Use Data to Turn Your Game
into a Growth Engine
By using data science technology, implement real time user-based prediction.
Depending on the predicted segments, apply deep monetization strategy with LiveOps.
Know Your User!
Optimize Game with real-time predictions.
Supercharge the revenue of Games, and boost the Engagement & Experience of the User Base.
User Segmentation for
Dynamic Monetization
A vital component of dynamic monetization is user segmentation. Machine learning models analyze past user data and behavior, including their gameplay patterns, in-game reactions, and purchase history. With this data, they can swiftly estimate a user’s future Lifetime Value (LTV) or the amount they’re likely to spend on in-app purchases based on their initial gameplay session.
In-App & In-Game Personalization
Enhance user experience and improve KPIs by leveraging AI/ML and data science. Analyze user data, predict actions, and offer tailored recommendations in real-time for a more engaging experience.
Predict the next action of each user
Recommend the right actions
Track the action & win users back
What is AI/ML or Data Science?
AI/ML (Artificial Intelligence/Machine Learning) and data science are powerful tools used in game development.
By using data from the early play sessions of the users,
We can build a more sophisticated and robust model that predicts value of user
We can then apply that model to new users to Methodically improving the play experience and boosting KPIs
Monetization Strategy
Optimize revenue generation with effective monetization strategies. Target specific user segments with relevant in-app purchases or advertisements to increase engagement and boost financial success.
Implement enticing in-app purchases to enhance gameplay experience and provide optional advantages.
Integrate targeted and non-intrusive advertising, deliver relevant ads and offer opt-in rewards for engagement.
Offer a recurring subscription-based model with exclusive perks, rewards, and content to cater to different user segments.
Predict the Future
Behaviour of Each user
Who are the most likely to complete the Purchase?
When will they complete the Purchase & how much?
Who is more like be Subscriber?
Who is just about the Churn?
Who is likely to become Inactive?