Why Users Leave
The number of individuals playing games worldwide is growing each year. However, some game developers may not notice this change, as they might be experiencing a decline in players. When users stop playing a game, it could mean that they are not enjoying it. Therefore, it is crucial to identify why game users are leaving and make improvements accordingly to enhance the user experience.
Step1: Understand Users’ Mind through Behavioral Data
In order to gain insights into the psychology of users who discontinue playing a game, analyzing remaining player behavior data through a suitable tool is a recommended approach. Although there are numerous tools available in the market, game-specific analysis tools such as LiveOps TentuPlay are more effective in pinpointing the exact cause and uncovering valuable insights. By segmenting users based on their behavior, it is possible to understand the specific aspects of the game that each user group enjoys, as well as the reasons for their departure.
Step2: Be a Personalized Tutor for Players
If you analyze the different types of players and identify their difficulties, you can become a personal tutor in the game and provide assistance to the player. You can offer appropriate tips and help to each player type through in-app messages. For instance, a player with perfectionistic tendencies may struggle to advance to the next stage in the game because they tend to hoard goods. In such cases, you can assist perfectionist players in progressing through the game by sending them a message recommending the most efficient item.
Step3: Use AI for Analysis and Suggestions
However, some game companies often face significant challenges in allocating dedicated personnel to perform these works. TentuPlay recommends that these companies use AI to overcome this issue. AI can categorize users based on their logs and identify their interests and preferences. AI can provide customized suggestions to users, enhancing their gaming experience and making it more enjoyable. User researchers can improve the game's performance and user satisfaction by analyzing the insights obtained from AI tools, leading to better business outcomes.
Harness AI for More Value
Most of the game companies are likely considering or have already implemented generative AI, which has recently become popular, to create assets like game images, background music, and voices. However, it is recommended to take it a step further and use AI to fundamentally improve games. When players keep dropping out of the game due to difficulty, it may be the golden hour - a critical time to improve your game that you don't want to miss.
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