or purchase an application.

3. The Assurance of Security

Out of users who had a fair or poor experience, 10 percent said that they would leave a brand forever because of issues with security.


“Consumers no longer view applications as nice-to-have novelties. They now have a huge impact on customer loyalty,” said Andi Mann, VP, Strategic Solutions, CA Technologies. “As businesses navigate a new, always-connected reality that produces vast amounts of ambient data, they must react by delivering a personalized, secure and engaging application experience.”

There is a disconnect, the study revealed, between how well businesses decision makers think industries are able to provide application technologies, and how well consumers believe the same industries are actually delivering. Specifically, businesses think application delivery is largely better than consumers do: a difference of 15 percent in financial services, and 14 percent each in Information and Technology and Government Administration.

The study also highlighted how applications have become a crucial meeting point between consumers and organizations. According to the survey, 49 percent of consumers are using applications to bank and 48 percent use applications to shop; and more than half of respondents say they’d be willing to use applications to perform tasks like paying taxes, managing healthcare or even voting in elections.

“In order to tap into the growth potential of the application economy, businesses and governments must make software more than just a part of their business – it must become their business,” said Mann. “And to do this, they have to let their customers lead: listen to them, understand their needs, and apply the same rigor and predictive analysis to application development and deployment as they would to determine the best location for a retail store.”

Survey Methodology: Zogby Analytics conducted the CA Technologies-sponsored study of 6,770 consumers and 809 business decision makers in 18 countries.

Aruna Ravichandran is VP, Product & Solutions Marketing, DevOps, CA Technologies.

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Brand Loyalty Has a 6 Second Shelf Life

Aruna Ravichandran

Mobile and desktop applications have become the new battleground for brand loyalty, according to a global study commissioned by CA Technologies. In today’s software-driven world, where consumers are more discerning about what they expect from applications, the reality is that businesses that fail to deliver a positive application experience risk losing as much as a quarter of their customer base.

The study – Software: the New Battleground for Brand Loyalty – surveyed 6,770 consumers and 809 business decision makers in 18 countries to uncover how each group thought various characteristics of applications impacted user experience, and how well different industries delivered on those characteristics. Consumers identified three that have the biggest impact on the consumer experience:

1. Quick Loading

68 percent of consumer respondents, who left a brand because of poor load times, said a loading time of six or less seconds was acceptable – and slightly more than half of those respondents demand a load time of less than three seconds.

2. Simple Functionality

More than 70 percent of consumers ranked "perform tasks with little difficulty" and almost 80% ranked applications that have "easy to use features" as top drivers of their decision to utilize or purchase an application.

3. The Assurance of Security

Out of users who had a fair or poor experience, 10 percent said that they would leave a brand forever because of issues with security.


“Consumers no longer view applications as nice-to-have novelties. They now have a huge impact on customer loyalty,” said Andi Mann, VP, Strategic Solutions, CA Technologies. “As businesses navigate a new, always-connected reality that produces vast amounts of ambient data, they must react by delivering a personalized, secure and engaging application experience.”

There is a disconnect, the study revealed, between how well businesses decision makers think industries are able to provide application technologies, and how well consumers believe the same industries are actually delivering. Specifically, businesses think application delivery is largely better than consumers do: a difference of 15 percent in financial services, and 14 percent each in Information and Technology and Government Administration.

The study also highlighted how applications have become a crucial meeting point between consumers and organizations. According to the survey, 49 percent of consumers are using applications to bank and 48 percent use applications to shop; and more than half of respondents say they’d be willing to use applications to perform tasks like paying taxes, managing healthcare or even voting in elections.

“In order to tap into the growth potential of the application economy, businesses and governments must make software more than just a part of their business – it must become their business,” said Mann. “And to do this, they have to let their customers lead: listen to them, understand their needs, and apply the same rigor and predictive analysis to application development and deployment as they would to determine the best location for a retail store.”

Survey Methodology: Zogby Analytics conducted the CA Technologies-sponsored study of 6,770 consumers and 809 business decision makers in 18 countries.

Aruna Ravichandran is VP, Product & Solutions Marketing, DevOps, CA Technologies.

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From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...