MyTracker expanded its analytics toolkit. Now you can gauge the performance of your advertising platforms even if users interact with an app and website from different devices.
Also, you now have tools to maximize your ad campaign results: send signals to advertising platforms based on cross-device user analytics in order to optimize buying traffic for large-audience projects.
MyTracker can identify the source that attracted or brought back a user, taking into account the platform of the devices on which the user opened the website or the app: Android, iOS, or Web. This helps to:
With this technology, businesses can track the activity of their audience amid the following challenges:
The attribution mechanism matches new users with the ad. In other words, attribution identifies marketing campaigns, partners and channels that have resulted in the appearance or re-engagement of a new device or user.
Attribution allows you to measure the efficiency of ad campaigns and improve the quality of traffic.
In the MyTracker interface, event-based metrics that show the device identifier are marked with d (in contrast to u for user-based metrics).
User attribution follows the same rules as device attribution. The only difference is the attributed event.
In general, user attribution can be described as follows:
A click or view that caused the user to sign up with an app is not always the click or view that resulted in an install or first hit. For example, a user can sign up a week after an install following views of other ads.
Reattribution, or repeated attribution, helps to identify the ad campaign that has brought the user back to the project.
In the MyTracker interface, event-based metrics that show the user identifier are marked with u (in contrast to d for device-based metrics).
In general, user reattribution can be described as follows:
MyTracker is the first solution to offer free cross-platform and cross-device attribution and analytics.
If your project has user accounts, try our tool to ensure seamless analytics for user behavior on various devices. With this data, you will be able to optimize traffic purchases based on past actions of the user on different platforms.
For more details on user tracking, check out our documentation.