Get a quick view of your point of sale: sales split into tickets and retail, items sold, average baskets, check-ins, remaining visitors, no-shows and walk-ins vs reservations.

Who this is for

Primary: On-site operations and venue managers tracking till sales and visitors.
Secondary: Finance reading point-of-sale sales with or without VAT, before or after discounts.

When to use it

Check how your tills are doing over a period, how sales split between tickets and retail, and how many visitors came in or did not show up.

Why use this dashboard

One page for the point of sale: the sales figures follow the basis you choose (transaction or recognition date, net or gross, with or without VAT), and the visitor figures always use the visit date.

Access and default filters

How to access: app.smeetz.com > Analytics > Dashboards > POS Statistics

Default settings: Synchronization date, After discounts (net), Before VAT. These are the settings of the previous POS Statistics dashboard, so the figures are the same.
Visitor figures (check-ins, remaining visitors, no-shows, walk-ins, items per ticket basket) always use the visit date.
How current the data is: the dashboard shows a Last data refresh time in its header.

Filter guide

Date range: the period to show. Sales use the date chosen in Date basis; visitor figures use the visit date.
Date basis: Synchronization date (when the sale was made, default) or Sales recognition date (the accounting date).
Sales Basis: After discounts (net, default) or Before discounts (gross).
VAT Basis: Before VAT (default) or With VAT.
Compare to: shows each figure next to the previous period.
Category and Product: show only the chosen item categories or products.

Visuals explained

Sales

Sales: Point-of-sale sales, all items. Basis (date, before/after discounts, VAT) follows the controls above.
Sales (tickets): Point-of-sale sales of tickets.
Sales (retail): Point-of-sale sales of retail items.
Average value per basket: Average sales value per point-of-sale order, after discounts.
Number of items sold (tickets): Tickets sold at the point of sale, net of cancellations.
Number of items sold (retail): Retail items sold at the point of sale, net of cancellations.
Average number of items per basket (tickets): Tickets per order that contains tickets, on the visit date, all channels (as in the previous dashboard).
Average number of items per basket (retail): Retail items per point-of-sale order that contains retail items.
Average ticket revenue per order: Average ticket revenue (an amount) per point-of-sale order that contains tickets.
Average retail revenue per order: Average retail revenue (an amount) per point-of-sale order that contains retail items.

Visitors (visit date)

Checked-in visitors: Visitors whose ticket was scanned in on the visit date. Point-of-sale sales and tickets only.
Remaining visitors to check-in: Visitors with a valid booking who have not checked in yet, on the visit date. Point-of-sale sales and tickets only.
No-show rate: Share of booked visitors who did not show up for their visit, on the visit date. Point-of-sale sales and tickets only.
Visitor walk-in vs reservation rate: Point-of-sale tickets on the visit date: walk-in = sold within 4 hours of the visit start, otherwise reservation.
Same-day vs pre-booked visitors: Checked-in point-of-sale visitors: ticket bought on the visit day vs earlier.

Sales mix

Sales over time: Point-of-sale sales per day.
Sales by channel (all channels): Sales split across all sales channels (context, not point-of-sale only).
Sales by category (top 15): Point-of-sale sales by item category.
Sales by product: Products ranked by point-of-sale sales, with tickets and retail items sold.

Example scenarios

How did the tills do this month? Set the Date range to this month and read Sales, Sales (tickets) and Sales (retail) with the period comparison.
Do I need the figures with VAT? Set VAT Basis to With VAT.
Do the figures match accounting? Set Date basis to Sales recognition date.
How many visitors did not come? Read No-show rate and Remaining visitors to check-in.
What sells best? Open Sales by category and Sales by product.

Data freshness

The Last data refresh tile shows the date and time the dashboard last received fresh data. Data is kept close to real time.

Known limitations

Checked-in visitors counts people, not scans: a ticket scanned at several entrances counts once. The previous dashboard counted every scan, which could make remaining visitors and the no-show rate negative.
Refunds keep the channel of the original order: a web or back-office order refunded at the till is not deducted from point-of-sale sales.
Average number of items per basket (tickets) counts orders from all channels, as on the previous dashboard.

KPI definitions

These are the KPIs on this dashboard, with what each one means and how it is calculated. The What it means text is the text you see when you hover the (i) icon on the tile.

KPI	What it means	How it is calculated
Sales	Point-of-sale sales, all items. Basis (date, before/after discounts, VAT) follows the controls above.	Sum of point-of-sale sales of all items, after or before discounts (Sales Basis), with or without VAT (VAT Basis), dated by the Date basis.
Sales (tickets)	Point-of-sale sales of tickets.	Same as Sales, ticket items only.
Sales (retail)	Point-of-sale sales of retail items.	Same as Sales, retail items only.
Average value per basket	Average sales value per point-of-sale order, after discounts.	Point-of-sale sales after discounts divided by the number of point-of-sale orders.
Number of items sold (tickets)	Tickets sold at the point of sale, net of cancellations.	Tickets sold at the point of sale minus cancellations.
Number of items sold (retail)	Retail items sold at the point of sale, net of cancellations.	Retail items sold at the point of sale minus cancellations.
Average number of items per basket (tickets)	Tickets per order that contains tickets, on the visit date, all channels (as in the previous dashboard).	Tickets sold divided by the number of orders containing tickets, all channels, on the visit date.
Average number of items per basket (retail)	Retail items per point-of-sale order that contains retail items.	Retail items sold divided by the number of point-of-sale orders containing retail items.
Average ticket revenue per order	Average ticket revenue (an amount) per point-of-sale order that contains tickets.	Ticket sales divided by the number of point-of-sale orders containing tickets.
Average retail revenue per order	Average retail revenue (an amount) per point-of-sale order that contains retail items.	Retail sales divided by the number of point-of-sale orders containing retail items.
Checked-in visitors	Visitors whose ticket was scanned in on the visit date. Point-of-sale sales and tickets only.	Point-of-sale tickets with at least one entry scan on the visit date; each ticket counts once.
Remaining visitors to check-in	Visitors with a valid booking who have not checked in yet, on the visit date. Point-of-sale sales and tickets only.	Point-of-sale tickets for the visit date minus checked-in visitors.
No-show rate	Share of booked visitors who did not show up for their visit, on the visit date. Point-of-sale sales and tickets only.	1 minus checked-in visitors divided by point-of-sale tickets for the visit date.
Visitor walk-in vs reservation rate	Point-of-sale tickets on the visit date: walk-in = sold within 4 hours of the visit start, otherwise reservation.	Point-of-sale tickets for the visit date: walk-in when sold within 4 hours of the visit start, otherwise reservation.
Same-day vs pre-booked visitors	Checked-in point-of-sale visitors: ticket bought on the visit day vs earlier.	Checked-in point-of-sale visitors, split by whether the ticket was bought on the visit day or earlier.

POS Statistics