Cumulative Layout Shift (CLS) quantifies visual stability during page load, impacting user experience and engagement.
High CLS values can lead to increased bounce rates and lower conversion rates, ultimately affecting revenue.
A well-optimized CLS fosters a smoother browsing experience, enhancing customer satisfaction and retention.
Companies that prioritize this metric often see improved operational efficiency and better alignment with user expectations.
By minimizing layout shifts, businesses can create a more reliable digital environment, which is crucial for maintaining competitive positioning.
Tracking CLS as a leading indicator can also inform strategic alignment in web development initiatives.
High CLS values indicate poor visual stability, which can frustrate users and lead to abandonment. Low values suggest a seamless experience, enhancing user trust and engagement. Ideal targets for CLS are below 0.1 for optimal performance.
We have 4 relevant benchmarks in our benchmarks database.
Source: Subscribers only
Source Excerpt: Subscribers only
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | threshold | page loads | web (all sites) | global |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | p90 | week in September 2020 | page loads | web (mPulse-monitored sites: retail, financial, other sector | North America and Europe skew | hundreds of millions of page load experiences |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | p75 | week in September 2020 | page loads | web (mPulse-monitored sites: retail, financial, other sector | North America and Europe skew | hundreds of millions of page load experiences |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | median | week in September 2020 | page loads | web (mPulse-monitored sites: retail, financial, other sector | North America and Europe skew | hundreds of millions of page load experiences |
Many organizations overlook the impact of layout shifts on user experience, leading to higher bounce rates and lost revenue opportunities.
Improving CLS requires a focused approach to web design and development practices.
A leading e-commerce platform faced challenges with high CLS, resulting in decreased user engagement and increased cart abandonment. With CLS values averaging 0.35, the company recognized the need for immediate action to enhance user experience and drive sales. They initiated a project called "Stability First," focusing on optimizing their website's loading performance and visual stability.
The team began by analyzing user behavior data to identify the most problematic areas causing layout shifts. They prioritized optimizing images and videos, ensuring all media had defined dimensions. Additionally, they implemented a content delivery network (CDN) to speed up asset loading times, reducing the likelihood of shifts during page rendering.
Within 6 months, the e-commerce platform reduced its CLS to 0.08, significantly improving user experience. The changes led to a 20% increase in conversion rates and a notable decrease in bounce rates. Customers reported higher satisfaction levels, and the company saw a positive impact on overall revenue. The "Stability First" initiative not only improved CLS but also reinforced the importance of user-centric design in their digital strategy.
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CLS measures the visual stability of a webpage by quantifying unexpected layout shifts during loading. A lower CLS indicates a more stable and user-friendly experience.
High CLS can frustrate users, leading to increased bounce rates and lower engagement. A stable layout enhances trust and encourages users to interact with the content.
CLS can be measured using tools like Google Lighthouse or the Web Vitals extension. These tools provide insights into layout shifts and suggest areas for improvement.
An ideal CLS value is below 0.1 for optimal user experience. Values above 0.25 indicate significant issues that need to be addressed.
Google considers user experience signals, including CLS, as ranking factors. A lower CLS can positively impact search engine rankings and visibility.
Yes, third-party scripts can introduce variability in loading times, causing layout shifts. It's essential to manage these scripts carefully to minimize their impact on CLS.
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