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.

Understanding the two date filters

Transaction date is the accounting completion date - when the booking was paid. Use it to see what you sold in a period.
Visit date is when the ticket is valid (the visit happens). Use it for attendance and operations - who is expected on a given day.

Filter guide

Filter	What it does	Typical values
Transaction date	Sets the sales window (when bookings were paid). Use Compare to to overlay the previous period on the KPI cards.	Last 30 days, this month
Visit date	Sets the attendance window (when visits happen). Drives the visitor-operations tiles.	Today, this week
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.
Sales tiles use the Transaction date; attendance tiles use the Visit date. Comparing the two over the same calendar window will not match exactly, because a booking can be paid on one day and visited on another.
Monetary values are shown in your local currency.

Daily overview