🆚 GoatCounter vs. Koko Analytics

Type

Web analytics tool
Web analytics tool

About

GoatCounter is an open-source web analytics platform available as a free donation-supported hosted service or self-hosted application.

It provides cookieless analytics, supports event tracking and JavaScript-free tracking pixel option, and uses a lightweight script of about 3.5 KB.

Koko Analytics is a privacy-focused and lightweight analytics plugin for WordPress that provides self-hosted website statistics.

It tracks page views, referrers, and visitor activity using an optional cookieless measurement, supports cached pages, and uses a tracking script smaller than 1 KB.

Headquarters

Ireland
Nijmegen, Netherlands

Website

Pricing

Free ✔️ Open source
Free version ✔️ Open source
Pro €59/year

Categories

Analytics › Rank #96
Analytics › Rank #80
WordPress Plugins › Rank #130

Popularity

Determined by the number of sites using each technology.

The Koko Analytics tool is 1.7 times more popular than GoatCounter.
Total websites

Market share

Analytics

Popularity by country

Determined by the number of sites detected from each country.

Koko Analytics is more popular in Germany, the United States, and the United Kingdom, while GoatCounter is more popular in Australia, Ukraine, and India.
Germany
United States
United Kingdom
Netherlands
Spain
Canada
France
Italy
Switzerland
Austria

Awards

Popularity by domain category

Determined by the number of sites in each category.

Koko Analytics is more popular among sites focused on business, marketing and merchandising, and education and reference, while GoatCounter is more commonly used on Internet services, software and hardware, and technical, business forums sites.
Blogs/Wiki
Internet Services
Business
Marketing/Merchandising
Software/Hardware
Technical/Business Forums
Entertainment
Education/Reference
Travel
Technical Information

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#5,480
#28,261
#48,651
#48,658
#52,134
View more ➝
Name
Rank
#51,854
#51,938
View more ➝

See also

🗃️ About This Data