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SCCG Management and Golden Whale Extend Partnership to Drive AI-Led iGaming Optimization

SCCG Management, a premier global gaming advisory firm, has officially announced the extension of its strategic partnership with Golden Whale Productions. This collaboration is set to redefine how iGaming operators handle data, moving away from traditional rule-based decisioning toward a future powered by AI and machine learning (ML).

The extension follows a successful initial phase focused on optimizing player engagement, retention, and monetization through predictive intelligence.

Moving Beyond Traditional CRM

Golden Whale’s technology is designed to solve one of the industry’s biggest challenges: the reliance on reactive, manual decision-making. By leveraging the LOOPS iterative machine learning system, operators can now forecast player behavior with unprecedented accuracy.

Key features of the Golden Whale integration include:

  • Predictive Modeling: Advanced tools for churn risk, lifetime value (LTV), and player behavior forecasting.

  • Seamless Integration: The platform connects directly to existing PAM, CRM, and marketing tools without requiring a complete system overhaul.

  • Full Model Control (FMC): Moving iGaming systems closer to autonomous operation by automating engagement and incentive levels.

“Golden Whale Productions brings a rare combination of deep gaming expertise and advanced data science that operators can deploy quickly and effectively,” said Stephen A. Crystal, Founder and CEO of SCCG Management.

Strategic Global Expansion

With a strong foundation already established in Europe, Golden Whale is looking to SCCG to support its commercial expansion across the Americas and other high-growth global markets. SCCG’s 30+ years of expertise and international office network make them the ideal partner for this scale-up.

Eberhard Dürrschmid, CEO of Golden Whale, commented:

“Extending our partnership with SCCG is a natural next step in Golden Whale’s global growth. Together, we’re focused on helping operators apply AI-driven optimization and automation in practical ways, improving incentive efficiency and decision-making without overhauling existing operations.”

The Future of Incentive Efficiency

At the core of the offering are the Foundation optimization modules. These allow operators to determine:

  1. Who to engage.

  2. When the optimal time to reach out is.

  3. What incentive will drive the most value.

  4. How much to invest, while measuring impact against control groups in real-time.

By focusing on “forward-looking intelligence,” the partnership ensures that operators are no longer just looking at past data, but are actively shaping future player journeys.

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