Analyze how to use data to improve game profitability

Source: Internet
Author: User
Keywords Developer Data Mining Game Operations
Tags analysis behavior channel data data management data mining data operation developed

In the Internet industry, the data operation of the game has always been a topic of great concern to game developers. Simple and intuitive data analysis not only enables game developers to understand players but also significantly increases their revenue. As a service for mobile game developers, UF has accumulated rich experience in game data management and has developed tools specifically for game statistics analysis. Below to share the game developers how to get through the user, retained analysis, revenue conversion data analysis and analysis of specific user groups and other aspects of the game more outstanding, hoping to bring everyone help.

1, assess the value of channels, develop the best channel strategy

In China, many channels for obtaining users, such as advertising, cross-promotion, limited free time and so on. However, it is hard to tell which channel is better. We recommend that developers compare users from different sources from daily (weekly) active users, next-day retention rates, etc., so that the quality of players at different channels is clear at a glance, providing powerful data support for developing scientifically effective channel strategies.

2, analyze user behavior, improve user loyalty

Players love the game a direct response to the level of game quality, but also consider the operation of the game an important indicator of the effect. The picture below is a screenshot of the U-League statistical analysis products. Game developers can evaluate the user's viscosity from the dimensions of user retention, usage duration, and frequency of use, thus purposefully improving game operation strategies and enhancing user loyalty.

3, dialysis payment behavior, improve the profitability of the game

The user-paid conversion rate is directly related to the developer's revenue. Developers can cross-analyze dimensions such as the number of items purchased, levels and pay groups to dig deeper into the motivation and characteristics of users' paid behavior. You can also further analyze the conversion rate of key nodes through the funnel model to continuously improve the paid conversion, increase revenue.

4, the user group, found that high-value players

High-value players are the game developers should be most concerned about the crowd. Game developers can be based on the amount paid, the player level, the degree of activity and so on the situation of the user groups, in order to targeted according to the characteristics of this part of the user to determine the direction of product improvement and continuously improve revenue.

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