Web3 gaming ecosystem Pixels has announced the launch of Stacked, an AI-powered engagement and rewards platform designed to provide game studios with the infrastructure to manage player retention and monetization.
The platform was developed based on four years of live operational experience within the Pixels ecosystem, which the company reports has generated over $25 million in revenue and reached one million daily active users. Previously an internal tool, Stacked is now accessible to external game studios.
Stacked operates through an SDK integration that allows developers to track granular player events in real-time. The system uses an AI-driven offer engine to deploy personalized incentives to players based on their behavior.
According to the company, the platform functions as an embedded “AI game economist.” Studio operators can use plain language prompts to query the system, identify reasons for player churn, pinpoint where reward budgets are leaking, and instantly deploy targeted campaigns without needing manual handoffs between data scientists and game designers.
Pixels released internal data demonstrating the platform’s utility within its own ecosystem. When the AI engine targeted veteran players who had not spent in over 30 days with personalized re-engagement offers, the company recorded:
The company noted that these campaigns were executed without manual segmentation or management overhead.
“Most reward systems treat every player the same and optimize for the wrong things,” said Luke Barwikowski, Founder of Pixels. “Stacked is built to reward actions that actually matter like coming back, progressing, spending, contributing to a healthy economy. We’ve essentially built an AI game economist that any studio can access without needing an entire data science team behind it.”
Stacked is currently live and operational within the main Pixels game, Pixel Dungeons, and the early access title Chubkins. The platform is currently available for game studio integrations via the Stacked website.
Disclosure: AI has been used to help develop this article.
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