Unlock Speedtest Insight for Better Connectivity

Speedtest Insight is a powerful tool that can help you understand your internet connection like never before. By analyzing your speed test results, you can identify potential issues and optimize your connection for better performance.

A single speed test can take anywhere from 30 seconds to 2 minutes to complete, depending on your internet speed. This may seem like a short time, but it can reveal a wealth of information about your connection.

With Speedtest Insight, you can see how your internet speed varies throughout the day, helping you pinpoint when and where issues occur. This can be especially useful if you're experiencing slow speeds during peak hours.

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Speedtest Insight is a powerful tool that provides valuable insights into connectivity trends. It leverages an easy-to-use mapping interface to quickly understand connectivity at a high level or pinpoint precise areas of need.

You can analyze real-world network performance data drawn from millions of consumer-initiated tests taken every day with Speedtest. This data can help you identify areas where network performance is lacking.

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Speedtest Insight also provides Quality of Experience (QoE) data, which is drawn from billions of daily samples for common use cases like web browsing, video streaming, gaming, and more. This data can give you a better understanding of how users are experiencing your network.

Here are some key features of Speedtest Insight:

Speedtest Insights lets you visualize connectivity on an intuitive map with user-friendly data names and a simple rating system, eliminating the need for GIS skills.

You can view and compare network performance, mobile signal, and cell location data on a map-based platform, making it easy to understand connectivity at a high level or pinpoint precise areas of need.

Speedtest Insights helps you identify unserved and underserved areas, which can be crucial for grant proposals, winning funding, and prioritizing investment opportunities.

With Speedtest Insights, you can:

This tool is designed for governments, regulators, infrastructure companies, and enterprises that need to make informed decisions about connectivity without requiring GIS skills.

You can add administrative boundaries or other geographic areas to your map views, such as counties, states/provinces, nations, and U.S. census tracts, to get a better understanding of connectivity trends in the areas that matter most to you.

Monitoring your page speed and web vitals is crucial for ensuring a smooth user experience. You can use tools like PageSpeed Insights to get diagnostic data and make your website faster.

To pass Google's Core Web Vitals assessment, you need to meet certain thresholds for the three metrics: Largest Contentful Paint (LCP), Cumulative Layout Shift (CLS), and Interaction to Next Paint (INP). The maximum thresholds are: an LCP score below 2.5 seconds, a CLS score below 0.1, and an INP score below 200 milliseconds.

Google looks at the 75th percentile of page visits, which means even if your website has an LCP score of 2.5 seconds, 25% of visitors will still be waiting longer than that for the page to render. This can be challenging, especially for websites with complex layouts or many scripts.

You can access page speed data through the PageSpeed Insights API, which provides reports in JSON format. This allows you to collect data programmatically and automate your optimization process.

To continuously monitor your page speed and web vitals, use a tool like DebugBear, which combines Google CrUX data, lab-based testing, and real-user monitoring (RUM) in one place. This gives you detailed insights into how different visitor segments experience page speed across your website.

Here are the three metrics used to assess page speed and web vitals:

By monitoring these metrics and adjusting your website accordingly, you can improve the user experience and increase your chances of passing the Core Web Vitals assessment.

Field data and lab data can sometimes contradict each other due to fundamental differences in how they're collected.

Field data represents anonymized performance data from real-world users on various devices and network conditions.

Lab data is based on a simulated load of a page on a single device and fixed set of network conditions. This results in differing values between the two types of data.

The values may differ because field data accounts for a wide range of variables, including user behavior and network fluctuations.

For more information on why lab and field data can be different, and what to do about it, check out the provided resource.

Speedtest Insights helps you measure real-world network performance and coverage. This is done by analyzing crowdsourced data from millions of consumer-initiated tests taken daily with Speedtest.

You can view metrics like Download Speed, Upload Speed, and Latency to get a better understanding of network performance. Signal Strength and Signal Quality can also be analyzed with signal data drawn from billions of daily network samples.

Real-world consumer-initiated data often differs from coverage data reported by carriers, providing a more accurate look into how consumers are experiencing networks. This can be useful for informed grant proposals and connectivity investment strategies.

To get a detailed view of mobile coverage, you can layer 4G Signal Strength with 4G Cell Locations on a map. This can be done for specific geographic areas, such as counties, states/provinces, or nations.

Viewing Fixed Download Speed layered with U.S. Census Tracts can help identify census tracts that need prioritization for broadband improvements. This can be done to monitor connectivity over time and ensure compliance with regulatory standards.

Speedtest Insights offers a wide range of customizable views and features to help solve connectivity challenges. With a user-friendly interface, you can make smarter, faster connectivity decisions.

Here are some of the metrics you can view in Speedtest Insights:

Speedtest Insights offers a range of performance metrics to help you understand your network's performance. These metrics include Download Speed, Upload Speed, and Latency.

You can analyze Signal Strength and Signal Quality using signal data from billions of daily network samples. This data is drawn from crowdsourced tests taken by users around the world.

The Performance category in Speedtest Insights includes metrics such as First Contentful Paint, Largest Contentful Paint, Speed Index, Cumulative Layout Shift, Time to Interactive, and Total Blocking Time. Each metric is scored and labeled with a icon indicating whether it's Good, Needs Improvement, or Poor.

Here are the metrics with their corresponding icons:

Speedtest Insights also allows you to view 4G Signal Strength layered with 4G Cell Locations in the image below for a detailed view of mobile coverage in a specific area. This can help you identify areas where connectivity is poor.

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Google PageSpeed Insights is a tool built to ensure your web pages are not just participants in the digital world, but performers who outshine and outperform.

The tool goes beyond tweaking pixels to deliver a masterclass in website performance optimization.

It's based on two data sources: the Chrome User Experience Report (CrUX), which provides real user measurements from your website covering the last 28 days, and a Lighthouse report that's run on-demand in a controlled lab environment, providing detailed diagnostics.

The Chrome User Experience Report (CrUX) provides real user measurements from your website covering the last 28 days.

A Lighthouse report provides detailed diagnostics when run on-demand in a controlled lab environment.

Here are the two data sources used by Google PageSpeed Insights:

Reducing initial server response time is a common reason for slow-loading websites, and it's essential to make the rest of the page start loading quickly.

Slow server responses can't be avoided, but you can optimize them to improve page speed.

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The Lighthouse report on PageSpeed Insights provides a number of specific performance recommendations to make your website faster, along with an estimate of potential savings.

Continuous page speed monitoring and optimization is crucial to see if your optimizations are working and detect any issues when they come up.

You can use tools like DebugBear, which combines three types of data in one tool: Google CrUX data, lab-based testing, and real user monitoring (RUM).

Real-user monitoring can give you detailed insights into how different visitor segments experience page speed across your website.

Here are some common performance recommendations from PageSpeed Insights:

Render-blocking resources are CSS stylesheets and JavaScript code files that need to be downloaded before the browser can display any page content.

You can expand this audit to see a list of render-blocking resources that delay rendering.

A good way to view the impact of render-blocking requests is to view the request waterfall on DebugBear.

Continuous page speed monitoring is essential to track progress and identify issues. Monitoring your page speed data over time lets you see if your optimizations are working and detect any issues when they come up.

DebugBear is a page speed monitoring tool that combines three types of data in one tool: Google CrUX data, lab-based testing, and real user monitoring (RUM). Real-user monitoring can give you detailed insights into how different visitor segments experience page speed across your website.

To increase your page speed score, you can use diagnostic data from tools like PageSpeed Insights. The Lighthouse report on PageSpeed Insights provides specific performance recommendations to make your website faster, along with an estimate of potential savings.

Here are 5 common performance recommendations from PageSpeed Insights:

Real-user experience data is powered by the Chrome User Experience Report (CrUX) dataset, which provides insights into user experiences over the previous 28-day collection period.

PSI reports real users' First Contentful Paint (FCP), Interaction to Next Paint (INP), Largest Contentful Paint (LCP), and Cumulative Layout Shift (CLS) experiences.

A page might not have sufficient data if it has been recently published or has too few samples from real users, causing PSI to fall back to origin-level granularity.

PSI classifies the quality of user experiences into three buckets: Good, Needs Improvement, or Poor.

Here are the thresholds for each metric:

The Core Web Vitals metrics are INP, LCP, and CLS, and they may be aggregated at either the page or origin level.

The Lighthouse report and CrUX report are two types of reports that give you insights into your website's performance. The Lighthouse report is based on lab tests where Google simulates a user visiting your website, measuring loading time and analyzing your page for potential improvements.

The report gives you an overall Performance score between 0 and 100, made up of 3 components and 5 metrics. The three components are page load time, Total Blocking Time, and Cumulative Layout Shift, each contributing 45%, 30%, and 25% to the overall score respectively.

The CrUX report, on the other hand, is based on real user data and measures the three Core Web Vitals metrics: Largest Contentful Paint, Cumulative Layout Shift, and Interaction to Next Paint. These metrics are used to make an overall Core Web Vitals assessment for your website.

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The Lighthouse report is a valuable tool for evaluating your website's performance. It's not based on real user data, but rather Google's own tests using Chrome to measure loading time and identify potential improvements.

Google's Lighthouse report gives you an overall Performance score between 0 and 100. This score is made up of three components and five metrics.

Here's a breakdown of the components and their percentages:

The Largest Contentful Paint metric contributes the most to the page load time score.

The CrUX report is a crucial part of the PageSpeed Insights report, providing valuable information on the real-user experience of your website. It measures three key metrics: Largest Contentful Paint, Cumulative Layout Shift, and Interaction to Next Paint.

These metrics give you a comprehensive view of how quickly your website loads, whether page elements move around after rendering, and how fast it responds to user interactions. The CrUX report is powered by the Chrome User Experience Report (CrUX) dataset, which collects real-user experience data over a 28-day period.

The CrUX report includes metrics such as First Contentful Paint, Interaction to Next Paint, Largest Contentful Paint, and Cumulative Layout Shift. Time to First Byte is also reported, but it's an experimental metric.

A page may not have sufficient data in the CrUX report if it has been recently published or has too few samples from real users. In such cases, PageSpeed Insights will fall back to origin-level granularity, showing user experiences on all pages of the website.

To show user experience data for a given page, there must be sufficient data in the CrUX dataset. If not, PageSpeed Insights will be unable to show any real-user experience data. This means your website must be public, crawlable, and indexable, and have a sufficient number of distinct samples.

Here are the three key metrics measured by the CrUX report:

You can access page speed data through the PageSpeed Insights API, which provides continuous page speed monitoring and optimization. This is especially useful for developers who want to track changes in their website's performance over time.

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The API allows you to access page speed data, but it's also important to regularly test your website's performance using PageSpeed Insights. This will give you a clear picture of your website's strengths and weaknesses.

To get the most out of PageSpeed Insights, make sure to check the test settings, as incorrect settings can lead to inaccurate results. You can find information on how to check test settings in the PageSpeed Insights documentation.

Here are some additional metrics reported by PageSpeed Insights:

By monitoring page speed and core web vitals, you can identify areas for improvement and make data-driven decisions to optimize your website's performance.