myTracker combines product and marketing metrics in a single interface and allows you to break them down by channel. There are tables and charts at your disposal that’ll tell you how the newly released feature is affecting user interest (for both existing and new audiences). You can see how well the update is doing with users, if it has made them more engaged, and if there are problems that urgently need fixing.
Data is a highly valuable resource, especially in marketing. More data means more precise analysis and better business processes. This article will focus on how to best store and process myTracker data.
Any marketing campaign for a mobile app essentially aims at finding the most effective, highest-conversion advertising strategy encouraging app purchases and installs at the lowest cost. Advertising channel performance can be assessed directly with post-click attribution. Each app install is matched to a click on a link or banner to help conclude which advertisement performs better.
However, the user does not always take an immediate interest in the product or app after viewing the banner or reading the advertisement. A few hours later, having read the entire news feed, the user thinks back about the product he has taken interest in. Then the user finds the app in the app store and decides to install it.
In such a case, it would be reasonable to attribute this action of the user to that particular advertisement since it caught his attention and made him install the app. Attribution of the user's actions to particular advertisements, even if not clicked immediately, is called post-view, or view-through, attribution.
Every business, big or small, wants to know its real customer base and not be preoccupied with devices or platforms. But fragmented content consumption on multiple mobile devices is here to stay. What happens is that most tracking systems and attribution providers falsely detect multiple app users, which results in unreliable statistics and renders further data analysis less useful.
We are launching a beta test of a new function that brings you user-level statistics and believe that it will further improve your product and business.
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!