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Within the Sales tab, the Salesboard page allows you to analyze your sales and your spectators’ purchasing behavior using tables. The page is divided into three sections:
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Filters
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View
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Table
1. Filtrers
Filters determine the elements you will be able to analyze in the following sections. They help you refine your analyses and gain a precise view of how your sales evolve based on a defined parameter. Please note that it is possible to combine several filters and display multiple elements within a single filter.
Let’s now review all the elements you can filter.
| Types of event | If you have configured event types, you can analyze the evolution of your sales across this entire typology. |
| Venue |
If you organize events in several venues, this allows you to display the sales curve for one or more specific venues. |
| Season |
The season filter allows you to refine your analysis for one or several seasons. |
| Event |
You can also focus your analysis on one or more specific events. |
| Performance | Similarly, you can choose to display results for one or several performances of a given event. To do this, you must first select an event. |
| Sales channel | This filter is useful if you want to display, for example, only sales made online or at the box office. |
| Type of categories | If you have configured category types, you can refine your analysis for one or several category types. |
| Category | You can choose to display one or several categories. |
| Type of pricing formulas | If you have configured price formula types, you can refine your analysis for one or several types. |
| Price formula | You can choose to display one or several price formulas. |
| List |
This filter allows you to analyze sales for a specific audience segment. |
| Ticket status | Several ticket statuses are available: sold, reserved, canceled, and refunded. By default, Arenametrix displays sold tickets, but you can choose to include reserved tickets as well. |
We recommend combining these filters to generate precise and insightful data. For example, you can define a specific event and filter by the online sales channel. Once your filters
are selected, do not forget to click Submit to display the chosen elements.
2. View
On this page, the View section allows you to determine the data you want to analyze in the table. The Group by function lets you define the elements displayed in the left column of your table. You can choose from the following elements:
Sales:
| Types of events |
Allows you to compare sales by the event typology you previously defined. |
| Venues | If you host performances in several venues, this allows you to determine which venue attracts the most audience. |
| Seasons | Allows you to refine your analysis across one or several seasons in order to observe the evolution of your sales. |
| Events | This report is very useful throughout the season, as it allows you to quickly see the number of tickets sold, the revenue generated, and the average price for each event. |
| Performances |
If an event has several performances, this allows you to view the detailed breakdown per performance. To do this, select the event in the Filters section, then choose Group by performance in the View section. |
| Sales channels | This function shows the distribution of sales by sales channel. |
| Types of categories |
Allows you to see the distribution by category type if you have predefined them. |
| Categories | If your venue includes several categories, you can determine which category generates the most revenue or which ones may need stronger marketing support. |
| Type of pricing formulas |
Allows you to see the distribution by price formula type if predefined. |
| Pricing formulas | If you have multiple price formulas, this allows you to easily identify which one generated the most ticket sales. |
| Status of ticket |
This feature shows the distribution of sold, reserved, canceled, or refunded tickets. |
Period:
| Date | Based on the filters defined beforehand, this parameter determines the number of tickets sold and the revenue generated day by day over the selected period. |
| Hour | Grouping by hour allows you to see at what time of day you sell the most tickets during the selected period. |
| Day of week |
Similarly, grouping by day of the week allows you to determine the number of tickets sold for each day of the week during the chosen period. |
| Week |
Grouping by week aggregates the number of tickets sold for each week of the year, with week 1 corresponding to the first week of January. |
| Month |
Similarly, grouping by month aggregates the number of tickets sold for each month of the year. |
| Year | Grouping by year aggregates the number of tickets sold per calendar year. |
In addition, the Period parameter allows you to define the timeframe for your analysis.
Once all these parameters are defined, do not forget to click Submit to display the table. We also encourage you to explore the different combinations to uncover valuable insights.
3. Table
The table contains six different columns:
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the first column defined by the field selected in Group by above
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number of tickets
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filling (vs. target)
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filling (vs. capacity)
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average price
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amount
You can choose whether or not to display certain columns. To do so, click the buttons next to Display in table to select or deselect the columns of your choice.
Within the table, you can also sort the displayed data alphabetically, in ascending order, or in descending order. To do this, simply click the arrows to the right of the column names to set the desired order.
