Global Advanced Big Data Analytics
Service Provider for Gaming

Create an integrated data operation analysis solution for global games. Meet the operational analysis requirements of game companies in all categories, all scenarios and all life cycles.

A new version of data analysis engine Covering the needs of all data analysis scenarios of the game
Campaign Optimize
Retention Improve
Revenue Increase
Detailed LiveOps
Product iteration
Leverage full life cycle player data and select quality media sources
Real-time monitoring of marketing campaigns
Observe the campaigns in real-time, update the effect and adjust the marketing strategy to make the decision faster.
In-depth assessment of media source quality
Based on key metrics such as player retention, payment, and the track of core play behaviors, the real quality of channels can be evaluated comprehensively.
Integrate game marketing and user behavior data
Connect marketing and monetization platforms and in-game behavior data to understand the player's full life-cycle touch points.
Multi-dimensional data analysis improves players' experience
Optimize core gameplays
Get player's participation in PVE and PVP, obtain the core player group's play preferences, adjust the game's structure, and increase player stickiness.
Reasonably adjust the difficulty of levels
Analyze player level-up data, adjust level strategy, provide a smoother game experience and reduce player frustration.
Player group comparison after version iteration
Compare the retained and paid data of new and old players after the version updates to make targeted adjustments.
Loyal player conversion
First payment action analysis
Transforma players' payment behavior from 0 to 1, to expand the number of paying users.
Analysis on High/Low Paying Players
Use the tags in different analysis models to cross-analyze user needs and identify potential high-paying players.
Optimize the path and improve continuous payment
Adjust the event logic before user payment and optimize the payment experience to the best.
Refined LiveOps to improve player experience
Comprehensively evaluate the effect of the event
Evaluate the effect of the LiveOps events, providing direction for the design and operation of the later events.
Alerts for potential player churn
Label the players and focus on their growth according to their daily data. If the data is abnormal, you can guide and intervene with the churning players as soon as possible.
Provide data support for refined operations
User segmentation and tags are generated based on player behavior, and API interfaces are provided to support thousands of personalized operations.
Data-driven game improvement
Game balance evaluation
Evaluate character strength property and then get a basis for the balance in the game.
Analyze player behavior data in-depth
Obtain the action path of players, understand the real behavior of players
Data driven gameplay iteration
To reduce the barrier of data analysis, producers and developers can constantly test and verify the stickiness of the game.
A new version of data analysis engine Covering the needs of all data analysis scenarios of the game
Campaign Optimize
Leverage full life cycle player data and select quality media sources
Real-time monitoring of marketing campaigns
Observe the campaigns in real-time, update the effect and adjust the marketing strategy to make the decision faster.
In-depth assessment of media source quality
Based on key metrics such as player retention, payment, and the track of core play behaviors, the real quality of channels can be evaluated comprehensively.
Integrate game marketing and user behavior data
Connect marketing and monetization platforms and in-game behavior data to understand the player's full life-cycle touch points.
Retention Improve
Multi-dimensional data analysis improves players' experience
Optimize core gameplays
Get player's participation in PVE and PVP, obtain the core player group's play preferences, adjust the game's structure, and increase player stickiness.
Reasonably adjust the difficulty of levels
Analyze player level-up data, adjust level strategy, provide a smoother game experience and reduce player frustration.
Player group comparison after version iteration
Compare the retained and paid data of new and old players after the version updates to make targeted adjustments.
Revenue Increase
Loyal player conversion
First payment action analysis
Transforma players' payment behavior from 0 to 1, to expand the number of paying users.
Analysis on High/Low Paying Players
Use the tags in different analysis models to cross-analyze user needs and identify potential high-paying players.
Optimize the path and improve continuous payment
Adjust the event logic before user payment and optimize the payment experience to the best.
Detailed LiveOps
Refined LiveOps to improve player experience
Comprehensively evaluate the effect of the event
Evaluate the effect of the LiveOps events, providing direction for the design and operation of the later events.
Alerts for potential player churn
Label the players and focus on their growth according to their daily data. If the data is abnormal, you can guide and intervene with the churning players as soon as possible.
Provide data support for refined operations
User segmentation and tags are generated based on player behavior, and API interfaces are provided to support thousands of personalized operations.
Product iteration
Data-driven game improvement
Game balance evaluation
Evaluate character strength property and then get a basis for the balance in the game.
Analyze player behavior data in-depth
Obtain the action path of players, understand the real behavior of players
Data driven gameplay iteration
To reduce the barrier of data analysis, producers and developers can constantly test and verify the stickiness of the game.
No need to understand SQL, everyone is a data analyst
Identify core metrics
Select analysis model
Add analysis conditions
Create dashboards
No need to understand SQL, everyone is a data analyst
Core metricsAnalysis ModelsAnalysis ConditionDashboard
ThinkingEngine powerful data capabilities make it easy for us to analyze and gain insight into the behavior of hundreds of millions of users around the world every time, and provide a solid data foundation for our detailed optimization in the game.
HABBY
Accurate postback
Ensure efficient and accurate postback of data from different regions with low delay.
Check use cases
The integration with the attribution platform makes it easier for us to test the quality of media sources; also, we can adjust the product in time based on players' in-game event data.
Century Game
Data analysis efficiency
While optimizing marketing campaigns, the team can implement refined LiveOps plans for players from different media sources
Check use cases
"ThinkingEngine is very good. The product dashboard and report creation are very convenient. For users, it is very easy to get started, and the learning cost can be said to be almost zero."
LR Game
Data boosts retention
After identifying that user churning was caused by some copy issues and correcting it, retention performance improved by 25%.
Check use cases
"ThinkingData helps us to achieve real-time and accurate player analysis, help Papergames to provide players with better, more accurate content, improve the quality of the game and user experience."
Papergames
Target user groups
Identify abnormal players' behaviors and group these players to avoid data disturbance that abnormal players may bring.
Check use cases
ThinkingData's data platform has advantages in timeliness and convenience. The data feedback speed is very fast, the data structure and dimensions are very fine divided, and it can withstand a relatively large number of users, and the data Dashboard is very convenient.
Qingci Games
User Groups
During the live test of the product, the different segments of players can be formed to better understand users' needs
Check use cases
ThinkingEngine powerful data capabilities make it easy for us to analyze and gain insight into the behavior of hundreds of millions of users around the world every time, and provide a solid data foundation for our detailed optimization in the game.
HABBY
Accurate postback
Ensure efficient and accurate postback of data from different regions with low delay.
Check use cases
The integration with the attribution platform makes it easier for us to test the quality of media sources; also, we can adjust the product in time based on players' in-game event data.
Century Game
Data analysis efficiency
While optimizing marketing campaigns, the team can implement refined LiveOps plans for players from different media sources
Check use cases
The integration with the attribution platform makes it easier for us to test the quality of media sources; also, we can adjust the product in time based on players' in-game event data.
Check use cases
"ThinkingEngine is very good. The product dashboard and report creation are very convenient. For users, it is very easy to get started, and the learning cost can be said to be almost zero."
Check use cases
"ThinkingData helps us to achieve real-time and accurate player analysis, help Papergames to provide players with better, more accurate content, improve the quality of the game and user experience."
Check use cases
ThinkingData's data platform has advantages in timeliness and convenience. The data feedback speed is very fast, the data structure and dimensions are very fine divided, and it can withstand a relatively large number of users, and the data Dashboard is very convenient.
Check use cases
ThinkingEngine powerful data capabilities make it easy for us to analyze and gain insight into the behavior of hundreds of millions of users around the world every time, and provide a solid data foundation for our detailed optimization in the game.
Check use cases
Games that we help with