Predictions based on player behavior
BLUE AI analyzes player behavior across iGaming, helping predict churn, personalize content, and identify changes in player activity early. Every prediction also shows the factors behind the result.
AI modules for retention, player protection, and personalization.
BLUE AI analyzes player behavior across iGaming and turns data into actionable predictions and recommendations. Each module can work independently or as part of one connected solution.
BLUE Beacon
Churn prediction
Identifies players at increased risk of inactivity, helping you re-engage them before they drop off.
- You define what churn means
- Targeted campaigns instead of blanket ones
- Prioritization of high-value players in decline
BLUE Guard
Responsible gaming
Detects changes in player behavior that may indicate increased risk and supports earlier intervention.
- Consistent and automated assessment
- An auditable trail behind every flag
- Action before a regulatory issue arises
BLUE Match
Player personalization
Recommends relevant games, matches, and content based on individual player behavior and preferences.
- Betting and casino alike
- Personalization works from day one
- A different strategy for a different player segment
RFM Segmentation
BLUE AI continuously segments players based on their current activity and behavioral patterns. These segments can then be used directly in campaigns, personalization, and other BLUE AI modules.
See the churn risk. Understand what’s behind it.
Marketing doesn't need to know a player has a 78% risk score. It needs to know what to do about it. That's why every flag comes with the three strongest reasons and a recommended action.
- 1A score you can explain to a colleague, or a regulator
- 02A concrete next step, not just an alert
- 3The same logic across the whole player base, every day
Illustrative interface preview. It contains no real client data and no model logic.
Player protection is part of every decision.
BLUE Guard helps responsible gaming teams identify risky behavior early, understand what influenced the assessment, and get the context needed for the next step.
That is why Blue guard is not an optional add-on. It runs alongside personalization and retention and holds a veto: a player flagged as at risk is excluded from monetization campaigns.
Continuous monitoring
BLUE Guard tracks changes in player behavior and flags increased risk.
Explanation behind every assessment
Each flag includes context that helps explain why the player was identified as higher risk.
The decision remains with your team.
BLUE Guard flags risky behavior and provides context. Your responsible gaming team decides what happens next.
See the real impact.
For every recommendation, we track its real impact — from player response to how results develop over time.
Control group
A portion of players remains without personalization, allowing you to compare the real impact of BLUE AI recommendations.
Real impact of recommendations
We track how much of the recommended content players actually use and how much of their activity is driven by those recommendations.
Long-term impact
Results are evaluated continuously, so you can compare changes across different periods and player segments.
Development over time
Results are stored daily, so you can trace player movements between segments retrospectively.
We start with the goal, not the model.
Goal and Data
We define what AI should improve and what data it can work with.
Solution Selection
We select the right BLUE AI module or design a custom solution for your specific use case.
Validation on Your Data
We test the solution on real data and evaluate the results together with your business team.
Deployment & Operations
We deploy the solution, monitor its performance, and prepare your team to work with the outputs.
Connected to the other modules
From score straight into a campaign
Segments and risk groups from BLUE AI become campaign audiences in CRM, with no exports and no waiting on the data team.
View BLUE CRMarrow_forward
Recommendations from the live offer
Blue match works with the offer the feed is delivering right now. Players see recommendations for matches that are actually open.
View BLUE Feedarrow_forward
A personalized lobby
Recommended games and similar titles appear directly in the lobby. A new player gets a relevant offer from day one.
View BLUE Aggregatorarrow_forwardWhat people ask first
Do we need to change platforms to deploy BLUE AI?add
No. The modules work with the data you already have, and outputs are written into tables your frontend or CRM can read. No changes to the real-time part of your system are needed.
How long does deployment take?add
For a ready-made module, typically 2-3 weeks including testing and setting up A/B experiments. A custom solution depends on the scope and the state of your data. You'll get a concrete timeline after the audit.
What if we don't have enough data?add
We'll tell you at the start, not after three months. The first phase includes an assessment of data readiness and a proposal for what to add to your data collection and integrations, so the model has something to build on.
How do you know the model works?add
A portion of players stay outside personalization as a control group, and the difference between the groups is evaluated daily. Metrics are stored, so you see the trend over time, not just a single snapshot.
Can the churn or segment definition be changed?add
Yes, and it's a routine part of the work. After you change the definition, the tool reorients to it and starts examining the factors relevant to the new context. Segmentation rules and thresholds are configurable the same way.
Does it work outside iGaming too?add
Yes. Betting and casino are the reference environment where the principles are easiest to explain. The logic behind churn prediction, segmentation and personalization transfers to any industry with enough transaction history.
Let's start with a question, not a model.
Tell us what decision you want data to support. On the first call, we'll go through the goal, the state of your data, and whether a ready-made module already fits. We'll get back to you within 24 hours.