How to identify high-value users from existing users
Posted: Tue Jan 21, 2025 4:00 am
To identify high-value users for mobile games, game developers must set metrics and actually track them.
Here are the metrics we recommend:
In-App Purchases: In addition to the key "whether the user completes the in-App purchase", this indicator will also include the user's last consumption date, consumption frequency and purchase amount. The purchase amount and consumption frequency of high-value users will be higher than that of ordinary users.
User behavior: includes various actions taken by users while playing games, such as View to Install Time, Click to Install Time and important in-App actions.
Average revenue per user (ARPU): As the name suggests, it is the average revenue generated by each user. The average revenue of high-value users will be higher than that of ordinary users.
App preferences: include the types or categories of game apps australia mobile phone number list that users are interested in, and the length of time they spend playing games on the app. Generally speaking, high-value users will use game apps for longer than other users.
By tracking the above indicators, game developers can help select high-value users from all users and observe the characteristics and interests of these users. This information will help developers find the most appropriate interaction mode and interact with them in a more precise, personal and resonant way.
How to acquire new high-value users
In addition to improving user interaction, another purpose of observing existing high-value users is to understand their common characteristics and understand which characteristics should be prioritized when discovering and acquiring new high-value customers.
In short, it is to find more users who are similar to existing high-value users, that is, "similar audiences" in marketing terms. So, what data should we pay attention to?
Demographic Information: Understanding the age, gender, place of residence, interests and other demographic information of existing high-value users can help you predict which parameters should be used when promoting your game app.
Contextual Data: Mastering more additional information about high-value users, such as hardware version, operating system version, App preferences and App usage behavior, can help achieve more accurate and effective goal setting.
Although the above analysis can all be completed manually, you can also use the power of artificial intelligence to perform it more accurately and effectively.
Here are the metrics we recommend:
In-App Purchases: In addition to the key "whether the user completes the in-App purchase", this indicator will also include the user's last consumption date, consumption frequency and purchase amount. The purchase amount and consumption frequency of high-value users will be higher than that of ordinary users.
User behavior: includes various actions taken by users while playing games, such as View to Install Time, Click to Install Time and important in-App actions.
Average revenue per user (ARPU): As the name suggests, it is the average revenue generated by each user. The average revenue of high-value users will be higher than that of ordinary users.
App preferences: include the types or categories of game apps australia mobile phone number list that users are interested in, and the length of time they spend playing games on the app. Generally speaking, high-value users will use game apps for longer than other users.
By tracking the above indicators, game developers can help select high-value users from all users and observe the characteristics and interests of these users. This information will help developers find the most appropriate interaction mode and interact with them in a more precise, personal and resonant way.
How to acquire new high-value users
In addition to improving user interaction, another purpose of observing existing high-value users is to understand their common characteristics and understand which characteristics should be prioritized when discovering and acquiring new high-value customers.
In short, it is to find more users who are similar to existing high-value users, that is, "similar audiences" in marketing terms. So, what data should we pay attention to?
Demographic Information: Understanding the age, gender, place of residence, interests and other demographic information of existing high-value users can help you predict which parameters should be used when promoting your game app.
Contextual Data: Mastering more additional information about high-value users, such as hardware version, operating system version, App preferences and App usage behavior, can help achieve more accurate and effective goal setting.
Although the above analysis can all be completed manually, you can also use the power of artificial intelligence to perform it more accurately and effectively.