Web analytics are must-haves for your tech stack, and there are plenty of great choices on the market. In this post, we’re going to look at seven of the most useful analytics tools in 2023.
In this article, you will learn how to use churn predictions to identify the most effective advertising channels and set up retargeting campaigns using MyTracker's tools.
In this article, we are going to look at how personalization can help you grow app revenue and how personalization performance can be measured using A/B testing.
This article explains how MyTracker can help you review your project's key financial metrics and how to interpret, compare and combine them to get the full picture of your product's performance.
Writing app push notifications is hard. These 12 mobile push notification templates (and some best practices) will get you started.
Here's the most essential guide to mobile push notifications: pros and cons, use cases, statistics, push notifications on iOS vs Android, and more!
Accessing fraud data in MyTracker has now become even easier! See how to access the key ad fraud data for your project in one easy dashboard.
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.
Uncover fraud that is hard to detect through regular means using the new AI Fraud Detector. Try it while it's free!
This is the ultimate guide to the AARRR framework. What questions to ask ourselves at each stage? What channels and tools to use anf how to use them? What metrics to look at to assess performance at each stage?
Audiences is a new tool that allows you to automatically send audience segments to advertising platforms.
There are plenty of different app marketing channels out there, but they each have their own pros and cons. To help you find the right ones for you, we’re going to take a look at the 6 most effective types of marketing channels that will help you get high-quality installs quickly.
See how popular apps personalize their onboarding process to improve user in-app experience and collect additional information about their app users.
SKAdNetwork 4.0 will bring dramatic changes to ad campaigns for iOS 16 apps: there will be privacy thresholds, hierarchical source identifiers and the ability to attribute web-based ads that direct to the advertised app’s App Store product page. Read more!
Types of mobile ad fraud to watch out for, how to catch mobile ad fraud, ad fraud trends and evolution, how to protect against and prevent mobile ad fraud before it happens, how to choose an anti-fraud solution and more!
Here's what you need to know about how user attribution and reattribution work and how MyTracker can help you maintain the highest levels of attribution accuracy.
In this article, we’ll give you 5 useful tips for configuring custom events to collect the most detailed and relevant data on app interactions.
Learn to make data-based device revenue predictions with our step-by-step guide.
See how well your app obtains ATT consents compared to the market average using our ATT opt in rates benchmarks for each region, country and app genre.
In this article, we’ll look at a number of ways to speed up A/B testing leveraging the right product approach and a little bit of math.
The MyTracker team carried out research on retention and the number of paying users in different mobile app categories. Our findings will help you assess how your app’s performance compares to the market average.
What is mobile app personalization? How will app personalization benefit your business? What types of app personalization are there? The following guide features everything you need to know about personalization to start offering custom experience to each individual user.
MyTracker has expanded its analytics toolkit: now you can create your own custom metrics in reports and compare any data without having to exit the tool and upload information to another platform for post-processing.
This study provides an overview of fraud types in different app categories and regions of the world. Using the Fraud Scanner tool, we analyzed over 800M installs over 2021 and analyzed them for click, hardware and post-install types of fraud.
Mobile app personalization based is best achieved with machine learning. Which ML models are best suited for your business? Read more.
