Documentation
Developers
API References
Data Subject Request API
Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
Platform API
Platform API Overview
Accounts
Apps
Audiences
Calculated Attributes
Data Points
Feeds
Field Transformations
Services
Users
Workspaces
Warehouse Sync API
Warehouse Sync API Overview
Warehouse Sync API Tutorial
Warehouse Sync API Reference
Data Mapping
Warehouse Sync SQL Reference
Warehouse Sync Troubleshooting Guide
ComposeID
Warehouse Sync API v2 Migration
Bulk Profile Deletion API Reference
Calculated Attributes Seeding API
Data Planning API
Custom Access Roles API
Group Identity API Reference
Pixel Service
Profile API
Events API
mParticle JSON Schema Reference
IDSync
Client SDKs
AMP
AMP SDK
Android
Initialization
Configuration
Network Security Configuration
Event Tracking
User Attributes
IDSync
Screen Events
Commerce Events
Location Tracking
Media
Kits
Application State and Session Management
Data Privacy Controls
Error Tracking
Opt Out
Push Notifications
WebView Integration
Logger
Preventing Blocked HTTP Traffic with CNAME
Linting Data Plans
Troubleshooting the Android SDK
API Reference
Upgrade to Version 5
Cordova
Cordova Plugin
Identity
Direct Url Routing
Direct URL Routing FAQ
Web
Android
iOS
iOS
Initialization
Configuration
Event Tracking
User Attributes
IDSync
Screen Tracking
Commerce Events
Location Tracking
Media
Kits
Application State and Session Management
Data Privacy Controls
Error Tracking
Opt Out
Push Notifications
Webview Integration
Upload Frequency
App Extensions
Preventing Blocked HTTP Traffic with CNAME
Linting Data Plans
Troubleshooting iOS SDK
Social Networks
iOS 14 Guide
iOS 15 FAQ
iOS 16 FAQ
iOS 17 FAQ
iOS 18 FAQ
API Reference
Upgrade to Version 7
React Native
Getting Started
Identity
Unity
Upload Frequency
Getting Started
Opt Out
Initialize the SDK
Event Tracking
Commerce Tracking
Error Tracking
Screen Tracking
Identity
Location Tracking
Session Management
Web
Initialization
Content Security Policy
Configuration
Event Tracking
User Attributes
IDSync
Page View Tracking
Commerce Events
Location Tracking
Media
Kits
Application State and Session Management
Data Privacy Controls
Error Tracking
Opt Out
Custom Logger
Persistence
Native Web Views
Self-Hosting
Multiple Instances
Web SDK via Google Tag Manager
Preventing Blocked HTTP Traffic with CNAME
Facebook Instant Articles
Troubleshooting the Web SDK
Browser Compatibility
Linting Data Plans
API Reference
Upgrade to Version 2 of the SDK
Xamarin
Getting Started
Identity
Web
Alexa
Quickstart
Android
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
iOS Quick Start
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
Web
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
Python Quick Start
Step 1. Create an input
Step 2. Create an output
Step 3. Verify output
Server SDKs
Node SDK
Go SDK
Python SDK
Ruby SDK
Java SDK
Guides
Partners
Introduction
Outbound Integrations
Outbound Integrations
Firehose Java SDK
Inbound Integrations
Compose ID
Glossary
Data Hosting Locations
Migrate from Segment to mParticle
Migrate from Segment to mParticle
Migrate from Segment to Client-side mParticle
Migrate from Segment to Server-side mParticle
Segment-to-mParticle Migration Reference
Rules Developer Guide
API Credential Management
The Developer's Guided Journey to mParticle
Guides
Getting Started
Create an Input
Start capturing data
Connect an Event Output
Create an Audience
Connect an Audience Output
Transform and Enhance Your Data
Platform Guide
The New mParticle Experience
The new mParticle Experience
The Overview Map
Introduction
Data Retention
Connections
Activity
Live Stream
Data Filter
Rules
Tiered Events
mParticle Users and Roles
Analytics Free Trial
Troubleshooting mParticle
Usage metering for value-based pricing (VBP)
Analytics
Introduction
Setup
Sync and Activate Analytics User Segments in mParticle
User Segment Activation
Welcome Page Announcements
Settings
Project Settings
Roles and Teammates
Organization Settings
Global Project Filters
Portfolio Analytics
Analytics Data Manager
Analytics Data Manager Overview
Events
Event Properties
User Properties
Revenue Mapping
Export Data
UTM Guide
Query Builder
Data Dictionary
Query Builder Overview
Modify Filters With And/Or Clauses
Query-time Sampling
Query Notes
Filter Where Clauses
Event vs. User Properties
Group By Clauses
Annotations
Cross-tool Compatibility
Apply All for Filter Where Clauses
Date Range and Time Settings Overview
Understanding the Screen View Event
Analyses
Analyses Introduction
Segmentation: Basics
Getting Started
Visualization Options
For Clauses
Date Range and Time Settings
Calculator
Numerical Settings
Segmentation: Advanced
Assisted Analysis
Properties Explorer
Frequency in Segmentation
Trends in Segmentation
Did [not] Perform Clauses
Cumulative vs. Non-Cumulative Analysis in Segmentation
Total Count of vs. Users Who Performed
Save Your Segmentation Analysis
Export Results in Segmentation
Explore Users from Segmentation
Funnels: Basics
Getting Started with Funnels
Group By Settings
Conversion Window
Tracking Properties
Date Range and Time Settings
Visualization Options
Interpreting a Funnel Analysis
Funnels: Advanced
Group By
Filters
Conversion over Time
Conversion Order
Trends
Funnel Direction
Multi-path Funnels
Analyze as Cohort from Funnel
Save a Funnel Analysis
Explore Users from a Funnel
Export Results from a Funnel
Saved Analyses
Manage Analyses in Dashboards
Dashboards
Dashboards––Getting Started
Manage Dashboards
Dashboard Filters
Organize Dashboards
Scheduled Reports
Favorites
Time and Interval Settings in Dashboards
Query Notes in Dashboards
User Aliasing
Analytics Resources
The Demo Environment
Keyboard Shortcuts
Tutorials
Analytics for Marketers
Analytics for Product Managers
Compare Conversion Across Acquisition Sources
Analyze Product Feature Usage
Identify Points of User Friction
Time-based Subscription Analysis
Dashboard Tips and Tricks
Understand Product Stickiness
Optimize User Flow with A/B Testing
User Segments
IDSync
IDSync Overview
Use Cases for IDSync
Components of IDSync
Store and Organize User Data
Identify Users
Default IDSync Configuration
Profile Conversion Strategy
Profile Link Strategy
Profile Isolation Strategy
Best Match Strategy
Aliasing
Data Master
Group Identity
Overview
Create and Manage Group Definitions
Introduction
Catalog
Live Stream
Data Plans
Data Plans
Blocked Data Backfill Guide
Personalization
Predictive Attributes
Predictive Attributes Overview
Create Predictive Attributes
Assess and Troubleshoot Predictions
Use Predictive Attributes in Campaigns
Predictive Audiences
Predictive Audiences Overview
Using Predictive Audiences
Introduction
Profiles
Warehouse Sync
Data Privacy Controls
Data Subject Requests
Default Service Limits
Feeds
Cross-Account Audience Sharing
Approved Sub-Processors
Import Data with CSV Files
Import Data with CSV Files
CSV File Reference
Glossary
Video Index
Analytics (Deprecated)
Identity Providers
Single Sign-On (SSO)
Setup Examples
Introduction
Developer Docs
Introduction
Integrations
Introduction
Rudderstack
Google Tag Manager
Segment
Data Warehouses and Data Lakes
Advanced Data Warehouse Settings
AWS Kinesis (Snowplow)
AWS Redshift (Define Your Own Schema)
AWS S3 Integration (Define Your Own Schema)
AWS S3 (Snowplow Schema)
BigQuery (Snowplow Schema)
BigQuery Firebase Schema
BigQuery (Define Your Own Schema)
GCP BigQuery Export
Snowflake (Snowplow Schema)
Snowplow Schema Overview
Snowflake (Define Your Own Schema)
Developer Basics
Aliasing
Group By
Group By clauses, also referred to as Breakouts, allow you to segment data based on event properties, user properties or user segments to better understand its context. You may also visualize conversions on a per breakout level, allowing you to see which groups are performing better. Group By functions can be used to categorize users using an event property, user property, or user segment.
You may isolate each group’s conversion rate by choosing the corresponding slice of the donut in the visualization area. The Total Conversion Rate and Average Conversion Time displayed in the top left corner, and the conversion rate in the webbing between each step will change to reflect only users that are in the selected breakout.
Breakout mode
To understand which types of users are converting, you may apply property breakouts to your Funnel analysis. In Funnel, there are two types of property breakout modes:
Per step
An event property or user property breakout will be applied to each step individually for the entire group of users in each step. For example, a user may complete steps in a conversion funnel on a variety of devices. To explore which type of device the user used at each individual step, use Per Step.
Shared
An event property or user property will be applied to a single step and then shared across the entire funnel. For example, some of your users may enter the top of the funnel through their mobile device, whereas others may enter through their desktop computer. To compare conversion rates through the entire funnel via mobile vs. desktop, regardless of the device used in subsequent steps, use Shared and apply your breakout to the first step in the funnel.
Attribution
When applying a Group By clause to a funnel analysis, you must select whether the steps are broken out by the first, last or all property attribution. The default selection is first.
- First: Use the first observed property value to attribute users to a breakout
- Last: Use the last observed property value to attribute users to a breakout
- All: Use all observed property values to attribute users to a breakout
All of the above options are subject to the selected date range for your funnel query.
Group by first or last
When the funnel query is set to group by first or last property values, the results are grouped by the first or last time the event was observed for each user.
For example, when the query is set to “group by last”, if a particular user performs the event Blog View three times during the selected date range, the third time they performed the event is represented in the groupings in all of the donuts (because the Funnel breakout mode is Shared).
With the default (Shared) breakout settings, this Blog View grouping is applied across all of the subsequent steps in the funnel.
If you wish to see the users’ last action for each step, switch the breakout mode to Each Step in Settings.
Group by all
When the funnel query is set to group by all property values, additional comma separated breakout values are created that represent all possible combinations of behaviors that users might take.
To illustrate how grouping by all users’ events works, consider three users who performed the event Download during a given time frame, and are grouped by browser:
- User A performed Download from a Mac.
- User B performed Download from a PC.
- User C performed Download from a PC, and then from an Android device.
When grouped by all values, the resulting funnel donut for these users would show three breakouts: one for Mac, one for PC, and one for PC | Android.
Was this page helpful?
- Last Updated: December 20, 2024