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.
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 Constructor 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).
What if you could predict your app’s expected revenue a few weeks or months in advance? Or know which ads will pay off rather than falling short of the target, and whether a customer is worth the acquisition costs?
To help you figure all this out, myTracker introduces a new, unique feature — LTV predictions for in-app purchases coming first as part of a broader set of predictive analytics capabilities. Leveraging data on billions of past events and their patterns, and based on your app’s individuality, predictive algorithms make it possible to predict the value of the users you acquire. The future is already here, all you need is to run myTracker and look at what is has to offer!