Target and Control Groups
The performance of game recommendations is analysed by comparing two groups:
- Target Group: Receiving Amplifier AI’s recommendations.
- Control Group: Receiving alternative recommendations, Amplifier AI can accommodate Popular, Random and even Empty recommendation, depending on an operator’s decision.
Amplifier AI’s Approach
Rather than relying on a historical comparison of time periods which can be skewed by growth, Amplifier AI employs comparative analysis between target and control groups. This analysis is based on an agreed selection of player KPI’s.
Where data is provided, there will be a stratification between different player samples, such as new and retained players.
Performance metrics (e.g., stakes, NGR, spins) are evaluated to understand the impact of recommendations on player engagement and revenue.
Reporting Dashboards
- Top Recommendations: Insights on the most recommended games and their revenue generation
- Visualise the most frequently recommended games.
- See total stakes and revenue generated by top recommended games.
- Group Comparison: Engagement and performance data across target vs. control groups
- Player activity comparison between target and control groups.
- KPI analysis: e.g. stakes per player, NGR per player, spins per player, sessions per player and games played per player.
- Time Comparison: Evaluate game performance across two different time periods
- Displays percentage changes in key metrics.