Enhance player acquisition and retention strategies by benchmarking customer profiles and loyalty performance across platforms. Gain actionable insights into competitor behaviour, from deposit patterns and retention rates

Understand how players engage with you and your competitors to guide product decisions
Our curated dataset is specifically structured for training advanced AI models, enabling use cases like Isolation Forests and Transformers to detect anomalies and analyse transaction sequences in real time, delivering sharper security and deeper behavioral insights.
We turn raw casino transaction logs into structured, training-ready datasets your data science team can use out of the box. Each player is enriched with behavioural features – stake patterns, game preferences, session frequency, time-of-day habits, device mix and more – engineered specifically for personalisation and recommendation models.
No heavy data wrangling, just clean feature tables ready for your next training run.

On top of features, we provide label sets that make supervised learning straightforward: churn and reactivation outcomes, value bands, lifecycle stages and configurable risk flags derived from historic behaviour. These labels align with real business events (e.g. “churned”, “re-activated”, “high-risk”) so you can train models for player retention, win-back and safer-gambling interventions using consistent, well-defined targets.
