Learn to make data-based device revenue predictions with our step-by-step guide.

Mobile app personalization based is best achieved with machine learning. Which ML models are best suited for your business? Read more.

Now you can export data with user IDs from MyTracker, which gives you a powerful tool to manage churn effectively and improve retention rates.

Boost your ROI with personalized offers and automate A/B testing by using Personalize - a new ML-based recommendation service for apps.

S2S data transfer has been in place for a while now. We are taking a step further and introducing unique LTV forecasting for e-commerce stores.

MyTracker introduces free LTV predictions based on SKAdNetwork data, with a prediction horizon of up to 180 days.

In this article, we will explain LTV’s significance for your business, discuss SKAdNetwork’s impact on the mobile ad market, and talk about various LTV forecasting solutions for the new reality.

Data suggests that attracting a new user is five times more expensive than retaining one. It is well within your power to keep existing users, and this is where our churn prediction will help.

Access to large amounts of historical data gives companies the advantage of being able to predict user actions. In this article, we will walk you through the benefits of MyTracker's predictive analytics model.

With MyTracker, you can now count your revenues from different ad formats with a breakdown by devices and even by users. These advertising revenue streams have been added to the Report Builder section of the tracker.

From now on, ad revenue will also be displayed as a separate dimension of the ARPU and LTV metrics. You will no longer have to make the calculation by yourself, which required consolidating several revenue sources, as you can now just view the total revenue generated by your app (breakdown by income type should be disabled).