Online Gambling Market Intelligence

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

INSIGHTS

Key questions our data answers

Understand how players engage with you and your competitors to guide product decisions

Competitive Intelligence

A unified, multi-source transaction dataset capturing customer interactions across digital and physical touchpoints

Spot Trends and Opportunities

Our data  reveals what competitors are doing by providing operator market share insights, tracking company announcements and financials, and offering global comparisons of revenue and growth.

Reduce Risk and Uncertainty

Before launching a product, entering a new market, or shifting strategy, our data validate assumptions which allows you to  refine your approach by understanding the true size of the opportunity, which areas are growing fastest, and where the market will be in five years.

common
Fine
Spot Trends and Opportunities
Reduce Risk and Uncertainty
Apply AI

Training Data for AI Solutions

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.

Usecase

Personalised Experience & Engagement

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.

Isolation Forests
Usecase

Lifecycle, Churn & Safer-Gambling Management

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.

Transformers to detect anomalies

Learn how Arest can help you  maximise growth