Responsible Gaming Using AI to Promote Responsible Gaming

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With gaming’s ongoing global expansion combined with the increased social responsibility scrutiny the industry receives as a result, the importance of developing and maintaining responsible gaming initiatives that protect at-risk customers is paramount for today’s gaming operators.

By constantly scanning all gaming data collection points and analyzing them against numerous self-exclusion covariates, XUVI’s Immersive Data Analytics platform provides you with a powerful tool that automatically identifies customers whose behavior is trending toward problem gambling – based on other customers who self-limit or exclude their gaming activities – and proactively engage these customers with the appropriate marketing message. Our BEAMSTUDIO platform can also automate the engagement and communication with responsible gaming education messaging triggered by specific thresholds or events, helping you enhance your outreach initiatives.

 

Responsible Gaming Behaviors We Analyze

 

revenue

Obsessive gambling behavior based on visit frequency, win/loss ratio and time-on-device

gambling losses capacity

Disregard for mental distress caused based on gambling losses capacity to spend

Loss of control

Loss of control even in the face of wanting to stop or reduce gaming activities

addiction by continuing

Denial of addiction by continuing to subscribe to marketing offers and services

SPENDSCORE

Demographics and spatial attributes contributing to the above

How We Detect Problem Gambling Related Activity

 

 

1

During the software onboarding process, XUVI’s installation team works with your responsible gaming / compliance departments to incorporate the rules of what you consider problem gambling behavior into our platform. These rules can be specified by the specific transaction channel you want to focus on, allowing you to set different problem gambling thresholds by channel (table games, slots, online, etc.). Additionally, we can establish rules that identify when an individual customer should be considered “at risk” for developing problem gambling behaviors, allowing you to be proactive in your outreach.

2

Next, we import historical examples of each type of problem gambling activity to build the artificial intelligence models against which all future activities will be measured.

3

We then import your data into our Immersive Data Analytics platform and augment it with a wide range of additional information such as income levels, age, discretionary spend, home value, zip code details etc., to widen the analysis process.

4

This data is processed through our platform’s self-exclusion model for comparative purposes, assigning SELF-EXCLUSIONSCORE values to each customer in your database based on how closely (probability percent) their activities mirror or differ from each targeted problem gambling behavior.

5

Once the onboarding process is complete and our platform is in operation, it constantly compares all new activity and transactional data against the self-exclusion model, automatically flagging any activities that are considered indicators of problem gambling or self-exclusionary behavior and adjusting each customer’s SELF-EXCLUSION-SCORE accordingly.

6

As new problem gambling activities are detected, the data output can be analyzed by your designated representatives, who then individually assess the merits of each activity to determine if further action is required.

7

Additionally, if an individual customer’s SELF-EXCLUSION- SCORE falls into the range of probable problem gambling behavior established during the onboarding process, our platform can automatically send responsible gambling education and guidance tools to each affected customer and encourage them to play responsibly and/or contact designated help for self-exclusion.

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