Transactions use cases

The Transactions area of Operator Backoffice allows you to quickly get information on multiple different use cases. Here are some quick how-to's to get you started!

Reviewing transaction history

Reviewing transaction history allows you to pinpoint specific activities and identify potential discrepancies or issues.

To review transaction history:

1. Search for transactions by applying the required Transaction UUID, User ID, or Round ID.

2. Use the Amount, Currency, and Status columns to narrow down the data.

3. Apply filters like Timeframe, Transaction Kind, and Supplier to search for potential errors or inconsistencies.

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Monitoring bet transactions

Monitoring bet transactions allows you to track player activity and assess performance.

To monitor bet transactions:

1. Apply the Transaction Kind filter and select Bet to focus solely on bet transactions.

2. Set a relevant Timeframe (e.g., daily, weekly) to view bets placed during that period.

3. Filter by Game to focus on bet activity within specific games.

4. Use the Operator, Brand, or Site filters to view relevant bets from specific operational segments, if needed.

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Monitoring win transactions

Monitoring win transactions allows you to assess player performance and financial impact, either across all games or by specific game.

To monitor win transactions:

1. Apply the Transaction Kind filter and select Win, Jackpot Win, or Bonus Win, depending on the type of win you want to monitor.

2. Set a relevant Timeframe to focus on recent wins.

3. Use the Currency filter to track wins in specific currencies.

4. Filter by Game to narrow down the data to specific games you wish to track for wins.

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Investigating failed or rolled back transactions

Investigating failed or rolled back transactions allows you to identify and troubleshoot technical issues and maintain financial integrity.

To investigate failed or rolled back transactions:

1. Apply the Transaction Kind filter and select Rollback to view transactions that have been rolled back.

2. Use the Status filter to select Declined or Retry attempts limit exceeded to focus on failed or declined transactions.

3. Set a relevant Timeframe (e.g., last 24 hours) to focus on recent failed or rolled back transactions.

4. If relevant, filter by Game to focus on failed or rolled back transactions that occurred within specific games.

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Tracking free bet and free bet win transactions

Tracking freebet and freebet win transactions helps assess promotional effectiveness and player engagement.

To track free bet and free bet win transactions:

1. Apply the Transaction Kind filter and select Freebet Bet and Freebet Win to view these specific transaction types.

2. Set a relevant Timeframe (e.g., during a promotion or campaign) to track the usage of free bets.

3. Use the Currency filter to focus on transactions involving specific currencies.

4. Filter by Status and select Success to focus on successfully placed or won free bets.

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Supplier performance and monitoring

Supplier performance monitoring helps assess transaction volumes, wins, or issues associated with specific game providers.

To monitor supplier performance:

1. Apply the Supplier filter and select the relevant supplier to view transactions related to that provider’s games.

2. Filter by Transaction Kind (e.g., Bet, Win, Rollback) depending on the activity you wish to monitor.

3. Set a relevant Timeframe to focus on the supplier's performance during that period.

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Tracking player activity across multiple sites or brands

Tracking player activity across multiple sites or brands provides a comprehensive view of player behaviour.

To track player activity across multiple sites or brands:

1. Apply the Site/Brand filter to select a specific site or brand, isolating transactions within that segment.

2. Filter by Transaction Kind to focus on specific activities (e.g., Bet, Win, Rollback).

3. Use the User search to track transactions for a specific player across multiple sites or brands.

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Tracking performance by game

Tracking performance by game allows operators to assess the performance of specific games, including bet and win transactions, and identify potential issues.

To track performance by game:

1. Apply the Game filter to select the specific game(s) you want to monitor.

2. Filter by Transaction Kind (e.g., Bet, Win, Rollback) to capture relevant activities for that game.

3. Set a relevant Timeframe to track the game’s performance during that period.

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Reconciling transaction data with payment processors

Reconciling transaction data with payment processors ensures that financial records are aligned and that there are no discrepancies.

To reconcile transaction data with payment processors:

1. Filter transactions by Supplier and compare the data with the records provided by your payment processor.

2. Use the Transaction Status filter to ensure that payments are processed correctly and that no transactions are pending or failed.

3. Verify the Amount Wagered and Currency against the processor’s records to identify any discrepancies.

4. If discrepancies are found, use the Actions column to access round details and logs for further investigation.

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Investigating discrepancies in transaction data

Investigating discrepancies in transaction data helps identify mismatches in amounts, wins, or rollbacks.

To investigate discrepancies in transaction data:

1. Apply the Transaction Kind filter and select Bet, Win, Rollback, or other relevant transaction types to investigate discrepancies in those activities.

2. Use the Status filter to select Declined, Rollback, or Retry attempts limit exceeded to filter for discrepancies.

3. Set a relevant Timeframe to narrow down when discrepancies are most likely to have occurred.

4. Use the Amount Range filter to focus on specific transaction amounts that may involve discrepancies.