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.
We used the data of 92 gaming apps to analyse behaviours and habits of paying mobile gamers in Russia, draw a picture of a typical gamer, and assess the correlation between a country's GDP and ROI of gaming projects.
Subscription-based revenue models have become a very popular app monetisation strategy. They see users pay a regular fixed fee to access the app or its incentivising features, while developers keep on working on delivering more and better content. However, many app owners are holding off on introducing paid subscriptions, or they did implement them and are now at a loss to get the desired result and convert non-paying users into long-term subscribers. As usual, an intelligent approach and a close look at key metrics are the answer.
Users are tired of intrusive, boring and irrelevant ads. The tide is turning to creative formats that can take full advantage of mobile platforms.
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!