Get insights into evaluating the effectiveness of the Game Recommendations
This section outlines how Amplifier AI measures performance by comparing KPI’s between target and control groups.
Target and Control Groups
These groups represent subsets of players. The control group consists of players who do not receive game recommendations, while the target group is exposed to the recommended games. The standard allocation is typically 90% in the target group and 10% in the control group.
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.
KPI Comparison
To dive a little deeper, the following performance KPI’s are compared between the Target vs Control groups.
High-Level Player Data
- Total wagering
- Total NGR
- Total number of spins/bets
- Distinct number of players
Conversion Rate
Measuring the percentage of players who launched and play/bet on a recommended game/event.
Retention Rate
Measuring the percentage of players who return to play games/events
In-Game Engagement
- Average (and/or median) wagering per player
- Average (and/or median) NGR per player
- Average (and/or median) number of spins/bets per player
- Average (and/or median) number of games played per player