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Non-Negotiables for Black Friday Online Shopping

Kapil Tandon
Perforce

Black Friday is a time when consumers can cash in on some of the biggest deals retailers offer all year long. But in this digital age, the historically one-day, in-person event in brick-and-mortar stores has extended to the palm of consumers' hands. Nearly two-thirds of consumers utilize a retailer's web and mobile app for holiday shopping, raising the stakes for competitors to provide the best online experience to retain customer loyalty. Perforce's 2023 Black Friday survey sheds light on consumers' expectations this time of year and how developers can properly prepare their applications for increased online traffic.


Source: Perforce

Efficient, Secure, and Crash-Free Are Consumers' Non-Negotiables

According to nearly half of surveyed consumers, the most frustrating online shopping experience is a slow load time, with more than half of respondents saying quick page and image load times are of the utmost importance. Shoppers tend to turn to online shopping as a quick and convenient way to buy what they need in one place, so if a page or image doesn't load promptly, it could result in a frustrated customer and a lost sale. As the line continues to blur between traditional Black Friday sales at brick-and-mortar sales and online deals running from Friday to Cyber Monday, customers are no longer willing to accept slow mobile and web experiences.

Additionally, it is critical that companies protect customers' most precious data, like credit card numbers and home addresses, and the survey results prove it: nearly two-thirds of consumers expect a secure transaction, up by 10% from last year's survey. If software testing teams don't ensure a safe checkout process, they risk losing customers' trust, which not only affects a company's bottom line, but their reputation as well.

Finally, customers expect an application or website to work seamlessly, but if it doesn't, nearly three-quarters of users abandon the app — and their potential purchase — entirely. That's not all: one-third of consumers will go to a competitor's retail site if they have an unstable shopping experience. With lost revenue as a possible consequence of a retailer's poor application quality, developers must prioritize functionality.

Testing Early and Often Should Be Retailers' Non-Negotiables

Consumers abandon an application for many reasons, like a disappearing shopping cart, slow load time, crashing pages, malfunctioning discount codes, and inconsistency across platforms. Many software testing experts say the best way to catch and fix bugs and issues is to test early and often. By following the "test early and often" mantra, teams can identify problems before they affect customers.

Knowing consumers want the best deals while simultaneously checking off their holiday shopping lists without leaving the house, retailers can expect to see an influx of traffic to their digital platforms. They cannot solely rely on the results of previously conducted tests that use their average traffic numbers. To guarantee a smooth shopping experience for consumers, teams must simulate Black Friday traffic patterns and load test their applications months in advance. This is one of the best ways retailers can prepare their applications for success and stand out among their competitors.

User-Friendly Experiences: The Final Non-Negotiable

Retailers must recognize the importance of providing a user-friendly shopping experience to their customers and ensure proper performance testing is in place to defend against app crashes, lost shopping carts, and other potential issues. When companies put time and effort into simulating real-world, peak-traffic shopping events on their applications, the benefits they reap are priceless. In fact, it could mean the difference between closing a sale or handing a customer off to a competitor.

Kapil Tandon is VP of Product Management at Perforce

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Non-Negotiables for Black Friday Online Shopping

Kapil Tandon
Perforce

Black Friday is a time when consumers can cash in on some of the biggest deals retailers offer all year long. But in this digital age, the historically one-day, in-person event in brick-and-mortar stores has extended to the palm of consumers' hands. Nearly two-thirds of consumers utilize a retailer's web and mobile app for holiday shopping, raising the stakes for competitors to provide the best online experience to retain customer loyalty. Perforce's 2023 Black Friday survey sheds light on consumers' expectations this time of year and how developers can properly prepare their applications for increased online traffic.


Source: Perforce

Efficient, Secure, and Crash-Free Are Consumers' Non-Negotiables

According to nearly half of surveyed consumers, the most frustrating online shopping experience is a slow load time, with more than half of respondents saying quick page and image load times are of the utmost importance. Shoppers tend to turn to online shopping as a quick and convenient way to buy what they need in one place, so if a page or image doesn't load promptly, it could result in a frustrated customer and a lost sale. As the line continues to blur between traditional Black Friday sales at brick-and-mortar sales and online deals running from Friday to Cyber Monday, customers are no longer willing to accept slow mobile and web experiences.

Additionally, it is critical that companies protect customers' most precious data, like credit card numbers and home addresses, and the survey results prove it: nearly two-thirds of consumers expect a secure transaction, up by 10% from last year's survey. If software testing teams don't ensure a safe checkout process, they risk losing customers' trust, which not only affects a company's bottom line, but their reputation as well.

Finally, customers expect an application or website to work seamlessly, but if it doesn't, nearly three-quarters of users abandon the app — and their potential purchase — entirely. That's not all: one-third of consumers will go to a competitor's retail site if they have an unstable shopping experience. With lost revenue as a possible consequence of a retailer's poor application quality, developers must prioritize functionality.

Testing Early and Often Should Be Retailers' Non-Negotiables

Consumers abandon an application for many reasons, like a disappearing shopping cart, slow load time, crashing pages, malfunctioning discount codes, and inconsistency across platforms. Many software testing experts say the best way to catch and fix bugs and issues is to test early and often. By following the "test early and often" mantra, teams can identify problems before they affect customers.

Knowing consumers want the best deals while simultaneously checking off their holiday shopping lists without leaving the house, retailers can expect to see an influx of traffic to their digital platforms. They cannot solely rely on the results of previously conducted tests that use their average traffic numbers. To guarantee a smooth shopping experience for consumers, teams must simulate Black Friday traffic patterns and load test their applications months in advance. This is one of the best ways retailers can prepare their applications for success and stand out among their competitors.

User-Friendly Experiences: The Final Non-Negotiable

Retailers must recognize the importance of providing a user-friendly shopping experience to their customers and ensure proper performance testing is in place to defend against app crashes, lost shopping carts, and other potential issues. When companies put time and effort into simulating real-world, peak-traffic shopping events on their applications, the benefits they reap are priceless. In fact, it could mean the difference between closing a sale or handing a customer off to a competitor.

Kapil Tandon is VP of Product Management at Perforce

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Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

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 ...