Q: Are recommendations based only on the previous day's transactions, or on a player’s full transaction history?
A: Recommendations are generated using the player’s entire transaction history, not just from the previous day. While recent transactions have a higher influence, the system takes into account broader patterns from all past activity to ensure recommendations are both relevant and personalised. Also for inactive players, the recommendation engine will reference their last meaningful activity, even if it was several days or weeks ago.
Q: What happens to Game Recommendations if a player has minimal or sporadic activity?
A: If their activity is minimal, the system may still display recommendations based on their last meaningful activity for up to a few days. If a player has no transaction history, they receive the new player recommendations. These are non-personalised recommendations (i.e. all new players get the same recommendations) that are designed to active brand new players who have no prior activity.
Q: If a player becomes inactive, will they see the same recommendations upon return?
A: If a player is inactive for the following day or two, they will generally see the same recommendations when they log in again within a short period, such as two to three days. However, if the player remains inactive for a longer period, such as a week, the recommendations may reset or update based on the latest available data and recent engagement patterns.
Q: How are Game Recommendations handled for Control group Players?
A: When game recommendations are displayed on the Casino’s front-end for each player, operators are able to decide how to display recommendations for players marked as part of the control group ("control_group": True).
Amplifier AI can customize the API response to provide an empty, random, or other specified list of games based on the operator’s preference.
Currently, Amplifier AI supports the following options:
- EMPTY: Replaces recommendations with an empty list for control group players.
- RANDOM: Replaces with randomly selected games from other players' recommendations.
- POPULAR: Replaces recommendations with games from other players' recommendations, weighted by popularity.
- NONE: No changes—players in the control group receive the same recommendations as if they were in the target group.
Q: Are all players assigned to either the target or control group once they’ve had a transaction?
A: Yes, every player who completes a transaction is assigned to either the target or control group based on the date of their first transaction.
This ensures that the assignment is consistent and allows for accurate performance analysis between the groups. Note, after 60 days of being in a group, players are then re-assigned to either the target or control group without any prior bias.
Q: If a player has transactions on a given day but isn't in either target or control group, does that mean they're a new player without prior transactions?
A: Yes, if a player has transactions but isn't assigned to either the target or control group, they are a new player who hasn't had any previous transactions.
All existing players with prior activity are already assigned to either the target or control group. This ensures that new players can be identified and potentially assigned to a group based on their first transaction, maintaining the integrity of the recommendation system's analysis.
Q: Does the target/control logic run before recommendations each day?
A: Yes, the target/control logic does run daily, please note that:
- The target/control assignment process is separate from the recommendation generation.
- While a player could theoretically be sampled for assignment at any time, they are only reassigned to a different group after a 60-day period.
- This assignment process does not affect the generation of game recommendations.
The daily run ensures that new players are assigned to either the target or control group, while maintaining the stability of existing assignments. This approach allows for consistent analysis of the recommendation system's performance over time.
Q: If a player joins and has transactions on September 1st, when will they be assigned to a target or control group?
A: The timing of a new player's assignment to either the target or control group depends on several factors:
- When the transaction data is delivered to our system.
- When our system processes the incoming data.
For example:
- If a player joins and transacts on September 1st, they could be assigned to a group as early as September 2nd if the data is promptly delivered and processed.
- However, if the transaction occurs late on September 1st or there's a delay in data delivery or processing, the assignment might not occur until September 3rd.
The exact timing can vary, but typically, new players are assigned to a group within 1-2 days of their first transaction. This ensures that the system can begin generating appropriate recommendations or control experiences for the player as soon as possible. Note: The system runs daily to process new player data and make group assignments, but the specific time of day for this process may vary.
Q: How does Amplifier AI ensure a fair distribution between target and control groups?
A: For known players who are reassigned after 60 days, we use stratification to ensure customers of varying value are evenly distributed across both groups. For new players, without prior data, the initial group assignment is done randomly.
Q: What is the ratio of players in the target and control groups?
A: The target to control group ratio is easily configurable. While we recommend a 90:10 split, the operator has full flexibility to adjust the ratio as needed.