Total Blocking Time: 3 Tools & 7 Ways To Improve
The functionality of websites is a key factor in today’s digital environment. Total Blocking Time (TBT), which directly impacts a user’s surfing experience, is a crucial performance component.
Web developers and site owners must not only grasp the notion of Total Blocking Time but also have the skills and resources necessary to measure and enhance it and guarantee the best possible website performance. In this post, we’ll look at three useful tools for quantifying TBT and four practical methods for improving it.
Web professionals may create smooth user experiences and increase customer satisfaction. This will ultimately lead to improved business outcomes by understanding the relevance of Total Blocking Time and discovering how to mitigate it.
Table of Contents
- What is total blocking time?
- What is a good TBT score?
- Which is the best tool to measure TBT?
- How to reduce total blocking time?
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What is total blocking time?
Total Blocking Time (TBT) is a metric used to measure the responsiveness of a web page during its loading and rendering process. TBT also stands for the time a web page spends without responding to user input, which causes sluggish interactions and frustrating experiences.
TBT is especially significant because it directly affects the user experience. A web page with a high TBT may feel slow and unresponsive, causing frustration for visitors. Slow-loading pages can lead to increased bounce rates, decreased user engagement, and negative impacts on conversions and revenue.
To provide a smooth and enjoyable user experience, minimizing the Total Blocking Time of web pages is crucial. By identifying and addressing the factors contributing to high TBT, website owners and developers can optimize performance and ensure faster, more responsive user interactions.
What is a good TBT score?
As a general guideline, a TBT score below 50 ms is considered excellent, indicating the minimal blocking time and near-instantaneous responsiveness. However, it’s important to note that different sources and industry standards may have slightly different benchmarks for TBT scores.
For example, Google’s Core Web Vitals initiative, which focuses on user-centric performance metrics, suggests that a TBT score below 300 ms is considered good, while a score between 300 ms and 600 ms needs improvement. Scores above 600 ms are generally regarded as poor and require immediate attention.
A good Total Blocking Time (TBT) score is measured in milliseconds (ms). It depends on various factors, including the complexity of the web page, the device being used, and the user’s expectations.
It’s worth mentioning that TBT is just one performance metric among several others, such as First Contentful Paint (FCP) and Largest Contentful Paint (LCP), which provide a more comprehensive understanding of a web page’s loading and interactivity. Evaluating TBT in conjunction with these other metrics can help gauge a website’s overall performance and user experience more accurately.
Which is the best tool to measure TBT?
The choice of the “best” tool depends on your specific needs, preferences, and workflow. It is recommended to explore and experiment with all three following tools to determine which one aligns best with your requirements and provides the most valuable insights for measuring and improving TBT:
As a built-in feature of the Google Chrome browser, Chrome DevTools provides a comprehensive set of tools for web developers to analyze and optimize their websites. It includes performance profiling capabilities that can measure TBT and other performance metrics.
With its real-time monitoring and debugging features, Chrome DevTools allows you to identify and diagnose performance issues directly in the browser, making it a powerful and convenient tool for measuring TBT during development and testing.
Integrates with the Google Chrome browser, making it easily accessible.
Analyzes performance with real-time monitoring and troubleshooting features.
Provides a wide range of performance metrics, including TBT.
Allows you to analyze and optimize performance directly in the browser.
Requires technical expertise, primarily suited for development and testing purposes.
Restricts itself to investigating Chrome’s performance.
May not provide as comprehensive reports as standalone tools like Lighthouse or WebPageTest.
Lighthouse is an open-source tool developed by Google that can be used as a command-line tool or an extension in Chrome DevTools. It performs automated audits on web pages and generates detailed reports on various aspects, including performance metrics like TBT.
Lighthouse provides valuable insights into TBT scores, opportunities for improvement, and actionable recommendations for optimizing performance. It is handy for evaluating and benchmarking TBT against industry standards.
Offers a user-friendly, comprehensive report on performance metrics, including TBT.
Provides actionable recommendations for optimizing performance.
Utilizes as a command-line tool or as a Chrome DevTools extension.
Allows for benchmarking against industry standards and best practices.
Causes many different results between each version of Lighthouse.
Lacks real-time monitoring and debugging capabilities.
Restricts itself to evaluating performance within the Chrome browser.
WebPageTest is a popular online performance testing tool that allows you to analyze the performance of your web pages from multiple geographical locations and different browsers. It provides comprehensive test reports, including TBT measurements, and offers advanced testing options, simulating various network conditions and devices.
WebPageTest is beneficial for understanding how TBT impacts users in different regions and helps optimize performance for a broader audience.
Allows testing from multiple geographical locations and various browsers.
Offers advanced testing options like simulating network conditions and devices.
Provides detailed reports with TBT measurements and other performance metrics.
Enables performance comparison between different tests and configurations.
Enables a steeper learning curve compared to other tools.
Conducts tests on remote servers, which may introduce additional variables.
Requires an internet connection to access the WebPageTest website.
When choosing a tool, consider factors such as your level of technical expertise, the specific performance metrics you need to measure, the testing environment you prefer, and the depth of analysis required.
It’s often beneficial to utilize a combination of these tools to gain a more comprehensive understanding of TBT and optimize website performance effectively.
How to reduce total blocking time?
Reducing Total Blocking Time (TBT) involves optimizing your website’s performance. Here are several strategies you can employ to reduce TBT:
Reduce the influence of outside code
Reducing the effects of outside code is one efficient method for decreasing Total Blocking Time (TBT). Consider the requirements of the external dependencies and scripts used on your website. Getting rid of any extraneous scripts can aid in cutting down on blocking time.
For complicated integrations, look at server-side solutions or lightweight alternatives. Asynchronous or postponed loading of scripts can be used to lessen the effect of these scripts on TBT.
Reduce the work that the main thread is doing
Minimize the size of website assets
In addition to these techniques, reducing TBT significantly depends on the number of website materials. Reduce the size of your media files without sacrificing quality by optimizing and compressing them. Utilize strategies for lazy loading to load resources only when necessary, cutting down on initial load time and potential blocking.
Examine the requirement of third-party scripts and how they affect TBT to reduce their size. Consider eliminating or substituting hefty third-party scripts with server-side fixes or lighter substitutes. Reducing their quantity and size will lessen these scripts’ influence on TBT.
Cut down on the size of third-party scripts
Another efficient strategy is to make third-party scripts less in size. Analyze each third-party integration’s relevance and effect on TBT. Consider eliminating or substituting hefty third-party scripts with server-side fixes or lighter substitutes. The blocking time caused by the execution of these scripts can be decreased by lowering their quantity and size.
By implementing these tactics, you may effectively decrease Total Blocking Time, improve website performance, and satisfy users. Utilize tools like Chrome DevTools, Lighthouse, or WebPageTest frequently to test and monitor your website’s performance, track progress, and fine-tune your optimization strategies.
Remember, a lower TBT directly contributes to faster page load times, improved interactivity, and better user engagement. Prioritizing performance optimization benefits your website’s visitors and positively impacts search engine rankings, conversions, and overall user satisfaction.
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In conclusion, decreasing Total Blocking Time (TBT) is critical for improving website performance and offering a seamless user experience. You can significantly reduce TBT and enhance overall performance by practicing the techniques covered in this article, such as minimizing the main thread’s workload, minimizing the influence of external code, and optimizing website assets.
It is crucial to regularly monitor and test your website using tools like Chrome DevTools, Lighthouse, or WebPageTest to measure TBT and track the impact of your optimization efforts.
The significance of optimizing TBT cannot be emphasized as website complexity and user expectations rise. You may drastically minimize Total Blocking Time and give your users a faster, more responsive browsing experience by putting the tips in this article into practice while also being careful in monitoring and maintaining performance.
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