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Most Travel Websites Not Optimized for Mobile Customers

Kent Alstad

Although half of all online travel bookings in the US are expected to occur via mobile device in 2016, 76% of the industry’s top 100 sites are slow to load, paralyzed by third-party scripts and trackers, and image-heavy, according to Radware's study titled 2015 State of the Union: Mobile Performance of the Top Travel Industry Sites: Do Your Customers Want To Take A Vacation From Your Slow Site?

In fact, the average page took 6.7 seconds to load on the iPhone 6, slower than the 4 second ideal time tolerated by shoppers.

These slow load times create an increase in consumer frustration and, ultimately site abandonment. A recent study of mobile travel site abandonment showed 36% of respondents cited slow loading times as their chief cause for site abandonment.

Today, consumers predominantly use mobile devices to book travel. By the end of 2015, mobile-booked travel is expected to reach $52.08 billion. With this level of exponential growth, travel websites have a lot to gain by preparing for the volume of mobile traffic they’ll be seeing in 2016.

Consumer habits are changing. Mobile devices are always within arm’s reach, so it comes as no surprise that consumers are reaching for them as they research and book travel. When planning for the New Year, travel companies must consider whether or not their websites are optimized for mobile, including the length of time it takes for a page to load and not just if it is mobile-responsive. If consumer habits shift and your site isn’t in shape, you’ll be booking them a one-way ticket to your competitor’s door.

Slow performance has a significant negative effect on business metrics, from shopping cart abandonment to brand perception. Radware tested the performance of 100 leading global travel sites with leading devices such as the Apple iPhone 6 and Samsung Galaxy S6 to obtain data around their performance against consumer expectations and projected industry growth for 2016.

The Radware report finds that there are a number of factors contributing to poor performance that can be fairly easily remedied:

■ Overloaded with Requests – Many of the sites have more than 62 requests on their home page for images, scripts and CSS files. Each request incurs latency and streamlining the page requests could improve performance.

■ Image Heavyweights – Mobile devices don’t have the processing power of laptops or desktops yet many sites are trying to replicate the full site experience while inadvertently compromising the user experience. Images often make up approximately a quarter of the weight of a page on average and are often improperly formatted causing high resolutions to waste bandwidth, processing and cache space.

■ Responsive Web Designs (RWD) Typically Optimize Viewing but Not Performance – Although RWD crafts an optimal viewing experience across a wide-range of devices and screens, it creates a complexity that can seriously slow down performance. It is possible to build a responsive site that is both fast and responsive but it requires knowledge of both design and front-end performance optimization.

■ Less Than A Quarter of Travel Sites Are Ready for 2016: Only 24% of the 100 mobile travel sites tested loaded in the ideal time of 4 seconds or less across devices.

■ More Screens, One Speed: 85% of mobile users expect pages to load as fast as or faster than they load on the desktop.

■ Every Asset Counts: 25% of a page’s weight came from images on average, and the average mobile travel site came in at over a megabyte, past the threshold for mobile’s fastest pages.

■ Your Brand Is Tested on Mobile: 65% of customers say their opinion of a brand was affected by their online experience, and 33% of users will go to a competitor’s site after a negative mobile experience.


Study Methodology: Radware conducted this study within the United States in November 2015. Real-world performance of the top 100 global mobile travel industry websites, as ranked by SimilarWeb Ltd., was tested. Tested sites were accessed using actual mobile devices connected to the AT&T 4G/LTE data network.

Kent Alstad is VP of Acceleration at Radware.

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Most Travel Websites Not Optimized for Mobile Customers

Kent Alstad

Although half of all online travel bookings in the US are expected to occur via mobile device in 2016, 76% of the industry’s top 100 sites are slow to load, paralyzed by third-party scripts and trackers, and image-heavy, according to Radware's study titled 2015 State of the Union: Mobile Performance of the Top Travel Industry Sites: Do Your Customers Want To Take A Vacation From Your Slow Site?

In fact, the average page took 6.7 seconds to load on the iPhone 6, slower than the 4 second ideal time tolerated by shoppers.

These slow load times create an increase in consumer frustration and, ultimately site abandonment. A recent study of mobile travel site abandonment showed 36% of respondents cited slow loading times as their chief cause for site abandonment.

Today, consumers predominantly use mobile devices to book travel. By the end of 2015, mobile-booked travel is expected to reach $52.08 billion. With this level of exponential growth, travel websites have a lot to gain by preparing for the volume of mobile traffic they’ll be seeing in 2016.

Consumer habits are changing. Mobile devices are always within arm’s reach, so it comes as no surprise that consumers are reaching for them as they research and book travel. When planning for the New Year, travel companies must consider whether or not their websites are optimized for mobile, including the length of time it takes for a page to load and not just if it is mobile-responsive. If consumer habits shift and your site isn’t in shape, you’ll be booking them a one-way ticket to your competitor’s door.

Slow performance has a significant negative effect on business metrics, from shopping cart abandonment to brand perception. Radware tested the performance of 100 leading global travel sites with leading devices such as the Apple iPhone 6 and Samsung Galaxy S6 to obtain data around their performance against consumer expectations and projected industry growth for 2016.

The Radware report finds that there are a number of factors contributing to poor performance that can be fairly easily remedied:

■ Overloaded with Requests – Many of the sites have more than 62 requests on their home page for images, scripts and CSS files. Each request incurs latency and streamlining the page requests could improve performance.

■ Image Heavyweights – Mobile devices don’t have the processing power of laptops or desktops yet many sites are trying to replicate the full site experience while inadvertently compromising the user experience. Images often make up approximately a quarter of the weight of a page on average and are often improperly formatted causing high resolutions to waste bandwidth, processing and cache space.

■ Responsive Web Designs (RWD) Typically Optimize Viewing but Not Performance – Although RWD crafts an optimal viewing experience across a wide-range of devices and screens, it creates a complexity that can seriously slow down performance. It is possible to build a responsive site that is both fast and responsive but it requires knowledge of both design and front-end performance optimization.

■ Less Than A Quarter of Travel Sites Are Ready for 2016: Only 24% of the 100 mobile travel sites tested loaded in the ideal time of 4 seconds or less across devices.

■ More Screens, One Speed: 85% of mobile users expect pages to load as fast as or faster than they load on the desktop.

■ Every Asset Counts: 25% of a page’s weight came from images on average, and the average mobile travel site came in at over a megabyte, past the threshold for mobile’s fastest pages.

■ Your Brand Is Tested on Mobile: 65% of customers say their opinion of a brand was affected by their online experience, and 33% of users will go to a competitor’s site after a negative mobile experience.


Study Methodology: Radware conducted this study within the United States in November 2015. Real-world performance of the top 100 global mobile travel industry websites, as ranked by SimilarWeb Ltd., was tested. Tested sites were accessed using actual mobile devices connected to the AT&T 4G/LTE data network.

Kent Alstad is VP of Acceleration at Radware.

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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 ...

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.

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