Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
Platform API Overview
Accounts
Apps
Audiences
Calculated Attributes
Data Points
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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
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Network Security Configuration
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IDSync
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Opt Out
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Preventing Blocked HTTP Traffic with CNAME
Linting Data Plans
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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
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
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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
Error Tracking
Screen Tracking
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Location Tracking
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Initialization
Content Security Policy
Configuration
Event Tracking
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IDSync
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Location Tracking
Media
Kits
Application State and Session Management
Data Privacy Controls
Error Tracking
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
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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
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––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
This SDK is a helper library for the mParticle Events HTTP API, it exposes mParticle’s schema as simple models and provides an HTTP client interface. This SDK is stateless and will only send the data that you populate, whereas our mobile SDKs will automatically collect app and device information, session events, install events, and maintain persistence. Read this wiki for a general overview and examples, and contact our customer support team to make sure you’re feeding the platform with the right data to power your integrations. You can find the Ruby SDK hosted on Github.
All data sent via the SDK must be encapsulated in a Batch object. Each Batch is associated with a single user. Batch objects must be associated with an environment (production
or development
) to properly silo your testing and production data.
require 'mparticle'
batch = MParticle::Batch.new
batch.environment = 'development'
Most use-cases require that data be associated with a user identity, for example:
user_identities = MParticle::UserIdentities.new
user_identities.customerid = '123456'
user_identities.email = 'user@example.com'
batch.user_identities = user_identities
The DeviceInformation
object describes a mobile device that should be associated with this batch. Crucially, it exposes properties for device identities (Apple IDFA and Google Advertising ID) which are required for nearly all mParticle Audience integrations.
device_info = MParticle::DeviceInformation.new
# set any IDs that you have for this user
device_info.ios_advertising_id = '07d2ebaa-e956-407e-a1e6-f05f871bf4e2'
device_info.android_advertising_id = 'a26f9736-c262-47ea-988b-0b0504cee874'
batch.device_info = device_info
The mParticle audience platform can be powered by only sending a combination of user attributes, used to describe segments of users, and device identities/user identities used to then target those users.
# arbitrary example allowing you to create a segment of users trial users
batch.user_attributes = {'Account type' => 'trial', 'TrialEndDate' => '2016-12-01'}
Events are central to many of mParticle’s integrations; analytics integrations typically require events, and you can create mParticle Audiences based on the recency and frequency of different events. All events should be associated with a timestamp reflecting when they actually occurred, otherwise they will be assigned a timestamp when mParticle receives them.
App Events represent specific actions that a user has taken in your app. At minimum they require a name and a type, but can also be associate with a free-form dictionary of key/value pairs.
app_event = MParticle::AppEvent.new
app_event.event_name = 'Example'
app_event.custom_event_type = 'navigation'
app_event.timestamp_unixtime_ms = example_timestamp
batch.events = [app_event]
The CommerceEvent is central to mParticle’s eCommerce measurement. CommerceEvents can contain many data points but it’s important to understand that there are 3 core variations:
product = MParticle::Product.new
product.name = 'Example Product'
product.id = 'sample-sku'
product.price = 19.99
product_action = MParticle::ProductAction.new
product_action.action = 'purchase'
product_action.products = [product]
product_action.tax_amount = 1.50
product_action.total_amount = 21.49
commerce_event = MParticle::CommerceEvent.new
commerce_event.product_action = product_action
commerce_event.timestamp_unixtime_ms = example_timestamp
batch.events = [commerce_event]
The SessionStartEvent and SessionEndEvent should be used to describe the details of user session such as its length, which is a common metric used in many mParticle integrations. Additonally, length, recency, and frequency of sessions are powerful data-points by which an mParticle audience can be defined.
session_start = MParticle::SessionStartEvent.new
session_start.session_id = 12345678
session_start.timestamp_unixtime_ms = example_timestamp
session_end = MParticle::SessionEndEvent.new
session_end.session_id = session_start.session_id # its mandatory that these match
session_end.session_duration_ms = example_duration
session_end.timestamp_unixtime_ms = example_timestamp + example_duration
batch.events = [session_start, session_end]
Use these events to represent the nuances of inter- and intra-session user-behavior with your app. Install events are crucial to power many attribution integrations and to judge the success of marketing campaigns.
install = MParticle::ApplicationStateTransitionEvent.create_install_event()
install.timestamp_unixtime_ms = example_timestamp
upgrade = MParticle::ApplicationStateTransitionEvent.create_upgrade_event()
upgrade.timestamp_unixtime_ms = example_timestamp
foreground = MParticle::ApplicationStateTransitionEvent.create_foreground_event()
foreground.timestamp_unixtime_ms = example_timestamp
background = MParticle::ApplicationStateTransitionEvent.create_background_event()
background.timestamp_unixtime_ms = example_timestamp
To conform to the ever growing global regulations on data privacy, mParticle provides data privacy controls.
Data privacy control is initially configured in the dashboard and is attached via a batch’s consent_state
.
ccpa_consent_state = MParticle::CCPAConsentState.new
ccpa_consent_state.document = 'document.agreement.v3'
ccpa_consent_state.consented = true
ccpa_consent_state.timestamp_unixtime_ms = Time.now.to_i
ccpa_consent_state.location = 'mparticle.test/signup'
ccpa_consent_state.hardware_id = 'IDFA:a5d96n32-224a-3b11-1088-a202695bc710'
consent_state = MParticle::ConsentState.new
consent_state.ccpa = { 'data_sale_opt_out' => ccpa_consent_state }
batch.consent_state = consent_state
gdpr_consent_state = MParticle::GDPRConsentState.new
gdpr_consent_state.document = 'document_agreement.v2'
gdpr_consent_state.consented = true
gdpr_consent_state.timestamp_unixtime_ms = Time.now.to_i
gdpr_consent_state.location = 'dtmgbank.com/signup'
gdpr_consent_state.hardware_id = 'IDFA:a5d934n0-232f-4afc-2e9a-3832d95zc702'
consent_state = MParticle::ConsentState.new
consent_state.gdpr = { 'My Purpose' => gdpr_consent_state }
batch.consent_state = consent_state
In this example, 'My Purpose'
should match the Consent Purpose defined in your GDPR Setting
The SDK provides an interface to the mParticle HTTP API by way of the EventsApi class.
At minimum, the EventsApi
must be initialized with an mParticle key and secret. You can find your mParticle key and secret by navigating to the Apps section of the mParticle platform UI.
You must associate your data with the correct key and secret. If your app is multi-platform, for example, be sure to send your Android data to your Android key/secret, and your iOS data to your iOS key/secret.
# set credentials
config = MParticle::Configuration.new
config.api_key = 'REPLACE WITH API KEY'
config.api_secret = 'REPLACE WITH API SECRET'
api_instance = MParticle::EventsApi.new(config)
The EventsAPI class exposes two interfaces:
bulk_upload_events
- Accepts up to 100 Batch
objects for up to 100 users.upload_events
- Accepts a single Batch
object for a single userbegin
# you can also send multiple batches at a time to decrease the amount of network calls
thread = api_instance.upload_events(batch) { |data, status_code, headers|
if status_code == 202
puts "Upload complete"
end
}
# wait for the thread, if needed to prevent the process from terminating
thread.join
# alternately, you can omit the callback and synchronously wait until the network request completes
data, status_code, headers = api_instance.upload_events(batch)
rescue MParticle::ApiError => e
puts "Exception when calling mParticle: #{e}"
end
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