🆚 Koko Analytics vs. Pirsch Analytics

Type

Web analytics tool
Web analytics tool

About

Koko Analytics is a privacy-friendly, simple and lightweight analytics plugin for WordPress.

Pirsch Analytics is a privacy-focused web analytics solution that provides cookie-free tracking and full compliance with GDPR, CCPA, and PECR privacy regulations.

It features real-time dashboard metrics for page views and referrers, customizable event tracking, funnel and goal analysis, tag-based segmentation, REST APIs and webhooks, team management with sharable dashboards, and German hosting with strict privacy-by-design data handling.

Headquarters

Nijmegen, Netherlands
Rheda-Wiedenbrück, Germany

Website

Pricing

Free version ✔️Open source
Pro€79/year
Free version ✔️Open source
Standard$6/month
Plus$12/month
EnterpriseCustom

Categories

Analytics › Rank #64
Analytics › Rank #100
WordPress Plugins › Rank #104

Popularity

Determined by the number of sites using each technology.

The Koko Analytics tool is 4 times more popular than Pirsch Analytics.
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 Canada, while Pirsch Analytics is more popular in Belgium, India, and Egypt.
Germany
United States
Canada
United Kingdom
Netherlands
Spain
Belgium
France
Italy
Switzerland

Awards

Popularity by domain category

Determined by the number of sites in each category.

Koko Analytics is more popular among sites focused on blogs and wiki, business, and marketing and merchandising, while Pirsch Analytics is more commonly used on public information, finance and banking, and religion and ideology sites.
Blogs/Wiki
Business
Marketing/Merchandising
Education/Reference
Internet Services
Public Information
Entertainment
Travel
Art/Culture/Heritage
Software/Hardware

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#51,854
#51,938
View more ➝
Name
Rank
#8,382
#51,857
#61,743
View more ➝

See also

🗃️ About This Data