Growing player revenue and reducing churn requires machine learning-fueled digital intelligence.
Growing at a rate of 8.5% per year, the global games market reached $99.6 billion in 2016, according to Newzoo’s Global Games Market Report.
Although the gaming industry is large and growing exponentially, the road ahead is filled with challenges.
Traditionally, gaming companies have relied upon big titles to re-attract hard core players. However, the engagement is fleeting, often decaying within a few months of launch.
As studios compete not just for players and playing minutes but also for wallet share, building innovative games no longer is enough to win.
Instead, competitive differentiation in an increasingly crowded landscape requires gaming companies to deliver hyper-targeted, relevant experiences that connect with individuals playing the game, embrace and engage the gamer’s network of fellow players, and spur the gamer to action pushing them to achieve more levels, gamble more chips, or try a brand new category of game.
With gamer engagement, excitement, and revenue dependent upon it, failure to deliver these personalized experiences may literally mean “game over” for many companies.
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