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2024-02-04T06:33:37.505Z
nova-2
2-general-nova
2024-01-09.29447
30089e05-99d1-4376-b32e-c263170674af
4cdd43b4-8d02-4c01-b3b4-7654da0cf6cd
cc855d2aed1b60d2d520e54c6a2e6540ec40b3eb8a12643414ab02945cd1a995
67875a7f-c9c4-48a0-aa55-5bdb8a91c34a
deprecated
One of the most powerful features in all of Firebase is its integration with Google Analytics.
In this video, I'll show you how to collect sophisticated data about the behavior of your users and then put that data to use to custom tailor the user experience and improve conversion rates for whatever product you sell on your app.
And if you're a web developer, I have great news because Firebase just recently added support for analytics on the web.
If you're new here, like and subscribe and check out the full lesson on Fireship IO.
What we're going to do today is enable Google Analytics in a Firebase project for the web, and then I'll show you how to log custom analytics events, and a JavaScript application.
Then we'll fast forward a couple days into the future after we've collected some data and use a service called Remote Config to custom tailor the user experience based on our analytics data.
Now if you're not already using Google Analytics in your Firebase project, you probably should be.
It's a free service that provides insight about the behavior of your users that will ultimately drive your decisions about marketing and the development of your app.
And when it comes to Firebase, your analytics data can enhance and unlock other features in the platform.
For example, you can tie your analytics data to your push notifications, allowing you to send the right notification to the right user at the right time.
And as we'll see in this video, it unlocks a feature that's new to the web called remote config.
It provides a way for you to read data related to your analytics directly in your app.
That means you can roll out experimental features to a subset Set up users, show conditional marketing campaigns, among a whole bunch of other possibilities.
Now let's go ahead and get started by setting up our web application with Firebase Analytics.
The process is slightly different depending on whether or not you already have a Google Analytics account and a Firebase project, so make sure to reference the official docs depending on your situation.
In my case, I had an existing Firebase project that was also already using Google Analytics.
So the process to enable Analytics in this project was to click this begin upgrade button that you'll see up here in the top right corner of the Analytics dashboard.
When you click this button, it will have you click through a few pages and then link your actual Google Analytics project.
When you finish the transfer process, it's going to make one small subtle change to your Firebase project settings.
If we go to the settings tab, you'll notice that we now have a measurement ID property in the Firebase config.
So if you have an existing app, you'll want to update this measurement ID in your Firebase config to get analytics working in your project.
Now I actually just set up Firebase Analytics in this project a couple days ago, And what you'll notice on the dashboard is that we're starting to get reporting on the daily, weekly, and monthly active users along with their locations, and all this reporting is now combined across iOS, Android, and the web.
Now by simply adding analytics to your project, you will collect a bunch of data automatically, things like the user's location, their operating system, browser, and stuff like that.
There's a bunch of different reports you can explore here, but my favorite one is stream view.
It allows you to see where your users are located on the map and who's using the app in real time.
Now let's go ahead and take a look at the actual setup for your typical JavaScript application.
We have a very basic setup here with an app dotjs and index HTML file.
Most developers will be using a framework like Angular, React, etcetera, which means you should have a package JSON file.
Inside that package, you'll want to make sure that you update Firebase to version 7 or greater.
Now, in this particular demo, we're using Firebase Hosting along with its magic script tags in the index HTML.
You'll notice they're using Firebase version 7, and I've imported Firebase Analytics as well as Firebase Remote Config.
Now if we jump into our actual JavaScript code, The first thing we'll want to do is initialize Firebase, making sure that we update our Firebase config with the new measurement ID.
Then from there, we'll call Firebase initialize app and then make a reference to Firebase Analytics.
These steps might look a little bit different depending on your setup, but that's the gist of it.
Update Firebase to version 7 and make a reference to Analytics.
So as a bare minimum, you could add Analytics to your project and get all of this nice reporting and insight about your users.
But the way you really maximize the insight you gain about your own specific app is to report custom events.
Now I'll just go ahead and set up a hypothetical example here in our code.
Let's say we have the sign in function, and its purpose is to sign the user in anonymously or with email password or Google login or something like that.
What we'd like to do is report that a login event has occurred.
So after the user signs in, we'll go ahead and extract the sign in method from the user credential, Then we can call analytics log event with the name of the event that we wanna log.
And then, optionally, as a second argument, we can pass an object with additional parameters for that event, which in this case will be the login method.
And it's also worth noting that login is actually a built in event in Google Analytics, so this technically isn't a custom event.
It's generally better to use a built in event if it fits your needs, so make sure to check out the Google Analytics reference for a full list of events.
But if you don't see the right event, it's perfectly okay to create your own custom event.
For example, imagine we're building a game, and we want to log a new game event to Analytics.
We call the same log event method and pass the string name of our event and then any optional parameters as the second argument as an object.
And that's really all there is to it when it comes to reporting events.
When you start collecting data, you'll be able to see that data in the events tab in the Firebase console.
You can optionally mark events as conversions, which would be something like an in app payment, which will help you manage your marketing efforts towards that specific event.
Now you can generate reports for these events and the custom parameters that you report, but the one thing worth noting here is that if you have a custom parameter, you'll need to register it in the Firebase console.
You'll want to click Edit Parameter Reporting and then find a built in parameter or use one of your custom parameters here.
And you'll also notice when you add the parameter, it will Ask you whether or not it's a text or number field.
Text would be used for discrete values or things that can be counted like labels, and then numbers would be for continuous values, things like length, time, and currency that can't be counted but can be averaged out.
Now if you're just getting started with Analytics, I would recommend going through your app and trying to find maybe 5 to 10 different events that you can report that you think would be useful to understanding the behavior of your users.
You don't need to go overboard with the number of events that you report quality is always better than quantity.
Now in a lot of cases, you have a distinct set of events that you expect the user Follow.
On the web, you might have a multistep form, and you want to record a separate event for each step in that form.
Once you have that done, you can come to the Funnels tab and analyze how well that funnel actually performs.
Essentially, you can connect one event to another to see how the user goes through those steps and see if there's a certain step where the user drops off or maybe one that is more likely to convert to a paying customer.
So now that we have some custom events flowing through the app, we likely want to segment those events to a smaller subset of users.
Let's head back over to the source code, and I'll show you how to set up something called a user property.
In most Firebase apps, you'll be listening to the current user with the on auth state change callback.
When you listen to the current user globally, You can set the current user ID by calling analytics set user ID with the user object from the auth state.
And this allows Analytics to collect information about a specific user across multiple sessions.
But you might have additional things going on about a user that you want to report to Analytics.
For example, you might use something like role based user access control, so you listen to the ID token, and that ID token will tell you whether or not that user is an admin user or a moderator or something along those lines, and then you can pass that data on to Analytics so it can segment your users based on this custom user property.
One way to think of this is that a user property defines what a user is while an event defines what a user does in the app.
And you can set the user properties by simply calling analytics set user properties with an object of the data that you wanna app.
Now when working with custom user properties, you'll want to go to the user properties tab and register those properties on the Firebase console, and all you need to do is enter the string name of the property.
The real benefit of user properties comes into play when you start building audiences.
Let's head over to the Audience tab and create a new audience.
Firebase will give you a bunch of hints with default audiences, but we'll just go ahead and create a custom one from scratch.
You can customize your audiences based on events and user properties.
What I wanna do here is create an audience of users that have triggered the login event but that have a user property of a pro membership that's canceled.
On FireShip, that would be a user that used to be a member but that is still using the site, so maybe they want to sign up again.
And if they do wanna sign up, we should probably offer some kind of discount code, and that's exactly the type of thing we can do with remote config.
Head over to the remote config tab and click add new parameter.
A parameter is essentially a key value pair, but the Actual value is activated based on some condition in your Analytics dataset.
In this case, we'll call it special discount, and then we'll add a new condition for a veteran FireShip user.
The first thing we'll do is set the app equal to our web app, And then we'll add a second condition that is equal to one of the user audiences that we created on the Firebase console.
And we could also add a bunch The extra conditions here as well if we wanted to segment it by region or by device, and we can even sample it to a smaller subset of random users.
For example, in this case, we'll only offer the discount to a lucky 50% of users.
And that feature happens to be especially useful if you're rolling out a new feature, but You don't want to roll it out to the entire user base all at once.
And another cool thing about remote config is that when you set up different conditions, you can reuse those conditions across multiple parameters.
If you go to the conditions tab, you can see all of your conditions there and update them across all parameters at the same time.
And now that we have some parameters, let's head back to our source code and see how we can put them to use in our JavaScript app.
We can reference remote config in the SDK by calling Firebase remote config, and then you can set a specific interval for how often it fetches the values from Remote Config.
It's not like the real time database or Firestore where it's constantly listening for updates, So just keep in mind that changes to Remote Config aren't instantaneous like they are in other Firebase services.
And it's also a good idea to set up a default config, which are just default values in case they can't be fetched from the Firebase servers.
From there, we'll call fetch and activate, which will actually retrieve the values from Firebase, and then it provides type safe getters that we can use to read the actual values from remote config.
So if we're expecting a string value, we can call remote config get string followed by the parameter name, and you can do the same thing for gitbooleannumberandso on.
If you're using a framework, you would likely retrieve these valued somewhere high up in the application like the app component during your initial life cycle hook, and that would allow you to conditionally render UI based on these remote config values.
I'm gonna go ahead and wrap things up there.
We barely just scratched the surface, but it is very awesome to finally see analytics and remote config available for Firebase, on the web that is.
Thanks for watching, and I will talk to you soon.

Speaker 0: One of the most powerful features in all of Firebase is its integration with Google Analytics. In this video, I'll show you how to collect sophisticated data about the behavior of your users and then put that data to use to custom tailor the user experience and improve conversion rates for whatever product you sell on your app. And if you're a web developer, I have great news because Firebase just recently added support for analytics on the web. If you're new here, like and subscribe and check out the full lesson on Fireship IO. What we're going to do today is enable Google Analytics in a Firebase project for the web, and then I'll show you how to log custom analytics events, and a JavaScript application.

Then we'll fast forward a couple days into the future after we've collected some data and use a service called Remote Config to custom tailor the user experience based on our analytics data. Now if you're not already using Google Analytics in your Firebase project, you probably should be. It's a free service that provides insight about the behavior of your users that will ultimately drive your decisions about marketing and the development of your app. And when it comes to Firebase, your analytics data can enhance and unlock other features in the platform. For example, you can tie your analytics data to your push notifications, allowing you to send the right notification to the right user at the right time.

And as we'll see in this video, it unlocks a feature that's new to the web called remote config. It provides a way for you to read data related to your analytics directly in your app. That means you can roll out experimental features to a subset Set up users, show conditional marketing campaigns, among a whole bunch of other possibilities. Now let's go ahead and get started by setting up our web application with Firebase Analytics. The process is slightly different depending on whether or not you already have a Google Analytics account and a Firebase project, so make sure to reference the official docs depending on your situation.

In my case, I had an existing Firebase project that was also already using Google Analytics. So the process to enable Analytics in this project was to click this begin upgrade button that you'll see up here in the top right corner of the Analytics dashboard. When you click this button, it will have you click through a few pages and then link your actual Google Analytics project. When you finish the transfer process, it's going to make one small subtle change to your Firebase project settings. If we go to the settings tab, you'll notice that we now have a measurement ID property in the Firebase config.

So if you have an existing app, you'll want to update this measurement ID in your Firebase config to get analytics working in your project. Now I actually just set up Firebase Analytics in this project a couple days ago, And what you'll notice on the dashboard is that we're starting to get reporting on the daily, weekly, and monthly active users along with their locations, and all this reporting is now combined across iOS, Android, and the web. Now by simply adding analytics to your project, you will collect a bunch of data automatically, things like the user's location, their operating system, browser, and stuff like that. There's a bunch of different reports you can explore here, but my favorite one is stream view. It allows you to see where your users are located on the map and who's using the app in real time.

Now let's go ahead and take a look at the actual setup for your typical JavaScript application. We have a very basic setup here with an app dotjs and index HTML file. Most developers will be using a framework like Angular, React, etcetera, which means you should have a package JSON file. Inside that package, you'll want to make sure that you update Firebase to version 7 or greater. Now, in this particular demo, we're using Firebase Hosting along with its magic script tags in the index HTML.

You'll notice they're using Firebase version 7, and I've imported Firebase Analytics as well as Firebase Remote Config. Now if we jump into our actual JavaScript code, The first thing we'll want to do is initialize Firebase, making sure that we update our Firebase config with the new measurement ID. Then from there, we'll call Firebase initialize app and then make a reference to Firebase Analytics. These steps might look a little bit different depending on your setup, but that's the gist of it. Update Firebase to version 7 and make a reference to Analytics.

So as a bare minimum, you could add Analytics to your project and get all of this nice reporting and insight about your users. But the way you really maximize the insight you gain about your own specific app is to report custom events. Now I'll just go ahead and set up a hypothetical example here in our code. Let's say we have the sign in function, and its purpose is to sign the user in anonymously or with email password or Google login or something like that. What we'd like to do is report that a login event has occurred.

So after the user signs in, we'll go ahead and extract the sign in method from the user credential, Then we can call analytics log event with the name of the event that we wanna log. And then, optionally, as a second argument, we can pass an object with additional parameters for that event, which in this case will be the login method. And it's also worth noting that login is actually a built in event in Google Analytics, so this technically isn't a custom event. It's generally better to use a built in event if it fits your needs, so make sure to check out the Google Analytics reference for a full list of events. But if you don't see the right event, it's perfectly okay to create your own custom event.

For example, imagine we're building a game, and we want to log a new game event to Analytics. We call the same log event method and pass the string name of our event and then any optional parameters as the second argument as an object. And that's really all there is to it when it comes to reporting events. When you start collecting data, you'll be able to see that data in the events tab in the Firebase console. You can optionally mark events as conversions, which would be something like an in app payment, which will help you manage your marketing efforts towards that specific event.

Now you can generate reports for these events and the custom parameters that you report, but the one thing worth noting here is that if you have a custom parameter, you'll need to register it in the Firebase console. You'll want to click Edit Parameter Reporting and then find a built in parameter or use one of your custom parameters here. And you'll also notice when you add the parameter, it will Ask you whether or not it's a text or number field. Text would be used for discrete values or things that can be counted like labels, and then numbers would be for continuous values, things like length, time, and currency that can't be counted but can be averaged out. Now if you're just getting started with Analytics, I would recommend going through your app and trying to find maybe 5 to 10 different events that you can report that you think would be useful to understanding the behavior of your users.

You don't need to go overboard with the number of events that you report quality is always better than quantity. Now in a lot of cases, you have a distinct set of events that you expect the user Follow. On the web, you might have a multistep form, and you want to record a separate event for each step in that form. Once you have that done, you can come to the Funnels tab and analyze how well that funnel actually performs. Essentially, you can connect one event to another to see how the user goes through those steps and see if there's a certain step where the user drops off or maybe one that is more likely to convert to a paying customer.

So now that we have some custom events flowing through the app, we likely want to segment those events to a smaller subset of users. Let's head back over to the source code, and I'll show you how to set up something called a user property. In most Firebase apps, you'll be listening to the current user with the on auth state change callback. When you listen to the current user globally, You can set the current user ID by calling analytics set user ID with the user object from the auth state. And this allows Analytics to collect information about a specific user across multiple sessions.

But you might have additional things going on about a user that you want to report to Analytics. For example, you might use something like role based user access control, so you listen to the ID token, and that ID token will tell you whether or not that user is an admin user or a moderator or something along those lines, and then you can pass that data on to Analytics so it can segment your users based on this custom user property. One way to think of this is that a user property defines what a user is while an event defines what a user does in the app. And you can set the user properties by simply calling analytics set user properties with an object of the data that you wanna app. Now when working with custom user properties, you'll want to go to the user properties tab and register those properties on the Firebase console, and all you need to do is enter the string name of the property.

The real benefit of user properties comes into play when you start building audiences. Let's head over to the Audience tab and create a new audience. Firebase will give you a bunch of hints with default audiences, but we'll just go ahead and create a custom one from scratch. You can customize your audiences based on events and user properties. What I wanna do here is create an audience of users that have triggered the login event but that have a user property of a pro membership that's canceled.

On FireShip, that would be a user that used to be a member but that is still using the site, so maybe they want to sign up again. And if they do wanna sign up, we should probably offer some kind of discount code, and that's exactly the type of thing we can do with remote config. Head over to the remote config tab and click add new parameter. A parameter is essentially a key value pair, but the Actual value is activated based on some condition in your Analytics dataset. In this case, we'll call it special discount, and then we'll add a new condition for a veteran FireShip user.

The first thing we'll do is set the app equal to our web app, And then we'll add a second condition that is equal to one of the user audiences that we created on the Firebase console. And we could also add a bunch The extra conditions here as well if we wanted to segment it by region or by device, and we can even sample it to a smaller subset of random users. For example, in this case, we'll only offer the discount to a lucky 50% of users. And that feature happens to be especially useful if you're rolling out a new feature, but You don't want to roll it out to the entire user base all at once. And another cool thing about remote config is that when you set up different conditions, you can reuse those conditions across multiple parameters.

If you go to the conditions tab, you can see all of your conditions there and update them across all parameters at the same time. And now that we have some parameters, let's head back to our source code and see how we can put them to use in our JavaScript app. We can reference remote config in the SDK by calling Firebase remote config, and then you can set a specific interval for how often it fetches the values from Remote Config. It's not like the real time database or Firestore where it's constantly listening for updates, So just keep in mind that changes to Remote Config aren't instantaneous like they are in other Firebase services. And it's also a good idea to set up a default config, which are just default values in case they can't be fetched from the Firebase servers.

From there, we'll call fetch and activate, which will actually retrieve the values from Firebase, and then it provides type safe getters that we can use to read the actual values from remote config. So if we're expecting a string value, we can call remote config get string followed by the parameter name, and you can do the same thing for gitbooleannumberandso on. If you're using a framework, you would likely retrieve these valued somewhere high up in the application like the app component during your initial life cycle hook, and that would allow you to conditionally render UI based on these remote config values. I'm gonna go ahead and wrap things up there. We barely just scratched the surface, but it is very awesome to finally see analytics and remote config available for Firebase, on the web that is.

Thanks for watching, and I will talk to you soon.
One of the most powerful features in all of Firebase is its integration with Google Analytics. In this video, I'll show you how to collect sophisticated data about the behavior of your users and then put that data to use to custom tailor the user experience and improve conversion rates for whatever product you sell on your app. And if you're a web developer, I have great news because Firebase just recently added support for analytics on the web. If you're new here, like and subscribe and check out the full lesson on Fireship IO.
What we're going to do today is enable Google Analytics in a Firebase project for the web, and then I'll show you how to log custom analytics events, and a JavaScript application. Then we'll fast forward a couple days into the future after we've collected some data and use a service called Remote Config to custom tailor the user experience based on our analytics data. Now if you're not already using Google Analytics in your Firebase project, you probably should be. It's a free service that provides insight about the behavior of your users that will ultimately drive your decisions about marketing and the development of your app. And when it comes to Firebase, your analytics data can enhance and unlock other features in the platform. For example, you can tie your analytics data to your push notifications, allowing you to send the right notification to the right user at the right time. And as we'll see in this video, it unlocks a feature that's new to the web called remote config. It provides a way for you to read data related to your analytics directly in your app. That means you can roll out experimental features to a subset Set up users, show conditional marketing campaigns, among a whole bunch of other possibilities.
google
security
networking
artificial intelligence
streaming
video gaming
youtube
Now let's go ahead and get started by setting up our web application with Firebase Analytics. The process is slightly different depending on whether or not you already have a Google Analytics account and a Firebase project, so make sure to reference the official docs depending on your situation. In my case, I had an existing Firebase project that was also already using Google Analytics. So the process to enable Analytics in this project was to click this begin upgrade button that you'll see up here in the top right corner of the Analytics dashboard.
When you click this button, it will have you click through a few pages and then link your actual Google Analytics project. When you finish the transfer process, it's going to make one small subtle change to your Firebase project settings. If we go to the settings tab, you'll notice that we now have a measurement ID property in the Firebase config.
google
So if you have an existing app, you'll want to update this measurement ID in your Firebase config to get analytics working in your project. Now I actually just set up Firebase Analytics in this project a couple days ago, And what you'll notice on the dashboard is that we're starting to get reporting on the daily, weekly, and monthly active users along with their locations, and all this reporting is now combined across iOS, Android, and the web.
Now by simply adding analytics to your project, you will collect a bunch of data automatically, things like the user's location, their operating system, browser, and stuff like that. There's a bunch of different reports you can explore here, but my favorite one is stream view. It allows you to see where your users are located on the map and who's using the app in real time. Now let's go ahead and take a look at the actual setup for your typical JavaScript application.
data management
data
databases
streaming
visualization
We have a very basic setup here with an app dotjs and index HTML file. Most developers will be using a framework like Angular, React, etcetera, which means you should have a package JSON file. Inside that package, you'll want to make sure that you update Firebase to version 7 or greater. Now, in this particular demo, we're using Firebase Hosting along with its magic script tags in the index HTML. You'll notice they're using Firebase version 7, and I've imported Firebase Analytics as well as Firebase Remote Config. Now if we jump into our actual JavaScript code, The first thing we'll want to do is initialize Firebase, making sure that we update our Firebase config with the new measurement ID. Then from there, we'll call Firebase initialize app and then make a reference to Firebase Analytics. These steps might look a little bit different depending on your setup, but that's the gist of it. Update Firebase to version 7 and make a reference to Analytics. So as a bare minimum, you could add Analytics to your project and get all of this nice reporting and insight about your users. But the way you really maximize the insight you gain about your own specific app is to report custom events. Now I'll just go ahead and set up a hypothetical example here in our code. Let's say we have the sign in function, and its purpose is to sign the user in anonymously or with email password or Google login or something like that. What we'd like to do is report that a login event has occurred. So after the user signs in, we'll go ahead and extract the sign in method from the user credential, Then we can call analytics log event with the name of the event that we wanna log. And then, optionally, as a second argument, we can pass an object with additional parameters for that event, which in this case will be the login method.
And it's also worth noting that login is actually a built in event in Google Analytics, so this technically isn't a custom event. It's generally better to use a built in event if it fits your needs, so make sure to check out the Google Analytics reference for a full list of events.
google
But if you don't see the right event, it's perfectly okay to create your own custom event. For example, imagine we're building a game, and we want to log a new game event to Analytics. We call the same log event method and pass the string name of our event and then any optional parameters as the second argument as an object.
And that's really all there is to it when it comes to reporting events. When you start collecting data, you'll be able to see that data in the events tab in the Firebase console. You can optionally mark events as conversions, which would be something like an in app payment, which will help you manage your marketing efforts towards that specific event.
data
data management
Now you can generate reports for these events and the custom parameters that you report, but the one thing worth noting here is that if you have a custom parameter, you'll need to register it in the Firebase console. You'll want to click Edit Parameter Reporting and then find a built in parameter or use one of your custom parameters here. And you'll also notice when you add the parameter, it will Ask you whether or not it's a text or number field.
Text would be used for discrete values or things that can be counted like labels, and then numbers would be for continuous values, things like length, time, and currency that can't be counted but can be averaged out. Now if you're just getting started with Analytics, I would recommend going through your app and trying to find maybe 5 to 10 different events that you can report that you think would be useful to understanding the behavior of your users. You don't need to go overboard with the number of events that you report quality is always better than quantity.
data
statistics
data management
data analysis
databases
Now in a lot of cases, you have a distinct set of events that you expect the user Follow. On the web, you might have a multistep form, and you want to record a separate event for each step in that form. Once you have that done, you can come to the Funnels tab and analyze how well that funnel actually performs. Essentially, you can connect one event to another to see how the user goes through those steps and see if there's a certain step where the user drops off or maybe one that is more likely to convert to a paying customer. So now that we have some custom events flowing through the app, we likely want to segment those events to a smaller subset of users. Let's head back over to the source code, and I'll show you how to set up something called a user property. In most Firebase apps, you'll be listening to the current user with the on auth state change callback.
When you listen to the current user globally, You can set the current user ID by calling analytics set user ID with the user object from the auth state. And this allows Analytics to collect information about a specific user across multiple sessions. But you might have additional things going on about a user that you want to report to Analytics. For example, you might use something like role based user access control, so you listen to the ID token, and that ID token will tell you whether or not that user is an admin user or a moderator or something along those lines, and then you can pass that data on to Analytics so it can segment your users based on this custom user property.
data management
data
databases
artificial intelligence
One way to think of this is that a user property defines what a user is while an event defines what a user does in the app. And you can set the user properties by simply calling analytics set user properties with an object of the data that you wanna app. Now when working with custom user properties, you'll want to go to the user properties tab and register those properties on the Firebase console, and all you need to do is enter the string name of the property.
The real benefit of user properties comes into play when you start building audiences. Let's head over to the Audience tab and create a new audience. Firebase will give you a bunch of hints with default audiences, but we'll just go ahead and create a custom one from scratch. You can customize your audiences based on events and user properties.
entertainment
What I wanna do here is create an audience of users that have triggered the login event but that have a user property of a pro membership that's canceled. On FireShip, that would be a user that used to be a member but that is still using the site, so maybe they want to sign up again. And if they do wanna sign up, we should probably offer some kind of discount code, and that's exactly the type of thing we can do with remote config. Head over to the remote config tab and click add new parameter. A parameter is essentially a key value pair, but the Actual value is activated based on some condition in your Analytics dataset. In this case, we'll call it special discount, and then we'll add a new condition for a veteran FireShip user. The first thing we'll do is set the app equal to our web app, And then we'll add a second condition that is equal to one of the user audiences that we created on the Firebase console. And we could also add a bunch The extra conditions here as well if we wanted to segment it by region or by device, and we can even sample it to a smaller subset of random users. For example, in this case, we'll only offer the discount to a lucky 50% of users. And that feature happens to be especially useful if you're rolling out a new feature, but You don't want to roll it out to the entire user base all at once. And another cool thing about remote config is that when you set up different conditions, you can reuse those conditions across multiple parameters. If you go to the conditions tab, you can see all of your conditions there and update them across all parameters at the same time. And now that we have some parameters, let's head back to our source code and see how we can put them to use in our JavaScript app. We can reference remote config in the SDK by calling Firebase remote config, and then you can set a specific interval for how often it fetches the values from Remote Config. It's not like the real time database or Firestore where it's constantly listening for updates, So just keep in mind that changes to Remote Config aren't instantaneous like they are in other Firebase services. And it's also a good idea to set up a default config, which are just default values in case they can't be fetched from the Firebase servers. From there, we'll call fetch and activate, which will actually retrieve the values from Firebase, and then it provides type safe getters that we can use to read the actual values from remote config. So if we're expecting a string value, we can call remote config get string followed by the parameter name, and you can do the same thing for gitbooleannumberandso on. If you're using a framework, you would likely retrieve these valued somewhere high up in the application like the app component during your initial life cycle hook, and that would allow you to conditionally render UI based on these remote config values.
I'm gonna go ahead and wrap things up there. We barely just scratched the surface, but it is very awesome to finally see analytics and remote config available for Firebase, on the web that is. Thanks for watching, and I will talk to you soon.
streaming
One of the most powerful features in all of Firebase is its integration with Google Analytics. In this video, I'll show you how to collect sophisticated data about the behavior of your users and then put that data to use to custom tailor the user experience and improve conversion rates for whatever product you sell on your app. And if you're a web developer, I have great news because Firebase just recently added support for analytics on the web. If you're new here, like and subscribe and check out the full lesson on Fireship IO. What we're going to do today is enable Google Analytics in a Firebase project for the web, and then I'll show you how to log custom analytics events, and a JavaScript application. Then we'll fast forward a couple days into the future after we've collected some data and use a service called Remote Config to custom tailor the user experience based on our analytics data. Now if you're not already using Google Analytics in your Firebase project, you probably should be. It's a free service that provides insight about the behavior of your users that will ultimately drive your decisions about marketing and the development of your app. And when it comes to Firebase, your analytics data can enhance and unlock other features in the platform. For example, you can tie your analytics data to your push notifications, allowing you to send the right notification to the right user at the right time. And as we'll see in this video, it unlocks a feature that's new to the web called remote config. It provides a way for you to read data related to your analytics directly in your app. That means you can roll out experimental features to a subset Set up users, show conditional marketing campaigns, among a whole bunch of other possibilities. Now let's go ahead and get started by setting up our web application with Firebase Analytics. The process is slightly different depending on whether or not you already have a Google Analytics account and a Firebase project, so make sure to reference the official docs depending on your situation. In my case, I had an existing Firebase project that was also already using Google Analytics. So the process to enable Analytics in this project was to click this begin upgrade button that you'll see up here in the top right corner of the Analytics dashboard. When you click this button, it will have you click through a few pages and then link your actual Google Analytics project. When you finish the transfer process, it's going to make one small subtle change to your Firebase project settings. If we go to the settings tab, you'll notice that we now have a measurement ID property in the Firebase config. So if you have an existing app, you'll want to update this measurement ID in your Firebase config to get analytics working in your project. Now I actually just set up Firebase Analytics in this project a couple days ago, And what you'll notice on the dashboard is that we're starting to get reporting on the daily, weekly, and monthly active users along with their locations, and all this reporting is now combined across iOS, Android, and the web. Now by simply adding analytics to your project, you will collect a bunch of data automatically, things like the user's location, their operating system, browser, and stuff like that. There's a bunch of different reports you can explore here, but my favorite one is stream view. It allows you to see where your users are located on the map and who's using the app in real time. Now let's go ahead and take a look at the actual setup for your typical JavaScript application. We have a very basic setup here with an app dotjs and index HTML file. Most developers will be using a framework like Angular, React, etcetera, which means you should have a package JSON file. Inside that package, you'll want to make sure that you update Firebase to version 7 or greater. Now, in this particular demo, we're using Firebase Hosting along with its magic script tags in the index HTML. You'll notice they're using Firebase version 7, and I've imported Firebase Analytics as well as Firebase Remote Config. Now if we jump into our actual JavaScript code, The first thing we'll want to do is initialize Firebase, making sure that we update our Firebase config with the new measurement ID. Then from there, we'll call Firebase initialize app and then make a reference to Firebase Analytics. These steps might look a little bit different depending on your setup, but that's the gist of it. Update Firebase to version 7 and make a reference to Analytics. So as a bare minimum, you could add Analytics to your project and get all of this nice reporting and insight about your users. But the way you really maximize the insight you gain about your own specific app is to report custom events. Now I'll just go ahead and set up a hypothetical example here in our code. Let's say we have the sign in function, and its purpose is to sign the user in anonymously or with email password or Google login or something like that. What we'd like to do is report that a login event has occurred. So after the user signs in, we'll go ahead and extract the sign in method from the user credential, Then we can call analytics log event with the name of the event that we wanna log. And then, optionally, as a second argument, we can pass an object with additional parameters for that event, which in this case will be the login method. And it's also worth noting that login is actually a built in event in Google Analytics, so this technically isn't a custom event. It's generally better to use a built in event if it fits your needs, so make sure to check out the Google Analytics reference for a full list of events. But if you don't see the right event, it's perfectly okay to create your own custom event. For example, imagine we're building a game, and we want to log a new game event to Analytics. We call the same log event method and pass the string name of our event and then any optional parameters as the second argument as an object. And that's really all there is to it when it comes to reporting events. When you start collecting data, you'll be able to see that data in the events tab in the Firebase console. You can optionally mark events as conversions, which would be something like an in app payment, which will help you manage your marketing efforts towards that specific event. Now you can generate reports for these events and the custom parameters that you report, but the one thing worth noting here is that if you have a custom parameter, you'll need to register it in the Firebase console. You'll want to click Edit Parameter Reporting and then find a built in parameter or use one of your custom parameters here. And you'll also notice when you add the parameter, it will Ask you whether or not it's a text or number field. Text would be used for discrete values or things that can be counted like labels, and then numbers would be for continuous values, things like length, time, and currency that can't be counted but can be averaged out. Now if you're just getting started with Analytics, I would recommend going through your app and trying to find maybe 5 to 10 different events that you can report that you think would be useful to understanding the behavior of your users. You don't need to go overboard with the number of events that you report quality is always better than quantity. Now in a lot of cases, you have a distinct set of events that you expect the user Follow. On the web, you might have a multistep form, and you want to record a separate event for each step in that form. Once you have that done, you can come to the Funnels tab and analyze how well that funnel actually performs. Essentially, you can connect one event to another to see how the user goes through those steps and see if there's a certain step where the user drops off or maybe one that is more likely to convert to a paying customer. So now that we have some custom events flowing through the app, we likely want to segment those events to a smaller subset of users. Let's head back over to the source code, and I'll show you how to set up something called a user property. In most Firebase apps, you'll be listening to the current user with the on auth state change callback. When you listen to the current user globally, You can set the current user ID by calling analytics set user ID with the user object from the auth state. And this allows Analytics to collect information about a specific user across multiple sessions. But you might have additional things going on about a user that you want to report to Analytics. For example, you might use something like role based user access control, so you listen to the ID token, and that ID token will tell you whether or not that user is an admin user or a moderator or something along those lines, and then you can pass that data on to Analytics so it can segment your users based on this custom user property. One way to think of this is that a user property defines what a user is while an event defines what a user does in the app. And you can set the user properties by simply calling analytics set user properties with an object of the data that you wanna app. Now when working with custom user properties, you'll want to go to the user properties tab and register those properties on the Firebase console, and all you need to do is enter the string name of the property. The real benefit of user properties comes into play when you start building audiences. Let's head over to the Audience tab and create a new audience. Firebase will give you a bunch of hints with default audiences, but we'll just go ahead and create a custom one from scratch. You can customize your audiences based on events and user properties. What I wanna do here is create an audience of users that have triggered the login event but that have a user property of a pro membership that's canceled. On FireShip, that would be a user that used to be a member but that is still using the site, so maybe they want to sign up again. And if they do wanna sign up, we should probably offer some kind of discount code, and that's exactly the type of thing we can do with remote config. Head over to the remote config tab and click add new parameter. A parameter is essentially a key value pair, but the Actual value is activated based on some condition in your Analytics dataset. In this case, we'll call it special discount, and then we'll add a new condition for a veteran FireShip user. The first thing we'll do is set the app equal to our web app, And then we'll add a second condition that is equal to one of the user audiences that we created on the Firebase console. And we could also add a bunch The extra conditions here as well if we wanted to segment it by region or by device, and we can even sample it to a smaller subset of random users. For example, in this case, we'll only offer the discount to a lucky 50% of users. And that feature happens to be especially useful if you're rolling out a new feature, but You don't want to roll it out to the entire user base all at once. And another cool thing about remote config is that when you set up different conditions, you can reuse those conditions across multiple parameters. If you go to the conditions tab, you can see all of your conditions there and update them across all parameters at the same time. And now that we have some parameters, let's head back to our source code and see how we can put them to use in our JavaScript app. We can reference remote config in the SDK by calling Firebase remote config, and then you can set a specific interval for how often it fetches the values from Remote Config. It's not like the real time database or Firestore where it's constantly listening for updates, So just keep in mind that changes to Remote Config aren't instantaneous like they are in other Firebase services. And it's also a good idea to set up a default config, which are just default values in case they can't be fetched from the Firebase servers. From there, we'll call fetch and activate, which will actually retrieve the values from Firebase, and then it provides type safe getters that we can use to read the actual values from remote config. So if we're expecting a string value, we can call remote config get string followed by the parameter name, and you can do the same thing for gitbooleannumberandso on. If you're using a framework, you would likely retrieve these valued somewhere high up in the application like the app component during your initial life cycle hook, and that would allow you to conditionally render UI based on these remote config values. I'm gonna go ahead and wrap things up there. We barely just scratched the surface, but it is very awesome to finally see analytics and remote config available for Firebase, on the web that is. Thanks for watching, and I will talk to you soon.
One
one
of
of
the
the
most
most
powerful
powerful
features
features
in
in
all
all
of
of
Firebase
firebase
is
is
its
its
integration
integration
with
with
Google
google
Analytics.
analytics
In
in
this
this
video,
video
I'll
i'll
show
show
you
you
how
how
to
to
collect
collect
sophisticated
sophisticated
data
data
about
about
the
the
behavior
behavior
of
of
your
your
users
users
and
and
then
then
put
put
that
that
data
data
to
to
use
use
to
to
custom
custom
tailor
tailor
the
the
user
user
experience
experience
and
and
improve
improve
conversion
conversion
rates
rates
for
for
whatever
whatever
product
product
you
you
sell
sell
on
on
your
your
app.
app
And
and
if
if
you're
you're
a
a
web
web
developer,
developer
I
i
have
have
great
great
news
news
because
because
Firebase
firebase
just
just
recently
recently
added
added
support
support
for
for
analytics
analytics
on
on
the
the
web.
web
If
if
you're
you're
new
new
here,
here
like
like
and
and
subscribe
subscribe
and
and
check
check
out
out
the
the
full
full
lesson
lesson
on
on
Fireship
fireship
IO.
io
What
what
we're
we're
going
going
to
to
do
do
today
today
is
is
enable
enable
Google
google
Analytics
analytics
in
in
a
a
Firebase
firebase
project
project
for
for
the
the
web,
web
and
and
then
then
I'll
i'll
show
show
you
you
how
how
to
to
log
log
custom
custom
analytics
analytics
events,
events
and
and
a
a
JavaScript
javascript
application.
application
Then
then
we'll
we'll
fast
fast
forward
forward
a
a
couple
couple
days
days
into
into
the
the
future
future
after
after
we've
we've
collected
collected
some
some
data
data
and
and
use
use
a
a
service
service
called
called
Remote
remote
Config
config
to
to
custom
custom
tailor
tailor
the
the
user
user
experience
experience
based
based
on
on
our
our
analytics
analytics
data.
data
Now
now
if
if
you're
you're
not
not
already
already
using
using
Google
google
Analytics
analytics
in
in
your
your
Firebase
firebase
project,
project
you
you
probably
probably
should
should
be.
be
It's
it's
a
a
free
free
service
service
that
that
provides
provides
insight
insight
about
about
the
the
behavior
behavior
of
of
your
your
users
users
that
that
will
will
ultimately
ultimately
drive
drive
your
your
decisions
decisions
about
about
marketing
marketing
and
and
the
the
development
development
of
of
your
your
app.
app
And
and
when
when
it
it
comes
comes
to
to
Firebase,
firebase
your
your
analytics
analytics
data
data
can
can
enhance
enhance
and
and
unlock
unlock
other
other
features
features
in
in
the
the
platform.
platform
For
for
example,
example
you
you
can
can
tie
tie
your
your
analytics
analytics
data
data
to
to
your
your
push
push
notifications,
notifications
allowing
allowing
you
you
to
to
send
send
the
the
right
right
notification
notification
to
to
the
the
right
right
user
user
at
at
the
the
right
right
time.
time
And
and
as
as
we'll
we'll
see
see
in
in
this
this
video,
video
it
it
unlocks
unlocks
a
a
feature
feature
that's
that's
new
new
to
to
the
the
web
web
called
called
remote
remote
config.
config
It
it
provides
provides
a
a
way
way
for
for
you
you
to
to
read
read
data
data
related
related
to
to
your
your
analytics
analytics
directly
directly
in
in
your
your
app.
app
That
that
means
means
you
you
can
can
roll
roll
out
out
experimental
experimental
features
features
to
to
a
a
subset
subset
Set
set
up
up
users,
users
show
show
conditional
conditional
marketing
marketing
campaigns,
campaigns
among
among
a
a
whole
whole
bunch
bunch
of
of
other
other
possibilities.
possibilities
Now
now
let's
let's
go
go
ahead
ahead
and
and
get
get
started
started
by
by
setting
setting
up
up
our
our
web
web
application
application
with
with
Firebase
firebase
Analytics.
analytics
The
the
process
process
is
is
slightly
slightly
different
different
depending
depending
on
on
whether
whether
or
or
not
not
you
you
already
already
have
have
a
a
Google
google
Analytics
analytics
account
account
and
and
a
a
Firebase
firebase
project,
project
so
so
make
make
sure
sure
to
to
reference
reference
the
the
official
official
docs
docs
depending
depending
on
on
your
your
situation.
situation
In
in
my
my
case,
case
I
i
had
had
an
an
existing
existing
Firebase
firebase
project
project
that
that
was
was
also
also
already
already
using
using
Google
google
Analytics.
analytics
So
so
the
the
process
process
to
to
enable
enable
Analytics
analytics
in
in
this
this
project
project
was
was
to
to
click
click
this
this
begin
begin
upgrade
upgrade
button
button
that
that
you'll
you'll
see
see
up
up
here
here
in
in
the
the
top
top
right
right
corner
corner
of
of
the
the
Analytics
analytics
dashboard.
dashboard
When
when
you
you
click
click
this
this
button,
button
it
it
will
will
have
have
you
you
click
click
through
through
a
a
few
few
pages
pages
and
and
then
then
link
link
your
your
actual
actual
Google
google
Analytics
analytics
project.
project
When
when
you
you
finish
finish
the
the
transfer
transfer
process,
process
it's
it's
going
going
to
to
make
make
one
one
small
small
subtle
subtle
change
change
to
to
your
your
Firebase
firebase
project
project
settings.
settings
If
if
we
we
go
go
to
to
the
the
settings
settings
tab,
tab
you'll
you'll
notice
notice
that
that
we
we
now
now
have
have
a
a
measurement
measurement
ID
id
property
property
in
in
the
the
Firebase
firebase
config.
config
So
so
if
if
you
you
have
have
an
an
existing
existing
app,
app
you'll
you'll
want
want
to
to
update
update
this
this
measurement
measurement
ID
id
in
in
your
your
Firebase
firebase
config
config
to
to
get
get
analytics
analytics
working
working
in
in
your
your
project.
project
Now
now
I
i
actually
actually
just
just
set
set
up
up
Firebase
firebase
Analytics
analytics
in
in
this
this
project
project
a
a
couple
couple
days
days
ago,
ago
And
and
what
what
you'll
you'll
notice
notice
on
on
the
the
dashboard
dashboard
is
is
that
that
we're
we're
starting
starting
to
to
get
get
reporting
reporting
on
on
the
the
daily,
daily
weekly,
weekly
and
and
monthly
monthly
active
active
users
users
along
along
with
with
their
their
locations,
locations
and
and
all
all
this
this
reporting
reporting
is
is
now
now
combined
combined
across
across
iOS,
ios
Android,
android
and
and
the
the
web.
web
Now
now
by
by
simply
simply
adding
adding
analytics
analytics
to
to
your
your
project,
project
you
you
will
will
collect
collect
a
a
bunch
bunch
of
of
data
data
automatically,
automatically
things
things
like
like
the
the
user's
user's
location,
location
their
their
operating
operating
system,
system
browser,
browser
and
and
stuff
stuff
like
like
that.
that
There's
there's
a
a
bunch
bunch
of
of
different
different
reports
reports
you
you
can
can
explore
explore
here,
here
but
but
my
my
favorite
favorite
one
one
is
is
stream
stream
view.
view
It
it
allows
allows
you
you
to
to
see
see
where
where
your
your
users
users
are
are
located
located
on
on
the
the
map
map
and
and
who's
who's
using
using
the
the
app
app
in
in
real
real
time.
time
Now
now
let's
let's
go
go
ahead
ahead
and
and
take
take
a
a
look
look
at
at
the
the
actual
actual
setup
setup
for
for
your
your
typical
typical
JavaScript
javascript
application.
application
We
we
have
have
a
a
very
very
basic
basic
setup
setup
here
here
with
with
an
an
app
app
dotjs
dotjs
and
and
index
index
HTML
html
file.
file
Most
most
developers
developers
will
will
be
be
using
using
a
a
framework
framework
like
like
Angular,
angular
React,
react
etcetera,
etcetera
which
which
means
means
you
you
should
should
have
have
a
a
package
package
JSON
json
file.
file
Inside
inside
that
that
package,
package
you'll
you'll
want
want
to
to
make
make
sure
sure
that
that
you
you
update
update
Firebase
firebase
to
to
version
version
7
7
or
or
greater.
greater
Now,
now
in
in
this
this
particular
particular
demo,
demo
we're
we're
using
using
Firebase
firebase
Hosting
hosting
along
along
with
with
its
its
magic
magic
script
script
tags
tags
in
in
the
the
index
index
HTML.
html
You'll
you'll
notice
notice
they're
they're
using
using
Firebase
firebase
version
version
7,
7
and
and
I've
i've
imported
imported
Firebase
firebase
Analytics
analytics
as
as
well
well
as
as
Firebase
firebase
Remote
remote
Config.
config
Now
now
if
if
we
we
jump
jump
into
into
our
our
actual
actual
JavaScript
javascript
code,
code
The
the
first
first
thing
thing
we'll
we'll
want
want
to
to
do
do
is
is
initialize
initialize
Firebase,
firebase
making
making
sure
sure
that
that
we
we
update
update
our
our
Firebase
firebase
config
config
with
with
the
the
new
new
measurement
measurement
ID.
id
Then
then
from
from
there,
there
we'll
we'll
call
call
Firebase
firebase
initialize
initialize
app
app
and
and
then
then
make
make
a
a
reference
reference
to
to
Firebase
firebase
Analytics.
analytics
These
these
steps
steps
might
might
look
look
a
a
little
little
bit
bit
different
different
depending
depending
on
on
your
your
setup,
setup
but
but
that's
that's
the
the
gist
gist
of
of
it.
it
Update
update
Firebase
firebase
to
to
version
version
7
7
and
and
make
make
a
a
reference
reference
to
to
Analytics.
analytics
So
so
as
as
a
a
bare
bare
minimum,
minimum
you
you
could
could
add
add
Analytics
analytics
to
to
your
your
project
project
and
and
get
get
all
all
of
of
this
this
nice
nice
reporting
reporting
and
and
insight
insight
about
about
your
your
users.
users
But
but
the
the
way
way
you
you
really
really
maximize
maximize
the
the
insight
insight
you
you
gain
gain
about
about
your
your
own
own
specific
specific
app
app
is
is
to
to
report
report
custom
custom
events.
events
Now
now
I'll
i'll
just
just
go
go
ahead
ahead
and
and
set
set
up
up
a
a
hypothetical
hypothetical
example
example
here
here
in
in
our
our
code.
code
Let's
let's
say
say
we
we
have
have
the
the
sign
sign
in
in
function,
function
and
and
its
its
purpose
purpose
is
is
to
to
sign
sign
the
the
user
user
in
in
anonymously
anonymously
or
or
with
with
email
email
password
password
or
or
Google
google
login
login
or
or
something
something
like
like
that.
that
What
what
we'd
we'd
like
like
to
to
do
do
is
is
report
report
that
that
a
a
login
login
event
event
has
has
occurred.
occurred
So
so
after
after
the
the
user
user
signs
signs
in,
in
we'll
we'll
go
go
ahead
ahead
and
and
extract
extract
the
the
sign
sign
in
in
method
method
from
from
the
the
user
user
credential,
credential
Then
then
we
we
can
can
call
call
analytics
analytics
log
log
event
event
with
with
the
the
name
name
of
of
the
the
event
event
that
that
we
we
wanna
wanna
log.
log
And
and
then,
then
optionally,
optionally
as
as
a
a
second
second
argument,
argument
we
we
can
can
pass
pass
an
an
object
object
with
with
additional
additional
parameters
parameters
for
for
that
that
event,
event
which
which
in
in
this
this
case
case
will
will
be
be
the
the
login
login
method.
method
And
and
it's
it's
also
also
worth
worth
noting
noting
that
that
login
login
is
is
actually
actually
a
a
built
built
in
in
event
event
in
in
Google
google
Analytics,
analytics
so
so
this
this
technically
technically
isn't
isn't
a
a
custom
custom
event.
event
It's
it's
generally
generally
better
better
to
to
use
use
a
a
built
built
in
in
event
event
if
if
it
it
fits
fits
your
your
needs,
needs
so
so
make
make
sure
sure
to
to
check
check
out
out
the
the
Google
google
Analytics
analytics
reference
reference
for
for
a
a
full
full
list
list
of
of
events.
events
But
but
if
if
you
you
don't
don't
see
see
the
the
right
right
event,
event
it's
it's
perfectly
perfectly
okay
okay
to
to
create
create
your
your
own
own
custom
custom
event.
event
For
for
example,
example
imagine
imagine
we're
we're
building
building
a
a
game,
game
and
and
we
we
want
want
to
to
log
log
a
a
new
new
game
game
event
event
to
to
Analytics.
analytics
We
we
call
call
the
the
same
same
log
log
event
event
method
method
and
and
pass
pass
the
the
string
string
name
name
of
of
our
our
event
event
and
and
then
then
any
any
optional
optional
parameters
parameters
as
as
the
the
second
second
argument
argument
as
as
an
an
object.
object
And
and
that's
that's
really
really
all
all
there
there
is
is
to
to
it
it
when
when
it
it
comes
comes
to
to
reporting
reporting
events.
events
When
when
you
you
start
start
collecting
collecting
data,
data
you'll
you'll
be
be
able
able
to
to
see
see
that
that
data
data
in
in
the
the
events
events
tab
tab
in
in
the
the
Firebase
firebase
console.
console
You
you
can
can
optionally
optionally
mark
mark
events
events
as
as
conversions,
conversions
which
which
would
would
be
be
something
something
like
like
an
an
in
in
app
app
payment,
payment
which
which
will
will
help
help
you
you
manage
manage
your
your
marketing
marketing
efforts
efforts
towards
towards
that
that
specific
specific
event.
event
Now
now
you
you
can
can
generate
generate
reports
reports
for
for
these
these
events
events
and
and
the
the
custom
custom
parameters
parameters
that
that
you
you
report,
report
but
but
the
the
one
one
thing
thing
worth
worth
noting
noting
here
here
is
is
that
that
if
if
you
you
have
have
a
a
custom
custom
parameter,
parameter
you'll
you'll
need
need
to
to
register
register
it
it
in
in
the
the
Firebase
firebase
console.
console
You'll
you'll
want
want
to
to
click
click
Edit
edit
Parameter
parameter
Reporting
reporting
and
and
then
then
find
find
a
a
built
built
in
in
parameter
parameter
or
or
use
use
one
one
of
of
your
your
custom
custom
parameters
parameters
here.
here
And
and
you'll
you'll
also
also
notice
notice
when
when
you
you
add
add
the
the
parameter,
parameter
it
it
will
will
Ask
ask
you
you
whether
whether
or
or
not
not
it's
it's
a
a
text
text
or
or
number
number
field.
field
Text
text
would
would
be
be
used
used
for
for
discrete
discrete
values
values
or
or
things
things
that
that
can
can
be
be
counted
counted
like
like
labels,
labels
and
and
then
then
numbers
numbers
would
would
be
be
for
for
continuous
continuous
values,
values
things
things
like
like
length,
length
time,
time
and
and
currency
currency
that
that
can't
can't
be
be
counted
counted
but
but
can
can
be
be
averaged
averaged
out.
out
Now
now
if
if
you're
you're
just
just
getting
getting
started
started
with
with
Analytics,
analytics
I
i
would
would
recommend
recommend
going
going
through
through
your
your
app
app
and
and
trying
trying
to
to
find
find
maybe
maybe
5
5
to
to
10
10
different
different
events
events
that
that
you
you
can
can
report
report
that
that
you
you
think
think
would
would
be
be
useful
useful
to
to
understanding
understanding
the
the
behavior
behavior
of
of
your
your
users.
users
You
you
don't
don't
need
need
to
to
go
go
overboard
overboard
with
with
the
the
number
number
of
of
events
events
that
that
you
you
report
report
quality
quality
is
is
always
always
better
better
than
than
quantity.
quantity
Now
now
in
in
a
a
lot
lot
of
of
cases,
cases
you
you
have
have
a
a
distinct
distinct
set
set
of
of
events
events
that
that
you
you
expect
expect
the
the
user
user
Follow.
follow
On
on
the
the
web,
web
you
you
might
might
have
have
a
a
multistep
multistep
form,
form
and
and
you
you
want
want
to
to
record
record
a
a
separate
separate
event
event
for
for
each
each
step
step
in
in
that
that
form.
form
Once
once
you
you
have
have
that
that
done,
done
you
you
can
can
come
come
to
to
the
the
Funnels
funnels
tab
tab
and
and
analyze
analyze
how
how
well
well
that
that
funnel
funnel
actually
actually
performs.
performs
Essentially,
essentially
you
you
can
can
connect
connect
one
one
event
event
to
to
another
another
to
to
see
see
how
how
the
the
user
user
goes
goes
through
through
those
those
steps
steps
and
and
see
see
if
if
there's
there's
a
a
certain
certain
step
step
where
where
the
the
user
user
drops
drops
off
off
or
or
maybe
maybe
one
one
that
that
is
is
more
more
likely
likely
to
to
convert
convert
to
to
a
a
paying
paying
customer.
customer
So
so
now
now
that
that
we
we
have
have
some
some
custom
custom
events
events
flowing
flowing
through
through
the
the
app,
app
we
we
likely
likely
want
want
to
to
segment
segment
those
those
events
events
to
to
a
a
smaller
smaller
subset
subset
of
of
users.
users
Let's
let's
head
head
back
back
over
over
to
to
the
the
source
source
code,
code
and
and
I'll
i'll
show
show
you
you
how
how
to
to
set
set
up
up
something
something
called
called
a
a
user
user
property.
property
In
in
most
most
Firebase
firebase
apps,
apps
you'll
you'll
be
be
listening
listening
to
to
the
the
current
current
user
user
with
with
the
the
on
on
auth
auth
state
state
change
change
callback.
callback
When
when
you
you
listen
listen
to
to
the
the
current
current
user
user
globally,
globally
You
you
can
can
set
set
the
the
current
current
user
user
ID
id
by
by
calling
calling
analytics
analytics
set
set
user
user
ID
id
with
with
the
the
user
user
object
object
from
from
the
the
auth
auth
state.
state
And
and
this
this
allows
allows
Analytics
analytics
to
to
collect
collect
information
information
about
about
a
a
specific
specific
user
user
across
across
multiple
multiple
sessions.
sessions
But
but
you
you
might
might
have
have
additional
additional
things
things
going
going
on
on
about
about
a
a
user
user
that
that
you
you
want
want
to
to
report
report
to
to
Analytics.
analytics
For
for
example,
example
you
you
might
might
use
use
something
something
like
like
role
role
based
based
user
user
access
access
control,
control
so
so
you
you
listen
listen
to
to
the
the
ID
id
token,
token
and
and
that
that
ID
id
token
token
will
will
tell
tell
you
you
whether
whether
or
or
not
not
that
that
user
user
is
is
an
an
admin
admin
user
user
or
or
a
a
moderator
moderator
or
or
something
something
along
along
those
those
lines,
lines
and
and
then
then
you
you
can
can
pass
pass
that
that
data
data
on
on
to
to
Analytics
analytics
so
so
it
it
can
can
segment
segment
your
your
users
users
based
based
on
on
this
this
custom
custom
user
user
property.
property
One
one
way
way
to
to
think
think
of
of
this
this
is
is
that
that
a
a
user
user
property
property
defines
defines
what
what
a
a
user
user
is
is
while
while
an
an
event
event
defines
defines
what
what
a
a
user
user
does
does
in
in
the
the
app.
app
And
and
you
you
can
can
set
set
the
the
user
user
properties
properties
by
by
simply
simply
calling
calling
analytics
analytics
set
set
user
user
properties
properties
with
with
an
an
object
object
of
of
the
the
data
data
that
that
you
you
wanna
wanna
app.
app
Now
now
when
when
working
working
with
with
custom
custom
user
user
properties,
properties
you'll
you'll
want
want
to
to
go
go
to
to
the
the
user
user
properties
properties
tab
tab
and
and
register
register
those
those
properties
properties
on
on
the
the
Firebase
firebase
console,
console
and
and
all
all
you
you
need
need
to
to
do
do
is
is
enter
enter
the
the
string
string
name
name
of
of
the
the
property.
property
The
the
real
real
benefit
benefit
of
of
user
user
properties
properties
comes
comes
into
into
play
play
when
when
you
you
start
start
building
building
audiences.
audiences
Let's
let's
head
head
over
over
to
to
the
the
Audience
audience
tab
tab
and
and
create
create
a
a
new
new
audience.
audience
Firebase
firebase
will
will
give
give
you
you
a
a
bunch
bunch
of
of
hints
hints
with
with
default
default
audiences,
audiences
but
but
we'll
we'll
just
just
go
go
ahead
ahead
and
and
create
create
a
a
custom
custom
one
one
from
from
scratch.
scratch
You
you
can
can
customize
customize
your
your
audiences
audiences
based
based
on
on
events
events
and
and
user
user
properties.
properties
What
what
I
i
wanna
wanna
do
do
here
here
is
is
create
create
an
an
audience
audience
of
of
users
users
that
that
have
have
triggered
triggered
the
the
login
login
event
event
but
but
that
that
have
have
a
a
user
user
property
property
of
of
a
a
pro
pro
membership
membership
that's
that's
canceled.
canceled
On
on
FireShip,
fireship
that
that
would
would
be
be
a
a
user
user
that
that
used
used
to
to
be
be
a
a
member
member
but
but
that
that
is
is
still
still
using
using
the
the
site,
site
so
so
maybe
maybe
they
they
want
want
to
to
sign
sign
up
up
again.
again
And
and
if
if
they
they
do
do
wanna
wanna
sign
sign
up,
up
we
we
should
should
probably
probably
offer
offer
some
some
kind
kind
of
of
discount
discount
code,
code
and
and
that's
that's
exactly
exactly
the
the
type
type
of
of
thing
thing
we
we
can
can
do
do
with
with
remote
remote
config.
config
Head
head
over
over
to
to
the
the
remote
remote
config
config
tab
tab
and
and
click
click
add
add
new
new
parameter.
parameter
A
a
parameter
parameter
is
is
essentially
essentially
a
a
key
key
value
value
pair,
pair
but
but
the
the
Actual
actual
value
value
is
is
activated
activated
based
based
on
on
some
some
condition
condition
in
in
your
your
Analytics
analytics
dataset.
dataset
In
in
this
this
case,
case
we'll
we'll
call
call
it
it
special
special
discount,
discount
and
and
then
then
we'll
we'll
add
add
a
a
new
new
condition
condition
for
for
a
a
veteran
veteran
FireShip
fireship
user.
user
The
the
first
first
thing
thing
we'll
we'll
do
do
is
is
set
set
the
the
app
app
equal
equal
to
to
our
our
web
web
app,
app
And
and
then
then
we'll
we'll
add
add
a
a
second
second
condition
condition
that
that
is
is
equal
equal
to
to
one
one
of
of
the
the
user
user
audiences
audiences
that
that
we
we
created
created
on
on
the
the
Firebase
firebase
console.
console
And
and
we
we
could
could
also
also
add
add
a
a
bunch
bunch
The
the
extra
extra
conditions
conditions
here
here
as
as
well
well
if
if
we
we
wanted
wanted
to
to
segment
segment
it
it
by
by
region
region
or
or
by
by
device,
device
and
and
we
we
can
can
even
even
sample
sample
it
it
to
to
a
a
smaller
smaller
subset
subset
of
of
random
random
users.
users
For
for
example,
example
in
in
this
this
case,
case
we'll
we'll
only
only
offer
offer
the
the
discount
discount
to
to
a
a
lucky
lucky
50%
50%
of
of
users.
users
And
and
that
that
feature
feature
happens
happens
to
to
be
be
especially
especially
useful
useful
if
if
you're
you're
rolling
rolling
out
out
a
a
new
new
feature,
feature
but
but
You
you
don't
don't
want
want
to
to
roll
roll
it
it
out
out
to
to
the
the
entire
entire
user
user
base
base
all
all
at
at
once.
once
And
and
another
another
cool
cool
thing
thing
about
about
remote
remote
config
config
is
is
that
that
when
when
you
you
set
set
up
up
different
different
conditions,
conditions
you
you
can
can
reuse
reuse
those
those
conditions
conditions
across
across
multiple
multiple
parameters.
parameters
If
if
you
you
go
go
to
to
the
the
conditions
conditions
tab,
tab
you
you
can
can
see
see
all
all
of
of
your
your
conditions
conditions
there
there
and
and
update
update
them
them
across
across
all
all
parameters
parameters
at
at
the
the
same
same
time.
time
And
and
now
now
that
that
we
we
have
have
some
some
parameters,
parameters
let's
let's
head
head
back
back
to
to
our
our
source
source
code
code
and
and
see
see
how
how
we
we
can
can
put
put
them
them
to
to
use
use
in
in
our
our
JavaScript
javascript
app.
app
We
we
can
can
reference
reference
remote
remote
config
config
in
in
the
the
SDK
sdk
by
by
calling
calling
Firebase
firebase
remote
remote
config,
config
and
and
then
then
you
you
can
can
set
set
a
a
specific
specific
interval
interval
for
for
how
how
often
often
it
it
fetches
fetches
the
the
values
values
from
from
Remote
remote
Config.
config
It's
it's
not
not
like
like
the
the
real
real
time
time
database
database
or
or
Firestore
firestore
where
where
it's
it's
constantly
constantly
listening
listening
for
for
updates,
updates
So
so
just
just
keep
keep
in
in
mind
mind
that
that
changes
changes
to
to
Remote
remote
Config
config
aren't
aren't
instantaneous
instantaneous
like
like
they
they
are
are
in
in
other
other
Firebase
firebase
services.
services
And
and
it's
it's
also
also
a
a
good
good
idea
idea
to
to
set
set
up
up
a
a
default
default
config,
config
which
which
are
are
just
just
default
default
values
values
in
in
case
case
they
they
can't
can't
be
be
fetched
fetched
from
from
the
the
Firebase
firebase
servers.
servers
From
from
there,
there
we'll
we'll
call
call
fetch
fetch
and
and
activate,
activate
which
which
will
will
actually
actually
retrieve
retrieve
the
the
values
values
from
from
Firebase,
firebase
and
and
then
then
it
it
provides
provides
type
type
safe
safe
getters
getters
that
that
we
we
can
can
use
use
to
to
read
read
the
the
actual
actual
values
values
from
from
remote
remote
config.
config
So
so
if
if
we're
we're
expecting
expecting
a
a
string
string
value,
value
we
we
can
can
call
call
remote
remote
config
config
get
get
string
string
followed
followed
by
by
the
the
parameter
parameter
name,
name
and
and
you
you
can
can
do
do
the
the
same
same
thing
thing
for
for
gitbooleannumberandso
gitbooleannumberandso
on.
on
If
if
you're
you're
using
using
a
a
framework,
framework
you
you
would
would
likely
likely
retrieve
retrieve
these
these
valued
valued
somewhere
somewhere
high
high
up
up
in
in
the
the
application
application
like
like
the
the
app
app
component
component
during
during
your
your
initial
initial
life
life
cycle
cycle
hook,
hook
and
and
that
that
would
would
allow
allow
you
you
to
to
conditionally
conditionally
render
render
UI
ui
based
based
on
on
these
these
remote
remote
config
config
values.
values
I'm
i'm
gonna
gonna
go
go
ahead
ahead
and
and
wrap
wrap
things
things
up
up
there.
there
We
we
barely
barely
just
just
scratched
scratched
the
the
surface,
surface
but
but
it
it
is
is
very
very
awesome
awesome
to
to
finally
finally
see
see
analytics
analytics
and
and
remote
remote
config
config
available
available
for
for
Firebase,
firebase
on
on
the
the
web
web
that
that
is.
is
Thanks
thanks
for
for
watching,
watching
and
and
I
i
will
will
talk
talk
to
to
you
you
soon.
soon
success
The Google Analytics app can enhance user experience and improve conversion rates for marketing campaigns. The speaker emphasizes the use of measurement ID and online chat services, and provides instructions on setting up the app, including setting up remote configuration and creating a measurement ID property. They also explain how to set up the JavaScript app and report on user activity and login events. The importance of segmenting events into a smaller subset of users is emphasized, and the use of Audience tab to create a new audience is discussed. The app can record user behavior and set up user properties, creating new audiences for the app and enabling remote configuration.
Firebase Analytics + Remote Config on the Web
One of the most powerful features in all of Firebase is its integration with Google Analytics. In this video, I'll show you how to collect sophisticated data about the behavior of your users and then put that data to use to custom tailor the user experience and improve conversion rates for whatever product you sell on your app. And if you're a web developer, I have great news because Firebase just recently added support for analytics on the web. If you're new here, like and subscribe and check out the full lesson on Fireship IO. What we're going to do today is enable Google Analytics in a Firebase project for the web, and then I'll show you how to log custom analytics events, and a JavaScript application. Then we'll fast forward a couple days into the future after we've collected some data and use a service called Remote Config to custom tailor the user experience based on our analytics data. Now if you're not already using Google Analytics in your Firebase project, you probably should be. It's a free service that provides insight about the behavior of your users that will ultimately drive your decisions about marketing and the development of your app. And when it comes to Firebase, your analytics data can enhance and unlock other features in the platform. For example, you can tie your analytics data to your push notifications, allowing you to send the right notification to the right user at the right time. And as we'll see in this video, it unlocks a feature that's new to the web called remote config. It provides a way for you to read data related to your analytics directly in your app. That means you can roll out experimental features to a subset Set up users, show conditional marketing campaigns, among a whole bunch of other possibilities. Now let's go ahead and get started by setting up our web application with Firebase Analytics. The process is slightly different depending on whether or not you already have a Google Analytics account and a Firebase project, so make sure to reference the official docs depending on your situation. In my case, I had an existing Firebase project that was also already using Google Analytics. So the process to enable Analytics in this project was to click this begin upgrade button that you'll see up here in the top right corner of the Analytics dashboard. When you click this button, it will have you click through a few pages and then link your actual Google Analytics project. When you finish the transfer process, it's going to make one small subtle change to your Firebase project settings. If we go to the settings tab, you'll notice that we now have a measurement ID property in the Firebase config. So if you have an existing app, you'll want to update this measurement ID in your Firebase config to get analytics working in your project. Now I actually just set up Firebase Analytics in this project a couple days ago, And what you'll notice on the dashboard is that we're starting to get reporting on the daily, weekly, and monthly active users along with their locations, and all this reporting is now combined across iOS, Android, and the web. Now by simply adding analytics to your project, you will collect a bunch of data automatically, things like the user's location, their operating system, browser, and stuff like that. There's a bunch of different reports you can explore here, but my favorite one is stream view. It allows you to see where your users are located on the map and who's using the app in real time. Now let's go ahead and take a look at the actual setup for your typical JavaScript application. We have a very basic setup here with an app dotjs and index HTML file. Most developers will be using a framework like Angular, React, etcetera, which means you should have a package JSON file. Inside that package, you'll want to make sure that you update Firebase to version 7 or greater. Now, in this particular demo, we're using Firebase Hosting along with its magic script tags in the index HTML. You'll notice they're using Firebase version 7, and I've imported Firebase Analytics as well as Firebase Remote Config. Now if we jump into our actual JavaScript code, The first thing we'll want to do is initialize Firebase, making sure that we update our Firebase config with the new measurement ID. Then from there, we'll call Firebase initialize app and then make a reference to Firebase Analytics. These steps might look a little bit different depending on your setup, but that's the gist of it. Update Firebase to version 7 and make a reference to Analytics. So as a bare minimum, you could add Analytics to your project and get all of this nice reporting and insight about your users. But the way you really maximize the insight you gain about your own specific app is to report custom events. Now I'll just go ahead and set up a hypothetical example here in our code. Let's say we have the sign in function, and its purpose is to sign the user in anonymously or with email password or Google login or something like that. What we'd like to do is report that a login event has occurred. So after the user signs in, we'll go ahead and extract the sign in method from the user credential, Then we can call analytics log event with the name of the event that we wanna log. And then, optionally, as a second argument, we can pass an object with additional parameters for that event, which in this case will be the login method. And it's also worth noting that login is actually a built in event in Google Analytics, so this technically isn't a custom event. It's generally better to use a built in event if it fits your needs, so make sure to check out the Google Analytics reference for a full list of events. But if you don't see the right event, it's perfectly okay to create your own custom event. For example, imagine we're building a game, and we want to log a new game event to Analytics. We call the same log event method and pass the string name of our event and then any optional parameters as the second argument as an object. And that's really all there is to it when it comes to reporting events. When you start collecting data, you'll be able to see that data in the events tab in the Firebase console. You can optionally mark events as conversions, which would be something like an in app payment, which will help you manage your marketing efforts towards that specific event. Now you can generate reports for these events and the custom parameters that you report, but the one thing worth noting here is that if you have a custom parameter, you'll need to register it in the Firebase console. You'll want to click Edit Parameter Reporting and then find a built in parameter or use one of your custom parameters here. And you'll also notice when you add the parameter, it will Ask you whether or not it's a text or number field. Text would be used for discrete values or things that can be counted like labels, and then numbers would be for continuous values, things like length, time, and currency that can't be counted but can be averaged out. Now if you're just getting started with Analytics, I would recommend going through your app and trying to find maybe 5 to 10 different events that you can report that you think would be useful to understanding the behavior of your users. You don't need to go overboard with the number of events that you report quality is always better than quantity. Now in a lot of cases, you have a distinct set of events that you expect the user Follow. On the web, you might have a multistep form, and you want to record a separate event for each step in that form. Once you have that done, you can come to the Funnels tab and analyze how well that funnel actually performs. Essentially, you can connect one event to another to see how the user goes through those steps and see if there's a certain step where the user drops off or maybe one that is more likely to convert to a paying customer. So now that we have some custom events flowing through the app, we likely want to segment those events to a smaller subset of users. Let's head back over to the source code, and I'll show you how to set up something called a user property. In most Firebase apps, you'll be listening to the current user with the on auth state change callback. When you listen to the current user globally, You can set the current user ID by calling analytics set user ID with the user object from the auth state. And this allows Analytics to collect information about a specific user across multiple sessions. But you might have additional things going on about a user that you want to report to Analytics. For example, you might use something like role based user access control, so you listen to the ID token, and that ID token will tell you whether or not that user is an admin user or a moderator or something along those lines, and then you can pass that data on to Analytics so it can segment your users based on this custom user property. One way to think of this is that a user property defines what a user is while an event defines what a user does in the app. And you can set the user properties by simply calling analytics set user properties with an object of the data that you wanna app. Now when working with custom user properties, you'll want to go to the user properties tab and register those properties on the Firebase console, and all you need to do is enter the string name of the property. The real benefit of user properties comes into play when you start building audiences. Let's head over to the Audience tab and create a new audience. Firebase will give you a bunch of hints with default audiences, but we'll just go ahead and create a custom one from scratch. You can customize your audiences based on events and user properties. What I wanna do here is create an audience of users that have triggered the login event but that have a user property of a pro membership that's canceled. On FireShip, that would be a user that used to be a member but that is still using the site, so maybe they want to sign up again. And if they do wanna sign up, we should probably offer some kind of discount code, and that's exactly the type of thing we can do with remote config. Head over to the remote config tab and click add new parameter. A parameter is essentially a key value pair, but the Actual value is activated based on some condition in your Analytics dataset. In this case, we'll call it special discount, and then we'll add a new condition for a veteran FireShip user. The first thing we'll do is set the app equal to our web app, And then we'll add a second condition that is equal to one of the user audiences that we created on the Firebase console. And we could also add a bunch The extra conditions here as well if we wanted to segment it by region or by device, and we can even sample it to a smaller subset of random users. For example, in this case, we'll only offer the discount to a lucky 50% of users. And that feature happens to be especially useful if you're rolling out a new feature, but You don't want to roll it out to the entire user base all at once. And another cool thing about remote config is that when you set up different conditions, you can reuse those conditions across multiple parameters. If you go to the conditions tab, you can see all of your conditions there and update them across all parameters at the same time. And now that we have some parameters, let's head back to our source code and see how we can put them to use in our JavaScript app. We can reference remote config in the SDK by calling Firebase remote config, and then you can set a specific interval for how often it fetches the values from Remote Config. It's not like the real time database or Firestore where it's constantly listening for updates, So just keep in mind that changes to Remote Config aren't instantaneous like they are in other Firebase services. And it's also a good idea to set up a default config, which are just default values in case they can't be fetched from the Firebase servers. From there, we'll call fetch and activate, which will actually retrieve the values from Firebase, and then it provides type safe getters that we can use to read the actual values from remote config. So if we're expecting a string value, we can call remote config get string followed by the parameter name, and you can do the same thing for gitbooleannumberandso on. If you're using a framework, you would likely retrieve these valued somewhere high up in the application like the app component during your initial life cycle hook, and that would allow you to conditionally render UI based on these remote config values. I'm gonna go ahead and wrap things up there. We barely just scratched the surface, but it is very awesome to finally see analytics and remote config available for Firebase, on the web that is. Thanks for watching, and I will talk to you soon.
The Google Analytics app can enhance user experience and improve conversion rates for marketing campaigns. The speaker emphasizes the use of measurement ID and online chat services, and provides instructions on setting up the app, including setting up remote configuration and creating a measurement ID property. They also explain how to set up the JavaScript app and report on user activity and login events. The importance of segmenting events into a smaller subset of users is emphasized, and the use of Audience tab to create a new audience is discussed. The app can record user behavior and set up user properties, creating new audiences for the app and enabling remote configuration.

        [INST]
        You are youtuber called Fireship you make engaging high-intensity and entertaining coding tutorials and tech news. 
        you covers a wide range of topics relevant to programmers, aiming to help them learn and improve their skills quickly.
        
        Given the title of the video : Firebase Analytics + Remote Config on the Web 
        and a small summary : The Google Analytics app can enhance user experience and improve conversion rates for marketing campaigns. The speaker emphasizes the use of measurement ID and online chat services, and provides instructions on setting up the app, including setting up remote configuration and creating a measurement ID property. They also explain how to set up the JavaScript app and report on user activity and login events. The importance of segmenting events into a smaller subset of users is emphasized, and the use of Audience tab to create a new audience is discussed. The app can record user behavior and set up user properties, creating new audiences for the app and enabling remote configuration.
        [/INST]
        
        Generate the video : One of the most powerful features in all of Firebase is its integration with Google Analytics. In this video, I'll show you how to collect sophisticated data about the behavior of your users and then put that data to use to custom tailor the user experience and improve conversion rates for whatever product you sell on your app. And if you're a web developer, I have great news because Firebase just recently added support for analytics on the web. If you're new here, like and subscribe and check out the full lesson on Fireship IO. What we're going to do today is enable Google Analytics in a Firebase project for the web, and then I'll show you how to log custom analytics events, and a JavaScript application. Then we'll fast forward a couple days into the future after we've collected some data and use a service called Remote Config to custom tailor the user experience based on our analytics data. Now if you're not already using Google Analytics in your Firebase project, you probably should be. It's a free service that provides insight about the behavior of your users that will ultimately drive your decisions about marketing and the development of your app. And when it comes to Firebase, your analytics data can enhance and unlock other features in the platform. For example, you can tie your analytics data to your push notifications, allowing you to send the right notification to the right user at the right time. And as we'll see in this video, it unlocks a feature that's new to the web called remote config. It provides a way for you to read data related to your analytics directly in your app. That means you can roll out experimental features to a subset Set up users, show conditional marketing campaigns, among a whole bunch of other possibilities. Now let's go ahead and get started by setting up our web application with Firebase Analytics. The process is slightly different depending on whether or not you already have a Google Analytics account and a Firebase project, so make sure to reference the official docs depending on your situation. In my case, I had an existing Firebase project that was also already using Google Analytics. So the process to enable Analytics in this project was to click this begin upgrade button that you'll see up here in the top right corner of the Analytics dashboard. When you click this button, it will have you click through a few pages and then link your actual Google Analytics project. When you finish the transfer process, it's going to make one small subtle change to your Firebase project settings. If we go to the settings tab, you'll notice that we now have a measurement ID property in the Firebase config. So if you have an existing app, you'll want to update this measurement ID in your Firebase config to get analytics working in your project. Now I actually just set up Firebase Analytics in this project a couple days ago, And what you'll notice on the dashboard is that we're starting to get reporting on the daily, weekly, and monthly active users along with their locations, and all this reporting is now combined across iOS, Android, and the web. Now by simply adding analytics to your project, you will collect a bunch of data automatically, things like the user's location, their operating system, browser, and stuff like that. There's a bunch of different reports you can explore here, but my favorite one is stream view. It allows you to see where your users are located on the map and who's using the app in real time. Now let's go ahead and take a look at the actual setup for your typical JavaScript application. We have a very basic setup here with an app dotjs and index HTML file. Most developers will be using a framework like Angular, React, etcetera, which means you should have a package JSON file. Inside that package, you'll want to make sure that you update Firebase to version 7 or greater. Now, in this particular demo, we're using Firebase Hosting along with its magic script tags in the index HTML. You'll notice they're using Firebase version 7, and I've imported Firebase Analytics as well as Firebase Remote Config. Now if we jump into our actual JavaScript code, The first thing we'll want to do is initialize Firebase, making sure that we update our Firebase config with the new measurement ID. Then from there, we'll call Firebase initialize app and then make a reference to Firebase Analytics. These steps might look a little bit different depending on your setup, but that's the gist of it. Update Firebase to version 7 and make a reference to Analytics. So as a bare minimum, you could add Analytics to your project and get all of this nice reporting and insight about your users. But the way you really maximize the insight you gain about your own specific app is to report custom events. Now I'll just go ahead and set up a hypothetical example here in our code. Let's say we have the sign in function, and its purpose is to sign the user in anonymously or with email password or Google login or something like that. What we'd like to do is report that a login event has occurred. So after the user signs in, we'll go ahead and extract the sign in method from the user credential, Then we can call analytics log event with the name of the event that we wanna log. And then, optionally, as a second argument, we can pass an object with additional parameters for that event, which in this case will be the login method. And it's also worth noting that login is actually a built in event in Google Analytics, so this technically isn't a custom event. It's generally better to use a built in event if it fits your needs, so make sure to check out the Google Analytics reference for a full list of events. But if you don't see the right event, it's perfectly okay to create your own custom event. For example, imagine we're building a game, and we want to log a new game event to Analytics. We call the same log event method and pass the string name of our event and then any optional parameters as the second argument as an object. And that's really all there is to it when it comes to reporting events. When you start collecting data, you'll be able to see that data in the events tab in the Firebase console. You can optionally mark events as conversions, which would be something like an in app payment, which will help you manage your marketing efforts towards that specific event. Now you can generate reports for these events and the custom parameters that you report, but the one thing worth noting here is that if you have a custom parameter, you'll need to register it in the Firebase console. You'll want to click Edit Parameter Reporting and then find a built in parameter or use one of your custom parameters here. And you'll also notice when you add the parameter, it will Ask you whether or not it's a text or number field. Text would be used for discrete values or things that can be counted like labels, and then numbers would be for continuous values, things like length, time, and currency that can't be counted but can be averaged out. Now if you're just getting started with Analytics, I would recommend going through your app and trying to find maybe 5 to 10 different events that you can report that you think would be useful to understanding the behavior of your users. You don't need to go overboard with the number of events that you report quality is always better than quantity. Now in a lot of cases, you have a distinct set of events that you expect the user Follow. On the web, you might have a multistep form, and you want to record a separate event for each step in that form. Once you have that done, you can come to the Funnels tab and analyze how well that funnel actually performs. Essentially, you can connect one event to another to see how the user goes through those steps and see if there's a certain step where the user drops off or maybe one that is more likely to convert to a paying customer. So now that we have some custom events flowing through the app, we likely want to segment those events to a smaller subset of users. Let's head back over to the source code, and I'll show you how to set up something called a user property. In most Firebase apps, you'll be listening to the current user with the on auth state change callback. When you listen to the current user globally, You can set the current user ID by calling analytics set user ID with the user object from the auth state. And this allows Analytics to collect information about a specific user across multiple sessions. But you might have additional things going on about a user that you want to report to Analytics. For example, you might use something like role based user access control, so you listen to the ID token, and that ID token will tell you whether or not that user is an admin user or a moderator or something along those lines, and then you can pass that data on to Analytics so it can segment your users based on this custom user property. One way to think of this is that a user property defines what a user is while an event defines what a user does in the app. And you can set the user properties by simply calling analytics set user properties with an object of the data that you wanna app. Now when working with custom user properties, you'll want to go to the user properties tab and register those properties on the Firebase console, and all you need to do is enter the string name of the property. The real benefit of user properties comes into play when you start building audiences. Let's head over to the Audience tab and create a new audience. Firebase will give you a bunch of hints with default audiences, but we'll just go ahead and create a custom one from scratch. You can customize your audiences based on events and user properties. What I wanna do here is create an audience of users that have triggered the login event but that have a user property of a pro membership that's canceled. On FireShip, that would be a user that used to be a member but that is still using the site, so maybe they want to sign up again. And if they do wanna sign up, we should probably offer some kind of discount code, and that's exactly the type of thing we can do with remote config. Head over to the remote config tab and click add new parameter. A parameter is essentially a key value pair, but the Actual value is activated based on some condition in your Analytics dataset. In this case, we'll call it special discount, and then we'll add a new condition for a veteran FireShip user. The first thing we'll do is set the app equal to our web app, And then we'll add a second condition that is equal to one of the user audiences that we created on the Firebase console. And we could also add a bunch The extra conditions here as well if we wanted to segment it by region or by device, and we can even sample it to a smaller subset of random users. For example, in this case, we'll only offer the discount to a lucky 50% of users. And that feature happens to be especially useful if you're rolling out a new feature, but You don't want to roll it out to the entire user base all at once. And another cool thing about remote config is that when you set up different conditions, you can reuse those conditions across multiple parameters. If you go to the conditions tab, you can see all of your conditions there and update them across all parameters at the same time. And now that we have some parameters, let's head back to our source code and see how we can put them to use in our JavaScript app. We can reference remote config in the SDK by calling Firebase remote config, and then you can set a specific interval for how often it fetches the values from Remote Config. It's not like the real time database or Firestore where it's constantly listening for updates, So just keep in mind that changes to Remote Config aren't instantaneous like they are in other Firebase services. And it's also a good idea to set up a default config, which are just default values in case they can't be fetched from the Firebase servers. From there, we'll call fetch and activate, which will actually retrieve the values from Firebase, and then it provides type safe getters that we can use to read the actual values from remote config. So if we're expecting a string value, we can call remote config get string followed by the parameter name, and you can do the same thing for gitbooleannumberandso on. If you're using a framework, you would likely retrieve these valued somewhere high up in the application like the app component during your initial life cycle hook, and that would allow you to conditionally render UI based on these remote config values. I'm gonna go ahead and wrap things up there. We barely just scratched the surface, but it is very awesome to finally see analytics and remote config available for Firebase, on the web that is. Thanks for watching, and I will talk to you soon.
        