About Analysis

Gain actionable insights about your users.
In this article:

This help center article is part of the App + Web Property Beta.

App + Web properties are not currently supported in the Analytics app.

Analysis is a free, fast, and flexible user-centric analysis tool for Google Analytics customers that helps you explore, discover, compare, and act on your audiences.

What can I do with Analysis?

Analysis lets you dig into your Google Analytics data to uncover insights and turn them into actions. You can bring in data from Google Ads.

Analysis lets you easily configure and switch between a number of analysis techniques. You can drill down into the data, sort and refactor it, add and remove dimensions and metrics quickly and easily. Use filters and segments to hone in on the data that's most relevant to you.

Once you've discovered interesting data sets, you can export them as Google Analytics segments or audiences. You can share your analyses with stakeholders throughout your organization and beyond. You can also export the data for use in other tools.

How Analysis works

Analysis groups your saved work in the Analysis Hub. The Hub makes it easy to find all the analyses you've created, or that have been shared with you. You can get started quickly by opening one of the analysis templates.

An analysis consists of one or more tabs, each of which can display your data using a specific analysis technique.

Techniques govern the way data is analyzed within the tab. These techniques offer enhanced functionality over similar techniques available in standard Google Analytics.

Analysis currently supports the following techniques:

  • Explorations present your data in a familiar crosstab layout. You can also apply several different visualization styles in an Exploration, including bar charts, pie charts, line charts, scatter plots and geo maps. Learn more.
  • Funnels visualize your users' journeys through your site or app. Use funnels to optimize your user experience and identify over- or under-performing audiences. Learn more.
  • The segment overlap technique uses Venn-style diagrams to show how different user segments relate to each other. Use this technique to identify new segments of users who meet complex criteria. Learn more.
  • The user explorer shows you the users that make up the segments you create or import. You can also drill down into individual user activities. Learn more.
  • Path Analysis displays your users' journeys in a tree graph. Use Pathing to explore how your users interact with your website and app. Learn more

Variables are the set of dimensions, metrics, and Google Analytics segments you can use in your analysis. You can easily add and remove these variables, as well as switch between Analytics views and adjust the time frame of the analysis in the Variables panel.

Settings are the variables currently used in the selected analysis technique. Add new variables to the settings by dragging or double-clicking the ones you want in the Variables panel. Settings also include filters and other configuration options specific to the current technique.

Limits of Analysis

Analysis is subject to the following limits:

  • Analysis is in closed beta.
  • You can create up to 200 individual analyses per user per property .
    • You can create up to 500 shared analyses per property.
  • You can import up to 10 segments per analysis.
  • Analysis will sample data if more than 10 millions events are part of the analysis..

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