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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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40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

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