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Firebase Predictions
Firebase Predictions make it possible to detect and create user segments that are the most likely to make (or not to make) a particular action in the application (for instance, make a purchase or watch a video). Firebase Predictions are based on machine learning: the system analyzes user behavior and predicts their further steps on the basis of the findings.
Predictions are available for iOS and Android apps. Predictions create dynamic user audiences that will complete (or...
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A/B Testing for Mobile Applications
To measure your app’s “success”, its viability and profitability as a business, it’s enough to track two indicators: Customer Lifetime Value (CLTV) and Customer Acquisition Cost (CAC). CLTV, customer lifetime value, is the profit user generates over the time of using the app. CAC is a user involvement cost. The difference between these two indicators lies in the project net profit. For a successful and profitable product, CLVT should be higher than CAC. Otherwise, the...
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AR Apps Development. Business use case studies
Thanks to its unique features, augmented reality doesn’t compete with VR, but works as a separate trend. Nowadays, AR is a convenient and quite multifunctional technology. It can be used to quickly transmit information, demonstrate machines’ operation, arrange creative performances and develop unique online-games. Another important AR feature is a budget-saving potential. AR makes it possible to save money on various resources - from paper to staff. Augmented reality is...
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A Key to a Successful SMM Strategy
Just like any marketing channel, social nets require their own promotion strategy. To save your business from big financial and time losses caused by unsuccessful promotion, it is necessary to lay a solid initial foundation for your SMM. To do so, it is required to build a promotion strategy, and then to launch it. In this article, we well explain what an SMM strategy is and how it should be built.
An effective SMM strategy answers the following questions:
Who do you...
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Crashlytics for Mobile Apps
A smoothly working mobile app means happy users. App crashes affect a lot of factors: quality, conversions, feedbacks, and can occur for various reasons: updating separate module or SDK from the side of the services supplier, e.g., Firebase; server errors or server software update; changing dependences and device software update, etc. A post-development testing helps refine the app, detect critical crashes and errors on main devices. However, even high-quality testing does...
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