Every figure from your current dashboards has a place in the new ones. This article shows, dashboard by dashboard, where each figure lives now and which control to set to see it the way you did before.
1. Before you start
Find the dashboard you use today, then the figure. The Where it is now column reads as Dashboard › Tile. The Set column tells you which filter or control to use to get the same view. Rows marked Changed are calculated differently now: the note says what changed, and the data catalogue explains the new definition.
📌 How to access: app.smeetz.com > Analytics. POS statistics opens inside your point of sale, as before.
Five things apply to many figures:
Amounts include VAT by default. Your current dashboards showed sales without VAT. Sales performance & trends, Capacity, demand & trends and Products & discount effectiveness have a VAT Basis control: set it to VAT-exclusive to see amounts without VAT. Daily overview shows amounts including VAT.
One date per figure, with a switch. Your current dashboards showed each sales figure twice: by recognition date (the visit or event date) and by synchronization date (when the order was placed). The new dashboards show one figure and a Date basis control on Daily overview and Sales performance & trends: transaction is the synchronization date (default), recognition is the visit date. POS statistics stays on the recognition date.
Tickets and retail are a filter. One sales figure, filtered with Item Category on Sales performance & trends, or Category on POS statistics.
Ranked lists replace top 5. Where the current dashboard cut a list at five, the new tile lists everything, sorted. The first five rows are your old top 5.
Attendance counts people, not scans. A visitor who scans twice counts once, and the no-show rate is never negative. Figures based on scans can differ from your current dashboard. Definition: Attendance rate
2. Daily overview
Now in: Daily overview (read article →), Sales performance & trends (read article →), Capacity, demand & trends (read article →) and Attendance & scans (read article →).
Figure in your current dashboard | Where it is now | Set | Note |
Sales (recognition date) | Sales performance & trends › Sales Value | Date basis = recognition; VAT Basis = VAT-exclusive | Changed: includes VAT unless you switch VAT Basis. |
Sales (synchronization date) | Sales performance & trends › Sales Value | Date basis = transaction (default); VAT Basis = VAT-exclusive | Changed: includes VAT unless you switch VAT Basis. |
Sales (tickets, recognition date) | Sales performance & trends › Sales Value | Item Category = Ticket; Date basis = recognition; VAT Basis = VAT-exclusive | Tickets are a filter, not a tile. |
Sales (tickets, synchronization date) | Sales performance & trends › Sales Value | Item Category = Ticket; VAT Basis = VAT-exclusive |
|
Sales (retail, recognition date) | Sales performance & trends › Sales Value | Item Category = Retail; Date basis = recognition; VAT Basis = VAT-exclusive |
|
Sales (retail, synchronization date) | Sales performance & trends › Sales Value | Item Category = Retail; VAT Basis = VAT-exclusive |
|
Number of items sold (tickets, recognition date) | Daily overview › Tickets sold | Date basis = recognition |
|
Number of items sold (tickets, synchronization date) | Daily overview › Tickets sold | Date basis = transaction (default) | Same figure. |
Number of items sold (retail, recognition date) | Daily overview › Retail items sold | Date basis = recognition |
|
Number of items sold (retail, synchronization date) | Daily overview › Retail items sold | Date basis = transaction (default) | Same figure. |
Sales by segment (recognition date) | Daily overview › Sales by segment | Date basis = recognition; Customer / product segments filter | Changed: grouped by product; amounts include VAT. See also Sales performance & trends › Segment x Activity. |
Sales by segment (synchronization date) | Daily overview › Sales by segment | Customer / product segments filter | Changed: grouped by product; amounts include VAT. |
Sales by channel (recognition date) | Daily overview › Revenue by channel | Date basis = recognition | Changed: amounts include VAT. |
Sales by channel (synchronization date) | Daily overview › Revenue by channel | Date basis = transaction (default) | Changed: amounts include VAT. |
Top 5 best sellers (tickets) | Daily overview › Top Sellers - Tickets | Date basis | Changed: full ranked list, amounts include VAT. |
Top 5 best sellers (retail) | Daily overview › Top Sellers - Retail | Date basis | Changed: full ranked list, amounts include VAT. |
Sales by channel for each venue | Daily overview › Sales by channel per venue | Venue filter; Date basis = recognition for the visit-date view | Changed: amounts include VAT. |
Number of sold tickets by venue | Daily overview › Best seller tickets by venue | Venue filter | Changed: tickets per venue and product; no total bar per venue. |
Best seller retail products by venue | Daily overview › Best seller retail products by venue | Venue filter | Changed: amounts include VAT. |
Average value per basket (booking visit date) | Daily overview › Avg value per order | Date basis = recognition | Changed: includes VAT. Definition: Avg value per order |
Average number of items per basket (retail) | Daily overview › Avg basket size per order |
| Changed: one figure for tickets and retail together. |
Average number of items per basket (ticket) | Daily overview › Avg basket size per order |
| Changed: one figure for tickets and retail together. |
Number of visitors per booking per segment | Capacity, demand & trends › Tickets per Booking | Activity / Category filter | Changed: no split by segment. |
Filling rate (visit date) | Capacity, demand & trends › Realized Util % (past slots) and Forward Util % (upcoming slots) | Slot date range | Changed: valid tickets divided by capacity, per slot. Definition: Utilisation |
Visitor walk-in vs reservation rate (visit date) | Daily overview › Same-day vs pre-booked visitors | Visit date | Changed: walk-in now means bought on the day of the visit, reservation means booked in advance. Definition: Walk-in vs reservation |
Number of remaining visitors to check-in (visit date) | Daily overview › Remaining visitors to check-in | Date basis = recognition |
|
Number of checked-in visitors (visit date) | Daily overview › Checked-in visitors | Visit date | Same figure. Also Attendance & scans › Unique Attendees. |
No-show rate (visit date) | Daily overview › No-show rate | Visit date | Changed: counts people, never negative. Also Attendance & scans › No Show Rate. Definition: No-show rate |
Customer returning rate (booking visit date) | Daily overview › Customer return rate | Date basis = recognition | Changed: share of customers with more than one order in the period. Before: share of bookings whose customer had booked before. Definition: Customer return rate |
Checked-in visitors by channel | Attendance & scans › Scans by Channel | Date range (Scan date) | Changed: counts scans, not split by venue. Also Capacity, demand & trends › Checked-in by Channel. |
3. Activities summary
Now in: Sales performance & trends (read article →) and Products & discount effectiveness (read article →).
Figure in your current dashboard | Where it is now | Set | Note |
Activities summary: sales per activity | Sales performance & trends › Top Activities by Sales | VAT Basis = VAT-exclusive; Item Category | Changed: per activity, not per time slot; includes VAT unless you switch. |
Activities summary: booked, paid, outstanding | Sales performance & trends › Booked, Paid, Outstanding | VAT Basis = VAT-exclusive | Totals for the selected period. |
Activities summary: pending bookings | Sales performance & trends › Pending Orders |
| Count of orders not yet paid. |
Activities summary: revenue per ticket type | Products & discount effectiveness › Revenue by Activity Type | VAT Basis = VAT-exclusive | Gross, discount and net per category. |
4. Demand and revenue planning
Now in: Capacity, demand & trends (read article →).
Figure in your current dashboard | Where it is now | Set | Note |
Sales over the year (heatmap) | Capacity, demand & trends › Sales Value & Items Sold Over Time | Purchase date range; VAT Basis = VAT-exclusive | Changed: a line over time instead of a heatmap. The heatmap now shows tickets: Demand by Slot Time (hour x day). |
Number of sold tickets (heatmap) | Capacity, demand & trends › Demand by Slot Time (hour x day) | Slot date range | Same figure. |
Sales value and number of tickets sold over time | Capacity, demand & trends › Sales Value & Items Sold Over Time | Purchase date range; VAT Basis = VAT-exclusive | Changed: includes VAT unless you switch. |
5. KPI analytics
Now in: Capacity, demand & trends (read article →) and Sales performance & trends (read article →).
Figure in your current dashboard | Where it is now | Set | Note |
Net sales volume | Sales performance & trends › Sales Value | VAT Basis = VAT-exclusive; Sales Basis = Net | Changed: includes VAT unless you switch. |
Valid tickets | Capacity, demand & trends › Valid Tickets | Slot date range | Same figure. |
Scanned tickets | Capacity, demand & trends › Scanned Tickets | Slot date range | Changed: counts people scanned in. Total scans are on Attendance & scans › Total Scans. |
Available tickets | Capacity, demand & trends › Available Tickets | Slot date range | Same figure. |
6. Discount report
Now in: Products & discount effectiveness (read article →).
Figure in your current dashboard | Where it is now | Set | Note |
Value before discount, discount, value after | Products & discount effectiveness › Discount Funnel, Gross Revenue, Net Revenue | Date range; VAT Basis = VAT-exclusive; Campaign Type | Changed: includes VAT unless you switch. |
Tickets discounted | Products & discount effectiveness › Tickets Discounted | Date range; Campaign Type |
|
Discount per campaign and product | Products & discount effectiveness › Per-Promo Detail | Item Category | Changed: per promo code; the split by product and price is not in the table. |
Discount per ticket category | Products & discount effectiveness › Revenue by Activity Type | VAT Basis = VAT-exclusive | Gross, discount and net per category. |
7. Promotion and membership
Now in: Promotions and memberships (read article →) and Products & discount effectiveness (read article →). Filters on Promotions and memberships: Transaction date, Product name, Promo code.
Figure in your current dashboard | Where it is now | Set | Note |
Discount volume (promo codes) | Promotions and memberships › Promo code discount value | Transaction date | Same figure. |
Usage (promo codes) | Promotions and memberships › Promo code usage count | Transaction date | Same figure. |
AVG #tickets/items discounted per promo code | Products & discount effectiveness › Avg Tickets per Promo | Date range | Same figure. |
AVG discount volume per promo code | Products & discount effectiveness › Avg Discount per Promo | Date range | Same figure. |
Top-ranked campaigns per usage | Promotions and memberships › Top-ranked campaigns per usage |
| Same figure. |
Top-ranked promocodes per usage | Promotions and memberships › Top-ranked promo codes per usage |
| Same figure. |
Top-ranked promocodes per discount volume | Promotions and memberships › Top-ranked promo codes by discount value |
| Same figure. |
Usage of promocodes per ticket/item | Promotions and memberships › Promo code usage per ticket / item |
| Same figure. |
Promo code discount volume per campaign | Promotions and memberships › Top-ranked campaigns per discount value |
| Same figure. |
Details of promocodes used | Promotions and memberships › Promo code details (by product and price) | Promo code filter | Same table. |
Discount volume (memberships) | Promotions and memberships › Membership voucher discount value | Transaction date | Same figure. |
Usage (memberships) | Promotions and memberships › Membership voucher usage count | Transaction date | Same figure. |
AVG #tickets/items discounted per membership holder | Products & discount effectiveness › Avg Tickets per Member | Date range | Same figure. |
AVG discount volume per membership holder | Products & discount effectiveness › Avg Discount per Member | Date range | Same figure. |
Top-ranked memberships per discount volume | Promotions and memberships › Top-ranked memberships per discount value |
| Same figure. |
Top-ranked memberships per usage | Promotions and memberships › Top-ranked memberships per usage |
| Same figure. |
Membership voucher usage trend | Promotions and memberships › Membership usage trend |
| Changed: one line for all memberships, not one per membership type. |
Details of memberships voucher used | Promotions and memberships › Membership voucher details |
| Same table. |
8. Season tickets analytics
Now in: Products & discount effectiveness (read article →) and Promotions and memberships (read article →). Season tickets are memberships in the new dashboards.
Figure in your current dashboard | Where it is now | Set | Note |
Total season ticket | Products & discount effectiveness › Memberships / Season Passes Sold | Date range | Same figure. |
Onsite season ticket | Products & discount effectiveness › Memberships / Season Passes Sold | Channel = point of sale | On-site is a filter, not a tile. |
Online season ticket | Products & discount effectiveness › Memberships / Season Passes Sold | Channel = Online | Online is a filter, not a tile. |
Breakdown of online and onsite season tickets | Products & discount effectiveness › Memberships / Season Passes Sold | Switch the Channel filter | Changed: two filter views instead of one bar. |
Average tickets per online and onsite season ticket | Products & discount effectiveness › Avg Tickets per Member | Date range | Same figure. |
Average tickets per online season ticket | Products & discount effectiveness › Avg Tickets per Member | Channel = Online |
|
Average tickets per onsite season ticket | Products & discount effectiveness › Avg Tickets per Member | Channel = point of sale |
|
Top products purchased with season tickets | Promotions and memberships › Membership voucher details |
| Changed: a list of items per member, not a ranked bar. |
Evolution by week of online and onsite season tickets | Promotions and memberships › Membership usage trend |
| Changed: voucher usage over time, all channels together. |
Sales and ticket volumes by season ticket | Promotions and memberships › Membership voucher details |
| Changed: holder, item, order and discount per use. Issued, cancelled and valid counts and sales per member are not in the table (see section 13). |
Top 5 season tickets | Promotions and memberships › Top-ranked memberships per usage |
| Full ranked list. |
9. Attendance and scan
Now in: Attendance & scans (read article →). Three dates on this dashboard: Slot date (attendance) for the attendance figures, Date range (Scan date) for the scan figures, Screening date for expected attendance.
Figure in your current dashboard | Where it is now | Set | Note |
Number of valid tickets | Attendance & scans › Total Valid Tickets | Slot date (attendance) | Same figure. |
Number of valid tickets scanned | Attendance & scans › Unique Attendees | Slot date (attendance) | Changed: counts people. Definition: Unique attendees |
Attendance rate | Attendance & scans › Attendance Rate | Slot date (attendance) | Changed: each ticket counts once, never above 100 %. Definition: Attendance rate |
No show rate | Attendance & scans › No Show Rate | Slot date (attendance) | Changed: counts people, never negative. Definition: No-show rate |
Active memberships | Attendance & scans › Active Memberships | Date range (Scan date) | Same figure. |
Total number of scans | Attendance & scans › Total Scans | Date range (Scan date) | Same figure. |
Most scanned tickets | Attendance & scans › Top Sessions by Attendance | Ticket / Category filter | Changed: ranked by session. For one ticket type, set the Ticket / Category filter; the per-ticket rates are in Attendance rate per ticket. |
Best scanners | Attendance & scans › Best scanners | Date range (Scan date) | Same figure. |
Number of scans over time | Attendance & scans › Number of Scans Over Time | Date range (Scan date) | Same figure. |
Attendance rate per ticket | Attendance & scans › Attendance rate per ticket | Slot date (attendance) | Changed: capped at 100 %. |
Number of valid tickets and scans over time | Attendance & scans › Attendance Rate over Time and Number of Scans Over Time |
| Changed: two tiles; attendance counts people. |
Details of attendance | Attendance & scans › Attendance rate per ticket and Expected attendance per slot | Ticket / Category, Product, Price filters | Changed: rate per ticket type and expected attendance per slot; no valid-versus-scanned table per ticket. |
Details of scans | Attendance & scans › Details of Scans | Date range (Scan date) | Same table. |
10. Stock analytics
Now in: Stock analytics (read article →).
Figure in your current dashboard | Where it is now | Set | Note |
Stock overview | Stock analytics › Occupancies Over Time | Date range; Stock Type | Changed: occupancies per period; the per-stock view is Bookings per Stock. |
List of bookings per stock | Stock analytics › Bookings per Stock | Date range; Stock Type | Same table. |
List of problematic bookings per stock | Stock analytics › Over-booked Occupancies | Date range; Stock Type | Changed: each over-booked occupancy with its overlap count. |
11. Email campaigns
Now in: Automated email campaigns (read article →). Opens and clicks now count people: one person who opens the same email three times counts once. Definition: Open rate
Figure in your current dashboard | Where it is now | Set | Note |
Email sent, Sent | Automated email campaigns › Engagement Funnel | Event date (engagement) | Changed: counted per email, not per recipient event. |
Campaign sent | Automated email campaigns › Campaign & Automation Details | Campaign filter | One row per campaign. |
Delivered | Automated email campaigns › Engagement Funnel, Delivery Rate | Event date (engagement) | Changed: counted per email. |
Opened | Automated email campaigns › Engagement Funnel, Open Rate | Event date (engagement) | Changed: counts people, not opens. |
Clicked | Automated email campaigns › Engagement Funnel, Click-Through Rate | Event date (engagement) | Changed: counts people, not clicks. |
Unsubscribed | Automated email campaigns › Unsubscribe Rate | Event date (engagement) | Changed: shown as a rate. |
Bounced | Automated email campaigns › Hard Bounce Rate and Soft Bounce Rate | Event date (engagement) | Changed: shown as two rates. |
Delivery rate, open rate, click rate, unsubscribe rate | Automated email campaigns › Delivery Rate, Open Rate, Click-Through Rate, Unsubscribe Rate | Event date (engagement) | Rates follow the people-based counts. |
Bounce rate | Automated email campaigns › Hard Bounce Rate and Soft Bounce Rate |
| Changed: split into hard and soft bounces. |
Campaign performance over time | Automated email campaigns › Engagement Over Time (weekly) |
| Changed: open and click rates per week instead of daily counts. |
Opens by country | Automated email campaigns › Opens by Country |
| Same figure. |
Best ranked devices per # emails opened | Automated email campaigns › Device Split |
| Same figure. |
Best ranked email clients per # emails opened | Automated email campaigns › Email Clients by # Opens |
| Same figure. |
Best ranked URL per # clicks | Automated email campaigns › Top URLs by Clicks |
| Same figure. |
Details of emails clicked per URL (table) | Automated email campaigns › Top URLs by Clicks |
| Changed: top URLs only, without the device and email client split. |
List of the receivers and the status of email sent | Automated email campaigns › Recipient List |
| Changed: latest status per recipient instead of every event. |
Campaign performance details | Automated email campaigns › Campaign & Automation Details | Campaign filter | Changed: campaign, status and emails sent. For one campaign's rates, set the Campaign filter and read the rate tiles. |
12. POS statistics (in the point of sale)
Now in: POS statistics (read article →), inside your point of sale. It stays on the recognition date, so the synchronization-date twins have no separate tile.
Figure in your current dashboard | Where it is now | Set | Note |
Sales (recognition date) | POS statistics › Net Sales | Recognition date | Same figure. |
Sales | POS statistics › Net Sales | Recognition date | Changed: recognition date only. |
Sales (tickets, recognition date) | POS statistics › Net Sales | Category = Ticket | Tickets are a filter, not a tile. |
Sales (tickets) | POS statistics › Net Sales | Category = Ticket | Changed: recognition date only. |
Sales (retail, recognition date) | POS statistics › Net Sales | Category = Retail |
|
Sales (retail) | POS statistics › Net Sales | Category = Retail | Changed: recognition date only. |
Number of items sold (tickets, recognition date) | POS statistics › Valid Tickets | Category = Ticket | Same figure. |
Number of items sold (tickets) | POS statistics › Valid Tickets | Category = Ticket | Changed: recognition date only. |
Number of items sold (retail, recognition date) | POS statistics › Valid Tickets | Category = Retail | Same figure. |
Number of items sold (retail) | POS statistics › Valid Tickets | Category = Retail | Changed: recognition date only. |
Average value per basket (booking visit date) | POS statistics › Avg Value per Basket | Recognition date | Same figure. |
Average number of items per basket (retail) | POS statistics › Avg retail revenue per order | Recognition date | Changed: average retail value per order instead of the item count. The item count is on Daily overview › Avg basket size per order. |
Average number of items per basket (tickets) | POS statistics › Avg ticket revenue per order | Recognition date | Changed: average ticket value per order instead of the item count. The item count is on Daily overview › Avg basket size per order. |
Visitor walk-in vs reservation rate | POS statistics › Same-day vs pre-booked visitors | Recognition date | Changed: walk-in now means bought on the day of the visit. Definition: Walk-in vs reservation |
Remaining visitors to check-in | POS statistics › Remaining visitors to check-in | Recognition date | Same figure. |
Number of checked-in visitors | POS statistics › Checked-in visitors | Recognition date | Same figure. |
No-show rate | POS statistics › No-show rate | Recognition date | Changed: counts people, never negative. Definition: No-show rate |
13. Figures without a direct equivalent
A few very specific figures have no tile in the new dashboards. If you rely on one of them, tell your Account Manager.
Email opens by recipient domain. The email dashboard has no split by recipient domain.
Per-campaign email rates in one table. The campaign table shows campaign, status and emails sent. To read one campaign's rates, set the Campaign filter and read the rate tiles.
Season tickets per member with issued, cancelled and valid tickets and sales. The membership tables show usage and discount per member, not ticket counts or sales.
Activities summary per time slot. The new tiles work per activity, not per slot.
Sales value heatmap by hour and day. The heatmap shows tickets; sales are shown as a line over time.