Notes on the health of gaming businesses.
Practical writing on retention, fraud, AML and responsible gaming from the team behind GAMWIT.
Machine learning for anti-money laundering in iGaming
How deduplication, anomaly detection and money-journey tracking help gaming operators catch money laundering, and what makes an AML model fit for iGaming.
Read article →Risk · 5 min readOnline betting fraud: how it works and how to stop it
Gnoming, chip dumping, bonus abuse and chargeback fraud explained, plus the KYC and AI controls gaming operators use to stop them.
Read article →Marketing · 7 min readWhy VIP player retention is a strategic imperative for casino operators
A practical framework for casino player retention: the PDCA cycle, unified player data, segmentation, UX and incentives that keep VIPs without encouraging harm.
Read article →Marketing · 5 min readHow churn and lifetime value analytics protect gaming revenue
What player churn is, why small retention gains move profit, and how predicting churn and lifetime value helps operators find valuable players, spot fraud and target VIP offers.
Read article →Responsible gaming · 5 min readResponsible gaming in the age of machine learning
How operators use behavioural data, risk scores and real-time anomaly detection to spot problem gambling early and intervene with personalised messages.
Read article →Marketing · 4 min readPlayer reinvestment: stop rewarding the 'average player'
Why average-player bonus allocation wastes marketing spend, and how RFM segmentation helps gaming operators reinvest in the players who drive revenue.
Read article →See what GAMWIT would find in your data.
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