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Upgrade to Version 2 of the SDK
Getting Started
Identity
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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
Node SDK
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Migrate from Segment to 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
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UTM Guide
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Apply All for Filter Where Clauses
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Understanding the Screen View Event
Analyses Introduction
Getting Started
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For Clauses
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Calculator
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Manage Analyses in Dashboards
Dashboards––Getting Started
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User Segments
IDSync Overview
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Components of IDSync
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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)
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
To get started with JavaScript, you can add an HTML script snippet to each page in your application. By default, this will start tracking Web Session and Page View events, and will allow you to start sending custom events.
The JavaScript SDK is great for client-side tracking and can be used in conjunction with our API to send server-side events.
Please note, the instructions in this section are only valid for sites that don’t use AMD (e.g. require.js).
First, you’ll need to asynchronously load our script into your site. Add this script in either your site’s
or tag:<script type="text/javascript">
(function(apiKey) {
var ind = document.createElement('script');
ind.src = '//cdn.indicative.com/js/1.0.2/Indicative.min.js';
ind.type = 'text/javascript';
ind.async = 'true';
var ind_init = false;
ind.onload = ind.onreadystatechange = function() {
var rs = this.readyState;
if (ind_init || (rs && rs != 'complete' && rs != 'loaded')) return;
ind_init = true;
Indicative.initialize(apiKey);
Indicative.buildEvent('Page View');
};
var s = document.getElementsByTagName('script')[0];
s.parentNode.insertBefore(ind, s);
})("YOUR_API_KEY_GOES_HERE");
</script>
This script tag asynchronously loads Indicative.js from our CDN and initializes the JavaScript code with your unique API key. You will need to set your API key in quotes where it says “YOUR_API_KEY_GOES_HERE”. You can find a list of all of your projects and appropriate API keys here.
To choose between your site’s
or tags, note the pros and cons of each. The tag will allow you to access the Analytics object earlier (on load), however your site will not load until everything in the tag is loaded. So, if you do not need the Analytics object immediately, we recommend putting this snippet in the tag.If you would like a version of the script that does not ask require.js, please reach out to support@mparticle.com.
requirejs.config({ paths: { Indicative: '//cdn.indicative.com/js/1.0.2/Indicative.min', }});define(['Indicative'], function (Indicative) { Indicative.initialize('5b440efe-603a-494d-8c89-4c55a4d489f6'); Indicative.buildEvent('Page View');});
Recording an event is easy and customizable. It can be as simple as:
Indicative.buildEvent('event-name');
The above line will build and send an event named ‘event-name’ with a unique ID set as a random UUID.
You can also add your own user IDs and important properties to every event to further enrich your data for more impactful analyses like in the example below.
Indicative.buildEvent('Purchase', 'unique-user-id', { billing_status: 'Premium', payment_plan: 'Annual'});
Some properties may be stored as a persistent cookie, so that every page can share some common properties or unique ID instead of explicitly passing them every time you build an event. Additionally, Indicative automatically tracks some properties by default; learn more.
Open up the Debug Console in Analytics to view all incoming events. You should expect to see your data in Analytics
For advanced JavaScript settings, please refer to our documentation.
For a full list of our Analytics Object API, please click here.
Indicative also allows callbacks, which will be fired after a successful or unsuccessful stat post. You can include a callback function in any of the buildEvent methods, like so:
var callbackFn = function () {
console.info("callback!");
};
Indicative.buildEvent('event-name', callbackFn);
Indicative.buildEvent('event-name', 'unique-user-id', callbackFn);
Indicative.buildEvent('event-name', 'unique-user-id', {propertyName: 'propertyValue'}, callbackFn);
Indicative.buildEvent('event-name', {propertyName: 'propertyValue'}, callbackFn);
With so many different ways to build an event, you’ll have a lot of flexibility to build and send any custom events you need. For further references, refer to the Analytics object API table below.
We allow you to set stateful variables across every page. Stateful variables are stored as a persistent cookie, so every page will be able to share the same common properties and a uniqueID for the user triggering events on your site. Anywhere in your JavaScript, after Analytics was initialized, call:
Indicative.setUniqueID("unique-user-id");
This will allow you to log events without having to refer to a unique ID every time you build an event. Analytics also allows for stateful properties, as well, which can be added with the following calls:
Indicative.addProperty('propertyName', 'propertyValue');
Indicative.addProperties({propertyName: 'propertyValue', propertyName2: 'propertyValue2'});
Indicative.addProperties([{propertyName: 'propertyValue'}, {propertyName2: 'propertyValue2'}]);
These properties will be appended to subsequent event calls. They will not override the properties passed into a buildEvent call, rather append to the list of properties. If a common property isn’t applicable anymore, call:
Indicative.removeProperty('propertyName');
This will remove a single property. It’s just as easy to clear the entire common properties list:
Indicative.clearProperty();
Tracking href link clicks can be challenging, because once the page changes we lose our chance to fire an event. To solve this problem, we’ve added a callback to our build object. Use the following function to track link clicks and then send the user to the linked page:
function linkClick (event, linkName) {
var url = event.target.getAttribute('href');
console.info(event);
event.preventDefault();
Indicative.buildEvent("Link Click", {Link_Name: linkName}, function () {
console.info("go to site");
if (url) {
window.location = url;
}
});
}
To call this function in your HTML, set up a link like so:
<a onclick="linkClick(event, 'home')" href="home.html">Home</a>
We’ve implemented Web Sessions in our JavaScript SDK track users’ web sessions with just a slight change to one line of your code. If a user has no activity for 30 minutes (no events are fired locally), upon any new event activity, the JavaScript SDK will also fire a “Web Session” event to indicate the start of a new Web Session.
Note: The window of inactivity is customizable, but defaults to 30 minutes, with industry standards.
Where you see the line in this snippet:
Indicative.initialize(apiKey);
Alter it to read:
Indicative.initialize(apiKey, {recordSessions: true});
If you want to alter the inactive session length, change the line to be this instead:
Indicative.initialize(apiKey, {recordSessions: true, sessionsThreshold: 5});
where 5 signifies 5 minutes.
We automatically track the following properties:
We also automatically track marketing channels provided by UTM search parameters. You’ll be able to see the following properties if you have users loading your page with UTM properties in the URL: campaign_source,campaign_medium, campaign_term, campaign_content, and campaign_name. We will also provide these channel properties in their own section of the data panel, titled as User Properties - UTM (category).
We support tracking user sessions across various subdomains through the use of our SDK. If the option ‘cookiesOnMainDomain’ is set to true, it will store the cookie on the root domain.
Where you see this line in the snippet:
Indicative.initialize(apiKey);
Alter it to read:
Indicative.initialize(apiKey, {recordSessions: true, sessionsThreshold: 30, cookiesOnMainDomain: true });
Whenever the cookiesOnMainDomain option is set to true, it is recommended that you include the base domain name. If it is not set, our SDK will attempt to figure it out by taking the last two tokens of the domain name, and in some cases it may be invalid values (e.g. .com.mx).
To explicitly add the domain name, add the domainName to the initialization parameters.
Indicative.initialize(apiKey, {recordSessions: true, sessionsThreshold: 30, cookiesOnMainDomain: true, domainName: ‘example.com.mx’ })
Warning: Changing or enabling this option may break existing cookie tracking.
Analytics supports aliasing between anonymous IDs and user IDs to allow customers to unify event streams submitted with separate unique keys. Click here for a full walkthrough of Analytics’ aliasing protocol.
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