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Getting Started
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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
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
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Create an Input
Start capturing data
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Introduction
Introduction
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Snowflake (Define Your Own Schema)
Aliasing
The mParticle SDK automatically monitors the “application state” of your app and forwards data to mParticle via a dedicated event type called Application State Transition (AST). Each AST event includes a transition_type
property, describing the state change.
The transition types for the Android SDK are:
application_initialized
: The application has been opened by the user.application_exit
: The user has closed the application.application_background
: The user has moved the app to background, but it is still open.application_foreground
: The user has brought the app back to the foreground.One of the main uses of AST events is to track when a user installs or upgrades your app. Each output integration handles app installation tracking differently: some partners simply infer that the app was installed when they first begin to receive data with a Device ID that hasn’t been seen previously while others receive a specific install
event.
AST events with type application_initialized
include two boolean properties to help track installs:
is_first_run
is_upgrade
mParticle uses these properties to determine how to forward AST events to your connected outputs.
By default, the is_first_run
and is_upgrade
properties discussed above are automatically detected and set by mParticle.
However, if you have your own criteria you want to use to define installs and upgrades, you can manually set the “install type” in the MParticleOptions
object when you initialize the SDK.
The install type options are:
MParticle.InstallType.KnownInstall
MParticle.InstallType.KnownUpgrade
MParticle.InstallType.AutoDetect
(default)MParticleOptions options = MParticleOptions.builder(this)
.credentials("REPLACE ME WITH KEY","REPLACE ME WITH SECRET")
.installType(MParticle.InstallType.KnownInstall)
.build();
MParticle.start(options);
MParticleOptions.builder(this).run {
credentials("REPLACE ME WITH KEY", "REPLACE ME WITH SECRET")
installType(MParticle.InstallType.KnownInstall)
build()
}.let {
MParticle.start(it)
}
ASTs with type application_initialized
have a successfully closed
parameter which tracks whether the previous user session was successfully closed. This parameter helps mParticle to successfully record sessions when users force quit the app. See Force Quit for more.
The mParticle platform tracks user sessions. Sessions track a common pattern, in which a given user opens an app and interacts with it for a period of time, then moves on to another app, or stops using their device. Various Output partners use sessions to group user interactions. All events tracked during a session will also share a Session ID. The mParticle platform translates the sessions it detects into a consumable format for each Output partner.
The mParticle SDKs provide APIs to allow you to customize the measurement of sessions.
When a user launches your app, the mParticle SDK will begin a new session. This session is maintained for as long as your app is in the foreground and all events logged during this time will be associated with the session.
If a user navigates away, or sends your app to the background, the SDK starts a timer to expire the current session. If the user brings your app back to the foreground before the session times out, the same session is continued. Otherwise, the session will expire and a new session will begin the next time the app is used.
By default, the session timeout is 60 seconds, but can be customized.
Session timeout can be customized by setting setSessionTimeout
.
//set the session production timeout in seconds
MParticle.getInstance().setSessionTimout(60);
We’ve observed a common pattern where users launch an app, interact with it, and then forcibly terminate the app, rather than allowing it to remain in the background. The mParticle SDK handles this situation gracefully.
When an app is terminated before a session had the chance to end itself, the SDK will end that session and start a new one the next time the app is launched.
The SDK logs when an app is launched, sent to the background, resumed to the foreground, and/or terminated. Those state transitions are not only sent to the server, but also they help to identify user sessions.
You can associate attributes with a session. When the user’s session ends, or times out, these attributes will be reset.
You can also increment numeric session attributes by a certain amount. For example, if a user is listening to music on her device, you may choose to increment the song count by 1 every time a new song starts playing.
MParticle.getInstance().setSessionAttribute("level_achieved", "11");
//increment a session attribute by an integer value
MParticle.getInstance().incrementSessionAttribute("level_achieved", 1);
If you use embedded kits, keep in mind that most kits perform their own session and install tracking, independently of mParticle. While it is impossible to guarantee that session times will match between mParticle and a kit partner, you can sometimes tweak the kit settings to help sessions line up. For example, the Braze kit provides a session timeout setting that works similarly to mParticle’s own, and you may wish to set it to match your mParticle session timeout.
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