Clicky vs Google Analytics vs Maze

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Clicky

1.1K
92
+ 1
26
Google Analytics

125.9K
48.4K
+ 1
5K
Maze

40
60
+ 1
5
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Pros of Clicky
Pros of Google Analytics
Pros of Maze
  • 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
  • 3
    Makes validating protos easier
  • 2
    Easy export and setup

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Cons of Clicky
Cons of Google Analytics
Cons of Maze
    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 Maze?

      Maze empowers product and marketing teams to test anything from prototypes to copy, or round up user feedback—all in one place. Rapidly collect user insights across teams and create better user experiences, together.

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

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

      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 Maze?

      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
      6764
      GitHubPythonNode.js+47
      55
      72351
      GitHubGitSlack+30
      27
      18355
      JavaScriptGitHubGit+33
      20
      2086
      JavaScriptGitHubPython+42
      53
      21890
      What are some alternatives to Clicky, Google Analytics, and Maze?
      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.
      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
      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.
      See all alternatives