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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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Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ...