Track staking trends of high-risk players and identify games and sessions with potential risky behavior.
Overview:
The Session History page is a part of Amplifier AI's Sustain module. Amplifier AI helps operators and studios further understand factors that contribute to a potential risky behavior by looking at their individual gaming session, stakes and the kind of games that players play.
This page contains the following table and visualisation:
The above table and visualisation can be filtered based on time period, risk label, player site, session and player IDs.
The filters below help operators and providers to further filter players and sessions based on various markers of harm identified by Amplifier AI:
- Erractic Play: Players who make sudden, large bets, frequently change stakes, disregard odds, chase losses, and ignore personal limits
- High Stake Variability: This includes players that have significant and unpredictable changes in wagering, introducing uncertainty and the potential for substantial gains or losses.
- Max Stake Increase: Players staking more than their previous maximum amount increases the potential for greater gains or losses, thereby heightening player risk.
- Unsociable Hours: Players playing during unsociable hours, typically between 1 AM and 6 AM, may experience impacts to their day-to-day lives.
- Intense Session: This includes players who become deeply absorbed in the game, ignoring their surroundings and driven by a strong desire to secure the next win or recover losses, often experience heightened emotional engagement. This behavior is typically marked by multiple sessions and extended time spent per session.
- Staking Up: Increasing the amount of money wagered on bets, representing a strategic or emotional decision to escalate risk for the potential of higher returns or to recover losses in a gambling session.
Session History Table
Amplifier AI provides a detailed overview of sessions, spins, stakes, time spent, risk label and games played by potentially risky players, helping teams analyse the factors contributing to risky behavior.
Session % by Risk label
These cards represent the % of players within a player base that fall into the various risk categories. Amplifier AI labels players based on their scoring across all 'Markers of harm' (e.g., intensity, frequency, variability, trajectory)
Risk Labels:
- High Risk
- Monitor High
- Monitor Low
- Safe
Staking History
Amplifier AI helps teams gain insights and dive deeper into their high risk and monitor high player clusters and understand how their staking trends have contributed to a risky behaviour.
How do I get support or make a feature suggestion?
If you have any questions or feature suggestions, feel free to reach out to us at support@futureanthem.com, and our team will get back to you shortly.