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List of the main KPIs :
| Definition/calculation | |
|---|---|
| Capacity | Total initial amount of tickets available on sales |
| Tickets | Total amount of tickets sold |
| Turnover by ticket | The turnover divided by the number of sold tickets. It gives you the average turnover by ticket |
| Discount by ticket | Gives you the average discount by ticket |
| Attendance | Total amount of sold tickets divided by the capacity |
| Difference since yesterday | Amount of tickets sold today divided by the |
| Max. revenue | Potential revenue if all tickets were sold at full price |
| Full price | the highest tariff of each seat category |
| 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 show you the full year |
| Reduced | Number of tickets that have not been sold at the full price |
| Complimentary ticket | 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 |
| 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 between consecutive attendances of a customer (in days). 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, this 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 | An histogram counting the customers depending on how far they live from the instution (based on the ZIP code) |
| Average price per ticket | An histogram counting the customers depending on how they paid in average per ticket. |
| Purchase: days before the performance | An histogram displaying 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. |