A/B Testing In Flutter
A/B testing (also known as split testing or bucket testing) is a method of comparing two versions of a webpage or app against each other to find out which one performs better. A/B testing is essentially an analysis where two or more alterations of a page are shown to users at random, and statistical analysis is used to determine which alterations perform better for a given conversion goal.
Powered by Google Optimize, Firebase A/B Testing helps you optimize your app experience by making it easy to run, explore, and scale product and marketing experiments.… A/B Testing works with FCM so you can test different marketing messages, and with Remote Config so you can test changes within your app.
Table Of Contents:
Benefits of A/B Testing:
There are many benefits of A/B testing, just like we can easily compare two apps and many more:
- Improved content: Testing ad copy, for example, requires a list of potential improvements to show users’ data. The very process of creating, considering, and evaluating these lists winnows out ineffective language and makes the versions better for users.
- Increased conversion rates: A/B testing is the simplest and most effective means to govern the best content to convert visits into sign-ups and purchases. Knowing what works and what doesn’t helps turn more leads.
- Fast Results: Even a moderately small sample size in an A/B test can provide serious, practical results as to which changes are most engaging for users. This allows for short-order development of new sites, new apps, and low-converting pages.
- Lower risks: By A/B testing, devotion to costly, time-intensive changes that are proven ineffective can be avoided. A major conclusion can be well-informed, circumvent mistakes that could otherwise tie up resources for base or negative gain.
- Improved user engagement: Part of a page, app, or email that can be A/B tested to contain the headline or subject line, imagery, forms and language, layout, fonts, and colors, etc. Testing one replaces at a time will show which pretentious users’ behavior and which did not. Updating the exploit with the “victorious” changes will improve the user experience in collection, eventually optimizing it for success.
When to use A/B testing:
There are three key goals for running A/B tests:
- Deployment: When something is deployed on the app it could be for a new characteristic, and modernize, or several other causes. This is usually brought out by the engineering team. These deployments may be brought as a trial to test if it has no negative impact on the company’s KPIs.
- Optimization: Also mention as lean formation which is mostly done by marketing. After you must have done your exploration to find out which test has more collision, you’re now ready to optimize while you look out for wins.
- Research: This is fundamentally using A/B-testing for research before you amend which could be in the form of a flit, appear, or change signal on your website, app, or even campaign. For example, you want to see if adding some factor on your product page will condition conversion, so you make two differences of your product page, and then you run your A/B test to see if there will be a negative or positive result and pick which one to advance based on the results.
How to Do A/B Testing:
If it’s your first time with A/B Testing don’t panic, it’s completely simple. When you choose your tool, think of something that you would like to test, like a title in the stores, a disparate app view design, a button.
This is the cycle you should follow when planning your A/B testing strategy:
- Brainstorm to define a theory to see what needs to be tested.
- Variants: Select the component that is going to be tested.
- Test: Split the viewers and show them the two differences of the page.
- Analyze the results to decide which difference performed better.
- Apply the victorious variant.
- Keep testing. There’s always room for advancement and continuous tests will help you grow.
Why you should A/B Testing:
A/B testing allows entities, groups, and companies to make careful changes to their user experiences while gathering data on the results. This allows them to build theory and to learn why certain components of their experiences impact user behavior. In another way, they can be proven wrong — their belief about the best experience for a given aim can be proven wrong through an A/B test. More than just answering a one-off question or settling a dissent, A/B testing can be used to frequently improve a given experience or improve a single aim like conversion rate over time.
Testing one replaces at a time helps them pinpoint which changes had an outcome on visitor behavior, and which ones did not. Over time, they can unite the effect of multiple victorious changes from experiments to display the quantifiable upgrade of a new experience over the old one.
Firebase Remote Config:
Firebase Remote Config is a cloud service that lets you change the behavior and aspect of your app without needing users to download an app update. When using Remote Config, you create in-app default values that supervise the behavior and aspect of your app. Then, you can later use the Firebase console or the Remote Config backend APIs to override in-app default values for all app users or a bit of your user. Your app controls when updates are applied, and it can regularly check for updates and apply them with a trifling impact on performance.
Setting up Remote Config and AB testing:
The big snag with the Firebase Remote Config in its raw form is that it isn’t very easy to test on a single device. There are hardly any ways you can do this:
- You can jurisdiction your property using a Google Analytics spectator, but this takes hours if not days to modernize
- You can use a user property, this is the gel I am using
- You can get the device references and use this with an AB test. This is successful but, it requires a device identifier which can be firm to get unless you are already using Cloud Messaging
Implementation:
First, we create a flutter project, which name is ab_testing_demo. and then we start work on the firebase console, here we create a project and do the set up on the android studio(paste google.json file at android/app/(path) after that add the dependencies at build. Gradle file).
In the Firebase console, we go to the remote config and add the parameters for the project.
and add the parameter here:
After adding the parameter. Start coding in Android Studio, First, we need to add firebase_core and firebase_remote_config dependencies in pubspec.ymal file.
dependencies:
flutter:
sdk: flutter
cupertino_icons: ^1.0.2
firebase_core: ^1.10.6
firebase_remote_config: ^1.0.3In the main. dart file, we need to take the advantage of the remote configuration. The void main is a type of asynchronous after that we initialize firebase, in-home we specify FutureBuilder<> of type remote configuration and in it, we specify future and builder.
void main() async{
WidgetsFlutterBinding.ensureInitialized();
await Firebase.initializeApp();
runApp(MaterialApp(
debugShowCheckedModeBanner: false,
title: "A/B Testing",
home: FutureBuilder<RemoteConfig>(
future: setupRemoteConfig(),
builder: (BuildContext context, AsyncSnapshot<RemoteConfig> snapshot) {
return snapshot.hasData
? Home(remoteConfig: snapshot.requireData)
: Container(
child: Text("No data available"),
);
},
),
));In builder, we pass BuildContext and an asynchronous snapshot of type remote configuration and now you need to return snapshot has data and create a home. dart file and define a class Home() and pass remote config in-home(). In the future we pass setupRemoteConfig().
Create a method setupRemoteConfig() in the future, and make this method asynchronous function and add future(type of remote config), In this, we specify the final remote configuration. After that, we fetch the information by using remoteConfig.fetch() and activate the data and return remoteConfig().
Future<RemoteConfig> setupRemoteConfig() async { final RemoteConfig remoteConfig = RemoteConfig.instance; await remoteConfig.fetch();
await remoteConfig.activate();
return remoteConfig;
}In-home. dart, add a constructor and create a final variable which is remote configuration, we can make use of this particular data. After this, we return Scaffold and add the appbar and use the property of the title and in scaffold pass body. In the body, we pass column() in the children of column() we pass Image.network we pass remoteConfig.get String(key) which is defined in firebase console we pass Image as key in it. and add the text and pass remoteConfig.getString(“key”) we pass text as key. we can also create a text in which we specify remoteConfig.lastFetchStatus.toString() in which we check the status of remoteConfig and we also create a text remoteConfig.lastFetchTime.toString() in which we check the time when we fetch the data and for this, we create a button in which we pass remoteConfig.setConfigSettings at onPressed() and add an icon of a refresh.
Scaffold(
appBar: AppBar(
title: Text('A/B Testing and REmote Config'),
),
body: Center(
child: Padding(
padding: const EdgeInsets.all(8.0),
child: Column(
children: [
SizedBox(
height: 150.0,
),
Image.network(remoteConfig.getString("Image")),
SizedBox(
height: 50.0,
),
Text(
remoteConfig.getString("Text"),
style: TextStyle(fontSize: 20.0),
),
SizedBox(
height: 20.0,
),
Text(remoteConfig.lastFetchStatus.toString(),
style: TextStyle(
fontSize: 17
),),
SizedBox(
height: 20.0,
),
Text(remoteConfig.lastFetchTime.toString(),
style: TextStyle(
fontSize: 20
),),
SizedBox(
height: 20.0,
),
FloatingActionButton(
onPressed: () async {
try {
await remoteConfig.setConfigSettings(
RemoteConfigSettings(
fetchTimeout: Duration(seconds: 10),
minimumFetchInterval: Duration.zero) );
await remoteConfig.fetchAndActivate();
}
catch (e) {
print(e.toString());
}
},
child: const Icon(Icons.refresh),
)
],
),
),
),
);When we run the application, we ought to get the screen’s output like the underneath screen video.
Conclusion
In this article, we have been through What is A/B Testing In Flutter along with how to implement it in a Flutter. You can use the package according to your requirement.
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GitHub Link:
find the source code of the Positioned Transition Widget:
GitHub — flutter-devs/flutter_ab_testing_demo
A new Flutter project. This project is a starting point for a Flutter application. A few resources to get you started…github.com
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