Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
Platform API Overview
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Upgrade to Version 5
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Web
Android
iOS
Initialization
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Upgrade to Version 7
Getting Started
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Upgrade to Version 2 of the SDK
Getting Started
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Alexa
Node SDK
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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
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
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Activity
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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
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Analytics Data Manager Overview
Events
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UTM Guide
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Query Builder Overview
Modify Filters With And/Or Clauses
Query-time Sampling
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Filter Where Clauses
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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
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For Clauses
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Calculator
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Frequency 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
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Interpreting a Funnel Analysis
Group By
Filters
Conversion over Time
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Analyze as Cohort from Funnel
Save a Funnel Analysis
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Manage Analyses in Dashboards
Dashboards––Getting Started
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Identify Points of User Friction
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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
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Best Match Strategy
Aliasing
Overview
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Introduction
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Blocked Data Backfill Guide
Predictive Attributes Overview
Create Predictive Attributes
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Use Predictive Attributes in Campaigns
Predictive Audiences Overview
Using Predictive Audiences
Introduction
Profiles
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Data Subject Requests
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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
Segment and mParticle enable you to associate data with users and their devices via similar identify concepts.
HTTP Endpoint: POST https://api.segment.io/v1/identify
{
"userId": "019mr8mf4r",
"traits": {
"email": "pgibbons@example.com",
"name": "Peter Gibbons"
},
"context": {
"ip": "24.5.68.47"
},
"timestamp": "2012-12-02T00:30:08.276Z"
}
//Android SDK
Analytics.with(context)
.identify("019mr8mf4r", new Traits()
.putName("Peter Gibbons")
.putEmail("pgibbons@example.com"));
//iOS SDK
Analytics.shared()
.identify("019mr8mf4r",
traits: ["email": "pgibbons@example.com", "name": "Peter Gibbons"])
//iOS SDK
[[SEGAnalytics sharedAnalytics] identify:@"019mr8mf4r"
traits:@{ @"name": @"Peter Gibbons",
@"email": @"pgibbons@example.com"}];
In addition to identify
, mParticle also supports login
, logout
, and modify
. Reference the code below for a basic migration guide, and navigate to the mParticle Identity Guide to learn more.
HTTP Endpoint: POST https://identity.mparticle.com/v1/identify
{
"user_identities": {
"customer_id": "019mr8mf4r",
"email": "pgibbons@example.com"
},
"user_attributes": {
"name": "Peter Gibbons"
},
"ip": "24.5.68.47",
"timestamp_unixtime_ms":1634262037939,
"environment": "production"
}
//Android SDK
val request = IdentityApiRequest.withEmptyUser().run {
email("pgibbons@example.com")
customerId("019mr8mf4r")
build()
}
MParticle.getInstance().Identity().identify(request)
val currentUser = MParticle.getInstance().Identity().currentUser
currentUser?.setUserAttribute("name", "Peter Gibbons")
//Android SDK
IdentityApiRequest request = IdentityApiRequest.withEmptyUser()
.email("pgibbons@example.com")
.customerId("019mr8mf4r")
.build();
MParticle.getInstance().Identity().identify(request);
MParticleUser currentUser = MParticle.getInstance().Identity().getCurrentUser();
currentUser.setUserAttribute("name", "Peter Gibbons");
//iOS SDK
var identityRequest = MPIdentityApiRequest.withEmptyUser()
identityRequest.email = "pgibbons@example.com"
identityRequest.customerId = "019mr8mf4r"
MParticle.sharedInstance().identity.identify(request, completion: identityCallback)
//iOS SDK
MPIdentityApiRequest *request = [MPIdentityApiRequest requestWithEmptyUser];
request.email = @"pgibbons@example.com";
request.customerId = @"019mr8mf4r";
[[[MParticle sharedInstance] identity] identify:request
completion:identityCallback];
Segment supports a single track
call that accepts only one event structure, while mParticle has both a generic Custom Event and several pre-defined structures for different domains such as Commerce. These features allow mParticle to more deterministically map data to downstream integrations.
HTTP Endpoint: POST https://api.segment.io/v1/track
{
"userId": "019mr8mf4r",
"event": "Item Purchased",
"properties": {
"name": "Leap to Conclusions Mat",
"revenue": 14.99
},
"context": {
"ip": "24.5.68.47"
},
"timestamp": "2012-12-02T00:30:12.984Z"
}
//Android SDK
Analytics.with(context)
.identify("019mr8mf4r", new Traits()
.putName("Peter Gibbons")
.putEmail("pgibbons@example.com"));
//iOS SDK
Analytics.shared()
.identify("019mr8mf4r",
traits: ["email": "pgibbons@example.com", "name": "Peter Gibbons"])
//iOS SDK
[[SEGAnalytics sharedAnalytics] identify:@"019mr8mf4r"
traits:@{ @"name": @"Peter Gibbons",
@"email": @"pgibbons@example.com"}];
HTTP Endpoint: POST https://s2s.mparticle.com/v2/events
The following examples illustrate two core event types: Custom Event and Commerce Event. Depending on the type of event that you’re migrating from your Segment track
call, use either a custom event or a commerce event:
{
"user_identities": {
"customer_id": "019mr8mf4r"
},
"events": [
{
"data": {
"event_name": "clicked button",
"custom_attributes": {
"button_name": "home"
}
},
"event_type": "custom_event"
},
{
"data": {
"product_action": {
"action": "purchase",
"total_amount": 14.99,
"products": [
{
"name": "Leap to Conclusions Mat"
}
]
},
"custom_attributes": {}
},
"event_type": "commerce_event"
}
],
"ip": "24.5.68.47",
"timestamp_unixtime_ms": 1634262037939,
"environment": "production"
}
//Android SDK
//Custom Event
val customAttributes = mapOf(
"category" to "Destination Intro",
"title" to "Paris"
)
val event = MPEvent.Builder("Video Watched", EventType.Navigation)
.customAttributes(customAttributes)
.build()
MParticle.getInstance().logEvent(event)
//Commerce Event
// 1. Create the products
val product = Product.Builder("Double Room - Econ Rate", "econ-1", 100.00)
.quantity(4.0)
.build()
// 2. Summarize the transaction
val attributes = TransactionAttributes("foo-transaction-id")
.setRevenue(430.00)
.setTax(30.00)
// 3. Log the purchase event
val event = CommerceEvent.Builder(Product.PURCHASE, product)
.transactionAttributes(attributes)
.build()
MParticle.getInstance().logEvent(event)
//Android SDK
//Custom Event
Map<String, String> customAttributes = new HashMap<String, String>();
customAttributes.put("category", "Destination Intro");
customAttributes.put("title", "Paris");
MPEvent event = new MPEvent.Builder("Video Watched", EventType.Navigation)
.customAttributes(customAttributes)
.build();
MParticle.getInstance().logEvent(event);
//Commerce Event
// 1. Create the products
Product product = new Product.Builder("Double Room - Econ Rate", "econ-1", 100.00)
.quantity(4.0)
.build();
// 2. Summarize the transaction
TransactionAttributes attributes = new TransactionAttributes("foo-transaction-id")
.setRevenue(430.00)
.setTax(30.00);
// 3. Log the purchase event
CommerceEvent event = new CommerceEvent.Builder(Product.PURCHASE, product)
.transactionAttributes(attributes)
.build();
MParticle.getInstance().logEvent(event);
//iOS SDK
//Custom Event
if let event = MPEvent(name: "Video Watched", type: MPEventType.navigation) {
event.customAttributes = ["category": "Destination Intro", "title": "Paris"]
MParticle.sharedInstance().logEvent(event)
}
//Commerce Event
// 1. Create the products
let product = MPProduct.init(name: "Foo name",
sku: "Foo sku",
quantity: 4,
price: 100.00)
// 2. Summarize the transaction
let attributes = MPTransactionAttributes.init()
attributes.transactionId = "foo-transaction-id"
attributes.revenue = 430.00
attributes.tax = 30.00
// 3. Log the purchase event
let action = MPCommerceEventAction.purchase;
let event = MPCommerceEvent.init(action: action, product: product)
event.transactionAttributes = attributes
MParticle.sharedInstance().logEvent(event)
//iOS SDK
//Custom Event
MPEvent *event = [[MPEvent alloc] initWithName:@"Video Watched"
type:MPEventTypeTransaction];
event.customAttributes = @{@"category":@"Destination Intro",
@"title":@"Paris"};
[[MParticle sharedInstance] logEvent:event];
//Commerce Event
// 1. Create the products
MPProduct *product = [[MPProduct alloc] initWithName:@"Double Room - Econ Rate"
sku:@"econ-1"
quantity:@4
price:@100.00];
// 2. Summarize the transaction
MPTransactionAttributes *attributes = [[MPTransactionAttributes alloc] init];
attributes.transactionId = @"foo-transaction-id";
attributes.revenue = @430.00;
attributes.tax = @30.00;
// 3. Log the purchase event
MPCommerceEventAction action = MPCommerceEventActionPurchase;
MPCommerceEvent *event = [[MPCommerceEvent alloc] initWithAction:action
product:product];
event.transactionAttributes = attributes;
[[MParticle sharedInstance] logEvent:event];
You can migrate Segment page
calls to the mParticle screen_view
event type.
HTTP Endpoint: POST https://api.segment.io/v1/page
{
"userId": "019mr8mf4r",
"name": "Example page call",
"properties": {
"foo": "bar"
},
"timestamp": "2012-12-02T00:31:29.738Z"
}
//Android SDK
Analytics.with(context).screen("Smartwatches", "Purchase Screen",
Properties().putValue("sku", "13d31"))
//Android SDK
Analytics.with(context)
.screen("Smartwatches", "Purchase Screen",
new Properties().putValue("sku", "13d31"));
//iOS SDK
Analytics.shared().screen("Photo Feed", properties: ["Feed Type": "private"])
//iOS SDK
[[SEGAnalytics sharedAnalytics] screen:@"Photo Feed"
properties:@{ @"Feed Type": @"private" }];
HTTP Endpoint: POST https://s2s.mparticle.com/v2/events
{
"user_identities": {
"customer_id": "019mr8mf4r"
},
"events": [
{
"data": {
"event_name": "Example screen view",
"custom_attributes": {
"foo": "bar"
}
},
"event_type": "screen_view"
}
],
"timestamp_unixtime_ms": 1634262037939,
"environment": "production"
}
//Android SDK
val screenInfo = HashMap<String, String>()
screenInfo["rating"] = "5"
screenInfo["property_type"] = "hotel"
MParticle.getInstance().logScreen("Destination Details", screenInfo)
//Android SDK
Map<String, String> screenInfo = new HashMap<String, String>();
screenInfo.put("rating", "5");
screenInfo.put("property_type", "hotel");
MParticle.getInstance().logScreen("Destination Details", screenInfo);
//iOS SDK
let screenInfo = ["rating": "5", "property_type": "hotel"];
MParticle.sharedInstance().logScreen("Destination Details", eventInfo: screenInfo)
//iOS SDK
NSDictionary *screenInfo = @{@"rating":@"5",
@"property_type":@"hotel"};
[[MParticle sharedInstance] logScreen:@"Destination Details"
eventInfo:screenInfo];
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