Want to know how much website downtime costs, and the impact it can have on your business?
Find out everything you need to know in our new uptime monitoring whitepaper 2021



You would think that the largest news sites would perform exceptionally well on mobile devices, but this is not true in most cases. According to a study conducted by mobile industry intelligence firm DeviceAtlas, the average time that it takes a major newspaper site to load is about 10.5 seconds, with the worst-performing sites taking from 19 to 22 seconds. This poor performance is very costly for the newspapers, as Google estimates that 53% of mobile device users only wait three seconds before abandoning a website that doesn’t load.
To conduct its performance test, DeviceAtlas used a Chrome plug-in to simulate a Nexus 5X smartphone, a mid-range device that was released two years ago, with a connectivity limit of 1.5 Mb/s. DeviceAtlas also used a proprietary tool that visualizes a website and measures website page weight over low-end, mid-end, and high-end mobile devices.
For its test, DeviceAtlas chose 50 daily newspaper websites from around the world from 18 countries, including Australia, Austria, Egypt, Finland, France, Germany, Holland, India, Italy, Japan, Norway, Russia, South Korea, Spain, Sweden, Turkey, the UK, and the US. DeviceAtlas chose the individual newspapers to include in the study based on their circulation figures.
The key results of the performance tests are as follows:
To keep things in perspective, a study by Google found that about 53% of visitors to websites will abandon them if it takes more than three seconds for them to load completely. Most of the newspaper websites tested exceeded that time, leading to increased bounce rates and fewer pages viewed on mobile devices. DeviceAtlas noted that most mobile users read news content on the go with less than an ideal connection speed, making the test standard of 1.5 Mb/s realistic.
DeviceAtlas found some interesting differences in load times between countries and regions. Indian newspaper websites had an average load time of 7.7 seconds, which was significantly better than for Spain (12.8 seconds), France (11.4 seconds), and the US (10.4 seconds). Every Indian newspaper website used some type of mobile URL redirection, which indicated that these sites had been optimized for mobile devices.
According to DeviceAtlas, the mobile market in India consists of mostly low-range and mid-range mobile phones. The top five mobile phones used in India included the Xiaomi Redmi Note 2, J7 Duo, and Samsung Galaxy J2, none of which are high-end phones. Also, according to the Telecom Regulatory Authority of India, about 44% of internet users in India only use mobile devices to connect.
The report also showed that mobile users incurred significant costs to access the largest and slowest newspaper websites. The highest cost was $0.69 (£0.54) for a user in Canada to access latribune.fr. The main point from this finding is that it will cost you more to access a newspaper website that has not been optimized for mobile use.
Share this
5 min read AI Has Made Building Monitoring Easy. It Hasn’t Made Owning It Any Easier. A few months ago, I spoke to an engineering manager who proudly told me they had rebuilt their monitoring stack over a long weekend. They’d used AI to scaffold synthetic checks. They’d generated alert logic with dynamic thresholds. They’d then wired everything
3 min read In the previous posts, we’ve looked at how alert noise emerges from design decisions, why notification lists fail to create accountability, and why alerts only work when they’re designed around a clear outcome. Taken together, these ideas point to a broader conclusion. That alerting is not just a technical system, it’s a socio-technical one. Alerting
3 min read In the first two posts of this series, we explored how alert noise emerges from design decisions, and why notification lists fail to create accountability when responsibility is unclear. There’s a deeper issue underneath both of those problems. Many alerting systems are designed without being clear about the outcome they’re meant to produce. When teams
3 min read In the previous post, we looked at how alert noise is rarely accidental. It’s usually the result of sensible decisions layered over time, until responsibility becomes diffuse and response slows. One of the most persistent assumptions behind this pattern is simple. If enough people are notified, someone will take responsibility. After more than fourteen years
3 min read In a previous post, The Incident Checklist: Reducing Cognitive Load When It Matters Most, we explored how incidents stop being purely technical problems and become human ones. These are moments where decision-making under pressure and cognitive load matter more than perfect root cause analysis. When systems don’t support people clearly in those moments, teams compensate.
4 min read In the previous post, we looked at what happens after detection; when incidents stop being purely technical problems and become human ones, with cognitive load as the real constraint. This post assumes that context. The question here is simpler and more practical. What actually helps teams think clearly and act well once things are already
Find out everything you need to know in our new uptime monitoring whitepaper 2021