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What is Umami?

Take charge of your website's analytics with Umami, an open-source option that emphasizes user privacy in contrast to conventional tools like Google Analytics. This platform enables you to gather crucial data while consistently upholding the privacy of your users. Umami differentiates itself by not collecting any personal information, avoiding cookies, steering clear of cross-site tracking, and ensuring compliance with GDPR regulations. By adopting Umami, you can successfully navigate the intricate landscape of evolving data privacy laws. All data collected is anonymized, which means that individual users remain untraceable, providing you with reassurance regarding data security. The platform features a user-friendly and intuitive interface, which simplifies the reporting process and makes it accessible to everyone. With Umami, you can focus solely on the metrics that are significant to your needs, all of which are conveniently showcased on a single dashboard. This tool adheres to open-source principles, enhancing trust through its transparency and community backing. Furthermore, you can eliminate the need for intrusive cookie consent notices for your visitors, creating a smoother browsing experience. Embrace the advantages of analytics while firmly prioritizing user privacy, ensuring a balance that benefits both you and your audience. By choosing Umami, you not only enhance your data tracking capabilities but also contribute to a more ethical approach to online analytics.

What is StatJolt?

StatJolt emerges as a state-of-the-art web analytics tool that prioritizes user privacy, providing a seamless, cookie-free experience that is easy for anyone to understand. Targeted at website owners, developers, and independent entrepreneurs, this platform delivers trustworthy insights without the burdens of cookie consent requests or intricate dashboards. Notably, StatJolt is free to use until 2027, no matter the level of website traffic. Conventional analytics approaches often struggle with accurately capturing user engagement data due to various obstacles. Studies reveal that around 29.5% of users employ ad blockers according to GWI, and this figure rises to over 40% as reported by Statista, while privacy-centric filter lists frequently target analytics URLs. As a result, visitors who decline cookie consent are omitted from analytics reports, creating distorted data, particularly among privacy-aware and technically inclined users. StatJolt adeptly counters this challenge by removing the need for cookies altogether, meaning users are not deterred by consent banners and are effectively counted. By deploying a script that neither retains nor gathers personal information, StatJolt minimizes the chances of being blocked by privacy filter lists, thus providing a more complete and precise analytics solution. This forward-thinking strategy ultimately allows users to derive critical insights without sacrificing their privacy or struggling with complicated interfaces, making it a game-changer in the analytics landscape. Furthermore, by simplifying the data collection process, StatJolt enhances accessibility for a broader audience, ensuring that anyone can leverage data-driven insights.

Media

Media

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Integrations Supported

DataUnlocker
Docker
MySQL
Node.js
PostgreSQL
Railway
ShipAhead
Yarn

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

Umami Web Analytics

Company Location

United States

Company Website

umami.is/

Company Facts

Organization Name

StatJolt

Date Founded

2026

Company Location

Hungary

Company Website

statjolt.com

Categories and Features

Digital Analytics

Not specified

Web Analytics

Not specified

Categories and Features

Web Analytics

Not specified

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