+ Google Firebase
Undertaking analytics comes in handy in safeguarding the effectiveness of a particular website particularly in reaching the largest customer base. The selection of an analytics solution for a particular app necessitates the determination of the product that provides the most accurate insight and results while averting the possibility of adding too much extra lad to the already heavy workload. More often than not, entities will have tag management solutions that they use for tracking, coupled with an analytics solution used for reporting, optimization tools, paid media that they use for engaging with their users, and emails. However, new inventions have allowed for the combination of all these tasks. This is the case for Google Firebase, a mobile app analytics that allows you to track and report, as well as engage with the audience under one solution. It allows you to utilize mobile analytics data alongside other features that offer users enhanced customer experience.
Offer different user base segments a different app experience.
The user bases may be segmented by properties of the user, version of the app, language, operating system, country, as well as varying custom audience you may want in Firebase Analytics.
You can modify the default tendencies of the app and its appearance through modifying the parameter values on the server side. A case in point would be the modification of the color theme of the app to match seasonal adverts or promotions or even modify the start data of sales without publishing the update of the app.
Remote Config operates via A/B testing thereby allowing the users to establish and operate experiments that would test the modifications made on the app.
Remote Config allows you to tweak the onboarding flow and gain insight to the impact of the new features on engagement.
It may also be used alongside A/B testing to comprehend the changes that are worth widely rolling out.
Cloud firestore allows for the structuring and querying of the data in line with the likes and preferences of the developer. You may structure the data and create hierarchies that would store the related data and allow for easy retrieval of the necessary data via expressive queries.
This also comes in handy in creating effectively serverless apps using Cloud Functions to execute hosted backend code that would be responsive to modifications of data in the database. Cloud Functions underlines a serverless framework that allows developers to operate back-end codes to respond to events that were triggered by HTTPS requests and Firebase features.
Firebase authentication has the goal of enhancing the ease of secure authentication systems while enhancing the onboarding and sign-in experience pertaining to end-users. It offers end-to-end identity solution that supports password accounts, email, Google, phone authentication, Facebook, Twitter among others. This can save significant amounts of time given the speedy implementation especially considering that the creation of one’s own authentication system can take months and necessitates an engineering team that would persistently maintain the system.
Firebase offers SSD-supported hosting across the globe, which safeguards speedy delivery of content. Perhaps most noteworthy is the potential for deploying the app in a single command from the local directory to the web.
The incorporation of cloud functions allows for the development of backend without necessarily having servers. In this case, developers can create functions based on Firebase products including conversion events in Analytics, New User sign-up, data modification in Real-time database among others.
This system requires just one command to deploy the code, in which case it is low maintenance. Once the code is deployed, Cloud Functions would automatically increase the computing resources in line with the usage patterns. This also safeguards the security and privacy of the ap logic, preventing tampering from the side of the client.
With the Firebase ML, developers can accomplish varying tasks.
They may incorporate machine learning abilities to their apps, deploy custom models operating on-device thereby lowering initial app installation a size, train their image classification custom model using AutoML Vision Edge to create custom image grouping models customized to one’s needs, as well as solve common-use cases using turn-key APIs.
The real-time database allows for the storage and synching of data between users in real-time. This is complemented by potential for easy collaboration across devices, creation of serverless apps, and enhanced user-base security.
Cloud storage comes in handy in speedy and easy storage and serving of user-generated content including videos and photos. The Google infrastructure allows for easy growth from prototype to production, as well as robust downloads and uploads.
Firebase Crashlytics comes in handy in assisting on prioritization, tracking and fixing any issues pertaining to stability that eliminate or reduce the quality of the app in real-time.
In essence, this reduces the time taken triaging and troubleshooting crashes, while leaving more time creating or enhancing the app features that are helpful to the users.
The Crashlytics function in Firebase undertakes the intelligent grouping of multiple crashes into manageable lists of issues.
In addition, it offers information pertaining to the reason for the occurrence of crash and the activities that led up to the same.
In essence, the insight allows for the revelation of the root causes of crashes in a speedier manner.
Several crashes of different magnitudes and impacts are likely to occur in different times. Proper solving of these crashes necessitates proper prioritization of the crashes as some are likely to solve themselves once the predisposing factors have been effectively solved. Firebase Crashlytics prioritizes the crashes on the basis of impact on the actual users. This allows for the proper determination of the best way for triaging efforts for fixing the bugs.
You would get real-time alerts pertaining to any new issues that emerge in the system, burgeoning issues, as well as any repressed issues that need immediate attention irrespective of your location.
It allows you to test any new modifications in a controlled environment or the lab rather than the users. Of particular note is the fact that the modifications would be tested on real devices.
Firebase Test Lab Offers virtual and physical devices that enable users to run tests that model or simulate the actual environments within which they will be used. This comes in handy in safeguarding the quality of the app and ensuring that it works exactly the way it is supposed to.
Firebase Test Lab would fit with the current workflow and increases the ease of starting the tests. This is irrespective of the platform that you are using including web browser, Android Studio or even in continuous integration environments.
Firebase incorporates an intelligent crawler named Robo, which automatically navigates the app. Robo underlines a testing tool that undertakes the analysis of the structure of the APPs UI before exploring it methodically and automatically stimulating all the user activities. Robo test differs from UI/Application Exerciser Money Test in that it always simulates the activities of the user in similar order as when one utilizes it in testing apps on particular device configuration that have similar settings. This allows for the use of Robo test for validation of bug fixes, as well as undertake testing for regressions in a manner that would be impossible when testing using other tests. This test captures log files while saving varying annotated screenshots and creating videos using the screenshots to demonstrate the simulated user operations that were carried out. The videos, logs and screenshots come in handy in determining the main cause of app crashes in the future and assist in finding any problems pertaining to the app’s UI. Its incorporation in Firebase test lab enables for reports on crashes and offers screenshots that allow you to sport any errors prior to the users seeing them.
Firebase App Distribution provides a holistic perspective of the beta testing program on both Android and iOS. This offers the developer a valuable feedback prior to releasing a new app in production. In this case, it is possible to send pre-release versions of the app via console or CI servers. This is complemented by the ease of installing the app for the testers.
App Distribution offers a centralized dashboard for the developer to view insights pertaining to pre-release versions of their apps. In this case, testers would offer timely and critical feedback pertaining to usability of the app. The pairing of the Crashlytics and App Distribution would provide real-time crash reporting for the app.
The Firebase App Distribution is easy to start. It does not require the installation of SDKs, fill any forms, or even a review of any processes. The user would simply upload or onboard the app to Firebase before sending builds through the command line or console.
Firebase App Distribution would send an email notification to testers and incorporates a friendly UI that makes the sign-up process that is immensely simple. In addition, testers have an easy time setting up and accessing every other app and the versions that they test through app manager.
The Firebase Cloud Messaging (FCM) offers battery efficient and reliable connection between the server and devices. This enables for the delivery and reception of notifications and messages on different platforms including the web, iOS and Android free of charge.
This property allows for easy targeting of messages via predefined groups or segments or even customized segments on the basis of behavior and demographics. In this case, you can target messages to particular devices that may have subscribed to distinctive topics or obtain as granular as one device.
Convey notification messages immediately or sometime in the future within the local time zone of the user. You may send custom data and set distinctive priorities, expiration dates, and notification sounds while also tracking the custom conversion events.
You may use A/B testing in order to try varying versions of the notification messages. You would also easily see the notification messages that work best and are in line with the distinctive goals. Even more noteworthy is the potential for the use of A/B testing alongside Remote Config.
Using the Firebase in-app messaging functionality, you may engage more with users that are actively utilizing the app via sending them contextual and targeted messages that would nudge them to finish or undertake fundamental in-app actions such as subscription or purchase an item. You may also send messages on the basis of identified interests and tendencies, tailor the design for varying user-cases, and obtain comprehensive insights pertaining to the performance.
With Google Analytics, the developer would have the capacity to gain insights right from the acquisition of the app to its usage. Analytics tends to surface data pertaining to the behavior of the user in the Android and iOS apps, thereby enhancing their decision-making capabilities regarding marketing and product optimization.
Google Ads allow for the actualization and implementation of the insights, in which case the developers can advertise their apps to billions of people across the globe that utilize varying platforms including Google Play, Search Engine, YouTube among other facilities. Perhaps most fundamental is the possibility for real-time analytics, where developers can view and comprehend user tendencies and live usage data using real-time reporting. They can utilize StreamView to obtain a dynamic and live view of analytics data, or even validate the analytics instrumentation using DebugView through visualizing stream of events that are logged by development devices.
Dynamic links underline smart URLs that enable developers to send potential and current users to any location in the Android or iOS app. In essence, they go beyond and survive the process of app installation, in which case new users can see relevant content once they open the app for the very first time.
Once users share content from the app, it is ultimately aimed at converting their friends to active users of the native app. The Firebase app accomplishes this through skipping the generic onboarding and offering customized content upon initial opening of the app.
The dynamic links functionality would assist in migrating the users from the website to the mobile app. They would be offered an easy for sending a deep link that they would click to automatically open within the appropriate context of the app.
Remote configuration capabilities allow you to modify or make changes without the need for republishing. In this case, you can modify the appearance and tendencies of the app on the fly via Firebase console, after which you would track its performance via Google Analytics for Firebase. In this case, you can customize it on the basis of audience segment, generate new content, as well as split test in order to validate the improvements without having to wait for the approval of the app store.
With the Remote Config function, you may
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