Understand your universal exploration analysis

The template consists of the following five modules:

The measure module contains a + icon that lets you choose a measure to calculate for the selected events and segments. You can reorder the measures you add to the module using drag and drop.

The following measures are available in the template:

Inside the measures module, you can enable period-over-period comparison for each measure by clicking the over time toggle next to Measure.

This module lets you choose a cohort of actors, such as users, or one or more attributes to include in the analysis. It has two sub-sections: Segment by Cohort and Group by Property, which let you add cohorts and attributes. You can create a cohort by choosing an existing cohort from the drop-down list or using the + New Cohort option to create a behavioral cohort block in one click.

You can use filters to narrow down data in a visualization. They make it easier for you to answer exploratory questions. For example, if you want to see results for a specific region, you can define a region filter and see the narrowed-down data.

Analytics also lets you choose JSON columns in this module. When you click a JSON column, it expands to display the available keys for that column. You can choose a key and click Apply. When this is done, the selected end key is chosen as the display name for that column.

The visualization module lets you run and view the analysis. It lets you edit visualizations, examine the underlying SQL query, and add the chart to a dashboard.

The following features are available in this module:

These options let you switch the values on the Y-axis from absolute values to percentages and vice versa in one click. This feature is useful when dealing with multiple segments, as using absolute values lets you see a clearer breakdown of how many individuals are in each segment.

Time Range refers to the complete period during which events are considered for the analysis. Examples include the last two years or the time range between two specific dates. Time Grain refers to the granularity of analysis, such as Daily (1 day), Weekly (7 days), and so on.

You can set the time range using a simple drop-down list or even choose from the quick options and iterate through different choices of time range and time grain without leaving the chart. It is also possible to set a lag using the Ending option.

In the visualization module, you can configure sampling modes for your exploration by clicking the lightning icon. The drop-down list displays two sampling modes: Enabled Faster Response or Enabled Higher Precision.

Clicking the three dots next to Sampling displays a drop-down list with four options: Inspect Query, Add to Dashboard, Edit visualization, and Download As.