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Golden Whale, the pioneering provider of data-driven services for the games industry, has entered into a partnership with 1939 Games which will see the Nordic indie game development studio leverage machine learning powered player insights and optimizations in its flagship title, KARDS.
KARDS is a free-to-play digital strategy title for mobile platforms and PC that combines traditional collectible card game (CCG) mechanics with innovative features. 1939 Games will utilize Golden Whale’s advanced data analytics and machine learning tools to optimize LiveOps and player engagement and retention in KARDS. The insights gained will enable the studio to dynamically balance the game’s content, events and offers, engaging each player based on their individual preferences at the right point in time, optimized continuously.
This strategic partnership marks a significant step in Golden Whale’s growing presence in the games industry, where the company’s data-driven services and technology are increasingly being leveraged to support mobile and PC games. Based in Reykjavik and Helsinki, 1939 Games was founded by brothers Ivar Kristjansson and Gudmundur Kristjansson, who together bring over 35 years of experience in the gaming industry, notably at CCP Games (EVE Online). Their shared passion for World War II and collectible card games led to the creation of KARDS, which has since attracted more than three million players.
Eberhard Dürrschmid, CEO of Golden Whale, commented:
“KARDs is a highly successful and longstanding title which is now looking to leverage the most advanced, data-driven technology available to power its next phase of growth. Our machine learning tech has been battle-hardened in the last two years, and we’re excited to expand into even more gaming genres, especially with very experienced partners like 1939 Games.”
Ivar Kristjansson, CEO of 1939 Games, commented:
“The Golden Whale team has deep knowledge of the challenges games face to attract, understand and monetize players in the current market. It was very straightforward to give them the data they need to begin making recommendations for how we can further optimize KARDS, and we are already seeing the benefit of this.”
