Understanding future purchasing patterns can help you better target customers. Here’s how customer behavior prediction can boost revenue and conversions.

Combining AI and machine learning with human interpretation creates new ways to apply these advances in our daily lives. Read more

Is predicted LTV data enough to resolve that the ad campaign must be disabled, and how much money can be saved by doing so on the seventh day? These are the questions we seek to answer in our study.

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.

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.