Reporting
This guide provides an overview of the AI-powered ad optimization process following Airflux integration and how to access the initial report.
1. Model training
Once the integration with Airflux is complete, your game data will be fed into the Airflux AI for model training, which will take approximately 2 weeks.
The following data sets are key to model training:
Player behavior: Play patterns, such as game playtime, play frequency, purchase history, and ad viewing history.
Game progress: Player’s current level, in-game status, etc.
Ad attributes: Ad types, frequency, rewards players receive after watching rewarded ads, etc.
Using anonymized data in adherence to privacy regulations, Airflux effectively trains its models to determine the best timing for ad displays, enhancing LTV and retention without affecting the gameplay experience.
To learn more about how inference works in Airflux, click here.
2. Reporting and Dashboard Access
An Integration Success Report is issued via email as soon as data integration is confirmed, typically within two weeks of the initial setup. This report serves as a confirmation that the data is flowing correctly into the Airflux system.
Following the commencement of model training and optimization, Weekly Performance Reports are delivered to provide ongoing insights. These reports highlight key metric changes, such as shifts in LTV and retention, alongside the specific Airflux settings customized for the game.
For a more comprehensive analysis, the dashboard offers full access to all optimization results and real-time data, allowing for a detailed review of the AI’s performance and its impact on game growth.
Frequently Asked Questions
Have questions?
If you have any questions regarding model training and reporting, contact us at [email protected].
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