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3 Surprising Ways Web Performance Impacts Your Business

Sharon Bell

In today's omni-channel customer-centric landscape, a customer has options when it comes to interacting with a company or brand. They might see a brand's ad on TV, check out the Twitter feed on a phone, or conduct a Google search for a specific product. Eventually, the goal is to get them to the website, make a purchase and become a loyal customer.

One of the keys to nurturing potential customers is providing a consistent brand experience across interactions – and this involves more than just providing engaging content and stellar customer service. Similar to a brick and mortar storefront, a business's website has to represent a company well. An easy to navigate, well-designed homepage is a start, but it's the backend of a website (site speed, reliability, security, responsiveness) that can leave a big impression on visitors.

We've all heard the statistics about the impact of page loading time – how the majority of visitors will leave your site if it does not load within a few seconds. But the poor performance of your website can have even greater – and potentially surprising – impacts on your business. Let's take a look:

1. Search Rankings

Search engines favor a fast website. In 2010, Google made it clear to webmasters everywhere that website speed was essential when it announced it would now be one of about 200 ranking factors in its search algorithm. Since then, Google has encouraged developers to monitor and analyze site speed using a suite of Google tools – PageSpeed.

An increased emphasis could be coming down the pike as well – earlier in 2015, a user spotted a Google results page displaying with a red “Slow” label, flagging a page with a less than ideal site experience.

User experience aside, Google has gone so far as to say they won't crawl your site as frequently or as many pages if load time is over two seconds, which over time could have a trickle-down effect on search rankings.

2. Conversions and Loyalty

A sluggish site may seem like a minor frustration, but in many cases it translates into a missed opportunity and real dollars lost. An Aberdeen study quantified the impact of a one-second delay in response times on key performance indicators and found a 16 percent reduction on customer satisfaction, 11 percent decrease in page views and a 7 percent lower conversion rate.

With mobile users skyrocketing globally, it's essential for websites to have both high performance desktop and mobile sites/mobile apps. A July 2015 study found 67 percent of customers would be put off shopping with a retailer if they had a negative experience with its app. This highlights the necessity to provide a consistent and fast user experience across channels.

3. Perceptions of Security

A Ponemon Institute study recently found security is among the top 3 reasons to distrust an online experience. Three out of four consumers said they distrust an overly simple identity and authentication procedures.

Moreover, the study found a direct correlation between site speed and a customer's perception of a secure transaction:

■ 67 percent of consumers lose trust when pages load too slowly.

■ 78 percent worry about security when site performance is sluggish.

■ 40 percent worry the most during checkout if they think the process is taking too long.

It's clear the average user equates performance with better security. With many users wary of online shopping because of the sheer number of data breaches in the past few years, it's essential for websites to assuage those fears and provide a fast, streamlined web experience from arrival on site through checkout.

Final Thoughts

To achieve the ultimate objective of a flawless user experience across all mediums take constant effort. From monitoring, investigating any red flags, analyzing data and putting fixes/improvements in place, it's a continual process. But, it is a process worthy of attention and reward.

Businesses should realize that web performance is the cornerstone of a positive user experience and – in the minds of consumers – is intricately connected to other important areas users look for as they interact with a business.

Sharon Bell is Director of Marketing at CDNetworks.

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

3 Surprising Ways Web Performance Impacts Your Business

Sharon Bell

In today's omni-channel customer-centric landscape, a customer has options when it comes to interacting with a company or brand. They might see a brand's ad on TV, check out the Twitter feed on a phone, or conduct a Google search for a specific product. Eventually, the goal is to get them to the website, make a purchase and become a loyal customer.

One of the keys to nurturing potential customers is providing a consistent brand experience across interactions – and this involves more than just providing engaging content and stellar customer service. Similar to a brick and mortar storefront, a business's website has to represent a company well. An easy to navigate, well-designed homepage is a start, but it's the backend of a website (site speed, reliability, security, responsiveness) that can leave a big impression on visitors.

We've all heard the statistics about the impact of page loading time – how the majority of visitors will leave your site if it does not load within a few seconds. But the poor performance of your website can have even greater – and potentially surprising – impacts on your business. Let's take a look:

1. Search Rankings

Search engines favor a fast website. In 2010, Google made it clear to webmasters everywhere that website speed was essential when it announced it would now be one of about 200 ranking factors in its search algorithm. Since then, Google has encouraged developers to monitor and analyze site speed using a suite of Google tools – PageSpeed.

An increased emphasis could be coming down the pike as well – earlier in 2015, a user spotted a Google results page displaying with a red “Slow” label, flagging a page with a less than ideal site experience.

User experience aside, Google has gone so far as to say they won't crawl your site as frequently or as many pages if load time is over two seconds, which over time could have a trickle-down effect on search rankings.

2. Conversions and Loyalty

A sluggish site may seem like a minor frustration, but in many cases it translates into a missed opportunity and real dollars lost. An Aberdeen study quantified the impact of a one-second delay in response times on key performance indicators and found a 16 percent reduction on customer satisfaction, 11 percent decrease in page views and a 7 percent lower conversion rate.

With mobile users skyrocketing globally, it's essential for websites to have both high performance desktop and mobile sites/mobile apps. A July 2015 study found 67 percent of customers would be put off shopping with a retailer if they had a negative experience with its app. This highlights the necessity to provide a consistent and fast user experience across channels.

3. Perceptions of Security

A Ponemon Institute study recently found security is among the top 3 reasons to distrust an online experience. Three out of four consumers said they distrust an overly simple identity and authentication procedures.

Moreover, the study found a direct correlation between site speed and a customer's perception of a secure transaction:

■ 67 percent of consumers lose trust when pages load too slowly.

■ 78 percent worry about security when site performance is sluggish.

■ 40 percent worry the most during checkout if they think the process is taking too long.

It's clear the average user equates performance with better security. With many users wary of online shopping because of the sheer number of data breaches in the past few years, it's essential for websites to assuage those fears and provide a fast, streamlined web experience from arrival on site through checkout.

Final Thoughts

To achieve the ultimate objective of a flawless user experience across all mediums take constant effort. From monitoring, investigating any red flags, analyzing data and putting fixes/improvements in place, it's a continual process. But, it is a process worthy of attention and reward.

Businesses should realize that web performance is the cornerstone of a positive user experience and – in the minds of consumers – is intricately connected to other important areas users look for as they interact with a business.

Sharon Bell is Director of Marketing at CDNetworks.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.