Two & a Half Gamers Session #22: How to Predict Game Performance

This discussion explores the operational strategies behind Tilting Point, specifically focusing on the company’s methodology for predicting game performance and its approach to business development and user acquisition. The session serves as an analytical deep dive into how a publisher evaluates potential portfolio additions and structures its internal teams to maximize growth in a competitive mobile gaming landscape.

The core thesis centers on the importance of data-driven decision-making in game publishing. By prioritizing predictive modeling, the company aims to mitigate risk when acquiring or partnering with new titles. The discussion highlights that successful publishing is inextricably linked to sophisticated user acquisition processes, where creative strategy and team structure—organized by game, platform, or channel—are essential to maintaining a competitive edge.

Beyond traditional mobile gaming, the analysis extends to the evolving industry shift toward Web3. The transition from Web2 to Web3 is identified as a key strategic pillar, with a focus on how publishers can bridge existing games into decentralized ecosystems while helping native Web3 developers reach broader, mainstream audiences. The conversation underscores that as the publishing environment evolves, the ability to adapt user acquisition strategies to these new technological frameworks is becoming as critical as traditional performance metrics. The content reflects a broader industry trend where technical proficiency in data analysis and platform-agnostic growth strategies define the success of modern game publishers.