Data Subject Request API Version 1 and 2
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Getting Started
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Getting Started
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Web
Alexa
Overview
Step 1. Create an input
Step 2. Verify your input
Step 3. Set up your output
Step 4. Create a connection
Step 5. Verify your connection
Step 6. Track events
Step 7. Track user data
Step 8. Create a data plan
Step 9. Test your local app
Overview
Step 1. Create an input
Step 2. Verify your input
Step 3. Set up your output
Step 4. Create a connection
Step 5. Verify your connection
Step 6. Track events
Step 7. Track user data
Step 8. Create a data plan
Step 1. Create an input
Step 2. Create an output
Step 3. Verify output
Node SDK
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Migrate from Segment to mParticle
Migrate from Segment to Client-side mParticle
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Segment-to-mParticle Migration Reference
Rules Developer Guide
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The Developer's Guided Journey to mParticle
Create an Input
Start capturing data
Connect an Event Output
Create an Audience
Connect an Audience Output
Transform and Enhance Your Data
The new mParticle Experience
The Overview Map
Introduction
Data Retention
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Activity
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Data Filter
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Sync and Activate Analytics User Segments in mParticle
User Segment Activation
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Apply All for Filter Where Clauses
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For Clauses
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Group By
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User Segments
IDSync Overview
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Aliasing
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Introduction
Introduction
Introduction
Rudderstack
Google Tag Manager
Segment
Advanced Data Warehouse Settings
AWS Kinesis (Snowplow)
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BigQuery (Define Your Own Schema)
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Snowflake (Snowplow Schema)
Snowflake (Define Your Own Schema)
Aliasing
A user segment is a group of users who share a common characteristic or behavior (event property, user property, or event completion). They may be one-time (a one-time group that meets a set of fixed criteria, for example, “Users who logged in on Friday, May 29th”) or they may be refreshed daily (an ever-changing group that meets a set of relative criteria, for example, “Users who created an account within the last 30 days”). You may create user segments from within any Analytics tool and the segments may be used within the tools for further analysis, within Users to review the individuals in that segment, or for export via the User Segments Export API. This article describes how to create a user segment, view or manage user segments, and how to use user segments for analysis.
Note: In the User Export Segments API, the value representing one-time is Static and the value for daily is Dynamic.
Available in: Segmentation, Funnel, Cohort
You may create a user segment in Segmentation from any result that contains at least one user. To create a user segment, click on any data point, series, or table cell within your query results, then select “Create User Segment”.
You may create a user segment in Funnel from any result that contains at least one user. To create a user segment for a funnel up to and including a particular step, click on the numerical user count located within the table along the bottom of the chart area, labeled “Count,” then select “Create User Segment”.
You may also select the number displayed within the circle that represents users who complete the step within the chart area, then click on the relevant path, and then select “Create User Segment.”
There are two options for creating a user segment when the funnel query contains a group by:
In a multi-path funnel, you must select a single pathway to create a user segment.
You may create a user segment from any result that contains at least one user. A user segment created from a cohort generation will contain users in that particular cohort. This includes all of the users in the table row.
A user segment created from a cohort interval will contain users in the cohort who also completed the target behavior in the interval. This includes only the users in the table cell.
Use the Create User Segment Modal to review the criteria that comprise your user segment, create a name, description, and category for the user segment, and select whether the segment never changes (One-time) or is updated daily (Daily).
Note: A dynamic user segment will only update if it is defined by a relative date range, for example, “Users who created an account within the last 30 days.”
Filter where clauses allow you to filter an analysis by a specific value or values within an event property or user property. In the case of user segments, a “filter where” clause can be expressed in one of two ways:
Group by clauses, also referred to as “breakouts,” allow you to segment data based on event properties, user properties and now user segments to better understand its context. In the case of user segments, only two values will be expressed when a “By” clause is selected:
To manage user segments, click Settings in the navigation bar, then select “User Segments.” Here, you will see all of the user segments created and saved by members of your project.
Hover over a user segment to view two additional options:
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