Skip to main content

Sales Performance & Trends

How to read the Sales Performance and Trends dashboard: headline sales figures, quality and customer mix, trends over time, breakdowns, and the filters that control them.

The sales performance dashboard gives you one headline view of how your venue is selling: booked, paid and outstanding amounts, net sales, tickets sold, cancellations, average basket and the trends behind them, with a comparison to the previous period.

Who this is for

  • Primary: Owners, general managers and finance leads tracking overall sales performance.

  • Secondary: Commercial and marketing managers watching the channel, customer-type and segment mix.

When to use it

See how sales are tracking against the previous period, and which channels, activities and customer segments are driving or dragging revenue, so you can act before the period closes.

Why use this dashboard

When you want to answer "how are we selling right now, and is it better or worse than last period?", this is the single place that shows it. Every headline figure carries a period-over-period change, so you can tell at a glance whether you are ahead or behind, then drill into the breakdowns to see what is moving.

Access and default filters

How to access: app.smeetz.com > Analytics > Dashboards > D1 Sales Performance & Trends

  • Default date range: the last 12 months (rolling). This window also drives the period comparison.

  • How current the data is: the dashboard shows a Last data refresh time in its header. Check that tile to see how up to date the figures are. Data flows in from your account continuously.

Filter guide

Filter

What it does

Typical values

Date range

Sets the period you are looking at and drives the period comparison

Last 30 days, this month, last 12 months

Channel

Limits to one sales channel

Online, point of sale, travel partners

Customer type

Limits to business, public or internal sales

B2B, B2C, Internal

Item category

Limits to one activity or product category

Any of your categories

Customer segment

Limits to a customer group based on how many orders they have placed

New (first order), Returning (2 to 4), Loyal (5 or more)

VAT Basis

Switches sales figures between VAT-inclusive and VAT-exclusive

VAT-inclusive (default), VAT-exclusive

Sales Basis

Switches money figures between gross and net

Gross (before discounts), Net (after discounts)

Period-over-period

Sets the comparison period for the change shown on each figure

Previous period

Visuals explained

Headline sales figures

  • Sales value: total value of tickets and products sold in the period.

  • Booked: total value of everything booked in the period, paid or not.

  • Paid: the amount your customers have actually paid in the period.

  • Outstanding: the unpaid balance still owed to you (booked minus paid).

  • Booking count: the number of orders placed.

  • Sales bookings: the number of orders that are actual sales.

  • Pending orders: orders not yet completed or confirmed.

  • Tickets sold: the number of individual tickets sold.

Quality and customer mix

  • Cancellation rate: the share of tickets cancelled, colour-coded (green is low, amber is watch, red is high).

  • Refund rate: the share of orders refunded.

  • B2B revenue share: the share of sales value from business customers rather than the public.

  • Avg booking lead time: the average number of days between booking and visit.

  • Avg ticket basket: the average ticket spend per booking.

  • Avg retail basket: the average spend on retail items and add-ons per booking.

  • B2B vs B2C (pie): sales value split between business and public customers.

  • Booking type split (pie): orders split between group and individual bookings.

Trends over time

  • Revenue by period (line): your sales value over time.

  • Paid volume trend (line): the amount paid over time.

  • Outstanding volume trend (line): the unpaid balance over time.

Breakdowns and tables

Each table shows sales value, tickets sold and cancellation rate for that breakdown.

  • Top activities by sales: your highest-selling activities or product categories.

  • Segment x activity: sales value by customer segment and activity, so you can see which audiences buy which activities.

  • Sales by seller: results for each seller or staff member.

  • Sales by customer country: sales broken down by the customer's country.

  • Sales by POS location: sales broken down by point-of-sale location (till or desk).

  • Revenue by VAT rate: sales value and tickets grouped by the VAT rate applied.

Example scenarios

  • Are we ahead of last month? Set the date range to this month and read the period-over-period change on Sales value and Paid.

  • Which channel is growing? Filter by channel and compare Sales value and its trend across channels.

  • Who is buying our top activity? Open Segment x activity to see which customer segments drive each activity.

  • Why do my totals look higher than my old dashboard? Figures are VAT-inclusive by default; switch the VAT Basis filter to VAT-exclusive to match the old view.

Data freshness

The dashboard header shows a Last data refresh time. Check that tile to see how up to date the figures are.

Known limitations

  • Sales figures are VAT-inclusive by default (the amount customers paid). If the totals look higher than your previous dashboard, switch the VAT Basis filter to VAT-exclusive to match it.

  • Customer segment is based on order count: New is a customer's first order, Returning is their 2nd to 4th order, and Loyal is their 5th order onward.

  • Customer type (B2B, B2C, Internal) is derived from the sales channel, not set per customer.

  • All tiles follow the date range filter by transaction date, so changing the window changes every figure.

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 Value

Sales value for the selected period. Use the Sales Basis control to switch between Net (after discounts) and Gross (before discounts). Defaults to Net.

Value of all items sold, minus cancellations, before or after discounts depending on the Sales Basis control.

Booked

Total order value at checkout.

Sum of the order amounts at the moment the order was placed.

Paid

Total payments received against bookings.

Sum of all payments received on the orders.

Outstanding

Remaining unpaid amount across orders.

Order amount minus the payments already received.

Pending Orders

Orders that are unpaid or only partially paid.

Number of orders with a payment status of Unpaid or Partially paid.

Refund Rate

Refunded amount as a share of paid amount (order grain).

Amount refunded divided by amount paid, across orders.

Cancellation Rate

Share of items cancelled. <5% green, 5-10% amber, >=10% red.

Cancelled items divided by all items sold.

Tickets Sold

Number of tickets (items) sold in the selected period, net of cancellations. Responds to the Product filter and all other dashboard filters.

Number of items sold (tickets, retail and memberships) minus cancellations. Also on: Capacity, demand & trends. Not the same as Tickets sold on Daily overview, which counts tickets only.

Booking Count

Distinct count of orders in the selected window.

Each order counts once. Also on: Customer intelligence.

Sales Bookings

Bookings excluding No Sales (refund-only / cancellation-only).

Orders that contain at least one sale. Orders that only hold a refund or a cancellation are left out.

Avg ticket revenue per order

Average net ticket revenue per order containing tickets.

Net ticket revenue divided by the number of orders that contain at least one ticket. This is an amount in the order currency, not a number of tickets. Also on: POS statistics.

Avg retail revenue per order

Average net retail revenue per order containing retail items.

Net retail revenue divided by the number of orders that contain at least one retail item. Also on: POS statistics.

Avg Booking Lead Time (days)

Average days between purchase and visit or validity start.

For each item, the number of days between the purchase and the visit (or the start of validity), averaged. Same-day purchases count as 0. Also on: Customer intelligence.

B2B Revenue Share

B2B (OTAs + External) as a share of total net sales.

Net sales through online travel agencies and external resellers, divided by total net sales.

Links

Related articles

  • The capacity, demand and trends dashboard overview

  • The products and discount effectiveness dashboard overview

  • The attendance and scan dashboard overview

Did this answer your question?