Knowledge is a key factor to your success. We want to provide to our decision makers users a tool that enables them to get the most from their data. With it you can follow your KPIs easily and intuitively, explore your data and thus get some relevent insights on your activity.
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. |