Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
Platform API Overview
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Apps
Audiences
Calculated Attributes
Data Points
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Users
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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
Custom Access Roles API
Bulk Profile Deletion API Reference
Data Planning API
Group Identity API Reference
Calculated Attributes Seeding API
Pixel Service
Profile API
Events API
mParticle JSON Schema Reference
IDSync
AMP SDK
Initialization
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IDSync
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API Reference
Upgrade to Version 5
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Direct URL Routing FAQ
Web
Android
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
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Preventing Blocked HTTP Traffic with CNAME
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Troubleshooting iOS SDK
Social Networks
iOS 14 Guide
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iOS 16 FAQ
iOS 17 FAQ
iOS 18 FAQ
API Reference
Upgrade to Version 7
Getting Started
Identity
Upload Frequency
Getting Started
Opt Out
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Event Tracking
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Error Tracking
Screen Tracking
Identity
Location Tracking
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Initialization
Configuration
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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
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Persistence
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Web SDK via Google Tag Manager
Preventing Blocked HTTP Traffic with CNAME
Facebook Instant Articles
Troubleshooting the Web SDK
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Linting Data Plans
API Reference
Upgrade to Version 2 of the SDK
Getting Started
Identity
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
Go SDK
Python SDK
Ruby SDK
Java SDK
Introduction
Outbound Integrations
Firehose Java SDK
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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
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
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)
Introduction
Sync and Activate Analytics User Segments in mParticle
User Segment Activation
Welcome Page Announcements
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Events
Event Properties
User Properties
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UTM Guide
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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
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Apply All for Filter Where Clauses
Date Range and Time Settings Overview
Understanding the Screen View Event
Analyses Introduction
Getting Started
Visualization Options
For Clauses
Date Range and Time Settings
Calculator
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Properties Explorer
Frequency in Segmentation
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Did [not] Perform Clauses
Cumulative vs. Non-Cumulative Analysis in Segmentation
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Save Your Segmentation Analysis
Export Results in Segmentation
Explore Users from Segmentation
Getting Started with Funnels
Group By Settings
Conversion Window
Tracking Properties
Date Range and Time Settings
Visualization Options
Interpreting a Funnel Analysis
Group By
Filters
Conversion over Time
Conversion Order
Trends
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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––Getting Started
Manage Dashboards
Dashboard Filters
Organize Dashboards
Scheduled Reports
Favorites
Time and Interval Settings in Dashboards
Query Notes in Dashboards
User Aliasing
The Demo Environment
Keyboard Shortcuts
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 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
Overview
Create and Manage Group Definitions
Introduction
Catalog
Live Stream
Data Plans
Blocked Data Backfill Guide
Predictive Attributes Overview
Create Predictive Attributes
Assess and Troubleshoot Predictions
Use Predictive Attributes in Campaigns
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
CSV File Reference
Glossary
Video Index
Single Sign-On (SSO)
Setup Examples
Introduction
Introduction
Introduction
Rudderstack
Google Tag Manager
Segment
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)
Aliasing
mParticle’s IDSync features are designed to address the following common issues with user management.
A common scenario for a media or ecommerce app goes something like this:
How should the data from this interaction be organized? There are two basic approaches:
There are compelling business and legal arguments for and against each approach. By choosing the first approach, you have a chance to preserve a complete history of a user’s experience with your app. This might be invaluable for improving your funnel. However, you also introduce the possibility of mingling data from several users into a single profile. For example, on a shared device, multiple users might access the app in a pre-signup state.
The second approach sacrifices the possibility of collecting a user’s entire history under a single continuous view. However, you can be sure that the data from your logged-in users is never mixed up with data from a different user. Quarantining anonymous data from known user data may also be required by law.
IDSync is designed to let you make smart decisions about user continuity that fit the needs of your app and to give you transparency into how user profiles are created and updated.
Users often interact with an app ecosystem through more than one device. For example, users might interact with an eCommerce app through both a native app and a web browser, or view media content on a web browser, a native app, or a Roku channel.
Many apps will want to track events and lifetime value for a user across all platforms, but others will prefer to keep data for each platform separate. IDSync allows mParticle to support both use cases, and to harness 3rd party data to decisively link data generated from your apps with data from other sources, like CRM Feeds.
Your product ecosystem may be spread not just across multiple platforms, but also multiple apps. Needs for tracking users across multiple apps will vary depending on your business model. For example, a gaming organization might publish dozens of individual games and want to track their user’s LTV across all their apps. By creating workspaces for each app group under the same mParticle account, you can allow them to share a pool of users, and create only one profile per known user, no matter how many of your apps they use.
Alternatively, you might wish to define different groups of users for different apps within the same ecosystem. For example, you might have one app for vendors and another for buyers, with a completely different set of metrics for each group. IDSync allows mParticle to support either use case.
Personalization of customer experience (CX) is a top priority for marketers. Personalization reduces friction and increases conversions by presenting relevant in-context content that increases customer awareness, engagement, and satisfaction. The Immutable Identity Setting enables marketers to use the mParticle Profile API to get the most up-to-date real-time user identities, device identities, user attributes, and audience memberships. The Profile API uses either an identifier with Immutable Identity set or the mParticle Identifier to match a user profile. Additionally, IDSync Search allows marketers to query User Profiles by any known identifier, such as email, mobile phone, or device identity, and return all matched user identity values including the mParticle ID. The mParticle ID can then be used with Profile API to get the values necessary to personalize the customer experience.
The ability to provide evidence that demonstrates that your organization is in regulatory compliance is important to every Chief Privacy Officer and corporate information security executive. GDPR and CCPA data privacy controls and traceability are core to mParticle’s user profile data policies. In addition, the IDSync Search capability can verify that a matching User Profile exists. It can also be used after a GDPR or CCPA User Profile Delete Request has been processed, to validate that the process has completed successfully and thereby validate compliance.
Different user identifiers have different lifespans and degrees of specificity. A Customer ID or a social media ID permanently identify a single user, while an IP Address or Session ID may not be sufficient to identify a single user and can change at any time. Other identifiers fall somewhere in between. Email addresses, for example, do identify a single user, but a user may change their email address over time. IDSync gives you the tools to update identifiers for a User Profile without losing that user’s history.
With mParticle managing all available identities for a user, you’re freed up to focus on your data. One messaging service requires an email address while another needs Push Tokens? Don’t worry about it. Build your messaging audiences in mParticle based on any criteria you need and mParticle will forward the correct identities for each service, as long as they are available.
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