Data Engine
Data analysis and visualization platform
New option for data analytics for game and app developers.
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Visualize and analyze the end-to-end data of user conversion, and make data-driven decisions
Multi-platform data collection to meet the data needs of various business scenarios.
Data presentation
Data acquisition
We provide a comprehensive data acquisition SDK and integration solution to connect users' advertising data, attribution data, monetization data, behavior data and other full-link data to OnelD.
Data visualization
We provide a rich visual data analysis view that enables intuitive understanding of the data trends. Also, provides a dashboard sharing function, facilitating efficient collaboration among team members.
Targeted advertising
Real-time access to advertising data
Real-time acquisition of advertising data, timely understanding of advertising effect, rapid tuning of advertising strategy.
Get through the process of ad placements attribution data and user behavior data
Connect the data of the third-party ad placements platform/attribution platform with the user behavior data in the App to form a complete user journey track.
Accurately assess channel quality
Accurately evaluate channel quality based on data such as user activity, retention, payment, and gameplay participation of different channels.
Product iteration
Game numerical evaluation
Optimize game content based on the player's gameplay experience, such as the numerical design of cards, levels, and replica bosses.
Conversion process optimization
Ongoing optimization of core in-game conversion processes, including registration, novice orientation, and payment.
Gameplay update iterations
In the process of periodic iteration of gameplay, the data performance before and after changes of new and existing players is observed to test and optimize.
Increased Retention
Core gameplay retention
Analyze the retention of players who have played the core gameplay, and identify the characteristics of the target group while optimizing the design.
Optimize the player experience
Use data analysis to find a balance between players' willingness to pay and the experience of the game, so as to enhance the experience without reducing the incentive to pay.
Player churn analysis
Analyze the behavior and characteristics of players before losing, find out the reasons, help optimize the game, and also carry out targeted player recall.
Payment Promotion
Icebreaking payment
Understand the conversion time from registration to first payment and the payment motivation to drive more players to complete the icebreaking payment.
Countinuous payments
Sort out the path and logic related to payment such as payment entrance and payment scene in the game, continuously optimize payment design, and enhance players' willingness to pay.
Payment tiers
Different players have varying preferences and capabilities with regard to making payments. By gaining a deep understanding of the payment characteristics of players and segmenting them, it is possible to achieve personalized marketing.
How it works
Create metrics
Identify scenarios and create core metrics
Collect data
Select model
Drill-down analysis
Generate dashboard