You can't fix what you can't measure
Analytics helps you measure your users, product, and business. It unlocks insights into your app's funnel, core business metrics, and whether you have product-market fit.
- Collect analytics data from your app(s).
- The top 200 Segment companies collect data from 5+ source types (web, mobile, server, CRM, etc.).
- Send the data to analytics tools (for example, Google Analytics, Amplitude, Mixpanel).
- Over 250+ Segment companies send data to eight categories of destinations such as analytics tools, warehouses, email marketing and remarketing systems, session recording, and more.
- Explore your data by creating metrics (for example, new signups, retention cohorts, and revenue generation).
- The best Segment companies use retention cohorts to measure product market fit. Netflix has 70% paid retention after 12 months, 30% after 7 years.
Segment collects analytics data and allows you to send it to more than 250 apps (such as Google Analytics, Mixpanel, Optimizely, Facebook Ads, Slack, Sentry) just by flipping a switch. You only need one Segment code snippet, and you can turn integrations on and off at will, with no additional code. Sign up with Segment today.
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Power all your analytics apps with the same data. Instead of writing code to integrate all of your tools individually, send data to Segment, once.
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Install tracking for the last time. We're the last integration you'll ever need to write. You only need to instrument Segment once. Reduce all of your tracking code and advertising tags into a single set of API calls.
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Send data from anywhere. Send Segment data from any device, and we'll transform and send it on to any tool.
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Query your data in SQL. Slice, dice, and analyze your data in detail with Segment SQL. We'll transform and load your customer behavioral data directly from your apps into Amazon Redshift, Google BigQuery, or Postgres. Save weeks of engineering time by not having to invent your own data warehouse and ETL pipeline.
For example, you can capture data on any app:
analytics.track('Order Completed', { price: 99.84 })
Then, query the resulting data in SQL:
select * from app.order_completed order by price desc
In this tutorial you'll add your write key to this Angular demo app to start sending data from the app to Segment, and from there to any of our destinations, using our Analytics.js library. Once your app is set up, you'll be able to turn on new destinations with the click of a button! Ready to try it for yourself? Scroll down to the demo section and run the app!
Start sending data from any source and see events live in the Segment debugger:
Once you have data being sent to Segment, forward this data to any of our 250+ destinations:
How do you get this in your own Angular app? Follow the steps below.
To install Segment in your own app first sign up with Segment and locate your Segment project's Write Key.
Then, copy and paste the snippet below into the head tag of your site. Replace YOUR_WRITE_KEY in the snippet below with your Segment project's write key.
Tip! You can find your write key in your Segment project setup guide or settings.
<script type="text/javascript">
!function(){var analytics=window.analytics=window.analytics||[];if(!analytics.initialize)if(analytics.invoked)window.console&&console.error&&console.error("Segment snippet included twice.");else{analytics.invoked=!0;analytics.methods=["trackSubmit","trackClick","trackLink","trackForm","pageview","identify","reset","group","track","ready","alias","debug","page","once","off","on"];analytics.factory=function(t){return function(){var e=Array.prototype.slice.call(arguments);e.unshift(t);analytics.push(e);return analytics}};for(var t=0;t<analytics.methods.length;t++){var e=analytics.methods[t];analytics[e]=analytics.factory(e)}analytics.load=function(t,e){var n=document.createElement("script");n.type="text/javascript";n.async=!0;n.src="https://cdn.segment.com/analytics.js/v1/"+t+"/analytics.min.js";var a=document.getElementsByTagName("script")[0];a.parentNode.insertBefore(n,a);analytics._loadOptions=e};analytics.SNIPPET_VERSION="4.1.0";
analytics.load("YOUR_WRITE_KEY");
// analytics.page() // Uncomment if your application is NOT an SPA
}}();
</script>Typescript cannot identify the analytics property on the window object. To use window.analytics in your app, you need to re-declare the global variable that extends window.
In our example app, we put the following declaration in app.module.ts:
declare global {
interface Window { analytics: any; }
}Now window.analytics is loaded and available to use throughout your app!
In the next sections you'll build out your implementation to track page loads, to identify individual users of your app, and track the actions they take.
Tip! If your Angular application is not a Single Page application, you can uncomment the section in the above snippet and skip to Step 3.
The snippet from Step 1 loads Analytics.js into your app and is ready to track page loads. However, most Angular apps are a Single Page App (SPA), and in SPAs clicking a link or a new tab does not reload the whole webpage.
The page method lets you record page views on your website, along with optional information about the page being viewed. You can read more about how this works in the page reference.
This means that using analytics.page() in index.html on a SPA will not detect page component loads, and you'll need to simulate a page load some other way. You can use Angular's in-house routing and lifecycle hooks to create page calls.
If you separate your pages into their own components and allow the RouterOutlet component to handle when the page renders, you can use ngOnInit to invoke page calls. The example below shows one way you could do this.
@Component({
selector: 'app-home',
templateUrl: './home.component.html',
styleUrls: ['./home.component.css']
})
export class HomeComponent implements OnInit {
ngOnInit() {
window.analytics.page('Home');
}
}The identify method is how you tell Segment who the current user is. It includes a unique User ID and any optional traits you can pass on about them. You can read more about this in the identify reference.
Note: You don't need to call identify for anonymous visitors to your site. Segment automatically assigns them an anonymousId, so just calling page and track still works just fine without identify.
Here's what a basic call to identify might look like:
window.analytics.identify('f4ca124298', {
name: 'Michael Bolton',
email: 'mbolton@initech.com'
});This call identifies Michael by his unique User ID and labels him with name and email traits.
In Angular, if you have a form where users sign up or log in, you can use the (ngSubmit) handler to call identify, as in the example below:
@Component({
selector: 'app-identify-form',
template: `
<form #f="ngForm" (ngSubmit)="onSubmit(f)">
<input name="name" type="text" ngModel required>
<input name="email" type="email" ngModel required>
<input type="submit" value="Submit">
</form>
`
})
export class IdentifyFormComponent {
onSubmit(form: NgForm) {
// Add your own unique ID here or we will automatically assign an anonymousID
window.analytics.identify({
name: form.value.name,
email: form.value.email
});
}
}Tip! Other handlers might be better for other situations. You can see the Angular docs on event handlers for more information.
The track method is how you tell Segment about which actions your users are performing on your site. Every action triggers what we call an "event", which can also have associated properties. It is important to figure out exactly what events you want to track instead of tracking anything and everything. A good way to do this is to build a tracking plan. You can read more about track in the track reference.
Here's what a call to track might look like when a user bookmarks an article:
window.analytics.track('Article Bookmarked', {
title: 'Snow Fall',
subtitle: 'The Avalanche at Tunnel Creek',
author: 'John Branch'
});The snippet tells us that the user just triggered the Article Bookmarked event, and the article they bookmarked was the Snow Fall article authored by John Branch. Properties can be anything you want to associate to an event when it is tracked.
In Angular, you can use several event handlers, such as (click), (submit), (mouseenter), to call the track events. In the example below, we use the (click) handler to make a track call to log a User Signup.
@Component({
selector: 'app-signup-btn',
template: `
<button (click)="trackEvent()">
Signup with Segment today!
</button>
`
})
export class SignupButtonComponent {
trackEvent() {
window.analytics.track('User Signup');
}
}Tip! Other handlers might be better for other situations. You can see the Angular docs on event handlers for more information.
Lifecycle hooks are also great for tracking particular events, and in fact we used a lifecycle hook in Step 2 to track page component loads. For example, if you want to track components that are conditionally rendered from a parent component or a *ngIf conditional, then you can use ngOnInit to trigger a track event:
@Component({
selector: 'app-video-player',
template: `
<video autoplay>
<source src="https://www.youtube.com/watch?v=dQw4w9WgXcQ" type="video/youtube">
</video>
`
})
export class VideoPlayerComponent implements OnInit {
ngOnInit() {
window.analytics.track('Video Played');
}
}Tip! Other hooks might be better for other situations. You can see the Angular docs on lifecycle hooks for more information.
Transition components control when UI elements render. Transitions, such as @animation.start and @animation.done, are fired at different times during a component lifecycle. In this example, when the Toggle button is clicked, some text is rendered, and the @animation.done trigger fires a track event.
@Component({
selector: 'app-panel',
animations: [
trigger(
'animation', [
transition(':enter', [
style({ transform: 'translateX(100%)', opacity: 0 }),
animate('500ms', style({ transform: 'translateX(0)', opacity: 1 }))
]),
transition(':leave', [
style({ transform: 'translateX(0)', opacity: 1 }),
animate('500ms', style({ transform: 'translateX(100%)', opacity: 0 }))
])
]
)
],
template: `
<button (click)="show = !show">Toggle</button>
<div *ngIf="show" (@animation.done)="onAnimationEvent($event)">
Integrate with over 200+ destinations!
</div>
`
})
export class PanelComponent {
show: boolean = false;
onAnimationEvent(event: AnimationEvent) {
window.analytics.track('Destinations Info Toggled');
}
}Once you've added a few track calls, you're done! You've successfully installed Analytics.js tracking. Now you're ready to see your data in the Segment dashboard, and turn on any destination tools. 🎉
You may wondering what you can be doing with all the raw data you are sending to Segment from your Angular app. With our warehouses product, your analysts and data engineers can shift focus from data normalization and pipeline maintenance to providing insights for business teams. Having the ability to query data directly in SQL and layer on visualization tools can take your product to the next level.
A warehouse is a special subset of destinations where we load data in bulk at a regular intervals, inserting and updating events and objects while automatically adjusting their schema to fit the data you've sent to Segment. We do the heavy lifting of capturing, schematizing, and loading your user data into your data warehouse of choice.
Examples of data warehouses include Amazon Redshift, Google BigQuery, MySQL, and Postgres.
To start with this demo app, follow the instructions below:
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Sign up with Segment and edit the snippet in index.html to replace
YOUR_WRITE_KEYwith your Segment Write Key.Tip! You can find your key in your project setup guide or settings in the Segment.
Your snippet will look something like the example below.
<script type="text/javascript"> !function(){var analytics=window.analytics=window.analytics||[];if(!analytics.initialize)if(analytics.invoked)window.console&&console.error&&console.error("Segment snippet included twice.");else{analytics.invoked=!0;analytics.methods=["trackSubmit","trackClick","trackLink","trackForm","pageview","identify","reset","group","track","ready","alias","debug","page","once","off","on"];analytics.factory=function(t){return function(){var e=Array.prototype.slice.call(arguments);e.unshift(t);analytics.push(e);return analytics}};for(var t=0;t<analytics.methods.length;t++){var e=analytics.methods[t];analytics[e]=analytics.factory(e)}analytics.load=function(t,e){var n=document.createElement("script");n.type="text/javascript";n.async=!0;n.src="https://cdn.segment.com/analytics.js/v1/"+t+"/analytics.min.js";var a=document.getElementsByTagName("script")[0];a.parentNode.insertBefore(n,a);analytics._loadOptions=e};analytics.SNIPPET_VERSION="4.1.0"; analytics.load("YOUR_WRITE_KEY"); }}(); </script>
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From the command line, use
npm installto install the dependencies, thennpm startto run the app.npm install npm start
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Go to the Segment site, and in the Debugger look at the live events being triggered in your app. You should see the following:
- Page event:
Home- When someone views thehomepage. - Page event:
About- When someone views theaboutpage. - Track event:
Learn Angular Link Clicked- When someone clicks the "Learn Angular" link.
- Page event:
Congrats! You're seeing live data from your demo Angular app in Segment! 🎉
Check out our full Analytics.js reference to see what else is possible, or read about the Tracking API methods to get a sense for the bigger picture. If you have any questions, or see anywhere we can improve our documentation, let us know!