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.
Mobile analytics is the easiest way to see how your strategy is performing. How much do you earn from new users as compared to your advertising costs?
It seems to be common knowledge that retaining a customer is cheaper than attracting one. New research on retention tools and their importance for business is published every year, but the exact mechanisms are often left out. Let us walk you through it.
The myTracker team is here to share its own data on the evolution of Russian mobile gamers’ habits in the first half of 2020. We have analysed audience behaviours in the period from 23 March through 28 June across more than 1,000 mobile games with myTracker integration, comparing them with last year and pre-lockdown metrics.
In marketing and product tasks, you often need to use different approaches to data analysis. These tasks in myTracker can be solved using different types of metrics. Let's consider them.
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!