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API Reference
Upgrade to Version 5
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Web
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Workspace Switching
Initialization
Configuration
Event Tracking
User Attributes
IDSync
Screen Tracking
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Location Tracking
Media
Kits
Application State and Session Management
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Error Tracking
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Push Notifications
Webview Integration
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Preventing Blocked HTTP Traffic with CNAME
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Troubleshooting iOS SDK
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API Reference
Upgrade to Version 7
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Getting Started
Identity
Upload Frequency
Getting Started
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Initialize the SDK
Event Tracking
Commerce Tracking
Error Tracking
Screen Tracking
Identity
Location Tracking
Session Management
Initialization
Configuration
Content Security Policy
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
Getting Started
Identity
Alexa
Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
Key Management
Platform API Overview
Accounts
Apps
Audiences
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Data Points
Feeds
Field Transformations
Services
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Workspaces
Warehouse Sync API Overview
Warehouse Sync API Tutorial
Warehouse Sync API Reference
Data Mapping
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Warehouse Sync Troubleshooting Guide
ComposeID
Warehouse Sync API v2 Migration
Audit Logs API
Bulk Profile Deletion API Reference
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Group Identity API Reference
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mParticle JSON Schema Reference
IDSync
Node SDK
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Python SDK
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Java SDK
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
Introduction
Outbound Integrations
Firehose Java SDK
Inbound Integrations
Compose ID
Data Hosting Locations
Glossary
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
Composable Audiences Overview
User Guide Overview
Warehouse Setup Overview
Audience Setup
Frequently Asked Questions
Overview
Overview
User Profiles
Household Reach
Overview
Create and Manage Group Definitions
Calculated Attributes Overview
Using Calculated Attributes
Create with AI Assistance
Calculated Attributes Reference
Predictions Overview
What's Changed in the New Predictions UI
View and Manage Predictions
Future Behavior Predictions Overview
Create Future Behavior Prediction
Manage Future Behavior Predictions
Create an Audience with Future Behavior Predictions
Identity Dashboard
Identity Logs
Create an Input
Start capturing data
Connect an Event Output
Create an Audience
Connect an Audience Output
Transform and Enhance Your Data
Usage and Billing Report
The new mParticle Experience
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Observability User Guide
Observability Troubleshooting Examples
Observability Span Glossary
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Analytics Free Trial
Troubleshooting mParticle
Usage metering for value-based pricing (VBP)
IDSync Overview
Use Cases for IDSync
Components of IDSync
Store and Organize User Data
Identify Users
Default IDSync Configuration
Profile Conversion Strategy
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Best Match Strategy
Aliasing
Audiences Overview
Create an Audience
Connect an Audience
Manage Audiences
Audience Sharing
Audience Expansion (Early Access)
Match Boost
FAQ
Inclusive & Exclusive Audiences Overview
Using Logic Blocks in Audiences
Combining Inclusive and Exclusive Audiences
Inclusive & Exclusive Audiences FAQ
Audience Agent Overview
Building Audiences with the Agent
Data and Privacy
Standard Audiences (Legacy)
Predictive Audiences Overview
Using Predictive Audiences
New vs. Classic Experience Comparison
Introduction
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Getting Started with Funnels
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Modify Filters With And/Or Clauses
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Apply All for Filter Where Clauses
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Understanding the Screen View Event
User Aliasing
Dashboards––Getting Started
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Feeds
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Glossary
Video Index
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Setup Examples
Introduction
Introduction
Introduction
Rudderstack
Google Tag Manager
Segment
AWS Kinesis (Snowplow)
Advanced Data Warehouse Settings
AWS Redshift (Define Your Own Schema)
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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)
Aliasing
Event
Audience
Audience
Event
Feed
Audience
Cookie Sync
Server-to-Server Events
Platform SDK Events
Audience
Audience
Event
Feed
Audience
Event
Event
Event
Data Warehouse
Event
Event
Audience
Feed
Event
Event
Event
Event
Event
Event
Audience
Event
Event
Feed
Event
Event
Audience
Feed
Event
Event
Custom Feed
Event
Data Warehouse
Event
Event
Audience
Audience
Audience
Audience
Event
Event
Event
Event
Event
Event
Event
Audience
Audience
Event
Audience
Data Warehouse
Event
Event
Audience
Cookie Sync
Event
Event
Event
Event
Event
Feed
Feed
Event
Event
Kit
Event
Audience
Event
Event
Audience
Event
Event
Event
Feed
Audience
Event
Event
Audience
Audience
Event
Audience
Audience
Audience
Event
Microsoft Ads Audience Integration
Audience
Event
Event
Event
Feed
Event
Event
Event
Event
Event
Event
Feed
Audience
Event
Event
Event
Event
Event
Event
Event
Event
Feed
Event
Event
Audience
Event
Custom Pixel
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Event
Event
Event
Audience
Event
Data Warehouse
Audience
Event
Event
Audience
Event
Audience
Feed
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Event
Audience
Audience
Event
Audience
Audience
Audience
Cookie Sync
Event
Feed
Audience
Event
Event
Audience
Audience
Event
Event
Event
Event
Audience
Cookie Sync
Audience
Cookie Sync
Feed
Audience
This guide explains how to create an audience using the Audience Agent, from describing your goals, through reviewing and refining the agent’s proposal, to saving the finished audience.
The agent panel opens with a message box and a set of starter prompts for common ways to begin, such as “I have a campaign goal, help me define the right audience” and “Show me what data I have to work with.”
In the message box, describe the audience in plain language - either a specific definition (“users who purchased in the last 7 days”) or a goal (“re-engage customers who lapsed after one purchase”). You don’t need to know your event or attribute names.
The agent shows its proposal in two phases: an audience definition card, which you can respond to with additional questions and prompts to refine your audience, and an audience proposal card when you are done refining your audience and are ready to save.
The audience definition card includes the suggested name, a summary of who qualifies, an estimated audience size, and a prompt asking you to confirm the definition or refine it.
The card header shows the audience name and an estimated size. While the agent calculates, the size shows a loading indicator. If the population is too small to estimate reliably, a warning icon appears instead of a number. Hover over it for the reason: “Population is too small to accurately estimate.”
The card lists which inputs the audience draws from, such as “All (2) inputs from current workspace,” and the environment it targets, such as Production.
If you have more than one workspace, you can change the workspace selected by hovering over “From … workspace” and click Update workspace(s) selection.
Each row states the rule in plain language, such as “performed Purchase at least 1 time in the last 7 days.” Event and attribute names appear in color to show they were resolved against real entities in your workspace.
Each rule row shows how many platforms it draws from, such as “From 2 platforms.” Hover over it to see which platforms and feeds are included, and click Update platform(s) or feed selection in that popover to adjust them.
Read the summary to confirm the agent interpreted your intent correctly before moving on.
If the definition is too broad, too narrow, or not quite right, reply conversationally with a follow-up like “make it the last 14 days” or “only users who purchased more than 3 times.” The agent updates the definition and creates a new version.
Each definition is tracked as a numbered version in the Size calculation bar at the top of the panel (Audience 1, Audience 2, and so on). Each version shows its own size estimate, and clicking a version jumps back to that definition in the conversation, so you can compare definitions before deciding which one to save.
When you are happy with the final definition, the agent will display the audience proposal card summarizing the finalized audience proposal.
Nothing is saved until you click Proceed to Save. To return to drafting, click Continue Refining.
After saving, the audience appears in your Audiences list and behaves like any other audience. To connect and activate it, follow Connect an Audience — the agent does not connect audiences to destinations.
Several controls are available in the agent panel itself to help you manage your conversation:
Hover the warning for the reason. “Population is too small to accurately estimate” means too few users currently match. Change the definition (for example, broaden it using a longer time window), and the size will recalculate.
The agent only uses signals that exist in your workspace and won’t substitute a weak proxy. If your request needs a metric that isn’t instrumented, it explains the dependency.
Multi-node structures, editing existing audiences, scheduled audiences, and audience activation are out of scope for this release. The agent explains the limitation and offers the closest useful next step. For manual control, use the Audience Builder.
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