🆚 Prefetch vs. Preload

Type

Performance optimization technology
Performance optimization technology

About

The rel="prefetch" attribute on HTML <link> elements tells the browser to download resources that are likely to be needed for future navigation when the current page is idle.

It allows caching resources in advance with low priority and is commonly used for next-page documents, scripts, styles, or assets in multi-step flows.

The rel="preload" attribute on HTML <link> elements instructs web browsers to fetch important resources early before they are requested during page rendering.

It is commonly used to prioritize fonts, stylesheets, scripts, images, and other critical assets, helping reduce render delays and improve page loading performance.

Headquarters

Cambridge, Massachusetts, United States
Cambridge, Massachusetts, United States

Website

Categories

Performance Optimization › Rank #7
Performance Optimization › Rank #4
Standards › Rank #17
Standards › Rank #9

Popularity

Determined by the number of sites using each technology.

Preload performance optimization technology is 16 times more popular than Prefetch.
Total websites

Market share

Performance Optimization
Standards

Popularity by country

Determined by the number of sites detected from each country.

Preload is more popular in the United States, Germany, and the United Kingdom, while Prefetch is more popular in the Netherlands Antilles.
United States
Germany
United Kingdom
France
Netherlands
Spain
Australia
Japan
Italy
India

Awards

Popularity by domain category

Determined by the number of sites in each category.

Preload is more popular among sites focused on business, online shopping, and marketing and merchandising, while Prefetch is more commonly used on fashion and beauty sites.
Business
Online Shopping
Marketing/Merchandising
Blogs/Wiki
Internet Services
Education/Reference
Travel
Entertainment
Health
General News

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#199
View more ➝
Name
Rank
#12
View more ➝

See also

🗃️ About This Data