Go directly to the Standard Dashboards & Reports list.
Go directly to the Sales Reports list.
List of the main KPIs :
KPI | Definition/calculation |
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Capacity | Total initial amount of tickets available on sales (invalid & blocked seats are not taken in count). |
Tickets | Total amount of tickets sold (refund excluded). |
Turnover by ticket | Average turnover by ticket. The turnover divided by the number of sold tickets. |
Discount by ticket | Average discount by ticket. It represents the difference between the base unit amount per ticket and the actual paid amount. |
Attendance | Total amount of sold tickets divided by the capacity. |
Difference since yesterday | This percentage represents the part of tickets sold for the day. (eg. if you sold 200 tickets today, and there are 20.000 seats in total, it will say 1%.) |
Max. revenue | Potential revenue if all tickets were sold at standard price. |
Standard price | The price of the tariff set on the 1st rank of the Occasional contact audience category in SecuTix. |
Financial utilization | Turnover of tickets sold divided by the max. revenue. |
Turnover by seat | Turnover of tickets sold divied by the capaciy. |
Utilization | Number of sold tickets + reservations divided by the capacity. |
YTD | Year to date - display months only until current month. |
Full year | No restriction, will display the full year. |
Reduced | Number of tickets that have not been sold at the full price. |
Complimentary tickets | All tickets that have been given out for free. |
Average presales in days before preformance | Average number of days between the booking date and performance date. |
Purchase horizon | A dimension indicating when a ticket was purchased in terms of days before the performance. Possible values are: Day of Performance or Later, Last Week, Last Month, Last 3 Months, Last 6 Months, Earlier. |
Last attendance | Date of the last attendance at a performance for a given contact. |
Next anticipated attendance | If A is the median of all intervals between consecutive attendaces of a customer (in days), next anticipated visit is Last Attendance + A. |
Interval since last attendance | Number of days between today and the contact's last attendance to a performance. |
Attendance frequency | The median of all intervals (in days) between consecutive attendances of a customer. This is an estimation of the average number of days between the contact's visits. |
Overdue (estimation) | (Interval since last attendance) - (Attendance frequency)*1.5 1.5 is a tolerance factor applied. If the the value is positive, it means the customer has not come for longer than usual (he/she is overdue). If the value is negative, the contact came earlier than expected. |
Distance to institution | It represents the distinace in KM between where the contact lives (based on the ZIP code) and your organization. |
Average price per ticket | It reprensents the average price paid by the customers per tickets. It is calculated based on the total amount of tickets sold divided by the amount of money paid. |
Purchase: days before the performance | This shows you how many days in average does a customer purchase the tickets before the performance. |
Customers by production | A count of how many customers have purchased tickets for a givent event. |
Attendance by customer | A count of how many performances a contact has attented. |
List of the reports:
Standard Dashboards & Sales Reports | Description
| Dashboard | Sales Overview | Performance Report | Production Overview | Production Details - Overview | Production Details - Comparison in weekdays and months | Production Details - Comparison 2 | Sales Report | Sales Analysis | Annual Overview | Comparison with previous year | Utilization overview |
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This report displays tickets or revenue data organized by events and performances. For each event or performance you can see the various information by seat categories. This enables you to get a better understanding of how your seat categories perform per event/performance.
For each performance and seat categories, get to know the breakdown of the sales! See how many tickets have been sold full price, reduced, complimentary , etc. This enables a better understanding of the breakdown of each seat categories.
Select a specific performance and vizualize your seat map by seat categories or sectors.
Seat Maps - Sales History
Select a specific performance and use the scroll bar on the top to vizualize how your seats were sold in the time with a breakdown by kind of tickets (full price, reduced, season tickets, etc). This helps you to understand which kind of audiences book their tickets first. You can thus sharpen your marketing strategy accordingly.
This report enables a gaphical analysis of your seat map for a chosen time frame. Then select if you want to see the seat map in terms of utlization, revenue, discounts or hot seats (seats that are sold very fast).
This report is one of the most useful one for a season analysis. You decide if you want to analyze your data in terms of tickets sold or revenue and then, select the time unit for comparison. Drill down from a season view to a months view with a click and how your activity is doing compared to last year/month/season/etc.
See below a comparison by months over two seasons in terms of utulization.
This report will help you to get a better understanding of events with multiple performances. The focus is set on the performance date and among others it helps you to compare how each performance of a same event is performing in terms of revenue or attendance.
This report is also made for multiple performances events but it focuses on the date of purchase. It helps you to understand when did people purchase their tickets: was it last minute or long time before the Première?
This report gives you insights in terms of sold tickets and turnover on a set of selected data (events, seasons, months, etc). The graphic below show you the booking timeline for the Season 17/18 by months.
For this report, it is interesting to have one performance (or production) selected. Then you see tickets/revenue grouped by seat category (or one of the other dimensions) in days before performance in the left diagram. The diagram “relative” gives you the numbers in % relative to capacity (if you chose tickets) or ideal revenue (if you chose revenue)
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Dashboard (Museum) | |||||
Sold Ticket by Date | |||||
Sold Tickets - Annual Comparison | |||||
Turnover - Annual Comparison |
Attendance Reports | Description
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Attendance History | |||||||
Attendances - Overview | |||||||
Group Attendances - Structural Analysis | |||||||
Individual Attendances - Structural Analysis | |||||||
Attendances - Annual Comparison | |||||||
Attendances - Pricing Type | |||||||
Guided Tours - Overview | |||||||
Visitor Flow Analysis | |||||||
Lifecycle - Booking Period |
Structural Analysis | Description
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Group Attendances - Overview | |||||||
Group Attendances - Preview Report | |||||||
Individual Attendances - Overview | |||||||
Individual Attendances - Preview Report | |||||||
Turnover and Attendances by Time of Day | |||||||
Advanced Analysis | |||||||
Comparison of Exhibitions |
This report works the same as Sale Trend History - Analysis , but has different options for the 2nd dimension which groups the sales. These dimensions are especially interesting for bigger selections (like for a full season, or full month, or a space).
This report is a must! It enables the user to get a better understanding of the sales through a fine-grained analysis of different dimensions. The bar chart and the table automatically update the data depending on the user's selection. It is for exemple possible to see how the different seat categories are sold regarding the sales channels or the day of the week.
Using the drag & drop function, you can build your own tables. To do so, please duplicate the report sheet and edit the copy.You can then select dimensions and drag & drop them to get your data. Like a flexi pivot table in Excel, you can use formula to apply to your data.
This report gives you specific insights on your season tickets sales: number of sales, turnover it represents, amount of tickets it represents, etc. You can compare seasons tickets from different seasons and see how they perform in terms of sales, ticket sold within a season ticket and tunrover.
Season Ticket Details
It is always interesting to know which events and performances season tickets holder prefer. In this report, you can see the top events and performances selected by the season ticket holders. This report is of great help to design your next season offers.
This report focuses on the sales timeline of your season tickets products! See by date, month or year when your selection of season tickets was sold! Get a better understanding of the sales timing and sharpen your marketing strategy accordingly!