Documentation
Developers
API References
Data Subject Request API
Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
Platform API
Platform API Overview
Accounts
Apps
Audiences
Calculated Attributes
Data Points
Feeds
Field Transformations
Services
Users
Workspaces
Warehouse Sync API
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
Client SDKs
AMP
AMP SDK
Android
Initialization
Configuration
Network Security Configuration
Event Tracking
User Attributes
IDSync
Screen Events
Commerce Events
Location Tracking
Media
Kits
Application State and Session Management
Data Privacy Controls
Error Tracking
Opt Out
Push Notifications
WebView Integration
Logger
Preventing Blocked HTTP Traffic with CNAME
Linting Data Plans
Troubleshooting the Android SDK
API Reference
Upgrade to Version 5
Cordova
Cordova Plugin
Identity
Direct Url Routing
Direct URL Routing FAQ
Web
Android
iOS
iOS
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
Social Networks
iOS 14 Guide
iOS 15 FAQ
iOS 16 FAQ
iOS 17 FAQ
iOS 18 FAQ
API Reference
Upgrade to Version 7
React Native
Getting Started
Identity
Unity
Upload Frequency
Getting Started
Opt Out
Initialize the SDK
Event Tracking
Commerce Tracking
Error Tracking
Screen Tracking
Identity
Location Tracking
Session Management
Web
Initialization
Configuration
Content Security Policy
Event Tracking
User Attributes
IDSync
Page View Tracking
Commerce Events
Location Tracking
Media
Kits
Application State and Session Management
Data Privacy Controls
Error Tracking
Opt Out
Custom Logger
Persistence
Native Web Views
Self-Hosting
Multiple Instances
Web SDK via Google Tag Manager
Preventing Blocked HTTP Traffic with CNAME
Facebook Instant Articles
Troubleshooting the Web SDK
Browser Compatibility
Linting Data Plans
API Reference
Upgrade to Version 2 of the SDK
Xamarin
Getting Started
Identity
Web
Alexa
Server SDKs
Node SDK
Go SDK
Python SDK
Ruby SDK
Java SDK
Quickstart
Android
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
iOS Quick Start
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
Python Quick Start
Step 1. Create an input
Step 2. Create an output
Step 3. Verify output
Guides
Partners
Introduction
Outbound Integrations
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
Guides
Getting Started
Create an Input
Start capturing data
Connect an Event Output
Create an Audience
Connect an Audience Output
Transform and Enhance Your Data
Platform Guide
The New mParticle Experience
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)
Analytics
Introduction
Setup
Sync and Activate Analytics User Segments in mParticle
User Segment Activation
Welcome Page Announcements
Settings
Project Settings
Roles and Teammates
Organization Settings
Global Project Filters
Portfolio Analytics
Analytics Data Manager
Analytics Data Manager Overview
Events
Event Properties
User Properties
Revenue Mapping
Export Data
UTM Guide
Query Builder
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
Analyses Introduction
Segmentation: Basics
Getting Started
Visualization Options
For Clauses
Date Range and Time Settings
Calculator
Numerical Settings
Segmentation: Advanced
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
Funnels: Basics
Getting Started with Funnels
Group By Settings
Conversion Window
Tracking Properties
Date Range and Time Settings
Visualization Options
Interpreting a Funnel Analysis
Funnels: Advanced
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
Dashboards––Getting Started
Manage Dashboards
Dashboard Filters
Organize Dashboards
Scheduled Reports
Favorites
Time and Interval Settings in Dashboards
Query Notes in Dashboards
User Aliasing
Analytics Resources
The Demo Environment
Keyboard Shortcuts
Tutorials
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
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
Data Master
Group Identity
Overview
Create and Manage Group Definitions
Introduction
Catalog
Live Stream
Data Plans
Data Plans
Blocked Data Backfill Guide
Personalization
Predictive Attributes
Predictive Attributes Overview
Create Predictive Attributes
Assess and Troubleshoot Predictions
Use Predictive Attributes in Campaigns
Predictive Audiences
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
Import Data with CSV Files
CSV File Reference
Glossary
Video Index
Analytics (Deprecated)
Identity Providers
Single Sign-On (SSO)
Setup Examples
Introduction
Developer Docs
Introduction
Integrations
Introduction
Rudderstack
Google Tag Manager
Segment
Data Warehouses and Data Lakes
Advanced Data Warehouse Settings
AWS Kinesis (Snowplow)
AWS Redshift (Define Your Own Schema)
AWS S3 (Snowplow Schema)
AWS S3 Integration (Define Your Own 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)
Developer Basics
Aliasing
Analytics for Product Managers
PetBox is a fictional eCommerce company that sells monthly subscription boxes containing animal care products. In the accompanying PetBox app, subscribers can track and customize their monthly boxes, view their box history, and purchase specific products they liked from their boxes. In addition, non-subscribers have access to features such as PetCam, which allows them to watch their cats through connected webcams.
The product team at PetBox wants to increase the user activity this month and they think that PetCam can help with that goal. They will analyze their users and re-engage those users who have not used the PetCam since it was launched.
Goal
Understand whether users have tried out the PetCam.
Create a Target Segment
-
Create a user segment for all users who opened the PetBox app but have not opened PetCam since it was launched in Segmentation. Change Total count of to Users who performed. Select the Open App event from the data dropdown and select Open PetCam from the Did [not] Perform dropdown.
- Selecting an event from Did [not] Perform invokes the “For” clause. We use this clause to help us understand whether a user performed an action before/after the target event. We are also able to examine this action based on a specific date range. In this case, we selected did not do, between and used 03/01/xxxx to Today for our “For” clause date range as March 1st is when the PetCam was launched.
-
Since we are saving a user segment out of this query, we also want to open up the date range to 03/01/xxxx to Today so we can capture all of the users who have opened the app since the feature was released. This is your final query:
Note: The date ranges used have a static start date of 03/01/xxxx and a relative end date of Today. Using a dynamic date range enables us to examine only those who have not used the filters feature even at a later date but remember to save it as a user segment with a daily update cadence.
-
Below is the Create a User Segment modal. Name the segment and provide a description for future ease of use.
- Select a category or create a new one by typing the name in so you can easily find your user segment in the future.
- Toggle to Daily.
Analyze or Activate with this User Segment
Congratulations on creating the user segment. Let’s put it to good use.
Saving to the Dashboard to Track Trends
-
Analyze the ratio of users who have opened PetCam against those who have not opened PetCam using the calculator tool. First, create two queries: one filters for events performed by users within this segment and one filters for events performed by users who are not in this segment.
-
Now, we can use the calculator tool to calculate our ratio.
- After we run the query, we can save the line chart to a dashboard as one widget and the average as a separate metric widget. Now you can track this ratio on your dashboard.
Export your users to send targeted notifications
You can export your users to engage with them outside of Analytics in one of two ways:
-
Download a CSV and upload it to your marketing tools.
- Connect to our Segments API (available for Pro and Enterprise users) to make API calls to your automation tools.
This tutorial shows just a few of the ways you can use Analytics to analyze your data and achieve actionable insights from it. If you have any questions or comments, please reach out to support@mparticle.com.
Was this page helpful?
- Last Updated: November 12, 2024