Funding
Funding not disclosed
Founders
Product
Problem
Mobile game studios face challenges in accurately predicting user lifetime value (LTV) and return on ad spend (ROAS), leading to inefficient user acquisition (UA) spend and suboptimal monetization strategies. Fragmented data sources and a lack of automated optimization processes hinder the ability to personalize player experiences and maximize revenue.
Solution
Myluigi.ai provides an AI-driven platform designed to unify disparate data sources, enabling mobile game studios to optimize user acquisition and monetization. The platform leverages machine learning to deliver precise LTV and ROAS forecasts, allowing for more effective budget allocation and campaign management. By automating key operational workflows, including A/B testing and in-game personalization, Myluigi.ai empowers studios to dynamically adapt game content and offers to individual player profiles. This data-centric approach facilitates smarter decision-making, enhances player engagement, and ultimately drives increased revenue.
Target Audience
The primary customers are mobile game studios seeking to enhance their user acquisition efficiency and monetization performance through data-driven insights and automation.
Features
- AI-powered LTV prediction engine for 7- and 30-day forecasts.
- Real-time ROAS calculation and projection across UA campaigns.
- Automated A/B testing framework for UA creatives, in-game offers, and pricing tiers.
- In-game personalization engine that dynamically adapts content based on player profiles.
- Data unification capabilities, integrating with analytics platforms (e.g., Game Analytics, Google Analytics) and Mobile Measurement Partners (MMPs) (e.g., AppsFlyer, Adjust).
- Automated user segmentation based on behavioral and spending analytics to identify high-value cohorts.
- Cloud-based data storage and processing on Google Cloud for scalability and reliability.
- Workflow automation for UA bid adjustments and budget allocation based on performance insights.