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Only 6% of Consumers Stay Loyal to a Brand After a Crash

Most (85%) consumers shop online or via a mobile app, with 59% using these digital channels as their primary holiday shopping channel, according to the Black Friday Consumer Report from Perforce Software.


As brands head into a highly profitable time of year, starting with Black Friday and Cyber Monday, it's imperative development teams prepare for peak traffic, optimal channel performance, and seamless user experiences to retain and attract shoppers.

"The last few years have accelerated brand digital transformation efforts and expectations — and now, the cost of failure is much higher when delivering web and mobile experiences," said Eran Kinsbruner, Chief Evangelist at Perforce. "Brands no longer have excuses to be unprepared for high traffic seasons like holiday shopping. It's up to DevOps teams to evolve their testing strategies and lay a stronger foundation for web and mobile success; carefully planning and appropriately allocating the people, processes, and technology (in that order) to collaborate and become more agile."

Consumers Are Not Afraid to Take Business Elsewhere

Consumers' expectations for user experience are incredible high, and brands must understand what shoppers want to deliver better experiences and gain their wallet share.

The report shows 78% of consumers have thought about taking their business elsewhere if a shopping app crashes on them or is slow to load when navigating; and only 6% will stay loyal to a brand after a crash occurs.

Further, 31% believe these channels should never crash, 15% expect crashes to be fixed within seconds, and 28% expect fixes within minutes to keep them shopping on the same app or site.

68% of consumers have even wanted to throw their phone against the wall when a shopping app crashes

The survey also found that 68% of consumers have even wanted to throw their phone against the wall when a shopping app crashes.

With holiday season traffic reaching peak numbers, it's critical to test load capacity and improve the backend to endure high visitor traffic.

"Our survey reinforced what we already knew — when shopping digitally, we're finding people have less patience for bad experiences," said Stephen Feloney, VP of Products, Application Quality at Perforce. "Brands must do a better job of adopting continuous testing strategies to capture performance and functional issues early, as well as to fix security, accessibility, and user experience bugs before they reach the consumer."

Methodology: Perforce surveyed 1,000 people 18+ in the US with Dynata, a Data and Survey Insights Platform.

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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 ...

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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 ...

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If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

Only 6% of Consumers Stay Loyal to a Brand After a Crash

Most (85%) consumers shop online or via a mobile app, with 59% using these digital channels as their primary holiday shopping channel, according to the Black Friday Consumer Report from Perforce Software.


As brands head into a highly profitable time of year, starting with Black Friday and Cyber Monday, it's imperative development teams prepare for peak traffic, optimal channel performance, and seamless user experiences to retain and attract shoppers.

"The last few years have accelerated brand digital transformation efforts and expectations — and now, the cost of failure is much higher when delivering web and mobile experiences," said Eran Kinsbruner, Chief Evangelist at Perforce. "Brands no longer have excuses to be unprepared for high traffic seasons like holiday shopping. It's up to DevOps teams to evolve their testing strategies and lay a stronger foundation for web and mobile success; carefully planning and appropriately allocating the people, processes, and technology (in that order) to collaborate and become more agile."

Consumers Are Not Afraid to Take Business Elsewhere

Consumers' expectations for user experience are incredible high, and brands must understand what shoppers want to deliver better experiences and gain their wallet share.

The report shows 78% of consumers have thought about taking their business elsewhere if a shopping app crashes on them or is slow to load when navigating; and only 6% will stay loyal to a brand after a crash occurs.

Further, 31% believe these channels should never crash, 15% expect crashes to be fixed within seconds, and 28% expect fixes within minutes to keep them shopping on the same app or site.

68% of consumers have even wanted to throw their phone against the wall when a shopping app crashes

The survey also found that 68% of consumers have even wanted to throw their phone against the wall when a shopping app crashes.

With holiday season traffic reaching peak numbers, it's critical to test load capacity and improve the backend to endure high visitor traffic.

"Our survey reinforced what we already knew — when shopping digitally, we're finding people have less patience for bad experiences," said Stephen Feloney, VP of Products, Application Quality at Perforce. "Brands must do a better job of adopting continuous testing strategies to capture performance and functional issues early, as well as to fix security, accessibility, and user experience bugs before they reach the consumer."

Methodology: Perforce surveyed 1,000 people 18+ in the US with Dynata, a Data and Survey Insights Platform.

The Latest

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

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 ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...