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Big Data Analytics for Gaming

Every click and player interaction creates incredibly valuable data that, if aggregated and analyzed, holds the answer to keeping players engaged and coming back for more. Using big data analytics to analyze player behavior using web, social media, access and game logs for example will help:

Increase Customer Acquisition & Decrease Churn

Combining demographic information about your users with the behavior of how and when they’re playing games, and which of your brands they engage with, helps you understand preferences and create targeted digital ads that increase customer acquisition, and enhance the user experience to decrease churn. Which users are your VIP’s? Use the data to profile them, and treat them differently to keep them.

Optimize In-game Experiences to Increase Monetization

Converting more users to pay to play requires being able to combine and analyze logs and player data to identify common characteristics to better understand what drives each of those gamer segments to play longer. Then it’s a matter of testing and analyzing results to iteratively improve your game based on real player data feedback.

Create Entirely New Games

With the mounds of game and server logs every single game experience creates, gaming companies have a unique advantage if they can combine, analyze and create entirely new games based on big data insights gleaned from those logs.

Deliver on Regulatory Requirements

Responsible Gaming means monitoring and staying in control of how much time and money users spend gaming. Increasingly gaming operators need to demonstrate to licensing authorities they are competently detecting and acting on data to minimize gaming-related harm.

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