Google Analytics vs Maze

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Google Analytics vs Maze: What are the differences?


This Markdown code provides a comparison between Google Analytics and Maze, highlighting the key differences between the two platforms.

  1. Data Collection and Analysis: Google Analytics is primarily a web analytics tool that collects data from websites and mobile apps, providing insights into user behavior and website performance. Maze, on the other hand, focuses on user experience (UX) research through user testing and interactive prototypes. It allows designers to test and collect data on how users navigate and interact with their designs, helping to identify usability issues and make improvements.

  2. Scope and Purpose: Google Analytics has a broader scope and is suitable for businesses of all sizes and industries. It offers comprehensive data analysis, audience segmentation, traffic sources, and marketing insights. Maze, however, is specifically designed for UX research and testing. It helps designers and product teams understand user behavior, test design hypotheses, and optimize the user experience.

  3. Automation vs. User Interaction: Google Analytics mainly relies on automated data collection and analysis, providing valuable insights without the need for direct user interaction. Maze, on the other hand, emphasizes user interaction and direct feedback. It enables designers to conduct user tests, observe how users navigate their designs, and gather qualitative feedback on the user experience.

  4. Real-time vs. Iterative Testing: Google Analytics provides real-time data, allowing businesses to monitor website traffic and marketing campaigns in real-time. It enables quick insights and on-the-fly adjustments. In contrast, Maze focuses on iterative testing and improvement. Designers can create interactive prototypes, run usability tests, and iterate on their designs based on user feedback.

  5. Customizability and Flexibility: Google Analytics offers extensive customization options, allowing users to set up custom reports, goals, and events based on their specific needs. It provides a flexible framework for tracking, analyzing, and reporting website data. In comparison, Maze focuses on providing a user-friendly and streamlined UX research platform, with predefined metrics and testing templates tailored for user testing.

  6. Cost and Accessibility: Google Analytics has a range of pricing options, including a free version for basic analytics needs. It provides accessibility to businesses of all sizes. Maze, on the other hand, has a pricing structure based on the number of user tests conducted. It may be more suitable for companies or designers specifically focused on UX research and testing, as it may have a higher cost compared to Google Analytics.

In summary, while both Google Analytics and Maze offer data insights, they differ in their focus and purpose. Google Analytics is a comprehensive web analytics tool, suitable for businesses of all sizes and industries, providing real-time data, automation, and customization options. Maze, on the other hand, is more focused on UX research, user testing, and iterative design improvements, with an emphasis on direct user interaction and feedback.

Decisions about Google Analytics and Maze
Dennis Paulus
Founder, Software Engineer & Product Manager at BlazingMedia · | 7 upvotes · 19K views

We have integrated Panelbear on our Website, rather than Google Analytics, because it is way more respecting of the User's Privacy. Whilst Google Analytics gives us in-depth information on virtually everything, we don't even need that much. Panelbear keeps it simple and in addition to that, displays the data well structured in a simple and intuitive dashboard

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Pros of Google Analytics
Pros of Maze
  • 1.5K
  • 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
    Advanced ecommerce
  • 2
    Walkman music video playlist
  • 1
    Medium / Channel data split
  • 1
  • 1
    Financial Management Challenges -2015h
  • 1
  • 1
    Easy to integrate
  • 3
    Makes validating protos easier
  • 2
    Easy export and setup

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Cons of Google Analytics
Cons of Maze
  • 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
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    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.

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    Blog Posts

    Jul 2 2019 at 9:34PM


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    What are some alternatives to Google Analytics and Maze?
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    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.
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    Tag Manager gives you the ability to add and update your own tags for conversion tracking, site analytics, remarketing, and more. There are nearly endless ways to track user behavior across your sites and apps, and the intuitive design lets you change tags whenever you want.
    Amplitude provides scalable mobile analytics that helps companies leverage data to create explosive user growth. Anyone in the company can use Amplitude to pinpoint the most valuable behavioral patterns within hours.
    Heap automatically captures every user action in your app and lets you measure it all. Clicks, taps, swipes, form submissions, page views, and more. Track events and segment users instantly. No pushing code. No waiting for data to trickle in.
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