Clicky vs Google Analytics vs Matomo

Need advice about which tool to choose?Ask the StackShare community!

Clicky

1.1K
92
+ 1
26
Google Analytics

125.8K
48.3K
+ 1
5K
Matomo

1.9K
168
+ 1
6
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Pros of Clicky
Pros of Google Analytics
Pros of Matomo
  • 10
    Easy setup
  • 6
    Tons of detail
  • 5
    Cheap
  • 5
    Many features
  • 1.5K
    Free
  • 926
    Easy setup
  • 890
    Data visualization
  • 698
    Real-time stats
  • 405
    Comprehensive feature set
  • 181
    Goals tracking
  • 154
    Powerful funnel conversion reporting
  • 138
    Customizable reports
  • 83
    Custom events try
  • 53
    Elastic api
  • 14
    Updated regulary
  • 8
    Interactive Documentation
  • 3
    Google play
  • 2
    Industry Standard
  • 2
    Walkman music video playlist
  • 2
    Advanced ecommerce
  • 1
    Medium / Channel data split
  • 1
    Easy to integrate
  • 1
    Financial Management Challenges -2015h
  • 1
    Lifesaver
  • 1
    Irina
  • 1
    Updated regulary
  • 1
    Goals tracking
  • 1
    Self-hosted
  • 1
    Open Source
  • 1
    Full data control
  • 1
    Free

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Cons of Clicky
Cons of Google Analytics
Cons of Matomo
    Be the first to leave a con
    • 11
      Confusing UX/UI
    • 8
      Super complex
    • 6
      Very hard to build out funnels
    • 4
      Poor web performance metrics
    • 3
      Very easy to confuse the user of the analytics
    • 2
      Time spent on page isn't accurate out of the box
      Be the first to leave a con

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      What is 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.

      What is Google Analytics?

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

      What is 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.

      Need advice about which tool to choose?Ask the StackShare community!

      Jobs that mention Clicky, Google Analytics, and Matomo as a desired skillset
      What companies use Clicky?
      What companies use Google Analytics?
      What companies use Matomo?

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Clicky?
      What tools integrate with Google Analytics?
      What tools integrate with Matomo?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      Blog Posts

      Jul 2 2019 at 9:34PM

      Segment

      Google AnalyticsAmazon S3New Relic+25
      10
      6749
      GitHubPythonNode.js+47
      54
      72306
      GitHubGitSlack+30
      27
      18320
      JavaScriptGitHubGit+33
      20
      2084
      JavaScriptGitHubPython+42
      53
      21847
      What are some alternatives to Clicky, Google Analytics, and Matomo?
      KISSmetrics
      Optimize Your Business and Get More Customers. Identify, understand, and improve the metrics that drive your online business.
      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.
      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.
      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.
      PowerBI
      It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
      See all alternatives