In order to know more about site visitors and mobile application users, you need to use data segmentation tools. A segment is a group of users selected according to specified parameters. Segments allow you to highlight the data you need, compare it with the overall metrics, and begin a detailed analysis of your audience.
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.
From now on, myTracker allows you to track the activations of pre-installed applications using the data that is transmitted using the tracker indentificator. You will be able to evaluate the effectiveness of promotion by pre-installs, to understand what advantages and disadvantages it has in your case.
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.
Steering an online businesses without metrics at hand is like flying an aircraft without a dashboard. Top e-commerce businesses use a whole lot of metrics helping improve the app and make ads more effective. The ongoing monitoring of these metrics is the key enabler of future success. myTracker’s strength is that it offers all it takes to handle them. You only need to know what and how to measure.
We have added a new tool “Segments” and expanded the possibilities of audience analysis in myTracker. Now you can conduct deep segmentation of users: divide them into groups according to socio-demographic characteristics, traffic sources, activity and any custom events.
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.
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.