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Counter
ByIraeIrae

Counter

#28in Analytics
Discussions0
Followers121
OverviewDiscussionsAdoption

What is Counter?

It is an open-source web analytics tool that is made simple and privacy-friendly. It collects only aggregated data. This requires cheaper database queries and considerably less data is saved to the database.

Counter is a tool in the Analytics category of a tech stack.

Key Features

Counts daily unique visitorsKnow your referrersFree and privacy friendly analytics service for everyone

Counter Pros & Cons

Pros of Counter

No pros listed yet.

Cons of Counter

No cons listed yet.

Counter Alternatives & Comparisons

What are some alternatives to Counter?

Google Analytics

Google Analytics

Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.

Mixpanel

Mixpanel

Mixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience.

Matomo

Matomo

It is a web analytics platform designed to give you the conclusive insights with our complete range of features. You can also evaluate the full user-experience of your visitor’s behaviour with its Conversion Optimization features, including Heatmaps, Sessions Recordings, Funnels, Goals, Form Analytics and A/B Testing.

Piwik

Piwik

Matomo (formerly Piwik) is a full-featured PHP MySQL software program that you download and install on your own webserver. At the end of the five-minute installation process, you will be given a JavaScript code.

Clicky

Clicky

Clicky Web Analytics gives bloggers and smaller web sites a more personal understanding of their visitors. Clicky has various features that helps stand it apart from the competition specifically Spy and RSS feeds that allow web site owners to get live information about their visitors.

Databricks

Databricks

Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.

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Adoption

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