Get a daily read on how your venues are selling and operating - revenue, order value, volume by channel and venue, and visitor check-ins - all in one place.

Quick overview

This is your headline daily view. See how much you have sold, how orders break down by channel, venue and product, and how the day is running on the ground - who has checked in, who is still expected, and how walk-ins compare with advance bookings.

Who this is for

Primary audience: Venue managers and leadership
Secondary audience: On-site operations teams

When to use it

Decision it helps you make: get a daily read on sales, revenue and volume across your channels and venues, plus visitor operations, so you can spot what needs attention today.

Why use this dashboard

Check how much you have sold, how orders break down by channel, venue and product, and how the day is running on the ground - who has checked in, who is still expected, and how walk-ins compare with advance bookings. One screen to see whether today is on track.

Access and default filters

📌 How to access: app.smeetz.com > Analytics > Dashboards > Daily overview

URL: Daily overview
Default date range: the last 30 days, with the previous period available for comparison.
Data currency: the dashboard refreshes roughly every 4 hours, and the header shows the exact time of the last refresh - check that tile to see how up to date the figures are.

How the date filter works

Date sets the period for every tile. Date basis chooses which date it uses: Synchronization date (default, the day the booking was paid, the same way as the Accounting summary, so a past day does not change when a ticket is cancelled or moved later), Sales recognition date, or Validity date (the day the ticket is valid).
These are the same three dates, with the same names, as the date type filter of the Accounting summary. Sales recognition date and Validity date are the same day for almost every ticket; they only differ for a ticket sold for a date that has already passed, which is recognised on the day of the sale so that closed accounting periods never change.
Checked-in visitors and Foot traffic trend always count on the visit day, whatever the Date basis, because a check-in only happens on the day of the visit.

Filter guide

Filter	What it does	Typical values
Date	Sets the period for all tiles, on the date chosen in Date basis. Use Compare to to overlay the previous period on the KPI cards.	Today, last 30 days, this month
Date basis	Chooses the date the sales tiles count on: Synchronization date (default, the day the sale was booked), Sales recognition date, or Validity date (the day of the visit, as the former per-venue charts counted it). On Validity date, items without a visit date (gift cards, vouchers) are not counted.	Synchronization date, Validity date
VAT Basis	Shows the sales amounts With VAT (default) or Before VAT.	With VAT, Before VAT
Venue	Focuses on one venue.	Any of your venues
Product name	Focuses on a specific product.	Any of your products
Customer / product segments	Switches the "Sales by segment" breakdown between dimensions.	Product, customer country, age group

Visuals explained

Header band

Dashboard purpose: a one-line reminder of what the dashboard is for.
Last data refresh: when the figures were last updated. The data refreshes roughly every 4 hours.

Headline figures

Avg basket size per order: average number of items included in each order.
Avg value per order: average revenue generated per order.
Number of bookings: unique bookings (orders) placed in the period.
Customer return rate: share of customers who came back to book again - a key loyalty signal.
Ancillary revenue rate: share of revenue coming from add-on and ancillary products.
No-show rate: share of booked visitors who did not show up. If you do not scan visitors in, this rate will look high.

Sales performance

Revenue by channel: revenue split across sales channels, with each channel's share of the total.
Ticket sales by channel: number of tickets sold through each sales channel.

Volume and revenue breakdown

Tickets sold / Retail items sold: total tickets, and total retail (add-on) items, sold in the period.
Sales by segment: revenue broken down by the selected customer or product segment.
Sales by channel per venue: revenue by sales channel for each venue.
Top Sellers - Tickets / Retail: best-selling ticket and retail products by units and revenue.
Best seller tickets / retail products by venue: the top products for each venue.

Visitor operations

Checked-in visitors: how many visitors were checked in over the period.
Remaining visitors to check-in: visitors with valid bookings who have not yet checked in.
Walk-in vs reservation visitors: visitor count split between walk-ins and advance reservations.
Foot traffic trend: visitor check-ins over time, comparing the current period with the previous one.

Example scenarios

Check the day at a glance: read the headline figures to see today's order value, bookings and sales mix before the venue gets busy.
Find your strongest channel or venue: use Revenue by channel and Sales by channel per venue to see where sales are concentrated.
Stay ahead on attendance: watch Remaining visitors to check-in and No-show rate during the day, and keep scanning so the no-show figure stays accurate.

Data freshness

How current is the data: the dashboard refreshes roughly every 4 hours; the header shows the exact time of the last refresh.

Known limitations

Attendance figures (check-ins, no-show, foot traffic) cover daily tickets only - memberships are not included.
No-show rate depends on visitors being scanned in. If you do not scan, the no-show rate will look higher than reality.
With the default Date basis (Synchronization date), sales tiles count the day the booking was paid, while Checked-in visitors and Foot traffic trend count the day of the visit, so the two will not match exactly over the same period. To see sales on the day of the visit, set Date basis to Validity date.
Sales and item-count tiles book a cancellation on the day it was made, not on the day the ticket was sold. A date change is a cancellation plus a new ticket, so it appears as a negative and a positive line on the day of the change. Figures match the Accounting summary's Sales report to the cent.
Monetary values are shown in the currency of each sale. If your account has venues in several currencies, the "Sales by channel per venue" tile shows one column per currency and the Currency filter limits the other tiles to one currency.

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
Net sales	Net sales after discounts of the lines in the period, a cancellation on the day it was booked. Equals the Accounting summary's Sales report total (incl. VAT by default).	Sum of the sale, discount and markup lines booked in the period, each on the day it was synchronised (switch to the recognition date or the visit date with the Date basis filter). The same KPI on Capacity, demand & trends and POS statistics still dates each item on its first sale day.
Tickets sold	Total number of tickets sold in the period.	Number of ticket items sold, minus cancellations. The Retail items sold tile uses the same count, limited to retail (add-on) items. Not the same as Tickets Sold on Sales performance & trends, which counts all items.
Number of bookings	Number of unique bookings (orders) placed in the selected period.	Each order counts once, whatever the number of items in it. Also on: Marketing performance, Customer intelligence.
Avg value per order	Average revenue generated per order.	Net sales divided by the number of orders. Not the same as AOV on Customer intelligence, which uses gross revenue.
Avg basket size per order	Average number of items included in each order.	Valid tickets divided by the number of orders. This is a count, not an amount. Also on: Customer intelligence (as AVG Tickets per Order).
Ancillary revenue rate	Share of revenue coming from add-on and ancillary products.	Gross revenue from everything that is not a ticket, divided by total gross revenue.
Revenue by channel (% of gross revenue)	Revenue split across sales channels, with each channel's share of the total.	Each channel's net sales divided by the total for all channels.
No-show rate	Share of booked visitors who did not show up for their visit.	Valid tickets that were never scanned, divided by all valid tickets. Also on: POS statistics. Not the same as No Show Rate on Attendance & scans, which is based on the attendance rate.
Checked-in visitors	Number of visitors checked in over the period.	Visitors whose ticket was scanned in on the visit date. Also on: POS statistics.
Remaining visitors to check-in	Visitors with valid bookings who have not yet checked in.	Valid tickets for the period minus the visitors already checked in. Also on: POS statistics.
Customer return rate	Share of customers who came back to book again - a key loyalty signal.	Customers with more than one order, divided by all customers. Also on: Marketing performance.

Daily overview