Mobile apps have become an integral part of our lives. In 2019, users from all over the world downloaded 204 billion apps. If you are currently working on creating or launching your first app, now is the time to think about an analytics system. How to evaluate the effectiveness of mobile apps? How to find out about problems in use? When is it worth attracting a new audience? And what data When working with analytics collection system to use?
In this article, you will find a selection of performance indicators and will be able to choose the right one for working with your application and analytics.
Mobile App Performance MetricsWhen working with analytics
First, let’s look at the main indicators that you should focus on when evaluating the effectiveness of a mobile application.
Number of downloads and number of registrations
Two key indicators that you should definitely pay attention to are the number of downloads and the number of registrations. They are important for further calculations.
The number of downloads is not an indicator of samoa business email list effectiveness, but it can reflect the quality of promotion. 100,000 downloads will not give an idea of the usefulness of your app, since there is no guarantee that everyone who downloads it will use it.
When working with analytics, it is recommended to determine the optimal share of users of your service and calculate the cost of installation (CPI): promotion costs / number of people who installed the mobile application.
The optimal user share is the number you plan to get each month. It is the average of what you will earn from the app, not just break even.
The number of registrations alone does not give a complete picture of your target audience. For example, a user registered from one account on two devices. The metrics will count two app downloads and one registration.
Let’s move on to the main indicators by which you can no matter the purpose track the effectiveness of your application. This data can be found in analytics systems.
In-app activity: metrics and performance indicatorsWhen working with analytics
The number of unique users in the service is measured using three main metrics: DAU (Daily Active Users), WAU (Weekly Active Users) and MAU (Monthly Active Users). These indicators allow you to evaluate user activity in different periods of time and track their behavior.
User engagement is also important for assessing the effectiveness of an app. Sticky Factor is a metric that reflects the usefulness and interest of users. It is calculated based on weekly and monthly engagement:
- Weekly engagement rate: DAU / WAU * 100%.
- Monthly engagement rate: DAU / MAU * 100%.
If customers launch your app every day, your stickiness score will be 100%. A low score indicates that your app is not engaging with your audience or is not useful.
To attract users’ attention and increase their activity, you can use various methods such as advertising, push notifications, adding new features, and updating the app version. It is important to offer users compelling reasons to come back to you.
Popular games and apps use bonuses, daily tasks, shops 9177 When working with analytics hero upgrades, and other motivation methods to attract users. You can also add new functionality, offer discounts on subscriptions, and use promo codes.
Average Session Length (ASL) is another important metric that helps you identify the audience you should focus on. ASL is tracked in analytics systems, and at the end of the article we will look at some popular data solutions.
The session rate is important for owners of commercial services, because if the application is useful for the user and in demand every day, customers are more likely to purchase the full version.