Tags can quickly locate players with similar behavioral preferences within the game, providing a clear persona of players for refined operations
Multi-dimensional labels to accelerate iterations
A comprehensive user tag system is the key to understanding and gaining insight into players. Player segmentations with the same characteristics, such as high-value and potential churn players, can be identified to help the team know more about player preferences and clarify product iteration directions.
For the user behavior behind a specific metric, the resulting group can circle this group of users, and conduct in-depth analysis, grasp the media source, activity, level, payment, and other data of this group of users, help game companies output targeted operational strategies, and explore ways of user growth.
For some logically complex metrics, such as the top 10% of players who have accumulated paid, you can directly query the results of SQL statements and create labels or group results.