Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
Platform API Overview
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ComposeID
Warehouse Sync API v2 Migration
Bulk Profile Deletion API Reference
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Group Identity API Reference
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IDSync
AMP SDK
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Upgrade to Version 7
Getting Started
Identity
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Getting Started
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Getting Started
Identity
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API Reference
Upgrade to Version 2 of the SDK
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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Ruby SDK
Java SDK
Introduction
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Migrate from Segment to mParticle
Migrate from Segment to Client-side mParticle
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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
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mParticle Users and Roles
Analytics Free Trial
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Usage metering for value-based pricing (VBP)
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Sync and Activate Analytics User Segments in mParticle
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Events
Event Properties
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UTM Guide
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Query Builder Overview
Modify Filters With And/Or Clauses
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Apply All for Filter Where Clauses
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Understanding the Screen View Event
Analyses Introduction
Getting Started
Visualization Options
For Clauses
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Calculator
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Save Your Segmentation Analysis
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Explore Users from Segmentation
Getting Started with Funnels
Group By Settings
Conversion Window
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Visualization Options
Interpreting a Funnel Analysis
Group By
Filters
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Analyze as Cohort from Funnel
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Export Results from a Funnel
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Manage Analyses in Dashboards
Dashboards––Getting Started
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Query Notes in Dashboards
User Aliasing
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Analytics for Product Managers
Compare Conversion Across Acquisition Sources
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Time-based Subscription Analysis
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User Segments
IDSync Overview
Use Cases for IDSync
Components of IDSync
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Default IDSync Configuration
Profile Conversion Strategy
Profile Link Strategy
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Best Match Strategy
Aliasing
Overview
Create and Manage Group Definitions
Introduction
Catalog
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Blocked Data Backfill Guide
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Predictive Attributes Overview
Create Predictive Attributes
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Use Predictive Attributes in Campaigns
Introduction
Profiles
Warehouse Sync
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Data Subject Requests
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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
Snowplow Schema Overview
Snowflake (Snowplow Schema)
Snowflake (Define Your Own Schema)
Aliasing
The Journeys feature now allows analysis of your customer’s pathways starting with an ending event.
To analyze a customer’s journey by an ending event, select your single ending event which you want to analyze. From there, toggle the Starting With option and then select the Ending With option. By choosing the Ending With option, your customer journey will begin from an end event.
Note: The number displayed next to an event in Journeys is always the total amount of instances that event was performed.
In the query builder, you can filter an event to include or exclude users who meet certain criteria; for example if they have specific event property. To create a filter, you may only use event properties and there is no limit to the number of filters you can apply to a single query row.
The first filter you will encounter is the: is equal to clause. You may also filter in the following ways:
In order to analyze your Journeys query as a Funnel or Cohort, select the event you’d like to start with, and select the Analyze as Funnel/Cohort menu item. Then, you’ll be prompted to select an event in each subsequent step until you reach a singular customer journey. As you click on events the customer journey will be highlighted. When you reach the starting event, your customer journey will load into the Funnel tool, or the Cohort tool, depending on your selection.
The Reverse Journeys behave the same as regular Journeys. The difference is that they don’t move in chronological order, they move backwards. So its starting step will be the ending step on a regular Journey. A thing to keep in mind is that these reverse journeys are slower to run than regular journeys.
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