Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
Platform API Overview
Accounts
Apps
Audiences
Calculated Attributes
Data Points
Feeds
Field Transformations
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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
Bulk Profile Deletion API Reference
Calculated Attributes Seeding API
Custom Access Roles API
Data Planning API
Group Identity API Reference
Pixel Service
Profile API
Events API
mParticle JSON Schema Reference
IDSync
AMP SDK
Initialization
Configuration
Network Security Configuration
Event Tracking
User Attributes
IDSync
Screen Events
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Opt Out
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Logger
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API Reference
Upgrade to Version 5
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Web
Android
iOS
Getting Started
Identity
Initialization
Configuration
Event Tracking
User Attributes
IDSync
Screen Tracking
Commerce Events
Location Tracking
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Kits
Application State and Session Management
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Error Tracking
Opt Out
Push Notifications
Webview Integration
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Preventing Blocked HTTP Traffic with CNAME
Linting Data Plans
Troubleshooting iOS SDK
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iOS 14 Guide
iOS 15 FAQ
iOS 16 FAQ
iOS 17 FAQ
iOS 18 FAQ
API Reference
Upgrade to Version 7
Upload Frequency
Getting Started
Opt Out
Initialize the SDK
Event Tracking
Commerce Tracking
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Location Tracking
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Initialization
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Configuration
Event Tracking
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Page View Tracking
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Location Tracking
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Kits
Application State and Session Management
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Opt Out
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Web SDK via Google Tag Manager
Preventing Blocked HTTP Traffic with CNAME
Facebook Instant Articles
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Linting Data Plans
API Reference
Upgrade to Version 2 of the SDK
Getting Started
Identity
Web
Alexa
Node SDK
Go SDK
Python SDK
Ruby SDK
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
Data Hosting Locations
Compose ID
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
Project Settings
Roles and Teammates
Organization Settings
Global Project Filters
Portfolio Analytics
Analytics Data Manager Overview
Events
Event Properties
User Properties
Revenue Mapping
Export Data
UTM Guide
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 Introduction
Getting Started
Visualization Options
For Clauses
Date Range and Time Settings
Calculator
Numerical Settings
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
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
Organize Dashboards
Dashboard Filters
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
Events can represent any generic activity in your application that you think might be worth tracking. Examples could be tapping a button, finishing a game level - really any user interaction that you may want to track and analyze. Special event types such as screen views, eCommerce transactions, and errors are covered later in this guide.
Events are logged using the logEvent
method and/or one of its variants.
MParticle.Instance.LogEvent (new MPEvent("Hello world", EventType.Navigation) {
Duration = 1000,
StartTime = 123456789,
EndTime = 1234557789,
Info = new Dictionary<string, string>{{ "foo", "bar" }},
CustomFlags = new Dictionary<string, List<string>> {
{ "custom flag 1", new List<string> () { "one", "two", "five" } },
{ "custom flag 2", new List<string> () { } },
{ "custom flag 3", new List<string> () { "singleVal" } }
}
}
);
The SDK provides an enumeration that represents the possible event types. See below for a description of this categorization.
Event Type | Description |
---|---|
Navigation | Events that indicate a user click sequence or content consumption. Examples might include interface navigation, music listening, video view, menu or tab selection, or when the back button is pressed. |
Location | Events that indicate where a user is located or interacting physically. Examples might include a check-in, geo fence, or GPS navigation. |
Search | Any event where users input criteria to find content/answers. Examples might include a keyword search, voice search, or a QR code scan. |
Transaction | Any events that are part of a transaction workflow. Examples might include selecting a product, subscribe, upgrade, or bid. |
User content | Events where users are creating content. Examples might include create task, compose, record, scan, or save. |
User preference | Any event that creates personalization for the user. This includes registration, saving/labeling content items, creating profiles, setting application preferences or permissions. |
Social | Any action where users share content with others. Examples might include post, rate, tweet, share, attach, email. |
Other | Use this event type to create an event that falls into no clear category. |
To save bandwidth, mParticle does not always immediately send each event as it is generated. Instead we upload batches of events according to the following rules:
The SDK always uploads as soon as possible on the first session for a client, to ensure that install events are immediately available.
Whenever a Commerce event is logged, mParticle will imediately upload all queued events.
mParticle uploads all queued events whenever a session ends. This may be after a user navigates away from your app according to the configured session timeout
In all other cases, mParticle uploads events at a set interval: 10 seconds in development, 10 minutes in production.
If you have a high-volume event that you would like to forward to kits but exclude from uploading to mParticle, set the Boolean flag ShouldUploadEvent
per event.
MParticle.Instance.LogEvent (new MPEvent("Hello world", EventType.Navigation) {
Duration = 1000,
StartTime = 123456789,
EndTime = 1234557789,
Info = new Dictionary<string, string>{{ "foo", "bar" }},
CustomFlags = new Dictionary<string, List<string>> {
{ "custom flag 1", new List<string> () { "one", "two", "five" } },
{ "custom flag 2", new List<string> () { } },
{ "custom flag 3", new List<string> () { "singleVal" } }
},
ShouldUploadEvent = false // Set false to prevent uploading, true or omit to upload
}
);
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