What Golden Whale Is About
Smarter Decisions. Stronger Growth.
AI-Driven Player Engagement: Delivering smarter retention, engagement, and measurable growth. Golden Whale enables continuous, real-time decision-making across the player lifecycle, improving performance while reducing operational burden at industry scale.
Seamlessly connected to your existing tech stack without integration, our AI decision layer predicts behaviour, optimises incentives, and executes with precision at scale.
Delivering measurable uplifts, including 150–450% improvements across key engagement metrics.
Core Services & Products
- Full Model Control (FMC) for iGaming
- Early Value Prediction
- Early VIP Detection
- Early Bonus Usage Prediction
- ROAS Prediction
- UA Budget Recommendation
- Churn Prediction
- Active Value Prediction
- LTV Prediction
- Game Recommendation
- Bet Recommendation
- Cross Product Recommendation
- Incentive Recommendation
- Incentive ROI Prediction
- Live Session Churn Prediction
- Fully Automated Event Trigger
- Continuous Campaigning using prediction models
- Bonus Pilot deployment
- Built-in Bonus Abuser Detection
- LOOPS self-learning optimisation system
Unique Selling Points (USPs)
- Proven Results & trusted by leading operators: 150–450% improvements across key engagement metrics (e.g. wager, deposits, activity).
- Replaces 10–20 data scientists/engineers.
- Zero Integration: Golden Whale connects seamlessly to existing tech stacks, without requiring system replacement.
- Full Model Control (FMC): Bespoke solutions for every operation’s workflows & optimization goals.
- Large library of interventions and self-learning optimization methods (LOOPS system).
- Built by a team with 25+ years of experience building and scaling gaming technology, Golden Whale combines deep industry expertise with advanced AI to solve real operational challenges.
Challenges It Solves
- Manual CRM rule-based decisioning → Optimises customer journeys and personalises campaigns, gamification, loyalty and bonus spends with advanced Machine Learning
- Delayed reaction to churn → Churn Prediction and Live Session Churn Prediction enable automated engagement based on highly accurate forecasts
- Inefficient incentive allocation → Incentive Recommendation selects WHO to engage, WHEN, with WHAT and HOW MUCH
- Underperforming monetisation campaigns → Delivering measurable uplifts including up to +120% Day 3 monetisation increase and sustained +30–34% uplift
- Limited visibility on player value → Early Value Prediction and LTV Prediction support controlled and automated decisions
- High operational dependency on data teams → Replaces 10–20 data scientists/engineers
