Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
Platform API Overview
Accounts
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Audiences
Calculated Attributes
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Warehouse Sync API Overview
Warehouse Sync API Tutorial
Warehouse Sync API Reference
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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
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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
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Error Tracking
Opt Out
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iOS 14 Guide
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API Reference
Upgrade to Version 7
Upload Frequency
Getting Started
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Initialize the SDK
Event Tracking
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Location Tracking
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Opt Out
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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
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Analytics Data Manager Overview
Events
Event Properties
User Properties
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UTM Guide
Data Dictionary
Query Builder Overview
Modify Filters With And/Or Clauses
Query-time Sampling
Query Notes
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Event vs. User Properties
Group By Clauses
Annotations
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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
Visualization Options
For Clauses
Date Range and Time Settings
Calculator
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Properties Explorer
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Did [not] Perform Clauses
Cumulative vs. Non-Cumulative Analysis 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
Conversion Window
Tracking Properties
Date Range and Time Settings
Visualization Options
Interpreting a Funnel Analysis
Group By
Filters
Conversion over Time
Conversion Order
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Analyze as Cohort from Funnel
Save a Funnel Analysis
Explore Users from a Funnel
Export Results from a Funnel
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Manage Analyses in Dashboards
Dashboards––Getting Started
Manage Dashboards
Organize Dashboards
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Query Notes in Dashboards
User Aliasing
The Demo Environment
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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
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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
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
Every query requires you to select a date range. In Funnel, the date range refers to the time period during which a user completes the first step of the funnel, or when a user “entered the funnel.” All new queries default to Last 7 Days. To open the date range selector dropdown, select “Entered Funnel: Last 7 Days.” The start date is the first day to be included in the search. The end date is the last day.
In Funnel, you may choose a date range for only the first step or you may choose a unique date range for each step. All new queries default to “First Step.” Once a user enters the funnel, they may complete the subsequent steps at any time after the first step.
If you select “Individual Steps,” you may select a different date range for each step of the funnel. If a user does not complete the event during the selected date range, then the user will not appear in count of users for that step and they will be considered “not converted.” Date ranges for individual steps are selected within each row of the query builder.
To set fixed start and end dates, use the date range selector on the left side of the dropdown, you may choose a start date and end date from the calendar. You can also enter a specific date by selecting the date at the top of the selector and entering a value. Use the left and right arrows to navigate the calendar. Tick the “Today” checkbox to create a dynamic end date.
The right side of the dropdown lists all of the dynamic date ranges that are available. You may choose a dynamic date range, for example “Last 7 Days” or “Last Full Month.” This will automatically update the date range of your query each time you view it, counting backwards from today. If you select “Last Full Week,” then Analytics will analyze the most recent complete week, defined as Monday to Sunday. If you select “Last Full Month,” then Analytics will analyze the most recent complete month. You can q…
To save a custom date range, for example “Last 45 Days,” simply select “Add Custom Date Range” in the lower right corner of the dropdown. Your previously used custom date ranges will be saved for future use and are viewable alongside the default dynamic date ranges.
Note: Custom relative date ranges are saved within each individual user’s account, rather than for all users across a particular project.
A Conversion Limit is a type of time-based filter. Users must complete the steps in the funnel within a defined time limit. The time limit is applied to either the entire funnel or on a per-step basis. All new queries default to Unlimited. For a full explanation, see our article on Conversion Limits.
You may adjust the precision of your Funnel query using the Conversion Precision setting. In a sequential funnel, events in the must occur in sequential order. In an approximate funnel, events may occur simultaneously. All new queries default to Sequential. For a full explanation, see our article on Conversion Precision.
The Average Conversion Time is displayed in the top left corner of the results field. It describes the amount of time that it took converted users to complete all of the steps of a funnel. Only users who complete all of the funnel steps are included in the average conversion time calculation. Median conversion time is not available. To increase the accuracy of your average conversion time, consider using a conversion limit to exclude outliers.
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