Before you read:

The Booking statements were not designed to be segmented by specific calendar days, unlike the Accounting summary dashboard, which can be generated for any chosen period.

As a result, the Booking statements serve purely as a payout statement and an invoice.
The Accounting summary serve as an operational dashboard, providing detailed information on sales, fees, VAT, and more.
Because of their different nature, the booking Statement and the Accounting summary may have some discrepancies between what has been sold and what has been effectively received in a given period.

The Accounting summary dashboard provides a comprehensive operational view of your venue’s sales performance. You can track everything sold with various filters at your disposal for fast and accurate business reporting.

Analytics > Accounting > Accounting summary.

Please refer to this article to understand better the use of filters and to customise your dashboard.

1. Filters

Always click on apply filters when you have made a modification. Even if you have modified a filter such as dates, ou need to apply changes to see other filters adjusted. Below a list a definition of each filters.

1.1. Date type filters

Validity Date

The validity date corresponds to the start date of the ticket.

Retail-only Orders:
If an order contains only retails, the transaction time is used as the validity date.
Mixed Orders (Tickets + Retails):
If an order includes both tickets and retails, use the validity date of the earliest ticket.

Sales Recognition Date

Tailored for accounting purposes and matches the validity date, with the following exception: if a ticket is sold with a start date in the past,

the sales recognition date becomes the transaction date.
to ensure accounting records are not retroactively modified.

Transaction Date

The accounting completion date, i.e., the date when the transaction is finalized.

Payments and refunds have only a transaction date.

1.2. More filters

Date range: select a specific time range to view data within that period.
- select proposed periods or choose a custom one.
- click on the "x" to see all data and remove the dates.

Sales channel:
- Back office, E-commerce, POS, OTAs, Kiosk, etc.
Accounting code: you can view only the products linked to a specific accounting code.
Product name.
Ticket / Item name.
Price / Option name.
Booking statement: you can select a specific booking statement to view sales in that period.
Booking reference: you can search for a specific booking.

2. Turnover report

In this section you will find the list of products booked for the selected period.

Remember if you have selected the booking date (transaction date) or the validity date (sales recognition date).

The data is organised by accounting code / product name / Ticket-item name / Price / VAT rate.

The columns are:

Quantity sold: The valid quantity of tickets sold.
Total excluding tax (before discount).
Discount amount: Any reductions or deductions applied to the original ticket price, resulting in a discounted price for the transaction.
Total excluding tax (after discount).
VAT: The amount of VAT calculated for the transaction.
Total price: The total price, including VAT.

3. Payment method report

Here you will find the list of products paid for the selected period.

The data is organised by payment gateway / payment method / product name / seller

The payment gateway indicates the method used to receive payments:
- Offline: bank transfers, external cards POS, cash, etc.
- Smeetz Pay: all transactions that go through Adyen (online and onsite card payments).
Payment methods: ****The detailed payment method used.

The columns are:

# of transactions: The total count of payments recorded during the specified period.
Payment value: The total amount received as payments.
Refund value: The total amount refunded for transactions.
Payment and refund value: Total of payments received minus refunds

4. Debit and credit movements

Here you will find the list of booking IDs with a balance for the selected period.

Negative amount: for example when you have cancelled a ticket, but forgotten to refund it (you owe the money to the customer).
Positive amount: for example when a customer has not fully paid the order (the customer owes you money). You can find more information about customer balance in this article.