Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
Platform API Overview
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Getting Started
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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
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Segment-to-mParticle Migration Reference
Rules Developer Guide
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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
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Analyses Introduction
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For Clauses
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Dashboards––Getting Started
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IDSync Overview
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Components of IDSync
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Introduction
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CSV File Reference
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Setup Examples
Introduction
Introduction
Introduction
Rudderstack
Google Tag Manager
Segment
Advanced Data Warehouse Settings
AWS Kinesis (Snowplow)
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BigQuery (Snowplow Schema)
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BigQuery (Define Your Own Schema)
GCP BigQuery Export
Snowflake (Snowplow Schema)
Snowplow Schema Overview
Snowflake (Define Your Own Schema)
Aliasing
Event
Event
Audience
Audience
Event
Feed
Event
Cookie Sync
Audience
Audience
Audience
Audience
Event
Feed
Event
Event
Audience
Event
Data Warehouse
Event
Event
Event
Event
Audience
Event
Feed
Event
Event
Event
Event
Event
Audience
Event
Event
Feed
Event
Event
Audience
Feed
Event
Event
Event
Custom Feed
Data Warehouse
Event
Event
Audience
Audience
Audience
Event
Audience
Event
Event
Event
Event
Event
Audience
Audience
Event
Audience
Data Warehouse
Event
Event
Cookie Sync
Audience
Event
Event
Event
Event
Event
Feed
Feed
Event
Event
Event
Audience
Event
Event
Audience
Event
Event
Event
Audience
Feed
Audience
Event
Event
Audience
Audience
Event
Audience
Audience
Event
Audience
Event
Event
Event
Event
Event
Feed
Event
Event
Event
Event
Audience
Feed
Event
Event
Event
Event
Event
Event
Event
Feed
Audience
Event
Event
Custom Pixel
Feed
Event
Event
Event
Event
Event
Audience
Event
Event
Event
Data Warehouse
Event
Audience
Audience
Audience
Audience
Event
Audience
Audience
Cookie Sync
Event
Feed
Event
Audience
Event
Audience
Audience
Event
Event
Event
Event
Cookie Sync
Audience
Cookie Sync
Audience
Feed
Audience
Event
Flurry provides analytics and advertising solutions. Their analytics services include demographic, traffic source, and event reporting.
Flurry has limits around the number of unique event names and attributes their platform can process as noted here: https://developer.yahoo.com/flurry/docs/analytics/gettingstarted/events/ios/
In order to activate mParticle’s integration with Flurry, you will need the Flurry Project API Key for each app that you’d like to setup.
All purchase events logged via mParticle’s eCommerce SDK methods will be forwarded to Flurry as though they were logged using Flurry’s logEvent or logEventWithParameters SDK methods.
All calls to mParticle’s logScreen SDK method will be forwarded to Flurry as Page Views - equivalent to a call to Flurry’s logPageView SDK method. The page name will match the screen name passed to the logScreen method.
All Screen Views that are automatically tracked by mParticle’s Android SDK will also be forwarded to Flurry as Page Views.
mParticle will forward all app events with an eventValue attribute as Timed Events to Flurry. You will need to manually manage the timing of the events that you’d like to measure.
By default, mParticle will forward the appropriate Device ID (IDFA on iOS and Android ID on Android) to Flurry as the User ID. Alternatively, if “Use CustomerId” is enabled, mParticle will use MPUserIdentityCustomerId (or its hash if “Hash CustomerId” is enabled) when available and the hash of device id otherwise.
If “Include user attributes” is enabled, mParticle will forward users’ $Age and $Gender attributes to Flurry, to enable demographic reporting.
If mParticle’s location tracking SDK functionality is enabled in your app, mParticle will forward location information to Flurry. The forwarded location data will correspond to the user’s location at the time that his/her app session ended (mParticle forwards event data to Flurry in batches that correspond to full user sessions).
| Setting Name | Data Type | Default Value | Description |
|---|---|---|---|
| API Key | string |
Your app’s Flurry Project API Key. |
| Setting Name | Data Type | Default Value | Platform | Description |
|---|---|---|---|---|
| Hash Customer ID | bool |
True | All | If enabled, mParticle will hash your users’ Customer ID values before forwarding them to Flurry. You should enable this if your Customer ID values contain PII (personally identifying information). Please note that if filtering is configured to exclude forwarding the Customer ID, this configuration parameter has no effect. |
| Track Geographic Location | bool |
True | All | If enabled, Flurry will track where your app is being used and report this back to you at the city level. Otherwise, Flurry will use the IP address of the user’s device and report this information at the country level. |
| Capture Exceptions | bool |
False | All | Used to allow the Flurry SDK to report uncaught exceptions |