Every iGaming operator talks about becoming data-driven, yet inside many organisations there is a second analytical ecosystem operating beneath the official one. It rarely appears…
iGaming analytics insights
Practical guides to iGaming analytics, data and AI. Explore use cases by team or by vertical, and the reporting problems behind them.
Security has always been one of the core design principles behind Gamblitude. Today we are proud to confirm it formally. Gamblitude is now ISO/IEC 27001:2023…
Choosing the Right Metrics for iGaming Predictive Models In the previous article we explained that any machine learning model should beat a simple rule-based baseline…
Every major international tournament reshapes the operating environment of a sportsbook. Forecasts improve, budgets expand and performance expectations rise across the organisation. Registrations increase, turnover…
Why the first days decide everything Predictive models turn historical data into a basis for action. A natural follow-up question is whether player behaviour immediately…
Games are random. Your strategy shouldn’t be. Imagine starting your day knowing which of yesterday’s new users is likely to become a long-term highroller and…
Turning Traffic Into Sustainable Value Player acquisition in iGaming looks deceptively simple on the surface. Buy traffic. Convert registrations. Push for first-time deposits. Scale what…
Gamblitude, the AI-native data platform built exclusively for iGaming, has announced a strategic partnership with Quantum Gaming, a technology provider delivering modular iGaming platform solutions…
For any iGaming operator, affiliate network, or platform provider, the data warehouse is the foundation of analytics, automation and AI driven decision making. At Gamblitude,…
“Can we have only the AI part?” If you work around data and AI long enough, you start hearing this sentence a lot. It usually…